WorldWideScience

Sample records for energy residential consumption

  1. Analysis of a Residential Building Energy Consumption Demand Model

    Directory of Open Access Journals (Sweden)

    Meng Liu

    2011-03-01

    Full Text Available In order to estimate the energy consumption demand of residential buildings, this paper first discusses the status and shortcomings of current domestic energy consumption models. Then it proposes and develops a residential building energy consumption demand model based on a back propagation (BP neural network model. After that, taking residential buildings in Chongqing (P.R. China as an example, 16 energy consumption indicators are introduced as characteristics of the residential buildings in Chongqing. The index system of the BP neutral network prediction model is established and the multi-factorial BP neural network prediction model of Chongqing residential building energy consumption is developed using the Cshap language, based on the SQL server 2005 platform. The results obtained by applying the model in Chongqing are in good agreement with actual ones. In addition, the model provides corresponding approximate data by taking into account the potential energy structure adjustments and relevant energy policy regulations.

  2. Modeling temporal variations in global residential energy consumption and pollutant emissions

    International Nuclear Information System (INIS)

    Chen, Han; Huang, Ye; Shen, Huizhong; Chen, Yilin; Ru, Muye; Chen, Yuanchen; Lin, Nan; Su, Shu; Zhuo, Shaojie; Zhong, Qirui; Wang, Xilong; Liu, Junfeng; Li, Bengang; Tao, Shu

    2016-01-01

    Highlights: • Space-for-time substitution was tested for seasonality of residential energy. • Regression models were developed to simulate global residential energy consumption. • Factors affecting the temporal trend in residential energy use were identified. • Climate warming will induce changes in residential energy use and emissions. - Abstract: Energy data are often reported on an annual basis. To address the climate and health impacts of greenhouse gases and air pollutants, seasonally resolved emissions inventories are needed. The seasonality of energy consumption is most affected by consumption in the residential sector. In this study, a set of regression models were developed based on temperature-related variables and a series of socioeconomic parameters to quantify global electricity and fuel consumption for the residential sector. The models were evaluated against observations and applied to simulate monthly changes in residential energy consumption and the resultant emissions of air pollutants. Changes in energy consumption are strongly affected by economic prosperity and population growth. Climate change, electricity prices, and urbanization also affect energy use. Climate warming will cause a net increase in electricity consumption and a decrease in fuel consumption by the residential sector. Consequently, emissions of CO_2, SO_2, and Hg are predicted to decrease, while emissions of incomplete combustion products are expected to increase. These changes vary regionally.

  3. Residential energy consumption: A convergence analysis across Chinese regions

    International Nuclear Information System (INIS)

    Herrerias, M.J.; Aller, Carlos; Ordóñez, Javier

    2017-01-01

    The process of urbanization and the raise of living standards in China have led an increasing trend in the patterns of residential consumption. Projections for the population growth rate in urban areas do not paint a very optimistic picture for energy conservation policies. In addition, the concentration of economic activities around coastal areas calls for new prospects to be formulated for energy policy. In this context, the objective of this paper is twofold. First, we analyse the effect of the urbanization process of the Chinese economy in terms of the long-run patterns of residential energy consumption at national level. By using the concept of club convergence, we examine whether electricity and coal consumption in rural and urban areas converge to the same long-run equilibrium or whether in fact they diverge. Second, the impact of the regional concentration of the economic activity on energy consumption patterns is also assessed by source of energy across Chinese regions from 1995 to 2011. Our results suggest that the process of urbanization has led to coal being replaced by electricity in urban residential energy consumption. In rural areas, the evidence is mixed. The club convergence analysis confirms that rural and urban residential energy consumption converge to different steady-states. At the regional level, we also confirm the effect of the regional concentration of economic activity on residential energy consumption. The existence of these regional clusters converging to different equilibrium levels is indicative of the need of regional-tailored set of energy policies in China.

  4. Building and household X-factors and energy consumption at the residential sector

    International Nuclear Information System (INIS)

    Estiri, Hossein

    2014-01-01

    Energy use in residential buildings is one of the major sources of greenhouse gas emission production from cities. Using microdata from the 2009 Residential Energy Consumption Survey (RECS), this study applies structural equation modeling to analyze the direct, indirect, and total impacts of household and building characteristics on residential energy consumption. Results demonstrate that the direct impact of household characteristics on residential energy consumption is significantly smaller than the corresponding impact from the buildings. However, accounting for the indirect impact of household characteristics on energy consumption, through choice of the housing unit characteristics, the total impact of households on energy consumption is just slightly smaller than that of buildings. Outcomes of this paper call for smart policies to incorporate housing choice processes in managing residential energy consumption. - Highlights: • Households indirectly influence residential energy use through housing choice. • Households' total impact on energy use is comparable to that of buildings. • Understanding households' indirect impact will enhance residential energy policy. • Smart energy policies are needed to target both direct and indirect effects

  5. Residential Energy Consumption Survey: Quality Profile

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-03-01

    The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

  6. Analyzing Residential End-Use Energy Consumption Data to Inform Residential Consumer Decisions and Enable Energy Efficiency Improvements

    Science.gov (United States)

    Carlson, Derrick R.

    While renewable energy is in the process of maturing, energy efficiency improvements may provide an opportunity to reduce energy consumption and consequent greenhouse gas emissions to bridge the gap between current emissions and the reductions necessary to prevent serious effects of climate change and will continue to be an integral part of greenhouse gas emissions policy moving forward. Residential energy is a largely untapped source of energy reductions as consumers, who wish to reduce energy consumption for monetary, environmental, and other reasons, face barriers. One such barrier is a lack of knowledge or understanding of how energy is consumed in a home and how to reduce this consumption effectively through behavioral and technological changes. One way to improve understanding of residential energy consumption is through the creation of a model to predict which appliances and electronics will be present and significantly contribute to the electricity consumption of a home on the basis of various characteristics of that home. The basis of this model is publically available survey data from the Residential Energy Consumption Survey (RECS). By predicting how households are likely to consume energy, homeowners, policy makers, and other stakeholders have access to valuable data that enables reductions in energy consumption in the residential sector. This model can be used to select homes that may be ripe for energy reductions and to predict the appliances that are the basis of these potential reductions. This work suggests that most homes in the U.S. have about eight appliances that are responsible for about 80% of the electricity consumption in that home. Characteristics such as census region, floor space, income, and total electricity consumption affect which appliances are likely to be in a home, however the number of appliances is generally around 8. Generally it takes around 4 appliances to reach the 50% threshold and 12 appliances to reach 90% of electricity

  7. Price sensitivity of residential energy consumption in Norway

    International Nuclear Information System (INIS)

    Nesbakken, R.

    1999-01-01

    The main aim of this paper is to test the stability of the results of a model which focus on the relationship between the choice of heating equipment and the residential energy consumption. The results for the income and energy price variables are of special interest. Stability in the time dimension is tested by applying the model on micro data for each of the years 1993-1995. The parameter estimates are stable within a 95% confidence interval. However, the estimated impact of the energy price variable on energy consumption was considerably weaker in 1994 than in 1993 and 1995. The results for two different income groups in the pooled data set are also subject to stability testing. The energy price sensitivity in residential energy consumption is found to be higher for high-income households than for low-income households. 19 refs

  8. Design and optimization of zero-energy-consumption based solar energy residential building systems

    Science.gov (United States)

    Zheng, D. L.; Yu, L. J.; Tan, H. W.

    2017-11-01

    Energy consumption of residential buildings has grown fast in recent years, thus raising a challenge on zero energy residential building (ZERB) systems, which aim at substantially reducing energy consumption of residential buildings. Thus, how to facilitate ZERB has become a hot but difficult topic. In the paper, we put forward the overall design principle of ZERB based on analysis of the systems’ energy demand. In particular, the architecture for both schematic design and passive technology is optimized and both energy simulation analysis and energy balancing analysis are implemented, followed by committing the selection of high-efficiency appliance and renewable energy sources for ZERB residential building. In addition, Chinese classical residential building has been investigated in the proposed case, in which several critical aspects such as building optimization, passive design, PV panel and HVAC system integrated with solar water heater, Phase change materials, natural ventilation, etc., have been taken into consideration.

  9. Analysis of rural residential energy consumption and corresponding carbon emissions in China

    International Nuclear Information System (INIS)

    Yao Chunsheng; Chen Chongying; Li Ming

    2012-01-01

    The analysis of rural residential energy consumption in China from 2001 to 2008 and corresponding impacts on climate change is presented in the paper. It is found that rural residential energy consumption has shown obvious transition from non-commercial energy to commercial energy. The percentage of biomass energy consumption dropped from 81.5% in 2001 to 70.9% in 2008, while the percentage of commercial energy increased from 17.1% to 25.1%. Besides, other renewable energy increased very fast with annual growth rate of 19.8%. Correspondingly, total CO 2 emissions from rural residential energy consumption had significant increase from 152.2 Million tons in 2001 to 283.6 Million tons in 2008. The annual growth rate of per capita CO 2 emissions was nearly 2 times faster than that of urban area. The major driving force for the consumption of commercial energy was the income of rural farmers, while strong rural energy policies supported the development of renewable energy. To satisfy the goals of energy supply and CO 2 emissions reduction in rural areas, it is advised to change the energy structure and improve the energy efficiency, such as to generate electricity using renewable technologies and to replace coal with modern biomass energy for cooking and heating. - Highlights: ► This study analyzed rural residential energy consumption in China 2001–2008. ► It shows obvious transition from non-commercial energy to commercial energy. ► CO 2 emissions from rural residential energy consumption have significant increases. ► Major driving forces are income of rural farmers and rural energy policies. ► Generate electricity using renewable technology and replace coal with modern biomass.

  10. Deep influence of passive low energy consumption multi-storey residential building in cold region

    Science.gov (United States)

    Shuai, Zhang; Lihua, Zhao; Rong, Jin; Dong, Junyan

    2018-02-01

    The example of passive architecture demonstration building in Jilin Province, China, based on the practical experience of this project, the control index of passive and low energy consumption residential buildings in cold and passive buildings is referenced by reference to the German construction standard and the Chinese residence construction document, “passive ultra-low energy consumption green Building Technology Guide (Trial)”. The requirement of passive low energy residential buildings on the ground heat transfer coefficient limits is determined, and the performance requirements of passive residential buildings are discussed. This paper analyzes the requirement of the passive low energy residential building on the ground heat transfer coefficient limit, and probes into the influence factors of the ground thermal insulation of the passive low energy consumption residential building. The construction method of passive low energy consumption residential building is proposed.

  11. Factor Analysis of Residential Energy Consumption at the Provincial Level in China

    Directory of Open Access Journals (Sweden)

    Weibin Lin

    2014-11-01

    Full Text Available This paper analyzes the differences in the amount and the structure of residential energy consumption at the provincial level in China and identifies the hidden factors behind such differences. The econometrical analysis reveals that population, economic development level, energy resource endowment and climatic conditions are the main factors driving residential energy consumption; while the regional differences in energy consumption per capita and the consumption structure can be mainly illustrated by various economic development levels, energy resource endowments and climatic conditions. Economic development level has a significant positive impact on the proportion of gasoline consumption, whereas its impact on the proportion of electricity consumption is not notable; energy resource endowment and climatic condition indirectly affect both the proportion of electricity consumption and that of gasoline consumption, primarily through their impacts on the proportions of coal consumption and heat consumption.

  12. Residential energy consumption in urban China: A decomposition analysis

    International Nuclear Information System (INIS)

    Zhao Xiaoli; Li Na; Ma, Chunbo

    2012-01-01

    Residential energy consumption (REC) is the second largest energy use category (10%) in China and urban residents account for 63% of the REC. Understanding the underlying drivers of variations of urban REC thus helps to identify challenges and opportunities and provide advices for future policy measures. This paper applies the LMDI method to a decomposition of China's urban REC during the period of 1998–2007 at disaggregated product/activity level using data collected from a wide range of sources. Our results have shown an extensive structure change towards a more energy-intensive household consumption structure as well as an intensive structure change towards high-quality and cleaner energy such as electricity, oil, and natural gas, which reflects a changing lifestyle and consumption mode in pursuit of a higher level of comfort, convenience and environmental protection. We have also found that China's price reforms in the energy sector have contributed to a reduction of REC while scale factors including increased urban population and income levels have played a key role in the rapid growth of REC. We suggest that further deregulation in energy prices and regulatory as well as voluntary energy efficiency and conservation policies in the residential sector should be promoted. - Highlights: ► We examine china's residential energy consumption (REC) at detailed product level. ► Results show significant extensive and intensive structure changed. ► Price deregulation in the energy sector has contributed a reduction of REC. ► Growth of population and income played a key role in REC rapid growth. ► We provide policy suggestions to promote REC saving.

  13. Solar Adoption and Energy Consumption in the Residential Sector

    Science.gov (United States)

    McAllister, Joseph Andrew

    This dissertation analyzes the energy consumption behavior of residential adopters of solar photovoltaic systems (solar-PV). Based on large data sets from the San Diego region that have been assembled or otherwise acquired by the author, the dissertation quantifies changes in energy consumption after solar-PV installation and determines whether certain household characteristics are correlated with such changes. In doing so, it seeks to answer two related questions: First, "Do residential solar adopters increase or decrease their electricity consumption after they install a solar-PV system?" Assuming that certain categories of residential adopters increase and others decrease, the second question is "Which residential adopters increase and which decrease their consumption and why?" The database that was used to conduct this analysis includes information about 5,243 residential systems in San Diego Gas & Electric's (SDG&E) service territory installed between January 2007 and December 2010. San Diego is a national leader in the installation of small-scale solar-electric systems, with over 12,000 systems in the region installed as of January 2012, or around 14% of the total number installed in California. The author performed detailed characterization of a significant subset of the solar installations in the San Diego region. Assembled data included technical and economic characteristics of the systems themselves; the solar companies that sold and installed them; individual customer electric utility billing data; metered PV production data for a subgroup of these solar systems; and data about the properties where the systems are located. Primarily, the author was able to conduct an electricity consumption analysis at the individual household level for 2,410 PV systems installed in SDG&E service territory between January 2007 and December 2010. This analysis was designed to detect changes in electricity consumption from the pre-solar to the post-installation period. To

  14. Prediction of residential building energy consumption: A neural network approach

    International Nuclear Information System (INIS)

    Biswas, M.A. Rafe; Robinson, Melvin D.; Fumo, Nelson

    2016-01-01

    Some of the challenges to predict energy utilization has gained recognition in the residential sector due to the significant energy consumption in recent decades. However, the modeling of residential building energy consumption is still underdeveloped for optimal and robust solutions while this research area has become of greater relevance with significant advances in computation and simulation. Such advances include the advent of artificial intelligence research in statistical model development. Artificial neural network has emerged as a key method to address the issue of nonlinearity of building energy data and the robust calculation of large and dynamic data. The development and validation of such models on one of the TxAIRE Research houses has been demonstrated in this paper. The TxAIRE houses have been designed to serve as realistic test facilities for demonstrating new technologies. The input variables used from the house data include number of days, outdoor temperature and solar radiation while the output variables are house and heat pump energy consumption. The models based on Levenberg-Marquardt and OWO-Newton algorithms had promising results of coefficients of determination within 0.87–0.91, which is comparable to prior literature. Further work will be explored to develop a robust model for residential building application. - Highlights: • A TxAIRE research house energy consumption data was collected in model development. • Neural network models developed using Levenberg–Marquardt or OWO-Newton algorithms. • Model results match well with data and statistically consistent with literature.

  15. Contribution of price/expenditure factors of residential energy consumption in China from 1993 to 2011: A decomposition analysis

    International Nuclear Information System (INIS)

    Liu, Zengming; Zhao, Tao

    2015-01-01

    Highlights: • Analysis about energy prices and the residential expenditure on energy in China. • Though the prices of energy declined, the price effect was negative. • The effect of price was the strongest restraining contribution. • Discussion on the proportion of energy expenditure in residential incomes. - Abstract: Since the establishment of the market economy in 1993, the residential consumption of commodities, including energy, has been highly influenced by prices in China. However, the contribution of the factors related to prices in residential energy consumption is relatively unexplored. This paper extends the KAYA identity with price and expenditure factors and then applies the LMDI method to a decomposition of residential energy consumption in China from 1993 to 2011. Our results show the following: (1) Though the prices of a majority of residential energy sources in China declined, the effect of energy prices restrained residential energy consumption because the expenditure structure changed during the period. (2) During the research period, the urban energy expenditure proportion experienced two progresses of rising and falling, and the rural proportion, which was stable before 2002, sharply increased. (3) The energy consumption intensity effect, which is the negative of the average energy price effect, contributed to most of the decrease in energy consumption, whereas residential income played a key role in the growth of consumption. According to the conclusions, we suggest further marketization and deregulation of energy prices, the promotion of advanced energy types and guidance for better energy consumption patterns

  16. Integrated Urban System and Energy Consumption Model: Residential Buildings

    Directory of Open Access Journals (Sweden)

    Rocco Papa

    2014-05-01

    Full Text Available This paper describes a segment of research conducted within the project PON 04a2_E Smart Energy Master for the energetic government of the territory conducted by the Department of Civil, Architectural and Environment Engineering, University of Naples "Federico II".  In particular, this article is part of the study carried out for the definition of the comprehension/interpretation model that correlates buildings, city’s activities and users’ behaviour in order to promote energy savings. In detail, this segment of the research wants to define the residential variables to be used in the model. For this purpose a knowledge framework at international level has been defined, to estimate the energy requirements of residential buildings and the identification of a set of parameters, whose variation has a significant influence on the energy consumption of residential buildings.

  17. User-needs study for the 1993 residential energy consumption survey

    Energy Technology Data Exchange (ETDEWEB)

    1993-09-24

    During 1992, the Energy Information Administration (EIA) conducted a user-needs study for the 1993 Residential Energy Consumption Survey (RECS). Every 3 years, the RECS collects information on energy consumption and expenditures for various classes of households and residential buildings. The RECS is the only source of such information within EIA, and one of only a few sources of such information anywhere. EIA sent letters to more than 750 persons, received responses from 56, and held 15 meetings with users. Written responses were also solicited by notices published in the April 14, 1992 Federal Register and in several energy-related publications. To ensure that the 1993 RECS meets current information needs, EIA made a specific effort to get input from policy makers and persons needing data for forecasting efforts. These particular needs relate mainly to development of the National Energy Modeling System and new energy legislation being considered at the time of the user needs survey.

  18. Exploring utility organization electricity generation, residential electricity consumption, and energy efficiency: A climatic approach

    International Nuclear Information System (INIS)

    Craig, Christopher A.; Feng, Song

    2017-01-01

    Highlights: • Study examined impact of electricity fuel sources and consumption on emissions. • 97.2% of variability in emissions explained by coal and residential electricity use. • Increasing cooling degree days significantly related to increased electricity use. • Effectiveness of state-level energy efficiency programs showed mixed results. - Abstract: This study examined the impact of electricity generation by fuel source type and electricity consumption on carbon emissions to assess the role of climatic variability and energy efficiency (EE) in the United States. Despite high levels of greenhouse gas emissions, residential electricity consumption continues to increase in the United States and fossil fuels are the primary fuel source of electricity generation. 97.2% of the variability in carbon emissions in the electricity industry was explained by electricity generation from coal and residential electricity consumption. The relationships between residential electricity consumption, short-term climatic variability, long-term climatic trends, short-term reduction in electricity from EE programs, and long-term trends in EE programs was examined. This is the first study of its nature to examine these relationships across the 48 contiguous United States. Inter-year and long-term trends in cooling degree days, or days above a baseline temperature, were the primary climatic drivers of residential electricity consumption. Cooling degree days increased across the majority of the United States during the study period, and shared a positive relationship with residential electricity consumption when findings were significant. The majority of electricity reduction from EE programs was negatively related to residential electricity consumption where findings were significant. However, the trend across the majority of states was a decrease in electricity reduction from EE while residential electricity consumption increased. States that successfully reduced consumption

  19. The Role of Cellars in Reducing Energy Consumption in the Residential Architecture of Iran

    Directory of Open Access Journals (Sweden)

    Hossein Soltanzadeh

    2015-03-01

    Full Text Available According to research, between 15 to 20 percent of the total energy consumption of every country is used for residential spaces. This amount is explanatory of the high cost and will follow the destruction of natural resources and environmental demolition. The aim of this research is to recognize earth thermal ability and its usage in public buildings and especially in private buildings in order to reduce energy consumption which can lead to huge savings in natural resources. It is intended to pay attention to the role of cellars as underground spaces in reducing energy consumption in residential spaces in this research. Cellars which are one of the climatic elements were very useful in residential spaces in the past and underground spaces in cities and public spaces are using in the contemporary era. Native Iranian architecture has exclusive features in residential spaces. One of the reducing energy consumption techniques is using ground depth and underground spaces in private and public buildings. Pit gardens, Shovadan, aqueducts, lavers, cellars with natural abilities in coldness, warmness and support are examples of underground space uses (providing cooling, heating and storing food and goods in Iranian cities. The Main questions of this research are: what the role of undergrounds or cellars was in native Iranian architecture and how impressionable it was in reducing energy consumption. The theoretical framework of this study indicates that several factors had positive impacts on reducing energy consumption in cellars. To do this research, descriptive-analytical methods were uses and were analyzed according to case studies in Qazvin houses. The results of this study reveal that cellars had a main role in human thermal comfort and they caused reducing energy consumption in residential and even public spaces. Also, several factors such as the cellar's depth, height and dimensions had impacts on the reduction amount of energy consumption and the

  20. Characteristics of residential energy consumption in China: Findings from a household survey

    International Nuclear Information System (INIS)

    Zheng, Xinye; Wei, Chu; Qin, Ping; Guo, Jin; Yu, Yihua; Song, Feng; Chen, Zhanming

    2014-01-01

    A comprehensive survey of 1450 households in 26 Chinese provinces was undertaken in 2012 to identify the characteristics and potential driving forces of residential energy consumption in China. The survey covers six areas: household characteristics, dwelling characteristics, kitchen and home appliances, space heating and cooling, residential transportation, and electricity billing, metering, and pricing options. The results show that a typical Chinese household in 2012 consumed 1426 kilograms standard coal equivalent, which is approximately 44 percent of the 2009 level in the United States and 38 percent of the 2008 level in the EU-27. District heating, natural gas, and electricity are three major residential energy sources, while space heating, cooking, and water heating are three major end-use activities. Moreover, the results suggest a large urban–rural gap in terms of energy sources and purpose of usage. Commercial energy is used mainly for space heating in urban areas, while biomass dominates mainly for cooking purpose in rural areas. The survey results can help decision makers and scholars identify energy conservation opportunities, and evaluate the effectiveness of energy policies. - Highlights: • We develop the first comprehensive survey of residential energy consumption in China. • A typical Chinese household in 2012 consumed 1426 kilograms coal equivalent. • Space heating accounts for half of energy demand. • A large rural–urban gap exists in terms of energy sources and end-use activities. • Results reveal challenges and opportunities for China's energy policy

  1. Index decomposition analysis of residential energy consumption in China: 2002–2010

    International Nuclear Information System (INIS)

    Nie, Hongguang; Kemp, René

    2014-01-01

    Highlights: • We examine residential energy use in China and predict household electricity use. • We decompose the dramatic increase of residential energy use in China. • Driving factors consist of population, floor space, energy mix and appliances. • Floor space per capita effect becomes increasingly important over time. • Electricity use from appliances will continue to rise despite a saturation. - Abstract: Residential energy consumption in China increased dramatically over the period of 2002–2010. In this paper, we undertake a decomposition analysis of changes in energy use by Chinese households for five energy-using activities: space heating/cooling, cooking, lighting and electric appliances. We investigate to what extent changes in energy use are due to changes from appliances and to change in floor space, population and energy mix. Our decomposition analysis is based on the logarithmic mean Divisia index technique using data from the China statistical yearbook and China energy statistical yearbook in the period of 2002–2010. According to our results, the increase in energy-using appliances is the biggest contributor to the increase of residential energy consumption during 2002–2010 but the effect declines over time, due to energy efficiency improvements in those appliances. The second most important contributor is floor space per capita, which increased with 28%. Of the four factors, population is the most stable factor and energy mix is the least important factor. We predicted electricity use, with the help of regression-based predictions for ownership of appliances and the energy efficiency of appliances. We found that electricity use will continue to rise despite a gradual saturation of demand

  2. Statistical evaluation of Pacific Northwest Residential Energy Consumption Survey weather data

    Energy Technology Data Exchange (ETDEWEB)

    Tawil, J.J.

    1986-02-01

    This report addresses an issue relating to energy consumption and conservation in the residential sector. BPA has obtained two meteorological data bases for use with its 1983 Pacific Northwest Residential Energy Survey (PNWRES). One data base consists of temperature data from weather stations; these have been aggregated to form a second data base that covers the National Oceanographic and Atmospheric Administration (NOAA) climatic divisions. At BPA's request, Pacific Northwest Laboratory has produced a household energy use model for both electricity and natural gas in order to determine whether the statistically estimated parameters of the model significantly differ when the two different meteorological data bases are used.

  3. The effects of utility cost reduction on residential energy consumption in Hungary – a decomposition analysis

    Directory of Open Access Journals (Sweden)

    Tekla Sebestyén Szép

    2017-01-01

    Full Text Available The residential energy consumption is influenced by a lot of factors. Understanding and calculating these factors is essential to making conscious energy policy decisions and feedbacks. Since 2013 the energy prices for households have been controlled by the government in Hungary and as a result of the utility cost reduction program a sharp decline can be observed in residential electricity, district heating and natural gas prices. This paper applies the LMDI (~Logarithmic Mean Division Index method to decompose the absolute change of the residential energy consumption during the period of 2010-2015. We calculate the price, the intensive structure (it means the change of energy expenditure share on energy sources, the extensive structure (it is in connection with the change of energy expenditure share in total expenditure, expenditure (it is the change of per capita total expenditure and population effect. All of that shows the impact of the specific factor on the residential energy consumption by income deciles. Our results have verified the preliminary expectations: the decreasing energy prices for households have a positive impact on energy use and it has been strengthened by the expenditure effect as well. However, the intensive structure, the extensive structure and the population effect have largely offset it.

  4. The effect of economic factors and energy efficiency programs on residential electricity consumption

    Science.gov (United States)

    Sakai, Mihoko

    Many countries have implemented policies to correct market and behavioral failures that lead to inefficient energy use. It is important to know what factors and policies can effectively overcome such failures and improve energy efficiency; however, a comprehensive analysis has been difficult because of data limitations. Using state scores compiled by American organizations recently, and adopting fixed-effects regression models, I analyze the joint impacts of relevant factors and policy programs on residential electricity consumption in each U.S. state. The empirical results reveal that increases in electricity price have small and negative effects, and increases in personal income have positive effects on residential electricity sales per capita (a measure of energy efficiency). The results suggest that it may take time for economic factors to affect electricity sales. The effects of personal income suggest the difficulty of controlling residential electricity consumption; however, they also imply that there is some room in households to reduce electricity use. The study also finds that programs and budgets of several policies seem to be associated with electricity sales. The estimates from a model including interaction terms suggest the importance of including multiple policies when analyzing and designing policies to address electricity efficiency. The results also imply the possibility of rebound effects of some policies, whereby improvements in energy efficiency lead to increases in energy consumption due to the associated lower per unit cost. Future studies should analyze both short-term and long-term effects of economic factors and policies, based on improved and accumulated time series and panel data, in order to design more effective policies for improving residential electricity efficiency.

  5. Sample design for the residential energy consumption survey

    Energy Technology Data Exchange (ETDEWEB)

    1994-08-01

    The purpose of this report is to provide detailed information about the multistage area-probability sample design used for the Residential Energy Consumption Survey (RECS). It is intended as a technical report, for use by statisticians, to better understand the theory and procedures followed in the creation of the RECS sample frame. For a more cursory overview of the RECS sample design, refer to the appendix entitled ``How the Survey was Conducted,`` which is included in the statistical reports produced for each RECS survey year.

  6. Building and occupant characteristics as determinants of residential energy consumption

    Energy Technology Data Exchange (ETDEWEB)

    Nieves, L.A.; Nieves, A.L.

    1981-10-01

    The major goals of the research are to gain insight into the probable effects of building energy performance standards on energy consumption; to obtain observations of actual residential energy consumption that could affirm or disaffirm comsumption estimates of the DOE 2.0A simulation model; and to investigate home owner's conservation investments and home purchase decisions. The first chapter covers the investigation of determinants of household energy consumption. The presentation begins with the underlying economic theory and its implications, and continues with a description of the data collection procedures, the formulation of variables, and then of data analysis and findings. In the second chapter the assumptions and limitations of the energy use projections generated by the DOE 2.0A model are discussed. Actual electricity data for the houses are then compared with results of the simulation. The third chapter contains information regarding households' willingness to make energy conserving investments and their ranking of various conservation features. In the final chapter conclusions and recommendations are presented with an emphasis on the policy implications of this study. (MCW)

  7. Modeling Residential Electricity Consumption Function in Malaysia: Time Series Approach

    OpenAIRE

    L. L. Ivy-Yap; H. A. Bekhet

    2014-01-01

    As the Malaysian residential electricity consumption continued to increase rapidly, effective energy policies, which address factors affecting residential electricity consumption, is urgently needed. This study attempts to investigate the relationship between residential electricity consumption (EC), real disposable income (Y), price of electricity (Pe) and population (Po) in Malaysia for 1978-2011 period. Unlike previous studies on Malaysia, the current study focuses on the residential secto...

  8. Energy engenderment: An industrialized perspective assessing the importance of engaging women in residential energy consumption management

    International Nuclear Information System (INIS)

    Elnakat, Afamia; Gomez, Juan D.

    2015-01-01

    This study assesses gender role and participation in energy utilization at the residential household level in an advanced industrial country setting. Two hundred and twenty one (221) standardized surveys of single-family residential households in San Antonio, Texas – the seventh largest city in the United States of America – are collected and used as a test case. The objective is to highlight the role of women in improving household energy efficiency. By coupling the behavioral and analytical sciences, studies such as this one provide better insight for the effective deployment of targeted energy efficiency programs that can benefit both households and municipalities while reducing impact on environmental resources. Study conclusions highlight 80% higher per capita consumption in female dominant households versus male dominant households (p=0.000) driven by approximately double the gas consumption in female-headed households (p=0.002), and 54% more electric usage (p=0.004). The higher use in female dominant homes is examined through the socio-demographic impacts of education, income, vintage of home occupied and size of home occupied. The theoretical framework and test case presented in this study promote the need for market segmented energy efficiency initiatives that better engage women in energy demand-side management in industrialized populated cities. -- Highlights: •Role of women in energy consumption is understudied in industrial settings. •There is a significant impact from women on energy consumption in test case. •Higher per capita, per square foot, and gas consumption are indicated for women. •Women’s intrinsic role at household level can allow for better energy efficiency

  9. Renewable energy rebound effect?: Estimating the impact of state renewable energy financial incentives on residential electricity consumption

    Science.gov (United States)

    Stephenson, Beth A.

    Climate change is a well-documented phenomenon. If left unchecked greenhouse gas emissions will continue global surface warming, likely leading to severe and irreversible impacts. Generating renewable energy has become an increasingly salient topic in energy policy as it may mitigate the impact of climate change. State renewable energy financial incentives have been in place since the mid-1970s in some states and over 40 states have adopted one or more incentives at some point since then. Using multivariate linear and fixed effects regression for the years 2002 through 2012, I estimate the relationship between state renewable energy financial incentives and residential electricity consumption, along with the associated policy implications. My hypothesis is that a renewable energy rebound effect is present; therefore, states with renewable energy financial incentives have a higher rate of residential electricity consumption. I find a renewable energy rebound effect is present in varying degrees for each model, but the results do not definitively indicate how particular incentives influence consumer behavior. States should use caution when adopting and keeping renewable energy financial incentives as this may increase consumption in the short-term. The long-term impact is unclear, making it worthwhile for policymakers to continue studying the potential for renewable energy financial incentives to alter consumer behavior.

  10. Modelling long term energy consumption of French residential sector - improving behavioral realism and simulating ambitious scenarios

    International Nuclear Information System (INIS)

    Allibe, Benoit

    2012-01-01

    This thesis aims to integrate components of an economic model of the behaviors of households in a technological model of French residential sector energy consumption dynamics and to analyze the consequences of this integration on the results of long-term residential energy consumption simulations (2030-2050). The results of this work highlight significant differences between the actual household space heating energy consumptions and those estimated by engineering models. These differences are largely due to the elasticity of thermal comfort demand to thermal comfort price. Our improved model makes it possible to conjointly integrate the concepts of price elasticity and rebound effect (the increase in energy service level following an improvement in energy performance of the equipment providing the service) in a daily behavior model. Regarding space heating consumption, the consequences of this behavioral adaptation - combined with some technical defects - are a significant reduction of the technical and behavioral energy saving potentials (while effective daily use of energy is generally lower than predicted by engineering models) at a national level. This implies that mid and long-term national energy policy targets (a 38% drop in primary energy consumption by 2020 and a reduction in greenhouse gas emissions by a factor of 4 by 2050 compared to the 1990 level) will be harder to reach than previously expected for the residential sector. These results also imply that a strong reduction in carbon emissions cannot be achieved solely through the diffusion of efficient technologies and energy conservation behavior but also requires to significantly lower the average carbon content of residential space heating energy through the generalized use of wood energy. The second issue addressed in this thesis is the influence of the resolution of a techno-economic model (i.e. its ability to represent the various values that a variable can have within the modeled system) on its

  11. Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects

    International Nuclear Information System (INIS)

    Yu Biying; Junyi Zhang; Fujiwara, Akimasa

    2012-01-01

    It is expected that the residential location choice and household energy consumption behavior might correlate with each other. Besides, due to the existence of self-selection effects, the observed inter-relationship between them might be the spurious result of the fact that some unobserved variables are causing both. These concerns motivate us to (1) consider residential location choice and household energy consumption behavior (for both in-home appliances and out-of-home cars) simultaneously and, (2) explicitly control self-selection effects so as to capture a relatively true effect of land-use policy on household energy consumption behavior. An integrated model termed as joint mixed Multinomial Logit-Multiple Discrete-Continuous Extreme Value model is presented here to identify the sensitivity of household energy consumption to land use policy by considering multiple self-selection effects. The model results indicate that land-use policy do play a great role in changing Beijing residents’ energy consumption pattern, while the self-selection effects cannot be ignored when evaluating the effect of land-use policy. Based on the policy scenario design, it is found that increasing recreational facilities and bus lines in the neighborhood can greatly promote household's energy-saving behavior. Additionally, the importance of “soft policy” and package policy is also emphasized in the context of Beijing. - Highlights: ► Representing residential choice and household energy consumption behavior jointly. ► Land use policy is found effective to control the household energy use in Beijing. ► Multiple self-selection effects are posed to get the true effect of land use policy. ► Significant self-selection effects call an attention to the soft policy in Beijing. ► The necessity of package policy on saving Beijing residents’ energy use is confirmed.

  12. Energy efficient residential house wall system

    International Nuclear Information System (INIS)

    Aldawi, Fayez; Date, Abhijit; Alam, Firoz; Khan, Iftekhar; Alghamdi, Mohammed

    2013-01-01

    The energy consumption and greenhouse gas emission by the residential housing sector are considered to be one of the largest in economically developed countries. The larger energy consumption and greenhouse gas emission not only put additional pressure on finite fossil fuel resources but also cause global warming and climate change. Additionally, the residential housing sector will be consuming more energy as the house demand and average house floor area are progressively increasing. With currently used residential house wall systems, it is hard to reduce energy consumption for ongoing house space heating and cooling. A smart house wall envelope with optimal thermal masses and insulation materials is vital for reducing our increasing energy consumption. The major aim of this study is to investigate thermal performance and energy saving potential of a new house wall system for variable climate conditions. The thermal performance modelling was carried out using commercially developed software AccuRate ® . The findings indicate that a notable energy savings can be accomplished if a smart house wall system is used. -- Highlights: • Smart house wall system. • Thermal performance modelling and star energy rating. • Energy savings and greenhouse gas reduction

  13. Residential energy demand in Brazil

    International Nuclear Information System (INIS)

    Arouca, M.; Gomes, F.M.; Rosa, L.P.

    1981-01-01

    The energy demand in Brazilian residential sector is studied, discussing the methodology for analyzing this demand from some ideas suggested, for developing an adequate method to brazilian characteristics. The residential energy consumption of several fuels in Brazil is also presented, including a comparative evaluation with the United States and France. (author)

  14. Lifestyle factors in U.S. residential electricity consumption

    International Nuclear Information System (INIS)

    Sanquist, Thomas F.; Orr, Heather; Shui Bin; Bittner, Alvah C.

    2012-01-01

    A multivariate statistical approach to lifestyle analysis of residential electricity consumption is described and illustrated. Factor analysis of selected variables from the 2005 U.S. Residential Energy Consumption Survey (RECS) identified five lifestyle factors reflecting social and behavioral patterns associated with air conditioning, laundry usage, personal computer usage, climate zone of residence, and TV use. These factors were also estimated for 2001 RECS data. Multiple regression analysis using the lifestyle factors yields solutions accounting for approximately 40% of the variance in electricity consumption for both years. By adding the household and market characteristics of income, local electricity price and access to natural gas, variance accounted for is increased to approximately 54%. Income contributed ∼1% unique variance to the models, indicating that lifestyle factors reflecting social and behavioral patterns better account for consumption differences than income. Geographic segmentation of factor scores shows distinct clusters of consumption and lifestyle factors, particularly in suburban locations. The implications for tailored policy and planning interventions are discussed in relation to lifestyle issues. - Highlights: ► Illustrates lifestyle analysis of residential electricity consumption. ► Lifestyle factors based on social and behavioral decisions and equipment use. ► Regression models using lifestyle factors account for 40% of consumption variance. ► Lifestyle factors are stable over time when applied to other data sets. ► Energy reduction opportunities are identified by segmentation analysis.

  15. Residential energy consumption across different population groups: Comparative analysis for Latino and non-Latino households in U.S.A.

    Energy Technology Data Exchange (ETDEWEB)

    Poyer, D.A.; Teotia, A.P.S. [Argonne National Lab., IL (United States); Henderson, L. [Univ. of Baltimore, MD (United States)

    1998-05-01

    Residential energy cost, an important part of the household budget, varies significantly across different population groups. In the United States, researchers have conducted many studies of household fuel consumption by fuel type -- electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG) -- and by geographic areas. The results of past research have also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, research shows that residential energy demand by fuel type for Latinos, the fastest-growing population group in the United States, has not been explained by economic and noneconomic factors in any available statistical model. This paper presents a discussion of energy demand and expenditure patterns for Latino and non-Latino households in the United States. The statistical model developed to explain fuel consumption and expenditures for Latino households is based on Stone and Geary`s linear expenditure system model. For comparison, the authors also developed models for energy consumption in non-Latino, black, and nonblack households. These models estimate consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. The study revealed significant variations in the patterns of fuel consumption for Latinos and non-Latinos. The model methodology and results of this research should be useful to energy policymakers in government and industry, researchers, and academicians who are concerned with economic and energy issues related to various population groups.

  16. Energy efficiency of residential buildings. Energy consumption and investment costs of different building energy standards; Energieeffizienz von Wohngebaeuden. Energieverbraeuche und Investitionskosten energetischer Gebaeudestandards

    Energy Technology Data Exchange (ETDEWEB)

    Beecken, Christoph; Schulze, Stephan [Bow Ingenieure GmbH, Braunschweig (Germany)

    2011-12-15

    In view of the impending energy transition in Germany, turning away from fossil fuels and atomic power and leading to renewable energy sources, the construction of very energy efficient new buildings gains more and more in importance. Because the saving of energy with efficient buildings offers the highest potential to achieve the energy transition without loss of comfort and also complying with the climate protection target of limitation of the carbon dioxide emission. For new buildings in the initial project planning phase, the client needs qualified consulting concerning a reasonable energy standard for his building. The consulting should comprise the multitude of energy efficiency standards and the related financial incentives and not only cover the minimum standard of the German Building Energy Conservation Regulation EnEV (Energieeinsparverordnung). But the architect can hardly quantify the potentials to reduce energy consumption of buildings considering the multitude of existing standards with multifarious effects on energy consumption, technical requirements and building costs. With the help of an example multi-storey residential building in Hannover, current energy standards for residential buildings are compared. Besides the building construction also the building services like heating, hot water generation and ventilation are considered and the most important results concerning energy consumption and investment costs are compared.

  17. Energy literacy, awareness, and conservation behavior of residential households

    International Nuclear Information System (INIS)

    Brounen, Dirk; Kok, Nils; Quigley, John M.

    2013-01-01

    The residential sector accounts for one-fifth of global energy consumption, resulting from the requirements to heat, cool, and light residential dwellings. It is therefore not surprising that energy efficiency in the residential market has gained importance in recent years. In this paper, we examine awareness, literacy and behavior of households with respect to their residential energy expenditures. Using a detailed survey of 1721 Dutch households, we measure the extent to which consumers are aware of their energy consumption and whether they have taken measures to reduce their energy costs. Our results show that “energy literacy” and awareness among respondents is low: just 56% of the respondents are aware of their monthly charges for energy consumption, and 40% do not appropriately evaluate investment decisions in energy efficient equipment. We document that demographics and consumer attitudes towards energy conservation, but not energy literacy and awareness, have direct effects on behavior regarding heating and cooling of the home. The impact of a moderating factor, measured by thermostat settings, ultimately results in strong variation in the energy consumption of private consumers. - Highlights: • We use a detailed survey of 1,721 Dutch households to measure awareness and conservation behavior in energy consumption. • Energy literacy and awareness among residential households is low. • 40 percent of the sample does not appropriately evaluate investment decisions in energy efficient equipment • Demographics and consumer attitudes affect behavior regarding heating and cooling of a home

  18. Household energy consumption and expenditures 1993

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-10-05

    This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

  19. Determining residential energy consumption-based CO2 emissions and examining the factors affecting the variation in Ankara, Turkey

    Science.gov (United States)

    Kus, Melike; Akan, Perihan; Aydinalp Koksal, Merih; Gullu, Gulen

    2017-11-01

    Energy demand of Turkey has been showing a remarkable increase in the last two decades due to rapid increase in population and changes in consumption trends. In parallel to the increase in energy demand, the CO2 emissions in Turkey are also increasing dramatically due to high usage of fossil fuels. CO2 emissions from the residential sector covers almost one fourth of the total sectoral emissions. In this study, CO2 emissions from the residential sector are estimated, and the factors affecting the emission levels are determined for the residential sector in Ankara, Turkey. In this study, detailed surveys are conducted to more than 400 households in Ankara. Using the information gathered from the surveys, the CO2 emissions associated with energy consumption of the households are calculated using the methodology outlined at IPCC. The statistical analyses are carried out using household income, dwelling characteristics, and household economic and demographic data to determine the factors causing the variation in emission levels among the households. The results of the study present that the main factors impacting the amount of total energy consumption and associated CO2 emissions are household income, dwelling construction year, age, education level of the household, and net footage of the dwelling.

  20. Survey of the actual energy consumption in the commercial/residential sector; Minsei bumon energy shohi jittai chosa

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    A questionnaire survey was conducted of the actual energy consumption in the business sector (schools, hotels/inns, hospitals, and other service business) in fiscal 1996, and was put together with the survey conducted in the past in order to clarify the structure and trend of energy consumption in the commercial/residential sector. The survey was aimed at making basic data for the development/introduction of the petroleum substituting energy including future new energy. The consumption unit requirement of a school total was 84.9 Mcal/m{sup 2} per year, that of a hotel/inn total was 455.3 Mcal/m{sup 2} per year, and that of a hospital total was 400.2 Mcal/m{sup 2} per year. The energy consumption for business use was summarized. The consumption unit requirement of restaurants was the largest, 622.8 Mcal/m{sup 2} per year, and that of schools was the smallest. In office building business and wholesale/retailing business, electricity is largely used mostly for illumination, power, etc. In restaurants, gas is largely used mostly for its own use including cooking. In schools, energy use for space heating was the largest, but was almost the same as that in office buildings in terms of the amount. 179 figs., 31 tabs.

  1. Influence of residential habits on energy consumption in multi-story housing

    Energy Technology Data Exchange (ETDEWEB)

    Jensen, O

    1984-01-01

    The report describes the results of an investigation of residential habits and their influence on energy consumption - particularly the cosumption of heating and hot water - in multi-story housing. There seems to be a considerable need for an information effort in this field, but not even very precise information for practical use is enough to make the residents change their consumption habits to any substantial extent. This can only be achieved through activating a conscious attitude among the residents. In reaching these aims, the housing estate, its administration and residents should play a large and active role. This is partly due to the fact that the preparation and settling of accounts are carried out with the participation of the residents themselves. Furthermore, the local estate is a natural frame for the residents daily life and social situation, as compared to national campaigns for energy-saving. Therefore, within the housing estate there are better possibilities - through discussions among the residents and through social interaction - of increasing the motivation of the individual resident for saving energy.

  2. Simulation study on reduction of peak power demand and energy consumption in residential houses with solar thermal and PV systems; Taiyo energy riyo jutaku no fuka heijunka oyobi energy sakugen koka no simulation ni yoru kento

    Energy Technology Data Exchange (ETDEWEB)

    Endo, T. [Yokohama City Office, Yokohama (Japan); Udagawa, M. [Kogakuin Univ., Tokyo (Japan). Faculty of Engineering

    1995-11-20

    In this study, taking the all factors involved in the energy consumption in residential houses as subjects, the effectiveness of the solar PV system and solar thermal utilizing system in residential houses has been studied by simulating a model residential house considering the improvement of the residual environment in the future. Therefore, a model residual house is assumed, 18 kinds of combinations of construction style, cooling and heating type and solar energy utilizing form are assumed and year round simulation is carried out. The conclusions obtained by the simulation are as follows. The energy consumption in residential houses may decrease greatly by using a solar hot water supplying system. If combined with a solar PV system, the energy consumption in one year is about 8.7 to 9.7 MWh. The combined use of a solar thermal utilizing system and a PV system is more effective to reduce the second-time energy in comparison with the PV system only. 36% of the space heating energy consumption may be decreased by using the solar space heating system, but the decrease effect of the energy consumption of the solar space heating system is smaller than the solar hot water supplying system. 12 refs., 26 figs., 3 tabs.

  3. The importance of engaging residential energy customers' hearts and minds

    International Nuclear Information System (INIS)

    Olaniyan, Monisola J.; Evans, Joanne

    2014-01-01

    In an attempt to reduce the contribution of residential greenhouse gas emissions the EU has implemented a variety of policy measures. The focus has been to promote domestic energy efficiency and ultimately a reduction in residential energy demand. In this study we estimate residential energy demand using Underlying Energy Demand Trend (UEDT) and Asymmetric Price Responses for 14 European OECD countries between 1978 and 2008. Our results support the conclusion that policies to reduce residential energy consumption and the consequent emissions need to account for behavioural, lifestyle and cultural factors in order to be effective. - Highlights: • Residential energy demand is estimated for 14 European OECD countries between 1978 and 2008. • Investigate the relative contributions of Underlying Energy Demand Trend (UEDT) which captures exogenous technical progress. • The most effective policies target behavioural, lifestyle and cultural factors to reduce residential energy consumption

  4. Impact of daylight saving time on the Chilean residential consumption

    International Nuclear Information System (INIS)

    Verdejo, Humberto; Becker, Cristhian; Echiburu, Diego; Escudero, William; Fucks, Emiliano

    2016-01-01

    Since 1970 Chile has had a Daylight Saving Time (DST) policy in order to reduce residential electricity consumption in the country. The time change was set for the first time by executive decree in 1970, and since that date it was applied every year without great changes until 2010. Since then, and to date, decrees have been set in order to increase the duration of the DST, arguing that there are reasons associated with energy savings that justify the extension of the measure that has been adopted by the authority in recent years. In the present study the impact of the application of DST in terms of decreased household electricity consumption is analyzed using two complementary methods, one based on a heuristic approach and the other using an econometric model. The results indicate that there is indeed a marginally small reduction in residential electricity consumption, although these results are not homogeneous throughout the country. - Highlights: • The impact of the application of DST is analyzed in Chilean distribution networks. • The results indicate that there is indeed a marginally small reduction in residential electricity consumption. • A total energy reduction is estimated based on the proposed methodology.

  5. Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector

    International Nuclear Information System (INIS)

    Kelly, Scott

    2011-01-01

    Energy consumption from the residential sector is a complex socio-technical problem that can be explained using a combination of physical, demographic and behavioural characteristics of a dwelling and its occupants. A structural equation model (SEM) is introduced to calculate the magnitude and significance of explanatory variables on residential energy consumption. The benefit of this approach is that it explains the complex relationships that exist between manifest variables and their overall effect though direct, indirect and total effects. Using the English House Condition Survey (EHCS) consisting of 2531 unique cases, the main drivers behind residential energy consumption are found to be the number of household occupants, floor area, household income, dwelling efficiency (SAP), household heating patterns and living room temperature. In the multivariate case, SAP explains very little of the variance of residential energy consumption. However, this procedure fails to account for simultaneity bias between energy consumption and SAP. Using SEM its shown that dwelling energy efficiency (SAP), has reciprocal causality with dwelling energy consumption and the magnitude of these two effects are calculable. When non-recursivity between SAP and energy consumption is allowed for, SAP is shown to have a negative effect on energy consumption but conversely, homes with a propensity to consume more energy also have higher SAP rates. -- Highlights: → A Structural Equation Model (SEM) is developed to explain residential energy demand. → Key variables that drive residential energy consumption are empirically identified. → Direct, indirect and total effects are determined. → It is found that occupancy and household income are strongly mediated by floor area. → A non-recursive relationship is found to exist between energy consumption and SAP.

  6. Household pathway selection of energy consumption during urbanization process in China

    International Nuclear Information System (INIS)

    Sun, Chuanwang; Ouyang, Xiaoling; Cai, Hongbo; Luo, Zhichao; Li, Aijun

    2014-01-01

    Highlights: • Energy consumption patterns have long-term impacts on energy demand. • We explore determinants and structure of household energy consumption. • Tobit and OLS models are adopted to explore factors influencing energy expenditure. • Residential energy consumption in 2030 is evaluated using scenario analysis. - Abstract: China’s growing energy demand is driven by urbanization. Facing the problem of energy scarcity, residential energy consumption is a crucial area of energy conservation and emissions reduction. Household energy consumption patterns, which are characterized by effects of “path lock-in”, have long-term impacts on China’s energy demand. Based on the survey data, this paper explores factors that influence household energy consumption and analyzes the structure of residential energy consumption in China. Based on the results of analysis of variance (ANOVA), this paper applies the Tobit and Ordinary Least Squares (OLS) models to investigate impacts of variables of “the tiered pricing for household electricity (TPHE)”, “solar energy usage”, “automobile ownership”, “rural or urban areas”, “household income” and “city scale” on the residential energy expenditure. In addition, household energy consumption is estimated under different scenarios including improving the utilization of solar energy, rise in energy prices and the increase in automobile ownership. Residential energy consumption in 2030 is evaluated by simulating different models for urban development. Policy recommendations are suggested for China’s urban development strategy, new energy development and household pathway selection of energy consumption

  7. Integrated Management of Residential Energy Resources

    Directory of Open Access Journals (Sweden)

    Antunes C. H.

    2012-10-01

    Full Text Available The increasing deployment of distributed generation systems based on renewables in the residential sector, the development of information and communication technologies and the expected evolution of traditional power systems towards smart grids are inducing changes in the passive role of end-users, namely with stimuli to change residential demand patterns. The residential user should be able to make decisions and efficiently manage his energy resources by taking advantages from his flexibility in load usage with the aim to minimize the electricity bill without depreciating the quality of energy services provided. The aim of this paper is characterizing electricity consumption in the residential sector and categorizing the different loads according to their typical usage, working cycles, technical constraints and possible degree of control. This categorization of end-use loads contributes to ascertain the availability of controllable loads to be managed as well as the different direct management actions that can be implemented. The ability to implement different management actions over diverse end-use load will increase the responsiveness of demand and potentially raises the willingness of end-users to accept such activities. The impacts on the aggregated national demand of large-scale dissemination of management systems that would help the end-user to make decisions regarding electricity consumption are predicted using a simulator that generates the aggregated residential sector electricity consumption under variable prices.

  8. Determinant factors of residential consumption and perception of energy conservation: Time-series analysis by large-scale questionnaire in Suita, Japan

    International Nuclear Information System (INIS)

    Hara, Keishiro; Uwasu, Michinori; Kishita, Yusuke; Takeda, Hiroyuki

    2015-01-01

    In this study, we examined determinant factors associated with the residential consumption and perception of savings of electricity and city gas; this was based on data collected from a large-scale questionnaire sent to households in Suita, Osaka Prefecture, Japan, in two different years: 2009 and 2013. We applied an ordered logit model to determine the overall trend of the determinant factors, and then we performed a more detailed analysis in order to understand the reasons why the determinant factors changed between the two periods. Results from the ordered logit model reveal that electricity and gas consumption was primarily determined by such factors as household income, number of family members, the number of home appliances, and the perceptions of energy savings; there was not much difference between the two years, although in 2013, household income did not affect the perception of energy savings. Detailed analysis demonstrated that households with high energy consumption and those with moderate consumption are becoming polarized and that there was a growing gap between consumption behavior and the perception of conservation. The implications derived from the analyses provide an essential insight into the design of a municipal policy to induce lifestyle changes for an energy-saving society. - Highlights: • Questionnaire was conducted to households in two years for time-series analysis. • We analyzed residential energy consumption and perception of savings in households. • Determinant factors for consumption and perception of savings were identified. • Households being wasteful of energy are also found willing to cut consumption. • Policy intervention could affect consumption pattern and perception of savings.

  9. Prediction of greenhouse gas reduction potential in Japanese residential sector by residential energy end-use model

    International Nuclear Information System (INIS)

    Shimoda, Yoshiyuki; Yamaguchi, Yukio; Okamura, Tomo; Taniguchi, Ayako; Yamaguchi, Yohei

    2010-01-01

    A model is developed that simulates nationwide energy consumption of the residential sector by considering the diversity of household and building types. Since this model can simulate the energy consumption for each household and building category by dynamic energy use based on the schedule of the occupants' activities and a heating and cooling load calculation model, various kinds of energy-saving policies can be evaluated with considerable accuracy. In addition, the average energy efficiency of major electric appliances used in the residential sector and the percentages of housing insulation levels of existing houses is predicted by the 'stock transition model.' In this paper, energy consumption and CO 2 emissions in the Japanese residential sector until 2025 are predicted. For example, as a business - as-usual (BAU) case, CO 2 emissions will be reduced by 7% from the 1990 level. Also evaluated are mitigation measures such as the energy efficiency standard for home electric appliances, thermal insulation code, reduction of standby power, high-efficiency water heaters, energy-efficient behavior of occupants, and dissemination of photovoltaic panels.

  10. A statistical analysis of the energy policy act of 2005, its changes to the daylight saving program, and impact on residential energy consumption

    Science.gov (United States)

    Murray, Patrick L.

    Government programs designed to decrease resource consumption, improve productivity and capitalize on extended daylight hours in the summer have been developed and implemented throughout the world for nearly three hundred years. In 2005, The United States government adopted an extended daylight savings program that increases the number of weeks where the country observes Daylight Saving Time (DST) from 31 to 35 weeks. The program took effect in March 2007. Arguments in support of DST programs highlight the portion of electricity consumption attributed to residential lighting in the evening hours. Adjusting clocks forward by one hour in summer months is believed to reduce electricity consumption due to lighting and therefore significantly reduce residential energy consumption during the period of DST. This paper evaluates the efficacy of the changes to DST resulting from the Energy Policy Act of 2005. The study focuses on changes to household electricity consumption during the extended four weeks of DST. Arizona, one of two states that continue to opt out of DST serves as the study's control for a comparison with neighboring states, Colorado, Nebraska, Nevada, New Mexico, Oklahoma, Texas and Utah. Results from the regression analysis of a Difference in Difference model indicate that contrary to evaluations by Congress and the Department of Energy, the four week period of Extended Daylight Saving Time does not produce a significant decrease in per capita electricity consumption in Southwestern states.

  11. Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy

    International Nuclear Information System (INIS)

    Jain, Rishee K.; Smith, Kevin M.; Culligan, Patricia J.; Taylor, John E.

    2014-01-01

    Highlights: • We develop a building energy forecasting model using support vector regression. • Model is applied to data from a multi-family residential building in New York City. • We extend sensor based energy forecasting to multi-family residential buildings. • We examine the impact temporal and spatial granularity has on model accuracy. • Optimal granularity occurs at the by floor in hourly temporal intervals. - Abstract: Buildings are the dominant source of energy consumption and environmental emissions in urban areas. Therefore, the ability to forecast and characterize building energy consumption is vital to implementing urban energy management and efficiency initiatives required to curb emissions. Advances in smart metering technology have enabled researchers to develop “sensor based” approaches to forecast building energy consumption that necessitate less input data than traditional methods. Sensor-based forecasting utilizes machine learning techniques to infer the complex relationships between consumption and influencing variables (e.g., weather, time of day, previous consumption). While sensor-based forecasting has been studied extensively for commercial buildings, there is a paucity of research applying this data-driven approach to the multi-family residential sector. In this paper, we build a sensor-based forecasting model using Support Vector Regression (SVR), a commonly used machine learning technique, and apply it to an empirical data-set from a multi-family residential building in New York City. We expand our study to examine the impact of temporal (i.e., daily, hourly, 10 min intervals) and spatial (i.e., whole building, by floor, by unit) granularity have on the predictive power of our single-step model. Results indicate that sensor based forecasting models can be extended to multi-family residential buildings and that the optimal monitoring granularity occurs at the by floor level in hourly intervals. In addition to implications for

  12. Energy consumption of audiovisual devices in the residential sector: Economic impact of harmonic losses

    International Nuclear Information System (INIS)

    Santiago, I.; López-Rodríguez, M.A.; Gil-de-Castro, A.; Moreno-Munoz, A.; Luna-Rodríguez, J.J.

    2013-01-01

    In this work, energy losses and the economic consequences of the use of small appliances containing power electronics (PE) in the Spanish residential sector were estimated. Audiovisual devices emit harmonics, originating in the distribution system an increment in wiring losses and a greater demand in the total apparent power. Time Use Surveys (2009–10) conducted by the National Statistical Institute in Spain were used to obtain information about the activities occurring in Spanish homes regarding the use of audiovisual equipment. Moreover, measurements of different types of household appliances available in the PANDA database were also utilized, and the active and non-active annual power demand of these residential-sector devices were determined. Although a single audiovisual device has an almost negligible contribution, the aggregated actions of this type of appliances, whose total annual energy demand is greater than 4000 GWh, can be significant enough to be taken into account in any energy efficiency program. It was proven that a reduction in the total harmonic distortion in the distribution systems ranging from 50% to 5% can reduce energy losses significantly, with economic savings of around several million Euros. - Highlights: • Time Use Survey provides information about Spanish household electricity consumption. • The annual aggregated energy demand of audiovisual appliances is very significant. • TV use accounts for more than 80% of household audiovisual electricity consumption. • A reduction from 50% to 5% in the total harmonic distortion would have economic savings of around several million Euros. • Stricter regulations regarding harmonic emissions must be demanded

  13. Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates

    Energy Technology Data Exchange (ETDEWEB)

    Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

    2012-12-01

    The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

  14. Energy consumption, energy efficiency, and consumer perceptions: A case study for the Southeast United States

    International Nuclear Information System (INIS)

    Craig, Christopher A.

    2016-01-01

    Highlights: • Interaction between climate, efficiency, and electricity consumption were examined. • 2450 state residents were surveyed about clean energy and subsidy policies. • Indirect energy efficiency costs negatively influenced electricity consumption. • Cooling degree days were positively related to electricity consumption. • Resident awareness influenced policy perceptions about clean energy and subsidies. - Abstract: This study examined the interaction between climatic variability and residential electricity consumption in a Southeast US state. Residential electricity consumers were surveyed to better understand how to diffuse positive attitudes and behaviors related to energy efficiency (EE) into households. The study found that 16.8% of the variability in residential electricity consumption for heating applications was explained by indirect EE costs. 36.6% of the variability in residential electricity consumption for cooling applications was explained by indirect EE costs and cooling degree days (CDD). A survey of 2450 residential electricity consumers was analyzed using the theory of planned behavior (TPB). Significant findings suggest that those residents are aware of utility EE programs are more likely to participate, view utility company motives more favorably, to support governmental subsidies for EE programs, and to support the use of clean energy by utility companies.

  15. Understanding change and continuity in residential energy consumption

    DEFF Research Database (Denmark)

    Gram-Hanssen, Kirsten

    2011-01-01

    of material consumer goods in practice theory. Case studies on household energy consumption are used as an empirical basis for these discussions. Looking at household energy consumption through the theoretical lens of practice theory necessitates discussion on whether energy consumption should be viewed......Practice theory has recently emerged within consumer studies as a promising approach that shifts focus from the individual consumer towards the collective aspects of consumption and from spectacular and conspicuous dimensions of consumption towards routine and mundane aspects of consumption...

  16. Residential Energy Use and Conservation. Economics, Demographics, and Standards

    Energy Technology Data Exchange (ETDEWEB)

    Brounen, D. [Department of Financial Management, Erasmus University Rotterdam, Rotterdam (Netherlands); Kok, N. [Limburg Institute of Financial Economics LIFE, Maastricht University, Maastricht (Netherlands); Quigley, J.M. [Department of Economics, University of California, Berkeley, CA (United States)

    2011-03-15

    Energy consumption in the residential sector offers an important opportunity for conserving resources. However, much of the current debate regarding energy efficiency in the housing market focuses on the physical and technical determinants of energy consumption, neglecting the role of the economic behavior of resident households. In this paper, we analyze the extent to which the use of gas and electricity is determined by the technical specifications of the dwelling as compared to the demographic characteristics of the occupying household, using a unique set of microeconomic data for a sample of more than 300,000 Dutch homes. The results show that residential gas consumption is determined principally by structural dwelling characteristics, such as the vintage, building type and quality of the home, while electricity consumption varies more directly with household composition, in particular income and family composition. Combining these results with projections on future economic and demographic trends, we find that, absent price increases for residential energy, the aging of the population and their increasing wealth will mostly offset improvements in the energy efficiency of the building stock resulting from policy interventions and natural revitalization.

  17. Residential/commercial market for energy technologies

    Energy Technology Data Exchange (ETDEWEB)

    Glesk, M M

    1979-08-01

    The residential/commercial market sector, particularly as it relates to energy technologies, is described. Buildings account for about 25% of the total energy consumed in the US. Market response to energy technologies is influenced by several considerations. Some considerations discussed are: industry characteristics; market sectors; energy-consumption characeristics; industry forecasts; and market influences. Market acceptance may be slow or nonexistent, the technology may have little impact on energy consumption, and redesign or modification may be necessary to overcome belatedly perceived market barriers. 7 figures, 20 tables.

  18. Household energy consumption and expenditures, 1990

    International Nuclear Information System (INIS)

    1993-01-01

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide

  19. Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010

    Directory of Open Access Journals (Sweden)

    Tharinya Supasa

    2017-12-01

    Full Text Available Since 1995, the residential sector has been a fast-growing energy consumption sector in Thailand. This sector contributes dramatically to the growth of Thailand’s electricity and oil demand. Our study analysed Thailand’s residential energy consumption characteristics and the seven underlying factors affecting the growth in energy use of five demographic regions using an energy input–output method. Embodied energy decomposition revealed that direct energy consumption accounted for approximately 30% of total residential energy use, whereas indirect energy consumption was at 70%. During the studied period, the growth in indirect energy use for all household groups was primarily the result of higher consumption of ‘commerce’, ‘air transport’, ‘manufacturing’, ‘food and beverages’ and ‘agriculture’ products. Moreover, each influencing driver contributes differently to each household’s growth in energy demand. The number of households was the leading factor that dominated the increases in residential energy use in the Greater Bangkok and Central regions. Growth in residential energy consumption in the Northern, Northeastern and Southern regions was strongly dominated by changes in income per capita. Consumption structure and using energy-efficient products had a moderate impact on all regions’ energy consumption. Thus, our findings provide additional energy-saving strategies to restrain further growth in residential energy demand.

  20. Feedback as a means of decreasing residential energy consumption. Report PU/CES 34

    Energy Technology Data Exchange (ETDEWEB)

    Seligman, C; Darley, J M

    1976-08-01

    When residential units are analyzed in human factor terms, it is apparent that the consumption level feedback (typically a bill, calculated once a month, over all appliances) is inadequate to give the resident useful information about his energy consuming actions. The present study tested the hypothesis that providing immediate feedback to homeowners concerning their daily rate of electric usage would be effective in reducing electric consumption. In the studied homes, central air-conditioning is the largest single source of electric power consumption during the summer. Accordingly, it was possible to predict the household's expected electric consumption in terms of the average daily outdoor temperature. Predicted electric consumption was derived from a previous month's modeling period during which a regression line was fitted to predict consumption from average daily temperature, for each home. Feedback was expressed as a percentage of actual consumption over predicted consumption. Feedback was displayed to homeowners four times a week for approximately one month. The results confirmed the prediction. Before feedback began, the feedback and control groups were consuming electricity at approximately equal rates. During the feedback period, the feedback group used 10.5 percent less electricity. The effectiveness of the feedback procedure was explained in terms of its cueing, motivational, and commitment functions.

  1. Forecasting HotWater Consumption in Residential Houses

    Directory of Open Access Journals (Sweden)

    Linas Gelažanskas

    2015-11-01

    Full Text Available An increased number of intermittent renewables poses a threat to the system balance. As a result, new tools and concepts, like advanced demand-side management and smart grid technologies, are required for the demand to meet supply. There is a need for higher consumer awareness and automatic response to a shortage or surplus of electricity. The distributed water heater can be considered as one of the most energy-intensive devices, where its energy demand is shiftable in time without influencing the comfort level. Tailored hot water usage predictions and advanced control techniques could enable these devices to supply ancillary energy balancing services. The paper analyses a set of hot water consumption data from residential dwellings. This work is an important foundation for the development of a demand-side management strategy based on hot water consumption forecasting at the level of individual residential houses. Various forecasting models, such as exponential smoothing, seasonal autoregressive integrated moving average, seasonal decomposition and a combination of them, are fitted to test different prediction techniques. These models outperform the chosen benchmark models (mean, naive and seasonal naive and show better performance measure values. The results suggest that seasonal decomposition of the time series plays the most significant part in the accuracy of forecasting.

  2. Technology change and energy consumption: A comparison of residential subdivisions

    Science.gov (United States)

    Nieves, L. A.; Nieves, A. L.

    The energy savings in residential buildings likely to result from implementation of the building energy performance standards (BEPS) were assessed. The goals were to: compare energy use in new homes designed to meet or exceed BEPS levels of energy efficiency with that in similar but older homes designed to meet conventional building codes, and to survey the home owners regarding their energy conservation attitudes and behaviors and to ascertain the degree to which conservation attitudes and behaviors are related to residential energy use. The consumer demand theory which provides the framework for the empirical analysis is presented. The sample residences are described and the data collection method discussed. The definition and measurement of major variables are presented.

  3. A hybrid society model for simulating residential electricity consumption

    International Nuclear Information System (INIS)

    Xu, Minjie; Hu, Zhaoguang; Wu, Junyong; Zhou, Yuhui

    2008-01-01

    In this paper, a hybrid social model of econometric model and social influence model is proposed for evaluating the influence of pricing policy and public education policy on residential habit of electricity using in power resources management. And, a hybrid society simulation platform based on the proposed model, called residential electricity consumption multi-agent systems (RECMAS), is designed for simulating residential electricity consumption by multi-agent system. RECMAS is composed of consumer agent, power supplier agent, and policy maker agent. It provides the policy makers with a useful tool to evaluate power price policies and public education campaigns in different scenarios. According to an influenced diffusion mechanism, RECMAS can simulate the residential electricity demand-supply chain and analyze impacts of the factors on residential electricity consumption. Finally, the proposed method is used to simulate urban residential electricity consumption in China. (author)

  4. A hybrid society model for simulating residential electricity consumption

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Minjie [School of Electrical Engineering, Beijing Jiaotong University, Beijing (China); State Power Economic Research Institute, Beijing (China); Hu, Zhaoguang [State Power Economic Research Institute, Beijing (China); Wu, Junyong; Zhou, Yuhui [School of Electrical Engineering, Beijing Jiaotong University, Beijing (China)

    2008-12-15

    In this paper, a hybrid social model of econometric model and social influence model is proposed for evaluating the influence of pricing policy and public education policy on residential habit of electricity using in power resources management. And, a hybrid society simulation platform based on the proposed model, called residential electricity consumption multi-agent systems (RECMAS), is designed for simulating residential electricity consumption by multi-agent system. RECMAS is composed of consumer agent, power supplier agent, and policy maker agent. It provides the policy makers with a useful tool to evaluate power price policies and public education campaigns in different scenarios. According to an influenced diffusion mechanism, RECMAS can simulate the residential electricity demand-supply chain and analyze impacts of the factors on residential electricity consumption. Finally, the proposed method is used to simulate urban residential electricity consumption in China. (author)

  5. Energy consumption and conservation, evaluation

    International Nuclear Information System (INIS)

    Acket, C.

    2006-04-01

    The energy consumption is increasing of more than 1% each year. It is necessary to slow down this growth and much better to inverse it. Observing the main consumption posts, energy saving is possible at short dated for the residential sector and medium and long dated for the transports and the industry. Anyway the individual behaviors are essential. The author presents the situation for each posts, providing data on the energy consumption and saving and recommendations. (A.L.B.)

  6. Dynamic management of integrated residential energy systems

    Science.gov (United States)

    Muratori, Matteo

    This study combines principles of energy systems engineering and statistics to develop integrated models of residential energy use in the United States, to include residential recharging of electric vehicles. These models can be used by government, policymakers, and the utility industry to provide answers and guidance regarding the future of the U.S. energy system. Currently, electric power generation must match the total demand at each instant, following seasonal patterns and instantaneous fluctuations. Thus, one of the biggest drivers of costs and capacity requirement is the electricity demand that occurs during peak periods. These peak periods require utility companies to maintain operational capacity that often is underutilized, outdated, expensive, and inefficient. In light of this, flattening the demand curve has long been recognized as an effective way of cutting the cost of producing electricity and increasing overall efficiency. The problem is exacerbated by expected widespread adoption of non-dispatchable renewable power generation. The intermittent nature of renewable resources and their non-dispatchability substantially limit the ability of electric power generation of adapting to the fluctuating demand. Smart grid technologies and demand response programs are proposed as a technical solution to make the electric power demand more flexible and able to adapt to power generation. Residential demand response programs offer different incentives and benefits to consumers in response to their flexibility in the timing of their electricity consumption. Understanding interactions between new and existing energy technologies, and policy impacts therein, is key to driving sustainable energy use and economic growth. Comprehensive and accurate models of the next-generation power system allow for understanding the effects of new energy technologies on the power system infrastructure, and can be used to guide policy, technology, and economic decisions. This

  7. Life-cycle energy of residential buildings in China

    International Nuclear Information System (INIS)

    Chang, Yuan; Ries, Robert J.; Wang, Yaowu

    2013-01-01

    In the context of rapid urbanization and new construction in rural China, residential building energy consumption has the potential to increase with the expected increase in demand. A process-based hybrid life-cycle assessment model is used to quantify the life-cycle energy use for both urban and rural residential buildings in China and determine the energy use characteristics of each life cycle phase. An input–output model for the pre-use phases is based on 2007 Chinese economic benchmark data. A process-based life-cycle assessment model for estimating the operation and demolition phases uses historical energy-intensity data. Results show that operation energy in both urban and rural residential buildings is dominant and varies from 75% to 86% of life cycle energy respectively. Gaps in living standards as well as differences in building structure and materials result in a life-cycle energy intensity of urban residential buildings that is 20% higher than that of rural residential buildings. The life-cycle energy of urban residential buildings is most sensitive to the reduction of operational energy intensity excluding heating energy which depends on both the occupants' energy-saving behavior as well as the performance of the building itself. -- Highlights: •We developed a hybrid LCA model to quantify the life-cycle energy for urban and rural residential buildings in China. •Operation energy in urban and rural residential buildings is dominant, varying from 75% to 86% of life cycle energy respectively. •Compared with rural residential buildings, the life-cycle energy intensity of urban residential buildings is 20% higher. •The life-cycle energy of urban residential buildings is most sensitive to the reduction of daily activity energy

  8. Empirical assessment of the Hellenic non-residential building stock, energy consumption, emissions and potential energy savings

    International Nuclear Information System (INIS)

    Gaglia, Athina G.; Balaras, Constantinos A.; Mirasgedis, Sevastianos; Georgopoulou, Elena; Sarafidis, Yiannis; Lalas, Dimitris P.

    2007-01-01

    Comprehensive information and detailed data for the non-residential (NR) building stock is rather limited, although it is the fastest growing energy demand sector. This paper elaborates the approach used to determine the potential energy conservation in the Hellenic NR building stock. A major obstacle that had to be overcome was the need to make suitable assumptions for missing detailed primary data. A qualitative and quantitative assessment of scattered national data resulted in a realistic assessment of the existing NR building stock and energy consumption. Different energy conservation scenarios and their impact on the reduction of CO 2 emissions were evaluated. Accordingly, the most effective energy conservation measures are: addition of thermal insulation of exposed external walls, primarily in hotels and hospitals; installation of energy efficient lamps; installation of solar collectors for sanitary hot water production, primarily in hotels and health care; installation of building management systems in office/commercial and hotel buildings; replacement of old inefficient boilers; and regular maintenance of central heating boilers

  9. Residential Consumption Scheduling Based on Dynamic User Profiling

    Science.gov (United States)

    Mangiatordi, Federica; Pallotti, Emiliano; Del Vecchio, Paolo; Capodiferro, Licia

    Deployment of household appliances and of electric vehicles raises the electricity demand in the residential areas and the impact of the building's electrical power. The variations of electricity consumption across the day, may affect both the design of the electrical generation facilities and the electricity bill, mainly when a dynamic pricing is applied. This paper focuses on an energy management system able to control the day-ahead electricity demand in a residential area, taking into account both the variability of the energy production costs and the profiling of the users. The user's behavior is dynamically profiled on the basis of the tasks performed during the previous days and of the tasks foreseen for the current day. Depending on the size and on the flexibility in time of the user tasks, home inhabitants are grouped in, one over N, energy profiles, using a k-means algorithm. For a fixed energy generation cost, each energy profile is associated to a different hourly energy cost. The goal is to identify any bad user profile and to make it pay a highest bill. A bad profile example is when a user applies a lot of consumption tasks and low flexibility in task reallocation time. The proposed energy management system automatically schedules the tasks, solving a multi-objective optimization problem based on an MPSO strategy. The goals, when identifying bad users profiles, are to reduce the peak to average ratio in energy demand, and to minimize the energy costs, promoting virtuous behaviors.

  10. Energy consumption of biomass in the residential sector of Italy in 1999

    International Nuclear Information System (INIS)

    Gerardi, V.; Perrella, G.

    2001-01-01

    The report aims at showing the situation in Italian residential sector in the year 1999 about the consumption of biomass like energy source. Data presented are the result of a statistical survey on the Italian family. Taking into account the year 1999, the survey allowed to estimate a national consumption of vegetal fuels equal to about 14 Mt, with an average value by family of 3 t. The following aspects have been put in evidence: the consumption of biomass in Italy is characterised mainly bu the use of wood, 98.5% out of the total vegetal fuel consumption. Olive pits, charcoal and nutshells can be considered as marginal. Biomass supplying system by the families is related to the single biomass typology; in the case of wood there is a substantial equilibrium between the purchase (42.5%) and the self production/supplies (47%). In the case of olive pits the supplying system is mostly the purchase, on the contrary for the nutshells is the self production/supplies; Biomass are mostly used in the principal house (84.8% of the families using biomass); the families expressed satisfaction; the energetic systems that use vegetal fuels have a complementary character in relation to the systems not fuelled with biomass [it

  11. Fiscal 1998 research report. Survey on energy consumption in a residential sector; 1998 nendo chosa hokokusho. Minsei bumon energy shohi jittai chosa

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    On energy consumption in a residential sector, the report reports the document survey result including new documents, and the result of the systematic national questionnaire survey carried out in small and medium cities to prepare the basic data for future development and introduction of petroleum substituting energy. The electric power consumption rate of detached houses (A) is larger by 0.6- 1.6Gcal/household/year than that of apartment houses (B) in every district. The gas consumption rate of A is smaller than that of B in Hokkaido, Kanto and Kyushu. The LPG consumption rate of Kinki district is largest in both A and B. The kerosene consumption rate of A is larger than that of B. In Hokkaido, the kerosene consumption is extremely large in heating, showing a ratio of 60% or more in A. In the other districts, the kerosene consumption is largest in hot water supply, showing 30% or more. Every consumption rate increases with annual household income. The average consumption rate of 4 districts is 11,137Mcal/household/year. (NEDO)

  12. A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK

    International Nuclear Information System (INIS)

    Zhang Tao; Siebers, Peer-Olaf; Aickelin, Uwe

    2012-01-01

    This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e., economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for archetyping residential energy consumers in the UK by considering property energy efficiency levels, the greenness of household behaviour of using energy, and the duration of property daytime occupancy. With the proposed model, eight archetypes of residential energy consumers in the UK have been identified. They are: pioneer greens, follower greens, concerned greens, home stayers, unconscientious wasters, regular wasters, daytime wasters, and disengaged wasters. Using a case study, these archetypes of residential energy consumers demonstrate the robustness of the 3-D model in aiding local energy policy/intervention design in the UK. - Highlights: ► This paper reviews the three traditional lines of research in residential energy consumption in the UK. ► Based on the literature review, the paper proposes a 3-D conceptual model for archetyping UK residential energy consumers. ► The 3-D archetype model can aid local energy policy/intervention design in the UK.

  13. URBAN FEATURES AND ENERGY CONSUMPTION AT LOCAL LEVEL

    Directory of Open Access Journals (Sweden)

    Ali Soltani

    2012-12-01

    Full Text Available There has been a growing interest in discovering the human effects on the environment and energy consumption in recent decades. It is estimated that the share of energy consumed in transportation and housing systems are around 20 and 30 percent of total energy consumption respectively. Furthermore, the residential greenhouse emissions depend on urban form and structure. This paper explores the effects of urban features on residential energy consumption at neighborhood level using data collected through household questionnaire (n=140. Two residential districts in metropolitan Shiraz, south of Iran, were selected as case study areas. Different features of two areas were compared including building density, typology, housing location, parcel size, floor area and construction materials. Ordinary linear regression was used to discover the impact of explanatory variables on energy consumption. It was found that some physical variables such as parcel size, setback and number of floors played significant roles in explaining the variances exist in energy use level. The results can be used by governmental agencies to modify land use policies and subdivision rules in hope of saving energy and achieving a sustainable community.

  14. The impact of weather variation on energy consumption in residential houses

    International Nuclear Information System (INIS)

    Fikru, Mahelet G.; Gautier, Luis

    2015-01-01

    Highlights: • There is evidence for significant intraday variation of energy use. • The sensitivity of energy use to weather variation falls via efficiency features. • The sensitivity of energy use to weather depends on the specific time of day/night. • High frequency data helps to accurately model the energy use-weather relationship. - Abstract: This paper studies the impact of weather variation on energy use by using 5-minutes interval weather–energy data obtained from two residential houses: house 1 is a conventional house with advanced efficiency features and house 2 is a net-zero solar house with relatively more advanced efficiency features. Our result suggests that energy consumption in house 2 is not as sensitive to changes in weather variables as the conventional house. On average, we find that a one unit increase in heating and cooling degree minutes increases energy use by about 9% and 5% respectively for house 1 and 5% and 4% respectively for house 2. In addition, our findings suggest that non-temperature variables such as solar radiation and humidity affect energy use where the sensitivity rates for house 2 are consistently lower than that of house 1. Furthermore our result suggests that the sensitivity of energy use to weather depends on the season and specific time of the day/night

  15. Assessment of infiltration heat recovery and its impact on energy consumption for residential buildings

    International Nuclear Information System (INIS)

    Solupe, Mikel; Krarti, Moncef

    2014-01-01

    Highlights: • Five steady-state air infiltration heat recovery or IHR models are described and compared. • IHR models are incorporated within whole-building simulation analysis tool. • IHR can reduce the thermal loads of residential buildings by 5–30%. - Abstract: Infiltration is a major contributor to the energy consumption of buildings, particularly in homes where it accounts for one-third of the heating and cooling loads. Traditionally, infiltration is calculated independent of the building envelope performance, however, it has been established that a thermal coupling exists between the infiltration and conduction heat transfer of the building envelope. This effect is known as infiltration heat recovery (IHR). Experiments have shown that infiltration heat recovery can typically reduce the infiltration thermal load by 10–20%. Currently, whole-building energy simulation tools do not account for the effect of infiltration heat recovery on heating and cooling loads. In this paper, five steady-state IHR models are described to account for the thermal interaction between infiltration air and building envelope components. In particular, inter-model and experimental comparisons are carried out to assess the prediction accuracy of five IHR models. In addition, the results from a series of sensitivity analyses are presented, including an evaluation of the predictions for heating energy use associated with four audited homes obtained from whole-building energy simulation analysis with implemented infiltration heat recovery models. Experimental comparison of the IHR models reveal that the predictions from all the five models are consistent and are within 2% when 1-D flow and heat transfer conditions are considered. When implementing IHR models to a whole-building simulation environment, a reduction of 5–30% in heating consumption is found for four audited residential homes

  16. Estimation of energy efficiency of residential buildings

    Directory of Open Access Journals (Sweden)

    Glushkov Sergey

    2017-01-01

    Full Text Available Increasing energy performance of the residential buildings by means of reducing heat consumption on the heating and ventilation is the last segment in the system of energy resources saving. The first segments in the energy saving process are heat producing and transportation over the main lines and outside distribution networks. In the period from 2006 to 2013. by means of the heat-supply schemes optimization and modernization of the heating systems. using expensive (200–300 $US per 1 m though hugely effective preliminary coated pipes. the economy reached 2.7 mln tons of fuel equivalent. Considering the multi-stage and multifactorial nature (electricity. heat and water supply of the residential sector energy saving. the reasonable estimate of the efficiency of the saving of residential buildings energy should be performed in tons of fuel equivalent per unit of time.

  17. Modeling of Monthly Residential and Commercial Electricity Consumption Using Nonlinear Seasonal Models—The Case of Hong Kong

    Directory of Open Access Journals (Sweden)

    Wai-Ming To

    2017-06-01

    Full Text Available Accurate modeling and forecasting monthly electricity consumption are the keys to optimizing energy management and planning. This paper examines the seasonal characteristics of electricity consumption in Hong Kong—a subtropical city with 7 million people. Using the data from January 1970 to December 2014, two novel nonlinear seasonal models for electricity consumption in the residential and commercial sectors were obtained. The models show that the city’s monthly residential and commercial electricity consumption patterns have different seasonal variations. Specifically, monthly residential electricity consumption (mainly for appliances and cooling in summer has a quadratic relationship with monthly mean air temperature, while monthly commercial electricity consumption has a linear relationship with monthly mean air temperature. The nonlinear seasonal models were used to predict residential and commercial electricity consumption for the period January 2015–December 2016. The correlations between the predicted and actual values were 0.976 for residential electricity consumption and 0.962 for commercial electricity consumption, respectively. The root mean square percentage errors for the predicted monthly residential and commercial electricity consumption were 7.0% and 6.5%, respectively. The new nonlinear seasonal models can be applied to other subtropical urban areas, and recommendations on the reduction of commercial electricity consumption are given.

  18. Converting Energy Subsidies to Investments: Scaling-Up Deep Energy Retrofit in Residential Sector of Ukraine

    Science.gov (United States)

    Denysenko, Artur

    After collapse of the Soviet Union, Ukraine inherited vast and inefficient infrastructure. Combination of historical lack of transparency, decades without reforms, chronical underinvestment and harmful cross-subsidization resulted in accumulation of energy problems, which possess significant threat to economic prosperity and national security. High energy intensity leads to excessive use of energy and heavy reliance on energy import to meet domestic demand. Energy import, in turn, results in high account balance deficit and heavy burden on the state finances. A residential sector, which accounts for one third of energy consumption and is the highest consumer of natural gas, is particularly challenging to reform. This thesis explores energy consumption of the residential sector of Ukraine. Using energy decomposition method, recent changes in energy use is analyzed. Energy intensity of space heating in the residential sector of Ukraine is compared with selected EU member states with similar climates. Energy efficiency potential is evaluated for whole residential sector in general and for multistory apartment buildings connected to the district heating in particular. Specifically, investments in thermal modernization of multistory residential buildings will result in almost 45TWh, or 3.81 Mtoe, of annual savings. Required investments for deep energy retrofit of multistory buildings is estimated as much as $19 billion in 2015 prices. Experience of energy subsidy reforms as well as lessons from energy retrofit policy from selected countries is analyzed. Policy recommendations to turn energy subsidies into investments in deep energy retrofit of residential sector of Ukraine are suggested. Regional dimension of existing energy subsidies and capital subsidies required for energy retrofit is presented.

  19. Household energy and consumption and expenditures, 1990

    International Nuclear Information System (INIS)

    1993-01-01

    The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990

  20. Using passive cooling strategies to improve thermal performance and reduce energy consumption of residential buildings in U.A.E. buildings

    Directory of Open Access Journals (Sweden)

    Hanan M. Taleb

    2014-06-01

    Full Text Available Passive design responds to local climate and site conditions in order to maximise the comfort and health of building users while minimising energy use. The key to designing a passive building is to take best advantage of the local climate. Passive cooling refers to any technologies or design features adopted to reduce the temperature of buildings without the need for power consumption. Consequently, the aim of this study is to test the usefulness of applying selected passive cooling strategies to improve thermal performance and to reduce energy consumption of residential buildings in hot arid climate settings, namely Dubai, United Arab Emirates. One case building was selected and eight passive cooling strategies were applied. Energy simulation software – namely IES – was used to assess the performance of the building. Solar shading performance was also assessed using Sun Cast Analysis, as a part of the IES software. Energy reduction was achieved due to both the harnessing of natural ventilation and the minimising of heat gain in line with applying good shading devices alongside the use of double glazing. Additionally, green roofing proved its potential by acting as an effective roof insulation. The study revealed several significant findings including that the total annual energy consumption of a residential building in Dubai may be reduced by up to 23.6% when a building uses passive cooling strategies.

  1. An Efficient Approach for Energy Consumption Optimization and Management in Residential Building Using Artificial Bee Colony and Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    Fazli Wahid

    2016-01-01

    Full Text Available The energy management in residential buildings according to occupant’s requirement and comfort is of vital importance. There are many proposals in the literature addressing the issue of user’s comfort and energy consumption (management with keeping different parameters in consideration. In this paper, we have utilized artificial bee colony (ABC optimization algorithm for maximizing user comfort and minimizing energy consumption simultaneously. We propose a complete user friendly and energy efficient model with different components. The user set parameters and the environmental parameters are inputs of the ABC, and the optimized parameters are the output of the ABC. The error differences between the environmental parameters and the ABC optimized parameters are inputs of fuzzy controllers, which give the required energy as the outputs. The purpose of the optimization algorithm is to maximize the comfort index and minimize the error difference between the user set parameters and the environmental parameters, which ultimately decreases the power consumption. The experimental results show that the proposed model is efficient in achieving high comfort index along with minimized energy consumption.

  2. Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption

    International Nuclear Information System (INIS)

    López-Rodríguez, M.A.; Santiago, I.; Trillo-Montero, D.; Torriti, J.; Moreno-Munoz, A.

    2013-01-01

    The growing energy consumption in the residential sector represents about 30% of global demand. This calls for Demand Side Management solutions propelling change in behaviors of end consumers, with the aim to reduce overall consumption as well as shift it to periods in which demand is lower and where the cost of generating energy is lower. Demand Side Management solutions require detailed knowledge about the patterns of energy consumption. The profile of electricity demand in the residential sector is highly correlated with the time of active occupancy of the dwellings; therefore in this study the occupancy patterns in Spanish properties was determined using the 2009–2010 Time Use Survey (TUS), conducted by the National Statistical Institute of Spain. The survey identifies three peaks in active occupancy, which coincide with morning, noon and evening. This information has been used to input into a stochastic model which generates active occupancy profiles of dwellings, with the aim to simulate domestic electricity consumption. TUS data were also used to identify which appliance-related activities could be considered for Demand Side Management solutions during the three peaks of occupancy. -- Highlights: •Active occupancy profiles of Spanish dwellings has been obtained and modeled from Time Use Survey data. •Occupancy profiles resulting from the model can be used to model domestic energy consumption. •The presence of three peaks of active occupation was verified, which coincide with morning, noon and evening. •Manual and incentive-based DSM programmes are considered the most suitable for Spanish dwellings. •TV electricity consumption becomes important at aggregate level

  3. The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data

    Directory of Open Access Journals (Sweden)

    Yanan Liu

    2016-10-01

    Full Text Available There are many uncertainties and risks in residential electricity consumption associated with economic development. Knowledge of the relationship between residential electricity consumption and its key determinant—income—is important to the sustainable development of the electric power industry. Using panel data from 30 provinces for the 1995–2012 period, this study investigates how residential electricity consumption changes as incomes increase in China. Previous studies typically used linear or quadratic double-logarithmic models imposing ex ante restrictions on the indistinct relationship between residential electricity consumption and income. Contrary to those models, we employed a reduced piecewise linear model that is self-adaptive and highly flexible and circumvents the problem of “prior restrictions”. Robust tests of different segment specifications and regression methods are performed to ensure the validity of the research. The results provide strong evidence that the income elasticity was approximately one, and it remained stable throughout the estimation period. The income threshold at which residential electricity consumption automatically remains stable or slows has not been reached. To ensure the sustainable development of the electric power industry, introducing higher energy efficiency standards for electrical appliances and improving income levels are vital. Government should also emphasize electricity conservation in the industrial sector rather than in residential sector.

  4. Greenhouse gas emissions accounting of urban residential consumption: a household survey based approach.

    Directory of Open Access Journals (Sweden)

    Tao Lin

    Full Text Available Devising policies for a low carbon city requires a careful understanding of the characteristics of urban residential lifestyle and consumption. The production-based accounting approach based on top-down statistical data has a limited ability to reflect the total greenhouse gas (GHG emissions from residential consumption. In this paper, we present a survey-based GHG emissions accounting methodology for urban residential consumption, and apply it in Xiamen City, a rapidly urbanizing coastal city in southeast China. Based on this, the main influencing factors determining residential GHG emissions at the household and community scale are identified, and the typical profiles of low, medium and high GHG emission households and communities are identified. Up to 70% of household GHG emissions are from regional and national activities that support household consumption including the supply of energy and building materials, while 17% are from urban level basic services and supplies such as sewage treatment and solid waste management, and only 13% are direct emissions from household consumption. Housing area and household size are the two main factors determining GHG emissions from residential consumption at the household scale, while average housing area and building height were the main factors at the community scale. Our results show a large disparity in GHG emissions profiles among different households, with high GHG emissions households emitting about five times more than low GHG emissions households. Emissions from high GHG emissions communities are about twice as high as from low GHG emissions communities. Our findings can contribute to better tailored and targeted policies aimed at reducing household GHG emissions, and developing low GHG emissions residential communities in China.

  5. Greenhouse Gas Emissions Accounting of Urban Residential Consumption: A Household Survey Based Approach

    Science.gov (United States)

    Lin, Tao; Yu, Yunjun; Bai, Xuemei; Feng, Ling; Wang, Jin

    2013-01-01

    Devising policies for a low carbon city requires a careful understanding of the characteristics of urban residential lifestyle and consumption. The production-based accounting approach based on top-down statistical data has a limited ability to reflect the total greenhouse gas (GHG) emissions from residential consumption. In this paper, we present a survey-based GHG emissions accounting methodology for urban residential consumption, and apply it in Xiamen City, a rapidly urbanizing coastal city in southeast China. Based on this, the main influencing factors determining residential GHG emissions at the household and community scale are identified, and the typical profiles of low, medium and high GHG emission households and communities are identified. Up to 70% of household GHG emissions are from regional and national activities that support household consumption including the supply of energy and building materials, while 17% are from urban level basic services and supplies such as sewage treatment and solid waste management, and only 13% are direct emissions from household consumption. Housing area and household size are the two main factors determining GHG emissions from residential consumption at the household scale, while average housing area and building height were the main factors at the community scale. Our results show a large disparity in GHG emissions profiles among different households, with high GHG emissions households emitting about five times more than low GHG emissions households. Emissions from high GHG emissions communities are about twice as high as from low GHG emissions communities. Our findings can contribute to better tailored and targeted policies aimed at reducing household GHG emissions, and developing low GHG emissions residential communities in China. PMID:23405187

  6. Climate impacts on extreme energy consumption of different types of buildings.

    Science.gov (United States)

    Li, Mingcai; Shi, Jun; Guo, Jun; Cao, Jingfu; Niu, Jide; Xiong, Mingming

    2015-01-01

    Exploring changes of building energy consumption and its relationships with climate can provide basis for energy-saving and carbon emission reduction. Heating and cooling energy consumption of different types of buildings during 1981-2010 in Tianjin city, was simulated by using TRNSYS software. Daily or hourly extreme energy consumption was determined by percentile methods, and the climate impact on extreme energy consumption was analyzed. The results showed that days of extreme heating consumption showed apparent decrease during the recent 30 years for residential and large venue buildings, whereas days of extreme cooling consumption increased in large venue building. No significant variations were found for the days of extreme energy consumption for commercial building, although a decreasing trend in extreme heating energy consumption. Daily extreme energy consumption for large venue building had no relationship with climate parameters, whereas extreme energy consumption for commercial and residential buildings was related to various climate parameters. Further multiple regression analysis suggested heating energy consumption for commercial building was affected by maximum temperature, dry bulb temperature, solar radiation and minimum temperature, which together can explain 71.5 % of the variation of the daily extreme heating energy consumption. The daily extreme cooling energy consumption for commercial building was only related to the wet bulb temperature (R2= 0.382). The daily extreme heating energy consumption for residential building was affected by 4 climate parameters, but the dry bulb temperature had the main impact. The impacts of climate on hourly extreme heating energy consumption has a 1-3 hour delay in all three types of buildings, but no delay was found in the impacts of climate on hourly extreme cooling energy consumption for the selected buildings.

  7. Residential heat pumps in the future Danish energy system

    DEFF Research Database (Denmark)

    Petrovic, Stefan; Karlsson, Kenneth Bernard

    2016-01-01

    for politically agreed targets which include: at least 50% of electricity consumption from wind power starting from 2020, fossil fuel free heat and power sector from 2035 and 100% renewable energy system starting from 2050. Residential heat pumps supply around 25% of total residential heating demand after 2035......Denmark is striving towards 100% renewable energy system in 2050. Residential heat pumps are expected to be a part of that system.We propose two novel approaches to improve the representation of residential heat pumps: Coefficients of performance (COPs) are modelled as dependent on air and ground...... temperature while installation of ground-source heat pumps is constrained by available ground area. In this study, TIMES-DK model is utilised to test the effects of improved modelling of residential heat pumps on the Danish energy system until 2050.The analysis of the Danish energy system was done...

  8. Evaluation of the impact of environmental public policy measures on energy consumption and greenhouse gas emissions in the French residential sector

    International Nuclear Information System (INIS)

    Charlier, Dorothée; Risch, Anna

    2012-01-01

    A cut in energy consumption by 2050 to reach 50 kWh pe /m 2 /year and reduce GHG emissions by 75% are important objectives of environmental policy in France. The residential sector represents a significant potential source of energy savings. In this paper, our main objective is to construct a simulation model and to evaluate the impact of environmental public policy measures. We model energy consumption and GHG emissions, the decision to invest in energy saving renovations and the dynamics of the housing stock. Particular attention is paid to household investment decisions regarding home renovation. To generate the dynamics and the structure of the housing stock through 2050, we introduce socioeconomic variables that alter the number of renovations and new constructions. This study has three major outputs. First, we estimate the energy consumption and GHG emissions of the residential sector in France through 2050. Second, we study the impact of environmental public policy measures. Lastly, we propose different means to reach the objectives. The results show that while current policies are effective, they are not sufficient to reach the objectives. - Highlights: ► We model the decision to invest in energy saving renovations and dynamics of the housing stock. ► We model and estimate the energy consumption and GHG emissions. ► We study the impact of current environmental public policy measures ► We simulate different public policies to reach the French objectives ► Results show that current policies are effective but not sufficient.

  9. Future air conditioning energy consumption in developing countries and what can be done about it: the potential of efficiency in the residential sector

    Energy Technology Data Exchange (ETDEWEB)

    McNeil, Michael A.; Letschert, Virginie E. [Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory (United States)

    2007-07-01

    The dynamics of air conditioning are of particular interest to energy analysts, both because of the high energy consumption of this product, but also its disproportionate impact on peak load. This paper addresses the special role of this end use as a driver of residential electricity consumption in rapidly developing economies. Recent history has shown that air conditioner ownership grows more rapidly than economic growth in warm-climate countries. In 1990, less than a percent of urban Chinese households owned an air conditioner; by 2003 this number rose to 62 %. The evidence suggests a similar explosion of air conditioner use in many other countries is not far behind. Room air conditioner purchases in India are currently growing at 20 % per year, with about half of these purchases attributed to the residential sector. This paper draws on two distinct methodological elements to assess future residential air conditioner 'business as usual' electricity consumption by country/region and to consider specific alternative 'high efficiency' scenarios. The first component is an econometric ownership and use model based on household income, climate and demographic parameters. The second combines ownership forecasts and stock accounting with geographically specific efficiency scenarios within a unique analysis framework (BUENAS) developed by LBNL. The efficiency scenario module considers current efficiency baselines, available technologies, and achievable timelines for development of market transformation programs, such as minimum efficiency performance standards (MEPS) and labeling programs. The result is a detailed set of consumption and emissions scenarios for residential air conditioning.

  10. Climate impacts on extreme energy consumption of different types of buildings.

    Directory of Open Access Journals (Sweden)

    Mingcai Li

    Full Text Available Exploring changes of building energy consumption and its relationships with climate can provide basis for energy-saving and carbon emission reduction. Heating and cooling energy consumption of different types of buildings during 1981-2010 in Tianjin city, was simulated by using TRNSYS software. Daily or hourly extreme energy consumption was determined by percentile methods, and the climate impact on extreme energy consumption was analyzed. The results showed that days of extreme heating consumption showed apparent decrease during the recent 30 years for residential and large venue buildings, whereas days of extreme cooling consumption increased in large venue building. No significant variations were found for the days of extreme energy consumption for commercial building, although a decreasing trend in extreme heating energy consumption. Daily extreme energy consumption for large venue building had no relationship with climate parameters, whereas extreme energy consumption for commercial and residential buildings was related to various climate parameters. Further multiple regression analysis suggested heating energy consumption for commercial building was affected by maximum temperature, dry bulb temperature, solar radiation and minimum temperature, which together can explain 71.5 % of the variation of the daily extreme heating energy consumption. The daily extreme cooling energy consumption for commercial building was only related to the wet bulb temperature (R2= 0.382. The daily extreme heating energy consumption for residential building was affected by 4 climate parameters, but the dry bulb temperature had the main impact. The impacts of climate on hourly extreme heating energy consumption has a 1-3 hour delay in all three types of buildings, but no delay was found in the impacts of climate on hourly extreme cooling energy consumption for the selected buildings.

  11. Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010

    OpenAIRE

    Tharinya Supasa; Shu-San Hsiau; Shih-Mo Lin; Wongkot Wongsapai; Jiunn-Chi Wu

    2017-01-01

    Since 1995, the residential sector has been a fast-growing energy consumption sector in Thailand. This sector contributes dramatically to the growth of Thailand’s electricity and oil demand. Our study analysed Thailand’s residential energy consumption characteristics and the seven underlying factors affecting the growth in energy use of five demographic regions using an energy input–output method. Embodied energy decomposition revealed that direct energy consumption accounted for approximatel...

  12. Public participation in energy saving retrofitting of residential buildings in China

    NARCIS (Netherlands)

    Liu Wenling, Wenling; Zhang, J.; Bluemling, B.; Mol, A.P.J.; Wang, C.

    2015-01-01

    Retrofitting existing residential buildings has been claimed as one crucial way to reduce energy consumption and greenhouse gas emissions within the Chinese residential sector. In China’s government-dominated retrofitting projects, the participation of residents is often neglected. The objective of

  13. Future Air Conditioning Energy Consumption in Developing Countries and what can be done about it: The Potential of Efficiency in the Residential Sector

    OpenAIRE

    McNeil, Michael A.; Letschert, Virginie E.

    2008-01-01

    The dynamics of air conditioning are of particular interest to energy analysts, both because of the high energy consumption of this product, but also its disproportionate impact on peak load. This paper addresses the special role of this end use as a driver of residential electricity consumption in rapidly developing economies. Recent history has shown that air conditioner ownership can grow grows more rapidly than economic growth in warm-climate countries. In 1990, less than a percent o...

  14. Energy Performance of Three Residential College Buildings in University of Malaya Campus, Kuala Lumpur

    Directory of Open Access Journals (Sweden)

    Adi Ainurzaman Jamaludin

    2011-12-01

    Full Text Available Three residential colleges located in Kuala Lumpur, Malaysia, were selected for energy performance analysis in regards to its implementation of bioclimatic design strategies. Specifically, passive design strategies on daylighting and natural ventilation were examined. In Malaysia, the residential college or hostel is a multi-residential building providing accommodation to university students. The three residential colleges in this study, namely C1, C2 and C3, were built in different years with different designs and forms, particularly with regards to enclosure and facade design, solar control devices, passive daylight concepts, and natural ventilation strategies. The building designs were carefully studied and an electric consumption analysis was carried out in each residential college. This study revealed that the wide-scale implementation of bioclimatic design strategies in college C2 help reduced the annual energy consumption. The building bioclimatic design features that are accountable to reduce energy consumption are the internal courtyard and balconies on each unit of floor area, as shown in C3.Results from this study highly recommend internal courtyard and balcony building combination for multi residential building design, especially in tropical urban regions.

  15. Decomposition analysis of gas consumption in the residential sector in Ireland

    International Nuclear Information System (INIS)

    Rogan, Fionn; Cahill, Caiman J.; Ó Gallachóir, Brian P.

    2012-01-01

    To-date, decomposition analysis has been widely used at the macro-economic level and for in-depth analyses of the industry and transport sectors; however, its application in the residential sector has been rare. This paper uses the Log-Mean Divisia Index I (LMDI-I) methodology to decompose gas consumption trends in the gas-connected residential sector in Ireland from 1990 to 2008, which despite an increasing number of energy efficiency policies, experienced total final consumption growth of 470%. The analysis decomposes this change in gas consumption into a number of effects, examining the impact over time of market factors such as a growing customer base, varying mix of dwelling types, changing share of vacant dwellings, changing size of new dwellings, the impact of building regulations policy and other factors such as the weather. The analysis finds the most significant effects are changing customer numbers and changing intensity; the analysis also quantifies the impact of building regulations and compares it with other effects such as changing size of new dwellings. By comparing the historical impact on gas consumption of policy factors and non-policy factors, this paper highlights the challenge for policy-makers in achieving overall energy consumption reduction. - Highlights: ► Contribution to a gap in the literature with a residential sector decomposition analysis of gas TFC. ► Activity effect had the largest impact and was cumulatively the best explainer of total TFC change. ► Intensity effect was the second biggest effect with a 19% share of total TFC change. ► In line with rising surface temperatures, the weather effect is declining over time. ► Building regulations are having a diminishing impact but are being negated by larger dwellings.

  16. Dynamic modeling of potentially conflicting energy reduction strategies for residential structures in semi-arid climates.

    Science.gov (United States)

    Hester, Nathan; Li, Ke; Schramski, John R; Crittenden, John

    2012-04-30

    Globally, residential energy consumption continues to rise due to a variety of trends such as increasing access to modern appliances, overall population growth, and the overall increase of electricity distribution. Currently, residential energy consumption accounts for approximately one-fifth of total U.S. energy consumption. This research analyzes the effectiveness of a range of energy-saving measures for residential houses in semi-arid climates. These energy-saving measures include: structural insulated panels (SIP) for exterior wall construction, daylight control, increased window area, efficient window glass suitable for the local weather, and several combinations of these. Our model determined that energy consumption is reduced by up to 6.1% when multiple energy savings technologies are combined. In addition, pre-construction technologies (structural insulated panels (SIPs), daylight control, and increased window area) provide roughly 4 times the energy savings when compared to post-construction technologies (window blinds and efficient window glass). The model also illuminated the importance variations in local climate and building configuration; highlighting the site-specific nature of this type of energy consumption quantification for policy and building code considerations. Published by Elsevier Ltd.

  17. Modeling electric load and water consumption impacts from an integrated thermal energy and rainwater storage system for residential buildings in Texas

    International Nuclear Information System (INIS)

    Upshaw, Charles R.; Rhodes, Joshua D.; Webber, Michael E.

    2017-01-01

    Highlights: • Hydronic integrated rainwater thermal storage (ITHERST) system concept presented. • ITHERST system modeled to assess peak electric load shifting and water savings. • Case study shows 75% peak load reduction and 9% increase in energy consumption. • Potable rainwater collection could provide ∼50–90% of water used for case study. - Abstract: The United States’ built environment is a significant direct and indirect consumer of energy and water. In Texas, and other parts of the Southern and Western US, air conditioning loads, particularly from residential buildings, contribute significantly to the peak electricity load on the grid, straining transmission. In parallel, water resources in these regions are strained by growing populations and shrinking supplies. One potential method to address both of these issues is to develop integrated thermal energy and auxiliary water (e.g. rainwater, greywater, etc.) storage and management systems that reduce peak load and freshwater consumption. This analysis focuses on a proposed integrated thermal energy and rainwater storage (ITHERST) system that is incorporated into a residential air-source chiller/heat pump with hydronic distribution. This paper describes a step-wise hourly thermodynamic model of the thermal storage system to assess on-peak performance, and a daily volume-balance model of auxiliary water collection and consumption to assess water savings potential. While the model is generalized, this analysis uses a case study of a single family home in Austin, Texas to illustrate its capabilities. The results indicate this ITHERST system could reduce on-peak air conditioning electric power demand by over 75%, with increased overall electric energy consumption of approximately 7–9%, when optimally sized. Additionally, the modeled rainwater collection reduced municipal water consumption by approximately 53–89%, depending on the system size.

  18. Energy options for residential buildings assessment

    International Nuclear Information System (INIS)

    Rezaie, Behnaz; Dincer, Ibrahim; Esmailzadeh, Ebrahim

    2013-01-01

    Highlights: ► Studying various building energy options. ► Assessing these options from various points. ► Comparing these options for better environment and sustainability. ► Proposing renewable energy options as potential solutions. - Abstract: The building sector, as one of the major energy consumers, demands most of the energy research to assess different energy options from various aspects. In this paper, two similar residential buildings, with either low or high energy consumption patterns, are chosen as case studies. For these case studies, three different renewable energy technology and three different hybrid systems are designed for a specified size. Then, the environmental impact indices, renewable energy indices, and the renewable exergy indices have been estimated for every energy options. Results obtained show that the hybrid systems (without considering the economics factors) are superior and having top indices. The importance of the energy consumption patterns in buildings are proven by the indices. By cutting the energy consumption to about 40% the environment index would increase by more than twice (2.1). Utilization of the non-fossil fuels is one part of the solution to environmental problems while energy conservation being the other. It has been shown that the re-design of the energy consumption model is less complex but more achievable for buildings.

  19. A Real-Time Energy Consumption Simulation and Comparison of Buildings in Different Construction Years in the Olympic Central Area in Beijing

    Directory of Open Access Journals (Sweden)

    Chen Xu

    2017-12-01

    Full Text Available Energy consumed the in urban sector accounts for a large proportion of total world delivered energy consumption. Residential building energy consumption is an important part of urban energy consumption. However, there are few studies focused on this issue and that have simulated the energy consumption of residential buildings using questionnaire data. In this research, an eQUEST study was conducted for different residential buildings in the Olympic Central Area in Beijing. Real-time meteorological observation data and an actual energy consumption schedule generated by questionnaire data were used to improve the eQUEST model in the absence of actual energy consumption data. The simulated total energy consumption of residential buildings in the case area in 2015 is 21,262.28 tce, and the average annual energy consumption per unit area is 20.09 kgce/(m2·a. Space heating accounted for 45% of the total energy consumption as the highest proportion, and the second highest was household appliances, which accounted for 20%. The results showed that old residential buildings, multi-storey buildings and large-sized apartment buildings consume more energy. The internal units, building height, per capita construction area, the number of occupants and length of power use had significant impact on residential energy consumption. The result of this study will provide practical reference for energy saving reconstruction of residential buildings in Beijing.

  20. Performance-based potential for residential energy efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Performance-based potential for residential energy efficiency

    2013-01-15

    Energy performance contracts (EPCs) have proven an effective mechanism for increasing energy efficiency in nearly all sectors of the economy since their introduction nearly 30 years ago. In the modern form, activities undertaken as part of an EPC are scoped and implemented by experts with specialized technical knowledge, financed by commercial lenders, and enable a facility owner to limit risk and investment of time and resources while receiving the rewards of improved energy performance. This report provides a review of the experiences of the US with EPCs and discusses the possibilities for the residential sector to utilize EPCs. Notably absent from the EPC market is the residential segment. Historically, research has shown that the residential sector varies in several key ways from markets segments where EPCs have proven successful, including: high degree of heterogeneity of energy use characteristics among and within households, comparatively small quantity of energy consumed per residence, limited access to information about energy consumption and savings potential, and market inefficiencies that constrain the value of efficiency measures. However, the combination of recent technological advances in automated metering infrastructure, flexible financing options, and the expansion of competitive wholesale electricity markets to include energy efficiency as a biddable supply-side resource present an opportunity for EPC-like efforts to successfully engage the residential sector, albeit following a different model than has been used in EPCs traditionally.(Author)

  1. Analysis of U.S. household wood energy consumption: 1967-2009

    Science.gov (United States)

    Nianfu. Song; Francisco X. Aguilar; Stephen R. Shifley; Michael E. Goerndt

    2012-01-01

    The residential sector consumes about 23% of the energy derived from wood (wood energy) in the U.S. An estimated error correction model with data from 1967 to 2009 suggests that residential wood energy consumption has declined by an average 3% per year in response to technological progress, urbanization, accessibility of non-wood energy, and other factors associated...

  2. Energy consumptions per sector; Les consommations d'energie par secteur

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2005-07-01

    This document presents the energy consumption data of France per energy type and sector of use in the form of tables and graphics for the last decade and sometimes before: 1 - residential and tertiary sector: energy consumption per energy source, energy consumption per use (coal, heavy and domestic fuels, natural gas, LPG (butane, propane), electricity), comparison of the share of each energy source between 1973 and 2003, 20 years of space heating data in main dwellings (1982-2002), district heating networks from 1987 to 1997; 2 - transportation sector: fuel consumption of individual cars in France (1990-2003, 1990-2002, 1990-2001, 1987-1999), some indicators about the energy consumption in transports in France (2000-2001); 3 - industry sector: consumption of fuel substitutes in the cement industry in 2001, importance and limitations. (J.S.)

  3. Impact Analysis of Window-Wall Ratio on Heating and Cooling Energy Consumption of Residential Buildings in Hot Summer and Cold Winter Zone in China

    Directory of Open Access Journals (Sweden)

    Qiaoxia Yang

    2015-01-01

    Full Text Available In order to assess the optimal window-wall ratio and the proper glazing type in different air conditioning system operation modes of residential buildings for each orientation in three typical cities in hot summer and cold winter zone: Chongqing, Shanghai, and Wuhan simulation models were built and analyzed using Designer’s Simulation Toolkit (DeST. The study analyzed the variation of annual heating energy demand, annual cooling energy demand, and the annual total energy consumption in different conditions, including different orientations, patterns of utilization of air conditioning system, window-wall ratio, and types of windows. The results show that the total energy consumption increased when the window-wall ratio is also increased. It appears more obvious when the window orientation is east or west. Furthermore, in terms of energy efficiency, low-emissivity (Low-E glass performs better than hollow glass. From this study, it can be concluded that the influence and sensitivity of window-wall ratio on the total energy consumption are related to the operation mode of air conditioning system, the orientation of outside window, and the glazing types of window. The influence of the factors can be regarded as reference mode for the window-wall ratio when designing residential buildings.

  4. Exploring variance in residential electricity consumption: Household features and building properties

    International Nuclear Information System (INIS)

    Bartusch, Cajsa; Odlare, Monica; Wallin, Fredrik; Wester, Lars

    2012-01-01

    Highlights: ► Statistical analysis of variance are of considerable value in identifying key indicators for policy update. ► Variance in residential electricity use is partly explained by household features. ► Variance in residential electricity use is partly explained by building properties. ► Household behavior has a profound impact on individual electricity use. -- Abstract: Improved means of controlling electricity consumption plays an important part in boosting energy efficiency in the Swedish power market. Developing policy instruments to that end requires more in-depth statistics on electricity use in the residential sector, among other things. The aim of the study has accordingly been to assess the extent of variance in annual electricity consumption in single-family homes as well as to estimate the impact of household features and building properties in this respect using independent samples t-tests and one-way as well as univariate independent samples analyses of variance. Statistically significant variances associated with geographic area, heating system, number of family members, family composition, year of construction, electric water heater and electric underfloor heating have been established. The overall result of the analyses is nevertheless that variance in residential electricity consumption cannot be fully explained by independent variables related to household and building characteristics alone. As for the methodological approach, the results further suggest that methods for statistical analysis of variance are of considerable value in indentifying key indicators for policy update and development.

  5. Energy impacts of recycling disassembly material in residential buildings

    International Nuclear Information System (INIS)

    Gao, Weijun; Ariyama, Takahiro; Ojima, Toshio; Meier, Alan

    2000-01-01

    In order to stop the global warmth due to the CO2 concentration, the energy use should be decreased. The investment of building construction industry in Japan is about 20 percent of GDP. This fraction is much higher than in most developed countries. That results the Japanese building construction industry including residential use consumes about one third of all energy and resources of the entire industrial sectors. In order to save energy as well as resource, the recycle of the building materials should be urgent to be carried out. In this paper, we focus on the potential energy savings with a simple calculated method when the building materials or products are manufactured from recycled materials. We examined three kinds of residential buildings with different construction techniques and estimated the decreased amount of energy consumption and resources resulting from use of recycled materials. The results have shown for most building materials, the energy consumption needed to remake housing materials from recycled materials is lower than that to make new housing materials. The energy consumption of building materials in all case-study housing can be saved by at least 10 percent. At the same time, the resource, measured by mass of building materials (kg) can be decreased by over 50 percent

  6. Second life battery energy storage system for residential demand response service

    DEFF Research Database (Denmark)

    Saez-de-Ibarra, Andoni; Martinez-Laserna, Egoitz; Koch-Ciobotaru, Cosmin

    2015-01-01

    vehicles, during their main first life application, for providing residential demand response service. The paper considers the decayed characteristics of these batteries and optimizes the rating of such a second life battery energy storage system (SLBESS) for maximizing the economic benefits of the user......The integration of renewable energies and the usage of battery energy storage systems (BESS) into the residential buildings opens the possibility for minimizing the electricity bill for the end-user. This paper proposes the use of batteries that have already been aged while powering electric......'s energy consumption during a period of one year. Furthermore, simulations were performed considering real data of PV generation, consumption, prices taken from the Spanish market and costs of battery and photovoltaic systems....

  7. Residential consumer behavior during and after an energy crisis

    Energy Technology Data Exchange (ETDEWEB)

    Aragao Neto, Raymundo [International Institute for Energy Conservation, Rio de Janeiro, RJ (Brazil)]. E-mail: raragao@iiec.org; Javaroni, Mario Cesar [ECOLUZ Consultores Associados, Rio de Janeiro, RJ (Brazil)]. E-mail: javaroni@ecoluz.com.br

    2004-07-01

    Brazil faced a severe energy crisis during 2001 and 2002 that reflected in all sectors including residential, and obliged to reduce in 20 per cent consumption, considering 2000 basis. New products were largely used, and domestic customs changed. This paper evaluates how residential behaviour has changed during the crisis period, and one year later what initiatives (habits, appliances) remained, considering a survey with 240 consumers. (author)

  8. Changes in energy requirements of the residential sector in India between 1993–94 and 2006–07

    International Nuclear Information System (INIS)

    Das, Aparna; Paul, Saikat Kumar

    2013-01-01

    A substantial amount of primary and secondary energy is consumed by the residential sector. Residential energy consumption includes energy required for construction activity and household consumption. Hence there is a need to quantify energy consumption, its significance and causes. Calculating energy intensity of goods and services is the first step towards quantifying the causes. This research is based on the 115 sector classification input–output tables for India, for 1993–94, 1998–99 and 130 sector classification input–output tables for 2003–04 and 2006–07. Energy intensity of sectors related to household consumption has been calculated to analyze the trend between 1993–94 and 2006–07. Indirect energy requirements of Indian households have been assessed in this study from calculations of total primary energy intensity along with private final consumption expenditure. Results indicate that energy consumption has increased for all categories except “medical care and hygiene”. Percentage increase in indirect primary energy consumed by households is maximum for “house building” and “recreation” categories. Finally a complete decomposition analysis of indirect primary energy consumed by households has been carried out based on changing structural composition of the private final consumption expenditure, energy intensity patterns, per capita expenditures on energy and population. - Highlight: ► Energy intensity trend of goods and services between 1993–94 and 2006–07 presented. ► Analysis of energy consumption by sectors constituting residential use highlighted. ► Per capita and residential indirect energy consumption for main categories presented. ► Decomposition of changes into structure, intensity, activity and population done. ► Percentage increase of embodied energy maximum for house building and recreation.

  9. Prioritizing investment in residential energy efficiency and renewable energy-A case study for the U.S. Midwest

    International Nuclear Information System (INIS)

    Brecha, R.J.; Mitchell, A.; Hallinan, K.; Kissock, K.

    2011-01-01

    Residential building energy use is an important contributor to greenhouse gas emissions and in the United States represents about 20% of total energy consumption. A number of previous macro-scale studies of residential energy consumption and energy-efficiency improvements are mainly concerned with national or international aggregate potential savings. In this paper we look into the details of how a collection of specific homes in one region might reduce energy consumption and carbon emissions, with particular attention given to some practical limits to what can be achieved by upgrading the existing residential building stock. Using a simple model of residential, single-family home construction characteristics, estimates are made for the efficacy of (i) changes to behavioral patterns that do not involve building shell modifications; (ii) straightforward air-infiltration mitigation measures, and (iii) insulation measures. We derive estimates of net lifetime savings resulting from these measures, in terms of energy, carbon emissions and dollars. This study points out explicitly the importance of local and regional patterns in decision-making about what fraction of necessary regional or national emissions reduction might be accomplished through energy-efficiency measures and how much might need to concentrate more heavily on renewable or other carbon-free sources of energy. - Highlights: → Macro-scale estimates of building energy efficiency measures are not adequate for implementing policy decisions. → Measures taken to implement building energy efficiency upgrades will likely encounter practical limits given the existing building stock. → Energy efficiency measures combined with increases in renewable energy use will be necessary for climate change mitigation. → Regional and local variations in building energy use must be taken into account in energy and climate policy.

  10. Energy consumption of the households 1960-1996

    International Nuclear Information System (INIS)

    Bentzen, J.; Engsted, T.

    1999-01-01

    During the 1960s energy consumption of Danish households increased relatively fast, but the oil price shocks of the 1970s and subsequent energy policy changes reversed this development towards stagnation in energy consumption in the recent decades. Using time series data covering the period 1960-1996 the final energy consumption of the residential sector is analysed in the framework of co-integration and error-correction modelling. The long run income and price elasticities are found to be 1.17 and -0.85, respectively, but in the short run energy prices seem to influence consumption less as only income and the weather conditions appear significantly in the short run dynamics of the estimated error-correction model. (au)

  11. Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China

    International Nuclear Information System (INIS)

    Sun, Chuanwang; Ouyang, Xiaoling

    2016-01-01

    Urbanization, one of the most obvious characteristics of economic growth in China, has an apparent “lock-in effect” on residential energy consumption pattern. It is expected that residential sector would become a major force that drives China's energy consumption after urbanization process. We estimate price and expenditure elasticities of residential energy demand using data from China's Residential Energy Consumption Survey (CRECS) that covers households at different income levels and from different regional and social groups. Empirical results from the Almost Ideal Demand System model are in accordance with the basic expectations: the demands for electricity, natural gas and transport fuels are inelastic in the residential sector due to the unreasonable pricing mechanism. We further investigate the sensitivities of different income groups to prices of the three types of energy. Policy simulations indicate that rationalizing energy pricing mechanism is an important guarantee for energy sustainable development during urbanization. Finally, we put forward suggestions on energy pricing reform in the residential sector based on characteristics of China's undergoing urbanization process and the current energy consumption situations.

  12. A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK

    OpenAIRE

    Zhang, Tao; Siebers, Peer-Olaf; Aickelin, Uwe

    2012-01-01

    This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for archetyping residential\\ud energy consumers in the UK by considering property energy efficiency levels, the greenness of household behaviour of using energy, and the duration of property daytime occupancy. With the proposed model, eight archetypes of...

  13. Impact of the Surrounding Built Environment on Energy Consumption in Mixed-Use Building

    Directory of Open Access Journals (Sweden)

    Young-Eun Woo

    2018-03-01

    Full Text Available While a mixture of residential and non-residential uses in urban development has advantages in reducing transportation energy consumption and improving efficiency of land utilization, the patterns of energy consumption in mixed-use buildings are largely unknown. To understand associations between the built environment and energy consumption and to find effective strategies for energy saving, this study aims to examine how the gas and electricity energy consumption of mixed-use properties is influenced by the characteristics of the immediate surroundings of the building as well as by the building’s attributes. The sample for this study is 22,109 mixed-use buildings in Seoul, Korea and the main source of outcome is electricity and gas energy consumption data retrieved from the open system of building data in 2015 and 2016. The regression results showed that a higher proportion of non-residential uses in mixed-use buildings was positively associated with higher electricity consumption overall but that it reduced gas energy use during the winter. In particular, increased restaurant and service use significantly influenced electricity consumption in the buildings. With regard to surrounding built environment, higher impervious surfaces and dense development near the buildings increased the electricity consumption of the buildings but it reduced gas energy consumption. Our results imply that, through the mediating effects of UHIs, the built environment characteristics of immediate surroundings may have indirect effects on energy consumption in mixed-use buildings.

  14. A Hybrid dasymetric and machine learning approach to high-resolution residential electricity consumption modeling

    Energy Technology Data Exchange (ETDEWEB)

    Morton, April M [ORNL; Nagle, Nicholas N [ORNL; Piburn, Jesse O [ORNL; Stewart, Robert N [ORNL; McManamay, Ryan A [ORNL

    2017-01-01

    As urban areas continue to grow and evolve in a world of increasing environmental awareness, the need for detailed information regarding residential energy consumption patterns has become increasingly important. Though current modeling efforts mark significant progress in the effort to better understand the spatial distribution of energy consumption, the majority of techniques are highly dependent on region-specific data sources and often require building- or dwelling-level details that are not publicly available for many regions in the United States. Furthermore, many existing methods do not account for errors in input data sources and may not accurately reflect inherent uncertainties in model outputs. We propose an alternative and more general hybrid approach to high-resolution residential electricity consumption modeling by merging a dasymetric model with a complementary machine learning algorithm. The method s flexible data requirement and statistical framework ensure that the model both is applicable to a wide range of regions and considers errors in input data sources.

  15. Energy consumption characteristics of Guatemalan households

    International Nuclear Information System (INIS)

    Mansilla, C.; Moscoso, M.R.

    1991-01-01

    The sectoral consumption pattern in Guatemala has shown that the residential sector is the major energy consumer. It accounts for 68.9 per cent of total consumption, followed by the transportation sector with 16.6 per cent, and the industrial sector with 9.3 per cent. Because of the importance of the household sector in the national energy balance, the Energy Planning Project carried out a nationwide household survey in 1985 to estimate energy-use patterns. This paper focusses on the findings from the analysis of the 2,500 forms completed during that survey. 4 figs, 1 tab

  16. Canadian energy standards : residential energy code requirements

    Energy Technology Data Exchange (ETDEWEB)

    Cooper, K. [SAR Engineering Ltd., Burnaby, BC (Canada)

    2006-09-15

    A survey of residential energy code requirements was discussed. New housing is approximately 13 per cent more efficient than housing built 15 years ago, and more stringent energy efficiency requirements in building codes have contributed to decreased energy use and greenhouse gas (GHG) emissions. However, a survey of residential energy codes across Canada has determined that explicit demands for energy efficiency are currently only present in British Columbia (BC), Manitoba, Ontario and Quebec. The survey evaluated more than 4300 single-detached homes built between 2000 and 2005 using data from the EnerGuide for Houses (EGH) database. House area, volume, airtightness and construction characteristics were reviewed to create archetypes for 8 geographic areas. The survey indicated that in Quebec and the Maritimes, 90 per cent of houses comply with ventilation system requirements of the National Building Code, while compliance in the rest of Canada is much lower. Heat recovery ventilation use is predominant in the Atlantic provinces. Direct-vent or condensing furnaces constitute the majority of installed systems in provinces where natural gas is the primary space heating fuel. Details of Insulation levels for walls, double-glazed windows, and building code insulation standards were also reviewed. It was concluded that if R-2000 levels of energy efficiency were applied, total average energy consumption would be reduced by 36 per cent in Canada. 2 tabs.

  17. Factors affecting wood energy consumption by U.S. households

    Science.gov (United States)

    Nianfu Song; Francisco X. Aguilar; Stephen R. Shifley; Michael E. Goerndt

    2012-01-01

    About 23% of energy derived from woody sources in the U.S. was consumed by households, of which 70% was used by households in rural areas in 2005. We investigated factors affecting household-level wood energy consumption in the four continental U.S. regions using data from the U.S. Residential Energy Consumption Survey. To account for a large number of zero...

  18. The potential for quantitative sociological research on residential energy consumption in Denmark

    DEFF Research Database (Denmark)

    Hansen, Anders Rhiger

    2013-01-01

    sociological analysis into energy consumption, enabling researchers in Denmark to use information on energy consumption derived from the energy-supply companies. Furthermore, I present a preliminary research design that employs both a quantitative sociological perspective and the newly available data on actual...... energy consumption. The research design contains a descriptive analysis of how energy demand differs between different types of households. In my conclusion, I claim that quantitative sociological research on energy consumption has great potential for obtaining more knowledge on energy consumption......In this paper, I begin with a description of how a sociological perspective can be employed to understand energy consumption while taking into account that energy consumption is embedded in everyday social practices. Next, I describe how newly available data enhances the potential of quantitative...

  19. Estimation of Energy Consumption and Greenhouse Gas Emissions considering Aging and Climate Change in Residential Sector

    Science.gov (United States)

    Lee, M.; Park, C.; Park, J. H.; Jung, T. Y.; Lee, D. K.

    2015-12-01

    The impacts of climate change, particularly that of rising temperatures, are being observed across the globe and are expected to further increase. To counter this phenomenon, numerous nations are focusing on the reduction of greenhouse gas (GHG) emissions. Because energy demand management is considered as a key factor in emissions reduction, it is necessary to estimate energy consumption and GHG emissions in relation to climate change. Further, because South Korea is the world's fastest nation to become aged, demographics have also become instrumental in the accurate estimation of energy demands and emissions. Therefore, the purpose of this study is to estimate energy consumption and GHG emissions in the residential sectors of South Korea with regard to climate change and aging to build more accurate strategies for energy demand management and emissions reduction goals. This study, which was stablished with 2010 and 2050 as the base and target years, respectively, was divided into a two-step process. The first step evaluated the effects of aging and climate change on energy demand, and the second estimated future energy use and GHG emissions through projected scenarios. First, aging characteristics and climate change factors were analyzed by using the logarithmic mean divisia index (LMDI) decomposition analysis and the application of historical data. In the analysis of changes in energy use, the effects of activity, structure, and intensity were considered; the degrees of contribution were derived from each effect in addition to their relations to energy demand. Second, two types of scenarios were stablished based on this analysis. The aging scenarios are business as usual and future characteristics scenarios, and were used in combination with Representative Concentration Pathway (RCP) 2.6 and 8.5. Finally, energy consumption and GHG emissions were estimated by using a combination of scenarios. The results of these scenarios show an increase in energy consumption

  20. A DFuzzy-DAHP Decision-Making Model for Evaluating Energy-Saving Design Strategies for Residential Buildings

    Directory of Open Access Journals (Sweden)

    Yu-Lung Chen

    2012-11-01

    Full Text Available The construction industry is a high-pollution and high-energy-consumption industry. Energy-saving designs for residential buildings not only reduce the energy consumed during construction, but also reduce long-term energy consumption in completed residential buildings. Because building design affects investment costs, designs are often influenced by investors’ decisions. A set of appropriate decision-support tools for residential buildings are required to examine how building design influences corporations externally and internally. From the perspective of energy savings and environmental protection, we combined three methods to develop a unique model for evaluating the energy-saving design of residential buildings. Among these methods, the Delphi group decision-making method provides a co-design feature, the analytical hierarchy process (AHP includes multi-criteria decision-making techniques, and fuzzy logic theory can simplify complex internal and external factors into easy-to-understand numbers or ratios that facilitate decisions. The results of this study show that incorporating solar building materials, double-skin facades, and green roof designs can effectively provide high energy-saving building designs.

  1. Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior

    International Nuclear Information System (INIS)

    Kavousian, Amir; Rajagopal, Ram; Fischer, Martin

    2013-01-01

    We propose a method to examine structural and behavioral determinants of residential electricity consumption, by developing separate models for daily maximum (peak) and minimum (idle) consumption. We apply our method on a data set of 1628 households' electricity consumption. The results show that weather, location and floor area are among the most important determinants of residential electricity consumption. In addition to these variables, number of refrigerators and entertainment devices (e.g., VCRs) are among the most important determinants of daily minimum consumption, while number of occupants and high-consumption appliances such as electric water heaters are the most significant determinants of daily maximum consumption. Installing double-pane windows and energy-efficient lights helped to reduce consumption, as did the energy-conscious use of electric heater. Acknowledging climate change as a motivation to save energy showed correlation with lower electricity consumption. Households with individuals over 55 or between 19 and 35 years old recorded lower electricity consumption, while pet owners showed higher consumption. Contrary to some previous studies, we observed no significant correlation between electricity consumption and income level, home ownership, or building age. Some otherwise energy-efficient features such as energy-efficient appliances, programmable thermostats, and insulation were correlated with slight increase in electricity consumption. - Highlights: • Weather, location and floor area are the most important determinants of residential electricity use. • Daily minimum and maximum are explained by different factors. • Number of refrigerators and entertainment devices explain daily minimum the best. • Number of occupants and high-consumption appliances explain daily maximum the best. • Other factors such as energy efficient features and household's socioeconomic status are examined

  2. A Prediction Mechanism of Energy Consumption in Residential Buildings Using Hidden Markov Model

    Directory of Open Access Journals (Sweden)

    Israr Ullah

    2018-02-01

    Full Text Available Internet of Things (IoT is considered as one of the future disruptive technologies, which has the potential to bring positive change in human lifestyle and uplift living standards. Many IoT-based applications have been designed in various fields, e.g., security, health, education, manufacturing, transportation, etc. IoT has transformed conventional homes into Smart homes. By attaching small IoT devices to various appliances, we cannot only monitor but also control indoor environment as per user demand. Intelligent IoT devices can also be used for optimal energy utilization by operating the associated equipment only when it is needed. In this paper, we have proposed a Hidden Markov Model based algorithm to predict energy consumption in Korean residential buildings using data collected through smart meters. We have used energy consumption data collected from four multi-storied buildings located in Seoul, South Korea for model validation and results analysis. Proposed model prediction results are compared with three well-known prediction algorithms i.e., Support Vector Machine (SVM, Artificial Neural Network (ANN and Classification and Regression Trees (CART. Comparative analysis shows that our proposed model achieves 2.96 % better than ANN results in terms of root mean square error metric, 6.09 % better than SVM and 9.03 % better than CART results. To further establish and validate prediction results of our proposed model, we have performed temporal granularity analysis. For this purpose, we have evaluated our proposed model for hourly, daily and weekly data aggregation. Prediction accuracy in terms of root mean square error metric for hourly, daily and weekly data is 2.62, 1.54 and 0.46, respectively. This shows that our model prediction accuracy improves for coarse grain data. Higher prediction accuracy gives us confidence to further explore its application in building control systems for achieving better energy efficiency.

  3. Rural residential energy consumption not electrified in the Municipality of Petrolina-PE, Brazil; Consumo energetico residencial rural nao eletrificado do municipio de Petrolina-PE

    Energy Technology Data Exchange (ETDEWEB)

    Borges Neto, Manuel Rangel; Lopes, Luiz Carlos Nascimento [Centro Federal de Educacao Tecnologica de Petrolina (CEFET/PET), CE (Brazil); Carvalho, Paulo Cesar Marques de [Universidade Federal do Ceara (PPGEE/UFC), Fortaleza (Brazil). Programa de Pos Graduacao em Engenharia Eletrica

    2006-07-01

    This paper brings a study about the energetic profile consumption of the residential rural off-grid population in Petrolina- PE municipality. A community was chose as a sample and trough some interviews it was possible to get enough data to estimate the energetic consumption of this segment in the county. In conclusion it has a specific annual consumption of 0,125 tep/hab, 5.9% higher than the Brazilian average and that the firewood is the source to 91,87% of the energy final use. (author)

  4. Advancing aging society and its effect on the residential use energy demand; Shintensuru koreika shakai to kateiyo energy juyo eno eikyo

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-07-01

    The paper analyzed various factors regulating the energy demand in aged households and viewed the future residential use energy demand in the aging society. In Part 1, based on the family budget survey annual report, a study was made of the energy consumption situation of aged people and the trend of the future residential energy consumption. In Part 2, a study was conducted based on survey data on the U.K., France, Sweden and Denmark. In Western countries which are the developed countries of aging, the energy conservation policy effectively worked for the space heating demand which is highest of all, and factors of the energy consumption increase by aging were absorbed. However, since in Japan, aging is rapidly advancing and further there are relatively more factors which connect to an increase in energy consumption in aged households as compared with Western countries, it is thought that Japan is in a situation where the energy consumption increases more often, influenced by aged households. 91 refs., 130 figs., 41 tabs.

  5. Effects of Vernacular Climatic Strategies (VCS on Energy Consumption in Common Residential Buildings in Southern Iran: The Case Study of Bushehr City

    Directory of Open Access Journals (Sweden)

    Amin Mohammadi

    2017-10-01

    Full Text Available This study aims to use the vernacular climatic strategies (VCS of traditional dwellings in Bushehr, in the common residential buildings of this southern Iranian city (which is characterized by its hot and humid climate, and provide answers to the following question: What effects do VCS have in terms of energy consumption in these buildings? This study has been conducted at three levels. At the first level, three context-based climatic solutions including shading, natural ventilation, and insulation of external walls and roofs were identified and selected based on bibliographic study. At the second level, a case study reflecting the current typology of common residential buildings in Bushehr city was selected. A combination of the mentioned climatic solutions was used in the baseline case to create a developed model. Based on the space layout of the developed model and some design criteria, a series of proposed models was also created and modeled. The selected case study building was also used to establish a local weather station at a height of 12 m based on the roof, collecting local climate data which were then used for simulation to improve simulation accuracy. Finally, all models were simulated with the use of Design Builder software under natural ventilation conditions during moderate climatic periods of the year while split air-conditioning systems were used during hot and humid periods. The results showed reductions of 16% in energy consumption and 22% in CO2 emissions for the developed model, and reductions of 24–26% in energy consumption and 32–34% in CO2 emissions for the proposed models, as compared with the baseline model. Furthermore, all proposed models achieved lower annual energy consumption when compared with a selection of international sustainable low energy standards and domestic energy performance references for the Middle East region. Further studies are also recommended, and there is potential for combining VCS with

  6. Influence of India’s transformation on residential energy demand

    International Nuclear Information System (INIS)

    Bhattacharyya, Subhes C.

    2015-01-01

    Highlights: • The middle income group emerges as the dominant segment by 2030. • Commercial residential energy demand increases 3–4 folds compared to 2010. • Electricity and LPG demand grows above 6% per year in the reference scenario. • India faces the potential of displacing the domination of biomass by 2030. - Abstract: India’s recent macro-economic and structural changes are transforming the economy and bringing significant changes to energy demand behaviour. Life-style and consumption behaviour are evolving rapidly due to accelerated economic growth in recent times. The population structure is changing, thereby offering the country with the potential to reap the population dividend. The country is also urbanising rapidly, and the fast-growing middle class segment of the population is fuelling consumerism by mimicking international life-styles. These changes are likely to have significant implications for energy demand in the future, particularly in the residential sector. Using the end-use approach of demand analysis, this paper analyses how residential energy demand is likely to evolve as a consequence of India’s transformation and finds that by 2030, India’s commercial energy demand in the residential sector can quadruple in the high scenario compared to the demand in 2010. Demand for modern fuels like electricity and liquefied petroleum gas is likely to grow at a faster rate. However, there is a window of opportunity to better manage the evolution of residential demand in India through energy efficiency improvement

  7. Energy consumption and energy saving : their evolution in Spain and other countries

    International Nuclear Information System (INIS)

    Serrano Martinez, F.

    1995-01-01

    The article shows the development of energy consumption since the seventies in three main energy consuming sectors: industry, residential services and transport. While the energy intensity and consumption in the industrial sector have considerably decreased- taking 100 as index in 1973, this was 68 in 1988-in the other sectors, the increase of comfort in houses and business offices, as well as the number or automobiles, have made consumption in these sectors increase despite the efforts made in the improvement of return of installations and reduction of cars consumption. In the industry, large energy savings coincide with remarkable technological innovations and for the future, the achieved savings and future trends, as well as conditions for the energy saving, are analyzed for the rest of the sectors. (Author)

  8. Long-term energy savings and greenhouse gas emission reductions in the Swiss residential sector

    International Nuclear Information System (INIS)

    Siller, Thomas; Kost, Michael; Imboden, Dieter

    2007-01-01

    The aim of this paper is to explore the possibilities to reach two long-term targets regarding energy consumption and greenhouse gas emissions of the Swiss residential building stock: a reduction of the final energy consumption by a factor of 3 and of CO 2 emissions by a factor of 5 until 2050. A model is constructed to describe the dynamics of the energy-relevant properties of the residential building stock. Appropriate scenarios are discussed in terms of decisions made during construction or renovation of residential buildings which affect heat demand and determine the energy carriers used for heating and hot water generation. We show that both targets could be reached, although ambitious efforts are necessary. The central element of a successful strategy is to reduce the specific heat demand of existing buildings during renovation and to substitute the heating and hot water systems by less carbon intensive ones. Our results suggest that there is more flexibility to reach the emission target than the energy reduction target

  9. State energy data report 1996: Consumption estimates

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  10. State energy data report 1996: Consumption estimates

    International Nuclear Information System (INIS)

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA's energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs

  11. Residential and Transport Energy Use in India: Past Trend and Future Outlook

    Energy Technology Data Exchange (ETDEWEB)

    de la Rue du Can, Stephane; Letschert, Virginie; McNeil, Michael; Zhou, Nan; Sathaye, Jayant

    2009-03-31

    The main contribution of this report is to characterize the underlying residential and transport sector end use energy consumption in India. Each sector was analyzed in detail. End-use sector-level information regarding adoption of particular technologies was used as a key input in a bottom-up modeling approach. The report looks at energy used over the period 1990 to 2005 and develops a baseline scenario to 2020. Moreover, the intent of this report is also to highlight available sources of data in India for the residential and transport sectors. The analysis as performed in this way reveals several interesting features of energy use in India. In the residential sector, an analysis of patterns of energy use and particular end uses shows that biomass (wood), which has traditionally been the main source of primary energy used in households, will stabilize in absolute terms. Meanwhile, due to the forces of urbanization and increased use of commercial fuels, the relative significance of biomass will be greatly diminished by 2020. At the same time, per household residential electricity consumption will likely quadruple in the 20 years between 2000 and 2020. In fact, primary electricity use will increase more rapidly than any other major fuel -- even more than oil, in spite of the fact that transport is the most rapidly growing sector. The growth in electricity demand implies that chronic outages are to be expected unless drastic improvements are made both to the efficiency of the power infrastructure and to electric end uses and industrial processes. In the transport sector, the rapid growth in personal vehicle sales indicates strong energy growth in that area. Energy use by cars is expected to grow at an annual growth rate of 11percent, increasing demand for oil considerably. In addition, oil consumption used for freight transport will also continue to increase .

  12. Impacts of Urbanization on Water Use and Energy-related CO2 Emissions of Residential Consumption in China: A Spatio-temporal Analysis during 2003-2012

    Science.gov (United States)

    Cai, J.; Yin, H.; Varis, O.

    2017-12-01

    China has been undergoing unprecedented urbanization since the 1978 economic reform, especially with the present growth rate for the last decade at approximately 20 million people per year. This rapid and perennial progress has been raising soaring concerns on environmental sustainability, due to a severe nationwide deterioration of China's environment and ecosystems in the context of ceaselessly increasing demand for water and energy. It is therefore of prime necessity and importance to comprehend China's water and energy security under the effect of its dramatic demographic changes. Analyses of this issue still remain few and far between, and a comprehensive picture has not been available that would help understand China's recent development in urbanization, its spatial features and links to water and energy security, particularly regarding residential consumption, as well as national policy-making in the context of its water-energy nexus. Consequently, we addressed these knowledge gaps by performing an integrated and quantitative spatio-temporal analysis of the impacts of China's urbanization on water use of residential consumption (WURC) and energy-related CO2 emissions of residential consumption (ERCERC). We proposed per capita WURC and per capita ERCERC as potential national indicators for policy-making targets of its water and energy security. Our study, conducted over the period 2003-2012, for the first time demonstrated strong evidence of the significant impacts of China's urbanization on WURC and ERCERC. Its highlights can be portrayed as follows: (1) rural areas dominated per capita WURC at both national and provincial scales, with a significant increasing trend, while WURC share and per capita WURC in urban areas decreased, despite the fact that the urban population was soaring; (2) per capita ERCERC was significantly augmented in both urban and rural areas nationwide; and (3) per capita WURC and per capita ERCERC had a significant positive correlation

  13. Future Air Conditioning Energy Consumption in Developing Countriesand what can be done about it: The Potential of Efficiency in theResidential Sector

    Energy Technology Data Exchange (ETDEWEB)

    McNeil, Michael A.; Letschert, Virginie E.

    2007-05-01

    The dynamics of air conditioning are of particular interestto energy analysts, both because of the high energy consumption of thisproduct, but also its disproportionate impact on peak load. This paperaddresses the special role of this end use as a driver of residentialelectricity consumption in rapidly developing economies. Recent historyhas shown that air conditioner ownership can grow grows more rapidly thaneconomic growth in warm-climate countries. In 1990, less than a percentof urban Chinese households owned an air conditioner; by 2003 this numberrose to 62 percent. The evidence suggests a similar explosion of airconditioner use in many other countries is not far behind. Room airconditioner purchases in India are currently growing at 20 percent peryear, with about half of these purchases attributed to the residentialsector. This paper draws on two distinct methodological elements toassess future residential air conditioner 'business as usual' electricityconsumption by country/region and to consider specific alternative 'highefficiency' scenarios. The first component is an econometric ownershipand use model based on household income, climate and demographicparameters. The second combines ownership forecasts and stock accountingwith geographically specific efficiency scenarios within a uniqueanalysis framework (BUENAS) developed by LBNL. The efficiency scenariomodule considers current efficiency baselines, available technologies,and achievable timelines for development of market transformationprograms, such as minimum efficiency performance standards (MEPS) andlabeling programs. The result is a detailed set of consumption andemissions scenarios for residential air conditioning.

  14. Modeling and analysis of long term energy demands in residential sector of pakistan

    International Nuclear Information System (INIS)

    Rashid, T.; Sahir, M.H.

    2015-01-01

    Residential sector is the core among the energy demand sectors in Pakistan. Currently, various techniques are being used worldwide to assess future energy demands including integrated system modeling (ISM). Therefore, the current study is focused on implementation of ISM approach for future energy demand analysis of Pakistan's residential sector in terms of increase in population, rapid urbanization, household size and type, and increase/decrease in GDP. A detailed business-as-usual (BAU) model is formulated in TIMES energy modeling framework using different factors like growth in future energy services, end-use technology characterization, and restricted fuel supplies. Additionally, the developed model is capable to compare the projected energy demand under different scenarios e.g. strong economy, weak economy and energy efficiency. The implementation of ISM proved a viable approach to predict the future energy demands of Pakistan's residential sector. Furthermore, the analysis shows that the energy consumption in the residential sector would be 46.5 Mtoe (Million Ton of Oil Equivalent) in 2040 compared to 23 Mtoe of the base year (2007) along with 600% increase in electricity demands. The study further maps the potential residential energy policies to congregate the future demands. (author)

  15. Profitability Analysis of Residential Wind Turbines with Battery Energy Storage

    Science.gov (United States)

    She, Ying; Erdem, Ergin; Shi, Jing

    Residential wind turbines are often accompanied by an energy storage system for the off-the-grid users, instead of the on-the-grid users, to reduce the risk of black-out. In this paper, we argue that residential wind turbines with battery energy storage could actually be beneficial to the on-the-grid users as well in terms of monetary gain from differential pricing for buying electricity from the grid and the ability to sell electricity back to the grid. We develop a mixed-integer linear programming model to maximize the profit of a residential wind turbine system while meeting the daily household electricity consumption. A case study is designed to investigate the effects of differential pricing schemes and sell-back schemes on the economic output of a 2-kW wind turbine with lithium battery storage. Overall, based on the current settings in California, a residential wind turbine with battery storage carries more economical benefits than the wind turbine alone.

  16. Energy data sourcebook for the US residential sector

    Energy Technology Data Exchange (ETDEWEB)

    Wenzel, T.P.; Koomey, J.G.; Sanchez, M. [and others

    1997-09-01

    Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment efficiency; historical and current appliance and equipment market shares; appliances and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl. gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

  17. Forecast of the energy final consumption for Minas Gerais State

    International Nuclear Information System (INIS)

    Almeida, P.E.F. de; Bechtlufft, P.C.T.; Araujo, M.E.A.; Vasconcelos, E.C.; Las Casas, H.B. de; Monteiro, M.A.G.

    1990-01-01

    This paper is included among the activities of the Energy Planning of Minas Gerais State and presents a forecast of the energy final consumption for the State up to year 2010. Two Scenarios are presented involving brazilian economy's evolution, the State's demography and its sectors: residential, services, transportation, agriculture and cattle-breeding and industry. Finally, it shows two forecast on energy final consumption for Minas Gerais State. (author)

  18. Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model

    International Nuclear Information System (INIS)

    Zhu Qin; Peng Xizhe; Wu Kaiya

    2012-01-01

    Based on the input–output model and the comparable price input–output tables, the current paper investigates the indirect carbon emissions from residential consumption in China in 1992–2005, and examines the impacts on the emissions using the structural decomposition method. The results demonstrate that the rise of the residential consumption level played a dominant role in the growth of residential indirect emissions. The persistent decline of the carbon emission intensity of industrial sectors presented a significant negative effect on the emissions. The change in the intermediate demand of industrial sectors resulted in an overall positive effect, except in the initial years. The increase in population prompted the indirect emissions to a certain extent; however, population size is no longer the main reason for the growth of the emissions. The change in the consumption structure showed a weak positive effect, demonstrating the importance for China to control and slow down the increase in the emissions while in the process of optimizing the residential consumption structure. The results imply that the means for restructuring the economy and improving efficiency, rather than for lowering the consumption scale, should be adopted by China to achieve the targets of energy conservation and emission reduction. - Highlights: ► We build the input–output model of indirect carbon emissions from residential consumption. ► We calculate the indirect emissions using the comparable price input–output tables. ► We examine the impacts on the indirect emissions using the structural decomposition method. ► The change in the consumption structure showed a weak positive effect on the emissions. ► China's population size is no longer the main reason for the growth of the emissions.

  19. Energy consumption and conservation, evaluation; Consommation et economies d'energie, un tour d'horizon

    Energy Technology Data Exchange (ETDEWEB)

    Acket, C

    2006-04-15

    The energy consumption is increasing of more than 1% each year. It is necessary to slow down this growth and much better to inverse it. Observing the main consumption posts, energy saving is possible at short dated for the residential sector and medium and long dated for the transports and the industry. Anyway the individual behaviors are essential. The author presents the situation for each posts, providing data on the energy consumption and saving and recommendations. (A.L.B.)

  20. A cultural model of household energy consumption

    International Nuclear Information System (INIS)

    Lutzenhiser, Loren

    1992-01-01

    In this paper, we consider the development of demand-side research, from an early interest in conservation behavior to a later focus on physical, economic, psychological and social models of energy consumption. Unfortunately, none of these models account satisfactorily for measured energy consumption in the residential sector. Growing interest in the end-uses of energy (e.g. in support of load forecasting, demand-side management and least-cost utility planning), increasing international studies of energy use, and continuing work in the energy and lifestyles research tradition now support an emerging cultural perspective on household energy use. The ecological foundations of the cultural model and its applications in energy research are discussed, along with some of the analytic consequences of this approach. (author)

  1. Widening the scope? How intermediary actors can shape energy consumption

    DEFF Research Database (Denmark)

    Maneschi, Davide

    2013-01-01

    This paper deals with energy consumption in the residential sector and with the implementation of measures to reduce it. While most research dealing with energy consumption has targeted factors and drivers at the individual user level, more recent works have highlighted collective aspects...... of (energy) consumption, both to explain the resilience of consumption patterns and to identify leverage points for the reduction of energy use. One understudied aspect of this discussion is the way “intermediary” actors – those actors who are neither policy makers, nor users, nor energy providers...... – influence energy consumption. This paper presents a review of the literature on intermediaries, providing an overview of their roles and contextualizing their functions in energy efficiency improvements. The review shows how the concept of intermediaries has been used in research dealing with innovation...

  2. AWARENESS ON ENERGY MANAGEMENT IN RESIDENTIAL BUILDINGS: A CASE STUDY IN KAJANG AND PUTRAJAYA

    Directory of Open Access Journals (Sweden)

    MAYTHAM S. AHMED

    2017-05-01

    Full Text Available This paper presents a case study on a survey and measurement being carried out for the purpose of determining residential electric power consumption and awareness toward smart energy management system in the areas of Putrajaya and Kajang, Malaysia. Questionnaires were developed with 37 questions grouped in 5 different sections related to home appliance information. Data was collected from a sample size of 384 respondents with confidence level of 95%. The accuracy of the percentage energy usage data were analysed by applying the SPSS software. Actual residential electric power consumption was measured by using a power quality analyser to determine the total power consumption at weekday and weekend and power consumption of each electrical appliance. The measurement results showed that the average energy consumption is 25.8 kWh/day during weekend and 21.9 kWh/day during weekdays with 11.5 kWh/day for the air conditioner only. The survey results revealed that 89.06% of the respondents expressed awareness toward household power consumption and that they are willing to install home automation system to reducing their electricity bill.

  3. Major models and data sources for residential and commercial sector energy conservation analysis. Final report

    Energy Technology Data Exchange (ETDEWEB)

    1980-09-01

    Major models and data sources are reviewed that can be used for energy-conservation analysis in the residential and commercial sectors to provide an introduction to the information that can or is available to DOE in order to further its efforts in analyzing and quantifying their policy and program requirements. Models and data sources examined in the residential sector are: ORNL Residential Energy Model; BECOM; NEPOOL; MATH/CHRDS; NIECS; Energy Consumption Data Base: Household Sector; Patterns of Energy Use by Electrical Appliances Data Base; Annual Housing Survey; 1970 Census of Housing; AIA Research Corporation Data Base; RECS; Solar Market Development Model; and ORNL Buildings Energy Use Data Book. Models and data sources examined in the commercial sector are: ORNL Commercial Sector Model of Energy Demand; BECOM; NEPOOL; Energy Consumption Data Base: Commercial Sector; F.W. Dodge Data Base; NFIB Energy Report for Small Businesses; ADL Commercial Sector Energy Use Data Base; AIA Research Corporation Data Base; Nonresidential Buildings Surveys of Energy Consumption; General Electric Co: Commercial Sector Data Base; The BOMA Commercial Sector Data Base; The Tishman-Syska and Hennessy Data Base; The NEMA Commercial Sector Data Base; ORNL Buildings Energy Use Data Book; and Solar Market Development Model. Purpose; basis for model structure; policy variables and parameters; level of regional, sectoral, and fuels detail; outputs; input requirements; sources of data; computer accessibility and requirements; and a bibliography are provided for each model and data source.

  4. Nudging and residential energy use. Its potential for the EPC

    OpenAIRE

    Taranu, Victoria; Verbeeck, Griet

    2015-01-01

    The implications of nudging in reducing residential energy demand and its potential for the EPC. Recently there is an increasing interest among policy makers, researchers and social marketing activists towards nudging. This approach takes into account the heuristic thinking of the individuals, who do not always act according to utility maximization principles. Current policies aiming the reduction of energy consumption include soft policies of libertarian pa...

  5. Specifying residential retrofit packages for 30 % reductions in energy consumption in hot-humid climate zones

    Energy Technology Data Exchange (ETDEWEB)

    Burgett, J.M.; Chini, A.R.; Oppenheim, P. [University of Florida, 573 Rinker Hall, Newell Drive, Gainesville, FL 32611 (United States)

    2013-08-15

    The purpose of this research was to demonstrate the application of energy simulation as an effective tool for specifying cost-effective residential retrofit packages that will reduce energy consumption by 30 %. Single-family homes in the hot-humid climate type of the Southeastern USA were used to demonstrate the application. US census data from both state and federal studies were used to create 12 computer simulation homes representing the most common characteristics of single-family houses specific to this area. Well-recognized energy efficiency measures (EEMs) were simulated to determine their cumulative energy reduction potential. Detailed cost estimates were created for cost-to-benefit analysis. For each of the 12 simulated homes, 4 packages of EEMs were created. The four packages provided home owners options for reducing their energy by 30 % along with the estimated up-front cost and simple payback periods. The simple payback period was used to determine how cost-effective a measure was. The packages are specific to a geographic area to provide a higher degree of confidence in the projected cost and energy savings. The study provides a generic methodology to create a similar 30 % energy reduction packages for other locations and a detailed description of a case study to serve as an example. The study also highlights the value that computer simulation models can have to develop energy efficiency packages cost-effectively and specific to home owner's location and housing type.

  6. Actual energy consumption in dwellings. The effect of energy performance regulations and occupant behaviour

    Energy Technology Data Exchange (ETDEWEB)

    Guerra Santin, O.

    2010-10-19

    Residential buildings have continuously improved in energy efficiency, partly as a consequence of the introduction of energy regulations in many countries. Although better thermal properties and systems efficiency have lowered energy consumption for space heating in recent decades, substantial differences in energy consumption in similar dwellings are still being observed. These differences in consumption are thought to be caused by differences in occupancy patterns, by quality of construction and by rebound effects. This research addresses the effect of energy performance regulations and occupant behavior on energy consumption for space and water heating in dwellings built after the introduction of the energy performance regulations in the Netherlands. The results of this research show that improving the energy efficiency of buildings alone is not enough to decrease that energy consumption. The large differences found in the use of dwellings indicate that, especially in energy efficient houses, occupant behavior provides an opportunity for further reductions in the energy consumption for space heating which could boost the efforts to conserve energy worldwide.

  7. Residential electricity consumption in Portugal: Findings from top-down and bottom-up models

    International Nuclear Information System (INIS)

    Wiesmann, Daniel; Lima Azevedo, Ines; Ferrao, Paulo; Fernandez, John E.

    2011-01-01

    An econometric study of the Portuguese residential electricity consumption is presented, with a focus on the influence of dwelling characteristics on consumption. The relationship between the dwelling and household characteristics on per capita residential electricity consumption is estimated at two different scales, involving two distinct databases: the first includes data at the municipality level for 2001, the second is the most recent Portuguese consumer expenditure survey that was collected in 2005 and 2006. The results of the analysis at both scales are consistent and indicate that household and dwelling characteristics have a significant influence on residential electricity consumption. Our results show that in Portugal the direct effect of income on electricity consumption is low and becomes smaller when more relevant control variables are included in the analysis. Future demand of electricity in Portugal will be significantly influenced by trends in socioeconomic factors as well as changes in the building stock. These trends should be taken in consideration in the formulation of policy measures to reduce electricity consumption. - Research highlights: → Econometric study of per capita residential electricity consumption in Portugal. → Comparing models at two levels of aggregation: by municipality and by household. → Using proxies for the dwelling characteristics on the municipality level. → Results from both scales are consistent. → Income elasticity is low and the influence of dwelling characteristics is significant.

  8. Residential electricity consumption in Portugal: Findings from top-down and bottom-up models

    Energy Technology Data Exchange (ETDEWEB)

    Wiesmann, Daniel, E-mail: daniel.wiesmann@ist.utl.p [Instituto Superior Tecnico, Technical University of Lisbon, Avenida Rovisco Pais 1, 1049-001 Lisbon (Portugal); Lima Azevedo, Ines [Department of Engineering and Public Policy, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 (United States); Ferrao, Paulo [Instituto Superior Tecnico, Technical University of Lisbon, Avenida Rovisco Pais 1, 1049-001 Lisbon (Portugal); Fernandez, John E. [Department of Architecture, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139 (United States)

    2011-05-15

    An econometric study of the Portuguese residential electricity consumption is presented, with a focus on the influence of dwelling characteristics on consumption. The relationship between the dwelling and household characteristics on per capita residential electricity consumption is estimated at two different scales, involving two distinct databases: the first includes data at the municipality level for 2001, the second is the most recent Portuguese consumer expenditure survey that was collected in 2005 and 2006. The results of the analysis at both scales are consistent and indicate that household and dwelling characteristics have a significant influence on residential electricity consumption. Our results show that in Portugal the direct effect of income on electricity consumption is low and becomes smaller when more relevant control variables are included in the analysis. Future demand of electricity in Portugal will be significantly influenced by trends in socioeconomic factors as well as changes in the building stock. These trends should be taken in consideration in the formulation of policy measures to reduce electricity consumption. - Research highlights: {yields} Econometric study of per capita residential electricity consumption in Portugal. {yields} Comparing models at two levels of aggregation: by municipality and by household. {yields} Using proxies for the dwelling characteristics on the municipality level. {yields} Results from both scales are consistent. {yields} Income elasticity is low and the influence of dwelling characteristics is significant.

  9. Modeling hourly consumption of electricity and district heat in non-residential buildings

    International Nuclear Information System (INIS)

    Kipping, A.; Trømborg, E.

    2017-01-01

    Models for hourly consumption of heat and electricity in different consumer groups on a regional level can yield important data for energy system planning and management. In this study hourly meter data, combined with cross-sectional data derived from the Norwegian energy label database, is used to model hourly consumption of both district heat and electrical energy in office buildings and schools which either use direct electric heating (DEH) or non-electric hydronic heating (OHH). The results of the study show that modeled hourly total energy consumption in buildings with DEH and in buildings with OHH (supplied by district heat) exhibits differences, e.g. due to differences in heat distribution and control systems. In a normal year, in office buildings with OHH the main part of total modeled energy consumption is used for electric appliances, while in schools with OHH the main part is used for heating. In buildings with OHH the share of modeled annual heating energy is higher than in buildings with DEH. Although based on small samples our regression results indicate that the presented method can be used for modeling hourly energy consumption in non-residential buildings, but also that larger samples and additional cross-sectional information could yield improved models and more reliable results. - Highlights: • Schools with district heating (DH) tend to use less night-setback. • DH in office buildings tends to start earlier than direct electric heating (DEH). • In schools with DH the main part of annual energy consumption is used for heating. • In office buildings with DH the main part is used for electric appliances. • Buildings with DH use a larger share of energy for heating than buildings with DEH.

  10. Energy consumptions in existing buildings; Les consommations d'energie des batiments existants

    Energy Technology Data Exchange (ETDEWEB)

    Nuss, St. [Ecole Nationale Superieure des Arts et Industries de Strasbourg, 78 - Saint-Remy-Les-Chevreuse (France)]|[Costic, 78 - Sainte Remy les Chevreuses (France)

    2002-05-01

    This document presents a sectoral analysis of the energy consumptions in existing French buildings: 1) - residential sector: social buildings, private dwellings; 2) - tertiary sector: office buildings, hotels, commercial buildings, school buildings, hospitals; 3) - industry; 4) - general status. (J.S.)

  11. Energy consumption and economic growth: A causality analysis for Greece

    International Nuclear Information System (INIS)

    Tsani, Stela Z.

    2010-01-01

    This paper investigates the causal relationship between aggregated and disaggregated levels of energy consumption and economic growth for Greece for the period 1960-2006 through the application of a later development in the methodology of time series proposed by Toda and Yamamoto (1995). At aggregated levels of energy consumption empirical findings suggest the presence of a uni-directional causal relationship running from total energy consumption to real GDP. At disaggregated levels empirical evidence suggests that there is a bi-directional causal relationship between industrial and residential energy consumption to real GDP but this is not the case for the transport energy consumption with causal relationship being identified in neither direction. The importance of these findings lies on their policy implications and their adoption on structural policies affecting energy consumption in Greece suggesting that in order to address energy import dependence and environmental concerns without hindering economic growth emphasis should be put on the demand side and energy efficiency improvements.

  12. Cowichan Valley energy mapping and modelling. Report 2 - Energy consumption and density mapping. Final report. [Vancouver Island, Canada

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-06-15

    The driving force behind the Integrated Energy Mapping and Analysis project was the identification and analysis of a suite of pathways that the Cowichan Valley Regional District (CVRD) can utilise to increase its energy resilience, as well as reduce energy consumption and GHG emissions, with a primary focus on the residential sector. Mapping and analysis undertaken will support provincial energy and GHG reduction targets, and the suite of pathways outlined will address a CVRD internal target that calls for 75% of the region's energy within the residential sector to come from locally sourced renewables by 2050. The target has been developed as a mechanism to meet resilience and climate action target. The maps and findings produced are to be integrated as part of a regional policy framework currently under development. The second task in the overall project was the mapping of regional energy consumption density. Combined with the findings from task one, this enables comparison of energy consumption density per area unit with the renewable energy resource availability. In addition, it provides an energy baseline against which future energy planning activities can be evaluated. The mapping of the energy consumption density was divided into categories to correspond with local British Columbia Assessment Authority (BCAA) reporting. The residential sub-categories were comprised of single family detached dwellings, single family attached dwellings, apartments, and moveable dwellings. For commercial and industrial end-users the 14 sub-categories are also in line with BCAA as well as the on-going provincial TaNDM project of which the CVRD is a partner. The results of task two are documented in this report. (LN)

  13. Energy Performance Certification of Faculty Buildings in Spain: The gap between estimated and real energy consumption

    International Nuclear Information System (INIS)

    Herrando, María; Cambra, David; Navarro, Marcos; Cruz, Lucio de la; Millán, Gema; Zabalza, Ignacio

    2016-01-01

    Highlights: • Most of the Faculty Buildings studied are within the average of CO_2 emissions. • Academic and Research buildings have a similar simulated energy consumption. • Several restrictions found in the official Energy Performance Certification tool. • Average deviation of 30% between estimated and real energy consumption. • Electrical equipment and user behaviour notably increase the energy performance gap. - Abstract: A systematic method has been established to perform and analyse in detail the Energy Performance Certification of 21 Faculty Buildings located at the University of Zaragoza (Spain), according to the transposition of Directive 2010/31/EU. First of all, the problem background and a review of the state-of-the-art of the energy certification in buildings is outlined, regarding both the actual state of the Government regulations and the studies undertaken in several countries to assess the energy performance of different types of buildings, residential and non-residential. A summary of the causes found in other studies for the discrepancies between the estimated (by simulation) and actual energy consumption is shown which is afterwards tested and compared with the results found in the present study. Thereafter, the method followed to undertake the buildings’ Energy Performance Certification is explained, and the main results found together with the discussion are detailed, comparing actual vs. estimated energy consumption in the different case studies and proposing reasons for these deviations. The energy consumption breakdown by uses for several buildings is also analysed, and potential improvements for the simulation software are assessed.

  14. Energy Savings Potential and Opportunities for High-Efficiency Electric Motors in Residential and Commercial Equipment

    Energy Technology Data Exchange (ETDEWEB)

    Goetzler, William [Navigant Consulting, Inc., Burlington, MA (United States); Sutherland, Timothy [Navigant Consulting, Inc., Burlington, MA (United States); Reis, Callie [Navigant Consulting, Inc., Burlington, MA (United States)

    2013-12-04

    This report describes the current state of motor technology and estimates opportunities for energy savings through application of more advanced technologies in a variety of residential and commercial end uses. The objectives of this report were to characterize the state and type of motor technologies used in residential and commercial appliances and equipment and to identify opportunities to reduce the energy consumption of electric motor-driven systems in the residential and commercial sectors through the use of advanced motor technologies. After analyzing the technical savings potential offered by motor upgrades and variable speed technologies, recommended actions are presented.

  15. Demonstration of Hydrogen Energy Network and Fuel Cells in Residential Homes

    International Nuclear Information System (INIS)

    Hirohisa Aki; Tetsuhiko Maeda; Itaru Tamura; Akeshi Kegasa; Yoshiro Ishikawa; Ichiro Sugimoto; Itaru Ishii

    2006-01-01

    The authors proposed the setting up of an energy interchange system by establishing energy networks of electricity, hot water, and hydrogen in residential homes. In such networks, some homes are equipped with fuel cell stacks, fuel processors, hydrogen storage devices, and large storage tanks for hot water. The energy network enables the flexible operation of the fuel cell stacks and fuel processors. A demonstration project has been planned in existing residential homes to evaluate the proposal. The demonstration will be presented in a small apartment building. The building will be renovated and will be equipped with a hydrogen production facility, a hydrogen interchange pipe, and fuel cell stacks with a heat recovery device. The energy flow process from hydrogen production to consumption in the homes will be demonstrated. This paper presents the proposed energy interchange system and demonstration project. (authors)

  16. Economic energy distribution and consumption in a microgrid Part 2

    DEFF Research Database (Denmark)

    Tahersima, Fatemeh; Stoustrup, Jakob; Andersen, Palle

    2014-01-01

    Energy management of a small scale electrical microgrid is investigated. The microgrid comprises residential houses with local renewable generation, consumption and storage units. The microgrid has the possibility of connection to the electricity grid as well to compensate energy decit of local...... power producers. The nal objective is to full the microgrid's energy demands mainly from the local electricity producers. The other objective is to manage power consumption such that the consumption cost is minimum for individual households. In this study, a hierarchical controller composed of three...... levels is proposed. Each layer from bottom to top focus on individual energy consuming units, individual buildings, and the microgrid respectively. At the middle layer, a model predictive controller is formulated to schedule the building's energy consumption using potential load exibilities. The top...

  17. A Meta Model for Domestic Energy Consumption

    Directory of Open Access Journals (Sweden)

    K.,J SREEKANTH

    2011-01-01

    Full Text Available Prediction of energy consumption particularly in micro level is of vital importance in terms of energy planning and also implementation of any Clean Development Mechanism (CDM activities that has become the order of the world today. It may be difficult to model household energy consumption using conventional methods such as time series forecasting due to many influencing factors. This paper presents a step wise regression model for forecasting domestic energy consumption based on micro level household survey data collected from Kerala, a state in southern part of India. The analysis of the data reveals significant influence of socio-economic, demographic, geographic, and family attributes upon total household energy requirements. While a wide variation in the pattern of energy requirements across the domestic sector belonging to different expenditure classes, per capita income level can be identified as the most important explanatory variable influencing variation in energy requirements. The models developed also demonstrates the influence of per capita land area, residential area among the higher income group while average age and literacy forms significant variables among the lower income group.

  18. The characteristics and the energy behaviour of the residential building stock of Cyprus in view of Directive 2002/91/EC

    Energy Technology Data Exchange (ETDEWEB)

    Panayiotou, G.P.; Kalogirou, S.A.; Florides, G.A. [Cyprus University of Technology, Department of Mechanical Engineering and Materials Science and Engineering (Cyprus); Maxoulis, C.N. [Cyprus Scientific and Technical Chamber (Cyprus); Papadopoulos, A.M. [Aristotle University of Thessaloniki, Department of Mechanical Engineering (Greece); Neophytou, M.; Fokaides, P.; Georgiou, G. [University of Cyprus, Department of Civil and Environmental Engineering (Cyprus); Symeou, A. [Energy Service, Ministry of Commerce, Industry and Tourism (Cyprus); Georgakis, G. [RTD Talos (Cyprus)

    2010-11-15

    The significance of the residential building sector in terms of energy consumption is well acknowledged. In this view the knowledge of the way the residential building stock of Cyprus behaves in terms of energy consumption is quite valuable since it will assist policy makers to formulate targeted measures aiming the improvement of energy efficiency and setting current legal standards and benchmarks in the energy performance certificate, a requirement of the 2002/91/EC Directive. Unfortunately, the existing knowledge on this subject is quite poor. As a remedy a research project supported by a national research grant is in operation since December 2008. This paper presents the outline, goals and methodology of this research project and the findings regarding the energy behaviour and other characteristics of the residential building stock of Cyprus. From the analysis of the results for 500 residential buildings, it seems that the energy demand and primary energy required is lower than that of other European countries. Moreover, it seems that the age of residential buildings has low correlation with the energy demand while in contrast with other Northern and Central European countries, it is clear that the contribution of cooling energy requirements to the overall energy demand is quite significant. (author)

  19. Energy-Independent Architectural Models for Residential Complex Plans through Solar Energy in Daegu Metropolitan City, South Korea

    Directory of Open Access Journals (Sweden)

    Sung-Yul Kim

    2018-02-01

    Full Text Available This study suggests energy-independent architectural models for residential complexes through the production of solar-energy-based renewable energy. Daegu Metropolitan City, South Korea, was selected as the target area for the residential complex. An optimal location in the area was selected to maximize the production of solar-energy-based renewable energy. Then, several architectural design models were developed. Next, after analyzing the energy-use patterns of each design model, economic analyses were conducted considering the profits generated from renewable-energy use. In this way, the optimum residential building model was identified. For this site, optimal solar power generation efficiency was obtained when solar panels were installed at 25° angles. Thus, the sloped roof angles were set to 25°, and the average height of the internal space of the highest floor was set to 1.8 m. Based on this model, analyses were performed regarding energy self-sufficiency improvement and economics. It was verified that connecting solar power generation capacity from a zero-energy perspective considering the consumer’s amount of power consumption was more effective than connecting maximum solar power generation capacity according to building structure. Moreover, it was verified that selecting a subsidizable solar power generation capacity according to the residential solar power facility connection can maximize operational benefits.

  20. The evolution of the energy demand in France in the industrial, residential and transportation sectors

    International Nuclear Information System (INIS)

    2006-01-01

    This document provides information, from 1970 to 2005, on the evolution of the energy intensity (ratio between the primary energy consumption and the gross domestic product in volume) and the actions of energy control for the industrial, residential and transportation sectors. (A.L.B.)

  1. Residential Electricity Consumption in Poland

    Directory of Open Access Journals (Sweden)

    Edyta Ropuszyńska-Surma

    2016-01-01

    Full Text Available Key factors influencing electricity consumption in the residential sector in Poland have been identified. A fixed-effects model was used, which includes time effects, and a set of covariates, based on the model developed by Houthakker et al. This model estimates electricity demand by using lagged values of the dependent variable along with current and lagged values of electricity prices, and other variables that affect electricity demand such as: population, economic growth, income per capita, price of related goods, etc. The model has been identified according to the research results of the authors and those obtained by Bentzen and Engsted. The set of covariates was extended to the lagged electricity price given by a tariff (taken from two years previous to the time of interest and heating degree days index, a very important factor in European Union countries, where the climate is temperate. The authors propose four models of residential electricity demand, for which a confidence interval of 95% has been assumed. Estimation was based on Polish quarterly data for the years 2003-2013. (original abstract

  2. Residential building energy estimation method based on the application of artificial intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Marshall, S.; Kajl, S.

    1999-07-01

    The energy requirements of a residential building five to twenty-five stories high can be measured using a newly proposed analytical method based on artificial intelligence. The method is fast and provides a wide range of results such as total energy consumption values, power surges, and heating or cooling consumption values. A series of database were created to take into account the particularities which influence the energy consumption of a building. In this study, DOE-2 software was created for use in 8 apartment models. A total of 27 neural networks were used, 3 for the estimation of energy consumption in the corridor, and 24 for inside the apartments. Three user interfaces were created to facilitate the estimation of energy consumption. These were named the Energy Estimation Assistance System (EEAS) interfaces and are only accessible using MATLAB software. The input parameters for EEAS are: climatic region, exterior wall resistance, roofing resistance, type of windows, infiltration, number of storeys, and corridor ventilation system operating schedule. By changing the parameters, the EEAS can determine annual heating, cooling and basic energy consumption levels for apartments and corridors. 2 tabs., 2 figs.

  3. Modelling and forecasting Turkish residential electricity demand

    International Nuclear Information System (INIS)

    Dilaver, Zafer; Hunt, Lester C

    2011-01-01

    This research investigates the relationship between Turkish residential electricity consumption, household total final consumption expenditure and residential electricity prices by applying the structural time series model to annual data over the period from 1960 to 2008. Household total final consumption expenditure, real energy prices and an underlying energy demand trend are found to be important drivers of Turkish residential electricity demand with the estimated short run and the long run total final consumption expenditure elasticities being 0.38 and 1.57, respectively, and the estimated short run and long run price elasticities being -0.09 and -0.38, respectively. Moreover, the estimated underlying energy demand trend, (which, as far as is known, has not been investigated before for the Turkish residential sector) should be of some benefit to Turkish decision makers in terms of energy planning. It provides information about the impact of past policies, the influence of technical progress, the impacts of changes in consumer behaviour and the effects of changes in economic structure. Furthermore, based on the estimated equation, and different forecast assumptions, it is predicted that Turkish residential electricity demand will be somewhere between 48 and 80 TWh by 2020 compared to 40 TWh in 2008. - Research highlights: → Estimated short run and long run expenditure elasticities of 0.38 and 1.57, respectively. → Estimated short run and long run price elasticities of -0.09 and -0.38, respectively. → Estimated UEDT has increasing (i.e. energy using) and decreasing (i.e. energy saving) periods. → Predicted Turkish residential electricity demand between 48 and 80 TWh in 2020.

  4. The electric energy consumption in the city of Sao Paulo - Brazil: the residential sector in the eighties; O consumo de energia eletrica na cidade de Sao Paulo: o setor residencial nos anos oitenta

    Energy Technology Data Exchange (ETDEWEB)

    Borelli, A.B.; Sellito, Y.M.; Moreira, J.G.S. [Sao Paulo Univ., SP (Brazil). Inst. de Eletrotecnica e Energia

    1994-07-01

    This work analyses the evolution of the energy consumption in the residential sector of the city of Sao Paulo in the years of 19980, 1985 and 1990, and relates electric power cost participation in the family monthly stratified budget. Also, the price x consumption elasticity verified in the mentioned period is analysed.

  5. Residential Consumer-Centric Demand-Side Management Based on Energy Disaggregation-Piloting Constrained Swarm Intelligence: Towards Edge Computing.

    Science.gov (United States)

    Lin, Yu-Hsiu; Hu, Yu-Chen

    2018-04-27

    The emergence of smart Internet of Things (IoT) devices has highly favored the realization of smart homes in a down-stream sector of a smart grid. The underlying objective of Demand Response (DR) schemes is to actively engage customers to modify their energy consumption on domestic appliances in response to pricing signals. Domestic appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption intelligently. Besides, to residential customers for DR implementation, maintaining a balance between energy consumption cost and users’ comfort satisfaction is a challenge. Hence, in this paper, a constrained Particle Swarm Optimization (PSO)-based residential consumer-centric load-scheduling method is proposed. The method can be further featured with edge computing. In contrast with cloud computing, edge computing—a method of optimizing cloud computing technologies by driving computing capabilities at the IoT edge of the Internet as one of the emerging trends in engineering technology—addresses bandwidth-intensive contents and latency-sensitive applications required among sensors and central data centers through data analytics at or near the source of data. A non-intrusive load-monitoring technique proposed previously is utilized to automatic determination of physical characteristics of power-intensive home appliances from users’ life patterns. The swarm intelligence, constrained PSO, is used to minimize the energy consumption cost while considering users’ comfort satisfaction for DR implementation. The residential consumer-centric load-scheduling method proposed in this paper is evaluated under real-time pricing with inclining block rates and is demonstrated in a case study. The experimentation reported in this paper shows the proposed residential consumer-centric load-scheduling method can re-shape loads by home appliances in response to DR signals. Moreover, a phenomenal reduction in peak power consumption is achieved

  6. Residential Consumer-Centric Demand-Side Management Based on Energy Disaggregation-Piloting Constrained Swarm Intelligence: Towards Edge Computing

    Science.gov (United States)

    Hu, Yu-Chen

    2018-01-01

    The emergence of smart Internet of Things (IoT) devices has highly favored the realization of smart homes in a down-stream sector of a smart grid. The underlying objective of Demand Response (DR) schemes is to actively engage customers to modify their energy consumption on domestic appliances in response to pricing signals. Domestic appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption intelligently. Besides, to residential customers for DR implementation, maintaining a balance between energy consumption cost and users’ comfort satisfaction is a challenge. Hence, in this paper, a constrained Particle Swarm Optimization (PSO)-based residential consumer-centric load-scheduling method is proposed. The method can be further featured with edge computing. In contrast with cloud computing, edge computing—a method of optimizing cloud computing technologies by driving computing capabilities at the IoT edge of the Internet as one of the emerging trends in engineering technology—addresses bandwidth-intensive contents and latency-sensitive applications required among sensors and central data centers through data analytics at or near the source of data. A non-intrusive load-monitoring technique proposed previously is utilized to automatic determination of physical characteristics of power-intensive home appliances from users’ life patterns. The swarm intelligence, constrained PSO, is used to minimize the energy consumption cost while considering users’ comfort satisfaction for DR implementation. The residential consumer-centric load-scheduling method proposed in this paper is evaluated under real-time pricing with inclining block rates and is demonstrated in a case study. The experimentation reported in this paper shows the proposed residential consumer-centric load-scheduling method can re-shape loads by home appliances in response to DR signals. Moreover, a phenomenal reduction in peak power consumption is achieved

  7. Residential Consumer-Centric Demand-Side Management Based on Energy Disaggregation-Piloting Constrained Swarm Intelligence: Towards Edge Computing

    Directory of Open Access Journals (Sweden)

    Yu-Hsiu Lin

    2018-04-01

    Full Text Available The emergence of smart Internet of Things (IoT devices has highly favored the realization of smart homes in a down-stream sector of a smart grid. The underlying objective of Demand Response (DR schemes is to actively engage customers to modify their energy consumption on domestic appliances in response to pricing signals. Domestic appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption intelligently. Besides, to residential customers for DR implementation, maintaining a balance between energy consumption cost and users’ comfort satisfaction is a challenge. Hence, in this paper, a constrained Particle Swarm Optimization (PSO-based residential consumer-centric load-scheduling method is proposed. The method can be further featured with edge computing. In contrast with cloud computing, edge computing—a method of optimizing cloud computing technologies by driving computing capabilities at the IoT edge of the Internet as one of the emerging trends in engineering technology—addresses bandwidth-intensive contents and latency-sensitive applications required among sensors and central data centers through data analytics at or near the source of data. A non-intrusive load-monitoring technique proposed previously is utilized to automatic determination of physical characteristics of power-intensive home appliances from users’ life patterns. The swarm intelligence, constrained PSO, is used to minimize the energy consumption cost while considering users’ comfort satisfaction for DR implementation. The residential consumer-centric load-scheduling method proposed in this paper is evaluated under real-time pricing with inclining block rates and is demonstrated in a case study. The experimentation reported in this paper shows the proposed residential consumer-centric load-scheduling method can re-shape loads by home appliances in response to DR signals. Moreover, a phenomenal reduction in peak power

  8. Game-Theoretic Energy Management for Residential Users with Dischargeable Plug-in Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Bingtuan Gao

    2014-11-01

    Full Text Available The plug-in electric vehicle (PEV has attracted more and more attention because of the energy crisis and environmental pollution, which is also the main shiftable load of the residential users’ demand side management (DSM system in the future smart grid (SG. In this paper, we employ game theory to provide an autonomous energy management system among residential users considering selling energy back to the utility company by discharging the PEV’s battery. By assuming all users are equipped with smart meters to execute automatic energy consumption scheduling (ECS and the energy company can adopt adequate pricing tariffs relating to time and level of energy usage, we formulate an energy management game, where the players are the residential users and the strategies are their daily schedules of household appliance use. We will show that the Nash equilibrium of the formulated energy management game can guarantee the global optimization in terms of minimizing the energy costs, where the depreciation cost of PEV’s battery because of discharging and selling energy back is also considered. Simulation results verify that the proposed game-theoretic approach can reduce the total energy cost and individual daily electricity payment. Moreover, since plug-in electric bicycles (PEBs are currently widely used in China, simulation results of residential users owing household appliances and bidirectional energy trading of PEBs are also provided and discussed.

  9. Household vehicles energy consumption 1994

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-08-01

    Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

  10. Energy usage and technical potential for energy saving measures in the Swedish residential building stock

    International Nuclear Information System (INIS)

    Mata, Érika; Sasic Kalagasidis, Angela; Johnsson, Filip

    2013-01-01

    This paper provides an analysis of the current energy usage (net energy and final energy by fuels) and associated carbon dioxide (CO 2 ) emissions of the Swedish residential building stock, which includes single-family dwellings and multi-family dwellings. Twelve energy saving measures (ESMs) are assessed using a bottom–up modeling methodology, in which the Swedish residential stock is represented by a sample of 1400 buildings (based on data from the year 2005). Application of the ESMs studied gives a maximum technical reduction potential in energy demand of 53%, corresponding to a 63% reduction in CO 2 emissions. Although application of the investigated ESMs would reduce CO 2 emissions, the measures that reduce electricity consumption for lighting and appliances (LA) will increase CO 2 emissions, since the saved electricity production is less CO 2 -intensive than the fuel mix used for the increased space heating required to make up for the loss in indirect heating obtained from LA. - Highlights: ► Analysis of year 2005energy use and CO2 emissions of Swedish residential buildings. ► Includes all single-family dwellings and multi-family dwellings. ► Bottom–up modeling of building stock represented by 1400 buildings. ► Technical effects of 12 energy saving measures are assessed. ► Energy demand can be reduced by53% and associated CO 2 emissions by 63%

  11. Residential-energy-demand modeling and the NIECS data base: an evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Cowing, T.G.; Dubin, J.A.; McFadden, D.

    1982-01-01

    The purpose of this report is to evaluate the 1978-1979 National Interim Energy Consumption Survey (NIECS) data base in terms of its usefulness for estimating residential energy demand models based on household appliance choice and utilization decisions. The NIECS contains detailed energy usage information at the household level for 4081 households during the April 1978 to March 1979 period. Among the data included are information on the structural and thermal characteristics of the housing unit, demographic characteristics of the household, fuel usage, appliance characteristics, and actual energy consumption. The survey covers the four primary residential fuels-electricity, natural gas, fuel oil, and liquefied petroleum gas - and includes detailed information on recent household conservation and retrofit activities. Section II contains brief descriptions of the major components of the NIECS data set. Discussions are included on the sample frame and the imputation procedures used in NIECS. There are also two extensive tables, giving detailed statistical and other information on most of the non-vehicle NIECS variables. Section III contains an assessment of the NIECS data, focusing on four areas: measurement error, sample design, imputation problems, and additional data needed to estimate appliance choice/use models. Section IV summarizes and concludes the report.

  12. Potential reduction of energy consumption in public university library

    Science.gov (United States)

    Noranai, Z.; Azman, ADF

    2017-09-01

    Efficient electrical energy usage has been recognized as one of the important factor to reduce cost of electrical energy consumption. Various parties have been emphasized about the importance of using electrical energy efficiently. Inefficient usage of electrical energy usage lead to biggest factor increasing of administration cost in Universiti Tun Hussein Onn Malaysia. With this in view, a project the investigate potential reduction electrical energy consumption in Universiti Tun Hussein Onn Malaysia was carried out. In this project, a case study involving electrical energy consumption of Perpustakaan Tunku Tun Aminah was conducted. The scopes of this project are to identify energy consumption in selected building and to find the factors that contributing to wastage of electrical energy. The MS1525:2001, Malaysian Standard - Code of practice on energy efficiency and use of renewable energy for non-residential buildings was used as reference. From the result, 4 saving measure had been proposed which is change type of the lamp, install sensor, decrease the number of lamp and improve shading coefficient on glass. This saving measure is suggested to improve the efficiency of electrical energy consumption. Improve of human behaviour toward saving energy measure can reduce 10% from the total of saving cost while on building technical measure can reduce 90% from total saving cost.

  13. Impact of window selection on the energy performance of residential buildings in South Korea

    International Nuclear Information System (INIS)

    Ihm, Pyeongchan; Park, Lyool; Krarti, Moncef; Seo, Donghyun

    2012-01-01

    With rapidly increasing energy consumption attributed to residential buildings in South Korea, there is a need to update requirements of the building energy code in order to improve the energy performance of buildings. This paper provides some guidelines to improve the building energy code to better select glazing types that minimize total energy use of residential buildings in Korea. In particular, detailed energy simulation analyses coupled with economical and environmental assessments are carried out to assess the thermal, economical, and environmental impacts of glazing thermal characteristics as well as window sizes associated with housing units in various representative climates within South Korea. The results of the analyses have clearly indicated that selecting glazing with low solar heat gain coefficient is highly beneficial especially for large windows and for mild climates. In particular, it is found that using any double-pane low-e glazing would provide better performance for windows in residential buildings than the clear double-pane glazing, currently required by the Korean building energy code. - Highlights: ► Results show that windows can be energy neutral for residential buildings. ► In Korea, double-pane low-e glazing would provide better energy performance. ► Double low-e clear filled with argon gas glazing is the most cost-effective.

  14. Residential energy consumption for end uses in Mexico (1984-1994); Consumo de energia residencial por usos finales en Mexico (1984 y 1994)

    Energy Technology Data Exchange (ETDEWEB)

    Vazquez, Oscar; Sheinbaum, Claudia [Instituto de Ingenieria de la UNAM, Mexico, D. F. (Mexico)

    1998-12-31

    This paper analyses the changes in equipment in dwellings and the residential energy consumption for end uses in Mexico in the 1984-1994 decade. The study is based in data of the Instituto Nacional de Estadistica, Geografia e Informatica (INEGI)`s Income-Expense in Homes National Survey and in estimates of the unit consumption of the household appurtenances. The most important results show that food cooking represents 64% of the residential energy consumption, 22% water heating, 4% lightning and 10% electric appurtenances and other uses of LP gas and natural gas. The devices of greater saturation in 1994 were the gas stove (87%), the iron (85%), the TV (85%) and the refrigerator (64%). In analysis of the equipment there is a serious inequity in the country. The number of dwellings that have electric household devices or appurtenances requiring the supply of energy services greatly depend on the income level of the same. [Espanol] Este articulo analiza los cambios en el equipamiento de las viviendas y en el consumo de energia residencial por usos finales en Mexico en la decada 1984-1994. El estudio se basa en datos de la Encuesta Nacional Ingreso-Gasto de los Hogares del Instituto Nacional de Estadistica, Geografia e Informatica (INEGI) y en estimaciones del consumo unitario de los equipos. Los resultados mas importantes muestran que la coccion de alimentos representa el 64% del consumo de energia residencial, 22% el calentamiento de agua, 4% la iluminacion y 10% los equipos electricos y otros usos de gas LP y gas natural. Los equipos de mayor saturacion en 1994 fueron la estufa de gas (87%), la plancha (85%), la television (85%) y el refrigerador (64%). En un analisis de equipamiento por nivel de ingreso, se muestra que existe una inequidad grave en el pais. El numero de viviendas que cuentan con equipos para suministrar servicios energeticos depende enormemente del nivel de ingreso de las mismas.

  15. Residential energy consumption for end uses in Mexico (1984-1994); Consumo de energia residencial por usos finales en Mexico (1984 y 1994)

    Energy Technology Data Exchange (ETDEWEB)

    Vazquez, Oscar; Sheinbaum, Claudia [Instituto de Ingenieria de la UNAM, Mexico, D. F. (Mexico)

    1999-12-31

    This paper analyses the changes in equipment in dwellings and the residential energy consumption for end uses in Mexico in the 1984-1994 decade. The study is based in data of the Instituto Nacional de Estadistica, Geografia e Informatica (INEGI)`s Income-Expense in Homes National Survey and in estimates of the unit consumption of the household appurtenances. The most important results show that food cooking represents 64% of the residential energy consumption, 22% water heating, 4% lightning and 10% electric appurtenances and other uses of LP gas and natural gas. The devices of greater saturation in 1994 were the gas stove (87%), the iron (85%), the TV (85%) and the refrigerator (64%). In analysis of the equipment there is a serious inequity in the country. The number of dwellings that have electric household devices or appurtenances requiring the supply of energy services greatly depend on the income level of the same. [Espanol] Este articulo analiza los cambios en el equipamiento de las viviendas y en el consumo de energia residencial por usos finales en Mexico en la decada 1984-1994. El estudio se basa en datos de la Encuesta Nacional Ingreso-Gasto de los Hogares del Instituto Nacional de Estadistica, Geografia e Informatica (INEGI) y en estimaciones del consumo unitario de los equipos. Los resultados mas importantes muestran que la coccion de alimentos representa el 64% del consumo de energia residencial, 22% el calentamiento de agua, 4% la iluminacion y 10% los equipos electricos y otros usos de gas LP y gas natural. Los equipos de mayor saturacion en 1994 fueron la estufa de gas (87%), la plancha (85%), la television (85%) y el refrigerador (64%). En un analisis de equipamiento por nivel de ingreso, se muestra que existe una inequidad grave en el pais. El numero de viviendas que cuentan con equipos para suministrar servicios energeticos depende enormemente del nivel de ingreso de las mismas.

  16. Development of a new energy efficiency rating system for existing residential buildings

    International Nuclear Information System (INIS)

    Koo, Choongwan; Hong, Taehoon; Lee, Minhyun; Seon Park, Hyo

    2014-01-01

    Building energy efficiency rating systems have been established worldwide to systematically manage the energy consumption of existing buildings. This study aimed to develop a new energy efficiency rating system for existing residential buildings from two perspectives: (i) establishment of reasonable and fair criteria for the building energy efficiency rating system; and (ii) establishment of comparative incentive and penalty programs to encourage the voluntary participation of all residents in the energy saving campaign. Based on the analysis of the conventional energy efficiency rating system for existing residential buildings, this study was conducted in five steps: (i) data collection and analysis; (ii) correlation analysis between the household size and the CO 2 emission density (i.e., CO 2 emission per unit area); (iii) cluster formation based on results of the correlation analysis using a decision tree; (iv) establishment of a new energy efficiency rating system for existing buildings; and (v) establishment of incentive and penalty programs using advanced case-based reasoning. The proposed system can allow a policymaker to establish a reasonable and fair energy efficiency rating system for existing residential buildings and can encourage the voluntary participation of all residents in the energy saving campaign. - Highlights: • A new energy efficiency rating system for the residential building was developed. • The incentive and penalty programs were established using an advanced CBR model. • The new system was established using reasonable and fair standards. • It allows all residents to voluntarily participate in the energy saving campaign. • It can be applied to any country or sector in the global environment

  17. Impact of energy policy instruments on the estimated level of underlying energy efficiency in the EU residential sector

    International Nuclear Information System (INIS)

    Filippini, Massimo; Hunt, Lester C.; Zorić, Jelena

    2014-01-01

    The promotion of energy efficiency is seen as one of the top priorities of EU energy policy (EC, 2010). In order to design and implement effective energy policy instruments, it is necessary to have information on energy demand price and income elasticities in addition to sound indicators of energy efficiency. This research combines the approaches taken in energy demand modelling and frontier analysis in order to econometrically estimate the level of energy efficiency for the residential sector in the EU-27 member states for the period 1996 to 2009. The estimates for the energy efficiency confirm that the EU residential sector indeed holds a relatively high potential for energy savings from reduced inefficiency. Therefore, despite the common objective to decrease ‘wasteful’ energy consumption, considerable variation in energy efficiency between the EU member states is established. Furthermore, an attempt is made to evaluate the impact of energy-efficiency measures undertaken in the EU residential sector by introducing an additional set of variables into the model and the results suggest that financial incentives and energy performance standards play an important role in promoting energy efficiency improvements, whereas informative measures do not have a significant impact. - Highlights: • The level of energy efficiency of the EU residential sector is estimated. • Considerable potential for energy savings from reduced inefficiency is established. • The impact of introduced energy-efficiency policy measures is also evaluated. • Financial incentives are found to promote energy efficiency improvements. • Energy performance standards also play an important role

  18. Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data

    International Nuclear Information System (INIS)

    Belaïd, Fateh; Garcia, Thomas

    2016-01-01

    Analysing household energy-saving behaviours is crucial to improve energy consumption predictions and energy policy making. How should we quantitatively measure them? What are their determinants? This study explores the main factors influencing residential energy-saving behaviours based on a bottom-up multivariate statistical approach using data from the recent French PHEBUS survey. Firstly, we assess energy-saving behaviours on a one-dimension scale using IRT. Secondly, we use linear regression with an innovative variable selection method via adaptive lasso to tease out the effects of both macro and micro factors on the behavioural score. The results highlight the impact of five main attributes incentivizing energy-saving behaviours based on cross-variable analyses: energy price, household income, education level, age of head of household and dwelling energy performance. In addition, our results suggest that the analysis of the inverted U-shape impact of age enables the expansion of the energy consumption life cycle theory to energy-saving behaviours. - Highlights: • We examine the main factors influencing residential energy-saving behaviours. • We use data from the recent French PHEBUS survey. • We use IRT to assess energy-saving behaviours on a one-dimension scale. • We use linear regression with an innovative variable selection method via adaptive lasso. • We highlight the impact of five main attributes incentivizing energy-saving behaviours.

  19. Towards Nearly Zero Energy Buildings in Europe: A Focus on Retrofit in Non-Residential Buildings

    Directory of Open Access Journals (Sweden)

    Delia D’Agostino

    2017-01-01

    Full Text Available Buildings are the focus of European (EU policies aimed at a sustainable and competitive low-carbon economy by 2020. Reducing energy consumption of existing buildings and achieving nearly zero energy buildings (NZEBs are the core of the Energy Efficiency Directive (EED and the recast of the Energy Performance of Building Directive (EPBD. To comply with these requirements, Member States have to adopt actions to exploit energy savings from the building sector. This paper describes the differences between deep, major and NZEB renovation and then it provides an overview of best practice policies and measures to target retrofit and investment related to non-residential buildings. Energy requirements defined by Member States for NZEB levels are reported comparing both new and existing residential and non-residential buildings. The paper shows how the attention given to refurbishment of NZEBs increased over the last decade, but the achievement of a comprehensive implementation of retrofit remains one of main challenges that Europe is facing.

  20. Energy consumption: energy consumption in mainland Norway

    Energy Technology Data Exchange (ETDEWEB)

    Magnussen, Inger Helene; Killingland, Magnus; Spilde, Dag

    2012-07-25

    The purpose of this report is to describe trends in energy consumption in mainland Norway, with an emphasis on key trends within the largest consumer groups. We also explain common terms and concepts in the field of energy consumption. Finally, we look at forecasts for future energy consumption, produced by bodies outside NVE. Total final energy consumption in mainland Norway in 2009 was 207 TWh. The most important end-user groups are households, service industries, manufacturing industry and transport. In addition, the energy sector in mainland Norway consumed 15 TWh. Energy consumed in the energy sector is not considered as final consumption, as the energy is used to produce new energy products. The long-term trend in energy consumption in mainland Norway is that fuel in the transport sector and electricity for the energy sector increases, while energy consumption in other sectors flattens out. The main reason for an increased use of fuel in the transport sector is the rise in the number of motorised machinery and vehicles in mainland Norway. This has caused a rise in gasoline and diesel consumption of 75 per cent since 1976. The petroleum sector is the largest consumer of energy within the energy sector in mainland Norway, and electricity from onshore to platforms in the North Sea and to new shore side installations has led to a rise in electricity consumption from 1 TWh in 1995 to 5 TWh in 2009. The energy consumption in households showed flat trend from 1996 to 2009, after many years of growth. The main reasons are a warmer climate, higher energy prices, the use of heats pumps and more energy-efficient buildings. In the service industries, the growth in energy consumptions has slightly decreased since the late 1990s, for much the same reasons as for households. In manufacturing industries the energy consumption have flatten out mainly due to the closure of energy-intensive businesses and the establishment of new more energy-efficient businesses. Electricity is

  1. Profitability of Residential Battery Energy Storage Combined with Solar Photovoltaics

    Directory of Open Access Journals (Sweden)

    Christoph Goebel

    2017-07-01

    Full Text Available Lithium-ion (Li-Ion batteries are increasingly being considered as bulk energy storage in grid applications. One such application is residential energy storage combined with solar photovoltaic (PV panels to enable higher self-consumption rates, which has become financially more attractive recently due to decreasing feed-in subsidies. Although residential energy storage solutions are commercially mature, it remains unclear which system configurations and circumstances, including aggregator-based applications such as the provision of ancillary services, lead to profitable consumer investments. Therefore, we conduct an extensive simulation study that is able to jointly capture these aspects. Our results show that, at current battery module prices, even optimal system configurations still do not lead to profitable investments into Li-Ion batteries if they are merely used as a buffer for solar energy. The first settings in which they will become profitable, as prices are further declining, will be larger households at locations with higher average levels of solar irradiance. If the batteries can be remote-controlled by an aggregator to provide overnight negative reserve, their profitability increases significantly.

  2. Decreasing of energy consumption for space heating in existing residential buildings

    International Nuclear Information System (INIS)

    Stamov, S.; Zlateva, M.; Gechkov, N.

    2000-01-01

    An analysis is for the technical possibilities for reducing the energy consumption in existing buildings by means of the heat control and measurement. The basic performances of the heat capacity control methods, of the hierarchy structure of the control and of the heat measurement technologies are presented. This paper also presents the results from the long-term investigation of energy consumption for heating. The results area consist of three typical and uniform buildings in the city of Kazanlak (Bulgaria). The outcome of the investigation provides a valuable basis for future decisions to be made concerning reconstruction of heating installations and enables the results to be transferred. (Authors)

  3. Valuing Residential Energy Efficiency in Two Alaska Real Estate Markets: A Hedonic Approach

    Science.gov (United States)

    Pride, Dominique J.

    Alaska households have high home energy consumption and expenditures. Improving the energy efficiency of the housing stock can reduce home energy consumption, thereby reducing home energy expenditures and CO2 emissions. Improving the energy efficiency of a home may also increase its transaction price if the energy efficiency improvements are capitalized into the value of the home. The relationship between energy efficiency and transaction prices in the Fairbanks and Anchorage, Alaska residential real estate markets is examined. Using a hedonic pricing framework and difference-in-differences analysis, the impact of the Alaska Home Energy Rebate program on the transaction prices of single-family homes in the Fairbanks and Anchorage housing markets from 2008 through 2015 is examined. The results indicate that compared to homes that did not complete the program, homes that completed the program sell for a statistically significant price premium between 15.1% and 15.5% in the Fairbanks market and between 5% and 11% in the Anchorage market. A hedonic pricing framework is used to relate energy efficiency ratings and transaction prices of homes in the Fairbanks and Anchorage residential real estate markets from 2008 through 2015. The results indicate that homes with above-average energy efficiency ratings sell for a statistically significant price premium between 6.9% and 17.5% in the Fairbanks market and between 1.8% and 6.0% in the Anchorage market.

  4. Validation Methodology to Allow Simulated Peak Reduction and Energy Performance Analysis of Residential Building Envelope with Phase Change Materials: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Tabares-Velasco, P. C.; Christensen, C.; Bianchi, M.

    2012-08-01

    Phase change materials (PCM) represent a potential technology to reduce peak loads and HVAC energy consumption in residential buildings. This paper summarizes NREL efforts to obtain accurate energy simulations when PCMs are modeled in residential buildings: the overall methodology to verify and validate Conduction Finite Difference (CondFD) and PCM algorithms in EnergyPlus is presented in this study. It also shows preliminary results of three residential building enclosure technologies containing PCM: PCM-enhanced insulation, PCM impregnated drywall and thin PCM layers. The results are compared based on predicted peak reduction and energy savings using two algorithms in EnergyPlus: the PCM and Conduction Finite Difference (CondFD) algorithms.

  5. Understanding the spectrum of domestic energy consumption: Empirical evidence from France

    International Nuclear Information System (INIS)

    Belaïd, Fateh

    2016-01-01

    This article focuses on residential energy consumption in France. Using a bottom-up statistical approach, this analysis explores determinants of household energy consumption using data from the most recent National Housing Survey. The primary objective is to tease out the impacts of various factors on the domestic energy consumption spectrum across different population groups. The aim of this approach is to neutralize conventional factors affecting energy consumption (age of house, total area, etc.) to finely analyze the impact of other determinants including those relating to household characteristics and other control variables. First, we define homogeneous consumption groups of households by using multivariate statistical techniques, namely the Multiple Correspondence Analysis and Ascending Hierarchical Classification. Second, we use standard OLS regression to explore the effects of various factors on domestic energy consumption among homogeneous groups of households. This multivariate analysis exercise has led us to identify four main consumption typologies. Results revealed that energy prices were the most important factors determining domestic energy consumption. In addition, this study showed that occupant characteristics significantly affect domestic energy use. Results of this research call for combine all efforts, multiple strategies and smart policies, to incorporate household and consumption behaviors in managing domestic energy consumption. - Highlights: •Survey data of 36,000 occupiers from France is analyzed. •Bottom-up statistical approach is used to analyze domestic energy consumption. •Occupant characteristics significantly affect domestic energy use. •The impact of households attributes varies markedly across consumption groups.

  6. Mathematical modeling of the energy consumption of heated swimming pools

    Energy Technology Data Exchange (ETDEWEB)

    Le Bel, C.; Millette, J. [LTE Shawinigan, Shawinigan, PQ (Canada)

    2007-07-01

    A mathematical model was developed to estimate the water temperature of a residential swimming pool. The model can compare 2 different situations and, if local climatic conditions are known, it can accurately predict energy costs of the pool relative to the total energy consumption of the house. When used with the appropriate energy transfer coefficient and weather file, the model can estimate the water temperature of a residential swimming pool having specific characteristics, such as in-ground, above-ground, heated or non-heated. The model is suitable for determining residential loads. It can be applied to different pool types and sizes, for different water heating scenarios and different climatic regions. Data obtained from the monitoring of water temperature and electricity use of 57 residential swimming pools was used to validate the model. In addition, 5 above-ground pools were installed on the property of LTE Shawinigan to allow for a more detailed study of the parameters involved in the thermal balance of a pool. The mathematical model, based on a global heat transfer coefficient, can determine the effect of a solar blanket and the effect of water volume. 14 refs., 5 tabs., 11 figs.

  7. INTERNATIONAL COMPARISON OF RESIDENTIAL ENERGY USE: INDICATORS OF RESIDENTIAL ENERGY USE AND EFFICIENCY PART ONE: THE DATA BASE

    Energy Technology Data Exchange (ETDEWEB)

    Schipper, L.; Ketoff, A.; Meyers, S.

    1981-05-01

    This summary report presents information on the end-uses of energy in the residential sector of seven major OECD countries over the period 1960-1978. Much of the information contained herein has never been published before. We present data on energy consumption by energy type and end-use for three to five different years for each country. Each year table is complemented by a set of indicators, which are assembled for the entire 20-year period at the end of each country listing. Finally, a set of key indicators from each country is displayed together in a table, allowing comparison for three periods: early (1960-63), pre-embargo (1970-73), and recent (1975-78). Analysis of these results, smoothing and interpolation of the data, addition of further data, and analytical comparison of in-country and cross-country trends will follow in the next phase of our work.

  8. Conceptual provisions of the implementation of energy saving measures in the residential facilities

    Directory of Open Access Journals (Sweden)

    Meshcheryakova Tatiana

    2017-01-01

    Full Text Available Research purpose is identification of sales problems of energy saving actions for residential sector of economy, including with use of the power service contract. The choice of the object of the study is related to the general issues on energy saving of residential facilities and increasing the number of unresolved problems. Unfortunately, the efficiency of energy consumption of housing stock is extremely low that directly leads to an increase in citizens’ payments for public utilities (housing and communal services. There are many problems associated with the aging of fixed assets: it becomes especially evident in winter seasons. The level of quality of delivery, distribution and consumption of expensive heat resources that has the greatest impact on a residence comfort and sometimes human life and health, is very low. Our population faces to year overheating or freezing, to leakages through worn pipes and the subsequent disconnection of water and heat. Despite the public declaration of the of the active processes of modernization of the housing municipal economy in the Russian Federation, the implementation of the necessary energy-saving elements in the housing sector is evolving very slowly. The article presents conceptual positions, which will bring the issues related to energy saving and efficiency to a new level.

  9. Public participation in energy saving retrofitting of residential buildings in China

    International Nuclear Information System (INIS)

    Liu, Wenling; Zhang, Jinyun; Bluemling, Bettina; Mol, Arthur P.J.; Wang, Can

    2015-01-01

    Highlights: • We compare public participation in three early cases of residential retrofitting in Beijing. • Residents’ involvement in pre-retrofit activities as well as in the choice and use of technologies varied. • More involvement of residents during retrofitting improves energy saving performance. • Taking into account motives and energy use practices of residents improves energy saving through retrofitting. - Abstract: Retrofitting existing residential buildings has been claimed as one crucial way to reduce energy consumption and greenhouse gas emissions within the Chinese residential sector. In China’s government-dominated retrofitting projects, the participation of residents is often neglected. The objective of this paper is to assess the influence level of public participation (before, during and after retrofit) on energy saving by comparing three Beijing neighborhoods with different retrofitting models: a central government-led model, a local government-led model, and an old neighborhood retrofit model. In the three cases data were collected through interviews with neighborhood workers and residents. The results show that residents’ involvement in pre-retrofit activities, in technology selection and in the use of technology differs greatly among the three cases. This study concludes that in order to improve the effectiveness of energy saving interventions, the motives, intentions and living habits of residents need to be given more consideration when designing and implementing retrofitting. By highlighting the importance of public participation this paper contributes to energy saving policy development in China

  10. Phase Change Materials as a solution to improve energy efficiency in Portuguese residential buildings

    Science.gov (United States)

    Araújo, C.; Pinheiro, A.; Castro, M. F.; Bragança, L.

    2017-10-01

    The buildings sector contributes to 30% of annual greenhouse gas emissions and consumes about 40% of energy. However, this consumption can be reduced by between 30% and 80% through commercially available technologies. The consumption of energy in the dwellings is mostly associated with the heating and cooling of the interior environment. One solution to reduce these consumptions is the implementation of technologies and Phase Change Materials (PCMs) for Thermal Energy Storage (TES). So, the aim of this work is to analyse the advantages, in terms of decreasing energy consumption, associated with the application of PCMs in Portuguese residential buildings. For this, eight PCMs with different melting ranges were analysed. These materials were analysed through a dynamic simulation performed with EnergyPlus software. The results achieved, showed that the materials studied allow to reduce up to 13% of the heating needs and up to 92% of the cooling needs of a building located in the North of Portugal, at an altitude higher than 100m.

  11. The Comfortable Home and Energy Consumption

    DEFF Research Database (Denmark)

    Madsen, Line Valdorff

    2017-01-01

    This paper investigates relations between notions of comfort and notions of home, aiming at a better understanding of residential comfort and the related energy consumption. Residential comfort is examined through a practice-theoretical lens and as something that appears in between the social...... and material structures of a home. The approach considers different elements of comfort in homemaking practices, such as the body, materials and social meanings. The paper examines how conceptions of comfort and homeliness interrelate through homemaking practices and thereby redefine comfort within a framework...... of the home and social practices. This implies focus on “the comfortable home” as made up of homemaking practices that include knowhow, sensations and social norms. The empirical basis comprises interviews and visual data from a field study on detached housing on the outskirts of a Danish city. The paper...

  12. An Exploration of the Relationship between Improvements in Energy Efficiency and Life-Cycle Energy and Carbon Emissions using the BIRDS Low-Energy Residential Database.

    Science.gov (United States)

    Kneifel, Joshua; O'Rear, Eric; Webb, David; O'Fallon, Cheyney

    2018-02-01

    To conduct a more complete analysis of low-energy and net-zero energy buildings that considers both the operating and embodied energy/emissions, members of the building community look to life-cycle assessment (LCA) methods. This paper examines differences in the relative impacts of cost-optimal energy efficiency measure combinations depicting residential buildings up to and beyond net-zero energy consumption on operating and embodied flows using data from the Building Industry Reporting and Design for Sustainability (BIRDS) Low-Energy Residential Database. Results indicate that net-zero performance leads to a large increase in embodied flows (over 40%) that offsets some of the reductions in operational flows, but overall life-cycle flows are still reduced by over 60% relative to the state energy code. Overall, building designs beyond net-zero performance can partially offset embodied flows with negative operational flows by replacing traditional electricity generation with solar production, but would require an additional 8.34 kW (18.54 kW in total) of due south facing solar PV to reach net-zero total life-cycle flows. Such a system would meet over 239% of operational consumption of the most energy efficient design considered in this study and over 116% of a state code-compliant building design in its initial year of operation.

  13. Historical changes and recent energy saving potential of residential heating in Korea

    International Nuclear Information System (INIS)

    Yeo, M.-S.; Yang, I.-H.; Kim, K.-W.

    2003-01-01

    The residential heating method in Korea underwent various phases of development to reach the current system. The first phase was the traditional Ondol (the traditional under-floor heating system in Korea), where the floor was heated by the circulation of hot gas produced by a fire furnace (before the 1950s). The second phase involved the use of the modified anthracite coal Ondol, for which the fire furnace was modified for briquette use (from the early 1950s to the late 1970s). The third phase involved the use of hot water radiant floor heating with embedded tubes (from the late 1970s). This paper presents insights into the problem of current residential heating in Korea and the general aspects of heating energy savings by tracing the history of residential heating in Korea and analyzing related data. The results show that modern apartment buildings with hot water radiant floor heating (the third phase) yield less heat loss due to the tighter envelope, but also yield higher energy consumption than the traditional Ondol heating housing (the first phase). Because of an inefficient system and lack of thermal insulation of the traditional Ondol heating housing, Ondol heating was used to heat occupants sitting directly on the floor, keeping lower room temperature and higher floor surface temperature. So the range of comfortable floor temperature for Korean people is higher and this unique comfort sense is related to energy consumption in modern apartment housing. As a result, several energy saving methods were found such as reducing the total floor heating area or zoning the floor area, receiving continuous heat supply, and installing a delicate control system and metering devices. (author)

  14. Data on European non-residential buildings.

    Science.gov (United States)

    D'Agostino, Delia; Cuniberti, Barbara; Bertoldi, Paolo

    2017-10-01

    This data article relates to the research paper Energy consumption and efficiency technology measures in European non-residential buildings (D'Agostino et al., 2017) [1]. The reported data have been collected in the framework of the Green Building Programme that ran from 2006 to 2014. The project has encouraged the adoption of efficiency measures to boost energy savings in European non-residential buildings. Data focus on the one-thousand buildings that joined the Programme allowing to save around 985 GWh/year. The main requirement to join the Programme was the reduction of at least 25% primary energy consumption in a new or retrofitted building. Energy consumption before and after the renovation are provided for retrofitted buildings while, in new constructions, a building had to be designed using at least 25% less energy than requested by the country's building codes. The following data are linked within this article: energy consumption, absolute and relative savings related to primary energy, saving percentages, implemented efficiency measures and renewables. Further information is given about each building in relation to geometry, envelope, materials, lighting and systems.

  15. Life cycle assessment of energy and CO2 emissions for residential buildings in Jakarta, Indonesia

    Science.gov (United States)

    Surahman, U.; Kubota, T.; Wijaya, A.

    2016-04-01

    In order to develop low energy and low carbon residential buildings, it is important to understand their detailed energy profiles. This study provides the results of life cycle assessment of energy and CO2 emissions for residential buildings in Jakarta, Indonesia. A survey was conducted in the city in 2012 to obtain both material inventory and household energy consumption data within the selected residential buildings (n=300), which are classified into three categories, namely simple, medium and luxurious houses. The results showed that the average embodied energy of simple, medium and luxurious houses was 58.5, 201.0, and 559.5 GJ, respectively. It was found that total embodied energy of each house can be explained by its total floor area alone with high accuracy in respective house categories. Meanwhile, it was seen that operational energy usage patterns varied largely among house categories as well as households especially in the simple and medium houses. The energy consumption for cooling was found to be the most significant factor of the increase in operational energy from simple to luxurious houses. Further, in the life cycle energy, the operational energy accounted for much larger proportions of about 86-92% than embodied energy regardless of the house categories. The life cycle CO2 emissions for medium and luxurious houses were larger than that of simple houses by 2 and 6 times on average. In the simple houses, cooking was the largest contributor to the CO2 emissions (25%), while the emissions caused by cooling increased largely with the house category and became the largest contributors in the medium (26%) and luxurious houses (41%).

  16. Impacts of US federal energy efficiency standards for residential appliances

    International Nuclear Information System (INIS)

    Meyers, S.; McMahon, J.E.; McNeil, M.; Liu, X.

    2003-01-01

    This study estimated energy, environmental, and consumer impacts of US federal residential energy efficiency standards taking effect in the 1988-2007 period. These standards have been the subject of in-depth analyses conducted as part of the US Department of Energy's (DOE's) standards rulemaking process. This study drew on those analyses, but updated key data and developed a common framework and assumptions for all of the products. We estimate that the considered standards will reduce residential primary energy consumption and carbon dioxide (CO 2 ) emissions by 8-9% in 2020 compared to the levels expected without any standards. The standards will save a cumulative total of 26-32 EJ (25-30 quads) by the year 2015, and 63 EJ (60 quads) by 2030. The estimated cumulative net present value of consumer benefit amounts to nearly US$80 billion by 2015, and grows to US$130 billion by 2030. The overall benefit/cost ratio of cumulative consumer impacts in the 1987-2050 period is 2.75:1. The cumulative cost of the DOE's program to establish and implement the standards is in the range of US$200-US$250 million. (author)

  17. Renewable energy production support schemes for residential-scale solar photovoltaic systems in Nordic conditions

    International Nuclear Information System (INIS)

    Hirvonen, Janne; Kayo, Genku; Cao, Sunliang; Hasan, Ala; Sirén, Kai

    2015-01-01

    The objective of this study was to examine the effect of production-based support schemes on the economic feasibility of residential-scale PV systems (1–10 kW) in Finland. This was done by calculating the payback time for various sizes of newly installed PV systems for a Finnish detached house with district heating. Three types of economic support schemes (guaranteed selling price, fixed premiums and self-consumption incentives) were tested in an hourly simulation. The load of the building was based on real-life measurements, while PV output was simulated with TRNSYS software. The energy results were post-processed with economic data in MATLAB to find the payback time. Hourly electricity prices from the Nordic energy market were used with PV system prices from Finnish companies. Unsubsidised residential PV systems in Finland had payback times of more than 40 years. The production-based support for PV generation needs to be two to three times the buying price of electricity, to make it possible to pay back the initial investment in 20 years. Low capacity systems with more than 50% self-consumption (under 3 kW) were favoured by self-consumption incentives, while high capacity systems with less than 40% self-consumption (over 5 kW) were favoured by the FIT-type support schemes. - Highlights: • Unsubsidised residential PV is uneconomical in Finland. • Support rate must be 2 times the electricity price for reasonable payback time. • Even using all electricity on-site is not profitable enough without support. • Assumed real interest rate had great influence on payback time. • Hourly electricity prices are much lower than average values from Finnish statistics

  18. Life-cycle energy implications of different residential settings: Recognizing buildings, travel, and public infrastructure

    International Nuclear Information System (INIS)

    Nichols, Brice G.; Kockelman, Kara M.

    2014-01-01

    The built environment can be used to influence travel demand, but very few studies consider the relative energy savings of such policies in context of a complex urban system. This analysis quantifies the day-to-day and embodied energy consumption of four different neighborhoods in Austin, Texas, to examine how built environment variations influence various sources of urban energy consumption. A microsimulation combines models for petroleum use (from driving) and residential and commercial power and natural gas use with rigorously measured building stock and infrastructure materials quantities (to arrive at embodied energy). Results indicate that the more suburban neighborhoods, with mostly detached single-family homes, consume up to 320% more embodied energy, 150% more operational energy, and about 160% more total life-cycle energy (per capita) than a densely developed neighborhood with mostly low-rise-apartments and duplexes. Across all neighborhoods, operational energy use comprised 83 to 92% of total energy use, and transportation sources (including personal vehicles and transit, plus street, parking structure, and sidewalk infrastructure) made up 44 to 47% of the life-cycle energy demands tallied. Energy elasticity calculations across the neighborhoods suggest that increased population density and reduced residential unit size offer greatest life-cycle energy savings per capita, by reducing both operational demands from driving and home energy use, and from less embodied energy from construction. These results provide measurable metrics for comparing different neighborhood styles and develop a framework to anticipate energy-savings from changes in the built environment versus household energy efficiency. - Highlights: • Total energy demands (operational and embodied) of 5 Austin settings were studied here. • Suburban settings consume much more energy than densely developed neighborhoods. • Transportation sources make up 44 to 47% of the total energy

  19. Analysis on Energy Consumption and Indoor Environment in Kunming, China

    Directory of Open Access Journals (Sweden)

    Tianchi Hu

    2012-10-01

    Full Text Available The purposes of this study are to investigate and analyze the actual conditions of the urban residential energy consumption, and hence to ascertain what will be the important factors that influence the annual energy consumption in Kunming, which has a mild climate. The questionnaire surveys reveal building characteristics, housing appliances, household characteristics, indoor thermal environment and aspects of life style, during winter and summer seasons. The questionnaire analyses show that only 5% of the investigated households have air conditioning, and 12% have heating appliances. Most households use solar energy as a water heater energy source because the sunshine hours in Kunming are long. The energy consumption analyses show that the average annual energy consumption of households in Kunming reached 12.2 GJ, and cooking accounted for 5.3 GJ, which is the largest part. Most of the time in summer, the outdoor temperature is lower than living room and bedroom temperatures; thus, natural ventilation is a useful cooling method for households in Kunming. The absolute humidity in summer is about 11 g/kg, while in winter it is about 5 g/kg. The influence factor analyses show that building construction year, water heater type and annual income are important influential factors on annual energy consumption.

  20. A Hierarchical Transactive Energy Management System for Energy Sharing in Residential Microgrids

    Directory of Open Access Journals (Sweden)

    Most Nahida Akter

    2017-12-01

    Full Text Available This paper presents an analytical framework to develop a hierarchical energy management system (EMS for energy sharing among neighbouring households in residential microgrids. The houses in residential microgrids are categorized into three different types, traditional, proactive and enthusiastic, based on the inclusion of solar photovoltaic (PV systems and battery energy storage systems (BESSs. Each of these three houses has an individual EMS, which is defined as the primary EMS. Two other EMSs (secondary and tertiary are also considered in the proposed hierarchical energy management framework for the purpose of effective energy sharing. The intelligences of each EMS are presented in this paper for the purpose of energy sharing in a residential microgrid along with the priorities. The effectiveness of the proposed hierarchical framework is evaluated on a residential microgrid in Australia. The analytical results clearly reflect that the proposed scheme effectively and efficiently shares the energy among neighbouring houses in a residential microgrid.

  1. Analysis of variables that influence electric energy consumption in commercial buildings in Brazil

    Energy Technology Data Exchange (ETDEWEB)

    Carvalho, M.M.Q. [Technical Drawing Department, Fluminense Federal University, Niteroi, Rio de Janeiro (Brazil); Energy Planning Program, Alberto Luiz Coimbra Institute for Research and Graduate Studies in Engineering - COPPE, Federal University of Rio de Janeiro, Rio de Janeiro (Brazil); La Rovere, E.L. [Energy Planning Program, Alberto Luiz Coimbra Institute for Research and Graduate Studies in Engineering - COPPE, Federal University of Rio de Janeiro, Rio de Janeiro (Brazil); Goncalves, A.C.M. [Program for Graduate Studies in Architecture, School of Architecture and Urbanism, Federal University of Rio de Janeiro, Rio de Janeiro (Brazil)

    2010-12-15

    Air conditioning systems in commercial buildings in Brazil are responsible for about 70% share of their energy consumption. According to BEN 2009 (The Brazilian Energy Balance), energy consumption in the residential, commercial and public sectors, where most buildings are found, represents 9.3% of the final energy consumption in Brazil. This paper aims to examine design factors that could contribute to greater reductions of electric energy consumption in commercial buildings, with emphasis on air conditioning. Simulations were carried out using shades and different types of glass, walls, flooring and roofing. The VisualDOE 2.61 was used as a simulation tool for calculating energy consumption of the analyzed building. This paper shows that the energy performance of the building is considerably influenced by the facade protection and shows, through tables, the impact that decisions related to the top-level and facades have on the energy consumption of the building. The authors concluded that the results confirm the importance of taking energy use into account in the very first design stages of the project, since appropriate choices of types of glass, external shading and envelope materials have a significant impact on energy consumption. (author)

  2. Psychological strategies to reduce energy consumption: project summary report

    Energy Technology Data Exchange (ETDEWEB)

    Becker, L J; Seligman, C; Darley, J M

    1979-06-30

    This report reviews the research conducted in connection with a project to apply psychological theory and procedures to the problems of encouraging residential energy conservation. A major part of the project involved surveys of residents' energy-related attitudes. The best (and only consistent) attitudinal predictor of residents' actual energy consumption was their attitude about thermal comfort. A number of other attitudes that could conceivably have been related to consumption, such as attitudes about the reality of the crisis, were not found to be related to consumption. Another major focus of the project was on the effectiveness of feedback (that is, giving residents information about their energy use) as an aid to residents' conservation efforts. A series of experiments demonstrated that frequent, credible energy-consumption feedback, coupled with encouragement to adopt a reasonable but difficult energy-conservation goal, could facilitate conservation. However, these studies also demonstrated that residents could not be given just any kind of information about their energy use as feedback and that even proper feedback would not lead to conservation in all households. Conditions that are crucial for the success of feedback as a conservation aid are discussed. Other studies conducted by the project looked at the effect on energy consumption of (1) a device to reduce air-conditioning waste by signalling when it is cool outside, (2) an automatic multi-setback thermostat, and (3) utility companies' average payment plans. A survey of residents' knowledge of their energy use also was conducted. 23 references.

  3. Wood energy for residential heating in Alaska: current conditions, attitudes, and expected use

    Science.gov (United States)

    David L. Nicholls; Allen M. Brackley; Valerie. Barber

    2010-01-01

    This study considered three aspects of residential wood energy use in Alaska: current conditions and fuel consumption, knowledge and attitudes, and future use and conditions. We found that heating oil was the primary fuel for home heating in southeast and interior Alaska, whereas natural gas was used most often in south-central Alaska (Anchorage). Firewood heating...

  4. An International Project on Indoor Air Quality Design and Control in Low Energy Residential Buildings

    DEFF Research Database (Denmark)

    Rode, Carsten; Abadie, Marc; Qin, Menghao

    2016-01-01

    focal points to limiting energy consumption for thermally conditioning the indoor environment will be to possibly reducing the ventilation rate, or making it in a new way demand controlled. However, this must be done such that it does not have adverse effects on indoor air quality (IAQ). Annex 68......In order to achieve nearly net zero energy use, both new and energy refurbished existing buildings will in the future need to be still more efficient and optimized. Since such buildings can be expected to be already well insulated, airtight, and have heat recovery systems installed, one of the next......, Indoor Air Quality Design and Control in Low Energy Residential Buildings, is a project under IEA’s Energy Conservation in Buildings and Communities Program (EBC), which will endeavor to investigate how future residential buildings are able to have very high energy performance whilst providing...

  5. IEA Project on Indoor Air Quality Design and Control in Low Energy Residential Buildings

    DEFF Research Database (Denmark)

    Rode, Carsten; Abadie, Marc; Qin, Menghao

    2016-01-01

    with heat recovery systems, one of the next focal points to limiting energy consumption for thermally conditioning the indoor environment will be to possibly reducing the ventilation rate, or to make it in a new way demand controlled. However, this must be done such that it has no have adverse effects...... on Indoor Air Quality (IAQ). Annex 68, Indoor Air Quality Design and Control in Low Energy Residential Buildings, is a project under IEA’s Energy Conservation in Buildings and Communities Program (EBC), which will endeavor to investigate how future residential buildings are able to have very high energy...... performance whilst providing comfortable and healthy indoor environments. New paradigms for demand control of ventilation will be investigated, which consider the pollution loads and occupancy in buildings. The thermal and moisture conditions of such will be considered because of interactions between...

  6. A measure to manage approach to characterizing the energy impact of residential building stocks

    Directory of Open Access Journals (Sweden)

    Afamia Elnakat

    2016-05-01

    Full Text Available The city of San Antonio is the seventh largest in the United States by population and the second in the state of Texas, with a population of over 1.3 million people. As one of the fastest growing cities, the San Antonio residential real estate market has expanded to meet the demands of the growing population. Managing the energy footprint of single-family houses can be enhanced by big data analysis of combined metered energy consumption and building infrastructure characteristics. This study analyzes the energy intensity of 389,160 single family detached homes and identifies energy utilization trends across various residential building stock size and vintage categories. Supported by the “measure to manage” premise, this study highlights the value of this characterization as a forecasting and planning tool for sustainable growth and a more engaged consumer.

  7. Computer program for sizing residential energy recovery ventilator

    International Nuclear Information System (INIS)

    Koontz, M.D.; Lee, S.M.; Spears, J.W.; Kesselring, J.P.

    1991-01-01

    Energy recovery ventilators offer the prospect of tighter control over residential ventilation rates than manual methods, such as opening windows, with a lesser energy penalty. However, the appropriate size of such a ventilator is not readily apparent in most situations. Sizing of energy recovery ventilation software was developed to calculate the size of ventilator necessary to satisfy ASHRAE Standard 62-1989, Ventilation for Acceptable Air Quality, or a user-specified air exchange rate. Inputs to the software include house location, structural characteristics, house operations and energy costs, ventilation characteristics, and HVAC system COP/efficiency. Based on these inputs, the program estimates the existing air exchange rate for the house, the ventilation rate required to meet the ASHRAE standard or user-specified air exchange rate, the size of the ventilator needed to meet the requirement, and the expected changes in indoor air quality and energy consumption. In this paper an illustrative application of the software is provided

  8. The impact of residential density on vehicle usage and fuel consumption: Evidence from national samples

    DEFF Research Database (Denmark)

    Kim, Jinwon; Brownstone, David

    2013-01-01

    This paper investigates the impact of residential density on household vehicle usage and fuel consumption. We estimate a simultaneous equations system to account for the potential residential self-selection problem. While most previous studies focus on a specific region, this paper uses national...

  9. Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data.

    Science.gov (United States)

    Oprea, Simona-Vasilica; Pîrjan, Alexandru; Căruțașu, George; Petroșanu, Dana-Mihaela; Bâra, Adela; Stănică, Justina-Lavinia; Coculescu, Cristina

    2018-05-05

    In this paper, we report a study having as a main goal the obtaining of a method that can provide an accurate forecast of the residential electricity consumption, refining it up to the appliance level, using sensor recorded data, for residential smart homes complexes that use renewable energy sources as a part of their consumed electricity, overcoming the limitations of not having available historical meteorological data and the unwillingness of the contractor to acquire such data periodically in the future accurate short-term forecasts from a specialized institute due to the implied costs. In this purpose, we have developed a mixed artificial neural network (ANN) approach using both non-linear autoregressive with exogenous input (NARX) ANNs and function fitting neural networks (FITNETs). We have used a large dataset containing detailed electricity consumption data recorded by sensors, monitoring a series of individual appliances, while in the NARX case we have also used timestamps datasets as exogenous variables. After having developed and validated the forecasting method, we have compiled it in view of incorporating it into a cloud solution, being delivered to the contractor that can provide it as a service for a monthly fee to both the operators and residential consumers.

  10. A prospective economic assessment of residential PV self-consumption with batteries and its systemic effects, and the implications for public policies: the French case in 2030

    International Nuclear Information System (INIS)

    Yu, Hyun Jin Julie

    2017-01-01

    Over the last decade, the price of PV modules has fallen largely due to the globalization of the PV sector. If residential PV systems coupled with batteries become economically competitive in the near future, end-users will be willing to switch to the self-consumption of PV electricity instead of using power from the network. If the transition of PV self-consumption in the residential sector occurs massively or suddenly, the national energy system would be faced with a radical change. This article analyses the economic feasibility of French residential PV systems combined with Li-ion batteries in 2030 to anticipate the possible change in future energy systems. It also includes a stakeholder analysis with respect to the PV self-consumption model to analyse the systemic effects of PV integration into the electricity system. Our study provides a theoretical explanation of the impact on the current electricity market and quantifies the expected impact on the most influential stakeholder group. The ultimate objective is to help policy-makers forecast possible scenarios for PV self-consumption so they can prepare for the future transition with strategic actions. By way of conclusion, we discuss the policy implications and elaborate policy recommendations based on the results of this study. (author)

  11. Effects of socioeconomic factors on household appliance, lighting, and space cooling electricity consumption

    Energy Technology Data Exchange (ETDEWEB)

    Aydinalp, M. [Itron Inc., Boston, MA (United States); Ismet Ugursal, V.; Fung, A.S. [Dalhousie University, Halifax (Canada). Dept. of Mechanical Engineering

    2003-07-01

    Two methods are currently used to model residential energy consumption at the national or regional level: the engineering method and the conditional demand analysis (CDA) method. One of the major difficulties associated with the use of engineering models is the inclusion of consumer behaviour and socioeconomic factors that have significant effects on the residential energy consumption. The CDA method can handle socioeconomic factors if they are included in the model formulation. However, the multicollinearity problem and the need for a very large amount of data make the use of CDA models very difficult. It is shown in this paper that the neural network (NN) method can be used to model the residential energy consumption with the inclusion of socioeconomic factors. The appliances, lighting, and cooling component of the NN based energy consumption model developed for the Canadian residential sector is presented here and the effects of some socioeconomic factors on the residential energy consumption are examined using the model. (author)

  12. Decomposing final energy use for heating in the residential sector in Austria

    International Nuclear Information System (INIS)

    Holzmann, Angela; Adensam, Heidelinde; Kratena, Kurt; Schmid, Erwin

    2013-01-01

    In Austria a considerable number of measures have been implemented to reduce final energy use for residential heating since the 1990s. The aim of this analysis is to investigate, why – despite these implemented measures – final energy use for heating has not decreased in the expected way. The impact of eight factors on final energy use for heating is quantified by applying the Logarithmic Mean Divisia Index (LMDI I) method. The dataset covers the sector of private households in Austria for the period from 1993 to 2009. The main findings of the analysis are: (1) while technical improvements reduce final energy use for heating significantly, rising comfort needs nearly outweigh these savings. (2) Consumer behaviour reduces calculated final energy use considerably. (3) The extent of this reduction is declining significantly in the period observed. (4) The growing share of single-family houses has increased energy demand for heating in the observed period, though a reversal of this trend is detected from 2007 onwards. (5) The impact of growing floor space per person is the major effect revealed by the analysis. (6) Weather conditions have a major impact on annual fluctuations of energy consumption. -- Highlights: •We did an Index decomposition analysis of the Austrian residential heating demand. •Eight impact factors on heating demand have been identified. •Rising comfort needs outweigh savings caused by technical improvements. •Consumer behaviour has a major impact on residential final energy use for heating. •Weather changes play a major role when analysing annual changes in energy use

  13. Exploring residential energy consumers' willingness to accept and pay to offset their CO2-emission

    DEFF Research Database (Denmark)

    Yang, Yingkui; Solgaard, Hans Stubbe

    2015-01-01

    to pay for carbon offset. Finally, the ordered logit model is used in modelling willing to pay for carbon offset. Findings The results show that there is significant support from residential energy consumer to offset their CO2 emission from electricity consumption. The WTP is motivated by consumers...

  14. Residential building envelope heat gain and cooling energy requirements

    International Nuclear Information System (INIS)

    Lam, Joseph C.; Tsang, C.L.; Li, Danny H.W.; Cheung, S.O.

    2005-01-01

    We present the energy use situation in Hong Kong from 1979 to 2001. The primary energy requirement (PER) nearly tripled during the 23-year period, rising from 195,405 TJ to 572,684 TJ. Most of the PER was used for electricity generation, and the electricity use in residential buildings rose from 7556 TJ (2099 GWh) to 32,799 TJ (9111 GWh), an increase of 334%. Air-conditioning accounted for about 40% of the total residential sector electricity consumption. A total of 144 buildings completed in the month of June during 1992-2001 were surveyed. Energy performance of the building envelopes was investigated in terms of the overall thermal transfer value (OTTV). To develop the appropriated parameters used in OTTV calculation, long-term measured weather data such as ambient temperature (1960-2001), horizontal global solar radiation (1992-2001) and global solar radiation on vertical surfaces (1996-2001) were examined. The OTTV found varied from 27 to 44 W/m 2 with a mean value of 37.7 W/m 2 . Building energy simulation technique using DOE-2.1E was employed to determine the cooling requirements and hence electricity use for building envelope designs with different OTTVs. It was found that cooling loads and electricity use could be expressed in terms of a simple two-parameter linear regression equation involving OTTV

  15. A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand

    International Nuclear Information System (INIS)

    Orea, Luis; Llorca, Manuel; Filippini, Massimo

    2015-01-01

    This paper brings attention to the fact that the energy demand frontier model introduced by Filippini and Hunt (2011, 2012) is closely connected to the measurement of the so-called rebound effect associated with improvements in energy efficiency. In particular, we show that their model implicitly imposes a zero rebound effect, which contradicts most of the available empirical evidence on this issue. We relax this restrictive assumption through the modelling of a rebound-effect function that mitigates or intensifies the effect of an efficiency improvement on energy consumption. We illustrate our model with an empirical application that aims to estimate a US frontier residential aggregate energy demand function using panel data for 48 states over the period 1995 to 2011. Average values of the rebound effect in the range of 56–80% are found. Therefore, policymakers should be aware that most of the expected energy reduction from efficiency improvements may not be achieved. - Highlights: • A new approach to measuring rebound effects in energy consumption is presented. • We illustrate our proposal with an application to US residential energy demand. • Relatively large rebound effects in the range of 56–80% are found. • Energy-inefficient states tend to exhibit low rebound effects. • We identify states where energy-saving policies should be more effective

  16. ENERGY STAR Certified Residential Freezers

    Data.gov (United States)

    U.S. Environmental Protection Agency — Certified models meet all ENERGY STAR requirements as listed in the Version 5.0 ENERGY STAR Program Requirements for Residential Refrigerators and Freezers that are...

  17. ENERGY STAR Certified Residential Refrigerators

    Data.gov (United States)

    U.S. Environmental Protection Agency — Certified models meet all ENERGY STAR requirements as listed in the Version 5.0 ENERGY STAR Program Requirements for Residential Refrigerators and Freezers that are...

  18. Influence of Hydrogen-Based Storage Systems on Self-Consumption and Self-Sufficiency of Residential Photovoltaic Systems

    Directory of Open Access Journals (Sweden)

    Christian Pötzinger

    2015-08-01

    Full Text Available This paper analyzes the behavior of residential solar-powered electrical energy storage systems. For this purpose, a simulation model based on MATLAB/Simulink is developed. Investigating both short-time and seasonal hydrogen-based storage systems, simulations on the basis of real weather data are processed on a timescale of 15 min for a consideration period of 3 years. A sensitivity analysis is conducted in order to identify the most important system parameters concerning the proportion of consumption and the degree of self-sufficiency. Therefore, the influences of storage capacity and of storage efficiencies are discussed. A short-time storage system can increase the proportion of consumption by up to 35 percentage points compared to a self-consumption system without storage. However, the seasonal storing system uses almost the entire energy produced by the photovoltaic (PV system (nearly 100% self-consumption. Thereby, the energy drawn from the grid can be reduced and a degree of self-sufficiency of about 90% is achieved. Based on these findings, some scenarios to reach self-sufficiency are analyzed. The results show that full self-sufficiency will be possible with a seasonal hydrogen-based storage system if PV area and initial storage level are appropriate.

  19. Energy savings in Danish residential building stock

    DEFF Research Database (Denmark)

    Tommerup, Henrik M.; Svendsen, Svend

    2006-01-01

    a short account of the technical energy-saving possibilities that are present in existing dwellings and presents a financial methodology used for assessing energy-saving measures. In order to estimate the total savings potential detailed calculations have been performed in a case with two typical...... buildings representing the residential building stock and based on these calculations an assessment of the energy-saving potential is performed. A profitable savings potential of energy used for space heating of about 80% is identified over 45 years (until 2050) within the residential building stock......A large potential for energy savings exists in the Danish residential building stock due to the fact that 75% of the buildings were constructed before 1979 when the first important demands for energy performance of building were introduced. It is also a fact that many buildings in Denmark face...

  20. Energy consumption renewable energy development and environmental impact in Algeria - Trend for 2030

    Science.gov (United States)

    Sahnoune, F.; Imessad, K.; Bouakaz, D. M.

    2017-02-01

    The study provides a detailed analysis of the energy production and consumption in Algeria and the associated CO2 emissions. Algeria is an important energy producer (oil and natural gas). The production is currently around 155 MToe. The total primary energy consumption amounted to about 58 MToe equivalent to 1.46 Toe/capita. The energy demand is still increasing, an average annual growth rate of more than 6% per year during the last decade. The growth rate for electricity production was almost twice that of the total energy consumption. In 2015, the installed capacity of the electricity generation plants reached 17.6 GW. Electricity consumption was 64.6 TWh and is expected to reach at least 75 TWh in 2020 and 130 TWh in 2030. The already high electricity demand will double by 2030. In the structure of final energy consumption, the transport sector ranks first (36%), natural gas consumption ranks second (28.5%), followed by electricity production (27.7%). By activity, the energy sector is the main source of CO2 emissions, about ¾ of the total and this sector has the most important potential for mitigation measures. CO2 emissions from this energy sector amounted to 112.2 MT CO2 as follows: 33% transport, 31% electricity production and 26% from natural gas combustion for residential use. The integration of renewable sources in the energy mix represents for Algeria a major challenge. In 2015, Algeria adopted an ambitious program for development of renewable energy. The target is to achieve 22 GW capacity of electricity from renewable by 2030 to reach a rate of 27 % of national electricity generation through renewable sources. By implementing this program, CO2 emissions of power generation will be reduced by more than 18% in 2030.

  1. ENERGY STAR Certified Residential Dishwashers

    Data.gov (United States)

    U.S. Environmental Protection Agency — Certified models meet all ENERGY STAR requirements as listed in the Version 6.0 ENERGY STAR Program Requirements for Residential Dishwashers that are effective as of...

  2. Estimating the energy and exergy utilization efficiencies for the residential-commercial sector: an application

    International Nuclear Information System (INIS)

    Utlu, Zafer; Hepbasli, Arif

    2006-01-01

    The main objectives in carrying out the present study are twofold, namely to estimate the energy and exergy utilization efficiencies for the residential-commercial sector and to compare those of various countries with each other. In this regard, Turkey is given as an illustrative example with its latest figures in 2002 since the data related to the following years are still being processed. Total energy and exergy inputs in this year are calculated to be 3257.20 and 3212.42 PJ, respectively. Annual fuel consumptions in space heating, water heating and cooking activities as well as electrical energy uses by appliances are also determined. The energy and exergy utilization efficiency values for the Turkish residential-commercial sector are obtained to be 55.58% and 9.33%, respectively. Besides this, Turkey's overall energy and exergy utilization efficiencies are found to be 46.02% and 24.99%, respectively. The present study clearly indicates the necessity of the planned studies toward increasing exergy utilization efficiencies in the sector studied

  3. Analysis and Optimization of Building Energy Consumption

    Science.gov (United States)

    Chuah, Jun Wei

    Energy is one of the most important resources required by modern human society. In 2010, energy expenditures represented 10% of global gross domestic product (GDP). By 2035, global energy consumption is expected to increase by more than 50% from current levels. The increased pace of global energy consumption leads to significant environmental and socioeconomic issues: (i) carbon emissions, from the burning of fossil fuels for energy, contribute to global warming, and (ii) increased energy expenditures lead to reduced standard of living. Efficient use of energy, through energy conservation measures, is an important step toward mitigating these effects. Residential and commercial buildings represent a prime target for energy conservation, comprising 21% of global energy consumption and 40% of the total energy consumption in the United States. This thesis describes techniques for the analysis and optimization of building energy consumption. The thesis focuses on building retrofits and building energy simulation as key areas in building energy optimization and analysis. The thesis first discusses and evaluates building-level renewable energy generation as a solution toward building energy optimization. The thesis next describes a novel heating system, called localized heating. Under localized heating, building occupants are heated individually by directed radiant heaters, resulting in a considerably reduced heated space and significant heating energy savings. To support localized heating, a minimally-intrusive indoor occupant positioning system is described. The thesis then discusses occupant-level sensing (OLS) as the next frontier in building energy optimization. OLS captures the exact environmental conditions faced by each building occupant, using sensors that are carried by all building occupants. The information provided by OLS enables fine-grained optimization for unprecedented levels of energy efficiency and occupant comfort. The thesis also describes a retrofit

  4. Energy in the residential building. Electricity, heat, e-mobility. 2. rev. and enl. ed.

    International Nuclear Information System (INIS)

    Schwarzburger, Heiko

    2017-01-01

    Photovoltaics, heat pumps and fuel cells offer enormous potential for sustainable energy supply in residential buildings. Solar thermal energy and wood-fired boilers also play an important role in refurbishment. Due to the wide range of possible combinations, the wishes of building owners and homeowners for an ecologically and economically individually adapted energy concept can be fulfilled accurately. This book provides you with a holistic approach to the residential building and its supply of electricity, heat and water. All processes that play a role in the house's energy consumption are examined in their entirety for their potentials and potential savings. The author analyses and describes in detail the resources of buildings and their surroundings - and how they can be used for a truly independent supply. The focus is on reducing energy consumption and costs, the generation and supply of energy from renewable sources and energy storage - considered in new construction and modernisation. The supply of water is also dealt with if it touches on energy issues. The author draws attention to standards and regulations and gives practical advice for planning and installation. The focus is on the so-called sector coupling: electricity from the sun, wind and hydrogen is used to supply electrical consumers in the home, charging technology for electric vehicles, hot water and heating. The time of the boilers and combustion engines has elapsed. Clean electricity and digital controls - power and intelligence - determine the regenerative building technology. [de

  5. Methods for estimating residential building energy consumption by application of artificial intelligence; Methode d'estimation energetique des batiments d'habitation basee sur l'application de l'intelligence artificielle

    Energy Technology Data Exchange (ETDEWEB)

    Kajl, S.; Roberge, M-A. [Quebec Univ., Ecole de technologie superieure, Montreal, PQ (Canada)

    1999-02-01

    A method for estimating energy requirements in buildings five to twenty-five stories in height using artificial intelligence techniques is proposed. In developing this technique, the pre-requisites specified were rapid execution, the ability to generate a wide range of results, including total energy consumption, power demands, heating and cooling consumption, and accuracy comparable to that of a detailed building energy simulation software. The method proposed encompasses (1) the creation of various databases such as classification of the parameters used in the energy simulation, modelling using the Department of Energy (DOE)-2 software and validation of the DOE-2 models; (2) application of the neural networks inclusive of teaching the neural network and validation of the neural network's learning; (3) designing an energy estimate assessment (EEA) system for residential buildings; and (4) validation of the EEA system. The system has been developed in the MATLAB software environment, specifically for the climate in the Ottawa region. For use under different climatic conditions appropriate adjustments need to be made for the heating and cooling consumption. 12 refs., tabs., figs., 2 appendices.

  6. Assessment of Alternative Scenarios for CO2 Reduction Potential in the Residential Building Sector

    Directory of Open Access Journals (Sweden)

    Young-Sun Jeong

    2017-03-01

    Full Text Available The South Korean government announced its goals of reducing the country’s CO2 emissions by up to 30% below the business as usual (BAU projections by 2020 in 2009 and 37% below BAU projections by 2030 in 2015. This paper explores the potential energy savings and reduction in CO2 emissions offered by residential building energy efficiency policies and plans in South Korea. The current and future energy consumption and CO2 emissions in the residential building were estimated using an energy–environment model from 2010 to 2030. The business as usual scenario is based on the energy consumption characteristic of residential buildings using the trends related to socio-economic prospects and the number of dwellings. The alternative scenarios took into account energy efficiency for new residential buildings (scenario I, refurbishment of existing residential buildings (scenario II, use of highly efficient boilers (scenario III, and use of a solar thermal energy system (scenario IV. The results show that energy consumption in the residential building sector will increase by 33% between 2007 and 2030 in the BAU scenario. Maximum reduction in CO2 emissions in the residential building sector of South Korea was observed by 2030 in scenario I. In each alternative scenario analysis, CO2 emissions were 12.9% lower than in the business as usual scenario by the year 2030.

  7. Residential-commercial energy input estimation based on genetic algorithm (GA) approaches: an application of Turkey

    International Nuclear Information System (INIS)

    Ozturk, H.K.; Canyurt, O.E.; Hepbasli, A.; Utlu, Z.

    2004-01-01

    The main objective of the present study is to develop the energy input estimation equations for the residential-commercial sector (RCS) in order to estimate the future projections based on genetic algorithm (GA) notion and to examine the effect of the design parameters on the energy input of the sector. For this purpose, the Turkish RCS is given as an example. The GA Energy Input Estimation Model (GAEIEM) is used to estimate Turkey's future residential-commercial energy input demand based on gross domestic product (GDP), population, import, export, house production, cement production and basic house appliances consumption figures. It may be concluded that the three various forms of models proposed here can be used as an alternative solution and estimation techniques to available estimation techniques. It is also expected that this study will be helpful in developing highly applicable and productive planning for energy policies. (author)

  8. Survey of the actual state of energy consumption in the residential/commercial sector; Minsei bumon energy shohi jittai chosa

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-03-01

    With relation to energy demand in the business field, the paper conducted a questionnaire survey of the actual state and preparation of the existing literature and data. The purpose is to make the consumption structure and trend clear and to make it useful for the development/introduction of new energy and petroleum substitution energy in the future. The unit energy consumption in the business type, `office buildings` decreased from 227.0 Mcal/m{sup 2} per year in the fiscal 1990 survey to 179.5 Mcal/m{sup 2} per year in the fiscal 1995 survey. The energy type shifted from petroleum to electricity and gas. The unit energy consumption in the business type, `wholesale/retail` slightly decreased from 360.9 Mcal/m{sup 2} per year in the previous survey to 342.7 Mcal/{sup 2} per year in the survey this time. The energy type showed the same trend as in the case of office buildings. The unit energy consumption in the business type, `restaurants` increased from 573.3 Mcal/m{sup 2} per year in the previous survey to 622.8 Mcal/m{sup 2} per year in the survey this time. As energy type, electricity increased while gas remarkably decreased. 55 refs., 155 figs., 29 tabs.

  9. The energy-water nexus: are there tradeoffs between residential energy and water consumption in arid cities?

    Science.gov (United States)

    Ruddell, Darren M; Dixon, P Grady

    2014-09-01

    Water scarcity, energy consumption, and air temperature regulation are three critical resource and environmental challenges linked to urban population growth. While appliance efficiency continues to increase, today's homes are larger and residents are using more energy-consuming devices. Recent research has often described the energy-water nexus as a "tradeoff" between energy and water due to reduced temperatures resulting from irrigated vegetation. Accordingly, some arid cities have implemented landscape-conversion programs that encourage homeowners to convert their yards from grass (mesic) to drought-tolerant (xeric) landscapes to help conserve water resources. We investigated these relationships in Phoenix, Arizona by examining energy and water data for the summer months of June-September 2005 while temperature variability was analyzed from a local heat wave. Results show parallel consumption patterns with energy and water use strongly correlated and newer homes using more of both. The counterintuitive findings show that "drought-resistant" models may not be beneficial for community health, environment, or economics and that this issue is further complicated by socio-economic variables.

  10. Scenario analysis of energy saving and CO_2 emissions reduction potentials to ratchet up Japanese mitigation target in 2030 in the residential sector

    International Nuclear Information System (INIS)

    Wakiyama, Takako; Kuramochi, Takeshi

    2017-01-01

    This paper assesses to what extent CO_2 emissions from electricity in the residential sector can be further reduced in Japan beyond its post-2020 mitigation target (known as “Intended Nationally Determined Contribution (INDC)”). The paper examines the reduction potential of electricity demand and CO_2 emissions in the residential sector by conducting a scenario analysis. Electricity consumption scenarios are set up using a time-series regression model, and used to forecast the electricity consumption patterns to 2030. The scenario analysis also includes scenarios that reduce electricity consumption through enhanced energy efficiency and energy saving measures. The obtained results show that Japan can reduce electricity consumption and CO_2 emissions in the residential sector in 2030 more than the Japanese post-2020 mitigation target indicates. At the maximum, the electricity consumption could be reduced by 35 TWh, which contributes to 55.4 MtCO_2 of emissions reduction in 2030 compared to 2013 if the voluntarily targeted CO_2 intensity of electricity is achieved. The result implies that Japan has the potential to ratchet up post-2020 mitigation targets discussed under the Paris Agreement of the United Nations Framework Convention on Climate Change (UNFCCC). - Highlights: • Further reduction of electricity consumption is possible beyond Japan's post-2020 mitigation target. • Energy saving efforts by households and incentives to reduce electricity demands are required. • Improvement of CO_2 intensity from electricity is a key factor in the reduction of CO_2 emissions.

  11. Residential energy use in one-family households with natural gas provision in a city of the Patagonian Andean region

    International Nuclear Information System (INIS)

    Gonzalez, A.D.; Carlsson-Kanyama, A.; Crivelli, E.S.; Gortari, S.

    2007-01-01

    Residential energy use was studied in one-family houses in the city of Bariloche, in the Patagonian Andean region of Argentina. A survey was conducted of households connected to the natural gas network to correlate use of gas, living area and number of inhabitants per house. The annual average consumption of gas was found to be 169 GJ, and consumption of electricity 8 GJ. This total energy use per household per year is almost double the average value reported for Stockholm, Sweden, although both locations have similar heating requirements. The difference was mainly due to heating energy consumption per unit living space, which in Bariloche was 1530 MJ/m 2 per year, while in Stockholm the average is around 570 MJ/m 2 per year. The high energy consumption in Bariloche is explained primarily by the construction characteristics of the buildings, and secondarily by the efficiency of the heating devices used. We were able to conclude that subsidies on natural gas tariffs given to the residential sector do not promote a rational use of the resource. Furthermore, almost 40% of the population (mostly households in poverty) are not connected to the subsidised gas resource, but pay prices for alternative fuels that are between 10- and 15 times higher. Policies to improve buildings and appliances would reduce emissions and make access to energy more equitable

  12. The residential dual-energy program of Hydro-Quebec: An economic analysis

    International Nuclear Information System (INIS)

    Bergeron, C.; Bernard, J.-T.

    1991-01-01

    Higher than expected electricity consumption in recent years and increasing objections to capacity expansion on environmental grounds have led Quebec's government-owned electric utility, Hydro-Quebec, to launch an innovative program to reduce peak period residential electric heating demand. When the outside temperature drops below -12 degree C, customers who have opted for the program are charged 10 cents/kWh for their electricity (substantially above the 4.46 cents/kWh paid by normal residential customers) and they are automatically switched to a non-electric heating source, whereas above -12 degree C they pay 2.75 cents/kWh for all uses. A cost benefit analysis of this dual energy program finds that if, as Hydro-Quebec forecasts, 150,000 residential customers were to opt for this program, they would benefit by $19.0 million per year, while the utility and the government would lose $21.6 million and $1.6 million respectively, with a total net loss to Quebec society of $4.25 million a year. 12 refs., 4 figs., 6 tabs

  13. Analysing the dynamics of transitions in residential water consumption in the Netherlands

    NARCIS (Netherlands)

    Agudelo-Vera, C.M.; Blokker, E.J.M.; Buscher, C.H.; Vreeburg, J.H.G.

    2014-01-01

    Water infrastructure is inherently a socio-technical system. Rapidly changing urban trends and long-term uncertainties make water infrastructure management complex. This paper analyses the dynamics of residential water consumption in the Netherlands since 1900. During this period, different drivers

  14. Optimal replacement of residential air conditioning equipment to minimize energy, greenhouse gas emissions, and consumer cost in the US

    International Nuclear Information System (INIS)

    De Kleine, Robert D.; Keoleian, Gregory A.; Kelly, Jarod C.

    2011-01-01

    A life cycle optimization of the replacement of residential central air conditioners (CACs) was conducted in order to identify replacement schedules that minimized three separate objectives: life cycle energy consumption, greenhouse gas (GHG) emissions, and consumer cost. The analysis was conducted for the time period of 1985-2025 for Ann Arbor, MI and San Antonio, TX. Using annual sales-weighted efficiencies of residential CAC equipment, the tradeoff between potential operational savings and the burdens of producing new, more efficient equipment was evaluated. The optimal replacement schedule for each objective was identified for each location and service scenario. In general, minimizing energy consumption required frequent replacement (4-12 replacements), minimizing GHG required fewer replacements (2-5 replacements), and minimizing cost required the fewest replacements (1-3 replacements) over the time horizon. Scenario analysis of different federal efficiency standards, regional standards, and Energy Star purchases were conducted to quantify each policy's impact. For example, a 16 SEER regional standard in Texas was shown to either reduce primary energy consumption 13%, GHGs emissions by 11%, or cost by 6-7% when performing optimal replacement of CACs from 2005 or before. The results also indicate that proper servicing should be a higher priority than optimal replacement to minimize environmental burdens. - Highlights: → Optimal replacement schedules for residential central air conditioners were found. → Minimizing energy required more frequent replacement than minimizing consumer cost. → Significant variation in optimal replacement was observed for Michigan and Texas. → Rebates for altering replacement patterns are not cost effective for GHG abatement. → Maintenance levels were significant in determining the energy and GHG impacts.

  15. France's energy balance for 2012: decreasing consumption in a depressed economic climate

    International Nuclear Information System (INIS)

    Rouquette, Celine

    2013-07-01

    France's final energy consumption, corrected for climate variations, dropped in 2012 (-0.7%), as a result of the slow-moving economy. Primary energy consumption by the energy sector was the most affected (-5 %), owing to lower nuclear power production and a drop in refining activities. There was also a marked drop in industry as a whole and in the tertiary sector, slightly less so in transport. This latter sector remained the main energy consuming sector, ahead of the residential sector and far ahead of industry and agriculture. The final energy consumption mix remained stable in 2012, with the exception of a sharp increase in the proportion of energy from renewable thermal sources. National primary energy production settled back at 136 Mtoe, representing a drop of 1% in relation to the record of 2011. France's energy bill in 2012 reached a new record level at around euro 69 billion, primarily because of the quasi-general increase in the prices of imported energy. The higher consumer prices also increased the bill for households. (authors)

  16. Study on the optimum PCM melting temperature for energy savings in residential buildings worldwide

    Science.gov (United States)

    Saffari, M.; de Gracia, A.; Fernández, C.; Zsembinszki, G.; Cabeza, L. F.

    2017-10-01

    To maintain comfort conditions in residential buildings along a full year period, the use of active systems is generally required to either supply heating or cooling. The heating and cooling demands strongly depend on the climatic conditions, type of building and occupants’ behaviour. The overall annual energy consumption of the building can be reduced by the use of renewable energy sources and/or passive systems. The use of phase change materials (PCM) as passive systems in buildings enhances the thermal mass of the envelope, and reduces the indoor temperature fluctuations. As a consequence, the overall energy consumption of the building is generally lower as compared to the case when no PCM systems are used. The selection of the PCM melting temperature is a key issue to reduce the energy consumption of the buildings. The main focus of this study is to determine the optimum PCM melting temperature for passive heating and cooling according to different weather conditions. To achieve that, numerical simulations were carried out using EnergyPlus v8.4 coupled with GenOpt® v3.1.1 (a generic optimization software). A multi-family residential apartment was selected from ASHRAE Standard 90.1- 2013 prototype building model, and different climate conditions were considered to determine the optimum melting temperature (in the range from 20ºC to 26ºC) of the PCM contained in gypsum panels. The results confirm that the optimum melting temperature of the PCM strongly depends on the climatic conditions. In general, in cooling dominant climates the optimum PCM temperature is around 26ºC, while in heating dominant climates it is around 20ºC. Furthermore, the results show that an adequate selection of the PCM as passive system in building envelope can provide important energy savings for both heating dominant and cooling dominant regions.

  17. Energy Impacts of Effective Range Hood Use for all U.S. Residential Cooking

    Energy Technology Data Exchange (ETDEWEB)

    Logue, Jennifer M; Singer, Brett

    2014-06-01

    Range hood use during residential cooking is essential to maintaining good indoor air quality. However, widespread use will impact the energy demand of the U.S. housing stock. This paper describes a modeling study to determine site energy, source energy, and consumer costs for comprehensive range hood use. To estimate the energy impacts for all 113 million homes in the U.S., we extrapolated from the simulation of a representative weighted sample of 50,000 virtual homes developed from the 2009 Residential Energy Consumption Survey database. A physics-based simulation model that considered fan energy, energy to condition additional incoming air, and the effect on home heating and cooling due to exhausting the heat from cooking was applied to each home. Hoods performing at a level common to hoods currently in U.S. homes would require 19?33 TWh [69?120 PJ] of site energy, 31?53 TWh [110-190 PJ] of source energy; and would cost consumers $1.2?2.1 billion (U.S.$2010) annually in the U.S. housing stock. The average household would spend less than $15 annually. Reducing required airflow, e.g. with designs that promote better pollutant capture has more energy saving potential, on average, than improving fan efficiency.

  18. The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Letschert, Virginie; McNeil, Michael A.

    2008-05-13

    With the emergence of China as the world's largest energy consumer, the awareness of developing country energy consumption has risen. According to common economic scenarios, the rest of the developing world will probably see an economic expansion as well. With this growth will surely come continued rapid growth in energy demand. This paper explores the dynamics of that demand growth for electricity in the residential sector and the realistic potential for coping with it through efficiency. In 2000, only 66% of developing world households had access to electricity. Appliance ownership rates remain low, but with better access to electricity and a higher income one can expect that households will see their electricity consumption rise significantly. This paper forecasts developing country appliance growth using econometric modeling. Products considered explicitly - refrigerators, air conditioners, lighting, washing machines, fans, televisions, stand-by power, water heating and space heating - represent the bulk of household electricity consumption in developing countries. The resulting diffusion model determines the trend and dynamics of demand growth at a level of detail not accessible by models of a more aggregate nature. In addition, the paper presents scenarios for reducing residential consumption through cost-effective and/or best practice efficiency measures defined at the product level. The research takes advantage of an analytical framework developed by LBNL (BUENAS) which integrates end use technology parameters into demand forecasting and stock accounting to produce detailed efficiency scenarios, which allows for a realistic assessment of efficiency opportunities at the national or regional level. The past decades have seen some of the developing world moving towards a standard of living previously reserved for industrialized countries. Rapid economic development, combined with large populations has led to first China and now India to emerging as 'energy

  19. Assessment of Emerging Renewable Energy-based Cogeneration Systemsfor nZEB Residential Buildings

    DEFF Research Database (Denmark)

    Carmo, Carolina; Dumont, Olivier; Nielsen, Mads P.

    2016-01-01

    Net Zero Energy Buildings (nZEB) imply reduced consumption by means of good insulation, passive strategies and highly efficient energy supply systems. Among others, micro cogeneration systems are considered as one of the system solutions with the highest potential to enable nZEB.These systems...... entail production of electricity and usable thermal energy (heat and/or cooling) to cover the energy demands of residential buildings, high energy efficiency levels and proximity of the energy source to the building. The concept of cogeneration is not new but the interest in smallscale cogeneration...... technologies based on renewable energy sources has increased tremendously in the last decade. A significant amount of experimental and modelling research has recently been presented on emerging technologies. In this paper, four main technologies are assessed: Fuel Cells (FC), Photovoltaic thermal (PV/T), solar...

  20. Forecasting how residential urban form affects the regional carbon savings and costs of retrofitting and decentralized energy supply

    International Nuclear Information System (INIS)

    Hargreaves, Anthony; Cheng, Vicky; Deshmukh, Sandip; Leach, Matthew; Steemers, Koen

    2017-01-01

    Highlights: • An innovative model for testing combinations of spatial planning and decentralised energy supply. • An improved method of modelling the spatial variability of energy consumption per dwelling type. • Shows how spatial planning would affect the future carbon reduction of decentralised supply. • Forecasts the future carbon reduction and costs of retrofitting and decentralised supply. • A method of forecasting how residential space would affect the suitability of decentralised supply. - Abstract: Low carbon energy supply technologies are increasingly used at the building and community scale and are an important part of the government decarbonisation strategy. However, with their present state of development and costs, many of these decentralised technologies rely on public subsidies to be financially viable. It is questionable whether they are cost effective compared to other ways of reducing carbon emissions, such as decarbonisation of conventional supply and improving the energy efficiency of dwellings. Previous studies have found it difficult to reliably estimate the future potential of decentralised supply because this depends on the available residential space which varies greatly within a city region. To address this problem, we used an integrated modelling framework that converted the residential density forecasts of a regional model into a representation of the building dimensions and land of the future housing stock. This included a method of estimating the variability of the dwellings and residential land. We present the findings of a case study of the wider south east regions of England that forecasted the impacts of energy efficiency and decentralised supply scenarios to year 2031. Our novel and innovative method substantially improves the spatial estimates of energy consumption compared to building energy models that only use standard dwelling typologies. We tested the impact of an alternative spatial planning policy on the future

  1. Electrical appliance energy consumption control methods and electrical energy consumption systems

    Science.gov (United States)

    Donnelly, Matthew K [Kennewick, WA; Chassin, David P [Pasco, WA; Dagle, Jeffery E [Richland, WA; Kintner-Meyer, Michael [Richland, WA; Winiarski, David W [Kennewick, WA; Pratt, Robert G [Kennewick, WA; Boberly-Bartis, Anne Marie [Alexandria, VA

    2006-03-07

    Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

  2. Electrical appliance energy consumption control methods and electrical energy consumption systems

    Science.gov (United States)

    Donnelly, Matthew K [Kennewick, WA; Chassin, David P [Pasco, WA; Dagle, Jeffery E [Richland, WA; Kintner-Meyer, Michael [Richland, WA; Winiarski, David W [Kennewick, WA; Pratt, Robert G [Kennewick, WA; Boberly-Bartis, Anne Marie [Alexandria, VA

    2008-09-02

    Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

  3. The aging US population and residential energy demand

    International Nuclear Information System (INIS)

    Tonn, Bruce; Eisenberg, Joel

    2007-01-01

    This piece explores the relationships between a rapidly aging U.S. population and the demand for residential energy. Data indicate that elderly persons use more residential energy than younger persons. In this time of steeply rising energy costs, energy is an especially important financial issue for the elderly with low and/or fixed incomes. As the absolute number of elderly as well as their proportion of the total US population both continue to increase, energy and the elderly population looms as another energy policy challenge

  4. 120 Years of U.S. Residential Housing Stock and Floor Space

    Energy Technology Data Exchange (ETDEWEB)

    Pinto de Moura, Maria C.; Smith, Steven J.; Belzer, David B.

    2015-08-11

    Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO2 emissions. Floor space is a major driver of building energy demand. This paper develops a historical time series of total residential floor space for 1891-2010 and examines the role of socio-economic drivers GDP, population and household size on floor space. Using primarily data from the U.S. Census Bureau, we develop new construction and vintage-disaggregated housing stock for three building types, and address various data inconsistency issues. An examination of the long-term relationship of GDP and total residential floor space shows a remarkably constant trend over the period. While population increases five times over the period, a 50% decrease in household size contributes towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. Total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years.

  5. Characterizing Synergistic Water and Energy Efficiency at the Residential Scale Using a Cost Abatement Curve Approach

    Science.gov (United States)

    Stillwell, A. S.; Chini, C. M.; Schreiber, K. L.; Barker, Z. A.

    2015-12-01

    Energy and water are two increasingly correlated resources. Electricity generation at thermoelectric power plants requires cooling such that large water withdrawal and consumption rates are associated with electricity consumption. Drinking water and wastewater treatment require significant electricity inputs to clean, disinfect, and pump water. Due to this energy-water nexus, energy efficiency measures might be a cost-effective approach to reducing water use and water efficiency measures might support energy savings as well. This research characterizes the cost-effectiveness of different efficiency approaches in households by quantifying the direct and indirect water and energy savings that could be realized through efficiency measures, such as low-flow fixtures, energy and water efficient appliances, distributed generation, and solar water heating. Potential energy and water savings from these efficiency measures was analyzed in a product-lifetime adjusted economic model comparing efficiency measures to conventional counterparts. Results were displayed as cost abatement curves indicating the most economical measures to implement for a target reduction in water and/or energy consumption. These cost abatement curves are useful in supporting market innovation and investment in residential-scale efficiency.

  6. 75 FR 20111 - Energy Conservation Program: Energy Conservation Standards for Residential Water Heaters, Direct...

    Science.gov (United States)

    2010-04-16

    ... Program: Energy Conservation Standards for Residential Water Heaters, Direct Heating Equipment, and Pool... heating equipment and pool heaters. Table I.1--Amended Energy Conservation Standards for Residential Water... for national energy and water conservation; and 7. Other factors the Secretary of Energy (Secretary...

  7. The demand function for residential heat through district heating system and its consumption benefits in Korea

    International Nuclear Information System (INIS)

    Lim, Seul-Ye; Kim, Hyo-Jin; Yoo, Seung-Hoon

    2016-01-01

    The demand for residential heat (RH) through a district heating system (DHS) has been and will be expanded in Korea due to its better performance in energy efficiency and the abatement of greenhouse gas emissions than decentralized boilers. The purposes of this paper are two-fold. The first is to obtain the demand function for DHS-based RH in Korea and investigate the price and income elasticities of the demand employing the quarterly data covering the period 1988–2013. The short-run price and income elasticities are estimated as −0.700 and 0.918, respectively. Moreover, the long-run elasticities are −1.253 and 1.642, respectively. The second purpose is to measure the consumption benefits of DHS-based-RH employing the economic theory that they are the sum of the actual payment and consumer surplus for the consumption. Considering that the average price and estimated consumer surplus of the DHS-based RH use in 2013 are computed to be KRW 87,870 (USD 84.1) and KRW 62,764 (USD 60.1) per Gcal, the consumption benefits of the DHS-based RH are calculated to be KRW 150,634 (USD 144.2) per Gcal. This information can be beneficially utilized to conduct an economic feasibility study for a new DHS project related to RH supply. - Highlights: • Demand for residential heat (RH) from district heating system (DHS) is expanding. • We estimate the demand function for and consumption benefits of DHS-based RH. • Short-run price and income elasticities are −0.700 and 0.918, respectively. • Long-run price and income elasticities are −1.253 and 1.642, respectively. • Consumption benefits of DHS-based RH are KRW 150,634 (USD 144.2) per Gcal.

  8. US residential energy demand and energy efficiency: A stochastic demand frontier approach

    International Nuclear Information System (INIS)

    Filippini, Massimo; Hunt, Lester C.

    2012-01-01

    This paper estimates a US frontier residential aggregate energy demand function using panel data for 48 ‘states’ over the period 1995 to 2007 using stochastic frontier analysis (SFA). Utilizing an econometric energy demand model, the (in)efficiency of each state is modeled and it is argued that this represents a measure of the inefficient use of residential energy in each state (i.e. ‘waste energy’). This underlying efficiency for the US is therefore observed for each state as well as the relative efficiency across the states. Moreover, the analysis suggests that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controlling for a range of economic and other factors, the measure of energy efficiency obtained via this approach is. This is a novel approach to model residential energy demand and efficiency and it is arguably particularly relevant given current US energy policy discussions related to energy efficiency.

  9. Energy statistics for non-residential premises in 1999

    International Nuclear Information System (INIS)

    2000-01-01

    The dominating heating system in premises is distant heating, 52 per cent of the surface area is heated that way. Oil is used for heating in 34 per cent of the surface area and the use of oil is decreasing. Today oil is used in about 9 per cent of the premises compared to 43 per cent in 1981. Natural gas can so far only be used in the southwestern parts of Sweden and is heating 2.6 million of square metres. The total surface area for premises is about 139 million square metres in 1999. Since the beginning of the 1980s the surface area of offices has been increasing and is now about 30 million square metres, or 22 per cent of the premises. The total use of energy in premises is about the same 1999 as in 1998. Still the average consumption has decreased because of an increase of the surface area of premises. Surface area heated merely by heat pumps is almost three times as big as in 1998 which means that the average consumption has considerably decreased. This survey covers non-residential premises in Sweden. It is based on a sample of 7961 properties built before 1999 and on a total survey of properties owned by some of the major owners in the country (about 2000 properties). The survey was carried out in February 2000 as a mail survey. The property owners were asked to give information about type of premises, type of heating system, deliveries of energy for heating, etc. The presentation gives data on deliveries of energy, heated surface area, average consumption, etc., for the total population and for various subdivisions

  10. A Community Landscape Model of Pro-Environmental Behavior: The Effects of Landscape and Community Interaction on Residential Energy Behaviors in Two Pennsylvania Towns

    Science.gov (United States)

    Mainzer, Stephen P.

    We are using more energy every year. Between 2001 and 2011, Pennsylvania residential electricity sales increased by two and a half times the number of new customers, accounting for almost one third of the state's total electricity consumption. Our ability to meet demand by acquiring new energy sources faces several challenges. Confusion surrounds the physical and economic accessibility of remaining fossil fuel sources. Immense land use requirements and subsequent environmental impacts challenge a total shift to renewable energy sources. The laws of thermodynamics limit the potential for new technology to efficiently convert raw energy to consumable sources. As a result, any rational strategy to meet future energy demands must involve conservation. Conservation is a pro-environmental behavior, an act intended to benefit the environment surrounding a person. I posit that a transdisciplinary model, the community landscape model of the pro-environmental behavior, unifies the conceptually analogous - yet disparate - fields of landscape, community, and behavior towards explaining residential energy conservation actions. Specifically, the study attempted to describe links between the physical environment, social environment, and conservation behaviors through a mixed-method framework. Two Pennsylvania townships - Spring and East Buffalo townships - were selected from an analysis of housing, electricity consumption, and land cover trends. Key informants from both townships informed the design of a survey instrument that captured the utility consumption, residential conservation actions, energy and environmental values, types and levels of community engagement, perceived barriers, and socio-demographic information from 107 randomly selected households. A mixed-method analysis produced evidence that place-based values and intention to participate in the community were significantly linked to lower utility consumption in households. People who cared deeply about their town

  11. Energy and exergy utilization efficiencies in the Japanese residential/commercial sectors

    International Nuclear Information System (INIS)

    Kondo, Kumiko

    2009-01-01

    Unlike the manufacturing sector, the residential/commercial sectors of Japan struggle to meet their environmental requirements. For instance, their CO 2 emission levels have increased tremendously since 1990. This research estimates energy and 'exergy (available energy)' efficiencies in Japan's residential/commercial sectors during the period 1990-2006. Since an exergy analysis reveals 'available energy losses', it is an effective tool to achieve sustainable societies. The primary objective of this paper is to examine the potential for advancing the 'true' energy efficiency in Japan's residential/commercial sectors-by observing energy and exergy efficiency disparities. The results show large differences between the overall energy and exergy efficiencies in the residential (60.12%, 6.33%)/commercial sectors (51.78%, 5.74%) in 2006. This implies great potential for energy savings in both sectors. Furthermore, this research suggests that the residential sector may face more difficulties than the commercial sector, although the latter appears to be less energy-efficient, according to recent statistics. This is because the disparity between energy and exergy efficiencies has expanded in the residential sector since 2000. This study illustrates the importance of exergy analyses in promoting sustainable energy policies and new adaptation strategies.

  12. Informatics Solution for Energy Efficiency Improvement and Consumption Management of Householders

    Directory of Open Access Journals (Sweden)

    Simona-Vasilica Oprea

    2018-01-01

    Full Text Available Although in 2012 the European Union (EU has promoted energy efficiency in order to ensure a gradual 20% reduction of energy consumption by 2020, its targets related to energy efficiency have increased and extended to new time horizons. Therefore, in 2016, a new proposal for 2030 of energy efficiency target of 30% has been agreed. However, during the last years, even if the electricity consumption by households decreased in the EU-28, the largest expansion was recorded in Romania. Taking into account that the projected consumption peak is increasing and energy consumption management for residential activities is an important measure for energy efficiency improvement since its ratio from total consumption can be around 25–30%, in this paper, we propose an informatics solution that assists both electricity suppliers/grid operators and consumers. It includes three models for electricity consumption optimization, profiles, clustering and forecast. By this solution, the daily operation of appliances can be optimized and scheduled to minimize the consumption peak and reduce the stress on the grid. For optimization purpose, we propose three algorithms for shifting the operation of the programmable appliances from peak to off-peak hours. This approach enables the supplier to apply attractive time-of-use tariffs due to the fact that by flattening the consumption peak, it becomes more predictable, and thus improves the strategies on the electricity markets. According to the results of the optimization process, we compare the proposed algorithms emphasizing the benefits. For building consumption profiles, we develop a clustering algorithm based on self-organizing maps. By running the algorithm for three scenarios, well-delimited profiles are obtained. As for the consumption forecast, highly accurate feedforward artificial neural networks algorithm with backpropagation is implemented. Finally, we test these algorithms using several datasets showing their

  13. A Reflection on Low Energy Renovation of Residential Complexes in Southern Europe

    Directory of Open Access Journals (Sweden)

    Helena Corvacho

    2016-09-01

    Full Text Available The transformation of European existing building stock towards very low energy buildings requires a new approach. In this context, it seems reasonable to think that buildings should no longer be renovated individually but as part of a global energy system. Focusing on larger urban units may present some scale advantages and may constitute an opportunity to change the urban environment in a smart energy way. Specificities of Southern European countries are addressed. Due either to the climate or the life style, there are large differences in energy consumption per dwelling among southern and northern European countries. How much heating energy will be saved by over-insulating building envelopes if people do not feel the need to heat their houses in the first place? In addition, real energy use in buildings frequently shows major differences with respect to the predicted consumption. The definition of realistic solutions demands the availability of realistic predictions. A case of a residential complex in Portugal is used to illustrate the main questions and to conclude that moving from a building to a group of buildings scale may be an interesting challenge for policy makers to look closer in the near future.

  14. 120 Years of U.S. Residential Housing Stock and Floor Space.

    Directory of Open Access Journals (Sweden)

    Maria Cecilia P Moura

    Full Text Available Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO2 emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891-2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891-2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million square feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade.

  15. Power consumption of lifts and potential for energy savings; Elektrizitaetsverbrauch und Einspar-Potenziale bei Aufzuegen

    Energy Technology Data Exchange (ETDEWEB)

    Nipkow, J.

    2005-07-01

    This final report for the Swiss Federal Office of Energy (SFOE) reviews the results of a study made on the electricity consumption of lifts, which estimates that around 0.5% of Swiss power consumption is caused by lift installations. The results of measurements made on 33 various lift installations and their power consumption are presented. The SIA 380/4 model used to determine energy consumption on the basis of the number of movements is described. Stand-by and lighting consumption is examined, which, according to the authors' conclusions, offer considerable room for improvement, especially for lifts in residential buildings. A further significant potential for improvement is also noted which can be achieved when renewing older systems. The avoidance of inefficient concepts by the use of guidelines for architects, planners and customers is recommended.

  16. Load curve modelling of the residential segment electric power consumption applying a demand side energy management program; Modelagem da curva de carga das faixas de consumo de energia eletrica residencial a partir da aplicacao de um programa de gerenciamento de energia pelo lado da demanda

    Energy Technology Data Exchange (ETDEWEB)

    Rahde, Sergio Barbosa [Pontificia Univ. Catolica do Rio Grande do Sul, Porto Alegre (Brazil). Dept. de Engenharia Mecanica e Mecatronica]. E-mail: sergio@em.pucrs.br; Kaehler, Jose Wagner [Pontificia Univ. Catolica do Rio Grande do Sul, Porto Alegre (Brazil). Faculdade de Engenharia]. E-mail: kaehlerjw@pucrs.br

    2000-07-01

    The dissertation aims to offer a current vision on the use of electrical energy inside CEEE's newly defined area of operation. It also intends to propose different alternatives to set up a Demand Side Management (DSM) project to be carried out on the same market segment, through a Residential Load Management program. Starting from studies developed by DNAEE (the Brazilian federal government's agency for electrical energy), to establish the load curve characteristics, as well as from a research on electrical equipment ownership and electricity consumption habits, along with the contribution supplied by other utilities, especially in the US, an evaluation is offered, concerning several approaches to residential energy management, setting up conditions that simulate the residential segment's scenarios and their influence on the general system's load. (author)

  17. Residential energy consumption and conservation programs: A systematic approach to identify inefficient households, provide meaningful feedback, and prioritize homes for conservation intervention

    Science.gov (United States)

    Macsleyne, Amelia Chadbourne Carus

    There are three main objectives for residential energy conservation policies: to reduce the use of fossil fuels, reduce greenhouse gas emissions, and reduce the energy costs seen by the consumer (U.S. Department of Energy: Strategic Objectives, 2006). A prominent difficulty currently facing conservation policy makers and program managers is how to identify and communicate with households that would be good candidates for conservation intervention, in such a way that affects a change in consumption patterns and is cost-effective. This research addresses this issue by separating the problem into three components: how to identify houses that are significantly more inefficient than comparable households; how to find the maximum financially-feasible investment in energy efficiency for a household in order to reduce annual energy costs and/or improve indoor comfort; and how to prioritize low-income households for a subsidized weatherization program. Each component of the problem is presented as a paper prepared for publication. Household consumption related to physical house efficiency, thermostat settings, and daily appliance usage is studied in the first and second paper by analyzing natural gas utility meter readings associated with over 10,000 households from 2001-2006. A rich description of a house's architectural characteristics and household demographics is attained by integrating publicly available databases based on the house address. This combination of information allows for the largest number of individual households studied at this level of detail to date. The third paper uses conservation program data from two natural gas utilities that administer and sponsor the program; over 1,000 weatherized households are included in this sample. This research focuses on natural gas-related household conservation. However, the same principles and methods could be applied for electricity-related conservation programs. We find positive policy implications from each of

  18. 2011 Residential Energy Efficiency Technical Update Meeting Summary Report

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2011-11-01

    This report provides an overview of the U.S. Department of Energy Building America program's Summer 2011 Residential Energy Efficiency Technical Update Meeting. This meeting was held on August 9-11, 2011, in Denver, Colorado, and brought together more than 290 professionals representing organizations with a vested interest in energy efficiency improvements in residential buildings.

  19. Complex analysis of energy efficiency in operated high-rise residential building: Case study

    Science.gov (United States)

    Korniyenko, Sergey

    2018-03-01

    Energy conservation and human thermal comfort enhancement in buildings is a topical issue of modern architecture and construction. The innovative solution of this problem makes it possible to enhance building ecological and maintenance safety, to reduce hydrocarbon fuel consumption, and to improve life standard of people. The requirements to increase of energy efficiency in buildings should be provided at all the stages of building's life cycle that is at the stage of design, construction and maintenance of buildings. The research purpose is complex analysis of energy efficiency in operated high-rise residential building. Many actions for building energy efficiency are realized according to the project; mainly it is the effective building envelope and engineering systems. Based on results of measurements the energy indicators of the building during annual period have been calculated. The main reason of increase in heat losses consists in the raised infiltration of external air in the building through a building envelope owing to the increased air permeability of windows and balcony doors (construction defects). Thermorenovation of the building based on ventilating and infiltration heat losses reduction through a building envelope allows reducing annual energy consumption. Energy efficiency assessment based on the total annual energy consumption of building, including energy indices for heating and a ventilation, hot water supply and electricity supply, in comparison with heating is more complete. The account of various components in building energy balance completely corresponds to modern direction of researches on energy conservation and thermal comfort enhancement in buildings.

  20. Energy consumption and energy prices

    International Nuclear Information System (INIS)

    Bentzen, J.

    1993-01-01

    Data are presented on energy consumption and energy prices related to a number of OECD (Organisation for Economic Co-operation and Development) lands covering the period 1951-1990. The information sources are described and the development of energy consumption and prices in Denmark are illustrated in relation to these other countries. The energy intensity (the relation between energy consumption and the gross national product) is dealt with. Here it is possible to follow development during the whole post-war period. It is generally understood that Denmark saved large amounts of energy after 1973-74 but, taken over the whole post-war period, savings and decline in energy-gross national product relations are less dramatic compared to conditions in other OECD countries. Energy coefficients or elasticities show the relative rise in consumption compared to the relative rise in gross national product (growth rate). This is shown to be typically unstable and an eventual connection with the amount of energy price increase and/or the growth rate of the national economy is considered. Results of Granger causuality tests on energy consumption, national income and energy prices are presented. Effective energy prices were very low in Denmark up to 1970 when they suddenly began to increase. Since the oil crisis Denmark's energy consumption has fallen whereas the other countries have used rather more energy than before. Effective promotion of energy savings must be seen in relation to the fact that the 1970 basis level of energy consumption and intensity was unusually high. The high effective energy prices have also encouraged energy savings in Denmark. (AB)

  1. The Economic Feasibility of Residential Energy Storage Combined with PV Panels: The Role of Subsidies in Italy

    Directory of Open Access Journals (Sweden)

    Federica Cucchiella

    2017-09-01

    Full Text Available A solar photovoltaic system produces electricity by converting energy from the sun. By the end of 2016, the global installed solar photovoltaic capacity reached 305 GW. Its growth is impressive in the last years; in fact, it was only equal to 41 GW in 2010. However, Europe has installed only 6.9 GW in 2016 (−1.7 GW in comparison to previous year and this annual power installed is equal to 9% of global one in according to data released by Solar Power Europe. The profitability of PV systems in mature markets depends on the harmonization between demanded energy and produced one residential energy storage when combined with photovoltaic panels is able to increase the share of self-consumption. This work proposes a mathematical model, in which a Discounted Cash Flow analysis is conducted to evaluate the financial feasibility of photovoltaic-integrated lead acid battery systems in Italy. The indicator used is Net Present Value. Furthermore, a break-even point analysis, in terms of an increase of self-consumption, is conducted. The residential sector is investigated and energy storage system investment is incentivized by fiscal deduction and regional subsidies. The analysis provides several case studies, determined by combinations of the following variables: photovoltaic plant size, battery capacity, the increase of the share of self-consumption, and the useful lifetime of energy storage system. The same case studies are proposed also in four alternative scenarios, where is the modified the structure of subsidies. Results confirm that the profitability can be reached in presence of subsidies.

  2. Government regulation as an impetus for innovation: Evidence from energy performance regulation in the Dutch residential building sector

    International Nuclear Information System (INIS)

    Beerepoot, Milou; Beerepoot, Niels

    2007-01-01

    The recent implementation of energy performance policy as a way to tackle energy consumption in the building sector in Europe draws attention to the effect it has on the development and diffusion of energy-saving innovations. According to innovation system literature, government regulation through norms and standards is one of the factors stimulating innovation. This paper concentrates on the role of stricter government regulation as an incentive to innovation in the Dutch residential building sector. Innovation in this sector is predominantly a process of applying incremental modifications to comply with new and stricter government regulations and standards. Energy performance policy in its current shape will therefore not contribute to the diffusion of really new innovation in energy techniques for residential buildings in the Netherlands. If diffusion of really new innovation is an explicit aim of energy performance policy then the European wide introduction of this scheme needs reconsideration

  3. The challenge to UK energy policy: An ageing population perspective on energy saving measures and consumption

    International Nuclear Information System (INIS)

    Hamza, Neveen; Gilroy, Rose

    2011-01-01

    With a focus on the residential sector, this paper explores the likelihood of the UK government meeting its energy targets. The paper contends that energy policy needs to take into account the interplay of four major factors: an ageing population of increasing diversity; a cultural inclination for older housing much of which is thermally inefficient; levels of fuel poverty; and the inexorable rise of consumer spending on leisure related services and goods. Decisions made by older households (both the poorer and the better off) may be critical to the success of energy policy. Among the better off the changing expectations of the baby boomers, with their predilection for consumption and travel, may have particular impact. The paper concludes that much of the reduction in carbon footprint made by older people's choices in heating and insulation may be offset, not only by increasing domestic thermal comfort, but also potentially by increasing consumables in the home and other consumer lifestyle choices. What could be achieved at best, may be a shift in energy mix. - Research highlights: → An aging society in the UK will not lead to reduction in energy consumption. → Physical ability, housing condition, cultural habits and energy poverty undermine policy. → Rise of home entertainment and consumerism 'Afluenza' increase energy consumption.

  4. The drivers to adopt renewable energy among residential users.

    Science.gov (United States)

    Rahman, Zahari Abdul; Elinda, Esa

    2016-03-01

    This study aims to examine the drivers to adopt renewable energy (RE) among residential users in Malaysia. Based on the theoretical framework of a consumer’s decision making process, an empirical study of the adoption of RE was conducted. A total of 501 residential users were used in this study. This study proved that perceived utility of new technology, perceived utility of new service, and perceived benefit of new technology are the drivers to adopt RE among residential users. These factors are knowing crucial to RE suppliers and producers because it will generates more demand from the residential users and the percentage of energy mix from RE sources can be increase.

  5. New Hampshire Carbon Challenge: Reducing Residential Energy Use and Greenhouse Gas Emissions

    Science.gov (United States)

    Schloss, A. L.; Bartlett, D.; Blaha, D.; Skoglund, C.; Dundorf, J.; Froburg, E.; Pasinella, B.

    2007-12-01

    The New Hampshire Carbon Challenge is an initiative of the Institute for the Study of Earth, Oceans and Space at the University of New Hampshire. Our goal is to educate New Hampshire residents about climate change and also encourage them to reduce their household greenhouse gas emissions by 10,000 pounds. The Northeast region is undergoing climate changes consistent with those expected due to increasing levels of CO2 in the atmosphere, while also contributing to climate change as the world's seventh largest source of CO2 emissions. In the USA, approximately 40 percent of CO2 emissions from fossil fuel combustion come from residential energy consumption for space heating, electricity usage, and transportation. Homeowners typically are not aware that modest energy reductions can result in significant carbon savings. Most campaigns that raise awareness of climate change and residential energy usage disseminate information to consumers through newspaper articles, brochures, websites, or other traditional means of communication. These information-only campaigns have not been very effective in changing residential energy consumption. Bombarded with information in their daily lives, the public has become quite adept at tuning most of it out. When much of the information they receive about climate change is confusing and contradictory, residents have even less incentive to change their behavior. The Challenge is unique in that it couples accurate information about climate change with concrete actions homeowners can take to reduce their carbon emissions. Our strategy is to utilize the tools of Community Based Social Marketing, which has been shown to be effective in changing behavior, and also to leverage existing networks including the NH Department of Environmental Services, UNH Cooperative Extension, faith-based communities, municipal energy committees and Climate Project volunteers, to effectively reach residents throughout the state. The response to our program has

  6. The structure of residential energy demand in Greece

    International Nuclear Information System (INIS)

    Rapanos, Vassilis T.; Polemis, Michael L.

    2006-01-01

    This paper attempts to shed light on the determinants of residential energy demand in Greece, and to compare it with some other OECD countries. From the estimates of the short-run and long-run elasticities of energy demand for the period 1965-1999, we find that residential energy demand appears to be price inelastic. Also, we do not find evidence of a structural change probably because of the low efficiency of the energy sector. We find, however, that the magnitude of the income elasticity varies substantially between Greece and other OECD countries

  7. Energy and Economic Evaluation of Green Roofs for Residential Buildings in Hot-Humid Climates

    Directory of Open Access Journals (Sweden)

    Abubakar S. Mahmoud

    2017-03-01

    Full Text Available Green roofs may be considered a passive energy saving technology that also offer benefits like environmental friendliness and enhancement of aesthetic and architectural qualities of buildings. This paper examines the energy and economic viability of the green roof technology in the hot humid climate of Saudi Arabia by considering a modern four bedroom residential building in the city of Dhahran as a case study. The base case and green roof modelling of the selected building has been developed with the help of DesignBuilder software. The base case model has been validated with the help of 3-month measured data about the energy consumption without a green roof installed. The result shows that the energy consumption for the base case is 169 kWh/m2 while the energy consumption due to the application of a green roof on the entire roof surface is 110 kWh/m2. For the three investigated green roof options, energy saving is found to be in the range of 24% to 35%. The economic evaluation based on the net present value (NPV approach for 40 years with consideration to other environmental advantages indicates that the benefits of the green roof technology are realized towards the end of the life cycle of the building.

  8. Analysis of energy-saving potential in residential buildings in Xiamen City and its policy implications for southern China

    Science.gov (United States)

    Guo, Fei

    potential analyses in Xiamen, a residential energy consumption (REC) projection model specifically tailored for southern China is developed. This computational model builds on the Kastovich (1982) adoption-decision theory and the general logic used in the U.S. EIA's (2003) National Energy Modeling System (NEMS). Base on this projection model, Xiamen's REC from the base year 2011 to 2020 is projected. This model can be used as a policy analysis tool to quantitatively evaluate the real-world impact of diverse policy incentives on residential energy use in southern China. The projection results show that the MAP of residential energy savings in Xiamen will be about only 8.3-8.4% in 2020 from a business-as-usual projection. Ten current appropriate and feasible policy interventions are evaluated for analyzing the PAP in Xiamen, which reveals that only about one-fourth to one-half of Xiamen's MAP will possibly be achieved in 2020. Based on the potential analysis for the Xiamen case, a discussion on promoting energy-saving incentive policies for the residential buildings in southern China is given. It suggests that more new, innovative and market-based policies need to be introduced in China in order to realize larger achievable potential for residential energy savings.

  9. Evaluation of utility residential energy conservation programs: A Pacific Northwest example

    Energy Technology Data Exchange (ETDEWEB)

    Hirst, E; Bronfman, B; Goeltz, R; Keating, K; Lerman, D; Timble, J

    1984-03-01

    This paper describes a detailed quantitative evaluation of the Residential Weatherization Pilot Program, operated by the Bonneville Power Administration from 1980 through 1982. The program provided free energy audits to more than 6000 electrically-heated homes and gave zero-interest loans to weatherize almost 4000 of these audited homes. The total cost of the program was almost $8 million. Using actual electricity consumption records for program participants and nonparticipants, we calculated the energy-saving effect of the pilot program in several ways and always reached the same conclusion. Households that received an audit and weatherization loan reduced their annual electricity consumption by about 3500 kWh relative to what they would have done without the program; this 3500 kWh is the saving that can be directly attributed to the program. Using a simple net present worth approach, the authors computed program benefits and costs for participating households, the BPA power system, and the Pacific Northwest region as a whole. Under a wide range of assumptions concerning discount rate, years until the weatherization loan is repaid, program energy saving, and BPA's marginal cost of power, the program is economically attractive from all three perspectives.

  10. Norwegian residential electricity demand - a microeconomic assessment of the growth from 1976 to 1993

    International Nuclear Information System (INIS)

    Halvorsen, B.; Larsen, B.M.

    2001-01-01

    The Norwegian residential electricity consumption increased by an average of 3% annually during the period 1976-1993. Political signals indicate that the growth in Norwegian residential energy consumption should be reduced, and that it may be necessary to increase energy taxes. Based on data for the sample of households from the annual consumer expenditure survey, we study factors that are of importance explaining the growth in Norwegian residential electricity demand during this period. Nearly half of the growth is due to an increase in the number of households, while the rest reflects an increase in average consumption per household. The increase in average consumption per household is due to an increasing number of households possessing electric household appliances such as dryers and dishwashers, an increase in real disposable household income and in the floor space of dwellings. (author)

  11. A method for evaluating transport energy consumption in suburban areas

    International Nuclear Information System (INIS)

    Marique, Anne-Françoise; Reiter, Sigrid

    2012-01-01

    Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits. - Highlights: ► The method allows to assess transport energy consumption in suburban areas and highlight the best strategies to reduce it. ► Home-to-work travels represent the most important part of calculated transport energy consumption. ► Energy savings can be achieved by reducing distances to travel through a good mix between activities at the

  12. Locating room air-conditioners at floor level for energy saving in residential buildings

    International Nuclear Information System (INIS)

    Gao, C.F.; Lee, W.L.; Chen Hua

    2009-01-01

    Residential air-conditioning becomes a common feature in our daily life. They are typically installed at high level known as ceiling-based system (CAC). With the increasing use of floor-based air-conditioning system in commercial buildings for energy saving, it is proposed in this study to locate a top discharge/front return air-conditioner at floor level to resemble a floor-based air-conditioning system (FAC) to curb energy use in residential buildings. Given the concerns about draught discomfort and thermal stratification associated with floor-based air-conditioning systems, the objective of this study is to evaluate the air distribution performance and to quantify the possible energy benefits. Bedroom was chosen as a sensitive case for detailed air distribution performance evaluation. Experimental study, CFD simulations and energy simulations were conducted in achieving the specific objectives. CAC and FAC were installed in a bedroom-like environmental chamber for experimental study at different indoor and outdoor conditions. The air velocities and temperatures at various positions and levels inside the chamber were measured to determine the air distribution performance indices (ADPI) and airflow draft risk (DR). The cooling output, power consumption and coefficient of performance (COP) of the two units were measured and calculated for comparison. The experimental results show that ADPI of CAC and FAC are 92.3% and 84.6%, respectively. COP of FAC is 8.11% higher than CAC, and the corresponding DR are comparable. The experimental results were used to validate the CFD simulations as well as providing actual performance data for predicting the energy use of applying CAC and FAC in a case-study building. CFD simulations and draught assessment confirmed that there is no potential draught discomfort and thermal stratification associated with the use of FAC. Energy simulations predicted that the associated energy saving is 6.9%. Wider use of FAC in residential

  13. 75 FR 12144 - Energy Conservation Program for Consumer Products: Energy Conservation Standards for Residential...

    Science.gov (United States)

    2010-03-15

    .... 1. Consensus Agreement On January 26, 2010, the Air-Conditioning, Heating and Refrigeration... subsections. B. History of the Standards Rulemaking for Residential Furnaces 1. Background Energy conservation... recommending minimum energy conservation standards for residential central air conditioners, heat pumps, and...

  14. Energy consumption and indoor climate in a residential building before and after comprehensive energy retrofitting

    DEFF Research Database (Denmark)

    Thomsen, Kirsten Engelund; Rose, Jørgen; Christen Mørck, Ove

    2016-01-01

    including new facades, new windows, additional insulation, mechanical ventilation with heat recovery and a photovoltaic installation on the roof. The measured energy consumption for heating and domestic hot water before and after renovation was 139.1 kWh/m2/year and 95.6 kWh/m2/year respectively......Denmark is participating in IEA EBC Annex 56 “Cost Effective Energy and Carbon Emissions Optimization in Building Renovation”. This paper presents results from the housing complex Traneparken that was chosen as a Danish case for the project. It has undergone a comprehensive energy retrofit......, and thereby the project has demonstrated that the renovation resulted in significant energy savings. Furthermore, a questionnaire survey was carried out focusing on the tenants’ overall satisfaction with the retrofitting process and the results of the retrofitting, including e.g. perceived indoor climate...

  15. Multicriteria Decision Analysis of Material Selection of High Energy Performance Residential Building

    Science.gov (United States)

    Čuláková, Monika; Vilčeková, Silvia; Katunská, Jana; Krídlová Burdová, Eva

    2013-11-01

    In world with limited amount of energy sources and with serious environmental pollution, interest in comparing the environmental embodied impacts of buildings using different structure systems and alternative building materials will be increased. This paper shows the significance of life cycle energy and carbon perspective and the material selection in reducing energy consumption and emissions production in the built environment. The study evaluates embodied environmental impacts of nearly zero energy residential structures. The environmental assessment uses framework of LCA within boundary: cradle to gate. Designed alternative scenarios of material compositions are also assessed in terms of energy effectiveness through selected thermal-physical parameters. This study uses multi-criteria decision analysis for making clearer selection between alternative scenarios. The results of MCDA show that alternative E from materials on nature plant base (wood, straw bales, massive wood panel) present possible way to sustainable perspective of nearly zero energy houses in Slovak republic

  16. Analysis of energy consumption for a passive house in Tlemcen (North Africa)

    Energy Technology Data Exchange (ETDEWEB)

    Boukli Hacene, M.A.; Chabane Sari, N.E.; Amara, S. [Materials and Renewable Energies Research Unit, University of Tlemcen (Algeria)], E-mail: amineboukli@yahoo.fr

    2011-07-01

    With the coming shortage of fossil fuels, it is important to develop innovative techniques that reduce both energy consumption and pollution at the same time. In Algeria, the residential sector is the highest energy consumer, accounting for 41% of the country's total consumption; this must be reduced. The aim of this study is to analyze the energy use of dwellings and find solutions to reduce it. The analysis was performed on a 100m2 plate surface house situated in Tlemcen conceived in R+2 stages. In addition, an ecological design was developed and analyzed to determine the savings which could be made. Results showed that significant reduction of energy use and environmental impacts can be achieved through an ecological design. This study demonstrated that the concept of the ecological house can be applied to Mediterranean climate regions and would result in better energy and environmental performance as well as cost savings over the years.

  17. ON REASONABLE ESTIMATE OF ENERGY PERFORMANCE OF THE RESIDENTIAL BUILDINGS SUSTENANCE WITH CENTRALIZED HEAT-SUPPLY SYSTEM

    Directory of Open Access Journals (Sweden)

    S. N. Osipov

    2016-01-01

    Full Text Available As consisted with Directive No 3 of President of the Republic of Belarus of June, 14th 2007 ‘Economy and Husbandry – the Major Factors of Economic Security of the Republic of Belarus’, saving fuel-and-energy resources over the republic in 2010–2015 should amount to 7,1–8,9 MIO tons of fuel equivalent including 1,00–1,25 MIO tons of fuel equivalent at the expense of heat-supply optimization and 0,25–0,40 MIO tons of fuel equivalent at the expense of increasing enclosing structures heat resistance of the buildings, facilities and housing stock. It means, where it is expected to obtain around 18 % of general thermal resources economy in the process of heat-supply optimization, then by means of enhancing the cladding structure heat resistance of the buildings and constructions of various applications – only about 3–5 % and even a bit less so of the housing stock. Till 1994, in residential sector of the Republic of Belarus, the annual heat consumption of the heating and ventilation averaged more than 130 kW×h/(m2×year (~56 %, of the hot-water supply – around 100 kW×h/(m2×year (~44 %. In residential houses, built from 1994 to 2009, heat consumption of the heating and ventilation is already 90 kW×h/(m2×year, of the hot-water supply – around 70 kW×h/(m2×year. In buildings of modern mainstream construction, they expend 60 kW×h/(m2×year (~46 % on heating and ventilation and 70 kW×h/(m2×year (~54 % on hot-water supply. In some modern residential buildings with the exhausted warm air secondary energy resource utilization, the heating and ventilation takes around 30–40 kW×h/(m2×year of heat. Raising energy performance of the residential buildings by means of reducing heat expenses on the heating and ventilation is the last segment in the system of energy resources saving. The first segments in the energy performance process are producing heat and transporting it over the main lines and outside distribution networks. In

  18. Complex analysis of energy efficiency in operated high-rise residential building: Case study

    Directory of Open Access Journals (Sweden)

    Korniyenko Sergey

    2018-01-01

    Full Text Available Energy conservation and human thermal comfort enhancement in buildings is a topical issue of modern architecture and construction. The innovative solution of this problem makes it possible to enhance building ecological and maintenance safety, to reduce hydrocarbon fuel consumption, and to improve life standard of people. The requirements to increase of energy efficiency in buildings should be provided at all the stages of building's life cycle that is at the stage of design, construction and maintenance of buildings. The research purpose is complex analysis of energy efficiency in operated high-rise residential building. Many actions for building energy efficiency are realized according to the project; mainly it is the effective building envelope and engineering systems. Based on results of measurements the energy indicators of the building during annual period have been calculated. The main reason of increase in heat losses consists in the raised infiltration of external air in the building through a building envelope owing to the increased air permeability of windows and balcony doors (construction defects. Thermorenovation of the building based on ventilating and infiltration heat losses reduction through a building envelope allows reducing annual energy consumption. Energy efficiency assessment based on the total annual energy consumption of building, including energy indices for heating and a ventilation, hot water supply and electricity supply, in comparison with heating is more complete. The account of various components in building energy balance completely corresponds to modern direction of researches on energy conservation and thermal comfort enhancement in buildings.

  19. Forecasting residential electricity demand in provincial China.

    Science.gov (United States)

    Liao, Hua; Liu, Yanan; Gao, Yixuan; Hao, Yu; Ma, Xiao-Wei; Wang, Kan

    2017-03-01

    In China, more than 80% electricity comes from coal which dominates the CO2 emissions. Residential electricity demand forecasting plays a significant role in electricity infrastructure planning and energy policy designing, but it is challenging to make an accurate forecast for developing countries. This paper forecasts the provincial residential electricity consumption of China in the 13th Five-Year-Plan (2016-2020) period using panel data. To overcome the limitations of widely used predication models with unreliably prior knowledge on function forms, a robust piecewise linear model in reduced form is utilized to capture the non-deterministic relationship between income and residential electricity consumption. The forecast results suggest that the growth rates of developed provinces will slow down, while the less developed will be still in fast growing. The national residential electricity demand will increase at 6.6% annually during 2016-2020, and populous provinces such as Guangdong will be the main contributors to the increments.

  20. Evaluating the energy and CO2 emissions impacts of shifts in residential water heating in the United States

    International Nuclear Information System (INIS)

    Sanders, Kelly T.; Webber, Michael E.

    2015-01-01

    Water heating represented nearly 13% of 2010 residential energy consumption making it an important target for energy conservation efforts. The objective of this work is to identify spatially-resolved strategies for energy conservation, since little analysis has been done to identify how regional characteristics affect the energy consumed for water heating. We present a first-order thermodynamic analysis, utilizing ab initio calculations and regression methods, to quantify primary energy consumption and CO 2 emissions with regional specificity by considering by considering local electricity mixes, heat rates, solar radiation profiles, heating degrees days, and water heating unit sales for 27 regions of the US. Results suggest that shifting from electric towards natural gas or solar water heating offered primary energy and CO 2 emission reductions in most US regions, but these reductions varied considerably according to regional electricity mix and solar resources. We find that regions that would benefit most from technology transitions, are often least likely to switch due to limited economic incentives. Our results suggest that federal energy factor metrics, which ignore upstream losses in power generation, are insufficient in informing consumers about the energy performance of residential end use appliances. - Highlights: • US energy factor ratings for water heaters ignore upstream losses. • Switching from electric storage water heating reduces CO 2 emissions in most US regions. • Regions with greatest potential for CO 2 avoidance are least likely to shift technologies. • Benefits vary significantly according to climate and regional electricity fuel mix

  1. Electricity consumption and energy savings potential of video game consoles in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Hittinger, E.; Mullins, K.A.; Azevedo, I.L. [Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213 (United States)

    2012-11-15

    Total energy consumption of video game consoles has grown rapidly in the past few decades due to rapid increases in market penetration, power consumption of the devices, and increasing usage driven by new capabilities. Unfortunately, studies investigating the energy impacts of these devices have been limited and potential responses, such as ENERGY STAR requirements, have been difficult to define and implement. We estimate that the total electricity consumption of video game consoles in the US was around 11 TWh in 2007 and 16 TWh in 2010 (approximately 1 % of US residential electricity consumption), an increase of almost 50 % in 3 years. However, any estimate of total game console energy consumption is highly uncertain, and we have determined that the key uncertainty is the unknown consumer behavior with regards to powering down the system after use. Even under this uncertainty, we demonstrate that the most effective energy-saving modification is incorporation of a default auto power down feature, which could reduce electricity consumption of game consoles by 75 % (10 TWh reduction of electricity in 2010), saving consumers over USD 1 billion annually in electricity bills. We conclude that using an auto power down feature for game consoles is at least as effective for reducing energy consumption as implementing a strict set of energy efficiency improvements for the devices, is much easier to implement given the nature of the video game console industry, and could be applied retroactively to currently deployed consoles through firmware updates.

  2. Enact legislation supporting residential property assessed clean energy financing (PACE)

    Energy Technology Data Exchange (ETDEWEB)

    Saha, Devashree

    2012-11-15

    Congress should enact legislation that supports residential property assessed clean energy (PACE) programs in the nation’s states and metropolitan areas. Such legislation should require the Federal Housing Finance Agency (FHFA) to allow Fannie Mae and Freddie Mac to purchase residential mortgages with PACE assessments while at the same time providing responsible underwriting standards and a set of benchmarks for residential PACE assessments in order to minimize financial risks to mortgage holders. Congressional support of residential PACE financing will improve energy efficiency, encourage job creation, and foster economic growth in the nation’s state and metropolitan areas.

  3. Effects of urbanisation on energy consumption in China

    International Nuclear Information System (INIS)

    Wang, Qiang

    2014-01-01

    As a key issue in China's economic development, urbanisation creates increasing pressure on energy supply and the natural environment. Thus, a better understanding of the relationship between urbanisation and energy consumption is necessary for Chinese decision makers at various levels to address energy security and sustainable economic and social development. This paper empirically investigates the effects of China's urbanisation on residential energy consumption (REC) and production energy consumption (PEC) through a time-series analysis. The results show that compared with rural areas, urbanisation slows per capita REC growth because of the economy of scale and technological advantages associated with urbanisation but has greater promotional effects on the growth of REC and the improvement of REC structure. The economic growth caused by urbanisation most significantly contributes to an increase in PEC, whereas technological advancement was found to reduce the scale of PEC (except from 2001 to 2005). Finally, the structural effect of the energy supply increased rather than decreased China's PEC, and the effect of industrial structure adjustment on PEC was found to be insignificant. - Highlights: • Urbanisation slows per capita REC growth when compared with rural areas. • Urbanisation has a greater promotional effect on REC growth and a stronger improved effect on energy structure than do rural areas. • The economic growth effect of urbanisation is responsible for the majority of PEC growth. • Technological advancement in conjunction with urbanisation has an adverse effect on the increase in PEC. • The structural effect of the energy supply on the urbanisation process has increased rather than decreased China's PEC. • There is no significant evidence that industrial structure adjustment in the urbanisation process affects PEC

  4. Energy statistics for non-residential premises in 2000

    International Nuclear Information System (INIS)

    2001-01-01

    The dominating heating system in premises is district heating, 55 per cent of the surface area is heated that way. Oil is used for heating in 19 per cent of the surface area and the use of oil is decreasing. Today oil is used in about 8 per cent of the premises compared to 43 per cent in 1981. Natural gas can so far only be used in the southwestern parts of Sweden and is heating 1.8 million of square metres. The total surface area for premises is about 149 million square metres in 2000. Since the beginning of the 1980s the surface area of offices has been increasing and is now about 44 million square metres, or 30 per cent of the premises. The total use of energy in premises has increased by nearly 400 GWh compared to 1999. Still the average consumption has decreased because of an increase of the surface area of premises. The year 2000 was also warmer than 1999. This survey covers non-residential premises in Sweden. It is based on a sample of 8154 properties built before 2000 and on a total survey of properties owned by some of the major owners in the country (about 1500 properties). The survey was carried out in February 2001 as a mail survey. The property owners were asked to give information about type of premises, type of heating system, deliveries of energy for heating, etc. The presentation gives data on deliveries of energy, heated surface area, average consumption, etc., for the total population and for various subdivisions

  5. The challenge to UK energy policy: An ageing population perspective on energy saving measures and consumption

    Energy Technology Data Exchange (ETDEWEB)

    Hamza, Neveen, E-mail: n.hamza@ncl.ac.u [School of Architecture, Planning and Landscape Newcastle University, NE1 7RU (United Kingdom); Gilroy, Rose [School of Architecture, Planning and Landscape Newcastle University, NE1 7RU (United Kingdom)

    2011-02-15

    With a focus on the residential sector, this paper explores the likelihood of the UK government meeting its energy targets. The paper contends that energy policy needs to take into account the interplay of four major factors: an ageing population of increasing diversity; a cultural inclination for older housing much of which is thermally inefficient; levels of fuel poverty; and the inexorable rise of consumer spending on leisure related services and goods. Decisions made by older households (both the poorer and the better off) may be critical to the success of energy policy. Among the better off the changing expectations of the baby boomers, with their predilection for consumption and travel, may have particular impact. The paper concludes that much of the reduction in carbon footprint made by older people's choices in heating and insulation may be offset, not only by increasing domestic thermal comfort, but also potentially by increasing consumables in the home and other consumer lifestyle choices. What could be achieved at best, may be a shift in energy mix. - Research highlights: {yields} An aging society in the UK will not lead to reduction in energy consumption. {yields} Physical ability, housing condition, cultural habits and energy poverty undermine policy. {yields} Rise of home entertainment and consumerism 'Afluenza' increase energy consumption.

  6. Analysis of federal incentives used to stimulate energy consumption

    Energy Technology Data Exchange (ETDEWEB)

    Cole, R.J.; Cone, B.W.; Emery, J.C.; Huelshoff, M.; Lenerz, D.E.; Marcus, A.; Morris, F.A.; Sheppard, W.J.; Sommers, P.

    1981-08-01

    The purpose of the analysis is to identify and quantify Federal incentives that have increased the consumption of coal, oil, natural gas, and electricity. The introductory chapter is intended as a device for presenting the policy questions about the incentives that can be used to stimulate desired levels of energy development. In the theoretical chapter federal incentives were identified for the consumption of energy as Federal government actions whose major intent or result is to stimulate energy consumption. The stimulus comes through changing values of variables included in energy demand functions, thereby inducing energy consumers to move along the function in the direction of greater quantity of energy demanded, or through inducing a shift of the function to a position where more energy will be demanded at a given price. The demand variables fall into one of six categories: price of the energy form, price of complements, price of substitutes, preferences, income, and technology. The government can provide such incentives using six different policy instruments: taxation, disbursements, requirements, nontraditional services, traditional services, and market activity. The four major energy forms were examined. Six energy-consuming sectors were examined: residential, commercial, industrial, agricultural, transportation, and public. Two types of analyses of incentive actions are presented in this volume. The generic chapter focused on actions taken in 1978 across all energy forms. The subsequent chapters traced the patterns of incentive actions, energy form by energy form, from the beginning of the 20th century, to the present. The summary chapter includes the results of the previous chapters presented by energy form, incentive type, and user group. Finally, the implications of these results for solar policy are presented in the last chapter. (MCW)

  7. Potential energy savings by using direct current for residential applications

    DEFF Research Database (Denmark)

    Diaz, Enrique Rodriguez; Quintero, Juan Carlos Vasquez; Guerrero, Josep M.

    2017-01-01

    improvement in the power converter units. However, for residential applications, the efficiency is not always improved. A grid connected residential microgrid, with renewable energy sources (RES), energy storage systems (ESS) and local loads, is presented in this work. The microgrid has been modelled...

  8. Residential Energy Performance Metrics

    Directory of Open Access Journals (Sweden)

    Christopher Wright

    2010-06-01

    Full Text Available Techniques for residential energy monitoring are an emerging field that is currently drawing significant attention. This paper is a description of the current efforts to monitor and compare the performance of three solar powered homes built at Missouri University of Science and Technology. The homes are outfitted with an array of sensors and a data logger system to measure and record electricity production, system energy use, internal home temperature and humidity, hot water production, and exterior ambient conditions the houses are experiencing. Data is being collected to measure the performance of the houses, compare to energy modeling programs, design and develop cost effective sensor systems for energy monitoring, and produce a cost effective home control system.

  9. 76 FR 22324 - Energy Conservation Program: Energy Conservation Standards for Residential Clothes Dryers and...

    Science.gov (United States)

    2011-04-21

    ... standards, the current standards for room air conditioners and clothes dryers, and the history of the... Residential Clothes Dryers and Room Air Conditioners AGENCY: Office of Energy Efficiency and Renewable Energy... equipment, including residential clothes dryers and room air conditioners. EPCA also requires the U.S...

  10. The performance of residential micro-cogeneration coupled with thermal and electrical storage

    Science.gov (United States)

    Kopf, John

    Over 80% of residential secondary energy consumption in Canada and Ontario is used for space and water heating. The peak electricity demands resulting from residential energy consumption increase the reliance on fossil-fuel generation stations. Distributed energy resources can help to decrease the reliance on central generation stations. Presently, distributed energy resources such as solar photovoltaic, wind and bio-mass generation are subsidized in Ontario. Micro-cogeneration is an emerging technology that can be implemented as a distributed energy resource within residential or commercial buildings. Micro-cogeneration has the potential to reduce a building's energy consumption by simultaneously generating thermal and electrical power on-site. The coupling of a micro-cogeneration device with electrical storage can improve the system's ability to reduce peak electricity demands. The performance potential of micro-cogeneration devices has yet to be fully realized. This research addresses the performance of a residential micro-cogeneration device and it's ability to meet peak occupant electrical loads when coupled with electrical storage. An integrated building energy model was developed of a residential micro-cogeneration system: the house, the micro-cogeneration device, all balance of plant and space heating components, a thermal storage device, an electrical storage device, as well as the occupant electrical and hot water demands. This model simulated the performance of a micro-cogeneration device coupled to an electrical storage system within a Canadian household. A customized controller was created in ESP-r to examine the impact of various system control strategies. The economic performance of the system was assessed from the perspective of a local energy distribution company and an end-user under hypothetical electricity export purchase price scenarios. It was found that with certain control strategies the micro-cogeneration system was able to improve the

  11. Key Residential Building Equipment Technologies for Control and Grid Support PART I (Residential)

    Energy Technology Data Exchange (ETDEWEB)

    Starke, Michael R [ORNL; Onar, Omer C [ORNL; DeVault, Robert C [ORNL

    2011-09-01

    Electrical energy consumption of the residential sector is a crucial area of research that has in the past primarily focused on increasing the efficiency of household devices such as water heaters, dishwashers, air conditioners, and clothes washer and dryer units. However, the focus of this research is shifting as objectives such as developing the smart grid and ensuring that the power system remains reliable come to the fore, along with the increasing need to reduce energy use and costs. Load research has started to focus on mechanisms to support the power system through demand reduction and/or reliability services. The power system relies on matching generation and load, and day-ahead and real-time energy markets capture most of this need. However, a separate set of grid services exist to address the discrepancies in load and generation arising from contingencies and operational mismatches, and to ensure that the transmission system is available for delivery of power from generation to load. Currently, these grid services are mostly provided by generation resources. The addition of renewable resources with their inherent variability can complicate the issue of power system reliability and lead to the increased need for grid services. Using load as a resource, through demand response programs, can fill the additional need for flexible resources and even reduce costly energy peaks. Loads have been shown to have response that is equal to or better than generation in some cases. Furthermore, price-incentivized demand response programs have been shown to reduce the peak energy requirements, thereby affecting the wholesale market efficiency and overall energy prices. The residential sector is not only the largest consumer of electrical energy in the United States, but also has the highest potential to provide demand reduction and power system support, as technological advancements in load control, sensor technologies, and communication are made. The prevailing loads

  12. Household energy consumption in the United States, 1987 to 2009: Socioeconomic status, demographic composition, and energy services profiles

    Science.gov (United States)

    Kemp, Robert J.

    This dissertation examines household energy consumption in the United States over the period of 1987 to 2009, specifically focusing on the role of socioeconomic status, demographic composition, and energy services profiles. The dissertation makes use of four cross-sections from the Residential Energy Consumption Survey data series to examine how household characteristics influence annual energy consumption overall, and by fuel type. Chapter 4 shows that household income is positively related to energy consumption, but more so for combustible fuel consumption than for electricity consumption. Additionally, results for educational attainment suggest a less cross-sectional association and more longitudinal importance as related to income. Demographic composition matters, as predicted by the literature; household size and householder age show predicted effects, but when considered together, income explains any interaction between age and household size. Combustible fuels showed a far greater relationship to housing unit size and income, whereas electricity consumption was more strongly related to educational attainment, showing important differences in the associations by fuel type. Taken together, these results suggest a life course-based model for understanding energy consumption that may be strongly linked to lifestyles. Chapter 5 extends the findings in Chapter 4 by examining the patterning of physical characteristics and behaviors within households. The chapter uses Latent Class Analysis to examine a broad set of energy significant behaviors and characteristics to discover five unique energy services profiles. These profiles are uniquely patterned across demographic and socioeconomic compositions of households and have important effects on energy consumption. These profiles are likely byproducts of the lifestyles in which the household takes part, due to factors such as their socioeconomic status and household demographic composition. Overall, the dissertation

  13. Action dependent heuristic dynamic programming based residential energy scheduling with home energy inter-exchange

    International Nuclear Information System (INIS)

    Xu, Yancai; Liu, Derong; Wei, Qinglai

    2015-01-01

    Highlights: • The algorithm is developed in the two-household energy management environment. • We develop the absent energy penalty cost for the first time. • The algorithm has ability to keep adapting in real-time operations. • Its application can lower total costs and achieve better load balancing. - Abstract: Residential energy scheduling is a hot topic nowadays in the background of energy saving and environmental protection worldwide. To achieve this objective, a new residential energy scheduling algorithm is developed for energy management, based on action dependent heuristic dynamic programming. The algorithm works under the circumstance of residential real-time pricing and two adjacent housing units with energy inter-exchange, which can reduce the overall cost and enhance renewable energy efficiency after long-term operation. It is designed to obtain the optimal control policy to manage the directions and amounts of electricity energy flux. The algorithm’s architecture is mainly constructed based on neural networks, denoting the learned characteristics in the linkage of layers. To get close to real situations, many constraints such as maximum charging/discharging power of batteries are taken into account. The absent energy penalty cost is developed for the first time as a part of the performance index function. When the environment changes, the residential energy scheduling algorithm gains new features and keeps adapting in real-time operations. Simulation results show that the developed algorithm is beneficial to energy conversation

  14. A method for evaluating transport energy consumption in suburban areas

    Energy Technology Data Exchange (ETDEWEB)

    Marique, Anne-Francoise, E-mail: afmarique@ulg.ac.be; Reiter, Sigrid, E-mail: Sigrid.Reiter@ulg.ac.be

    2012-02-15

    Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits. - Highlights: Black-Right-Pointing-Pointer The method allows to assess transport energy consumption in suburban areas and highlight the best strategies to reduce it. Black-Right-Pointing-Pointer Home-to-work travels represent the most important part of calculated transport energy consumption. Black-Right-Pointing-Pointer Energy savings can be achieved by

  15. A New System to Estimate and Reduce Electrical Energy Consumption of Domestic Hot Water in Spain

    Directory of Open Access Journals (Sweden)

    Alberto Gutierrez-Escolar

    2014-10-01

    Full Text Available Energy consumption rose about 28% over the 2001 to 2011 period in the Spanish residential sector. In this environment, domestic hot water (DHW represents the second highest energy demand. There are several methodologies to estimate DHW consumption, but each methodology uses different inputs and some of them are based on obsolete data. DHW energy consumption estimation is a key tool to plan modifications that could enhance this consumption and we decided to update the methodologies. We studied DHW consumption with data from 10 apartments in the same building during 18 months. As a result of the study, we updated one chosen methodology, adapting it to the current situation. One of the challenges to improve efficiency of DHW use is that most of people are not aware of how it is consumed in their homes. To help this information to reach consumers, we developed a website to allow users to estimate the final electrical energy needed for DHW. The site uses three estimation methodologies and chooses the best fit based on information given by the users. Finally, the application provides users with recommendations and tips to reduce their DHW consumption while still maintaining the desired comfort level.

  16. Evaluation of advanced technologies for residential appliances and residential and commercial lighting

    Energy Technology Data Exchange (ETDEWEB)

    Turiel, I.; Atkinson, B.; Boghosian, S.; Chan, P.; Jennings, J.; Lutz, J.; McMahon, J.; Rosenquist, G.

    1995-01-01

    Section 127 of the Energy Policy Act requires that the Department of Energy (DOE) prepare a report to Congress on the potential for the development and commercialization of appliances that substantially exceed the present federal or state efficiency standards. Candidate high-efficiency appliances must meet several criteria including: the potential exists for substantial improvement (beyond the minimum established in law) of the appliance`s energy efficiency; electric, water, or gas utilities are prepared to support and promote the commercialization of such appliances; manufacturers are unlikely to undertake development and commercialization of such appliances on their own, or development and production would be substantially accelerated by support to manufacturers. This report describes options to improve the efficiency of residential appliances, including water heaters, clothes washers and dryers, refrigerator/freezers, dishwashers, space heating and cooling devices, as well as residential and commercial lighting products. Data from this report (particularly Appendix 1)were used to prepare the report to Congress mentioned previously. For the residential sector, national energy savings are calculated using the LBL Residential Energy Model. This model projects the number of households and appliance saturations over time. First, end-use consumption is calculated for a base case where models that only meet the standard replace existing models as these reach the end of their lifetime. Second, models with efficiencies equal to the technology under consideration replace existing models that reach the end of their lifetime. For the commercial sector, the COMMEND model was utilized to project national energy savings from new technologies. In this report, energy savings are shown for the period 1988 to 2015.

  17. The impact of VAT introduction on UK residential energy demand: an investigation using the cointegration approach

    International Nuclear Information System (INIS)

    Fouquet, Roger

    1995-01-01

    Over a two-year period, which started in April 1994, the real price of energy to UK households was expected to rise by 17.5% as a result of value-added tax (VAT) introduction. The regressive nature of the tax forced the government to limit VAT on residential fuel to 8%. Using a cointegration approach, to take account of the non-stationarity fuel consumption time series, this paper estimates real energy and fuel specific price and income elasticities for the period 1974:1-1994:1. They suggest that natural gas has a positive real energy price elasticity indicating that, as real price of energy rises, households scrap inefficient heaters and invest in more efficient ones, principally natural gas. These estimates enable projections to be made of the impact of the introduction of VAT and imply a rise in natural gas consumption as a result of the additional VAT, although at the expense of other less efficient fuels. (author)

  18. From energy efficiency to integrated sustainable urbanism in residential development in China

    Energy Technology Data Exchange (ETDEWEB)

    Zhichang Cai

    2010-06-15

    between the economic growth and energy consumption in the fast-growing situation, presents several scenarios depicting energy and comfort and makes suggestions for China. The roles of government, developers and residents are also addressed. The paper argues that an adaptive and holistic approach, which must be expanded from both spatial scale and temporal span, should be established for the Green Residential Building development in China, as an effective way to meet the sustainability goal

  19. Residential energy use in Mexico: Structure, evolution, environmental impacts, and savings potential

    Energy Technology Data Exchange (ETDEWEB)

    Masera, O.; Friedmann, R.; deBuen, O.

    1993-05-01

    This article examines the characteristics of residential energy use in Mexico, its environmental impacts, and the savings potential of the major end-uses. The main options and barriers to increase the efficiency of energy use are discussed. The energy analysis is based on a disaggregation of residential energy use by end-uses. The dynamics of the evolution of the residential energy sector during the past 20 years are also addressed when the information is available. Major areas for research and for innovative decision-making are identified and prioritized.

  20. Environmental, economic and energy analysis of double glazing with a circulating water chamber in residential buildings

    International Nuclear Information System (INIS)

    Gil-Lopez, Tomas; Gimenez-Molina, Carmen

    2013-01-01

    Highlights: ► Glazed façade area is the part that produces greatest energy losses and gains. ► A potential for energy savings has been detected in residential buildings. ► Active glazing comprising two laminated glass panels with a circulating water chamber. ► Analysis of energy performance, economic viability and impact on carbon footprint. ► Natural gas condensing boilers is the less contaminating and more efficient option. -- Abstract: In general, the glazed façade area of a building is the part that produces the greatest energy losses and gains. The basic aim of this work is to achieve a more efficient heat control in closed spaces. To this end, an exhaustive study has been made of active glazing comprising two laminated glass panels with a circulating water chamber. Not only has the energy consumption been analysed but also the energy efficiency according to fuel type, the amount of CO 2 emitted into the atmosphere and the economic cost. The results of this study, from the points of view of economic feasibility and energy efficiency, show that the solution of double glazing with a circulating water chamber is a less polluting and more efficient option than the systems currently used. This solution is able to reduce the energy losses and gains that are produced through the glazed façade of a building by 18.26% for calorific and frigorific energy compared to the total consumption of the building. The layout of the proposed installation facilitates its integration into any type of residential building, either under construction or being renovated. Moreover, its zero visual impact means it can even be implemented in places with strict town-planning regulations.

  1. Emissions reduction and economic implications of renewable energy market penetration of power generation for residential consumption in the MENA region

    International Nuclear Information System (INIS)

    El Fadel, M.; Rachid, G.; El-Samra, R.; Bou Boutros, G.; Hashisho, J.

    2013-01-01

    This paper examines the implications of renewable energy (RE) deployment in power generation for residential consumption in the Middle East and North Africa (MENA) region under various RE penetration targets. A comparative assessment revealed a great heterogeneity among countries with Turkey dominating as the highest emitter. At the sub-regional level, the Middle East sub-region contributes more than double the GHG emissions estimated for the Gulf and North Africa sub-regions with all sub-regions achieving reductions in the range of 6–38% depending on the RE target penetration and promising up to 54% savings on investment excluding positive externalities associated with the offset of greenhouse gas (GHG) emissions savings. - Highlights: ► Heterogeneity in GHG emissions in MENA region with Turkey contributing the most. ► Average regional GHG tCO 2 e/capita of 0.42 decreases to 0.17 with RE penetration. ► GHG emissions regional reduction reaches 8–36% depending on RE target penetration. ► Return on investment in RE promises up to 54% savings excluding positive externalities. ► Carbon credits offer economic incentives rendering RE investment more attractive.

  2. Locating room air-conditioners at floor level for energy saving in residential buildings

    Energy Technology Data Exchange (ETDEWEB)

    Gao, C.F.; Lee, Hua; Chen, W.L. [Department of Building Services Engineering, Hong Kong Polytechnic University, Hung Hom (China)

    2009-08-15

    Residential air-conditioning becomes a common feature in our daily life. They are typically installed at high level known as ceiling-based system (CAC). With the increasing use of floor-based air-conditioning system in commercial buildings for energy saving, it is proposed in this study to locate a top discharge/front return air-conditioner at floor level to resemble a floor-based air-conditioning system (FAC) to curb energy use in residential buildings. Given the concerns about draught discomfort and thermal stratification associated with floor-based air-conditioning systems, the objective of this study is to evaluate the air distribution performance and to quantify the possible energy benefits. Bedroom was chosen as a sensitive case for detailed air distribution performance evaluation. Experimental study, CFD simulations and energy simulations were conducted in achieving the specific objectives. CAC and FAC were installed in a bedroom-like environmental chamber for experimental study at different indoor and outdoor conditions. The air velocities and temperatures at various positions and levels inside the chamber were measured to determine the air distribution performance indices (ADPI) and airflow draft risk (DR). The cooling output, power consumption and coefficient of performance (COP) of the two units were measured and calculated for comparison. The experimental results show that ADPI of CAC and FAC are 92.3% and 84.6%, respectively. COP of FAC is 8.11% higher than CAC, and the corresponding DR are comparable. The experimental results were used to validate the CFD simulations as well as providing actual performance data for predicting the energy use of applying CAC and FAC in a case-study building. CFD simulations and draught assessment confirmed that there is no potential draught discomfort and thermal stratification associated with the use of FAC. Energy simulations predicted that the associated energy saving is 6.9%. Wider use of FAC in residential

  3. Evaluation and analysis of energy consumption in office buildings; Feldstudie zum Energieverbrauch von Buerogebaeuden

    Energy Technology Data Exchange (ETDEWEB)

    Maas, Stefan; Scholzen, Frank; Thewes, Andreas; Waldmann, Daniele [Universitaet Luxemburg, Campus Kirchberg, Fakultaet fuer Naturwissenschaften, Technologie und Kommunikation, Forschungseinheit Ingenieurswissenschaften, Luxemburg (Luxembourg); Zuerbes, Arno [Fachhochschule Bingen, Fachbereich Technik, Informatik und Wirtschaft, Bingen am Rhein (Germany)

    2011-06-15

    During the last years the national energy consumption of Luxembourg shifted noticeable towards the building sector. In 1990 71 % of the total domestic end energy consumption was ascribed to industrial sector and only 20 % to the building sector. The distribution changed significantly and in 2005 the energy consumption dedicated to industrial sector represented only 44 %, transport 25 % and the tertiary sector 31 % [1], which includes private and public households as well as non-residential buildings. The buildings account for 40 % of total energy consumption in the EU and there is an enormous energy saving potential. Therefore the EUdirective 2002/91/EG [2] requires from all EU Member States to save energy in this sector. Hence the energy saving of buildings present an essential part of climate protection. Furthermore the new directive 2010/31/EG [3] requires from the Member States to tighten national standards and to draw up national plans for increasing the number of nearly zero-energy buildings. But for a better understanding of energy flows in buildings and to develop energy saving concepts as well as to estimate possible energy savings of buildings a detailed analysis of energy consumption databases is an important precondition. The following field survey monitors 47 office buildings in Luxembourg. A separate gathering of electricity, heat and cooling energy consumptions allowed a detailed energetic analysis. A statistical analysis and interpretation of new buildings differentiated by energy sources as well as definition of energy relevant parameters like the window ratio, the construction method, the type of use or the kind of technical installations show the problems of typical existing office buildings. A final extrapolation to the population of all new office buildings in Luxembourg helps to estimate the energy saving potential.

  4. Life Cycle Multi-Criteria Analysis Of Alternative Energy Supply Systems For A Residential Building

    Directory of Open Access Journals (Sweden)

    Artur Rogoža

    2013-12-01

    Full Text Available The article analyses energy supply alternatives for a partially renovated residential building. In addition to the existing district heating (base case alternative systems, gas boilers, heat pumps (air-water and ground-water, solar collectors, solar cells, and combinations of these systems have been examined. Actual heat consumption of the building and electricity demand determined by the statistical method are used for simulating the systems. The process of simulation is performed using EnergyPro software. In order to select an optimal energy supply option, the life cycle analysis of all systems has been carried out throughout a life span of the building, and the estimated results of energy, environmental and economic evaluation have been converted into non-dimensional variables (3E using multi–criteria analysis.Article in Lithuanian

  5. Residential Central Air Conditioning and Heat Pump Installation – Workshop Outcomes

    Energy Technology Data Exchange (ETDEWEB)

    Goetzler, William [Navigant Consulting, Burlington, MA (United States); Zogg, Robert [Navigant Consulting, Burlington, MA (United States); Young, Jim [Navigant Consulting, Burlington, MA (United States); Bargach, Youssef [Navigant Consulting, Burlington, MA (United States)

    2016-11-01

    DOE's Building Technologies Office works with researchers and industry partners to develop and deploy technologies that can substantially reduce energy consumption in residential and commercial buildings. This report aims to advance BTO’s energy savings, emissions reduction, and other program goals by identifying research and development (R&D), demonstration and deployment, and other non-regulatory initiatives for improving the design and installation of residential central air conditioners (CAC) and central heat pumps (CHP). Improving the adoption of CAC/CHP design and installation best practices has significant potential to reduce equipment costs, improve indoor air quality and comfort, improve system performance, and most importantly, reduce household energy consumption and costs for heating and cooling by addressing a variety of common installation issues.

  6. Energy Consumption Database

    Science.gov (United States)

    Consumption Database The California Energy Commission has created this on-line database for informal reporting ) classifications. The database also provides easy downloading of energy consumption data into Microsoft Excel (XLSX

  7. Micro-generation schemes: user behaviours and attitudes towards energy consumption.

    Science.gov (United States)

    Stedmon, Alex W; Winslow, Robin; Langley, Alyson

    2013-01-01

    In the last decade, there has been increasing pressure on developed nations to reduce their carbon emissions. Distributed micro-generation (MG) initiatives provide incentives for small-scale renewable energy generation, particularly by residential home-owners. This paper investigates the existing knowledge base to consider if living in a property with on-site renewable electricity generation may affect user attitudes and behaviours. This knowledge is interpreted from a human factors perspective by focussing on individual behaviour and social learning as well as identifying underlying user requirements and user needs. Suggestions are then made with regard to the effects that MG schemes may have on public attitudes and where further research efforts should be focused. There is evidence that renewable energy initiatives are likely to result in a shift in public behaviour, particularly towards reduced energy consumption where mechanisms for increased feedback can act as a facilitator to learning and motivator to change. The role of human factors/ergonomics in supporting renewable energy initiatives has not been fully exploited. A range of case studies explore user needs and awareness of renewable energy, presenting mixed evidence for reduced consumption. However, individual behaviour and social learning can be influenced through increased feedback that acts as a facilitator to change.

  8. Energy efficient of the residential buildings based climatic condition using experimental design: a case study in malaysia

    Directory of Open Access Journals (Sweden)

    Zahraee Seyed Mojib

    2017-01-01

    Full Text Available In recent years, energy consumption has become a critical issue in the developed and developing countries. Residential buildings are one of the most users of energy in the construction sector that use the highest share of energy. This paper aims at evaluating the effect of four factors that are temperature, humidity, airflow and pressure on the cooling load in the residential buildings. To achieve this goal, statistical experimental design is used to determine the optimum setting of factors that result in optimum energy usage. Simulation software and energy analysis is used to simulate a two-storey building in Malaysia as the case of study. Final results showed that the temperature, humidity and interaction between them have the most significant effect on the energy cooling load. Moreover, to obtain the minimum value of cooling load the temperature and humidity should be equal to A=20 Celsius degree and B=60% respectively. In addition, the other two insignificant factors, airflow and pressure should be placed at the high level which are equal to C=3 cubic meters per hour, and D=6 Pascal (P respectively.

  9. Australian energy consumption and production to 2014-15

    International Nuclear Information System (INIS)

    Dickson, A.

    1999-01-01

    The medium to long term outlook for the Australian energy sector is examined, drawing on the ABARE report Australian Energy: Market Developments and Projections to 2014-2015. It is estimated that recent market developments, in particular in the electricity and gas markets, and ongoing policy responses to such things as global climate change, will continue to have profound implications for the energy sector over the medium to longer term. In this environment of uncertainty, high quality and timely information on the future of the energy sector is critical to decision makers. The major input into ABARE's energy projections is the information collected in the biennial fuel and electricity survey. The principal sectors covered by the survey include the mining, manufacturing electricity and gas production sectors. There is also some coverage in the government administration, defence, communications and community services sectors (for example, hospitals and universities). Energy consumption in the sectors not adequately covered by the survey are projected using economic models. These include agriculture, construction, wholesale and retail trade, transport other than rail, finance and insurance, government administration and defence, health and community services, property and business services, cultural and recreational services, personal and other services and residential services. The fuel and electricity survey covers about 5,300 separate establishments in 3,000 organisations. Information is collected on current and expected energy consumption patterns and levels. The projections for these sectors are therefore based on consumers' own expectations about factors that will influence their energy use. Responses to the survey are also supplemented by ABARE projections of the energy requirements of known and planned new projects, such as new minerals processing plants or gas pipelines coming on stream

  10. Intelligent demand side management of residential building energy systems

    Science.gov (United States)

    Sinha, Maruti N.

    Advent of modern sensing technologies, data processing capabilities and rising cost of energy are driving the implementation of intelligent systems in buildings and houses which constitute 41% of total energy consumption. The primary motivation has been to provide a framework for demand-side management and to improve overall reliability. The entire formulation is to be implemented on NILM (Non-Intrusive Load Monitoring System), a smart meter. This is going to play a vital role in the future of demand side management. Utilities have started deploying smart meters throughout the world which will essentially help to establish communication between utility and consumers. This research is focused on investigation of a suitable thermal model of residential house, building up control system and developing diagnostic and energy usage forecast tool. The present work has considered measurement based approach to pursue. Identification of building thermal parameters is the very first step towards developing performance measurement and controls. The proposed identification technique is PEM (Prediction Error Method) based, discrete state-space model. The two different models have been devised. First model is focused toward energy usage forecast and diagnostics. Here one of the novel idea has been investigated which takes integral of thermal capacity to identify thermal model of house. The purpose of second identification is to build up a model for control strategy. The controller should be able to take into account the weather forecast information, deal with the operating point constraints and at the same time minimize the energy consumption. To design an optimal controller, MPC (Model Predictive Control) scheme has been implemented instead of present thermostatic/hysteretic control. This is a receding horizon approach. Capability of the proposed schemes has also been investigated.

  11. A local-community-level, physically-based model of end-use energy consumption by Australian housing stock

    International Nuclear Information System (INIS)

    Ren Zhengen; Paevere, Phillip; McNamara, Cheryl

    2012-01-01

    We developed a physics based bottom-up model to estimate annual housing stock energy consumption at a local community level (Census Collection District—CCD) with an hourly resolution. Total energy consumption, including space heating and cooling, water heating, lighting and other household appliances, was simulated by considering building construction and materials, equipment and appliances, local climates and occupancy patterns. The model was used to analyse energy use by private dwellings in more than five thousand CCDs in the state of New South Wales (NSW), Australia. The predicted results focus on electricity consumption (natural gas and other fuel sources were excluded as the data are not available) and track the actual electricity consumption at CCD level with an error of 9.2% when summed to state level. For NSW and Victoria 2006, the predicted state electricity consumption is close to the published model (within 6%) and statistical data (within 10%). A key feature of the model is that it can be used to predict hourly electricity consumption and peak demand at fine geographic scales, which is important for grid planning and designing local energy efficiency or demand response strategies. - Highlights: ► We developed a physics-based model to estimate housing stock energy consumption. ► House type and vintage, family type and occupancy time were considered. ► The model results are close to actual energy consumption at local community level. ► Its’ results agree well with the published model and statistical data at state level. ► It shows the model could provide from hourly to annual residential energy consumption.

  12. Response of residential electricity demand to price: The effect of measurement error

    Energy Technology Data Exchange (ETDEWEB)

    Alberini, Anna [Department of Agricultural Economics, University of Maryland (United States); Centre for Energy Policy and Economics (CEPE), ETH Zurich (Switzerland); Gibson Institute and Institute for a Sustainable World, School of Biological Sciences, Queen' s University Belfast, Northern Ireland (United Kingdom); Filippini, Massimo, E-mail: mfilippini@ethz.ch [Centre for Energy Policy and Economics (CEPE), ETH Zurich (Switzerland); Department of Economics, University of Lugano (Switzerland)

    2011-09-15

    In this paper we present an empirical analysis of the residential demand for electricity using annual aggregate data at the state level for 48 US states from 1995 to 2007. Earlier literature has examined residential energy consumption at the state level using annual or monthly data, focusing on the variation in price elasticities of demand across states or regions, but has failed to recognize or address two major issues. The first is that, when fitting dynamic panel models, the lagged consumption term in the right-hand side of the demand equation is endogenous. This has resulted in potentially inconsistent estimates of the long-run price elasticity of demand. The second is that energy price is likely mismeasured. To address these issues, we estimate a dynamic partial adjustment model using the Kiviet corrected Least Square Dummy Variables (LSDV) (1995) and the Blundell-Bond (1998) estimators. We find that the long-term elasticities produced by the Blundell-Bond system GMM methods are largest, and that from the bias-corrected LSDV are greater than that from the conventional LSDV. From an energy policy point of view, the results obtained using the Blundell-Bond estimator where we instrument for price imply that a carbon tax or other price-based policy may be effective in discouraging residential electricity consumption and hence curbing greenhouse gas emissions in an electricity system mainly based on coal and gas power plants. - Research Highlights: > Updated information on price elasticities for the US energy policy. > Taking into account measurement error in the price variable increase price elasticity. > Room for discouraging residential electricity consumption using price increases.

  13. Response of residential electricity demand to price: The effect of measurement error

    International Nuclear Information System (INIS)

    Alberini, Anna; Filippini, Massimo

    2011-01-01

    In this paper we present an empirical analysis of the residential demand for electricity using annual aggregate data at the state level for 48 US states from 1995 to 2007. Earlier literature has examined residential energy consumption at the state level using annual or monthly data, focusing on the variation in price elasticities of demand across states or regions, but has failed to recognize or address two major issues. The first is that, when fitting dynamic panel models, the lagged consumption term in the right-hand side of the demand equation is endogenous. This has resulted in potentially inconsistent estimates of the long-run price elasticity of demand. The second is that energy price is likely mismeasured. To address these issues, we estimate a dynamic partial adjustment model using the Kiviet corrected Least Square Dummy Variables (LSDV) (1995) and the Blundell-Bond (1998) estimators. We find that the long-term elasticities produced by the Blundell-Bond system GMM methods are largest, and that from the bias-corrected LSDV are greater than that from the conventional LSDV. From an energy policy point of view, the results obtained using the Blundell-Bond estimator where we instrument for price imply that a carbon tax or other price-based policy may be effective in discouraging residential electricity consumption and hence curbing greenhouse gas emissions in an electricity system mainly based on coal and gas power plants. - Research Highlights: → Updated information on price elasticities for the US energy policy. → Taking into account measurement error in the price variable increase price elasticity. → Room for discouraging residential electricity consumption using price increases.

  14. SOME SPECIFIC FEATURES OF ENERGY CONSUMPTION IN MODERN RESIDENTIAL BUILDINGS

    Directory of Open Access Journals (Sweden)

    S. N. Osipov

    2018-01-01

    Full Text Available Over the past 20 years there have been significant changes in the customer requirements for housing in the countries of the former USSR. Besides, new materials and construction products, such as the ones for sealed windows and balcony doors have appeared in the market. The number of vacant flats with the heating off in the winter significantly increased that may cause condensation on the surfaces of interroom partitions and the formation of mold. Meanwhile, the requirements for lower energy consumption are constantly increasing, that is especially pronouncedly manifested in the growth of normative values of thermal resistance of enclosing structures of buildings and in the increased interest in the use of secondary energy resources extracted from the air and effluent wastewater. The present article describes the method to prevent moisture condensation on the fencing of adjacent premises with different temperatures containing heating systems and the use of waste heat removed from the room exhaust air. For quick emergency switching of in-house systems of heat and gas supply to outdoor mobile sources of heat and gas it is recommended to install special taps with connectors insulated in special niches in the walls or other parts of buildings considering the possibility of placing them close to the outer mobile sources of heat and gas. In the case of heating the building with the aid of a roof gas boiler or by doorto-door heaters fueled by gas, a single pipeline (collector, equipped with an additional device for the connection of emergency gas supply is being put along the wall. In order to reduce specific heat consumption for heating of buildings it is recommended to increase the net enclosure volume of buildings and to improve their form in various ways, including by combining two or more adjacent low-rise buildings in one secondary building with increasing height and with the broadening of either or each side for modernization and reconstruction

  15. Identifying Cost-Effective Residential Energy Efficiency Opportunities for the Kauai Island Utility Cooperative

    Energy Technology Data Exchange (ETDEWEB)

    Busche, S.; Hockett, S.

    2010-06-01

    This analysis is an update to the 2005 Energy Efficiency Potential Study completed by KEMA for the Kauai Island Utility Cooperative (KIUC) and identifies potential energy efficiency opportunities in the residential sector on Kauai (KEMA 2005). The Total Resource Cost (TRC) test is used to determine which of the energy efficiency measures analyzed in the KEMA report are cost effective for KIUC to include in a residential energy efficiency program. This report finds that there remains potential energy efficiency savings that could be cost-effectively incentivized through a utility residential demand-side management program on Kauai if implemented in such a way that the program costs per measure are consistent with the current residential program costs.

  16. Residential Energy Efficiency Research Planning Meeting Summary Report

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2012-02-01

    This report summarizes key findings and outcomes from the U.S. Department of Energy's Building America Residential Energy Efficiency Research Planning meeting, held on October 28-29, 2011, in Washington, D.C.

  17. Residential building stocks and flows as dynamic systems: Chilean dwelling stock and energy modeling, including earthquakes.

    OpenAIRE

    Gallardo, Carla

    2012-01-01

    The building sector comprises a very important part of each country s economy, playing an important role in the consumption of resources and energy. In practice there is little knowledge on how the building stock develops. It is useful then to understand the dynamics and the metabolism of the built environment. Research on building stocks, predominantly on the residential sector, has been performed mainly for developed countries. There is little or none research on building stock for developi...

  18. End use technology choice in the National Energy Modeling System (NEMS): An analysis of the residential and commercial building sectors

    International Nuclear Information System (INIS)

    Wilkerson, Jordan T.; Cullenward, Danny; Davidian, Danielle; Weyant, John P.

    2013-01-01

    The National Energy Modeling System (NEMS) is arguably the most influential energy model in the United States. The U.S. Energy Information Administration uses NEMS to generate the federal government's annual long-term forecast of national energy consumption and to evaluate prospective federal energy policies. NEMS is considered such a standard tool that other models are calibrated to its forecasts, in both government and academic practice. As a result, NEMS has a significant influence over expert opinions of plausible energy futures. NEMS is a massively detailed model whose inner workings, despite its prominence, receive relatively scant critical attention. This paper analyzes how NEMS projects energy demand in the residential and commercial sectors. In particular, we focus on the role of consumers' preferences and financial constraints, investigating how consumers choose appliances and other end-use technologies. We identify conceptual issues in the approach the model takes to the same question across both sectors. Running the model with a range of consumer preferences, we estimate the extent to which this issue impacts projected consumption relative to the baseline model forecast for final energy demand in the year 2035. In the residential sector, the impact ranges from a decrease of 0.73 quads (− 6.0%) to an increase of 0.24 quads (+ 2.0%). In the commercial sector, the impact ranges from a decrease of 1.0 quads (− 9.0%) to an increase of 0.99 quads (+ 9.0%). - Highlights: • This paper examines the impact of consumer preferences on final energy in the Commercial and Residential sectors of the National Energy Modeling System (NEMS). • We describe the conceptual and empirical basis for modeling consumer technology choice in NEMS. • We offer a range of alternative parameters to show the energy demand sensitivity to technology choice. • We show there are significant potential savings available in both building sectors. • Because the model uses its own

  19. Electrical energy consumption control apparatuses and electrical energy consumption control methods

    Science.gov (United States)

    Hammerstrom, Donald J.

    2012-09-04

    Electrical energy consumption control apparatuses and electrical energy consumption control methods are described. According to one aspect, an electrical energy consumption control apparatus includes processing circuitry configured to receive a signal which is indicative of current of electrical energy which is consumed by a plurality of loads at a site, to compare the signal which is indicative of current of electrical energy which is consumed by the plurality of loads at the site with a desired substantially sinusoidal waveform of current of electrical energy which is received at the site from an electrical power system, and to use the comparison to control an amount of the electrical energy which is consumed by at least one of the loads of the site.

  20. Energy and IAQ Implications of Residential Ventilation Cooling

    Energy Technology Data Exchange (ETDEWEB)

    Turner, William [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Walker, Iain [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2014-08-01

    This study evaluates the energy, humidity and indoor air quality (IAQ) implications of residential ventilation cooling in all U.S. IECC climate zones. A computer modeling approach was adopted, using an advanced residential building simulation tool with airflow, energy and humidity models. An economizer (large supply fan) was simulated to provide ventilation cooling while outdoor air temperatures were lower than indoor air temperatures (typically at night). The simulations were performed for a full year using one-minute time steps to allow for scheduling of ventilation systems and to account for interactions between ventilation and heating/cooling systems.

  1. Commercialization of residential fuel cell systems at Tokyo Gas

    Energy Technology Data Exchange (ETDEWEB)

    Watanabe, Hisao; Kameyama, Hiromichi; Okamura, Kiyoshi; Nishizaki, Kunihiro

    2007-07-01

    Increased affluence at homes may inevitably bring about increased energy consumption with it and hence increased CO2 emission from the residential sector, which accounts for a substantial share in the overall CO2 emission. Technologies that can reduce CO2 emission without sacrificing comfort of living at home will be critically important to achieve economic prosperity and preservation of the global environment at the same time. The residential fuel cell system is one of those technologies. Tokyo Gas has been engaging in its development cooperating with the manufacturers and has been playing an important role in the design, development and promotion of fuel cell systems with its vast knowledge and experience of end users' energy consumption. The development, demonstration and promotion of fuel cell systems have been strongly supported by the Japanese Government. In 'the Large Scale Demonstration Project', more than 1000 units of polymer electrolyte fuel cells have been installed to existing homes and have demonstrated their energy saving and CO2 emission reduction potential. This paper reports the status of the development of residential fuel cell systems in Japan and the role Tokyo Gas plays in it.

  2. Analyzing the Impact of Residential Building Attributes, Demographic and Behavioral Factors on Natural Gas Usage

    Energy Technology Data Exchange (ETDEWEB)

    Livingston, Olga V.; Cort, Katherine A.

    2011-03-03

    This analysis examines the relationship between energy demand and residential building attributes, demographic characteristics, and behavioral variables using the U.S. Department of Energy’s Residential Energy Consumption Survey 2005 microdata. This study investigates the applicability of the smooth backfitting estimator to statistical analysis of residential energy consumption via nonparametric regression. The methodology utilized in the study extends nonparametric additive regression via local linear smooth backfitting to categorical variables. The conventional methods used for analyzing residential energy consumption are econometric modeling and engineering simulations. This study suggests an econometric approach that can be utilized in combination with simulation results. A common weakness of previously used econometric models is a very high likelihood that any suggested parametric relationships will be misspecified. Nonparametric modeling does not have this drawback. Its flexibility allows for uncovering more complex relationships between energy use and the explanatory variables than can possibly be achieved by parametric models. Traditionally, building simulation models overestimated the effects of energy efficiency measures when compared to actual "as-built" observed savings. While focusing on technical efficiency, they do not account for behavioral or market effects. The magnitude of behavioral or market effects may have a substantial influence on the final energy savings resulting from implementation of various energy conservation measures and programs. Moreover, variability in behavioral aspects and user characteristics appears to have a significant impact on total energy consumption. Inaccurate estimates of energy consumption and potential savings also impact investment decisions. The existing modeling literature, whether it relies on parametric specifications or engineering simulation, does not accommodate inclusion of a behavioral component. This

  3. The impact of consumer behavior on residential energy demand for space heating

    Energy Technology Data Exchange (ETDEWEB)

    Haas, R.; Auer, H.; Biermayr, P. [Vienna Univ. of Technology (Austria). Inst. of Energy Economics

    1998-04-01

    Besides technical parameters, consumer behavior is the most important issue with respect to energy consumption in households. In this paper, the results of a cross-section analysis of Austrian households are presented. The impact of the following parameters on residential energy demand for space heating have been investigated: (i) thermal quality of buildings; (ii) consumer behavior; (iii) heating degree days; (iv) building type (single- or multi-family dwellings). The result of this investigation provides evidence of a rebound-effect of about 15 to 30% due to building retrofit. This leads to the conclusion that energy savings achieved in practice (and straightforward the reduction in CO{sub 2} emissions) due to energy conservation measures will be lower than those calculated in engineering conservation studies. Straightforward, the most important conclusions for energy policy makers are: (i) Standards, building codes, respectively, are important tools to increase the thermal quality of new buildings; and (ii) Due to prevailing low energy prices, a triggering tool has to be implemented which may be rebates or loans. (orig.)

  4. Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model

    Energy Technology Data Exchange (ETDEWEB)

    Garikapati, Venu M. [Systems Analysis and Integration Section, National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401; You, Daehyun [Maricopa Association of Governments, 302 North First Avenue, Suite 300, Phoenix, AZ 85003; Zhang, Wenwen [School of City and Regional Planning, Center for Geographic Information Systems, Georgia Institute of Technology, 760 Spring Street, Suite 230, Atlanta, GA 30308; Pendyala, Ram M. [School of Sustainable Engineering and the Built Environment, Arizona State University, 660 South College Avenue, Tempe, AZ 85281; Guhathakurta, Subhrajit [School of City and Regional Planning, Center for Geographic Information Systems, Georgia Institute of Technology, 760 Spring Street, Suite 230, Atlanta, GA 30308; Brown, Marilyn A. [School of Public Policy, 685 Cherry Street, Georgia Institute of Technology, Atlanta, GA 30332; Dilkina, Bistra [School of Computational Science and Engineering, 266 Ferst Drive, Georgia Institute of Technology, Atlanta, GA 30332

    2017-01-01

    This paper presents a methodology for the calculation of the consumption of household travel energy at the level of the traffic analysis zone (TAZ) in conjunction with information that is readily available from a standard four-step travel demand model system. This methodology embeds two algorithms. The first provides a means of allocating non-home-based trips to residential zones that are the source of such trips, whereas the second provides a mechanism for incorporating the effects of household vehicle fleet composition on fuel consumption. The methodology is applied to the greater Atlanta, Georgia, metropolitan region in the United States and is found to offer a robust mechanism for calculating the footprint of household travel energy at the level of the individual TAZ; this mechanism makes possible the study of variations in the energy footprint across space. The travel energy footprint is strongly correlated with the density of the built environment, although socioeconomic differences across TAZs also likely contribute to differences in travel energy footprints. The TAZ-level calculator of the footprint of household travel energy can be used to analyze alternative futures and relate differences in the energy footprint to differences in a number of contributing factors and thus enables the design of urban form, formulation of policy interventions, and implementation of awareness campaigns that may produce more-sustainable patterns of energy consumption.

  5. Solar Energy Systems for Ohioan Residential Homeowners

    Science.gov (United States)

    Luckett, Rickey D.

    Dwindling nonrenewable energy resources and rising energy costs have forced the United States to develop alternative renewable energy sources. The United States' solar energy industry has seen an upsurge in recent years, and photovoltaic holds considerable promise as a renewable energy technology. The purpose of this case study was to explore homeowner's awareness of the benefits of solar energy. Disruptive-innovation theory was used to explore marketing strategies for conveying information to homeowners about access to new solar energy products and services. Twenty residential homeowners were interviewed face-to-face to explore (a) perceived benefits of solar energy in their county in Ohio, and (b) perceptions on the rationale behind the marketing strategy of solar energy systems sold for residential use. The study findings used inductive analyses and coding interpretation to explore the participants' responses that revealed 3 themes: the existence of environmental benefits for using solar energy systems, the expensive cost of equipment associated with government incentives, and the lack of marketing information that is available for consumer use. The implications for positive social change include the potential to enable corporate leaders, small business owners, and entrepreneurs to develop marketing strategies for renewable energy systems. These strategies may promote use of solar energy systems as a clean, renewable, and affordable alternative electricity energy source for the 21st century.

  6. Summary of Gaps and Barriers for Implementing Residential Building Energy Efficiency Strategies

    Energy Technology Data Exchange (ETDEWEB)

    2010-08-01

    This report presents the key gaps and barriers to implementing residential energy efficiency strategies in the U.S. market, as identified in sessions at the U.S. Department of Energy's Building America 2010 Residential Energy Efficiency Meeting held in Denver, Colorado, on July 20-22, 2010.

  7. Scenarios of application of energy certification procedure for residential buildings in Lebanon

    International Nuclear Information System (INIS)

    Cantin, R.; Mourtada, A.; Guarracino, G.; Adra, N.; Nasser, M.; Maamari, F.

    2007-01-01

    This paper describes the results of a French-Lebanese scientific cooperation, between 2001 and 2005, about 'Rational use of energy in the residential buildings in Lebanon and adaptation of an energy certification procedure'. The aim of this project is to promote the energy efficiency in the existing residential buildings in Lebanon, using an energy certification procedure, and to evaluate the energy certification foresight with prospective methods. The paper first describes an energy investigation in Lebanese residential buildings, and the energy certification procedure. It presents the foresight methodology implemented to identify the key variables and the actors. Finally, the paper exposes the morphological method which allows to elaborate three scenarios of energy performance certification. These scenarios are presented in order to provide a decision making for the actors of the Lebanese energy policy

  8. Modeling residential water and related energy, carbon footprint and costs in California

    International Nuclear Information System (INIS)

    Escriva-Bou, Alvar; Lund, Jay R.; Pulido-Velazquez, Manuel

    2015-01-01

    Graphical abstract: - Highlights: • We model residential water use and related energy and GHG emissions in California. • Heterogeneity in use, spatial variability and water and energy rates are accounted. • Outdoor is more than 50% of water use but 80% of energy is used by faucet + shower. • Variability in water and energy prices affects willingness to adopt conservation. • Targeting high-use hoses and joint conservation policies are effective strategies. - Abstract: Starting from single-family household water end-use data, this study develops an end-use model for water-use and related energy and carbon footprint using probability distributions for parameters affecting water consumption in 10 local water utilities in California. Monte Carlo simulations are used to develop a large representative sample of households to describe variability in use, with water bills for each house for different utility rate structures. The water-related energy consumption for each household realization was obtained using an energy model based on the different water end-uses, assuming probability distributions for hot-water-use for each appliance and water heater characteristics. Spatial variability is incorporated to account for average air and household water inlet temperatures and price structures for each utility. Water-related energy costs are calculated using averaged energy price for each location. CO 2 emissions were derived from energy use using emission factors. Overall simulation runs assess the impact of several common conservation strategies on household water and energy use. Results show that single-family water-related CO 2 emissions are 2% of overall per capita emissions, and that managing water and energy jointly can significantly reduce state greenhouse gas emissions

  9. An analysis of the Dutch service sector. Energy consumption and trends

    International Nuclear Information System (INIS)

    Ramirez, A.; Patel, M.; Blok, K.

    2002-09-01

    Energy efficiency and its implications for a decrease in carbon dioxide emissions have been a main force behind the current debate on energy issues. Until now, the attention of policy-makers and scientists has been mainly focused on the industrial and residential sectors, although the transport sector has gained relevance in the fast few years. The service sector, on the other hand, has remained at the bottom of the priority list. The main goal of this paper is to explore patterns of energy consumption and energy intensity in the Dutch service sector in the last 15 years. This paper is divided into two parts. The first part deals with developments for the whole sector, including a decomposition analysis, and the second part analyses sectoral developments for five sub-sectors: Wholesale and retail trade, hotels and restaurants; Financial institutes; Real estate renting and business activities; Education and Hospitals. At the aggregate level we have found a strong increase in energy consumption, especially in electricity. Furthermore, we found no evidence of significant decrease in energy intensity in the last decade. Furthermore, the decomposition analysis showed that (a) the activity effect (value added) has been the main driving force behind the increase of energy consumption of the service sector, (b) an increase in labour intensity has also boosted energy consumption and (c) energy intensity (in terms of energy per employee) did not have a significant role on decreasing energy use. At the subsectoral level the picture is blurred, especially due to the lack of good quality data. With exception of the sector Real estate renting and business activities which showed a decrease in energy intensity of about 20% between 1993 and 1999, the decrease in energy intensity is quite low. Hence, the results point towards a failure of actual energy policies to address the service sector. This is in contrast to the fact that, due to the high share of electricity consumption and

  10. The greenhouse gas and energy impacts of using wood instead of alternatives in residential construction in the United States

    International Nuclear Information System (INIS)

    Upton, Brad; Miner, Reid; Spinney, Mike; Heath, Linda S.

    2008-01-01

    Data developed by the Consortium for Research on Renewable Industrial Materials were used to estimate savings of greenhouse gas emissions and energy consumption associated with use of wood-based building materials in residential construction in the United States. Results indicate that houses with wood-based wall systems require 15-16% less total energy for non-heating/cooling purposes than thermally comparable houses employing alternative steel- or concrete-based building systems. Results for non-renewable energy consumption are essentially the same as those for total energy, reflecting the fact that most of the displaced energy is in fossil fuels. Over a 100-year period, net greenhouse gas emissions associated with wood-based houses are 20-50% lower than emissions associated with thermally comparable houses employing steel- or concrete-based building systems. Assuming 1.5 million single-family housing starts per year, the difference between wood and non-wood building systems represents about 9.6 Mt of CO 2 equivalents per year. The corresponding energy benefit associated with wood-based building materials is approximately 132 PJ year -1 . These estimates represent about 22% of embodied energy and 27% of embodied greenhouse gas emissions in the residential sector of the US economy. The results of the analysis are very sensitive to assumptions and uncertainties regarding the fate of forestland that is taken out of wood production due to reduced demand for wood, the continued production of co-products where demand for wood products is reduced, and the rate at which carbon accumulates in forests

  11. Energy consumption declined in 1993

    International Nuclear Information System (INIS)

    Anon.

    1994-01-01

    On presenting the energy consumption figures for 1993 the Minister for Economic Affairs of Baden-Wuerttemberg Dieter Spoeri (SPD) spoke of the eternal task of saving energy. In his view the slight decline in energy consumption from 1992 to 1993 should not be interpreted as a greater willingness to save energy; its main cause is rather to be seen in the course of the economy. According to estimations, total energy consumption fell 0.5% and electricity consumption 1.0% from 1992 to 1993. The economy on the other hand, still a decisive factor in energy consumption, is estimated to have declined 3% during that period. In the ten years from 1983 to 1993 total energy consumption in the Land rose an average annual 1.8% while electricity consumption kept astride with the economy with an average annual rise 2.7%, he said. (orig./HP) [de

  12. The Assessment of Climatological Impacts on Agricultural Production and Residential Energy Demand

    Science.gov (United States)

    Cooter, Ellen Jean

    The assessment of climatological impacts on selected economic activities is presented as a multi-step, inter -disciplinary problem. The assessment process which is addressed explicitly in this report focuses on (1) user identification, (2) direct impact model selection, (3) methodological development, (4) product development and (5) product communication. Two user groups of major economic importance were selected for study; agriculture and gas utilities. The broad agricultural sector is further defined as U.S.A. corn production. The general category of utilities is narrowed to Oklahoma residential gas heating demand. The CERES physiological growth model was selected as the process model for corn production. The statistical analysis for corn production suggests that (1) although this is a statistically complex model, it can yield useful impact information, (2) as a result of output distributional biases, traditional statistical techniques are not adequate analytical tools, (3) the model yield distribution as a whole is probably non-Gausian, particularly in the tails and (4) there appears to be identifiable weekly patterns of forecasted yields throughout the growing season. Agricultural quantities developed include point yield impact estimates and distributional characteristics, geographic corn weather distributions, return period estimates, decision making criteria (confidence limits) and time series of indices. These products were communicated in economic terms through the use of a Bayesian decision example and an econometric model. The NBSLD energy load model was selected to represent residential gas heating consumption. A cursory statistical analysis suggests relationships among weather variables across the Oklahoma study sites. No linear trend in "technology -free" modeled energy demand or input weather variables which would correspond to that contained in observed state -level residential energy use was detected. It is suggested that this trend is largely the

  13. Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1

    Energy Technology Data Exchange (ETDEWEB)

    Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

    1994-05-01

    This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

  14. An application of energy and exergy analysis in residential sector of Malaysia

    International Nuclear Information System (INIS)

    Saidur, R.; Masjuki, H.H.; Jamaluddin, M.Y.

    2007-01-01

    In this paper, the useful concept of energy and exergy utilization is defined, analyzed and applied to the residential sector of Malaysia by taking into account the energy and exergy flows for a period of 8 years from the year 1997 to 2004. The energy and exergy efficiencies are determined for the devices used in this sector and found to be 70% and 28%, respectively. Energy and exergy flow diagrams for the overall efficiencies of Malaysian residential sector are also illustrated in this paper. It is found that the current methodology applied in Saudi Arabia is suitable to analyze energy and exergy use in Malaysian residential sector. It has been found that the exergy efficiency of the Malaysian residential sector appears to be much lower than its corresponding energy efficiency. It has been observed that about 21% of total exergy losses are caused by refrigerator-freezer and 12% of total loss is caused by air conditioner. Washing machine, fan and rice cooker contribute about 11%, 10% and 8% of total exergy losses, respectively

  15. Switch green : Energy Star appliance feebate

    International Nuclear Information System (INIS)

    2007-01-01

    Between 1990 and 2004, greenhouse gas (GHG) emissions from the residential sector have grown by 10 per cent, and are likely to continue growing unless a policy aimed at reducing emissions is introduced. The residential sector is a significant contributor to Canada's overall GHG emissions, and an important source for potential reductions. This report presented the results of a study that described and evaluated a new economic instrument aimed at reducing greenhouse gas (GHG) emissions and energy consumption in Canada from household appliances, such as air conditioners, furnaces and boilers. Results of a quantitative analysis to determine the effect of changing taxation of residential appliances to reflect energy consumption and greenhouse gas emissions were presented. In addition, the report presented the results of a qualitative evaluation of the policy, using the criteria established in the 2005 budget plan, a framework for evaluating environmental tax proposals. The report outlined the context for the tax proposal that was evaluated and provided a summary of trends in Canada's greenhouse gas emissions and energy consumption as well as a discussion of important trends in residential energy consumption. A review of policies already in place to address energy consumption from household appliances was also presented. 11 tabs., 6 figs

  16. 78 FR 9631 - Energy Efficiency Program for Consumer Products: Energy Conservation Standards for Residential...

    Science.gov (United States)

    2013-02-11

    ... Efficiency Program for Consumer Products: Energy Conservation Standards for Residential Boilers AGENCY: Office of Energy Efficiency and Renewable Energy, Department of Energy. ACTION: Notice of public meeting.... Department of Energy, Office of Energy Efficiency and Renewable Energy, Building Technologies Program, EE-2J...

  17. A nonlinear approach to modelling the residential electricity consumption in Ethiopia

    International Nuclear Information System (INIS)

    Gabreyohannes, Emmanuel

    2010-01-01

    In this paper an attempt is made to model, analyze and forecast the residential electricity consumption in Ethiopia using the self-exciting threshold autoregressive (SETAR) model and the smooth transition regression (STR) model. For comparison purposes, the application was also extended to standard linear models. During the empirical presentation of both models, significant nonlinear effects were found and linearity was rejected. The SETAR model was found out to be relatively better than the linear autoregressive model in out-of-sample point and interval (density) forecasts. Results from our STR model showed that the residual variance of the fitted STR model was only about 65.7% of that of the linear ARX model. Thus, we can conclude that the inclusion of the nonlinear part, which basically accounts for the arrival of extreme price events, leads to improvements in the explanatory abilities of the model for electricity consumption in Ethiopia. (author)

  18. A nonlinear approach to modelling the residential electricity consumption in Ethiopia

    Energy Technology Data Exchange (ETDEWEB)

    Gabreyohannes, Emmanuel [Ethiopian Civil Service College, P.O.Box 5648, Addis Ababa (Ethiopia)

    2010-05-15

    In this paper an attempt is made to model, analyze and forecast the residential electricity consumption in Ethiopia using the self-exciting threshold autoregressive (SETAR) model and the smooth transition regression (STR) model. For comparison purposes, the application was also extended to standard linear models. During the empirical presentation of both models, significant nonlinear effects were found and linearity was rejected. The SETAR model was found out to be relatively better than the linear autoregressive model in out-of-sample point and interval (density) forecasts. Results from our STR model showed that the residual variance of the fitted STR model was only about 65.7% of that of the linear ARX model. Thus, we can conclude that the inclusion of the nonlinear part, which basically accounts for the arrival of extreme price events, leads to improvements in the explanatory abilities of the model for electricity consumption in Ethiopia. (author)

  19. Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity

    International Nuclear Information System (INIS)

    Jacobson, Arne; Milman, Anita D.; Kammen, Daniel M.

    2005-01-01

    Energy services are fundamental determinants of the quality of life as well as the economic vitality of both industrialized and developing nations. Few analytic tools exist, however, to explore changes in individual, household, and national levels of energy consumption and utilization. In order to contribute to such analyses, we extend the application of Lorenz curves to energy consumption. We examined the distribution of residential electricity consumption in five countries: Norway, USA, El Salvador, Thailand, and Kenya. These countries exhibit a dramatic range of energy profiles, with electricity consumption far more evenly distributed across the population in some industrialized nations than others, and with further significant differences in the Lorenz distribution between industrialized and industrializing economies. The metric also provides critical insights into the temporal evolution of energy management in different states and nations. We illustrate this with a preliminary longitudinal study of commercial and industrial electricity use in California during the economically volatile 1990s. Finally, we explore the limits of Lorenz analyses for understanding energy equity through a discussion of the roles that variations in energy conversion efficiency and climate play in shaping distributions of energy consumption. The Lorenz method, which is widely employed by economists to analyze income distribution, is largely unused in energy analysis, but provides a powerful new tool for estimating the distributional dimensions of energy consumption. Its widespread use can make significant contributions to scientific and policy debates about energy equity in the context of climate change mitigation, electric power industry deregulation and restructuring, and the development of national infrastructure

  20. The industrial energy consumption in 1999

    International Nuclear Information System (INIS)

    Anon.

    2001-01-01

    The Danish industrial energy consumption in 1999 is presented in tables. The tables include: the development in the energy consumption, the amount of employees in each of the main branches, fuel consumption, the fuel and energy consumption in 1999 based on each group of branches and energy category, the energy consumption in 1997 for each group of branches and the percentage distribution on energy category, and the fuel and energy consumption of motor vehicles in 1999 based on each group of branches. (SM)

  1. Wright tariffs in the Spanish electricity industry: the case of residential consumption

    International Nuclear Information System (INIS)

    Castro-Rodriguez, F.

    1999-01-01

    In this paper a capacity price model is developed for the Spanish electricity industry which allows the presentation of the Spanish utilization level tariffs as an example of duration tariffs (Wright tariffs) when duration is approximated by the ratio of consumption to power used. Using this model and data on the residential consumption of electricity, several optimal two-part tariffs are computed, considering different hypothesis on the configuration of the generating equipment. It has been found that the optimal tariff maintaining universal service increases welfare if the generating equipment and the output assignment to the different technologies are taken as given. Furthermore, if the regulator is concerned not only with efficiency, but also with distributive issues, then welfare losses associated with the existing regulatory regime are even larger

  2. Low-carbon-oriented dynamic optimization of residential energy pricing in China

    International Nuclear Information System (INIS)

    He, Yongxiu; Liu, Yangyang; Wang, Jianhui; Xia, Tian; Zhao, Yushan

    2014-01-01

    In China, the energy pricing mechanism has an insufficient linkage with other energy prices. As a result of the unreasonable price level, it is impossible to exploit fully the substitution elasticity among energy resources and there is a negative impact on achieving energy conservation and energy efficiency. This paper proposes an optimized mechanism for residential energy prices in China, which maximizes the total social surplus subject to some related constraints. Three types of energy pricing mechanisms are designed based on China's low-carbon targets and the optimization of residential energy price policies through the dynamic CGE model. Compared with the energy price linkage method, the results show that the market netback value mechanism has a greater impact on the total social surplus. In order to achieve further low-carbon targets, the proportion of second and third tier residents can be expanded, while the energy prices could be deregulated to some degree. In addition, considering residential affordability, the government may take into account different electricity pricing mechanisms for different tiers of residents. Electricity pricing for the first tier, the second tier and the third tier should be based respectively on cost, the integration of energy price linkage and the market netback value mechanism. - Highlights: • Residential energy price mechanisms can be considered in the D-CGE model. • The maximization of total social surplus is the optimized objective. • The market netback value mechanism has a greater impact on the total social surplus. • Production cost and energy price conduction should be considered in price mechanisms. • Government should take the energy system as a whole to optimize energy prices

  3. The evolution of the energy demand in France in the industrial, residential and transportation sectors; L'evolution de la demande energetique en France dans les secteurs industriel, residentiel, et des transports

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-07-01

    This document provides information, from 1970 to 2005, on the evolution of the energy intensity (ratio between the primary energy consumption and the gross domestic product in volume) and the actions of energy control for the industrial, residential and transportation sectors. (A.L.B.)

  4. Modeling Stochastic Energy and Water Consumption to Manage Residential Water Uses

    Science.gov (United States)

    Abdallah, A. M.; Rosenberg, D. E.; Water; Energy Conservation

    2011-12-01

    Water energy linkages have received growing attention from the water and energy utilities as utilities recognize that collaborative efforts can implement more effective conservation and efficiency improvement programs at lower cost with less effort. To date, limited energy-water household data has allowed only deterministic analysis for average, representative households and required coarse assumptions - like the water heater (the primary energy use in a home apart from heating and cooling) be a single end use. Here, we use recent available disaggregated hot and cold water household end-use data to estimate water and energy consumption for toilet, shower, faucet, dishwasher, laundry machine, leaks, and other household uses and savings from appliance retrofits. The disaggregated hot water and bulk water end-use data was previously collected by the USEPA for 96 single family households in Seattle WA and Oakland CA, and Tampa FL between the period from 2000 and 2003 for two weeks before and four weeks after each household was retrofitted with water efficient appliances. Using the disaggregated data, we developed a stochastic model that represents factors that influence water use for each appliance: behavioral (use frequency and duration), demographical (household size), and technological (use volume or flowrate). We also include stochastic factors that govern energy to heat hot water: hot water fraction (percentage of hot water volume to total water volume used in a certain end-use event), heater water intake and dispense temperatures, and energy source for the heater (gas, electric, etc). From the empirical household end-use data, we derive stochastic probability distributions for each water and energy factor where each distribution represents the range and likelihood of values that the factor may take. The uncertainty of the stochastic water and energy factors is propagated using Monte Carlo simulations to calculate the composite probability distribution for water

  5. Cost-competitiveness of organic photovoltaics for electricity self-consumption at residential buildings: A comparative study of Denmark and Greece under real market conditions

    DEFF Research Database (Denmark)

    Chatzisideris, Marios Dimos; Laurent, Alexis; Christoforidis, Georgios C.

    2017-01-01

    To address sustainability challenges, photovoltaics (PV) are regarded as a promising renewable energy technology. Decreasing PV module costs and increasing residential electricity prices have made self-consumption of PV-generated electricity financially more attractive than exporting to the grid....... Organic photovoltaics (OPV) are an emerging thin-film PV technology that shows promise of greatly improving the environmental and economic performances of PV technologies. Previous studies have estimated the current and future costs of OPV technologies, but the attractiveness of investing in OPV systems...

  6. Effect of energy taxes on energy consumption

    International Nuclear Information System (INIS)

    Johnsen, T.A.

    1991-01-01

    The energy consumption and taxation in Norway is described in addition to some of the consequences of this taxation on the energy market. Modelling of energy demand is dealt with. It is concluded that the influence of energy taxation on energy consumption is dependent on market conditions for individual energy products. This thesis is elaborated. (AB)

  7. The analysis of the hot water consumption and energy performance before and after renovation in multi-apartment buildings

    Science.gov (United States)

    Tumanova, K.; Borodinecs, A.; Geikins, A.

    2017-10-01

    The article presents the results of hot water supply system analysis. Taking into account that the current consumption of hot water differs from normative values, real measured data of hot water consumption in multi-apartment buildings from year 2013 until year 2015 have been analyzed. Also, the thermal energy consumption for hot water preparation has been analyzed. Based on aggregated data and taking into account the fact that renovated systems of hot water supply in existing multi-apartment buildings have same pipelines’ diameters, it was analyzed how these systems are economically and energy efficient. For the study, residential buildings in Riga, which have different architectural and engineering solutions for hot water supply systems, were selected. The study was based on thermal energy consumption measurements, which were taken at the individual heating system’s manifolds. This study was done in order to develop database on hot water consumption in civil buildings and define difference in key performance criteria in unclassified buildings. Obtained results allows to reach European Regional Development Fund project “NEARLY ZERO ENERGY SOLUTIONS FOR UNCLASSIFIED BUILDINGS” Nr. 1.1.1.116A048 main targets.

  8. An Economic Analysis of Residential Photovoltaic Systems with and without Energy Storage

    Science.gov (United States)

    Kizito, Rodney

    Residential photovoltaic (PV) systems serve as a source of electricity generation that is separate from the traditional utilities. Investor investment into residential PV systems provides several financial benefits such as federal tax credit incentives for installation, net metering credit from excess generated electricity added back to the grid, and savings in price per kilowatt-hour (kWh) from the PV system generation versus the increasing conventional utility price per kWh. As much benefit as stand-alone PV systems present, the incorporation of energy storage yields even greater benefits. Energy storage (ES) is capable of storing unused PV provided energy from daytime periods of high solar supply but low consumption. This allows the investor to use the stored energy when the cost of conventional utility power is high, while also allowing for excess stored energy to be sold back to the grid. This paper aims to investigate the overall returns for investor's investing in solely PV and ES-based PV systems by using a return of investment (ROI) economic analysis. The analysis is carried out over three scenarios: (1) residence without a PV system or ES, (2) residence with just a PV system, and (3) residence with both a PV system and ES. Due to the variation in solar exposure across the regions of the United States, this paper performs an analysis for eight of the top solar market states separately, accounting for the specific solar generation capabilities of each state. A Microsoft Excel tool is provided for computation of the ROI in scenario 2 and 3. A benefit-cost ration (BCR) is used to depict the annual economic performance of the PV system (scenario 2) and PV + ES system (scenario 3). The tool allows the user to adjust the variables and parameters to satisfy the users' specific investment situation.

  9. Rural energy survey and scenario analysis of village energy consumption: A case study in Lao People's Democratic Republic

    International Nuclear Information System (INIS)

    Mustonen, S.M.

    2010-01-01

    In developing countries, providing all citizens an access to modern forms of energy is among the central energy policy objectives, as the linkages between modern energy services and human development are widely recognized. This paper presents in a scenario analysis of rural energy consumption, how energy services in different sectors of a village economy contribute to the achievement of the UNDP Millennium Development Goals. In a rural village in Lao People's Democratic Republic, household energy demand and energy uses were surveyed immediately prior to the electrification of the village. Based on the situation preceding electrification of the village, the development of village electrification was studied by simulating the village energy system, accounting for all village energy uses but transportation. To study the potential development of electricity demand in the village, three scenarios were constructed using the LEAP model: 'residential demand', 'income generation' and 'public services'. Energy demand in each scenario was analyzed with reference to the Millennium Development Goals.

  10. Modelling of domestic refrigerators' energy consumption under real life conditions in Europe

    Energy Technology Data Exchange (ETDEWEB)

    Geppert, Jasmin

    2011-05-23

    In recent decades, energy and resource savings have become increasingly important, not only in the industrial, but also the residential sector. As one of the largest energy users in private homes, domestic refrigerators and freezers were among the first appliances to be targeted for energy efficiency improvements. With the aim of encouraging manufacturers to develop and produce more efficient appliances, the European Energy Label was introduced in the mid-nineties. However, the energy use of refrigerators does not only depend on technical components and features. Especially the using conditions in private homes are of a decisive influence. Thus, the present study has been conducted to test the sensitivity of refrigerators' energy consumption to various usage conditions within realistic ranges, which have been determined by means of two empirical studies. Key information gathered from the experiments were used as a base for the development and validation of a simplified model that allows predicting the energy consumption of refrigerators in use. The practical experiments were performed under controlled laboratory conditions with four different refrigerators with an A{sup +} or A{sup ++} energy efficiency rating (two statically cooled built-in fridge-freezers, one dynamically cooled refrigerator and one statically cooled refrigerator). The investigations revealed that the ambient temperature has the greatest impact on a refrigerator's energy consumption, followed by thermostat setting and heat load by insertion of warm items. The refrigerators' load under static conditions as well as the number of door openings have almost no impact on energy consumption. The modelling methodology follows a first-principle approach adjusted by experimental data. When compared to experimental results, model predictions show a reasonable agreement for the whole range of investigated conditions. (orig.)

  11. The industrial energy consumption in 2003

    International Nuclear Information System (INIS)

    Anon.

    2004-01-01

    The statistics present the industry's energy consumption and composition, and the development from 1973 to 2003. In this period the composition of the energy consumption has changed considerably: a decrease in the consumption of liquid fuels and an increase in the consumption of natural gas and electric power. The energy consumption in the Danish industry decreased with almost 9 % from 2001 to 2003. This relatively large decrease was mainly due to the closing down of a steel factory. In the wood industry the energy consumption decreased with 36 % from 2001 to 2003, while the energy consumption in the electronics industry increased. (ln)

  12. Energy efficiency to reduce residential electricity and natural gas use under climate change.

    Science.gov (United States)

    Reyna, Janet L; Chester, Mikhail V

    2017-05-15

    Climate change could significantly affect consumer demand for energy in buildings, as changing temperatures may alter heating and cooling loads. Warming climates could also lead to the increased adoption and use of cooling technologies in buildings. We assess residential electricity and natural gas demand in Los Angeles, California under multiple climate change projections and investigate the potential for energy efficiency to offset increased demand. We calibrate residential energy use against metered data, accounting for differences in building materials and appliances. Under temperature increases, we find that without policy intervention, residential electricity demand could increase by as much as 41-87% between 2020 and 2060. However, aggressive policies aimed at upgrading heating/cooling systems and appliances could result in electricity use increases as low as 28%, potentially avoiding the installation of new generation capacity. We therefore recommend aggressive energy efficiency, in combination with low-carbon generation sources, to offset projected increases in residential energy demand.

  13. Promoting Residential Renewable Energy via Peer-to-Peer Learning

    Science.gov (United States)

    Heiskanen, Eva; Nissilä, Heli; Tainio, Pasi

    2017-01-01

    Peer-to-peer learning is gaining increasing attention in nonformal community-based environmental education. This article evaluates a novel modification of a concept for peer-to-peer learning about residential energy solutions (Open Homes). We organized collective "Energy Walks" visiting several homes with novel energy solutions and…

  14. Clustering-based analysis for residential district heating data

    DEFF Research Database (Denmark)

    Gianniou, Panagiota; Liu, Xiufeng; Heller, Alfred

    2018-01-01

    The wide use of smart meters enables collection of a large amount of fine-granular time series, which can be used to improve the understanding of consumption behavior and used for consumption optimization. This paper presents a clustering-based knowledge discovery in databases method to analyze r....... These findings will be valuable for district heating utilities and energy planners to optimize their operations, design demand-side management strategies, and develop targeting energy-efficiency programs or policies.......The wide use of smart meters enables collection of a large amount of fine-granular time series, which can be used to improve the understanding of consumption behavior and used for consumption optimization. This paper presents a clustering-based knowledge discovery in databases method to analyze...... residential heating consumption data and evaluate information included in national building databases. The proposed method uses the K-means algorithm to segment consumption groups based on consumption intensity and representative patterns and ranks the groups according to daily consumption. This paper also...

  15. 77 FR 49063 - Energy Conservation Program: Test Procedures for Residential Dishwashers and Cooking Products

    Science.gov (United States)

    2012-08-15

    ... Energy Conservation Program: Test Procedures for Residential Dishwashers and Cooking Products; Proposed...-AC01 Energy Conservation Program: Test Procedures for Residential Dishwashers and Cooking Products... procedures for both dishwashers and conventional cooking products for the measurement of energy use in fan...

  16. 78 FR 20842 - Energy Conservation Program: Energy Conservation Standards for Residential Clothes Dryers and...

    Science.gov (United States)

    2013-04-08

    ... DeLonghi); energy and environmental advocates (American Council for an Energy Efficient Economy (ACEEE... DEPARTMENT OF ENERGY 10 CFR Part 430 [Docket Number EERE-2013-BT-STD-0020] RIN 1904-AC98 Energy Conservation Program: Energy Conservation Standards for Residential Clothes Dryers and Room Air Conditioners...

  17. Household consumption of electricity in Brazil between 1985 and 2013

    International Nuclear Information System (INIS)

    Villareal, Maria José Charfuelan; Moreira, João Manoel Losada

    2016-01-01

    This article describes the electricity consumption in Brazilian residences between 1985 and 2013 through linear regressions. The explanatory variables considered were the number of households, effective consumption of families as a proxy for family income, and electricity tariff for households. To deal with the power generation crisis of 2001 we have introduced a dummy variable in the form of a step function. With such explanatory variables, we were able to account for the reduction of household electricity consumption caused by the policies conducted in 2001 and their permanent consequences. The regression presented coefficient of determination of 0.9892, and the several statistic tests conducted assured the existence of long-term relation between the electricity consumption in residences and the explanatory variables. The obtained elasticities for the household consumption of electricity with respect to number of residences, family income and residential tariff of electricity were 1.534±0.095, 0.189±0.049, and −0.230±0.060, respectively. These results allowed understanding the evolution over time of the household consumption of electricity in Brazil. They suggest that the electric sector in Brazil should pursue an active policy to manage demand of residential electricity using tariffs as a means to control it. - Highlights: •Brazilian residential electricity sector. •Special Features and structure of the residential electricity consumption. •Representation and modeling of electrical energy consumption. •Elasticities consumption-tariff; consumption-income; consumption- households.

  18. For an ambitious policy of mastery of energy consumptions. The 2010 national energy prospects; Pour une politique ambitieuse de maitrise des consommations d'energie. Les perspectives energetiques nationale a 2010

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2003-07-01

    Thirty years ago, after the first petroleum shock, France started to implement an energy mastery policy. The evolutions established during these three decades with respect to the international context and to the public policies implemented with more or less perseverance, allow to work out a status of the results obtained. This document is shared into 5 parts. Part 1 presents the main energy and environmental data for France since 1970: energy consumption, CO{sub 2} emissions, energy intensity and carbon, energy savings; and the future prospects of CO{sub 2} emissions, of primary energy market shares, and of power production from renewable energy sources by 2010-2020, according to different scenarios. Parts 2 to 5 make the same analysis for the different sectors: industry, agriculture, residential and tertiary sector, and transportation sector, respectively, and stresses on the actions to be implemented for a better mastery of the energy consumptions in each sector. (J.S.)

  19. Energy statistics for non-residential premises in 2001

    International Nuclear Information System (INIS)

    2002-01-01

    The dominating heating system in premises is district heating, 56 per cent of the surface area is heated that way. Oil is used for heating in 9 per cent of the surface area and about the same area is heated by electricity only. The total surface area for premises is about 138 million square metres in 2001. Since the beginning of the 1980s the surface area of offices has been increasing and is now about 33 million square metres. As an average the energy use is: 15.5 litres of oil/m 2 ; 139 kWh/m 2 district heating; 148 kWh/m 2 electricity. All together the use is: 309,000 m 3 oil, 12.4 TWh district heating; 3.5 TWh electricity; 0.5 TWh natural gas/gaswork gas; 0.4 TWh o ther furnace ; 0.4 TWh biofuel or peat. This survey covers non-residential premises in Sweden. It is based on a sample of 8228 properties built before 2001 and on a total survey of properties owned by some of the major owners in the country (about 1700 properties). The survey was carried out in February 2002 as a mail survey. The property owners were asked to give information about type of premises, type of heating system, deliveries of energy for heating, etc. The presentation gives data on deliveries of energy, heated surface area, average consumption, etc., for the total population and for various subdivisions

  20. Economics of Condensing Gas Furnaces and Water Heaters Potential in Residential Single Family Homes

    OpenAIRE

    Lekov, Alex

    2010-01-01

    Residential space and water heating accounts for over 90percent of total residential primary gas consumption in the United States. Condensing space and water heating equipment are 10-30percent more energy-efficient than conventional space and water heating. Currently, condensing gas furnaces represent 40 percent of shipments and are common in the Northern U.S. market. Meanwhile, manufacturers are planning to develop condensing gas storage water heaters to qualify for Energy Star? certificati...

  1. Energy saving in the household. Vol. 2. A reasoning interview investigation on the current consumption differential in the summer time in a residential block estate. Energisparing i husstellet. Vol. 2. En intervju-undersoekelse om aarsaker til forskjeller i stroemforbruket om sommeren i et blokkomraade

    Energy Technology Data Exchange (ETDEWEB)

    Ilstad, S; Lund, I

    1983-01-01

    The present study represents a behavioral approach to residential energy (electricity) conservation. It is especially concerned with socio-psychological variabales like habits, attitudes, social control and mass communication. In addition to that, the effects of family structural variables (size, age, occupation, absence from home), some physical environmental variables and household equipment and appliances are investigated. (Some data on the use of private cars are also included). The sample consists of 113 appartments of identical size (94 m/sup 2/), heated by electricity. The data collection procedure included reading the electric meters in May and September 1982 and systematic interviews with each family after the second reading. The general purpose of the data analysis was to explain the variance in electricity consumption. The most important determinants for differences between families in electricity consumption during the investigated summer period were found to be: family size, number of weeks away from home, use of heating equipment, and attitudes toward energy conservation at home. A number of other factors also contributed substantially to the differences, e.g. age, the use of hot water, size and placement of home freezer, frequency of using washing mashine and dish washer, the use of light, perceived consequences of energy conservation, family cooperation etc. Practical implications for disseminating information on energy conservation in the residential sector through mass media campaigns are discussed.

  2. Energy Efficiency and Sustainability Evaluation of Space and Water Heating in Urban Residential Buildings of the Hot Summer and Cold Winter Zone in China

    OpenAIRE

    Xiao Chen; Yongquan Wen; Nanyang Li

    2016-01-01

    With the urbanization process of the hot summer and cold winter (HSCW) zone in China, the energy consumption of space and water heating in urban residential buildings of the HSCW zone has increased rapidly. This study presents the energy efficiency and sustainability evaluation of various ways of space and water heating taking 10 typical cities in the HSCW zone as research cases. Two indicators, primary energy efficiency (PEE) and sustainability index based on exergy efficiency, are adopted t...

  3. Assessment of technical and economical viability for large-scale conversion of single family residential buildings into zero energy buildings in Brazil: Climatic and cultural considerations

    International Nuclear Information System (INIS)

    Pacheco, Miguel; Lamberts, Roberto

    2013-01-01

    This paper addresses the viability of converting single-family residential buildings in Brazil into zero energy buildings (ZEBs). The European Union and the United States aim ZEBs implementation to address ‘peak oil’ and environmental concerns. However, literature shows no agreement on a consensual definition of ZEB. Seeking a Brazilian ZEB definition, this paper addresses PassivHaus and thermal comfort standards for hot climates, source metrics for ZEB, Brazil′s energy mix, residential energy end uses and Brazilian legal framework for residential photovoltaic (PV) generation. Internal Rate of Return for PV systems in two Brazilian cities is calculated under various scenarios. It shows grid parity was reached from April 2012 to November 2012 assuming residential electric tariffs of that period and the financial conditions given by the Brazilian government for the construction of new dams in the Amazon and the lowest rates offered by Brazilian banks to private individuals. Governmental decision to lower electric residential tariffs in November 2012 reduced the scope of grid parity. Later revocation of a tax exemption in April 2013 ended grid parity in Brazil. It concludes, conversely to developed countries, it is the volatile Brazilian energy policy, instead of economical barriers, the main obstacle for ZEB viability in Brazil. - Highlights: • Critique on super insolated buildings as a good solution for hot climates. • PV parity already reached in some parts of Brazil. • Proposal for a zero energy building definition for Brazil. • Critique of the source metric for energy balance in zero energy buildings. • Average roof area in Brazil enough for PV array to meet average energy consumption

  4. Does trade liberalization effect energy consumption?

    International Nuclear Information System (INIS)

    Ghani, Gairuzazmi M.

    2012-01-01

    The effect of trade liberalization on the environment can be directly linked to energy consumption, because energy consumption and production are the underlying cause of most pollutants that harm the environment. The descriptive statistics show that average annual growth of energy consumption per capita after trade liberalization varies among countries; hence it is a possibility that the effect of trade liberalization is conditional on factors other than liberalization per se. The regression results show that trade liberalization per se does not affect the growth of energy consumption of the developing countries analyzed, but its interaction with capital per labor reduces the growth of energy consumption as capital per labor increases. However, the effect is only significant after a certain minimum threshold level capital per labor is reached. On the other hand, economic growth increases energy consumption and its effect is not conditioned on trade liberalization. These two different effects mean that, with regards to energy consumption, countries at a higher level of economic development are more likely to reap the benefit of liberalization relative to less developed countries. - Research highlights: ► This paper examines the effect of trade liberalization on energy consumption. ► Developed countries are more likely to reap the benefit of trade liberalization. ► Growth of energy consumption after trade liberalization varies among countries. ► Interaction of capital per labor with liberalization reduces energy consumption.

  5. Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications

    International Nuclear Information System (INIS)

    Freitas, Luciano Charlita de; Kaneko, Shinji

    2011-01-01

    This study evaluates the changes in CO 2 emissions from energy consumption in Brazil for the period 1970-2009. Emissions are decomposed into production and consumption activities allowing computing the full set of energy sources consumed in the country. This study aims to develop a comprehensive and updated picture of the underlying determinants of emissions change from energy consumption in Brazil along the last four decades, including for the first time the recently released data for 2009. Results demonstrate that economic activity and demographic pressure are the leading forces explaining emission increase. On the other hand, carbon intensity reductions and diversification of energy mix towards cleaner sources are the main factors contributing to emission mitigation, which are also the driving factors responsible for the observed decoupling between CO 2 emissions and economic growth after 2004. The cyclical patterns of energy intensity and economy structure are associated to both increments and mitigation on total emission change depending on the interval. The evidences demonstrate that Brazilian efforts to reduce emissions are concentrated on energy mix diversification and carbon intensity control while technology intensive alternatives like energy intensity has not demonstrated relevant progress. Residential sector displays a marginal weight in the total emission change. - Research highlights: → Article provides an updated evaluation on the changes in CO 2 emissions from energy consumption in Brazil, including the recently released data for 2009. → Results demonstrate that progress in energy mix diversification and associated factors are the most important factors contributing to emission mitigation in Brazil. → Negligence in technology intensive factors, as energy intensity, has offset most efforts on emission mitigation related to energy consumption. → Paper announces a first episode of absolute decoupling between GDP growth and CO 2 emission

  6. Electricity demand for South Korean residential sector

    International Nuclear Information System (INIS)

    Sa'ad, Suleiman

    2009-01-01

    This study estimates the electricity demand function for the residential sector of South Korea with the aim of examining the effects of improved energy efficiency, structural factors and household lifestyles on electricity consumption. In the study, time series data for the period from 1973 to 2007 is used in a structural time series model to estimate the long-term price and income elasticities and annual growth of underlying energy demand trend (UEDT) at the end of the estimation period. The result shows a long-term income elasticity of 1.33 and a long-term price elasticity of -0.27% with -0.93% as the percentage growth of UEDT at the end of the estimation period. This result suggests that, in order to encourage energy efficiency in the residential sector, the government should complement the market based pricing policies with non-market policies such as minimum energy efficiency standards and public enlightenment.

  7. The industrial energy consumption in 2001

    International Nuclear Information System (INIS)

    Anon.

    2002-01-01

    The Danish industrial energy consumption in 2001 is presented in tables. The tables include: the development in the energy consumption, the amount of employees in each of the main branches, fuel consumption, the fuel and energy consumption in 2001 based on each group of branches and energy category, and the emission of CO 2 . (LN)

  8. Potential Evaluation of Energy Supply System in Grid Power System, Commercial, and Residential Sectors by Minimizing Energy Cost

    Science.gov (United States)

    Oda, Takuya; Akisawa, Atushi; Kashiwagi, Takao

    If the economic activity in the commercial and residential sector continues to grow, improvement in energy conversion efficiencies of energy supply systems is necessary for CO2 mitigation. In recent years, the electricity driven hot water heat pump (EDHP) and the solar photo voltaic (PV) are commercialized. The fuel cell (FC) of co-generation system (CGS) for the commercial and residential sector will be commercialized in the future. The aim is to indicate the ideal energy supply system of the users sector, which both manages the economical cost and CO2 mitigation, considering the grid power system. In the paper, cooperative Japanese energy supply systems are modeled by linear-programming. It includes the grid power system and energy systems of five commercial sectors and a residential sector. The demands of sectors are given by the objective term for 2005 to 2025. 24 hours load for each 3 annual seasons are considered. The energy systems are simulated to be minimize the total cost of energy supply, and to be mitigate the CO2 discharge. As result, the ideal energy system at 2025 is shown. The CGS capacity grows to 30% (62GW) of total power system, and the EDHP capacity is 26GW, in commercial and residential sectors.

  9. Assessment of energy savings and of side effects associated with consumption cutoffs. Complete report + abridged version

    International Nuclear Information System (INIS)

    2016-03-01

    As France has been the first European country to implement a legal and regulatory framework which acknowledges the role of cut-off operators, and promotes their direct participation to markets, this report aims at preparing an evolution of this framework, notably by focusing on the notion of energy saving. It highlights the importance of definitions regarding levels of consumption deferment and of energy saving associated with consumption cutoffs. The report first analyses the context: assessment of energy savings associated with consumption cutoffs, discussion of the existence or absence of a typical profile of consumption deferment, and definition of a consumption deferment rate, importance of these works for cut-off integration into the electric power system. It proposes a presentation of the present status of knowledge on energy savings and side effects, defines the energy saving rate, and discusses the sensitivity of this rate to calculation parameters. The next part presents the method adopted to analyse results obtained during experiments. The obtained results are then discussed by distinguishing those obtained in the industrial sector, in the tertiary sector, and in the residential sector. Economic studies are then reported regarding the impact of a wrong choice for the deferment rate on market mechanism rules, and the impact of an explicit taking of the deferment into account. Appendices contain detailed presentations of some specific aspects of these assessments and studies. An abridged version of the report is then provided

  10. Towards Cost and Comfort Based Hybrid Optimization for Residential Load Scheduling in a Smart Grid

    Directory of Open Access Journals (Sweden)

    Nadeem Javaid

    2017-10-01

    Full Text Available In a smart grid, several optimization techniques have been developed to schedule load in the residential area. Most of these techniques aim at minimizing the energy consumption cost and the comfort of electricity consumer. Conversely, maintaining a balance between two conflicting objectives: energy consumption cost and user comfort is still a challenging task. Therefore, in this paper, we aim to minimize the electricity cost and user discomfort while taking into account the peak energy consumption. In this regard, we implement and analyse the performance of a traditional dynamic programming (DP technique and two heuristic optimization techniques: genetic algorithm (GA and binary particle swarm optimization (BPSO for residential load management. Based on these techniques, we propose a hybrid scheme named GAPSO for residential load scheduling, so as to optimize the desired objective function. In order to alleviate the complexity of the problem, the multi dimensional knapsack is used to ensure that the load of electricity consumer will not escalate during peak hours. The proposed model is evaluated based on two pricing schemes: day-ahead and critical peak pricing for single and multiple days. Furthermore, feasible regions are calculated and analysed to develop a relationship between power consumption, electricity cost, and user discomfort. The simulation results are compared with GA, BPSO and DP, and validate that the proposed hybrid scheme reflects substantial savings in electricity bills with minimum user discomfort. Moreover, results also show a phenomenal reduction in peak power consumption.

  11. Assessing the benefits of residential demand response in a real time distribution energy market

    International Nuclear Information System (INIS)

    Siano, Pierluigi; Sarno, Debora

    2016-01-01

    Highlights: • A new probabilistic methodology, integrating DR in a distribution energy market is proposed. • The method can alleviate distribution network congestions. • This method based on D-LMPs allows cost savings for end-user customers. • Innovative thermal and shiftable loads Real Time control algorithms are also presented. - Abstract: In the field of electricity distribution networks and with the advent of smart grids and microgrids, the use of Distribution Locational Marginal Price (D-LMPs) in a Real Time (RT) distribution market managed by a Distribution System Operator (DSO) is discussed in presence of empowered residential end-users that are able to bid for energy by a demand aggregator while following Demand Response (DR) initiatives. Each customer is provided by a transactive controller, which reads the locational market signals and answers with a bid taking into account the user preferences about some appliances involved in DR activities and controlled by smart plugs-in. In particular, Heating Ventilation and Air Conditioning (HVAC) appliances and shiftable loads are controlled so that their consumption profile can be modified according to the price of energy. In order to assess the effectiveness of the proposed method in terms of energy and cost saving, an innovative probabilistic methodology for evaluating the impact of residential DR choices considering uncertainties related to load demand, user preferences, environmental conditions, house thermal behavior and wholesale market trends has been proposed. The uncertainties related to the stochastic variations of the variables involved are modeled by using the Monte Carlo Simulation (MCS) method. The combination of MCS and RT distribution market simulation based on D-LMPs are used to assess the operation and impact of the DR method over one month. Simulations results on an 84-buses distribution network confirmed that the proposed method allows saving costs for residential end-users and making

  12. Energy consumption: Past, present, future

    Science.gov (United States)

    1973-01-01

    The energy consumption history of the United States and the changes which could occur in consumption characteristics in the next 50 years are presented. The various sources of energy are analyzed to show the limitations involved in development and utilization as a function of time available. Several scenarios were prepared to show the consumption and supply of energy under varying conditions.

  13. Energy aspects of city districts and rural townships; Energieaspekte staedtischer und laendlicher Siedlungen. Schlussbericht

    Energy Technology Data Exchange (ETDEWEB)

    Ott, W.; Arend, M.; Philippen, D. [Econcept AG, Zuerich (Switzerland); Gilgen, K.; Beaujean, K. [Hochschule fuer Technik Rapperswil, Institut fuer Raumentwicklung, Rapperswil (Switzerland); Schneider, S. [Planungsbuero Jud AG, Zuerich (Switzerland)

    2008-01-15

    This illustrated final report for the Swiss Federal Office of Energy (SFOE) presents the results of a project concerning the energy consumption of various residential districts in cities and in rural townships. The analysis examines the consumption of primary energy by residential buildings, their supply and disposal infrastructures and that of traffic induced by settlements. Also, grey energy: consumption for the construction, renovation and demolition of buildings and infrastructures as well as the consumption of primary energy for the production and disposal of individual motor vehicle traffic and public transport is reviewed. Four Swiss case studies are dealt with including largely homogenous residential districts in Effretikon, Oetwil am See, Uster and the City of Zurich. The results of the analyses made are presented in graphical form. The authors quote the great potential for the reduction of the consumption of settlement-dependent primary energy that lies in the fields of energy-efficiency of buildings, mobility and power consumption. The report is rounded off with a comprehensive appendix.

  14. A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand

    Science.gov (United States)

    Buys, Laurie; Vine, Desley; Ledwich, Gerard; Bell, John; Mengersen, Kerrie; Morris, Peter; Lewis, Jim

    2015-01-01

    Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times. PMID:25807384

  15. Residential energy use: an international perspective on long-term trends in Denmark, Norway and Sweden

    International Nuclear Information System (INIS)

    Unander, Fridtjof; Ettestoel, Ingunn; Ting, Mike; Schipper, Lee

    2004-01-01

    This paper examines residential energy use in the Scandinavian countries: Denmark, Norway and Sweden, over the period 1973-1999. The paper uses a decomposition approach to investigate differences in residential energy demand structure and end-use intensities and discusses both differences in absolute levels of energy use and differences over time. Comparisons are also made to other countries that have been analysed in the IEA energy efficiency indicator project. The analysis shows that, in contrast to Denmark and Sweden, Norway saw a growth in total residential energy use between 1973 and 1999. This can be partially explained by the fact that Norway started from a lower per capita income level in the early 1970s but has since then enjoyed a rapid income growth that drove up house area and consequently put a pressure on energy use. But the analysis also shows that Denmark and Sweden achieved significant reductions of residential energy intensities between 1973 and 1990, while the reductions in Norway were negligible. After 1990, the picture changed; there was a strong decline in residential energy intensities in Norway and a high rate of energy savings compared to most other countries analysed by the IEA, while energy savings in Denmark and Sweden more or less came to a halt

  16. Pilot Residential Deep Energy Retrofits and the PNNL Lab Homes

    Energy Technology Data Exchange (ETDEWEB)

    Widder, Sarah H.; Chandra, Subrato; Parker, Graham B.; Sande, Susan; Blanchard, Jeremy; Stroer, Dennis; McIlvaine, Janet; Chasar, David; Beal, David; Sutherland, Karen

    2012-01-01

    This report summarizes research investigating the technical and economic feasibility of several pilot deep energy retrofits, or retrofits that save 30% to 50% or more on a whole-house basis while increasing comfort, durability, combustion safety, and indoor air quality. The work is being conducted for the U.S. Department of Energy Building Technologies Program as part of the Building America Program. As part of the overall program, Pacific Northwest National Laboratory (PNNL) researchers are collecting and analyzing a comprehensive dataset that describes pre- and post-retrofit energy consumption, retrofit measure cost, health and comfort impacts, and other pertinent information for each home participating in the study. The research and data collection protocol includes recruitment of candidate residences, a thorough test-in audit, home energy modeling, and generation of retrofit measure recommendations, implementation of the measures, test-out, and continued evaluation. On some homes, more detailed data will be collected to disaggregate energy-consumption information. This multi-year effort began in October 2010. To date, the PNNL team has performed test-in audits on 51 homes in the marine, cold, and hot-humid climate zones, and completed 3 retrofits in Texas, 10 in Florida, and 2 in the Pacific Northwest. Two of the retrofits are anticipated to save 50% or more in energy bills and the others - savings are in the 30% to 40% range. Fourteen other retrofits are under way in the three climate zones. Metering equipment has been installed in seven of these retrofits - three in Texas, three in Florida, and one in the Pacific Northwest. This report is an interim update, providing information on the research protocol and status of the PNNL deep energy retrofit project as of December, 2011. The report also presents key findings and lessons learned, based on the body of work to date. In addition, the report summarizes the status of the PNNL Lab Homes that are new

  17. Life cycle primary energy analysis of residential buildings

    Energy Technology Data Exchange (ETDEWEB)

    Gustavsson, Leif; Joelsson, Anna [Ecotechnology, Department of Engineering and Sustainable Development, Mid Sweden University, SE-831 25 Oestersund (Sweden)

    2010-02-15

    The space heating demand of residential buildings can be decreased by improved insulation, reduced air leakage and by heat recovery from ventilation air. However, these measures result in an increased use of materials. As the energy for building operation decreases, the relative importance of the energy used in the production phase increases and influences optimization aimed at minimizing the life cycle energy use. The life cycle primary energy use of buildings also depends on the energy supply systems. In this work we analyse primary energy use and CO{sub 2} emission for the production and operation of conventional and low-energy residential buildings. Different types of energy supply systems are included in the analysis. We show that for a conventional and a low-energy building the primary energy use for production can be up to 45% and 60%, respectively, of the total, depending on the energy supply system, and with larger variations for conventional buildings. The primary energy used and the CO{sub 2} emission resulting from production are lower for wood-framed constructions than for concrete-framed constructions. The primary energy use and the CO{sub 2} emission depend strongly on the energy supply, for both conventional and low-energy buildings. For example, a single-family house from the 1970s heated with biomass-based district heating with cogeneration has 70% lower operational primary energy use than if heated with fuel-based electricity. The specific primary energy use with district heating was 40% lower than that of an electrically heated passive row house. (author)

  18. Window opening behaviour: simulations of occupant behaviour in residential buildings using models based on a field survey

    DEFF Research Database (Denmark)

    Valentina, Fabi; Andersen, Rune Korsholm; Corgnati, Stefano Paolo

    2012-01-01

    Window opening behaviour has been shown to have a significant impact on airflow rates and hence energy consumption. Nevertheless, the inhabitant behaviour related to window opening in residential buildings is currently poorly investigated through both field surveys and building energy simulations....... In particular, reliable information regarding user behaviour in residential buildings is crucial for suitable prediction of building performance (energy consumption, indoor environmental quality, etc.). To face this issue, measurements of indoor climate and outdoor environmental parameters and window “opening...... and closing” actions were performed in 15 dwellings from January to August 2008 in Denmark. Probabilistic models of inhabitants’ window “opening and closing” behaviour were developed and implemented in the energy simulation software IDA ICE to improve window opening and closing strategies in simulations...

  19. Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors

    Energy Technology Data Exchange (ETDEWEB)

    Sathaye, Jayant; de la Rue du Can, Stephane; Iyer, Maithili; McNeil, Michael; Kramer, Klaas Jan; Roy, Joyashree; Roy, Moumita; Chowdhury, Shreya Roy

    2011-04-15

    This report analyzed the potential for increasing energy efficiency and reducing greenhouse gas emissions (GHGs) in the non-residential building and the industrial sectors in India. The first two sections describe the research and analysis supporting the establishment of baseline energy consumption using a bottom up approach for the non residential sector and for the industry sector respectively. The third section covers the explanation of a modeling framework where GHG emissions are projected according to a baseline scenario and alternative scenarios that account for the implementation of cleaner technology.

  20. Does energy labelling on residential housing cause energy savings?

    Energy Technology Data Exchange (ETDEWEB)

    Kjaerbye, V.H.

    2009-07-01

    Danish households use more than 30% of the total amount of energy being used in Denmark. More than 80% of this energy is dedicated to space heating. The same relation is seen in many OECD countries. The corresponding energy savings potential was recently estimated at 30% of the energy used in buildings. Energy labelling is seen as an important instrument to target these potential energy savings. This paper evaluates the effects of the Danish Energy Labelling Scheme on energy consumption in existing single-family houses with propensity score matching using real metered natural gas consumption and a very wide range of register data describing the houses and households. The study did not find significant energy savings due to the Danish Energy Labelling Scheme, but more research would be needed to complement this conclusion

  1. Energy consumption modeling of air source electric heat pump water heaters

    International Nuclear Information System (INIS)

    Bourke, Grant; Bansal, Pradeep

    2010-01-01

    Electric heat pump air source water heaters may provide an opportunity for significant improvements in residential water heater energy efficiency in countries with temperate climates. As the performance of these appliances can vary widely, it is important for consumers to be able to accurately assess product performance in their application to maximise energy savings and ensure uptake of this technology. For a given ambient temperature and humidity, the performance of an air source heat pump water heater is strongly correlated to the water temperature in or surrounding the condenser. It is therefore important that energy consumption models for these products duplicate the real-world water temperatures applied to the heat pump condenser. This paper examines a recently published joint Australian and New Zealand Standard, AS/NZS 4234: 2008; Heated water systems - Calculation of energy consumption. Using this standard a series TRNSYS models were run for several split type air source electric heat pump water heaters. An equivalent set of models was then run utilizing an alternative water use pattern. Unfavorable errors of up to 12% were shown to occur in modeling of heat pump water heater performance using the current standard compared to the alternative regime. The difference in performance of a model using varying water use regimes can be greater than the performance difference between models of product.

  2. Energy consumption 2005 with Danish industry

    International Nuclear Information System (INIS)

    Anon.

    2006-01-01

    The energy consumption in the Danish industries decreased with 4% from 2003 to 2005. The consumption of liquid fuels and district heat decreased with 27% and 21%, respectively. The consumption of solid fuels increased with 13%. The aim of the statistics is to elucidate the industry's energy consumption and its composition. The statistics present the development in the industry from 1973 to 2005, in which period the composition of the energy consumption has changed significantly. Especially, consumption of liquid fuels has decreased and consumption of gas and electricity has increased. (ln)

  3. The residential tertiary sector - Technical Guidebook nr. 2

    International Nuclear Information System (INIS)

    Bardinal, Marc; Bejanin Emmanuel; Berly Frederic; Blaser Jocelyne; Mesmain Jean-Eric; Yalamas Pierrick; Ouradou Frederic; Riey Benedicte; Chene-Pezot, Anne

    2011-06-01

    After having recalled objectives defined within the Building Plan of the Grenelle de l'Environnement, this guide aims at providing local communities with a relatively precise view of the energy consumption of buildings (residential and office buildings) on their territory in order to define actions to be undertaken, with keys to integrate these actions into a regional energy planning, and with tools for the follow-up of equipment, techniques, and tax or regulatory arrangements aimed at a better energy efficiency in order to be able to assess the impact of undertaken actions and to steer their implementation. Thus, the different parts of this guide describe how to perform an energy assessment in the residential-tertiary sector (indication of reference data, assessment of additional data), how to plan a regional energy renovation (definition of objectives, identification of associated needs, assessment of externalities), and how to perform a follow-up of energy efficiency (existing monitoring organisations and bodies, networking of actors and sharing of good practices, information sites)

  4. 1999 world energy consumption (ENERDATA)

    International Nuclear Information System (INIS)

    Martin, J.M.

    2000-01-01

    Here is given a compilation of detailed statistical tables on various aspects of world energy production and consumption over the years 1994 to 1999. The present tables indicate the production, trade and consumption of crude oil, liquefied natural gas, oil products, natural gas, coal, lignite, electric power; the energy balance for the year 1999; the total energy consumption in European Union, Western Europe, North America, Japan and Pacific, CIS and Central Europe, Latin America, Asia, Middle East and Africa for the years 1994 to 1999. The CO 2 emissions for these countries are also given. These data are an extraction of the energy statistics yearbook, ENERDATA, June 2000. They are commented by Mr J.M. Martin. According to ENERDATA, the 1999 world energy consumption stagnates. (O.M.)

  5. Energy Consumption vs. Energy Requirement

    Science.gov (United States)

    Fan, L. T.; Zhang, Tengyan; Schlup, John R.

    2006-01-01

    Energy is necessary for any phenomenon to occur or any process to proceed. Nevertheless, energy is never consumed; instead, it is conserved. What is consumed is available energy, or exergy, accompanied by an increase in entropy. Obviously, the terminology, "energy consumption" is indeed a misnomer although it is ubiquitous in the…

  6. The relationship among energy prices and energy consumption in China

    International Nuclear Information System (INIS)

    Yuan, Chaoqing; Liu, Sifeng; Wu, Junlong

    2010-01-01

    The pricing mechanism for energy is not in line with the international standards, because the energy prices are controlled by the government partly or completely in China. Chinese government made a lot of efforts to improve the pricing mechanism for energy. The relations between Chinese energy prices and energy consumption are the foundations to reform the mechanism. In this paper, the relations between Chinese energy consumption and energy prices are researched by cointegration equations, impulse response functions, granger causality and variance decomposition. The cointegration relations among energy prices, energy consumption and economic outputs show that higher energy price will decrease energy consumption in Chinese industrial sectors but will not reduce the economic output in the long run. The cointegration relation between energy price and household energy consumption shows that higher energy price will decrease household energy consumption in the long run and increase it in the short run. So Chinese government should deepen the reform of pricing mechanism for energy, and increase the energy prices reasonably to save energy. (author)

  7. An innovative educational program for residential energy efficiency. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Laquatra, J.; Chi, P.S.K.

    1996-09-01

    Recognizing the importance of energy conservation, under sponsorship of the US Department of Energy, Cornell University conducted a research and demonstration project entitled An Innovative Educational Program for Residential Energy Efficiency. The research project examined the amount of residential energy that can be saved through changes in behavior and practices of household members. To encourage these changes, a workshop was offered to randomly-selected households in New York State. Two surveys were administered to household participants (Survey 1 and Survey 2, Appendix A) and a control group; and a manual was developed to convey many easy but effective ways to make a house more energy efficient (see Residential Manual, Appendix B). Implementing methods of energy efficiency will help reduce this country`s dependence on foreign energy sources and will also reduce the amount of money that is lost on inefficient energy use. Because Cornell Cooperative Extension operates as a component of the land-grant university system throughout the US, the results of this research project have been used to develop a program that can be implemented by the Cooperative Extension Service nationwide. The specific goals and objectives for this project will be outlined, the population and sample for the research will be described, and the instruments utilized for the survey will be explained. A description of the workshop and manual will also be discussed. This report will end with a summary of the results from this project and any observed changes and/or recommendations for future surveys pertaining to energy efficiency.

  8. 75 FR 52892 - Energy Conservation Program for Consumer Products: Test Procedures for Residential Water Heaters...

    Science.gov (United States)

    2010-08-30

    ... ``Energy Conservation Program for Consumer Products Other Than Automobiles,'' including residential water... final rule revising energy conservation standards for residential water heaters, direct heating.... EERE-2009-BT-TP-0013] RIN 1904-AB95 Energy Conservation Program for Consumer Products: Test Procedures...

  9. Structural, geographic, and social factors in urban building energy use: Analysis of aggregated account-level consumption data in a megacity

    International Nuclear Information System (INIS)

    Porse, Erik; Derenski, Joshua; Gustafson, Hannah; Elizabeth, Zoe; Pincetl, Stephanie

    2016-01-01

    Residential and commercial buildings comprise approximately forty percent of total energy consumption and carbon dioxide emissions in the U.S. Yet, while California spends $1.5 billion annually on energy efficiency programs, limited research has explored how building energy consumption varies within cities, including the social and structural factors that influence electricity and natural gas use. We present results from an analysis of aggregated account-level utility billing data for energy consumption across the over two million properties in Los Angeles County. Results show that consumption in L.A. County varies widely with geography, income, building characteristics, and climate. Several higher-income areas have greater total energy use per building even in cooler climates, while many lower-income regions rank higher for energy use per square-foot. Energy consumption also correlates with building age, which varies widely throughout the region. Our results demonstrate the many complex and interrelated factors that influence urban energy use. While billing data is critical for devising energy efficiency programs that actually realize estimated savings and promote more sustainable cities, opening access to such data presents significant challenges for protecting personal privacy. The presented approach is adaptable and scalable to cities seeking to develop data-driven policies to reduce building energy use. - Highlights: •Building energy use varies widely across metropolitan Los Angeles. •Building age, household income, home ownership rates, and land use are all correlated with energy consumption. •High-income areas use more energy per building, while lower-income areas use more energy per square-foot. •Account-level energy use data can help local governments devise conservation strategies. •Energy efficiency programs need evaluated using energy consumption data.

  10. Cowichan Valley energy mapping and modelling. Report 5 - Energy density mapping projections. Final report. [Vancouver Island, Canada

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-06-15

    The driving force behind the Integrated Energy Mapping and Analysis project was the identification and analysis of a suite of pathways that the Cowichan Valley Regional District (CVRD) can utilise to increase its energy resilience, as well as reduce energy consumption and GHG emissions, with a primary focus on the residential sector. Mapping and analysis undertaken will support provincial energy and GHG reduction targets, and the suite of pathways outlined will address a CVRD internal target that calls for 75% of the region's energy within the residential sector to come from locally sourced renewables by 2050. The target has been developed as a mechanism to meet resilience and climate action target. The maps and findings produced are to be integrated as part of a regional policy framework currently under development. Task 5 focused on energy projection mapping to estimate and visualise the energy consumption density and GHG emissions under different scenarios. The scenarios from task 4 were built around the energy consumption density of the residential sector under future land use patterns and rely on different energy source combinations (the suite of pathways). In task 5 the energy usage under the different scenarios were fed back into GIS, thereby giving a visual representation of forecasted residential energy consumption per unit area. The methodology is identical to that used in task 2 where current usage was mapped, whereas the mapping in this task is for future forecasts. These results are documented in this report. In addition, GHG mapping under the various scenarios was also undertaken. (LN)

  11. Electricity demand for South Korean residential sector

    Energy Technology Data Exchange (ETDEWEB)

    Sa' ad, Suleiman [Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey, Guildford, Surrey GU2 7XH (United Kingdom)

    2009-12-15

    This study estimates the electricity demand function for the residential sector of South Korea with the aim of examining the effects of improved energy efficiency, structural factors and household lifestyles on electricity consumption. In the study, time series data for the period from 1973 to 2007 is used in a structural time series model to estimate the long-term price and income elasticities and annual growth of underlying energy demand trend (UEDT) at the end of the estimation period. The result shows a long-term income elasticity of 1.33 and a long-term price elasticity of -0.27% with -0.93% as the percentage growth of UEDT at the end of the estimation period. This result suggests that, in order to encourage energy efficiency in the residential sector, the government should complement the market based pricing policies with non-market policies such as minimum energy efficiency standards and public enlightenment. (author)

  12. Feasibility study on combined use of residential SOFC cogeneration system and plug-in hybrid electric vehicle from energy-saving viewpoint

    International Nuclear Information System (INIS)

    Wakui, Tetsuya; Wada, Naohiro; Yokoyama, Ryohei

    2012-01-01

    Highlights: ► Optimal operational planning for combined use of SOFC-CGS and PHEV is conducted. ► Charging PHEV with SOFC-CGS increases electric capacity factor of SOFC-CGS. ► Energy-saving effect of combined use is higher than that of their separate use. ► Combined use provides energy savings in both residential and transport sectors. - Abstract: The energy-saving effect of a combined use of a residential solid oxide fuel cell cogeneration system (SOFC-CGS) that adopts a continuous operation, and a plug-in hybrid electric vehicle (PHEV) is discussed by optimal operational planning based on mixed-integer linear programming. This combined use aims to increase the electric capacity factor of the SOFC-CGS by charging the PHEV using the SOFC-CGS electric power output late at night, and targets the application in regions where the reverse power flow from residential cogeneration systems to commercial electric power systems is not permitted, like in Japan. The optimal operation patterns of the combined use of 0.7-kWe SOFC-CGS and PHEV for a simulated energy demand with a sampling time of 1 h and various daily running distances of the PHEV show that this combined use increases the electric capacity factor of the SOFC-CGS and saves more energy in comparison with their separate use in which the SOFC-CGS is used but the PHEV is charged only with purchased electric power. Furthermore, it is found that at the PHEV daily running distance of 12 km/d, the reduction rate of the annual primary energy consumption for this combined use increases by up to 3.7 percentage points relative to their separate use. Consequently, this feasibility study reveals that the combined use of the SOFC-CGS and PHEV provides the synergistic effect on energy savings in the residential and transport sectors. For the practical use, simulation scenarios considering the energy demand fluctuations with short periods and real-time pricing of the purchased electric power must be considered as future

  13. State energy price projections for the residential sector, 1992--1993

    International Nuclear Information System (INIS)

    1992-01-01

    The purpose of this report, State Energy Price Projections for the Residential Sector, 1992--1993, is to provide projections of State-level residential prices for 1992 and 1993 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1991 are also included for comparison purposes. This report also explains the methodology used to produce these estimates and the limitations

  14. The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review

    Directory of Open Access Journals (Sweden)

    Elisha R. Frederiks

    2015-01-01

    Full Text Available This article provides a comprehensive review of theory and research on the individual-level predictors of household energy usage. Drawing on literature from across the social sciences, we examine two broad categories of variables that have been identified as potentially important for explaining variability in energy consumption and conservation: socio-demographic factors (e.g., income, employment status, dwelling type/size, home ownership, household size, stage of family life cycle and psychological factors (e.g., beliefs and attitudes, motives and intentions, perceived behavioral control, cost-benefit appraisals, personal and social norms. Despite an expanding literature, we find that empirical evidence of the impact of these variables has been far from consistent and conclusive to date. Such inconsistency poses challenges for drawing generalizable conclusions, and underscores the complexity of consumer behavior in this domain. In this article, we propose that a multitude of factors—whether directly, indirectly, or in interaction—influence how householders consume and conserve energy. Theory, research and practice can be greatly advanced by understanding what these factors are, and how, when, where, why and for whom they operate. We conclude by outlining some important practical implications for policymakers and directions for future research.

  15. The energy balance of Quebec in 1991: Energy consumption decreases for a second consecutive year and the part provided by electricity increases

    International Nuclear Information System (INIS)

    Anon.

    1992-01-01

    An estimate is presented of the energy balance of Quebec for 1991 (unconventional energy sources excluded), and the definitive energy balance for 1990. The estimates for 1991 are based on sales data for the whole year for electric power, petroleum products, and natural gas, and on the first 9 months of data for coal and coke. In 1990, the energy consumption of Quebec reached 32.2 M TEP (tonnes of equivalent petroleum), or a decrease of 1.8% with respect to 1989. In 1991, it reached 31.1 M TEP, or a decrease of 3.5% with respect to 1990. The electric power consumption in 1991 was 149.1 TWh, an increase of 1.0% with respect to 1990, attributed in part to the economic effects of the recession. The consumption of petroleum products for energy uses attained 93.5 M bbl in 1991, or a drop of 7.3% with respect to 1990. This drop is also attributed to economic reasons. Natural gas sales in 1991 totalled 193.2 billion ft 3 , or a decrease of 2.3% from 1990. In the residential sector, natural gas sales fell 8%, while sales in the industrial and commercial sectors fell 1.6% and 1.3% respectively. Data on energy consumption are given as a function of the energy source (petroleum, coal and coke, natural gas and electric power), as a function of the consuming sector (for electric power and natural gas) or as a function of the nature of the product (for petroleum products). 4 figs., 4 tabs

  16. Applying water cooled air conditioners in residential buildings in Hong Kong

    International Nuclear Information System (INIS)

    Chen Hua; Lee, W.L.; Yik, F.W.H.

    2008-01-01

    The objective of this study is to conduct a realistic prediction of the potential energy saving for using water cooled air conditioners in residential buildings in Hong Kong. A split type air conditioner with air cooled (AAC) and water cooled (WAC) options was set up for experimental study at different indoor and outdoor conditions. The cooling output, power consumption and coefficient of performance (COP) of the two options were measured and calculated for comparison. The experimental results showed that the COP of the WAC is, on average, 17.4% higher than that of the AAC. The results were used to validate the mathematical models formulated for predicting the performance of WACs and AACs at different operating conditions and load characteristics. While the development of the mathematical models for WACs was reported in an earlier paper, this paper focuses on the experimental works for the AAC. The mathematical models were further used to predict the potential energy saving for application of WACs in residential buildings in Hong Kong. The predictions were based on actual building developments and realistic operating characteristics. The overall energy savings were estimated to be around 8.7% of the total electricity consumption for residential buildings in Hong Kong. Wider use of WACs in subtropical cities is, therefore, recommended

  17. Decomposition of CO{sub 2} emissions change from energy consumption in Brazil: Challenges and policy implications

    Energy Technology Data Exchange (ETDEWEB)

    Freitas, Luciano Charlita de, E-mail: lucianofreitas@hiroshima-u.ac.j [Graduate School for International Development and Cooperation, Development Policy, Hiroshima University 1-5-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8529 (Japan); Kaneko, Shinji [Graduate School for International Development and Cooperation, Development Policy, Hiroshima University 1-5-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8529 (Japan)

    2011-03-15

    This study evaluates the changes in CO{sub 2} emissions from energy consumption in Brazil for the period 1970-2009. Emissions are decomposed into production and consumption activities allowing computing the full set of energy sources consumed in the country. This study aims to develop a comprehensive and updated picture of the underlying determinants of emissions change from energy consumption in Brazil along the last four decades, including for the first time the recently released data for 2009. Results demonstrate that economic activity and demographic pressure are the leading forces explaining emission increase. On the other hand, carbon intensity reductions and diversification of energy mix towards cleaner sources are the main factors contributing to emission mitigation, which are also the driving factors responsible for the observed decoupling between CO{sub 2} emissions and economic growth after 2004. The cyclical patterns of energy intensity and economy structure are associated to both increments and mitigation on total emission change depending on the interval. The evidences demonstrate that Brazilian efforts to reduce emissions are concentrated on energy mix diversification and carbon intensity control while technology intensive alternatives like energy intensity has not demonstrated relevant progress. Residential sector displays a marginal weight in the total emission change. - Research highlights: {yields} Article provides an updated evaluation on the changes in CO{sub 2} emissions from energy consumption in Brazil, including the recently released data for 2009. {yields} Results demonstrate that progress in energy mix diversification and associated factors are the most important factors contributing to emission mitigation in Brazil. {yields} Negligence in technology intensive factors, as energy intensity, has offset most efforts on emission mitigation related to energy consumption. {yields} Paper announces a first episode of absolute decoupling between

  18. Distributed demand-side management optimisation for multi-residential users with energy production and storage strategies

    Directory of Open Access Journals (Sweden)

    Emmanuel Chifuel Manasseh

    2014-12-01

    Full Text Available This study considers load control in a multi-residential setup where energy scheduler (ES devices installed in smart meters are employed for demand-side management (DSM. Several residential end-users share the same energy source and each residential user has non-adjustable loads and adjustable loads. In addition, residential users may have storage devices and renewable energy sources such as wind turbines or solar as well as dispatchable generators. The ES devices exchange information automatically by executing an iterative distributed algorithm to locate the optimal energy schedule for each end-user. This will reduce the total energy cost and the peak-to-average ratio (PAR in energy demand in the electric power distribution. Users possessing storage devices and dispatchable generators strategically utilise their resources to minimise the total energy cost together with the PAR. Simulation results are provided to evaluate the performance of the proposed game theoretic-based distributed DSM technique.

  19. 75 FR 21981 - Energy Conservation Program: Energy Conservation Standards for Residential Water Heaters, Direct...

    Science.gov (United States)

    2010-04-27

    ... DEPARTMENT OF ENERGY 10 CFR Part 430 [Docket Number EE-2006-BT-STD-0129] RIN 1904-AA90 Energy Conservation Program: Energy Conservation Standards for Residential Water Heaters, Direct Heating Equipment, and Pool Heaters Correction In rule document 2010-7611 beginning on page 20112 in the issue of Friday...

  20. Price and income elasticities of residential energy demand in Germany

    International Nuclear Information System (INIS)

    Schulte, Isabella; Heindl, Peter

    2017-01-01

    We apply a quadratic expenditure system to estimate price and expenditure elasticities of residential energy demand (electricity and heating) in Germany. Using official expenditure data from 1993 to 2008, we estimate an expenditure elasticity for electricity of 0.3988 and of 0.4055 for space heating. The own price elasticity for electricity is −0.4310 and −0.5008 in the case of space heating. Disaggregation of households by expenditure and socio-economic composition reveals that the behavioural response to energy price changes is weaker (stronger) for low-income (top-income) households. There are considerable economies of scale in residential energy use but scale effects are not well approximated by the new OECD equivalence scale. Real increases in energy prices show a regressive pattern of incidence, implying that the welfare consequences of direct energy taxation are larger for low income households. The application of zero-elasticities in assessments of welfare consequences of energy taxation strongly underestimates potential welfare effects. The increase in inequality is 22% smaller when compared to the application of disaggregated price and income elasticities as estimated in this paper. - Highlights: • We estimate price, income, and expenditure elasticities for residential energy demand in Germany. • We differentiate elasticities by income groups and household type. • Electricity and space heating are necessary goods since the expenditure elasticities are smaller than unity. • Low-income households show a weaker reaction to changing prices when compared to high-income households. • Direct energy taxation has regressive effects, meaning that larger burdens fall upon low-income households.

  1. Energy consumption trends in Lithuania

    International Nuclear Information System (INIS)

    Galinis, A.; Miskinis, V.

    2000-01-01

    The paper describes some problems related to integration into EU, current state of the Lithuania economy and energy sector and changes in energy consumption during transition period. It provides and analysis of the main indicators of energy consumption, such as the ratio of primary energy consumption to Gross Domestic Product (GDP), primary and final energy intensity and others based on estimates of Purchasing Power Parity. The paper also discusses problems arising at evaluation of economical and energy indices for the countries in transition and compares them with those existing in other countries of Central and Eastern Europe and in Western countries. It shows uneven tendencies of energy intensity occurring under transitions in Lithuania and other Baltic States. (author)

  2. Managing customer loyalty in liberalized residential energy markets: the impact of energy branding

    International Nuclear Information System (INIS)

    Hartmann, P.; Ibanez, V.A.

    2007-01-01

    In numerous recently deregulated energy markets, utilities previously operating in monopolistic environments are now focusing on customer satisfaction and loyalty. In this study, a conceptual framework is proposed that analyses the effects of brand associations and perceived switching costs on customer satisfaction and loyalty in residential energy markets. Several brand associations relevant to energy branding are identified: perceived technical service quality and service process quality, perception of value-added services, environmental and social commitment of the company, brand trust, price perceptions and brand associations related to the corporate attributes 'innovative and dynamic'. Subsequently, the proposed model is tested in the scope of a representative survey of Spanish residential energy customers. Results indicate that customer satisfaction, brand trust and perceived switching costs are positively related to customer loyalty and that brand trust exerts a stronger influence on customer loyalty than satisfaction and switching costs. Findings also show significant effects of the perception of service process quality and environmental and social commitment on loyalty via customer satisfaction. Implications for energy brand managers and regulators are discussed. [Author

  3. Managing customer loyalty in liberalized residential energy markets: The impact of energy branding

    International Nuclear Information System (INIS)

    Hartmann, Patrick; Apaolaza Ibanez, Vanessa

    2007-01-01

    In numerous recently deregulated energy markets, utilities previously operating in monopolistic environments are now focusing on customer satisfaction and loyalty. In this study, a conceptual framework is proposed that analyses the effects of brand associations and perceived switching costs on customer satisfaction and loyalty in residential energy markets. Several brand associations relevant to energy branding are identified: perceived technical service quality and service process quality, perception of value-added services, environmental and social commitment of the company, brand trust, price perceptions and brand associations related to the corporate attributes 'innovative and dynamic'. Subsequently, the proposed model is tested in the scope of a representative survey of Spanish residential energy customers. Results indicate that customer satisfaction, brand trust and perceived switching costs are positively related to customer loyalty and that brand trust exerts a stronger influence on customer loyalty than satisfaction and switching costs. Findings also show significant effects of the perception of service process quality and environmental and social commitment on loyalty via customer satisfaction. Implications for energy brand managers and regulators are discussed

  4. Managing customer loyalty in liberalized residential energy markets: the impact of energy branding

    Energy Technology Data Exchange (ETDEWEB)

    Hartmann, P.; Ibanez, V.A. [University of the Basque Country, Bilbao (Spain). Facultad de Ciencias Economicas y Empresariales

    2007-04-15

    In numerous recently deregulated energy markets, utilities previously operating in monopolistic environments are now focusing on customer satisfaction and loyalty. In this study, a conceptual framework is proposed that analyses the effects of brand associations and perceived switching costs on customer satisfaction and loyalty in residential energy markets. Several brand associations relevant to energy branding are identified: perceived technical service quality and service process quality, perception of value-added services, environmental and social commitment of the company, brand trust, price perceptions and brand associations related to the corporate attributes 'innovative and dynamic'. Subsequently, the proposed model is tested in the scope of a representative survey of Spanish residential energy customers. Results indicate that customer satisfaction, brand trust and perceived switching costs are positively related to customer loyalty and that brand trust exerts a stronger influence on customer loyalty than satisfaction and switching costs. Findings also show significant effects of the perception of service process quality and environmental and social commitment on loyalty via customer satisfaction. Implications for energy brand managers and regulators are discussed. [Author].

  5. 2005 primary energy consumption in Germany

    International Nuclear Information System (INIS)

    Anon.

    2006-01-01

    According to preliminar calculations by the Arbeitsgemeinschaft Energiebilanzen (Working Party on Energy Balances, AGEB), the consumption of an aggregate 486 million TCE of primary energy resources in Germany last year was 1.3% below the level of the year before. Energy consumption was influenced by both the high level of prices and the development of the economy. Hardly any influence was attributable to the level of temperatures, which was largely unchanged compared to the figure of the year before. Oil consumption in 2005 in Germany dropped by nearly 2% to 174.8 million TCE. On the whole, oil with its 36% share in the energy balance remained by far the most important energy resource in Germany. Natural gas consumption of 110.4 million TCE was at the level of the year before. Its share in the primary energy balance rose slightly to 22.7%. Hard coal, because of lower use in power plants and the decline in iron making, showed a 4.6% drop in consumption to 62.8 million TCE. In this way, hard coal contributed 13% to total energy consumption. Lignite consumption dropped by 3.2% to 54.4 million TCE as a result of lower deliveries to power plants. Its 11.2% share in the total consumption of primary energy continued to make lignite the most important domestic energy resource. More than 90% of the lignite produced is used for electricity generation. The contribution to primary energy consumption of nuclear power dropped by more than 2% to 60.7 million TCE. Hydroelectric plants and wind power plants increased their contribution by 3.6%. The contribution to primary energy consumption made by all renewable energy resources rose to 4.6%. AGEB evaluates statistics of all areas of the power economy on the basis of standard criteria in order to combine these data in a comprehensive picture. Since 1994, the energy balances for Germany have been compiled by DIW on behalf of AGEB. (orig.)

  6. Compliance Verification Paths for Residential and Commercial Energy Codes

    Energy Technology Data Exchange (ETDEWEB)

    Conover, David R.; Makela, Eric J.; Fannin, Jerica D.; Sullivan, Robin S.

    2011-10-10

    This report looks at different ways to verify energy code compliance and to ensure that the energy efficiency goals of an adopted document are achieved. Conformity assessment is the body of work that ensures compliance, including activities that can ensure residential and commercial buildings satisfy energy codes and standards. This report identifies and discusses conformity-assessment activities and provides guidance for conducting assessments.

  7. Driving Demand for Home Energy Improvements: Motivating residential customers to invest in comprehensive upgrades that eliminate energy waste, avoid high utility bills, and spur the economy

    Energy Technology Data Exchange (ETDEWEB)

    Fuller, Merrian C.

    2010-09-20

    Policy makers and program designers in the U.S. and abroad are deeply concerned with the question of how to scale up energy efficiency to a level that is commensurate both to the scale of the energy and climate challenges we face, and to the potential for energy savings that has been touted for decades. When policy makers ask what energy efficiency can do, the answers usually revolve around the technical and economic potential of energy efficiency - they rarely hone in on the element of energy demand that matters most for changing energy usage in existing homes: the consumer. A growing literature is concerned with the behavioral underpinnings of energy consumption. We examine a narrower, related subject: How can millions of Americans be persuaded to divert valued time and resources into upgrading their homes to eliminate energy waste, avoid high utility bills, and spur the economy? With hundreds of millions of public dollars flowing into incentives, workforce training, and other initiatives to support comprehensive home energy improvements, it makes sense to review the history of these programs and begin gleaning best practices for encouraging comprehensive home energy improvements. Looking across 30 years of energy efficiency programs that targeted the residential market, many of the same issues that confronted past program administrators are relevant today: How do we cost-effectively motivate customers to take action? Who can we partner with to increase program participation? How do we get residential efficiency programs to scale? While there is no proven formula - and only limited success to date with reliably motivating large numbers of Americans to invest in comprehensive home energy improvements, especially if they are being asked to pay for a majority of the improvement costs - there is a rich and varied history of experiences that new programs can draw upon. Our primary audiences are policy makers and program designers - especially those that are relatively

  8. Optimal Scheduling of Residential Microgrids Considering Virtual Energy Storage System

    Directory of Open Access Journals (Sweden)

    Weiliang Liu

    2018-04-01

    Full Text Available The increasingly complex residential microgrids (r-microgrid consisting of renewable generation, energy storage systems, and residential buildings require a more intelligent scheduling method. Firstly, aiming at the radiant floor heating/cooling system widely utilized in residential buildings, the mathematical relationship between the operative temperature and heating/cooling demand is established based on the equivalent thermodynamic parameters (ETP model, by which the thermal storage capacity is analyzed. Secondly, the radiant floor heating/cooling system is treated as virtual energy storage system (VESS, and an optimization model based on mixed-integer nonlinear programming (MINLP for r-microgrid scheduling is established which takes thermal comfort level and economy as the optimization objectives. Finally, the optimal scheduling results of two typical r-microgrids are analyzed. Case studies demonstrate that the proposed scheduling method can effectively employ the thermal storage capacity of radiant floor heating/cooling system, thus lowering the operating cost of the r-microgrid effectively while ensuring the thermal comfort level of users.

  9. Energy consumption trends in Hawaii

    International Nuclear Information System (INIS)

    Kaya, Abidin; Yalcintas, Melek

    2010-01-01

    This study begins with a review of energy consumption by end-use sector in Hawaii. Then, the energy generated from renewable energy sources is analyzed between 1991 and 2006. The results show that while geothermal is a considerable source of renewable energy on the Island of Hawaii (also known as Big Island), fossil fuel is the main energy source in the State of Hawaii. The energy intensity index for the State of Hawaii is then calculated by dividing energy consumption per capita by the income per capita. The calculated energy intensity index reveals that energy consumption is directly controlled by per capita income. The results also indicate that the energy intensity index increases over time despite positive developments in energy efficient technologies. In the second part of the paper, the effect of the tourism industry on energy usage in the State of Hawaii is analyzed. The results show that tourism volume, measured in terms of tourist arrival numbers, does not change the energy consumption directly. However, a change in tourism volume does affect per capita income within a few months to a year. In the last part of the study, the energy efficiency index of Hawaii is compared with consumption averages for the US, California and the most energy efficient country in Europe, Denmark. The comparison shows that Hawaii lags behind California and Denmark in terms of energy efficiency. The comparison also shows that an increase in energy efficiency corresponds to an increase in per capita income across the board, which is in agreement with a recent report published by the American Physical Society.

  10. ENERGY-EFFICIENT REGIMES FOR HEATING-SUPPLY OF THE RESIDENTIAL BUILDINGS

    Directory of Open Access Journals (Sweden)

    S. N. Osipov

    2015-01-01

    Full Text Available Rise in comfort and inhabitation safety is one of the main requirements of the general maintenance, reconstruction of the old and construction of the new residential houses. One of the essential factors of it is substitution in the household hot-water preparing sources: from the individual domestic gas  water-heaters to  the common  entire-building hot-water supply at the expense of the centralized heat supply. Extremely erratic hot-water daily consumption by tenants leads to the necessity of sharp increase in central heat-supply level during a few hours of the day, which requires a significant increase of the source heat-power. On that score, the authors propose to direct a significant part (up to 50 % of the centralized heating and ventilation heat power-consumption to the hot water preparation during the period of short-term hot water consumption peak.Substitution  of  the  individual  domestic  gas  water-heaters  with  the  common  entirebuilding hot-water supply releases a huge amount of natural gas which can be utilized not only for production of the necessary heat power but as well for electric power producing. This substitution is especially advantageous if heat-power is delivered to the residential area from a НРС where significant part of heat especially in a relatively warm season of the year is thrown out into the air. The content of the article is based on several patents received earlier.

  11. Potential energy savings in renovation projects of residential and service buildings; Energiansaeaestoemahdollisuudet rakennuskannan korjaustoiminnassa

    Energy Technology Data Exchange (ETDEWEB)

    Heljo, J.; Vihola, J.

    2012-11-01

    be only half of that. The biggest uncertainty in the estimation of savings potential is related to increased ventilation heat recovery especially in blocks of flats. Based on calculations, the energy consumption of the residential and service building stock in existence in 2010 will drop from 91 TWh/a to less than 50 TWh/a in 2050. Consumption will be reduced by structural energy-saving measures, changes in heating methods and loss of stock. It is possible to attain nearly 20% savings, about 10 TWh/a, in the 2010 building stock through renovation measures by 2050. The greenhouse gas emissions from the energy used in buildings will be cut by energy savings as well as an increase in nuclear power-generated electricity and wider use of renewable fuels in the generation of district heat and electricity. Moreover, emissions will be reduced, especially in detached houses, by switching to heating systems that produce fewer emissions. These changes in energy supply will probably cut the green-house emissions of the building stock more than energy-saving measures in buildings. Yet, both are necessary to attain the reduction goals. (orig.)

  12. Scheduling home-appliances to optimize energy consumption

    DEFF Research Database (Denmark)

    Rossello Busquet, Ana

    In order to optimize the energy consumption, energy demand peaks should be avoided, and energy consumption should be smoothly distributed over time. This can be achieved by setting a maximum energy consumption per user’s household. In other words, the overall consumption of the user’s appliances...

  13. Manufacturing consumption of energy 1991

    Energy Technology Data Exchange (ETDEWEB)

    1994-12-01

    This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

  14. Estimating energy impacts of residential and commercial building development. A manual for the Pacific Northwest and Alaska

    Energy Technology Data Exchange (ETDEWEB)

    1979-02-22

    This energy-impact manual presents information on energy implications of new building design and operation, providing a reasonably accurate means of assessing the total energy impact of new construction in the commercial and residential sectors. While developed specifically for the states of Alaska, Idaho, Oregon, and Washington, much of the data used are national averages; the procedures described are applicable to other regions of the nation, with appropriate adjustments for climatic differences. The manual is organized into three parts, each covering one aspect of the energy impacts of building development. Part I addresses the energy impact of erecting the building(s). This includes the energy cost of grading and excavating and other site preparation. It also takes into account the energy embodied in the fabrication of materials used in building construction, as well as the energy cost of transporting materials to the site and assembling them. Part II focuses on the end use of energy during normal building operation, i.e., the energy consumed for space heating, cooling, lighting, water heating, etc. A simplified calculation sequence is provided which allows the user to estimate the consumption of most combinations of building orientation, characteristics, and operating conditions. Part III examines the relationship of land use to energy consumption, principally the transportation energy impact of various land-development patterns, the embodied energy impacts of infrastructure requirements, and the impacts of various orientation and siting schemes. (MCW)

  15. Energy use of US residential refrigerators and freezers. Function derivation based on household and climate characteristics

    Energy Technology Data Exchange (ETDEWEB)

    Greenblatt, J.; Letschert, V. [Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, CA (United States); Hopkins, A. [Vermont Department of Public Service, Burlington, VT (United States); Blasnik, M. [Blasnik Consulting, Boston, MA (United States)

    2013-02-15

    Field-metered energy use data for 1,467 refrigerators and 185 freezers from seven studies conducted between 1992 and 2010 were used to calculate usage adjustment factors (UAFs), defined as the ratio of measured to tested annual energy use. Multiple regressions of UAFs against several household and climate variables were then performed to obtain separate predictive functions for primary (most-used) refrigerators, secondary (second most-used) refrigerators, and freezers, and residual differences between observed and modeled UAFs were fit to log normal distributions. These UAF functions were used to project energy use in the more than 4,000 households in the 2005 Residential Energy Consumption Survey, a statistical representation of US homes. These energy use projections formed the basis of calculating lifecycle energy savings for more efficient refrigerators and freezers, as well as national energy and cost savings. Results were compared with previous published work by the Department of Energy, demonstrating how UAFs impact energy and cost savings. Such an approach could be further improved with additional data and adapted for other appliances in future analyses.

  16. The world energy consumption in 2005

    International Nuclear Information System (INIS)

    Lapillonne, B.

    2006-01-01

    Based on Enerdata 2005 data, this analysis presents the situation of the world energy consumption in 2005, the electric power consumption per region and production per source, the consumption increase for each energy source and the petroleum and gas consumption increase. (A.L.B.)

  17. A review of residential computer oriented energy control systems

    Energy Technology Data Exchange (ETDEWEB)

    North, Greg

    2000-07-01

    The purpose of this report is to bring together as much information on Residential Computer Oriented Energy Control Systems as possible within a single document. This report identifies the main elements of the system and is intended to provide many technical options for the design and implementation of various energy related services.

  18. The role of income in energy consumption behaviour: Evidence from French households data

    International Nuclear Information System (INIS)

    Cayla, Jean-Michel; Maizi, Nadia; Marchand, Christophe

    2011-01-01

    The main purpose of this paper is to characterise quantitatively the impact of income on household energy consumption in the residential and transport sectors. Starting from the data collected in a paper survey, we analyse the extent of the constraint experienced by households in terms of equipment purchasing behaviour and daily energy consumption. This analysis shows that the least well-off households are particularly constrained since the share of their budget represented by these energy services is very large (15–25%), and this corresponds to a level of energy service well below that of the better-off households. The case of space-heating shows a factor of 2 in terms of level of comfort achieved between the extreme 10-percentiles. These households also face a strong capital constraint for equipment purchases. This leads either to a large increase in the required rate of return or to a reduction in the proportion of households that are prepared to replace their equipment earlier. The least well-off households are thus doubly constrained, since it is more difficult for them to invest. In our opinion, it is crucial to take into account this observation in the context of political measures aimed at reducing households’CO 2 emissions. - Highlights: ► Realisation of a survey to quantify the impact of income on energy consumption. ► There is a factor of 2 in the level of comfort achieved by extreme income households. ► Analysis of discount rates demanded by households according to income and end-use. ► Influence of income on intensity of use of energy services and energy management.

  19. Estimating broad-brush rebound effects for household energy consumption in the EU 28 countries and Norway: some policy implications of Odyssee data

    International Nuclear Information System (INIS)

    Galvin, Ray

    2014-01-01

    Currently there is a strong policy commitment in European Union (EU) and Organisation for Economic Co-operation and Development (OECD) countries to increase the energy efficiency of residential buildings, and it is widely assumed that this will naturally and automatically reduce domestic energy consumption. However, other factors such as fuel prices, wages, attitudes and lifestyles also influence energy consumption. This paper calculates broad-brush rebound effects based on changes in energy efficiency and energy consumption in each of the 28 EU countries plus Norway, for the years 2000–2011. In doing so, it tests how well the assumption of energy efficiency leading to energy reduction stands up to scrutiny in these lands. It uses the EU’s Odyssee database for efficiency and consumption figures and a commonly employed econometric definition of the rebound effect as an energy-efficiency elasticity. Most older EU lands show rebound effects in the expected range of 0–50%. However, the range for newer EU countries is 100–550%, suggesting that energy efficiency increases are not a good predictor of energy consumption. A more in-depth look at one country, Germany, suggests these results underestimate the rebound effect significantly. This also identifies research needs for specific energy consumption determinants in each country, to find more precisely what is driving consumption levels. - Highlights: • Policymakers frequently link energy efficiency gains with energy consumption falls. • Household energy rebound effects are calculated for EU lands using Odyssee data. • Most older EU lands show results in the range of 0–50% but newer lands show 100–552%. • Energy efficiency gains are not always a reliable predictor of energy consumption. • Targeted research could explore why consumption is often so unrelated to efficiency

  20. Impact of energy efficiency measures on the CO{sub 2} emissions in the residential sector, a large scale analysis

    Energy Technology Data Exchange (ETDEWEB)

    Hens, H.; Verbeeck, G.; Verdonck, B. [Department of Civil Engineering, Laboratory for Building Physics, Leuven (Belgium)

    2000-07-01

    Like all industrialised countries, Belgium accepted to diminish its greenhouse gas emissions in the frame of the Kyoto agreement. On top of the list figures CO{sub 2}. A major emission source for CO{sub 2} is burning fossil fuels. As the residential sector accounts for 28% of the country's annual energy consumption and as this consumption mainly concerns fossil fuels, it has an equally important share in the CO{sub 2} release. Hence, at first sight, the best policy for a decrease is by improving the energy efficiency. The question to be solved, however, is which improvement could generate the reduction needed? This study discusses a methodology and comments simulations that help in answering that question. The results are not as simple as one should like. The housing stock in fact acts as a conservatory system. For the case being, the impact of energy efficient new construction on the CO{sub 2} release remains quite marginal if the period considered does not extend beyond a decade. The effect becomes significant only over a longer period, on condition that more stringent energy efficiency measures are combined with a shift from new construction to retrofit and reconstruction. Also a diminishing increase in the number of households may help in reducing energy consumption and CO{sub 2} release. (author)

  1. Energy saving innovations in residential buildings. Energiesparende Innovationen im Eigenheim

    Energy Technology Data Exchange (ETDEWEB)

    Gruber, E; Meyer, T

    1983-01-01

    Socio-economic studies have been carried out in the course of the ''Landstuhl demonstration project'' with the aim of evaluating supporting and hampering factors for the realization of energy saving measures, especially for the use of innovation techniques and the use of passive solar energy in residential buildings. The results of two opinion polls have been presented by means of standardized personal interviews with building-owners (in the whole Federal Republic and in the demonstration area) and with building experts (264 persons questioned). The evaluations of the results of the opinion poll show that energy conservation plays an important but not a dominant part in the planning of residential buildings. In the ''Landstuhl area'' energy saving investments took an above-average high position (large impact of the demonstration project). The building-owners and experts most frequently wanted and recommended increased conventional measures. It could be shown that the imagination of the building-owners was asked too much when taking measures for the use of passive solar energy.

  2. Exploring the range of energy savings likely from energy efficiency retrofit measures in Ireland's residential sector

    International Nuclear Information System (INIS)

    Dineen, D.; Ó Gallachóir, B.P.

    2017-01-01

    This paper estimates the potential energy savings in the Irish residential sector by 2020 due to the introduction of an ambitious retrofit programme. We estimate the technical energy savings potential of retrofit measures targeting energy efficiency of the space and water heating end uses of the 2011 stock of residential dwellings between 2012 and 2020. We build eight separate scenarios, varying the number of dwellings retrofitted and the depth of retrofit carried out in order to investigate the range of energy savings possible. In 2020 the estimated technical savings potential lies in the range from 1713 GWh to 10,817 GWh, but is more likely to fall within the lower end of this range, i.e. between 1700 and 4360 GWh. When rebound effects are taken into account this reduces further to 1100 GWh and 2800 GWh per annum. The purpose of this paper was to test the robustness of the NEEAP target savings for residential retrofit, i.e. 3000 GWh by 2020. We conclude that this target is technically feasible but very challenging and unlikely to be achieved based on progress to date. It will require a significant shift towards deeper retrofit measures compared to what has been achieved by previous schemes. - Highlights: • Paper estimates range of energy savings likely from Irish residential retrofit. • Achieving NEEAP target savings of 3000 GWh by 2020 is feasible but very challenging. • Likely savings of 1100–2800 GWh per annum in 2020, including rebound. • NEEAP target unlikely to be achieved based on current trends.

  3. Energy performance of building fabric - Comparing two types of vernacular residential houses

    Science.gov (United States)

    Draganova, Vanya Y.; Matsumoto, Hiroshi; Tsuzuki, Kazuyo

    2017-10-01

    Notwithstanding apparent differences, Japanese and Bulgarian traditional residential houses share a lot of common features - building materials, building techniques, even layout design. Despite the similarities, these two types of houses have not been compared so far. The study initiates such comparison. The focus is on houses in areas with similar climate in both countries. Current legislation requirements are compared, as well as the criteria for thermal comfort of people. Achieving high energy performance results from a dynamic system of 4 main key factors - thermal comfort range, heating/cooling source, building envelope and climatic conditions. A change in any single one of them can affect the final energy performance. However, it can be expected that a combination of changes in more than one factor usually occurs. The aim of this study is to evaluate the correlation between the thermal performance of building envelope designed under current regulations and a traditional one, having in mind the different thermal comfort range in the two countries. A sample building model is calculated in Scenario 1 - Japanese traditional building fabric, Scenario 2 - Bulgarian traditional building fabric and Scenario 3 - meeting the requirements of the more demanding current regulations. The energy modelling is conducted using EnergyPlus through OpenStudio cross-platform of software tools. The 3D geometry for the simulation is created using OpenStudio SketchUp Plug-in. Equal number of inhabitants, electricity consumption and natural ventilation is assumed. The results show that overall low energy consumption can be achieved using traditional building fabric as well, when paired with a wider thermal comfort range. Under these conditions traditional building design is still viable today. This knowledge can reestablish the use of traditional building fabric in contemporary design, stimulate preservation of local culture, building traditions and community identity.

  4. Hybrid LSA-ANN Based Home Energy Management Scheduling Controller for Residential Demand Response Strategy

    Directory of Open Access Journals (Sweden)

    Maytham S. Ahmed

    2016-09-01

    Full Text Available Demand response (DR program can shift peak time load to off-peak time, thereby reducing greenhouse gas emissions and allowing energy conservation. In this study, the home energy management scheduling controller of the residential DR strategy is proposed using the hybrid lightning search algorithm (LSA-based artificial neural network (ANN to predict the optimal ON/OFF status for home appliances. Consequently, the scheduled operation of several appliances is improved in terms of cost savings. In the proposed approach, a set of the most common residential appliances are modeled, and their activation is controlled by the hybrid LSA-ANN based home energy management scheduling controller. Four appliances, namely, air conditioner, water heater, refrigerator, and washing machine (WM, are developed by Matlab/Simulink according to customer preferences and priority of appliances. The ANN controller has to be tuned properly using suitable learning rate value and number of nodes in the hidden layers to schedule the appliances optimally. Given that finding proper ANN tuning parameters is difficult, the LSA optimization is hybridized with ANN to improve the ANN performances by selecting the optimum values of neurons in each hidden layer and learning rate. Therefore, the ON/OFF estimation accuracy by ANN can be improved. Results of the hybrid LSA-ANN are compared with those of hybrid particle swarm optimization (PSO based ANN to validate the developed algorithm. Results show that the hybrid LSA-ANN outperforms the hybrid PSO based ANN. The proposed scheduling algorithm can significantly reduce the peak-hour energy consumption during the DR event by up to 9.7138% considering four appliances per 7-h period.

  5. Economic analysis of upgrading aging residential buildings in China based on dynamic energy consumption and energy price in a market economy

    International Nuclear Information System (INIS)

    Ouyang Jinlong; Lu Meijun; Li Bing; Wang Chunyuan; Hokao, Kazunori

    2011-01-01

    This article employed a standard LCC to conduct economic analysis of upgrading the aging residential buildings in China. According to the current situation, an interest rate of 6%, an inflation rate of 3%, an increase rate of annual energy savings of 2% and an increase rate of electricity price of 2% were assumed in the method. The results indicated that only relying on gradually increasing electricity price and governments' subsidies was not enough. After detailed analysis of the energy saving measures and the distribution of all benefits from building energy retrofit, it was found that actually only 1/3 of original cost was spent only for energy savings, the second 1/3 for both energy savings and good facade appearance and occupants should share the last 1/3 because even if without energy retrofit, they would have to pay the part too. The corresponding results proved that the first 1/3 of investment cost could be drawn back within the residue life cycle, and so the investment could be accepted in a sheer market economy. In the end, a model about distribution of investment cost of and benefits was proposed to adapt the market economy to overcome the financial problems in China. - Highlights: → The paper uses LCC to conduct economic analysis on building energy retrofit of China. → LCC considers dynamic energy use, energy price and economic development of China. → Only relying on increasing electricity price and governments' subsidies is not enough. → Actually only 1/3 of original cost is spent only for energy saving, can be drawn back. → Investors, governments and occupants should respectively pay 1/3 of investment cost.

  6. Case Study of Smart Meter and In-home Display for Residential Behavior Change in Shanghai, China

    OpenAIRE

    Xu, Peng; Shen, Jingchun; Zhang, Xingxing; Zhao, Xudong; Qian, Yingchu

    2015-01-01

    Smart meters and in-home displays (IHD) have been recently adopted to help give residential consumers more control over energy consumption, and to help meet environmental and security of supply objectives. The paper aims to identify the effectiveness of smart meters and real-time IHDs in reducing Shanghai household energy consumption through a pilot investigation. The research results demonstrate the improved awareness, understanding, and attitudes towards the energy saving by smart meters an...

  7. Turkey's net energy consumption

    International Nuclear Information System (INIS)

    Soezen, Adnan; Arcaklioglu, Erol; Oezkaymak, Mehmet

    2005-01-01

    The main goal of this study is to develop the equations for forecasting net energy consumption (NEC) using an artificial neural-network (ANN) technique in order to determine the future level of energy consumption in Turkey. In this study, two different models were used in order to train the neural network. In one of them, population, gross generation, installed capacity and years are used in the input layer of the network (Model 1). Other energy sources are used in input layer of network (Model 2). The net energy consumption is in the output layer for two models. Data from 1975 to 2003 are used for the training. Three years (1981, 1994 and 2003) are used only as test data to confirm this method. The statistical coefficients of multiple determinations (R 2 -value) for training data are equal to 0.99944 and 0.99913 for Models 1 and 2, respectively. Similarly, R 2 values for testing data are equal to 0.997386 and 0.999558 for Models 1 and 2, respectively. According to the results, the net energy consumption using the ANN technique has been predicted with acceptable accuracy. Apart from reducing the whole time required, with the ANN approach, it is possible to find solutions that make energy applications more viable and thus more attractive to potential users. It is also expected that this study will be helpful in developing highly applicable energy policies

  8. Evaluating the Relationship between the Population Trends, Prices, Heat Waves, and the Demands of Energy Consumption in Cities

    Directory of Open Access Journals (Sweden)

    Katherine S. Fu

    2015-11-01

    Full Text Available The demands of energy consumption have been projected as a key factor that affects an economy at the city, national, and international level. Contributions to total U.S. greenhouse gas emissions in 2012 by various urban sectors include electricity (31%, transportation (28%, industry (20%, agriculture (10%, and commercial and residential (10%. Yet the heavy demands of energy consumption in the cities by residents, commercial businesses, industries, and transportation are important for maintaining and sustaining sufficient economic growth. The purpose of this study is to investigate the relationships between population trends, historical energy consumptions, the changes of average electricity price, average annual temperature, and extreme weather events for three selected cities: New York, Chicago, and Los Angeles. These cities are exemplary of, metropolitan areas in the East, Middle, and the Western regions of the U.S. We find that the total energy consumptions of New York, Chicago, and Los Angeles are influenced to various degrees by changes in population, temperature and the average price of electricity and that only one city, Los Angeles, does price significantly affect electricity use. This finding has implications for policy making, suggesting that each city’s climate, size and general economic priorities must be considered in developing climate change mitigation strategies and incentives.

  9. Evaluation of fuel-switching opportunities in the residential sector

    OpenAIRE

    Almeida, Aníbal T. de; Lopes, Ana; Carvalho, Anabela; Mariano, Jorge; Nunes, Catarina

    2004-01-01

    The aim of this paper is to analyse the impact of different natural gas and electricity end-use technologies in the residential sector, which compete among themselves in terms of energy consumption and carbon emissions. The analysis of 17 different technology options, which were chosen in order to match the consumption behaviour of a typical Portuguese family, has shown that the use of electric heat pumps, both for space and water-heating, combined with the use of a natural gas cooker, leads ...

  10. Update of energy performance certificates in the residential sector and scenarios that consider the impact of automation, control and management systems: A case study of La Rioja

    International Nuclear Information System (INIS)

    López-González, Luis M.; López-Ochoa, Luis M.; Las-Heras-Casas, Jesús; García-Lozano, César

    2016-01-01

    Highlights: • A total of 9416 energy performance certificates in the residential sector were analyzed. • Approximately 40% of the energy performance certificates were incorrect. • The developed algorithms can be generalized for the remainder of Spain. • Introducing BACS and TBM systems can reduce building energy consumption by up to 26.36%. - Abstract: Energy performance certificates are considered to be tools for knowledge and energy planning in the residential sector. Although energy performance certificates describe primary energy consumption and the associated emissions of a home or building, they do not consider the influence of building automation control systems (BACS) or technical building management (TBM) systems on these parameters. The European Standard EN 15232 remedies this shortcoming and evaluates the savings in primary energy and the reduction of CO_2 emissions that can be achieved by these systems. This study investigates the energy performance certificates registered in the Autonomous Community of La Rioja and considers the policy changes in the Technical Building Code (Código Técnico de la Edificación) and, specifically, the Basic Document for Energy Saving (Documento Básico de Ahorro de Energía) (CTE-DB-HE). Due to this regulatory change, we corrected the certificates and outlined different scenarios based on the implementation of these systems in this study. These scenarios show the potential distribution of energy performance certificates and the improvements in the ratings obtained.

  11. Modular Energy Management System Applicable to Residential Microgrids

    DEFF Research Database (Denmark)

    Hernández, Adriana Carolina Luna; Aldana, Nelson Leonardo Diaz; Graells, Moises

    2016-01-01

    In this paper, an energy management system is defined as a flexible architecture. This proposal can be applied to home and residential areas when they include generation units. The system has been integrated and tested in a grid-connected microgrid prototype, where optimal power generation profiles...

  12. Exploring efficacy of residential energy efficiency programs in Florida

    Science.gov (United States)

    Taylor, Nicholas Wade

    Electric utilities, government agencies, and private interests in the U.S. have committed and continue to invest substantial resources in the pursuit of energy efficiency and conservation through demand-side management (DSM) programs. Program investments, and the demand for impact evaluations that accompany them, are projected to grow in coming years due to increased pressure from state-level energy regulation, costs and challenges of building additional production capacity, fuel costs and potential carbon or renewable energy regulation. This dissertation provides detailed analyses of ex-post energy savings from energy efficiency programs in three key sectors of residential buildings: new, single-family, detached homes; retrofits to existing single-family, detached homes; and retrofits to existing multifamily housing units. Each of the energy efficiency programs analyzed resulted in statistically significant energy savings at the full program group level, yet savings for individual participants and participant subgroups were highly variable. Even though savings estimates were statistically greater than zero, those energy savings did not always meet expectations. Results also show that high variability in energy savings among participant groups or subgroups can negatively impact overall program performance and can undermine marketing efforts for future participation. Design, implementation, and continued support of conservation programs based solely on deemed or projected savings is inherently counter to the pursuit of meaningful energy conservation and reductions in greenhouse gas emissions. To fully understand and optimize program impacts, consistent and robust measurement and verification protocols must be instituted in the design phase and maintained over time. Furthermore, marketing for program participation must target those who have the greatest opportunity for savings. In most utility territories it is not possible to gain access to the type of large scale

  13. Integration of plug-in hybrid electric vehicles (PHEV) with grid connected residential photovoltaic energy systems

    Science.gov (United States)

    Nagarajan, Adarsh; Shireen, Wajiha

    2013-06-01

    This paper proposes an approach for integrating Plug-In Hybrid Electric Vehicles (PHEV) to an existing residential photovoltaic system, to control and optimize the power consumption of residential load. Control involves determining the source from which residential load will be catered, where as optimization of power flow reduces the stress on the grid. The system built to achieve the goal is a combination of the existing residential photovoltaic system, PHEV, Power Conditioning Unit (PCU), and a controller. The PCU involves two DC-DC Boost Converters and an inverter. This paper emphasizes on developing the controller logic and its implementation in order to accommodate the flexibility and benefits of the proposed integrated system. The proposed controller logic has been simulated using MATLAB SIMULINK and further implemented using Digital Signal Processor (DSP) microcontroller, TMS320F28035, from Texas Instruments

  14. Assessing National Employment Impacts of Investment in Residential and Commercial Sector Energy Efficiency: Review and Example Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Anderson, David M.; Belzer, David B.; Livingston, Olga V.; Scott, Michael J.

    2014-06-18

    Pacific Northwest National Laboratory (PNNL) modeled the employment impacts of a major national initiative to accelerate energy efficiency trends at one of two levels: • 15 percent savings by 2030. In this scenario, efficiency activities save about 15 percent of the Annual Energy Outlook (AEO) Reference Case electricity consumption by 2030. It is assumed that additional energy savings in both the residential and commercial sectors begin in 2015 at zero, and then increase in an S-shaped market penetration curve, with the level of savings equal to about 7.0 percent of the AEO 2014 U.S. national residential and commercial electricity consumption saved by 2020, 14.8 percent by 2025, and 15 percent by 2030. • 10 percent savings by 2030. In this scenario, additional savings begin at zero in 2015, increase to 3.8 percent in 2020, 9.8 percent by 2025, and 10 percent of the AEO reference case value by 2030. The analysis of the 15 percent case indicates that by 2030 more than 300,000 new jobs would likely result from such policies, including an annual average of more than 60,000 jobs directly supporting the installation and maintenance of energy efficiency measures and practices. These are new jobs resulting initially from the investment associated with the construction of more energy-efficient new buildings or the retrofit of existing buildings and would be sustained for as long as the investment continues. Based on what is known about the current level of building-sector energy efficiency jobs, this would represent an increase of more than 10 percent from the current estimated level of over 450,000 such jobs. The more significant and longer-lasting effect comes from the redirection of energy bill savings toward the purchase of other goods and services in the general economy, with its attendant influence on increasing the total number of jobs. This example analysis utilized PNNL’s ImSET model, a modeling framework that PNNL has used over the past two decades to assess

  15. Trade and energy consumption in the Middle East

    International Nuclear Information System (INIS)

    Sadorsky, Perry

    2011-01-01

    Over the past 30 years many economies have experienced large increases in economic trade, income and energy consumption. This brings up an interesting question. How do increases in trade affect energy consumption? This study uses panel cointegration data estimation techniques to examine the impact of trade on energy consumption in a sample of 8 Middle Eastern countries covering the period 1980 to 2007. Short-run dynamics show Granger causality from exports to energy consumption, and a bi-directional feedback relationship between imports and energy consumption. Long run elasticities estimated from FMOLS show that a 1% increase in per capita exports increases per capita energy consumption by 0.11% while a one percent increase in per capita imports increases per capita energy consumption by 0.04%. These results are important in establishing that increased trade affects energy demand in the Middle East in both the short and long-run. This has implications for energy policy and environmental policy. - Research Highlights: → Trade affects energy consumption in Middle Eastern economies. → Short-run causality runs from exports to energy consumption. → There is a short-run feedback relationship between energy consumption and imports. → In the long-run a 1% increase in per capita exports increases per capita energy consumption by 0.11%. → In the long-run a 1% increase in per capita imports increases per capita energy consumption by 0.04%.

  16. Tables of energy consumptions in France

    International Nuclear Information System (INIS)

    1997-01-01

    This work presents in a detailed way important data about the evolution of energy in France during the last twenty years. for the totality of economic sectors, then for each of them ( industry, residential, transports and agriculture sector), this analysis brings to light the part that each form of energy takes to the supply of the French market, the importance of equipment parks and the energy economies that have been realized. (N.C.)

  17. A Method for Determining Optimal Residential Energy Efficiency Packages

    Energy Technology Data Exchange (ETDEWEB)

    Polly, B. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Gestwick, M. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Bianchi, M. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Anderson, R. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Horowitz, S. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Christensen, C. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Judkoff, R. [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2011-04-01

    This report describes an analysis method for determining optimal residential energy efficiency retrofit packages and, as an illustrative example, applies the analysis method to a 1960s-era home in eight U.S. cities covering a range of International Energy Conservation Code (IECC) climate regions. The method uses an optimization scheme that considers average energy use (determined from building energy simulations) and equivalent annual cost to recommend optimal retrofit packages specific to the building, occupants, and location.

  18. The impact of residential, commercial, and transport energy demand uncertainties in Asia on climate change mitigation

    International Nuclear Information System (INIS)

    Koljonen, Tiina; Lehtilä, Antti

    2012-01-01

    Energy consumption in residential, commercial and transport sectors have been growing rapidly in the non-OECD Asian countries over the last decades, and the trend is expected to continue over the coming decades as well. However, the per capita projections for energy demand in these particular sectors often seem to be very low compared to the OECD average until 2050, and it is clear that the scenario assessments of final energy demands in these sectors include large uncertainties. In this paper, a sensitivity analysis have been carried out to study the impact of higher rates of energy demand growths in the non-OECD Asia on global mitigation costs. The long term energy and emission scenarios for China, India and South-East Asia have been contributed as a part of Asian Modeling Exercise (AME). The scenarios presented have been modeled by using a global TIMES-VTT energy system model, which is based on the IEA-ETSAP TIMES energy system modeling framework and the global ETSAP-TIAM model. Our scenario results indicate that the impacts of accelerated energy demand in the non-OECD Asia has a relatively small impact on the global marginal costs of greenhouse gas abatement. However, with the accelerated demand projections, the average per capita greenhouse gas emissions in the OECD were decreased while China, India, and South-East Asia increased their per capita greenhouse gas emissions. This indicates that the costs of the greenhouse gas abatement would especially increase in the OECD region, if developing Asian countries increase their final energy consumption more rapidly than expected. - Highlights: ► Scenarios of final energy demands in developing Asia include large uncertainties. ► Impact of accelerated Asian energy demand on global mitigation costs is quite low. ► Accelerated Asian energy consumption increases GHG abatement costs in the OECD. ► 3.7 W/m 3 target is feasible in costs even with accelerated Asian energy demands. ► 2.6 W/m 2 target is beyond

  19. 77 FR 74559 - Energy Conservation Program for Consumer Products: Test Procedures for Residential Water Heaters...

    Science.gov (United States)

    2012-12-17

    ... Conservation Program for Consumer Products: Test Procedures for Residential Water Heaters, Direct Heating... Energy (DOE) is amending its test procedures for residential water heaters, direct heating equipment (DHE... necessary for residential water heaters, because the existing test procedures for those products already...

  20. Energy efficient refrigeration and flexible power consumption in a smart grid

    Energy Technology Data Exchange (ETDEWEB)

    Gybel Hovgaard, T.; Larsen, Lars F.S. (Danfoss Refrigeration and A/C Controls, Nordborg (Denmark)); Halvgaard, R.; Bagterp Joergensen, J. (Technical Univ. of Denmark (DTU). DTU Informatics, Kgs. Lyngby (Denmark))

    2011-05-15

    Refrigeration and heating systems consume substantial amounts of energy worldwide. However, due to the thermal capacity there is a potential for storing 'coldness' or heat in the system. This feature allows for implementation of different load shifting and shedding strategies in order to optimize the operation energywise, but without compromising the original cooling and indoor climate quality. In this work we investigate the potential of such a strategy and its ability to significantly lower the cost related to operating systems such as supermarket refrigeration and heat pumps for residential houses. With modern Economic Model Predictive Control (MPC) methods we make use of weather forecasts and predictions of varying electricity prices to apply more load to the system when the thermodynamic cycle is most efficient, and to consume larger shares of the electricity when the demand and thereby the prices are low. The ability to adjust power consumption according to the demands on the power grid is a highly wanted feature in a future Smart Grid. Efficient utilization of greater amounts of renewable energy calls for solutions to control the power consumption such that it increases when an energy surplus is available and decreases when there is a shortage. This should happen almost instantly to accommodate intermittent energy sources as e.g. wind turbines. We expect our power management solution to render systems with thermal storage capabilities suitable for flexible power consumption. The aggregation of several units will contribute significantly to the shedding of total electricity demand. Using small case studies we demonstrate the potential for utilizing daily variations to deliver a power efficient cooling or heating and for the implementation of Virtual Power Plants in Smart Grid scenarios. (Author)

  1. 2011 Residential Energy Efficiency Technical Update Meeting Summary Report: Denver, Colorado - August 9-11, 2011

    Energy Technology Data Exchange (ETDEWEB)

    2011-11-01

    This report provides an overview of the U.S. Department of Energy Building America program's Summer 2011 Residential Energy Efficiency Technical Update Meeting. This meeting was held on August 9-11, 2011, in Denver, Colorado, and brought together more than 290 professionals representing organizations with a vested interest in energy efficiency improvements in residential buildings.

  2. Modelling residential electricity demand in the GCC countries

    International Nuclear Information System (INIS)

    Atalla, Tarek N.; Hunt, Lester C.

    2016-01-01

    This paper aims at understanding the drivers of residential electricity demand in the Gulf Cooperation Council countries by applying the structural time series model. In addition to the economic variables of GDP and real electricity prices, the model accounts for population, weather, and a stochastic underlying energy demand trend as a proxy for efficiency and human behaviour. The resulting income and price elasticities are informative for policy makers given the paucity of previous estimates for a region with particular political structures and economies subject to large shocks. In particular, the estimates allow for a sound assessment of the impact of energy-related policies suggesting that if policy makers in the region wish to curtail future residential electricity consumption they would need to improve the efficiency of appliances and increase energy using awareness of consumers, possibly by education and marketing campaigns. Moreover, even if prices were raised the impact on curbing residential electricity growth in the region is likely to be very small given the low estimated price elasticities—unless, that is, prices were raised so high that expenditure on electricity becomes such a large proportion of income that the price elasticities increase (in absolute terms). - Highlights: • Residential electricity demand for Bahrain, Kuwait, Oman, and Saudi Arabia • Estimated residential electricity demand relationships using STSM/UEDT approach • LR income and price elasticities from 0.43 to 0.71 and − 0.16 to zero respectively • Impact CDD elasticities from 0.2 to 0.7 • Estimated UEDTs suggest exogenous electricity using behaviour.

  3. Technology line and case analysis of heat metering and energy efficiency retrofit of existing residential buildings in Northern heating areas of China

    International Nuclear Information System (INIS)

    Zhao Jing; Zhu Neng; Wu Yong

    2009-01-01

    The building area in northern heating areas accounting for 70% of the total land area in China is 6,500,000,000 m 2 . The average heating energy consumption in northern China is 100-200% times more than developed countries in the same latitude. This paper introduced firstly the heat metering and energy efficiency retrofit background of existing residential buildings in northern heating areas of China organized by mohurd and MOF, and then put forward the total principle and contents of retrofit. Through analyzing some retrofit cases in Germany, Poland and China, some technological experiences were summarized and finally a technology line suitable for heat metering and energy efficiency retrofit of existing residential buildings in northern heating areas of China which involved retrofit for heat metering and temperature regulation of heating systems, heat balance of heat source and network, and building envelope was described to provide a systematic, scientific, technological guide for the retrofit projects of 0.15 billion m 2 in 'the Eleventh Five-Year Plan' period.

  4. Does energy labelling on residential housing cause energy savings? Working paper

    Energy Technology Data Exchange (ETDEWEB)

    Kjaerbye, V.H.

    2008-12-15

    More than 80% of energy used in households is dedicated to space heating. Large potential energy savings have been identified in the existing housing stock. Energy labelling of single-family houses is seen as an important instrument to provide new house owners with information on efficient energy saving investments that can be made on the house. This paper evaluates the effects of the Danish Energy Labelling Scheme on energy consumption in existing single-family houses with propensity score matching using actual consumption of energy and register data describing the houses and households. We do not find significant energy savings due to the Danish Energy Labelling Scheme. (Author)

  5. State energy data report 1992: Consumption estimates

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-01

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  6. Assessing energy techniques and measures in residential buildings: a multidisciplinary perspective

    NARCIS (Netherlands)

    Entrop, Alexis Gerardus

    2013-01-01

    Many Energy Techniques and Measures (ETMs) are available to reduce the fossil energy use of residential buildings. However, the rate at which these ETMs are implemented is relatively low. Bram Entrop (1980) addresses, in this design-oriented research, the influence that ETMs have on the energy

  7. Energy consumption in France's industry. Conjuncture note

    International Nuclear Information System (INIS)

    2015-04-01

    Energy consumption in the industry represents today 1/5 of France's end-use energy consumption. Gas and electricity are the most consumed and represent 2/3 of the overall. The 5 most energy consuming industries are the following: paper and cardboard industry, food industry, rubber, plastic and other non-metallic mineral products industry, metallurgy and chemical industry. The reduction of the industry's energy consumption is explained by the decline of production, but above all by the energy efficiency improvement of the sector. Technological innovations in production means have indeed led to reduce energy consumption

  8. Energy consumption and stocks of energy-converting artefacts

    International Nuclear Information System (INIS)

    Bladh, Mats

    2012-01-01

    The development of total energy consumption is important in a world with limited resources. It is the result of two basic tendencies working in opposite directions: growth in number and in use (such as more cars and driving more) and improvements in energy efficiency (such as more fuel-efficient engines). Since the 1970s growth of energy consumption has slowed down in Sweden. This means that increasing supply has been counteracted by measures improving overall energy efficiency to a larger degree than before. How can long-term development in energy consumption be analysed? This paper proposes a focus on stocks of energy-converting artefacts as a tool for such analyses. In order to show the fruitfulness of this approach, historical data on cars, dwellings and lamps in Sweden are used. Results from the cases in this paper show considerable gains of efficiency in fuel consumption in private cars and heating efficiency in multi-dwelling houses. Demographic factors are important for the outcome. The approach seems to promise a way to analyse energy efficiency that captures both promoting and counteracting factors at both the micro and macro level. - Highlights: ► Growth of energy consumption slowed down in the 1970s, a break in the long-run trend. ► Balance between growth and efficiency factors changes over time and areas of use. ► Savings in heating were not taken back, while those for cars were. ► Focus on stocks of artefacts is a promising tool for analyses. ► Incremental changes within existing stocks can be as big as radical changes.

  9. Targeting energy justice: Exploring spatial, racial/ethnic and socioeconomic disparities in urban residential heating energy efficiency

    International Nuclear Information System (INIS)

    Reames, Tony Gerard

    2016-01-01

    Fuel poverty, the inability of households to afford adequate energy services, such as heating, is a major energy justice concern. Increasing residential energy efficiency is a strategic fuel poverty intervention. However, the absence of easily accessible household energy data impedes effective targeting of energy efficiency programs. This paper uses publicly available data, bottom-up modeling and small-area estimation techniques to predict the mean census block group residential heating energy use intensity (EUI), an energy efficiency proxy, in Kansas City, Missouri. Results mapped using geographic information systems (GIS) and statistical analysis, show disparities in the relationship between heating EUI and spatial, racial/ethnic, and socioeconomic block group characteristics. Block groups with lower median incomes, a greater percentage of households below poverty, a greater percentage of racial/ethnic minority headed-households, and a larger percentage of adults with less than a high school education were, on average, less energy efficient (higher EUIs). Results also imply that racial segregation, which continues to influence urban housing choices, exposes Black and Hispanic households to increased fuel poverty vulnerability. Lastly, the spatial concentration and demographics of vulnerable block groups suggest proactive, area- and community-based targeting of energy efficiency assistance programs may be more effective than existing self-referral approaches. - Highlights: • Develops statistical model to predict block group (BG) residential heating energy use intensity (EUI), an energy efficiency proxy. • Bivariate and multivariate analyses explore racial/ethnic and socioeconomic relationships with heating EUI. • BGs with more racial/ethnic minority households had higher heating EUI. • BGs with lower socioeconomics had higher heating EUI. • Mapping heating EUI can facilitate effective energy efficiency intervention targeting.

  10. Predicting summer residential electricity demand across the U.S.A using climate information

    Science.gov (United States)

    Sun, X.; Wang, S.; Lall, U.

    2017-12-01

    We developed a Bayesian Hierarchical model to predict monthly residential per capita electricity consumption at the state level across the USA using climate information. The summer period was selected since cooling requirements may be directly associated with electricity use, while for winter a mix of energy sources may be used to meet heating needs. Historical monthly electricity consumption data from 1990 to 2013 were used to build a predictive model with a set of corresponding climate and non-climate covariates. A clustering analysis was performed first to identify groups of states that had similar temporal patterns for the cooling degree days of each state. Then, a partial pooling model was applied to each cluster to assess the sensitivity of monthly per capita residential electricity demand to each predictor (including cooling-degree-days, gross domestic product (GDP) per capita, per capita electricity demand of previous month and previous year, and the residential electricity price). The sensitivity of residential electricity to cooling-degree-days has an identifiable geographic distribution with higher values in northeastern United States.

  11. Associations between residential traffic noise exposure and smoking habits and alcohol consumption-A population-based study.

    Science.gov (United States)

    Roswall, Nina; Christensen, Jeppe Schultz; Bidstrup, Pernille Envold; Raaschou-Nielsen, Ole; Jensen, Steen Solvang; Tjønneland, Anne; Sørensen, Mette

    2018-05-01

    Traffic noise stresses and disturbs sleep. It has been associated with various diseases, and has recently also been associated with lifestyle. Hence, the association between traffic noise and disease could partly operate via a pathway of lifestyle habits, including smoking and alcohol intake. We investigated associations between modelled residential traffic noise and smoking habits and alcohol consumption. In a cohort of 57,053 participants, we performed cross-sectional analyses using data from a baseline questionnaire (1993-97), and longitudinal analyses of change between baseline and follow-up (2000-02). Smoking status (never, former, current) and intensity (tobacco, g/day) and alcohol consumption (g/day) was self-reported at baseline and follow-up. Address history from 1987-2002 for all participants were found in national registries, and road traffic and railway noise was modelled 1 and 5 years before enrolment, and from baseline to follow-up. Analyses were performed using logistic and linear regression, and adjusted for demographics, socioeconomic variables, leisure-time sports, and noise from the opposite source (road/railway). Road traffic noise exposure 5 years before baseline was positively associated with alcohol consumption (adjusted difference per 10 dB: 1.38 g/day, 95% confidence interval (CI): 1.10-1.65), smoking intensity (adjusted difference per 10 dB: 0.40 g/day, 95% CI: 0.19-0.61), and odds for being a current vs. never/former smoker at baseline (odds ratio (OR): 1.14; 95% CI: 1.10-1.17). In longitudinal analyses, we found no association between road traffic noise and change in smoking and alcohol habits. Railway noise was not associated with smoking habits and alcohol consumption, neither in cross-sectional nor in longitudinal analyses. The study suggests that long-term exposure to residential road traffic is associated with smoking habits and alcohol consumption, albeit only in cross-sectional, but not in longitudinal analyses. Copyright

  12. Energy consumption projection of Nepal: An econometric approach

    DEFF Research Database (Denmark)

    Parajuli, Ranjan; Østergaard, Poul A.; Dalgaard, Tommy

    2014-01-01

    In energy dependent economies, energy consumption is often linked with the growth in Gross Domestic Product (GDP). Energy intensity, defined herewith, as the ratio of the total primary energy consumption (TPE) to the GDP, is a useful concept for understanding the relation between energy demand...... and economic development. The scope of this article is to assess the future primary energy consumption of Nepal, and the projection is carried out along with the formulation of simple linear logarithmic energy consumption models. This initiates with a hypothesis that energy consumption is dependent...... with the national macro-economic parameters. To test the hypothesis, nexus between energy consumption and possible determinant variables are examined. Status of energy consumption between the period of 1996 and 2009, and for the same period, growth of economic parameters are assessed. Three scenarios are developed...

  13. Leverage of Behavioural Patterns of Window Opening and Heating Set Point Adjustments on Energy Consumption and Thermal Comfort in Residential Buildings

    DEFF Research Database (Denmark)

    Corgnati, Stefano Paolo; D'Oca, Simona; Fabi, Valentina

    2014-01-01

    The current trend in reduction in energy use in buildings is oriented towards sustainable measures and techniques aimed to energy need restraint. Even so, studies have underlined large differences in energy consumption in similar buildings, suggesting strong influence of occupant behaviour...... through a better and more accurate prediction of energy use; however, they are still unable to replicate the actual dynamics that govern energy uses within buildings. Furthermore, occupant behaviour is currently described by static profiles, based on assumptions and average values of typical behaviour......, considering different behavioural patterns and preferences among indoor environmental quality, is arising. Final goal of this research is to simulate, in a more accurate way, the variation in actual energy consumption due to human interaction within buildings. In this effort, the study has highlighted which...

  14. Green signalling effects in the market for energy-efficient residential buildings

    International Nuclear Information System (INIS)

    Fuerst, Franz; Oikarinen, Elias; Harjunen, Oskari

    2016-01-01

    Highlights: • Energy efficiency (EE) levels are hypothesised to affect house transaction prices. • We estimate a hedonic model using Energy Performance Certificates from Finland. • A price premium is found for the most energy-efficient properties. • The empirical results are suggestive of a green signalling effect. • Demand for EE high performers appears to be segmented from lower tiers. - Abstract: Empirical evidence from recent studies suggests that the price premium on energy-efficient buildings is potentially higher than the pure capitalisation of energy savings but the empirical evidence on the size of the non-savings components is scant. This study aims to fill this research gap by investigating whether the mandatory energy efficiency ratings for residential properties imply benefits that go beyond energy savings. Using a sample of several thousand apartment transactions from Helsinki, Finland, we first test if higher ratings were significantly associated with higher prices. In addition to a large number of property and neighbourhood characteristics, this dataset contains information on building-level energy usage which allows us to distinguish between the cost savings effect of energy consumption and the value of more intangible factors associated with the energy label. The hedonic model yields a statistically significant 3.3% price premium for apartments in the top three energy-efficiency categories and 1.5% when a set of detailed neighbourhood characteristics are included. When maintenance costs containing energy usage costs are added, a robust and significant price premium of 1.3% persists whereas no differentiation is found for the medium and lower rating categories. These findings may be indicative of energy-efficient buildings having signalling value – and therefore an additional incentive to invest in such buildings – for ‘green’ consumers. However, a favourable energy rating did not appear to speed up the sales process in the

  15. A methodology for energy performance classification of residential building stock of Hamirpur

    Directory of Open Access Journals (Sweden)

    Aniket Sharma

    2017-12-01

    Full Text Available In India, there are various codes, standards, guidelines and rating systems launched to make energy intensive and large sized buildings energy efficient whereas independent residential buildings are not covered even though they exist most in numbers of total housing stock. This paper presents a case study methodology for energy performance assessment of existing residential stock of Hamirpur that can be used to develop suitable energy efficiency regulations. The paper discusses the trend of residential development in Hamirpur followed by classification based on usage, condition, predominant material use, ownership size and number of rooms, source of lighting, assets available, number of storey and plot sizes using primary and secondary data. It results in identification of predominant materials used and other characteristics in each of urban and rural area. Further cradle to site embodied energy index of various dominant building materials and their market available alternative materials is calculated from secondary literature and by calculating transportation energy. One representative existing building is selected in each of urban and rural area and their energy performance is evaluated for material embodied energy and operational energy using simulation. Further alternatives are developed based on other dominant materials in each area and evaluated for change in embodied and operational energy. This paper identifies the energy performance of representative houses for both areas and in no way advocates the preference of one type over another. The paper demonstrates a methodology by which energy performance assessment of houses shall be done and also highlights further research.

  16. Dynamic integration of residential building design and green energies : the Bireth approach : building integrated renewable energy total harvest approach

    Energy Technology Data Exchange (ETDEWEB)

    Cheung, K.P. [Hong Kong Univ., Hong Kong (China). Dept. of Architecture; Luk, C.L.P. [Chu Hai College of Higher Education, Hong Kong (China). Dept. of Architecture; Wong, S.T. [Hong Kong Univ., Hong Kong (China). Div. of Arts and Humanities, SPACE; Chung, S.L.; Fung, K.S.; Leung, M.F. [Hong Kong Inst. of Vocational Education, Hong Kong (China)

    2006-07-01

    Renewable energy sources that are commonly used in buildings include solar energy, wind energy and rainwater collection. High quality environmentally responsive residential buildings are designed to provide good insulation in winter and solar shading in summer. However, this study demonstrated that the green energy design in residential buildings is not usually well integrated. For example, windows with clear double or triple glazed glass, allow good penetration of sunlight during the day in winter, but are not further dynamically insulated for when the sun goes down to avoid heat loss from the building. Additionally, good solar static shading devices often block much needed daylight on cloudy winter days. These examples emphasize the lack of an integrated approach to gain the best advantage of green energies and to minimize energy costs in residential buildings. This study addressed issues facing the integrated approach with particular reference to the design of a small residential building in rural Beijing. The design included a new approach for interpreting a traditional Beijing court yard house in the modern Beijing rural context, while integrating multi-responding innovative green energy applications derived from first principles. This paper also presented a proposal for a village house in Hong Kong to harvest as much renewable energies as possible, primarily wind energy and solar energy, that come into contact with the building. The purpose was to work towards a renewable energy approach for buildings, namely the Bireth approach, which will benefit practically all houses by making them zero energy houses. The paper described the feasibility of integrating renewable energies in buildings to fulfill performance requirements such improving ventilation, providing warm interiors, drying clothes, or storing solar and wind energies into power batteries. The challenges facing the development of a proposed micro solar hot air turbine were also presented. 15 refs., 6

  17. Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings

    Energy Technology Data Exchange (ETDEWEB)

    Garbesi, Karina; Vossos, Vagelis; Sanstad, Alan; Burch, Gabriel

    2011-10-13

    An increasing number of energy efficient appliances operate on direct current (DC) internally, offering the potential to use DC from renewable energy systems directly and avoiding the losses inherent in converting power to alternating current (AC) and back. This paper investigates that potential for net-metered residences with on-site photovoltaics (PV) by modeling the net power draw of the ‘direct-DC house’ with respect to today’s typical configuration, assuming identical DC-internal loads. Power draws were modeled for houses in 14 U.S. cities, using hourly, simulated PV-system output and residential loads. The latter were adjusted to reflect a 33% load reduction, representative of the most efficient DC-internal technology, based on an analysis of 32 electricity end-uses. The model tested the effect of climate, electric vehicle (EV) loads, electricity storage, and load shifting on electricity savings; a sensitivity analysis was conducted to determine how future changes in the efficiencies of power system components might affect savings potential. Based on this work, we estimate that net-metered PV residences could save 5% of their total electricity load for houses without storage and 14% for houses with storage. Based on residential PV penetration projections for year 2035 obtained from the National Energy Modeling System (2.7% for the reference case and 11.2% for the extended policy case), direct-DC could save the nation 10 trillion Btu (without storage) or 40 trillion Btu (with storage). Shifting the cooling load by two hours earlier in the day (pre-cooling) has negligible benefits for energy savings. Direct-DC provides no energy savings benefits for EV charging, to the extent that charging occurs at night. However, if charging occurred during the day, for example with employees charging while at work, the benefits would be large. Direct-DC energy savings are sensitive to power system and appliance conversion efficiencies but are not significantly

  18. A District Approach to Building Renovation for the Integral Energy Redevelopment of Existing Residential Areas

    Directory of Open Access Journals (Sweden)

    Mira Conci

    2017-05-01

    Full Text Available Building energy renovation quotas are not currently being met due to unfavorable conditions such as complex building regulations, limited investment incentives, historical preservation priorities, and technical limitations. The traditional strategy has been to incrementally lower the energy consumption of the building stock, instead of raising the efficiency of the energy supply through a broader use of renewable sources. This strategy requires an integral redefinition of the approach to energy building renovations. The joint project SWIVT elaborates on a district redevelopment strategy that combines a reduction in the energy demand of existing buildings and their physical interconnection within a local micro-grid and heating network. The district is equipped with energy generation and distribution technologies as well as hybrid thermal and electrical energy storage systems, steered by an optimizing energy management controller. This strategy is explored through three scenarios designed for an existing residential area in Darmstadt, Germany, and benchmarked against measured data. Presented findings show that a total primary energy balance at least 30% lower than that of a standard building renovation can be achieved by a cluster of buildings with different thermal qualities and connected energy generation, conversion, and storage systems, with only minimal physical intervention to existing buildings.

  19. Predicting residential energy and water demand using publicly available data

    International Nuclear Information System (INIS)

    Hoşgör, Enes; Fischbeck, Paul S.

    2015-01-01

    Highlights: • We built regression models using publicly available data as independent variables. • These models were used to predict monthly utility usage. • Such models can empower demand-side management program design, implementation and evaluation. • As well as planning for changes in energy and water demand. - Abstract: The overarching objective behind this work is to merge publicly available data with utility consumption histories and extract statistically significant insight on utility usage for a group of houses (n = 7022) in Gainesville, USA. This study investigates the statistical descriptive power of publicly available information for modeling utility usage. We first examine the deviations that arise from monthly utility usage reading dates as reading dates tend to shift and reading periods tend to vary across different months. Then we run regression models for individual months which in turn we compare to a yearly regression model which accounts for months as a dummy variable to understand whether a monthly model or a yearly model has a larger statistical power. It is shown that publicly available data can be used to model residential utility usage in the absence of highly private utility data. The obtained results are helpful for utilities for two reasons: (1) using the models to predict the monthly changes in demand; and (2) predicting utility usage can be translated into energy-use intensity as a first-cut metric for energy efficiency targeting in their service territory to meet their state demand reduction targets

  20. Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts

    International Nuclear Information System (INIS)

    Fonseca, Jimeno A.; Schlueter, Arno

    2015-01-01

    Highlights: • A model to describe spatiotemporal building energy demand patterns was developed. • The model integrates existing methods in urban and energy planning domains. • The model is useful to analyze energy efficiency strategies in neighborhoods. • Applicability in educational, urban and energy planning practices was found. - Abstract: We introduce an integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts. The model addresses the need for a comprehensive method to identify present and potential states of building energy consumption in the context of urban transformation. The focus lies on determining the spatiotemporal variability of energy services in both standing and future buildings in the residential, commercial and industrial sectors. This detailed characterization facilitates the assessment of potential energy efficiency measures at the neighborhood and city district scales. In a novel approach we integrated existing methods in urban and energy planning domains such as spatial analysis, dynamic building energy modeling and energy mapping to provide a comprehensive, multi-scale and multi-dimensional model of analysis. The model is part of a geographic information system (GIS), which serves as a platform for the allocation and future dissemination of spatiotemporal data. The model is validated against measured data and a peer model for a city district in Switzerland. In this context, we present practical applications in the analysis of energy efficiency measures in buildings and urban zoning. We furthermore discuss potential applications in educational, urban and energy planning practices

  1. Optimal Sizing of Decentralized Photovoltaic Generation and Energy Storage Units for Malaysia Residential Household Using Iterative Method

    Directory of Open Access Journals (Sweden)

    Rahman Hasimah Abdul

    2016-01-01

    Full Text Available World’s fuel sources are decreasing, and global warming phenomena cause the necessity of urgent search for alternative energy sources. Photovoltaic generating system has a high potential, since it is clean, environmental friendly and secure energy sources. This paper presents an optimal sizing of decentralized photovoltaic system and electrical energy storage for a residential household using iterative method. The cost of energy, payback period, degree of autonomy and degree of own-consumption are defined as optimization parameters. A case study is conducted by employing Kuala Lumpur meteorological data, typical load profile from rural area in Malaysia, decentralized photovoltaic generation unit and electrical storage and it is analyzed in hourly basis. An iterative method is used with photovoltaic array variable from 0.1kW to 4.0kW and storage system variable from 50Ah to 400Ah was performed to determine the optimal design for the proposed system.

  2. Energy Beverage Consumption Among Naval Aviation Candidates.

    Science.gov (United States)

    Sather, Thomas E; Delorey, Donald R

    2016-06-01

    Since the debut of energy beverages, the consumption of energy beverages has been immensely popular with young adults. Research regarding energy beverage consumption has included college students, European Union residents, and U.S. Army military personnel. However, energy beverage consumption among naval aviation candidates in the United States has yet to be examined. The purpose of this study was to assess energy beverage consumption patterns (frequency and volume) among naval aviation candidates, including attitudes and perceptions regarding the benefits and safety of energy beverage consumption. A 44-item survey was used to assess energy beverage consumption patterns of 302 students enrolled in the Aviation Preflight Indoctrination Course at Naval Air Station Pensacola, FL. Results indicated that 79% of participants (N = 239) reported consuming energy beverages within the last year. However, of those who reported consuming energy beverages within the last year, only 36% (N = 85) reported consuming energy beverages within the last 30 d. Additionally, 51% (N = 153) of participants reported no regular energy beverages consumption. The majority of participants consumed energy beverages for mental alertness (67%), mental endurance (37%), and physical endurance (12%). The most reported side effects among participants included increased mental alertness (67%), increased heart rate (53%), and restlessness (41%). Naval aviation candidates appear to use energy drinks as frequently as a college student population, but less frequently than expected for an active duty military population. The findings of this study indicate that naval aviation candidates rarely use energy beverages (less than once per month), but when consumed, they use it for fatigue management.

  3. Residential electricity demand in Singapore

    International Nuclear Information System (INIS)

    Ang, B.W.; Goh, T.N.; Liu, X.Q.

    1992-01-01

    Residential electricity consumption in Singapore increased at a rate of 8.8% per year between 1972 and 1990. Estimates of the long-run income and price elasticities are 1.0 and -0.35, respectively. The energy-conservation campaigns that have been launched are found to have marginal effects on consumption. A statistical analysis shows that the consumption is sensitive to small changes in climatic variables, particularly the temperature, which is closely linked to the growing diffusion of electric appliances for environmental controls. There has been a temporal increase in the ownership levels of appliances associated with increasing household incomes. However, other factors were involved since the ownership levels would also increase over time after the elimination of the income effect. A large part of the future growth in electricity demand will arise from the growing need for air-conditioning, which will lead to increasingly large seasonal variations in electricity use. (author)

  4. BUILDING DESIGN INFLUENCE ON THE ENERGY PERFORMANCE

    Directory of Open Access Journals (Sweden)

    Moga Ligia

    2015-05-01

    Full Text Available Energy efficient design is a high priority in the national energy strategy of European countries considering the latest requirements of the European Directive on the Energy Performance of Buildings. The residential sector is responsible for a significant quantity of energy consumptions from the total amount of consumptions on a worldwide level. In residential building most of the energy consumptions are given mainly by heating, domestic hot water and lighting. Retrofitting the existing building stock offers great opportunities for reducing global energy consumptions and greenhouse gas emissions. The first part of the paper will address the need of thermal and energy retrofit of existing buildings. The second part will provide an overview on how various variables can influence the energy performance of a building that is placed in all four climatic zones from Romania. The paper is useful for specialist and designers from the construction field in understanding that buildings behave differently from the energy point of view in different climatic regions, even if the building characteristic remain the same.

  5. Estimating the Determinants of Residential Water Demand in Italy

    Directory of Open Access Journals (Sweden)

    Giulia Romano

    2014-09-01

    Full Text Available The aim of this study was to estimate the determinants of residential water demand for chief towns of every Italian province, in the period 2007–2009, using the linear mixed-effects model estimated with the restricted-maximum-likelihood method. Results confirmed that the applied tariff had a negative effect on residential water consumption and that it was a relevant driver of domestic water consumption. Moreover, income per capita had a positive effect on water consumption. Among measured climatic and geographical features, precipitation and altitude exerted a strongly significant negative effect on water consumption, while temperature did not influence water demand. Further, data show that small towns in terms of population served were characterized by lower levels of consumption. Water utilities ownership itself did not have a significant effect on water consumption but tariffs were significantly lower and residential water consumption was higher in towns where the water service was managed by publicly owned water utilities. However, further research is needed to gain a better understanding of the connection between ownership of water utilities and water prices and water consumption.

  6. Uncertainty analysis of energy consumption in dwellings

    Energy Technology Data Exchange (ETDEWEB)

    Pettersen, Trine Dyrstad

    1997-12-31

    This thesis presents a comprehensive study of an energy estimation model that can be used to examine the uncertainty of predicted energy consumption in a dwelling. The variation and uncertainty of input parameters due to the outdoor climate, the building construction and the inhabitants are studied as a basis for further energy evaluations. The occurring variations of energy consumption in nominal similar dwellings are also investigated due to verification of the simulated energy consumption. The main topics are (1) a study of expected variations and uncertainties in both input parameters used in energy consumption calculations and the energy consumption in the dwelling, (2) the development and evaluation of a simplified energy calculation model that considers uncertainties due to the input parameters, (3) an evaluation of the influence of the uncertain parameters on the total variation so that the most important parameters can be identified, and (4) the recommendation of a simplified procedure for treating uncertainties or possible deviations from average conditions. 90 refs., 182 figs., 73 tabs.

  7. Real-Time Energy Management System for a Hybrid AC/DC Residential Microgrid

    DEFF Research Database (Denmark)

    Diaz, Enrique Rodriguez; Palacios-Garcia, Emilio J.; Anvari-Moghaddam, Amjad

    2017-01-01

    This paper proposes real-time Energy Management System (EMS) for a residential hybrid ac/dc microgrid. The residential microgrid is organized in two different distribution systems. A dc distribution bus which interconnect the renewable energy sources (RES), energy storage systems (ESS...... buildings. This architecture increases the overall efficiency of the distribution by interconnecting the RES and ESS thorough a dc distribution bus, and therefore avoiding unnecessary dc/ac conversion stages. The real-time EMS performs an 24 hours ahead optimization in order to schedule the charge...... setup. The results shown how the operational costs of the system are effectively decreased by 28%, even with non-accurate estimation of the RES generation or building parameters....

  8. Market influence on the low carbon energy refurbishment of existing multi-residential buildings

    International Nuclear Information System (INIS)

    Atkinson, Jonathan G.B.; Jackson, Tim; Mullings-Smith, Elizabeth

    2009-01-01

    This paper explores the relationship between the energy market; the political and regulatory context; and energy design decisions for existing multi-residential buildings, to determine what form the energy market landscape would take if tailored to encourage low carbon solutions. The links between market dynamics, Government strategies, and building designs are mapped to understand the steps that achieve carbon reduction from building operation. This is achieved using a model that takes financial and energy components with market and design variables to provide net present cost and annual carbon outputs. The financial component applies discounted cash flow analysis over the building lifespan, with discount rates reflecting contractual characteristics; the carbon component uses Standard Assessment Procedure (SAP) 2005. A scenario approach is adopted to test alternative strategies selected to encourage low carbon solutions in two residential and two office designs. The results show that the forward assumption of energy price escalation is the most influential factor on energy investment, together with the expected differentiation between the escalation of gas and electricity prices. Using this, and other influencing factors, the research reveals trends and strategies that will achieve mainstream application of energy efficiency and microgeneration technologies, and reduce carbon emissions in the existing multi-residential sector.

  9. Energy Resources Consumption Minimization in Housing Construction

    Directory of Open Access Journals (Sweden)

    Balastov Alexey

    2017-01-01

    Full Text Available The article deals with the energy savings analysis during operation of buildings, provides the heat balance of residential premises, considers options for energy-efficient solutions for hot water supply systems in buildings. As technical facilities that allow the use of secondary heat sources and solar energy, there are also considered the systems with heat recovery of “gray” wastewater, heat pumps, solar collectors and photoelectric converters.

  10. Energy sustainability: consumption, efficiency, and ...

    Science.gov (United States)

    One of the critical challenges in achieving sustainability is finding a way to meet the energy consumption needs of a growing population in the face of increasing economic prosperity and finite resources. According to ecological footprint computations, the global resource consumption began exceeding planetary supply in 1977 and by 2030, global energy demand, population, and gross domestic product are projected to greatly increase over 1977 levels. With the aim of finding sustainable energy solutions, we present a simple yet rigorous procedure for assessing and counterbalancing the relationship between energy demand, environmental impact, population, GDP, and energy efficiency. Our analyses indicated that infeasible increases in energy efficiency (over 100 %) would be required by 2030 to return to 1977 environmental impact levels and annual reductions (2 and 3 %) in energy demand resulted in physical, yet impractical requirements; hence, a combination of policy and technology approaches is needed to tackle this critical challenge. This work emphasizes the difficulty in moving toward energy sustainability and helps to frame possible solutions useful for policy and management. Based on projected energy consumption, environmental impact, human population, gross domestic product (GDP), and energy efficiency, for this study, we explore the increase in energy-use efficiency and the decrease in energy use intensity required to achieve sustainable environmental impact le

  11. Hypercoagulability after energy drink consumption.

    Science.gov (United States)

    Pommerening, Matthew J; Cardenas, Jessica C; Radwan, Zayde A; Wade, Charles E; Holcomb, John B; Cotton, Bryan A

    2015-12-01

    Energy drink consumption in the United States has more than doubled over the last decade and has been implicated in cardiac arrhythmias, myocardial infarction, and even sudden cardiac death. We hypothesized that energy drink consumption may increase the risk of adverse cardiovascular events by increasing platelet aggregation, thereby resulting in a relatively hypercoagulable state and increased risk of thrombosis. Thirty-two healthy volunteers aged 18-40 y were given 16 oz of bottled water or a standardized, sugar-free energy drink on two separate occasions, 1-wk apart. Beverages were consumed after an overnight fast over a 30-min period. Coagulation parameters and platelet function were measured before and 60 min after consumption using thrombelastography and impedance aggregometry. No statistically significant differences in coagulation were detected using kaolin or rapid thrombelastography. In addition, no differences in platelet aggregation were detected using ristocetin, collagen, thrombin receptor-activating peptide, or adenosine diphosphate-induced multiple impedance aggregometry. However, compared to water controls, energy drink consumption resulted in a significant increase in platelet aggregation via arachidonic acid-induced activation (area under the aggregation curve, 72.4 U versus 66.3 U; P = 0.018). Energy drinks are associated with increased platelet activity via arachidonic acid-induced platelet aggregation within 1 h of consumption. Although larger clinical studies are needed to further address the safety and health concerns of these drinks, the increased platelet response may provide a mechanism by which energy drinks increase the risk of adverse cardiovascular events. Copyright © 2015 Elsevier Inc. All rights reserved.

  12. Energy Threshold Hypothesis for Household Consumption

    International Nuclear Information System (INIS)

    Ortiz, Samira; Castro-Sitiriche, Marcel; Amador, Isamar

    2017-01-01

    A strong positive relationship among quality of life and electricity consumption at impoverished countries is found in many studies. However, previous work has presented that the positive relationship does not hold beyond certain electricity consumption threshold. Consequently, there is a need of exploring the possibility for communities to live with sustainable level of energy consumption without sacrificing their quality of life. The Gallup-Healthways Report measures global citizen’s wellbeing. This paper provides a new outlook using these elements to explore the relationships among actual percentage of population thriving in most countries and their energy consumption. A measurement of efficiency is computed to determine an adjusted relative social value of energy considering the variability in the happy life years as a function of electric power consumption. Adjustment is performed so single components don’t dominate in the measurement. It is interesting to note that the countries with the highest relative social value of energy are in the top 10 countries of the Gallup report.

  13. Energy consumptions of households in 2012

    International Nuclear Information System (INIS)

    Denjean, Mathias

    2015-06-01

    Based on results of a survey, this publication comments data presented under the form of tables and graphs and related to the energy consumption by French households during 2012. It addresses expenses and consumptions for individual housing and for a flat in collective building, analyses the energy consumption with respect to surface in the case of individual housing, discusses the influence of dwelling age on consumption, the influence of geographical location in France, the influence o the residence status (owner or renter), and the influence of dwelling occupation (hours per day), and the distribution of the type of consumed energy (electricity, gas, oil, LPG, wood, other) and the money spent on these different energies. The type of energy is also related to the residence status, to the housing type (house or flat), to the flat surface, to the housing type and age, to the geographical location

  14. Development of residential-conservation-survey methodology for the US Air Force. Interim report. Task two

    Energy Technology Data Exchange (ETDEWEB)

    Abrams, D. W.; Hartman, T. L.; Lau, A. S.

    1981-11-13

    A US Air Force (USAF) Residential Energy Conservation Methodology was developed to compare USAF needs and available data to the procedures of the Residential Conservation Service (RCS) program as developed for general use by utility companies serving civilian customers. Attention was given to the data implications related to group housing, climatic data requirements, life-cycle cost analysis, energy saving modifications beyond those covered by RCS, and methods for utilizing existing energy consumption data in approaching the USAF survey program. Detailed information and summaries are given on the five subtasks of the program. Energy conservation alternatives are listed and the basic analysis techniques to be used in evaluating their thermal performane are described. (MCW)

  15. Energy and exergy utilizations of the Chinese urban residential sector

    International Nuclear Information System (INIS)

    Liu, Yanfeng; Li, Yang; Wang, Dengjia; Liu, Jiaping

    2014-01-01

    Highlights: • The energy and exergy use in China’s urban residential sector between 2002 and 2011 are analyzed. • The primary locations and causes of energy and exergy losses in the CURS are identified. • The large gap between the energy and exergy efficiencies implies great potential for energy saving. • The exergy utilization can be improved by using appropriate technology, management and policy. - Abstract: In this paper, the energy and exergy utilizations in the Chinese urban residential sector (CURS) are analyzed by considering the energy and exergy flows for the years between 2002 and 2011. The energy and exergy efficiencies of this sector are calculated to examine the potential for advancing the ‘true’ energy efficiency and determine the real energy losses. The results demonstrate large differences between the overall energy efficiencies (62.8–70.2%) and the exergy efficiencies (11.0–12.2%) for the years analyzed. The sizable gap between the energy and exergy efficiencies implies a high potential for energy savings in the CURS. Future energy saving strategies should pay more attention to the improvement in exergy efficiencies. Moreover, it is found that direct fuel use constituted the primary exergy losses of the CURS; coal-fired boiler heating systems cause approximately 35% of the total exergy losses. Gas stoves, cogeneration systems, coal stoves and gas water heaters constitute 15.3%, 15%, 5.5% and 4.9% of the total exergy losses, respectively

  16. Analysis of Installed Measures and Energy Savings for Single-Family Residential Better Buildings Projects

    Energy Technology Data Exchange (ETDEWEB)

    Heaney, M. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Polly, B. [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2015-04-30

    This report presents an analysis of data for residential single-family projects reported by 37 organizations that were awarded federal financial assistance (cooperative agreements or grants) by the U.S. Department of Energy’s Better Buildings Neighborhood Program.1 The report characterizes the energy-efficiency measures installed for single-family residential projects and analyzes energy savings and savings prediction accuracy for measures installed in a subset of those projects.

  17. Energy balances (1970 to 1990)

    International Nuclear Information System (INIS)

    1992-01-01

    Annual statistical data on french energy economy are presented for 1990. Consumption evolution of the principal users (industry, residential, transport and agriculture) during the last 21 years is made energy by energy (coal, petroleum, gas, electricity and renewable energy)

  18. Energy consumption and economic growth on the focus on nuclear energy

    Energy Technology Data Exchange (ETDEWEB)

    Ozkan, Filiz [Sakarya Univ., Sakarya (Turkey). Dept. of Financial Econometric; Pektas, Ali Osman [Bahcesehir Univ., Istanbul (Turkey). Dept. of Civil Engineering; Ozkan, Omer [Istanbul Medeniyet Univ. (Turkey). Dept. of Civil Engineering

    2017-01-15

    Since the quest for global and personal prosperity, the drive to eradicate poverty and the motivation to ensure sustainability for the world are collectively dependent on a supply of safe, emissions-free power there are many studies in literature focuses on the relationship between economic growth and energy consumption. This study tries to enlarge the dimensions of these researches by using a large dataset. The second aim of this study is to focus on Nuclear energy consumption. According to the empirical results of the study, Energy consumption is found as co-integrated with the GDP in all 55 countries. There exist bidirectional causality between nuclear, renewable energy consumption and the GDP. Additionally, the unidirectional causality extends from economic growth to hydroelectric, petroleum, coal and total energy consumption.

  19. Energy consumption and economic growth on the focus on nuclear energy

    International Nuclear Information System (INIS)

    Ozkan, Filiz; Pektas, Ali Osman; Ozkan, Omer

    2017-01-01

    Since the quest for global and personal prosperity, the drive to eradicate poverty and the motivation to ensure sustainability for the world are collectively dependent on a supply of safe, emissions-free power there are many studies in literature focuses on the relationship between economic growth and energy consumption. This study tries to enlarge the dimensions of these researches by using a large dataset. The second aim of this study is to focus on Nuclear energy consumption. According to the empirical results of the study, Energy consumption is found as co-integrated with the GDP in all 55 countries. There exist bidirectional causality between nuclear, renewable energy consumption and the GDP. Additionally, the unidirectional causality extends from economic growth to hydroelectric, petroleum, coal and total energy consumption.

  20. An econometric analysis of residential consumption of fuelwood in a mountainous prefecture of Northern Greece

    International Nuclear Information System (INIS)

    Arabatzis, G.; Malesios, Ch.

    2011-01-01

    Biomass is a renewable energy source of increasing importance, especially since the energy policies of countries today are largely focused on renewable energy. It is a renewable energy source with significant potential to contribute to the energy needs of modern society, both for developing and developed countries around the world. One very important source of biomass is wood and fuelwood in particular. This article aims at providing an empirical analysis of household fuelwood consumption and the determinants of the choice to use the specific energy for heating and cooking in a district of Northern Greece. In the current empirical analysis several household fuelwood consumption models are employed, such as GLM, Tobit and Heckman regression-based techniques. The results show that household sociological and economical characteristics as well as more general environmental issues are suitable to explain differences towards fuelwood consumption for space heating and cooking. We additionally evaluate the household fuelwood consumption for heating through the statistical analyses conducted. - Highlights: ► In this study we provide an empirical analysis of household fuel wood consumption. ► Determinants of the choice of specific energy for heating/cooking in Northern Greece are examined. ► Several household fuelwood consumption models are employed (GLM, Tobit and Heckman). ► Household's sociological/economical characteristics are suitable to explain fuel wood consumption. ► Also more general environmental issues explain differences towards fuel wood consumption.

  1. Mining residential water and electricity demand data in Southern California to inform demand management strategies

    Science.gov (United States)

    Cominola, A.; Spang, E. S.; Giuliani, M.; Castelletti, A.; Loge, F. J.; Lund, J. R.

    2016-12-01

    Demand side management strategies are key to meet future water and energy demands in urban contexts, promote water and energy efficiency in the residential sector, provide customized services and communications to consumers, and reduce utilities' costs. Smart metering technologies allow gathering high temporal and spatial resolution water and energy consumption data and support the development of data-driven models of consumers' behavior. Modelling and predicting resource consumption behavior is essential to inform demand management. Yet, analyzing big, smart metered, databases requires proper data mining and modelling techniques, in order to extract useful information supporting decision makers to spot end uses towards which water and energy efficiency or conservation efforts should be prioritized. In this study, we consider the following research questions: (i) how is it possible to extract representative consumers' personalities out of big smart metered water and energy data? (ii) are residential water and energy consumption profiles interconnected? (iii) Can we design customized water and energy demand management strategies based on the knowledge of water- energy demand profiles and other user-specific psychographic information? To address the above research questions, we contribute a data-driven approach to identify and model routines in water and energy consumers' behavior. We propose a novel customer segmentation procedure based on data-mining techniques. Our procedure consists of three steps: (i) extraction of typical water-energy consumption profiles for each household, (ii) profiles clustering based on their similarity, and (iii) evaluation of the influence of candidate explanatory variables on the identified clusters. The approach is tested onto a dataset of smart metered water and energy consumption data from over 1000 households in South California. Our methodology allows identifying heterogeneous groups of consumers from the studied sample, as well as

  2. Energy catastrophes and energy consumption

    International Nuclear Information System (INIS)

    Davis, G.

    1991-01-01

    The possibility of energy catastrophes in the production of energy serves to make estimation of the true social costs of energy production difficult. As a result, there is a distinct possibility that the private marginal cost curve of energy producers lies to the left or right of the true cost curve. If so, social welfare will not be maximized, and underconsumption or overconsumption of fuels will exist. The occurrence of energy catastrophes and observance of the market reaction to these occurrences indicates that overconsumption of energy has been the case in the past. Postulations as to market reactions to further energy catastrophes lead to the presumption that energy consumption levels remain above those that are socially optimal

  3. Energy in China: Coping with increasing demand

    International Nuclear Information System (INIS)

    Sandklef, Kristina

    2004-11-01

    Sustaining the increasing energy consumption is crucial to future economic growth in China. This report focuses on the current and future situation of energy production and consumption in China and how China is coping with its increasing domestic energy demand. Today, coal is the most important energy resource, followed by oil and hydropower. Most energy resources are located in the inland, whereas the main demand for energy is in the coastal areas, which makes transportation and transmission of energy vital. The industrial sector is the main driver of the energy consumption in China, but the transport sector and the residential sector will increase their share of consumption in China, but the transport sector and the residential sector will increase their share of consumption by 2020. China's energy intensity decreased during the 1990s, but it is still high in a global comparison. China is projected to increase its energy consumption at least two times between 2000 and 2025. The government has an equal focus on energy conservation and to develop the current energy resources. Coal will continue to be the most important fuel, but the demand for oil, hydropower, natural gas and nuclear power will also increase. The main future challenges are transportation of energy resources within China and securing oil supply, both domestic and imports

  4. Potential for energy technologies in residential and commercial buildings

    Energy Technology Data Exchange (ETDEWEB)

    Glesk, M.M.

    1979-11-01

    The residential-commercial energy technology model was developed as a planning tool for policy analysis in the residential and commercial building sectors. The model and its procedures represent a detailed approach to estimating the future acceptance of energy-using technologies both in new construction and for retrofit into existing buildings. The model organizes into an analytical framework all relevant information and data on building energy technology, building markets, and government policy, and it allows for easy identification of the relative importance of key assumptions. The outputs include estimates of the degree of penetration of the various building energy technologies, the levels of energy use savings associated with them, and their costs - both private and government. The model was designed to estimate the annual energy savings associated with new technologies compared with continued use of conventional technology at 1975 levels. The amount of energy used under 1975 technology conditions is referred to as the reference case energy use. For analytical purposes the technologies were consolidated into ten groupings: electric and gas heat pumps; conservation categories I, II, and III; solar thermal (hot water, heating, and cooling); photovoltaics, and wind systems. These groupings clearly do not allow an assessment of the potential for individual technologies, but they do allow a reasonable comparison of their roles in the R/C sector. Assumptions were made regarding the technical and economic performances of the technologies over the period of the analysis. In addition, the study assessed the non-financial characteristics of the technologies - aesthetics, maintenance complexity, reliability, etc. - that will also influence their market acceptability.

  5. Divisia amount and price index for energy consumption

    International Nuclear Information System (INIS)

    Bentzen, J.

    1993-01-01

    In connection with the calculation of total energy consumption related to aggregation of the individual fuel's combustion values, an alternative to Btu aggregation (combustion value measurement), designated the ''Divisia index'', is presented. This represents an economic measure for energy consumption. The Divisia index is demonstrated in relation to total national energy consumption and total energy consumption within the Danish housing sector and also with regard to the estimation of price and income elasticity within energy demand. It is only possible to utilize the Divisia index in relation to the last 20 years, which is the period where energy consumption has stagnated. The question of possible irreversible effects on energy consumption caused by large variations in energy prices is discussed. It is suggested that the reaction to a fall in prices is different and less significant than is the case with price rises. In the long term, results point at a reasonably high price elasticity within energy demand. (AB) (22 refs.)

  6. Market Assessment for Residential Refrigerator-Freezer with Novel Rotating Heat Exchanger

    Energy Technology Data Exchange (ETDEWEB)

    Sikes, Karen [CSRA International, Inc., Fairfax, VA (United States); Blackburn, Julia [CSRA International, Inc., Fairfax, VA (United States); Grubbs, Tyler [CSRA International, Inc., Fairfax, VA (United States); Abdelaziz, Omar [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Momen, Ayyoub [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2016-02-01

    Despite a steady record of energy efficiency improvements in residential refrigerators and freezers over recent decades, these products still account for 4% of the site energy consumption for the average U.S. household. The Oak Ridge National Laboratory (ORNL) – along with partners Sandia National Laboratories (SNL) and the University of Maryland – are pursuing further efficiency improvements in this market sector by using a novel/prototype rotating heat exchanger (RHX) based on a Sandia Cooler technology as an evaporator in a residential refrigerator-freezer. The purpose of this study is to investigate the market potential of refrigerator-freezer products equipped with RHX evaporators in the United States, including projections of maximum annual market share and unit shipments and maximum direct and indirect job creation.

  7. Optimal Energy Consumption Analysis of Natural Gas Pipeline

    Science.gov (United States)

    Liu, Enbin; Li, Changjun; Yang, Yi

    2014-01-01

    There are many compressor stations along long-distance natural gas pipelines. Natural gas can be transported using different boot programs and import pressures, combined with temperature control parameters. Moreover, different transport methods have correspondingly different energy consumptions. At present, the operating parameters of many pipelines are determined empirically by dispatchers, resulting in high energy consumption. This practice does not abide by energy reduction policies. Therefore, based on a full understanding of the actual needs of pipeline companies, we introduce production unit consumption indicators to establish an objective function for achieving the goal of lowering energy consumption. By using a dynamic programming method for solving the model and preparing calculation software, we can ensure that the solution process is quick and efficient. Using established optimization methods, we analyzed the energy savings for the XQ gas pipeline. By optimizing the boot program, the import station pressure, and the temperature parameters, we achieved the optimal energy consumption. By comparison with the measured energy consumption, the pipeline now has the potential to reduce energy consumption by 11 to 16 percent. PMID:24955410

  8. State Energy Data Report, 1991: Consumption estimates

    International Nuclear Information System (INIS)

    1993-05-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA's energy models

  9. Energy consumption and economic development after the energy price increases of 1973

    International Nuclear Information System (INIS)

    Danielewski, J.

    1993-01-01

    The interdependence between energy consumption and economic development are highlighted in this research, which focuses on energy price rises between 1973 and 1989. Three groups of countries are identified, developing and developed market economies and centrally planned economies. Two areas of interdependence are examined, firstly the dynamic relationship between primary energy consumption growth and real economic growth and secondly the static relationship between primary energy consumption and national income. In the period under review, developing market economies reacted most strongly to higher energy prices, with lower energy consumption while maintaining real growth in the Gross Domestic Product. However developing countries and centrally planned economies increased their energy consumption per unit of national income although the rate of increase slowed after 1975. (UK)

  10. Energy drink consumption and marketing in South Africa.

    Science.gov (United States)

    Stacey, Nicholas; van Walbeek, Corné; Maboshe, Mashekwa; Tugendhaft, Aviva; Hofman, Karen

    2017-12-01

    Energy drinks are a fast-growing class of beverage containing high levels of caffeine and sugar. Advertising and marketing have been key to their growth in South Africa. This paper documents trends in energy drink consumption and energy drink advertising, and examines the relationship between exposure to energy drink advertising and consumption. Logistic regressions were estimated of categories of energy drink consumption on individual characteristics, as well as exposure to energy drink advertising. Exposure to advertising is measured by reported viewing of channels high in energy drink advertising. Energy drink consumption in South Africa is higher among younger, wealthier males. Spending on energy drink advertising is mostly focused on television. Targeted channels include youth, sports and general interest channels. Viewers of channels targeted by energy drink advertisers have higher odds of any and moderate levels of energy drinks consumption. Copyright © 2017 Elsevier Inc. All rights reserved.

  11. Optimization scheduling in intelligent Energy Management System for the DC residential distribution system

    DEFF Research Database (Denmark)

    Yue, Jingpeng; Hu, Zhijian; Li, Chendan

    2017-01-01

    Smart DC residential distribution system(RDS) consisted by DC living homes will be a significant integral part in the future green transmission with demand flexibility. Meanwhile, the distributed generations will play an important role in the active demand response (DR). Energy Management System...... (EMS) with aid of the wireless communication and the smart meter is imperative in achieving ADR for DC residential community. This paper presents a framework of centralized management system integration and the key process of ADR in DC residential distribution system. The propose framework and methods...

  12. Efficient Energy Management for a Grid-Tied Residential Microgrid

    DEFF Research Database (Denmark)

    Anvari-Moghaddam, Amjad; Guerrero, Josep M.; Quintero, Juan Carlos Vasquez

    2017-01-01

    In this paper, an effective energy management system (EMS) for application in integrated building and microgrid system is introduced and implemented as a multi-objective optimization problem. The proposed architecture covers different key modelling aspects such as distributed heat and electricity......’s objectives, the effectiveness and applicability of the proposed model is studied and validated compared to the existing residential EMSs. The simulation results demonstrate that the proposed EMS has the capability not only to conserve energy in sustainable homes and microgrid system and to reduce energy...

  13. Quantification of variables that affect energy consumption

    International Nuclear Information System (INIS)

    Warren, C.S.

    1993-01-01

    Facility energy consumption is the summation of a number of contributory factors, caused by equipment that uses energy in response to demands placed by the user and according to its particular design. While energy efficiency improvements usually concentrate on individual parts or systems, overall energy consumption is analyzed by examining the use of specific fuels. Because independent variables effect the consumption of these fuels, accurate comparisons of a facility's energy consumption for time-measured periods must include these effects. In many cases, it is possible to determine and quantify the effects of one or more of the independent variables through a statistically valid regression analysis of the data. The regression model can be linear, or be dependent on other functions such as powers, time lead or lag, or exponential. The most common model is linear, but other dependencies are often encountered. Regression analyses are not difficult to accomplish, and are included as one of the tools in most spreadsheet software. The analyses provide the energy manager with a means to better understand the energy consumption of his/her facility

  14. Calculations of energy consumption in ventilation systems

    Energy Technology Data Exchange (ETDEWEB)

    Kreslins, Andris; Ramata, Anna [Riga Technical University (Latvia)], e-mail: kreslins@rbf.rtu.lv, email: Anna.Ramata@rtu.lv

    2011-07-01

    Energy cost is an important economic factor in the food industry production process. With the rising price of energy, a reduction in energy consumption would greatly impact production and the end product. The aim of this study was to develop a methodology for optimizing energy consumption. A comparison between a traditional ventilation system and a mechanical system was carried out; the necessary enthalpy for heating the air supply and thermal energy consumption were calculated and compared for both systems during the heating season, from October to April, using climatological data for Latvia. Results showed that energy savings of 46% to 87% can be achieved by applying the methodology in the design of industrial buildings; in addition, a well-designed ventilation system increases the workers' productivity. This study presented a methodology which can optimize energy consumption in the food industry sector.

  15. Sector review of UK higher education energy consumption

    International Nuclear Information System (INIS)

    Ward, Ian; Ogbonna, Anthony; Altan, Hasim

    2008-01-01

    The UK education and education-related services are said to be one of the fastest-growing export earners in recent years and are known to have had significant impacts at the micro- and macro-levels of the UK. This review looks at energy consumption of this fast growing sector. It concentrates on the energy consumption patterns of the funded higher education institutions in the UK. The findings indicate energy consumption in the sector has been on the increase in the 6 years up to 2006; rising by about 2.7% above the 2001 consumption levels. This increase is, however, not evenly spread across the entire sector. The high energy-consuming institutions appear to be increasing their net consumption, relative to other institutions. Gross internal area, staff and research student full-time equivalent were found to have highest correlation with energy consumption across the sector and may be used as proxy indicators for energy consumption as well as the targets of interventions

  16. Estimating the Determinants of Residential Water Demand in Italy

    OpenAIRE

    Giulia Romano; Nicola Salvati; Andrea Guerrini

    2014-01-01

    The aim of this study was to estimate the determinants of residential water demand for chief towns of every Italian province, in the period 2007–2009, using the linear mixed-effects model estimated with the restricted-maximum-likelihood method. Results confirmed that the applied tariff had a negative effect on residential water consumption and that it was a relevant driver of domestic water consumption. Moreover, income per capita had a positive effect on water consumption. Among measured cli...

  17. Investigation of Energy and Environmental Potentials of a Renewable Trigeneration System in a Residential Application

    Directory of Open Access Journals (Sweden)

    Eun-Chul Kang

    2016-09-01

    Full Text Available Micro polygeneration utilizing renewable energy is a suitable approach to reduce energy consumption and carbon emission by offering high-efficiency performance, offsetting the need for centrally-generated grid electricity and avoiding transmission/distribution losses associated with it. This paper investigates the energy and environmental potential of a renewable trigeneration system in a residential application under Incheon (Korea and Ottawa (Canada weather conditions. The trigeneration system consists of a ground-to-air heat exchanger (GAHX, photovoltaic thermal (PVT panels and an air-to-water heat pump (AWHP. The study is performed by simulations in TRNSYS (Version 17.02 environment. The performance of the trigeneration system is compared to a reference conventional system that utilizes a boiler for space and domestic hot water heating and a chiller for space cooling. Simulation results showed substantial annual primary energy savings from the renewable trigeneration system in comparison to the reference system—45% for Incheon and 42% for Ottawa. The CO2eq emission reduction from the renewable trigeneration system is also significant, standing at 43% for Incheon and 82% for Ottawa. Furthermore, trigeneration systems’ capability to generate electricity and thermal energy at the point of use is considered as an attractive option for inclusion in the future smart energy network applications.

  18. Intelligent analysis of energy consumption in school buildings

    International Nuclear Information System (INIS)

    Raatikainen, Mika; Skön, Jukka-Pekka; Leiviskä, Kauko; Kolehmainen, Mikko

    2016-01-01

    Highlights: • Electricity and heating energy consumptions of six school buildings were compared. • Complex multivariate data was analysed using modern computational methods. • Variation in electricity consumption cost is considerably low between study schools. • District heating variation is very slight in two new study schools. • District heating cost describes energy efficiency and state of building automation. - Abstract: Even though industry consumes nearly half of total energy production, the relative share of total energy consumption related to heating and operating buildings is growing constantly. The motivation for this study was to reveal the differences in electricity use and district heating consumption in school buildings of various ages during the working day and also during the night when human-based consumption is low. The overall aim of this study is to compare the energy (electricity and heating) consumption of six school buildings in Kuopio, Eastern Finland. The selected school buildings were built in different decades, and their ventilation and building automation systems are also inconsistent. The hourly energy consumption data was received from Kuopion Energia, the local energy supply company. In this paper, the results of data analysis on the energy consumption in these school buildings are presented. Preliminary results show that, generally speaking, new school buildings are more energy-efficient than older ones. However, concerning energy efficiency, two very new schools were exceptional because ventilation was on day and night in order to dry the building materials in the constructions. The novelty of this study is that it makes use of hourly smart metering consumption data on electricity and district heating, using modern computational methods to analyse complex multivariate data in order to increase knowledge of the buildings’ consumption profiles and energy efficiency.

  19. Minimum energy consumption process synthesis for energy saving

    Energy Technology Data Exchange (ETDEWEB)

    Xiao-Ping, Jia [Institute for Petroleum and Chemical Industry, Qingdao University of Science and Technology, Qingdao 266042, Shandong (China); Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084 (China); Fang, Wang; Shu-Guang, Xiang; Xin-Sun, Tan; Fang-Yu, Han [Institute for Petroleum and Chemical Industry, Qingdao University of Science and Technology, Qingdao 266042, Shandong (China)

    2008-05-15

    The paper presents a synthesis strategy for the chemical processes with energy saving. The concept of minimum energy consumption process (MECP) is proposed. Three characteristics of MECP are introduced, including thermodynamic minimum energy demand, energy consumption efficiency and integration degree. These characteristics are evaluated according to quantitative thermodynamic analysis and qualitative knowledge rules. The procedure of synthesis strategy is proposed to support the generation of MECP alternatives, which combine flowsheet integration and heat integration. The cases studies will focus on how integration degrees of a process affect the energy-saving results. The separation sequences of the hydrodealkylation of toluene (HDA) process and ethanol distillation process as case studies are used to illustrate. (author)

  20. State energy data report 1993: Consumption estimates

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-07-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.