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Sample records for residential energy-consumption survey

  1. 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.

  2. 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.

  3. 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.

  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: 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.

  6. 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)

  7. 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.

  8. 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.

  9. An analysis of residential energy consumption in a temperate climate

    Energy Technology Data Exchange (ETDEWEB)

    Clark, Y.Y.; Vincent, W.

    1987-06-01

    Electrical energy consumption data have been recorded for several hundred submetered residential structures in Middle Tennessee. All houses were constructed with a common energy package.'' Specifically, daily cooling usage data have been collected for 130 houses for the 1985 and 1986 cooling seasons, and monthly heating usage data for 186 houses have been recorded by occupant participation over a seven-year period. Cooling data have been analyzed using an SPSSx multiple regression analysis and results are compared to several cooling models. Heating, base, and total energy usage are also analyzed and regression correlation coefficients are determined as a function of several house parameters.

  10. 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)

  11. Nonresidential Building Energy Consumption Survey (NBECS)

    Energy Technology Data Exchange (ETDEWEB)

    Flanagan, D.M.; Tsao, H.J.; Schmoyer, R.L. Jr.; MacDonald, J.M.

    1990-10-01

    Imputation procedures were designed for the 1983 Nonresidential Buildings Energy Consumption Survey (NBECS) of the Energy Information Administration (EIA) using 1979 NBECS data. The study included methodology development, data analysis, regression analyses, empirical evaluations of the regression models, and imputation procedures. Models considered were engineering models, stepwise regression, weighted regression, nonlinear regression, and log transformation regression. A method for determining the appropriateness of the imputation model for a particular set of independent variables is recommended. Although this study was completed in 1985, this final version of the report is being issued due to continuing requests for information. 32 tabs.

  12. A statistical method to investigate national energy consumption in the residential building sector of China

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Shuqin; Li, Nianping; Guan, Jun; Xie, Yanqun; Sun, Fengmei; Ni, Ji [Civil Engineering College, Hunan University, Changsha, Hunan 410082 (China)

    2008-07-01

    The purpose of this research is to found a national statistical system of energy consumption in the residential building sector of China, so as to look into the actuality of residential energy consumption, and to provide data support for building energy efficiency work in China. The frame of a national statistical system of residential energy consumption is presented in this paper, according to current status of the climate, social and historic conditions, and energy consumption characteristics in the five architecture climate divisions in China. The statistical index system of residential energy consumption is constituted which refers to housing unit characteristics, household characteristics, possession and utilization of energy consuming equipment, and residential energy consumption quantities. This index system suits for all the different utilization structures of residential energy consumption in different architecture climate divisions. On this base, a complete set of statistical reports is worked out to measure the energy consumption of cities, provinces and the country stage by stage. Finally the statistical method above is applied to measure residential energy consumption by case studies, in order to validate the feasibility of this method. The research in this paper covers the first step of the elaboration of the statistical method to investigate energy consumption in China, and more work will be done in future to further impel national statistics of residential energy consumption. (author)

  13. 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.

  14. 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

  15. 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.

  16. 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.

  17. Trends in Residential Energy Consumption in Saudi Arabia with Particular Reference to the Eastern Province

    Directory of Open Access Journals (Sweden)

    Farajallah Alrashed

    2014-12-01

    Full Text Available Residential buildings are vital in the energy scenario of Saudi Arabia as they account for 52% of the total electricity consumption. The Eastern Province, due to its harsh weather conditions, is one of the most challenging areas in Saudi Arabia in terms of residential energy consumption. The province is vital also because of its large land area, accounting for almost one third of the entire country. This article investigates some of the important factors related to the residential energy consumption i.e. weather conditions, types of dwellings, building envelops, air-conditioning (A/C systems and domestic appliances especially cooking ovens. The work is based upon an analysis of the actual monthly electricity consumption for 115 dwellings in Dhahran for the year 2012. The investigated buildings include 62 apartments, 28 villas, and 25 traditional houses. The annual average electricity consumption for the surveyed dwellings was found to be 176.5 kWh/m2, a value higher than international energy-efficiency benchmarks. It is found that the use of mini-split A/C systems, thermal insulation and double-glazed windows can help reduce the electricity consumption by over 30%.

  18. Understanding change and continuity in residential energy consumption

    DEFF Research Database (Denmark)

    Gram-Hanssen, Kirsten

    2011-01-01

    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...... 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 is, however, not a commonly agreed upon theory but more like an approach or a turn within contemporary social theory. When using practice theory in consumer studies, there are thus several conditions that need further clarification. The focus in this article is on how change and continuity...

  19. Effectiveness of an energy-consumption information system for residential buildings

    Energy Technology Data Exchange (ETDEWEB)

    Ueno, Tsuyoshi [Central Research Institute of Electric Power Industry, Tokyo (Japan); Inada, Ryo; Saeki, Osamu; Tsuji, Kiichiro [Osaka University, (Japan). Graduate School of Engineering

    2006-08-15

    The authors have proposed a method of reducing the energy consumption in residential buildings by providing household members with information on energy consumptions in their own houses. An on-line interactive 'energy-consumption information system' that displays power consumptions of, at most, 18 different appliances, power and city-gas consumption of the whole house and room temperature, for the purpose of motivating energy-saving activities has been constructed and the effectiveness of the system investigated by installing it in 10 residential buildings. The experiment showed that energy-saving consciousness was raised and energy consumption was in fact reduced by the energy-saving activities of the household members. In this paper, the system is described in detail and the effectiveness of reducing energy-consumption of the whole house and for space heating will be discussed. Also the energy-saving activities in a certain household are shown by using load duration curves. (author)

  20. 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

  1. 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.

  2. 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.

  3. 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

  4. Questionnaire survey, Indoor climate measurements and Energy consumption

    DEFF Research Database (Denmark)

    Knudsen, Henrik Nellemose; Thomsen, Kirsten Engelund; Mørck, Ove

    2012-01-01

    . This report presents part of the results of an evaluation of the project that was performed in the settlement. The evaluation consisted of a questionnaire survey of occupant experiences and satisfaction in 35 single-family houses, measurements of energy consumption in 22 selected single-family houses and 58...

  5. 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.

  6. 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

  7. 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.

  8. 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.

  9. 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

  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. An analysis of residential energy consumption in a temperate climate. Volume 2

    Energy Technology Data Exchange (ETDEWEB)

    Clark, Y.Y.; Vincent, W.

    1987-06-01

    Electrical energy consumption data have been recorded for several hundred submetered residential structures in Middle Tennessee. All houses were constructed with a common ``energy package.`` Specifically, daily cooling usage data have been collected for 130 houses for the 1985 and 1986 cooling seasons, and monthly heating usage data for 186 houses have been recorded by occupant participation over a seven-year period. Cooling data have been analyzed using an SPSSx multiple regression analysis and results are compared to several cooling models. Heating, base, and total energy usage are also analyzed and regression correlation coefficients are determined as a function of several house parameters.

  12. An analysis of residential energy consumption in a temperate climate. Volume 1

    Energy Technology Data Exchange (ETDEWEB)

    Clark, Y.Y.; Vincent, W.

    1987-06-01

    Electrical energy consumption data have been recorded for several hundred submetered residential structures in Middle Tennessee. All houses were constructed with a common ``energy package.`` Specifically, daily cooling usage data have been collected for 130 houses for the 1985 and 1986 cooling seasons, and monthly heating usage data for 186 houses have been recorded by occupant participation over a seven-year period. Cooling data have been analyzed using an SPSSx multiple regression analysis and results are compared to several cooling models. Heating, base, and total energy usage are also analyzed and regression correlation coefficients are determined as a function of several house parameters.

  13. Using ANNS to predict energy consumption of split AC systems in residential buildings and offices

    Energy Technology Data Exchange (ETDEWEB)

    Karatasou, S.; Santamouris, M.; Geros, V. [National and Kapodistrian Univ. of Athens., Athens (Greece). Dept. of Physics

    2007-07-01

    Artificial neural networks (ANNs) were used to predict AC power consumption in residential and small office buildings in Greece. The aim of the study was to produce a simple algorithm capable of predicting AC power consumption for a period of 24 hours. The performance of short-term predictors was evaluated. The predictive abilities of single step and 24-step predictors were then compared. Real data from an apartment building and a small office building in Athens were used. Datasets covered the summer period, and input variables were pre-selected among the available environmental and calendar variables. Feed forward ANNs with a single hidden layer of units were used. A single linear output to predict hourly energy consumptions consisted of 3 parts: the identification of all potential relevant inputs; the selection of hidden units for the preliminary set of inputs; and the removal of irrelevant inputs and useless hidden units through a subtractive phase. A Lavenberg Marquardt (LM) algorithm was used to train the networks. The network architecture was determined for both datasets through the selection procedures. Performance of the predictors was evaluated using the considered training and test sets. Results showed that both the single step and the 24-step predictors were accurate in the case of office buildings. However, the apartment building mean bias error (MBE) was approximately 10 per cent. Attempts to predict the residential building's energy consumption over a 24 hour period yielded an MBE of more than 30 per cent. 10 refs., 2 tabs., 3 figs.

  14. Impact of conservation measures on Pacific Northwest residential energy consumption. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Moe, R.J.; Owzarski, S.L.; Streit, L.P.

    1983-04-01

    The objective of this study was to estimate the relationship between residential space conditioning energy use and building conservation programs in the Pacific Northwest. The study was divided into two primary tasks. In the first, the thermal relationship between space conditioning energy consumption under controlled conditions and the physical characteristics of the residence was estimated. In this task, behavioral characteristics such as occupant schedules and thermostat settings were controlled in order to isolate the physical relationships. In the second task, work from the first task was used to calculate the thermal efficiency of a residence's shell. Thermal efficiency was defined as the ability of a shell to prevent escapement of heat generated within a building. The relationship between actual space conditioning energy consumption and the shell thermal efficiency was then estimated. Separate thermal equations for mobile homes, single-family residences, and multi-family residences are presented. Estimates of the relationship between winter electricity consumption for heating and the building's thermal shell efficiency are presented for each of the three building categories.

  15. 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

  16. 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.

  17. 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.

  18. 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

  19. The effect of different transitional spaces on thermal comfort and energy consumption of residential buildings

    NARCIS (Netherlands)

    Taleghani, M.; Tenpierik, M.J.; Van den Dobbelsteen, A.A.J.F.

    2012-01-01

    Purpose- This paper focuses on the effect of courtyards, atria and sunspaces on indoor thermal comfort and energy consumption for heating and cooling. One of the most important purposes is to understand if certain transitional spaces can reduce the energy consumption of and improve thermal comfort

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

    DEFF Research Database (Denmark)

    Hansen, Anders Rhiger

    2013-01-01

    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...

  1. 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

  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. 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

  4. 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.

  5. Residential energy-consumption analysis utilizing the DOE-1 computer program

    Energy Technology Data Exchange (ETDEWEB)

    Arentsen, S K

    1979-04-01

    The DOE-1 computer program is used to examine energy consumption in a typical middle-class household in Cincinnati, Ohio. The program is used to compare energy consumption under different structural and environmental conditions, including various levels of insulation in the walls and ceiling, double and single glazing of windows, and thermostat setback schedules. In addition, the DOE-1 program is used to model the house under three energy distribution systems: a unit heater, a single-zone fan system with optional subzone reheat; and a unitary heat pump. A plant equipment simulation is performed to model the heating and cooling plant currently installed in the house. A simple economic analysis of life-cycle costs for the house is done utilizing the economic simulation portion of DOE-1. Utility bills over the past six years are analyzed to gain an actual energy-use profile for the house to compare with computer results. Results indicate that a 35% savings in heating load may be obtained with addition of proper amounts of insulation as compared with the house with no insulation. The installation of double glazing on windows may save close to 6% on heating load. Thermostat setbacks may result in savings of around 25% on energy consumed for heating. Similar results are achieved with regard to cooling load. Comparison of actual energy consumed by the household (from utility bills) with the computer results shows a 4.25% difference in values between the two. This small percent difference certainly strengthens the case for future use of computer programs in comparing construction alternatives and predicting building energy consumption.

  6. 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...... before and after the retrofit. In three of the flats in Traneparken measurements of ventilation conditions were performed using passive tracer gas technique together with continuous registration of the room air temperature, the relative humidity and the CO2-concentration using programmable data loggers....

  7. 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.

  8. 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.

  9. Temporal De-biasing of Behaviour in Residential Energy Consumption: Supporting Conservation Compliance Through Feedback Design

    Science.gov (United States)

    Trinh, Kevin

    Despite years of research in residential energy conservation, means of inducing conservation behaviour through feedback are not well understood. In this thesis I take a novel approach to feedback design by addressing temporal inconsistencies that may hinder individuals from forming an intention to conserve. To help understand conservation compliance strategies, I proposed a visual framework to categorize interventions. I present two design heuristics that were inspired by temporal construal theory (Liberman & Trope, 2003). They were the impetus for the design of three feedback display prototypes, which were examined. Due to methodological limitations, significant improvements to compliance were not found. However, evidence suggests that comparative feedback may have supported reasoning about conservation rather than supporting conservation compliance directly. Future work includes refinement of feedback displays to avoid direct comparisons, exploring the use of nature imagery, and the study of a possible interaction between environmental values and comparative feedback on compliance.

  10. 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.

  11. Survey of socio-economic and contextual factors of households׳ energy consumption

    Directory of Open Access Journals (Sweden)

    Omar Jridi

    2015-12-01

    Full Text Available We present a set of data relating to the investigation of the Tunisian Company of Electricity and Gas (STEG. The census is done on a sample of 3000 electrified households. The questionnaire is divided into three main sections: household socioeconomic status, contextual characteristics related to their housing and technical characteristics of equipments used. The objective of this survey is to achieve a reliable and detailed knowledge on the behavior of household energy consumption, particularly for energy saving behavior. This objective has recently been the subject of a research article Jridi et al. (2015 [2].

  12. 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

  13. 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.

  14. Questionnaire survey, indoor climate measurements and energy consumption: Concerto initiative. Class1

    Energy Technology Data Exchange (ETDEWEB)

    Nellemose Knudsen, H.; Engelund Thomsen, K.; Bergsoee, N.C. [Aalborg Univ., Statens Byggeforskningsinstitut (SBi), Koebenhavn (Denmark); Moerck, O.; Holmegaard Andersen, K. [Cenergia Energy Consultants, Herlev (Denmark)

    2012-12-15

    The municipality of Egedal decided in 2006 to make use of the possibility in the Danish Planning Law for a municipality to tighten the energy requirements in the local plan for a new settlement to be erected in the municipality. During the years 2007-2011 a total of 442 dwellings were to be designed and constructed with a heating demand corresponding to the Danish low-energy standard referred to as ''low-energy class 1'' in a new settlement called Stenloese Syd. This means that the energy consumption is to be 50% lower than the requirement in BR08 (Danish Building Regulations 2008). 66 flats were to be designed and constructed with a yearly heating demand of 15 kWh/m{sup .} Furthermore, the Concerto community include a kindergarten and an activity centre for elderly people. All the single family houses were to be heated by a heat pump supported by a 3 m{sup }thermal solar system for hot water preparation. The dense low-rise housing are to be heated by a district heating network. All dwellings were to be equipped with a mechanical ventilation system with heat recovery and an electronic system for energy monitoring and control of the heating systems. The first houses were occupied in 2008. This report presents part of the results of an evaluation of the project that was performed in the settlement. The evaluation consisted of a questionnaire survey of occupant experiences and satisfaction in 35 single-family houses, measurements of energy consumption in 22 selected single-family houses and 58 flats, and measurements, assessments, and a series of physical measurements of selected indoor climate parameters in 7 selected single-family houses during March 2012. (Author)

  15. A survey of feeding, activity, supplement use and energy consumption in North American agility dogs.

    Science.gov (United States)

    Dinallo, Gina K; Poplarski, Jennifer A; Van Deventer, Gretchen M; Eirmann, Laura A; Wakshlag, Joseph J

    2017-01-01

    A survey was designed and administered at eighteen agility competitions across the Northeast and Midwest USA in 2015 to obtain information regarding competition level, training, feeding practices, owner-reported weight, body condition score (BCS) and supplement use. Average energy intake per d from reported consumption was assessed for all dogs in ideal body condition based on manufacturers' or US Department of Agriculture database information. To assess the respective parameters across competition levels (novice, open, master/elite), non-parametric or parametric ANOVA or χ 2 was used to determine significance. There were 494 respondents with usable data. Results showed that approximately 99 % of respondents used treats and 62 % utilised supplements. Of the respondents, 61 % fed primarily commercial dry food. Approximately 25 % of owners fed foods other than commercial dry (i.e. raw/home-prepared or freeze-dried). This 25 % of non-traditional diets included: 11 % home-prepared raw/cooked diets, 11 % commercial raw/cooked diets, and the remaining 3 % were fed commercial freeze-dried raw products. The remaining 14 % fed a mix of commercial dry food and raw/home-cooked blend. Average BCS was 4·7 (sd 1·1). Mean energy consumption of 238 dogs (BCS 4-5/9) was 444 (sd 138) kJ/kg body weight 0·75 per d (106 (sd 33) kcal/kg body weight 0·75 per d), with no significant differences observed between dogs at different levels of competition. The mean percentage of energy from treats was 15·1 (sd 12·7) % of overall energy consumption.

  16. 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

  17. 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

  18. 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...

  19. 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.

  20. 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.

  1. 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.)

  2. The impact of informational feedback on energy consumption - A survey of the experimental evidence

    International Nuclear Information System (INIS)

    Faruqui, Ahmad; Sergici, Sanem; Sharif, Ahmed

    2010-01-01

    In theory, In-Home Displays (IHDs) can revolutionize the way utilities communicate information to customers because they can induce changes in customer behavior even when they are not accompanied by a change in electric prices or rebates for purchasing efficient equipment. IHDs provide consumers with direct feedback - real-time information on energy consumption and costs - and turn a once opaque and static electric bill into a transparent, dynamic, and controllable process. However, to what extent do consumers actually respond to the direct feedback provided by IHDs? In this paper, we seek to empirically answer this question by reviewing a dozen utility pilot programs in North America and abroad that focus on the energy conservation impact of IHDs. We also review overall customer opinions and attitudes towards IHDs and direct feedback to the extent that this information is available from the pilot studies. Our review indicates that the direct feedback provided by IHDs encourages consumers to make more efficient use of energy. We find that consumers who actively use an IHD can reduce their consumption of electricity on average by about 7 percent when prepayment of electricity is not involved. When consumers both use an IHD and are on an electricity prepayment system, they can reduce their electricity consumption by about twice that amount. In regard to demand response impacts, we find that the impact of time-of-use rates is augmented by direct feedback from IHDs. (author)

  3. 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.

  4. 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

  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. 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.

  7. Residential radon survey in Finland

    International Nuclear Information System (INIS)

    Arvela, H.; Maekelaeinen, I.; Castren, O.

    1993-02-01

    The study measured the indoor radon concentration in the dwellings of 3074 persons, selected randomly from the central population register of Finland. Alpha track detectors and two consecutive half year measuring periods were used. The national mean of indoor radon concentration for persons living in low-rise residential buildings as well as blocks of flats was 145 and 82 Bq/m 3 , respectively. The mean for the total population was 123 Bq/m 3 . Based on the decision of the Ministry of Social Affairs and Health in 1992, the indoor radon concentration should not exceed 400 Bq/m 3 in already existing houses, the target for new construction being less than 200 Bq/m 3 . According to the study, the percentage of the Finnish population living in houses with an indoor radon concentration exceeding 200, 400 and 800 Bq/m 3 was 12.3 %, 3.6 % and 1.0 %

  8. 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.

  9. 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...

  10. Commercial-sector energy-consumption data-base-development project. Volume II. Survey of available energy use data

    Energy Technology Data Exchange (ETDEWEB)

    None

    1978-04-01

    A compilation of data on energy consumption in the commercial sector that have been published elsewhere is presented. Readily available information was collected on the structural, equipment, and energy use characteristics of the following: store and other mercantile buildings; warehouses; finance, insurance, real estate, and services industries; schools and colleges; hospitals and nursing homes; and government buildings. Energy data are shown in terms of Btu/ft/sup 2/. (MCW)

  11. Nonresidential buildings energy consumption survey: 1979 consumption and expenditures. Part 2. Steam, fuel oil, LPG, and all fuels

    Energy Technology Data Exchange (ETDEWEB)

    Patinkin, L.

    1983-12-01

    This report presents data on square footage and on total energy consumption and expenditures for commercial buildings in the contiguous United States. Also included are detailed consumption and expenditures tables for fuel oil or kerosene, liquid petroleum gas (LPG), and purchased steam. Commercial buildings include all nonresidential buildings with the exception of those where industrial activities occupy more of the total square footage than any other type of activity. 7 figures, 23 tables.

  12. 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...

  13. Analysis of Energy Consumption and Possibilities of Thermal-Modernization in Residential Buildings in Poland Case Study: The Town of Zielona Góra

    Science.gov (United States)

    Alsabry, A.; Truszkiewicz, P.; Szymański, K.; Łaskawiec, K.; Rojek, Ł.

    2017-12-01

    The article presents an analysis of buildings belonging the Department of Public Utilities and Housing in Zielona Góra. The research was based on a set of questions for building operators. The questionnaires consisted of 30 questions concerning general and detailed information about the buildings. In order to clearly present the results, this article includes data only about residential and residential-commercial buildings. Forty building built in different periods were selected for analysis.

  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 consumption of biomass in the residential sector of Italy in 1999; I consumi energetici di biomasse nel settore residenziale in Italia nel 1999

    Energy Technology Data Exchange (ETDEWEB)

    Gerardi, V. [ENEA, Divisione Fonti Rinnovabili di Energia, Centro Ricerche Casaccia, Rome (Italy); Perrella, G. [ENEA, Divisione Promozione Usi Efficienti e Diversificazione dell' Energia, Centro Ricerche Casaccia, Rome (Italy)

    2001-07-01

    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. [Italian] Il rapporto mira a descrivere la situazione dei consumi di biomassa come fonte di energia nel settore residenziale italiano nell'anno 1999. I dati presentati sono il risultato di una specifica indagine statistica sulle famiglie italiane. Con riferimento all'anno 1999, l'indagine ha permesso di stimare un consumo nazionale di combustibili vegetali pari a circa 14 milioni di tonnellate, con un consumo medio per famiglia utilizzatrice stimbabile in circa 3 tonnellate. L'indagine ha permesso di evidenziare i seguenti aspetti: il consumo in Italia di biomassa e' prevalentemente caratterizzato dall'impego di legna, che rappresenta il 98,5% del consumo totale di combustibili vegetali. La sansa, la carbonella e i gusci di

  16. National survey of residential magnetic field exposure

    International Nuclear Information System (INIS)

    Karipidis, K.K.

    2002-01-01

    The release of the Doll report in the UK, and its reported association between prolonged exposures to higher levels of power frequency magnetic fields and a small risk of leukaemia in children, has heightened community concerns. This disquiet among the general public has prompted the possibility of a national survey of residential magnetic field exposures to be implemented. Measurement methodologies were reviewed by the author and long-term measurements made by a logger placed in the living room for a 24-hour period were chosen as a surrogate measurement for the evaluation of exposure. An international comparison of similar surveys is presented, showing great deficiency, with the exception of Schuz et al and the UKCCS, in the number of homes surveyed. Factors influencing the selection of residences in the survey sample are elucidated and a range of sample sizes is presented with varying precision and confidence levels. Finally a feasible sample of 1,000 homes is chosen and a cost estimate is calculated with extra options for the measurement of the child's bedroom, a schools' survey and child personal exposure measurements included in the outlay. The purpose of the proposed national survey is to determine the proportion of Australian homes that are exposed to fields greater than 0.4 μT and the influence of proximity to powerlines as a cause. The study would also enable an interstate and international comparison of exposures to be made. Copyright (2002) Australasian Radiation Protection Society Inc

  17. A SURVEY OF RELATIONSHIP BETWEEN THE ENVIRONMENTAL ATTITUDES AND ENVIRONMENTAL KNOWLEDGE AND ENERGY CONSUMPTION BEHAVIOR AMONG CITIZENS OF URMIA, WEST AZERBAIJAN, IRAN

    Directory of Open Access Journals (Sweden)

    Amir Maleki

    2011-01-01

    Full Text Available Nowadays, the environmental issues and challenges, particularly "energy consumption behavior" has been the focus of attenti on for policy makers and scholars in the fields of sociology, environment st udy, management and so on. The change in the people's behavior towards the nat uralist dimensions can be considered as one of the ways to avoid the damage t o the environment and destruction of nature (Quimbita, 2005:1. Based on the theory of Reasoned Action of Fishbin and Ajzen (1975, it is assumed that the re is a systematic model between the people's approach towards a certain iss ue and the related behavior towards that issue. On the other hand, scholars in the field of environment study such as Borden and Schettino (1979, Schahn and Hol zer (1990, Kaiser et al (1999, and Bayard and Jolly (2006 believe that th ere is a relationship between environmental knowledge and significant environment al behavior. Considering the significance of the issues stated above, the pr esent article attempts to shed light on energy consumption behavior and its possib le correlation with environmental attitudes and environmental knowledge among the citizens of Urmia, West Azerbaijan, Iran. The research method i s survey and the main tool for collecting data was questionnaire. Dunlop's NEP scale was used for measuring environmental attitudes and Salehi's Items was empl oyed for measuring environmental knowledge. Statistical sample was con sisting of 383 citizens who were selected using cluster sampling method. The re sults show: 1 the participants owned positive environmental attitude, 2 there was a statistically significant relationship between the environmental attitude and environmental behavior (energy consumption of the participants, and 3 th ere was not any statistically significant relationships between environmental kno wledge – either systematic knowledge or behavioral knowledge – and environment al behavior of the participants.

  18. 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)

  19. 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.

  20. FY 1997 report on the field survey on country situations including efficient energy consumption. Vietnam; 1997 nendo chosa hokokusho (energy shohi koritsuka nado chiiki josei genchi chosa). Vietnam

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-03-01

    Field survey was made on the current state of and issues on energy in Vietnam. In Vietnam, firewood is in wide use as non-commercial energy, and sums to a half of total energy consumption. Other energies such as hydroelectric power, petroleum, natural gas and coal are self-sustainable. Commercial energy consumption in 1995 is estimated at 10,070,000t in oil equivalent, which is broken down into 23% for coal, 42% in oil, 5% for natural gas and 30% for electricity. Abundant water resources will form the mainstay of future electric power supply. Commercial production of oil started in 1986 becoming an oil exporting country. Several promising natural gas fields were discovered as the result of the exploration by foreign capital. Coal deposits are estimated to be nearly 3.5 billion tons, and most of them are anthracite. Electric power demand is growing at a higher rate than the economic growth of Vietnam. The growth rate of electric power demand is set to be 1.3 times that of GDP. Since construction funds for new plants cannot be satisfied with the national budget and domestic investment alone, the country is expecting foreign capitals. 21 figs., 36 tabs.

  1. Regional final energy consumptions

    International Nuclear Information System (INIS)

    2011-01-01

    This report comments the differences observed between the French regions and also between these regions and national data in terms of final energy consumption per inhabitant, per GDP unit, and per sector (housing and office building, transport, industry, agriculture). It also comments the evolutions during the last decades, identifies the most recent trends

  2. Residential construction cost: An Italian survey.

    Science.gov (United States)

    Canesi, Rubina; Marella, Giuliano

    2017-04-01

    This paper reports data describing development projects for new buildings according to construction costs in North-East Italy. A survey was carried out on local companies undertaking new residential development projects in two Italian regions (Veneto and Lombardy). The aim of this survey was to record new real estate construction projects, collecting both technical and socio-economic cost features. It is extremely difficult to collect such data for the Italian real estate construction sector, due to its lack of transparency, so that the novelty for the Italian scenario is the dataset itself. Another interest perspective of this survey is that socio-economic characteristics were also recorded; they are often studied in urban economics, but are usually related to property purchase prices and values, not to construction costs. The data come from an analysis of Canesi and Marella regarding the relationship between the trend of construction costs and the socio-economic conditions of the reference setting, such as the mean years of schooling of the workforce, housing market trends, and average per capita income.

  3. Residential construction cost: An Italian survey

    Directory of Open Access Journals (Sweden)

    Rubina Canesi

    2017-04-01

    Full Text Available This paper reports data describing development projects for new buildings according to construction costs in North-East Italy. A survey was carried out on local companies undertaking new residential development projects in two Italian regions (Veneto and Lombardy. The aim of this survey was to record new real estate construction projects, collecting both technical and socio-economic cost features. It is extremely difficult to collect such data for the Italian real estate construction sector, due to its lack of transparency, so that the novelty for the Italian scenario is the dataset itself. Another interest perspective of this survey is that socio-economic characteristics were also recorded; they are often studied in urban economics, but are usually related to property purchase prices and values, not to construction costs. The data come from an analysis of Canesi and Marella regarding the relationship between the trend of construction costs and the socio-economic conditions of the reference setting, such as the mean years of schooling of the workforce, housing market trends, and average per capita income.

  4. 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.

  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. 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

  7. The 2001 Residential Finance Survey - Owners Property File

    Data.gov (United States)

    Department of Housing and Urban Development — The 2001 Residential Finance Survey (RFS) was sponsored by the Department of Housing and Urban Development and conducted by the Census Bureau. The RFS is a follow-on...

  8. The 2001 Residential Finance Survey - Rental Property File

    Data.gov (United States)

    Department of Housing and Urban Development — The 2001 Residential Finance Survey (RFS) was sponsored by the Department of Housing and Urban Development and conducted by the Census Bureau. The RFS is a follow-on...

  9. Energy consumption projection of Nepal

    DEFF Research Database (Denmark)

    Parajuli, Ranjan; Østergaard, Poul Alberg; 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...

  10. 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...

  11. 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)

  12. 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

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

    OpenAIRE

    Chen Xu; Yu Li; Xueting Jin; Liang Yuan; Hao Cheng

    2017-01-01

    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 meteorolo...

  14. Economic growth and energy consumption in Algeria: a causality analysis

    International Nuclear Information System (INIS)

    Cherfi, S.

    2011-01-01

    The purpose of this study is to review the causal link in the Granger sense, between energy consumption and economic growth in Algeria, to determine its implications for economic policy. The analysis was done based on Granger static and causality tests using statistical data on per capita primary energy consumption and gross domestic product per inhabitant in Algeria, over the 1965-2008 period. The results of the survey show that there is, in Algeria, a strong link between energy consumption per inhabitant and GDP per inhabitant. The results also suggest the lack of a long term impetus (no co-integration) between energy consumption and economic growth. In addition, there is a one-way causal link between GDP and energy consumption, i.e. the prior GDP data provides a better forecast of energy consumption level, but not the contrary. In other words, GDP explains consumption, not the contrary. (author)

  15. 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

  16. The Comfortable Home and Energy Consumption

    DEFF Research Database (Denmark)

    Madsen, Line Valdorff

    2017-01-01

    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......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...

  17. U.S. Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys

    Energy Technology Data Exchange (ETDEWEB)

    Greenblatt, Jeffery B.; Young, Scott J.; Yang, Hung-Chia; Long, Timothy; Beraki, Bereket; Price, Sarah K.; Pratt, Stacy; Willem, Henry; Desroches, Louis-Benoit

    2013-11-14

    Amazon Mechanical Turk was used, for the first time, to collect statistically representative survey data from U.S. households on the presence, number, type and usage of refrigerators, freezers, and various “miscellaneous” refrigeration products (wine/beverage coolers, residential icemakers and non-vapor compression refrigerators and freezers), along with household and demographic information. Such products have been poorly studied to date, with almost no information available about shipments, stocks, capacities, energy use, etc. A total of 9,981 clean survey responses were obtained from five distinct surveys deployed in 2012. General refrigeration product survey responses were weighted to demographics in the U.S. Energy Information Administration’s Residential Energy Consumption Survey 2009 dataset. Miscellaneous refrigeration product survey responses were weighted according to demographics of product ownership found in the general refrigeration product surveys. Model number matching for a portion of miscellaneous refrigeration product responses allowed validation of refrigeration product characteristics, which enabled more accurate estimates of the penetrations of these products in U.S. households. We estimated that there were 12.3±1.0 million wine/beverage coolers, 5.5(–3.5,+3.2) million residential icemakers and 4.4(–2.7,+2.3) million non-vapor compression refrigerators in U.S. households in 2012. (All numerical results are expressed with ranges indicating the 95% confidence interval.) No evidence was found for the existence of non-vapor compression freezers. Moreover, we found that 15% of wine/beverage coolers used vapor compression cooling technology, while 85% used thermoelectric cooling technology, with the vast majority of thermoelectric units having capacities of less than 30 wine bottles (approximately 3.5 cubic feet). No evidence was found for the existence of wine/beverage coolers with absorption cooling technology. Additionally, we estimated

  18. U.S. Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys

    Energy Technology Data Exchange (ETDEWEB)

    Greenblatt, Jeffery B. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Young, Scott J. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Yang, Hung-Chia [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Long, Timothy [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Beraki, Bereket [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Price, Sarah K. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Pratt, Stacy [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Willem, Henry [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Desroches, Louis-Benoit [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2013-04-01

    Amazon Mechanical Turk was used, for the first time, to collect statistically representative survey data from U.S. households on the presence, number, type and usage of refrigerators, freezers, and various “miscellaneous” refrigeration products (wine/beverage coolers, residential icemakers and non-vapor compression refrigerators and freezers), along with household and demographic information. Such products have been poorly studied to date, with almost no information available about shipments, stocks, capacities, energy use, etc. A total of 9,820 clean survey responses were obtained from four distinct surveys deployed in 2012. General refrigeration product survey responses were weighted to demographics in the U.S. Energy Information Administration’s Residential Energy Consumption Survey 2009 dataset. Miscellaneous refrigeration product survey responses were weighted according to demographics of product ownership found in the general refrigeration product surveys. Model number matching for a portion of miscellaneous refrigeration product responses allowed validation of refrigeration product characteristics, which enabled more accurate estimates of the penetrations of these products in U.S. households. We estimated that there were 12.3±1.0 million wine/beverage coolers, 5.5(–3.5,+3.2) million residential icemakers and 2.9(–2.5,+4.5) million non-vapor compression refrigerators in U.S. households in 2012. (All numerical results are expressed with ranges indicating the 95% confidence interval.) No evidence was found for the existence of non-vapor compression freezers. Moreover, we found that 15% of wine/beverage coolers used vapor compression cooling technology, while 85% used thermoelectric cooling technology, with the vast majority of thermoelectric units having capacities of less than 30 wine bottles (approximately 3.5 cubic feet). No evidence was found for the existence of wine/beverage coolers with absorption cooling technology. Additionally, we estimated

  19. 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.

  20. 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.

  1. Working towards residential Radon survey in South America

    International Nuclear Information System (INIS)

    Zielinski, Jan M.; University of Ottawa, ON; Canoba, Analia C.; Shilnikova, Natalia S.; Veiga, Lene H. S.

    2008-01-01

    Information about residential radon levels in low and middle income countries is very sparse. In response to the World Health Organization initiative in the International Radon Project, we propose a research project that will address this knowledge gap in South America by conducting a residential radon survey. Following initial in vitro and in vivo studies of radon and studies of uranium miners exposed to radon, over twenty large case-control studies of lung cancer risk from exposure to residential radon have been completed worldwide by year 2004. Recently pooled data from these individual studies have been analyzed. These collaborative analyses of the indoor studies in Europe, North America, and China provide strong direct evidence that radon is causing a substantial number of lung cancers in the general population. To reduce radon lung cancer risk, national authorities must have methods and tools based on solid scientific evidence to develop sound public health policies. We propose to conduct a survey in ten South American countries using the distribution and analysis of passive alpha tracking detectors in houses selected at random in pre-selected cities in each participating country. We also present an approach to estimate the cost of carrying out such a survey and the radon laboratory infrastructure needed. The results of the proposed survey will allow to conduct assessment of the exposure to residential radon in the populations of South American countries and to assess the health impact of this exposure. The results of the project will also help national health authorities in developing national residential radon action levels and regulations, as well as provide public health guidance for radon awareness and mitigation. (author)

  2. 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

  3. Energy consumptions in the industry in 2008

    International Nuclear Information System (INIS)

    2009-01-01

    This paper is a synthesis of the annual survey on energy consumptions by the French industry in 2008. It gives and comments the level and the evolutions of the consumed quantities per type of energy (electricity, vapour, gas, solid fuels, oil products), of their average annual cost. It describes the methodology implemented for this survey, indicates the sources of data and types and categories of surveyed industrial plants, describes how consumption calculations have been performed, and specifies the coefficients of conversion in tonne of equivalent oil with respect to the energy type (all conventional types and other types of fuels like vegetable wastes for example)

  4. 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.

  5. 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)

  6. 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.)

  7. 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.

  8. International measures project for rational energy use (Survey project of the analysis tool of Asian energy consumption efficiency). List of errata; 1998 nendo kokusai energy shiyo gorika nado taisaku jigyo seigohyo. Asia energy shohi koritsuka bunseki tool chosa jigyo

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    The list of errata was prepared for the data book of the international measures project for rational energy use (Survey project of the analysis tool of Asian energy consumption efficiency). Corrected pages of the data book 1 (1990) are as follows: 187-190, 223-226, 259-262, 295- 298, 369-370, 387-388 and 405-406 on Malaysian data. Corrected pages of the data book 2 (1985) are as follows: 102-105 on Chinese data, 154 on common data, and 187-190, 223-226, 259-262, 295-298, 369-370, 387-388 and 405-406 on Malaysian data. (NEDO)

  9. On-site energy consumption and selected emissions at softwood sawmills in the southwestern United States

    Science.gov (United States)

    Dan Loeffler; Nathaniel Anderson; Todd A. Morgan; Colin B. Sorenson

    2016-01-01

    Presently there is a lack of information describing US southwestern energy consumption and emissions generated from the sawmilling industry. This article uses a mail survey of softwood sawmills in the states of Arizona, Colorado, and New Mexico to develop a profile of on-site energy consumption and selected emissions for the industry. Energy consumption is...

  10. 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)

  11. 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.

  12. An investigation on energy consumption in Japan. Industry sector

    International Nuclear Information System (INIS)

    Suzuki, Takayoshi

    2005-03-01

    Energy consumption in the industry sector, which is larger than that of the residential/commercial or transportation sector, occupies nearly 50% of final energy consumption in Japan. The industry sector has made an effort for energy conservation from an economical point of view. Now further effort is required also to cope with a global warming problem. This report summarizes the results of investigation on energy consumption, changes in energy intensity and development of energy conservation technologies including those common to the industries and recycling of wastes, focusing on energy intensive industries such as iron and steel and chemicals. Advanced energy conservation technologies or systems are being developed with a large and continuous effort in all industries, and recycling of wastes, e.g. waste plastics, has started in industry scale. (author)

  13. Forecasting of the energy consumption

    International Nuclear Information System (INIS)

    Hill, Z.

    1996-01-01

    Urged by earlier continuous failures in forecasting the consumption of energy in the world, essentially characterized by megalomania, the author presents his views on causes of such occurrences. Fundamental cause is considered - logic of a circle - insensitive to social and economic effects on the humanity in general and particularly to the energy consumption. Besides, a lethal influence of voluntarism has been specially studied as well. (author)

  14. Energy consumption and technological developments

    International Nuclear Information System (INIS)

    Okorokov, V.R.

    1990-02-01

    The paper determines an outline of the world energy prospects based on principal trends of the development of energy consumption analysed over the long past period. According to the author's conclusion the development of energy systems will be determined in the nearest future (30 - 40 years) by contemporary energy technologies based on the exploitation of traditional energy resources but in the far future technologies based on the exploitation of thermonuclear and solar energy will play the decisive role. (author)

  15. 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.

  16. 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.

  17. FY1998 survey report on the site surveys on regional situations in improvement in energy consumption (Cambodia and Bangladesh); 1998 nendo energy shohi koritsuka nado chiiki josei genchi chosa hokokusho (Cambodia, Bangladesh) chosa

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    In order to promote technical cooperation of Japan with Asia in the energy aspect, site surveys were carried out on improvement in energy consumption efficiency. Electric power supply in Cambodia is made mostly from EDC, whose power generation amount in 1997 was 310 million kwh, while the power sold was 230 million kwh, with 26.1% of the total generation amount, or 80 million kwh being wasted as the loss. Existing power generation facilities are old and small in scale, made by the former Soviet Union making the repair difficult. The loss is enormous because of aging in power distribution facilities, overload operation, and power stealing. The efficiency is extremely poor, whereas improvement in efficiency of the existing facilities is indispensable to cope with the anticipated increase in the demand. In Bangladesh, 90% of the power is generated by using natural gas produced in the eastern part of the country. Many power plants are experiencing decreased efficiency due to the facility aging and insufficient and improper maintenance. The power transmission and distribution departments have had a large loss in power, which has become one of the most important issues. The loss exceeds 30%. The government is trying to achieve efficiency improvement in the electric power business through introducing the principle of competition by establishing new private companies. However, this approach is facing severe objection from the governmental and public labor unions, making the future development opaque. (NEDO)

  18. 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.

  19. 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)

  20. 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...

  1. 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

  2. Report on achievements in fiscal 1996. International energy usage rationalization project (project to survey energy consumption efficiency improvement analyzing tools for Asia/data edition); 1996 nendo kokusai energy shiyo gorika taisaku jigyo chosa hokokusho shiryohen. Asia energy shohi koritsuka bunseki tool chosa jigyo

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-10-01

    This paper is a collection of data on surveys for energy consumption efficiency improvement, taking Japan, Korea, Indonesia, Thailand, and Philippines as the object countries. I. Industry related various value tables consist of the following: basic transaction table, throw-in coefficient table, final demand converter table, import coefficient table, added value coefficient table, inverse matrix coefficient table, sensitivity coefficient table, influence coefficient table, production inducing amount, production induction dependence, import inducing amount, import induction coefficient, import induction dependence, and inverse matrix coefficient table. II. Energy related various coefficient tables consist of the following: inherent unit quantity table, energy consumption table, CO2 table (1), CO2 table (2), unit requirement table, energy consumption induction table, energy consumption induction coefficient table, energy consumption induction dependence table, CO2 induction table (1), CO2 induction coefficient table (1), CO2 induction dependence table (1), CO2 induction table (2), CO2 induction coefficient table (2), and CO2 induction dependence table (2). Industries are classified into 34 kinds. III. The energy consumption table, CO2 table (1) and CO2 table (2) are shown as the simulation results for the four countries: Korea, Indonesia, Thailand, and Philippines. (NEDO)

  3. 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.

  4. FY 2000 report on information exchanges/analytical survey for improvement of energy consumption efficiency; 2000 nendo energy shohi koritsuka joho kokan bunseki chosa hokokusho

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-03-01

    For the purpose of surveying the situation of the arrangement of methods of energy conservation promotion and the emissions trading system in developing countries by Japan having the effectiveness or in cooperation with developed countries, information was collected through the participation in international conferences related to energy conservation promotion, etc. and by visits at governmental organizations in charge in developed countries and developing countries. The results of the survey were classified into the following four items: 1) survey method; 2) exchanges of information on energy conservation in main 3 developing counties; 3) exchanges of information of energy conservation in the main developed countries; 4) exchanges of information of the emissions trading system (international trading system of energy conservation values (greenhouse effect gas emission right)). In 4), survey was made on the following: the emissions trading system for the inside of company group (BP-Amoco), the details of the emissions trading system for one country (the U.K.), the grapple with the emissions trading by a private trading organization (NATSOURCE Co.), and the handle with the emissions trading system by each of the OECD countries. (NEDO)

  5. Occupational safety issues in residential construction surveyed in Wisconsin, United States.

    Science.gov (United States)

    Choi, Sang D; Carlson, Kathryn

    2014-01-01

    Residential construction is a high-risk industry in the U.S. due to the exposure to work-related safety hazards and fall injuries. This study aimed to examine the safety training and safe work practices of construction workers within the small residential construction industry. In order to achieve the study objectives, a survey was designed and sent to approximately 200 Wisconsin based residential construction contractors. About one third of the respondents stated that they did not have any form of safety programs. The study indicated that the most common types of work-related injuries in residential construction were slips/trips/falls and cuts/lacerations. The survey findings also suggested that the residential construction contractors needed to increase the utilization of fall protection safety equipment. Further education and subject matter expert training could provide benefits to improve occupational safety and health of the small business workforce in the residential construction industry.

  6. On-site energy consumption at softwood sawmills in Montana

    Science.gov (United States)

    Dan Loeffler; Nathaniel Anderson; Todd A. Morgan; Colin B. Sorenson

    2016-01-01

    Total on-site energy requirements for wood product manufacturing are generally not well understood or publicly available, particularly at subregional scales, such as the state level. This article uses a mail survey of softwood sawmills in Montana to develop a profile of all on-site energy consumption. Energy use is delineated by fuel type on a production basis...

  7. A Survey on the Use of the Abacus in Residential Schools.

    Science.gov (United States)

    Steinbrenner, Arthur H.; And Others

    1980-01-01

    The article surveys the practices in residential schools for the blind concerning the use of computational devices and the types of teacher training in the use of the abacus. Consensus of facts and opinions voiced by respondents from 30 residential schools is reported. The major emphasis is on the effective use of the abacus. (Author/SBH)

  8. 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

  9. Revising China's energy consumption and carbon emissions

    Science.gov (United States)

    Liu, Z.

    2015-12-01

    China is the world's largest carbon emitter and takes the lion's share of new increased emission since 2000, China's carbon emissions and mitigation efforts have received global attentions (Liu et al., Nature 500, 143-145)1. Yet China's emission estimates have been approved to be greatly uncertain (Guan et al., Nature Climate Change 2, 672-675)2. Accurate estimation becomes even crucial as China has recently pledged to reach a carbon emission peak by 2030, but no quantitative target has been given, nor is it even possible to assess without a reasonable baseline. Here we produced new estimates of Chinese carbon emissions for 1950-2012 based on a new investigation in energy consumption activities and emission factors using extensively surveyed and experimental data from 4243 mines and 602 coal samples. We reported that the total energy consumption is 10% higher than the nationally published value. The investigated emission factors used in China are significantly (40%) different from the IPCC default values which were used in drawing up several previous emission inventories. The final calculated total carbon emissions from China are 10% different than the amount reported by international data sets. The new estimate provides a revision of 4% of global emissions, which could have important implications for global carbon budgets and burden-sharing of climate change mitigation. 1 Liu, Z. et al. A low-carbon road map for China. Nature 500, 143-145 (2013). 2 Guan, D., Liu, Z., Geng, Y., Lindner, S. & Hubacek, K. The gigatonne gap in China's carbon dioxide inventories. Nature Climate Change, 672-675 (2012).

  10. FY 1998 annual summary report on project for international energy consumption rationalization. Survey on analysis tool for improving efficiency of Asian energy consumption (data book 2 for 1985); 1998 nendo kokusai energy shiyo gorika nado taisaku jigyo chosa hokokusho. Asia energy shohi koritsuka bunseki tool chosa jigyo (shiryoshu 2 1985 nen data)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    The data book is compiled, based on common industrial classifications, as the tool for analyzing, e.g., the mutual ripple effects of economic growth and increased efficiency of energy consumption throughout the Asia-Pacific region. This book summarizes the industrial-related and energy-related tables for 8 Asian countries and Japan. The book II is for the 1985 data (1987 data for China), comparing with the book I for the 1990 data. The industry-related tables are composed of the tables for transaction bases, input coefficients, final demand converters, importation coefficients, inverse matrices, sensitivity/influence coefficients, production inducement levels, production inducement coefficients, degrees of dependence on production inducement, importation inducement levels, importation inducement coefficients, and degrees of dependence on importation inducement. Energy-related tables are composed of the tables for, e.g., energy input, energy consumption, emissions, and CO2 emissions. (NEDO)

  11. U.S. residential consumer product information: Validation of methods for post-stratification weighting of Amazon Mechanical Turk surveys

    Energy Technology Data Exchange (ETDEWEB)

    Greenblatt, Jeffery B. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Yang, Hung-Chia [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Desroches, Louis-Benoit [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Young, Scott J. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Beraki, Bereket [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Price, Sarah K. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Pratt, Stacy [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Willem, Henry [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Donovan, Sally M. [Consultant, Melbourne (Australia)

    2013-04-01

    We present two post-stratification weighting methods to validate survey data collected using Amazon Mechanical Turk (AMT). Two surveys focused on appliance and consumer electronics devices were administered in the spring and summer of 2012 to each of approximately 3,000 U.S. households. Specifically, the surveys asked questions about residential refrigeration products, televisions (TVs) and set-top boxes (STBs). Filtered data were assigned weights using each of two weighting methods, termed “sequential” and “simultaneous,” by examining up to eight demographic variables (income, education, gender, race, Hispanic origin, number of occupants, ages of occupants, and geographic region) in comparison to reference U.S. demographic data from the 2009 Residential Energy Consumption Survey (RECS). Five key questions from the surveys (number of refrigerators, number of freezers, number of TVs, number of STBs and primary service provider) were evaluated with a set of statistical tests to determine whether either method improved the agreement of AMT with reference data, and if so, which method was better. The statistical tests used were: differences in proportions, distributions of proportions (using Pearson’s chi-squared test), and differences in average numbers of devices as functions of all demographic variables. The results indicated that both methods generally improved the agreement between AMT and reference data, sometimes greatly, but that the simultaneous method was usually superior to the sequential method. Some differences in sample populations were found between the AMT and reference data. Differences in the proportion of STBs reflected large changes in the STB market since the time our reference data was acquired in 2009. Differences in the proportions of some primary service providers suggested real sample bias, with the possible explanation that AMT user are more likely to subscribe to providers who also provide home internet service. Differences in

  12. Environmental degradation, energy consumption, population growth ...

    African Journals Online (AJOL)

    Based on the result, there is no evidence of unidirectional causality running from CO2 emissions and energy consumption to economic growth and strong unidirectional causality running from CO2 emissions, energy consumption and economic growth to population growth was found. The long run and short run estimates ...

  13. 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)

  14. The Relationship Between Energy Consumption and Economic ...

    African Journals Online (AJOL)

    As evidenced from the study, causality runs from energy consumption to economic growth. Energy consumption in Nigeria is mainly based on the use of fossil fuels which is non-renewable. Therefore, in order to actualize its vision of becoming one of the 20th largest economies in the World by the year 2020, government ...

  15. Fiscal 1997 report on the survey of effects of enhancement of energy consumption efficiency on the global environment; 1997 nendo chosa hokokusho (energy shohi koritsuka chikyu kankyo eikyo chosa)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-03-01

    The paper surveyed the state of studying the measures against global warming in the third assessment report of the Intergovernmental Panel on Climate Change (IPCC) and made analyses of the trends of preventive measures for global warming in other countries, aiming at presenting data for studying the future enhancement of energy consumption efficiency in the Asia Pacific region. In the U.S., a report was taken up from Executive Office of the President which is entitled `the federal government R and D of energy for solution to problems in the 21st century.` The report made analyses of the federal government R and D of energy and at the same time recommended an increase in R and D budget and reinforcement of the organization of the Department of Energy. In Europe, the carbon tax, CO2 tax, energy tax, etc. are introduced or studied for reduction of CO2 emissions. OECD made public a report approved in May 1997 which is entitled `the environmental tax and green tax reform.` Also studied were the introduction and effects of the carbon tax aiming at reducing CO2 emissions in developing countries. More attention is being paid to economic effects predicted in case developed countries reinforce various kinds of measures for targeted reduction of greenhouse gases. 2 figs., 4 tabs.

  16. Energy consumption in buildings and female thermal demand

    Science.gov (United States)

    Kingma, Boris; van Marken Lichtenbelt, Wouter

    2015-12-01

    Energy consumption of residential buildings and offices adds up to about 30% of total carbon dioxide emissions; and occupant behaviour contributes to 80% of the variation in energy consumption. Indoor climate regulations are based on an empirical thermal comfort model that was developed in the 1960s (ref. ). Standard values for one of its primary variables--metabolic rate--are based on an average male, and may overestimate female metabolic rate by up to 35% (ref. ). This may cause buildings to be intrinsically non-energy-efficient in providing comfort to females. Therefore, we make a case to use actual metabolic rates. Moreover, with a biophysical analysis we illustrate the effect of miscalculating metabolic rate on female thermal demand. The approach is fundamentally different from current empirical thermal comfort models and builds up predictions from the physical and physiological constraints, rather than statistical association to thermal comfort. It provides a substantiation of the thermal comfort standard on the population level and adds flexibility to predict thermal demand of subpopulations and individuals. Ultimately, an accurate representation of thermal demand of all occupants leads to actual energy consumption predictions and real energy savings of buildings that are designed and operated by the buildings services community.

  17. Practical versus theoretical domestic energy consumption for space heating

    International Nuclear Information System (INIS)

    Audenaert, A.; Briffaerts, K.; Engels, L.

    2011-01-01

    Methods to calculate the theoretical energy consumption consider several things: the number of degree days per year that need to be compensated by heating, the characteristics of the dwelling, the number of occupants and the characteristics of the installation for space heating and sanitary hot water. However, these methods do not take into account consumer behaviour, which may affect the actual consumption. The theoretical calculation methods are based on assumptions and use a number of standardized parameters. The difference between the actual and the theoretical energy consumption, and the impact of the residents' behaviour on energy consumption, is analysed by means of a literature study and a practical research. An energy advice procedure (EAP) audit is executed in five dwellings, as well as a survey regarding the energy related behaviour of the households. The theoretically calculated consumption is compared with the billed actual energy consumption of the families. The results show some problems with the current procedure and give some options to improve it. Some research needs are identified to gain more insights in the influence of different behavioural factors on the actual energy use for heating. - Highlights: → The energy advice procedure (EAP) calculates the energy use for heating in dwellings. → Calculations are compared with the real energy use for 5 dwellings. → A survey on the occupants' behaviour is used to interpret the observed differences. → Default values used in the EAP can be very different from the observed behaviour.

  18. 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)

  19. 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.)

  20. 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)

  1. Residential energy usage comparison project: An overview

    Energy Technology Data Exchange (ETDEWEB)

    Smith, B.A.; Uhlaner, R.T.; Cason, T.N. (Quantum Consulting, Inc., Berkeley, CA (USA))

    1990-10-01

    This report provides an overveiw of the residential energy usage comparison project, an integrated load and market research project sponsored by EPRI and the Southern California Edison Company. Traditional studies of the relative energy consumption of electric and gas household appliances have relied on laboratory analyses and computer simulations. This project was designed to study the appliance energy consumption patterns of actual households. Ninety-two households in Orange County, California, southeast of Los Angeles, served as the study sample. Half of the households received new electric space-conditioning, water-heating, cooking, and clothes-drying equipment; the other half received gas equipment. The electric space-conditioning and water-heating appliances were heat pump technologies. All of the appliances were metered to collect load-shape and energy consumption data. The households were also surveyed periodically to obtain information on their energy needs and their acceptance of the appliances. The metered energy consumption data provide an important benchmark for comparing the energy consumption and costs of alternative end-use technologies. The customer research results provide new insights into customer preferences for fuel and appliance types. 15 figs., 3 tabs.

  2. Energy Consumption in Cloud Computing Data Centers

    OpenAIRE

    Uchechukwu Awada; Keqiu Li; Yanming Shen

    2014-01-01

    The implementation of cloud computing has attracted computing as a utility and enables penetrative applications from scientific, consumer and business domains. However, this implementation faces tremendous energy consumption, carbon dioxide emission and associated costs concerns. With energy consumption becoming key issue for the operation and maintenance of cloud datacenters, cloud computing providers are becoming profoundly concerned.  In this paper, we present formulations and solutions fo...

  3. Nebraska residential propane survey, Winter 1991/92

    International Nuclear Information System (INIS)

    Kinyon, L.

    1992-01-01

    This report summarizes information on propane prices for the October 1991/March 1992 heating season in Nebraska. From October through March participating propane distributors were contacted twice monthly by the Nebraska Energy Office to obtain their current residential (retail) prices of propane. This information was faxed to the US Department of Energy, Energy Information Administration (DOE/EIA) biweekly in report format as prepared by the PEDRO system

  4. 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.

  5. 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.

  6. ENERGY CONSUMPTION AND REAL GDP IN IRAN

    Directory of Open Access Journals (Sweden)

    Ali Akbar Naji Meidani

    2014-01-01

    Full Text Available As one of the most important production factors and one of the most urgent final products, energy has a special position in the growth and development of the country. This paper examines the causal relationship between Real GDP and energy consumption in various economic sectors including (household and commercial, industry, transportation and agriculture sectors for Iran during 1967–2010 using the time series technique known as the Toda-Yamamoto method. Moreover, an error correction model is also estimated so that the results of these two methods are compared. We found a strong unidirectional causality from energy consumption in industry sector to real gross domestic product. Energy consumption in industry sector can observably promote the development of economy.

  7. Energy consumption modeling during dairy sewage pretreatment

    Science.gov (United States)

    Dąbrowski, Wojciech; Żyłka, Radosław; Malinowski, Paweł; Boruszko, Dariusz

    2017-11-01

    The research was conducted in a dairy WWTP located in north-eastern Poland with the average flow of 546 m3d-1 and PE 11500 in 2016. Energy consumption was measured with the help of Lumel 3-phase network parameter transducers installed within the plant. The modeling was conducted based on the quantity and quality of raw sewage, after its screening, averaging and dissolved air flotation. The following parameters were determined: BOD5, COD. N-total and P-total. During the research period. 15 measurement series were carried out. Pollution loads removed in primary treatment varied from 167.0 to 803.5 kgO2d-1 and 1205.9 to 10032 kgO2d-1 for BOD5 and COD respectively. The energy consumption share during dairy pretreatment in relation to the total energy consumption was in the range from 13.8 to 28.5% with the mean value of 18.7% during the research period. Energy consumption indicators relating to removed pollution loads for primary treatment were established with the mean values of 0.74 and 0.83 kWhkg-1d-1 for BOD5 and COD respectively. An attempt was made to determine the influence of raw sewage characteristics and pretreatment efficiency on energy consumption of the object. A model of energy consumption during pretreatment was estimated according to the experimental data obtained in the research period. It was modeled using the linear regression model and principal component analysis.

  8. Energy consumption modeling during dairy sewage pretreatment

    Directory of Open Access Journals (Sweden)

    Dąbrowski Wojciech

    2017-01-01

    Full Text Available The research was conducted in a dairy WWTP located in north-eastern Poland with the average flow of 546 m3d-1 and PE 11500 in 2016. Energy consumption was measured with the help of Lumel 3-phase network parameter transducers installed within the plant. The modeling was conducted based on the quantity and quality of raw sewage, after its screening, averaging and dissolved air flotation. The following parameters were determined: BOD5, COD. N-total and P-total. During the research period. 15 measurement series were carried out. Pollution loads removed in primary treatment varied from 167.0 to 803.5 kgO2d-1 and 1205.9 to 10032 kgO2d-1 for BOD5 and COD respectively. The energy consumption share during dairy pretreatment in relation to the total energy consumption was in the range from 13.8 to 28.5% with the mean value of 18.7% during the research period. Energy consumption indicators relating to removed pollution loads for primary treatment were established with the mean values of 0.74 and 0.83 kWhkg-1d-1 for BOD5 and COD respectively. An attempt was made to determine the influence of raw sewage characteristics and pretreatment efficiency on energy consumption of the object. A model of energy consumption during pretreatment was estimated according to the experimental data obtained in the research period. It was modeled using the linear regression model and principal component analysis.

  9. 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.)

  10. Energy Consumption of Fast Ferries in Danish Domestic Transport

    DEFF Research Database (Denmark)

    Petersen, Morten Steen; Jørgensen, Kaj

    1997-01-01

    Analysis of energy consumption in connection with selected passenger transport trip chains. In particular the publication aims to evaluate the energy consumption of fast ferries in Denmark.......Analysis of energy consumption in connection with selected passenger transport trip chains. In particular the publication aims to evaluate the energy consumption of fast ferries in Denmark....

  11. 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

  12. 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.)

  13. Computer Profile of School Facilities Energy Consumption.

    Science.gov (United States)

    Oswalt, Felix E.

    This document outlines a computerized management tool designed to enable building managers to identify energy consumption as related to types and uses of school facilities for the purpose of evaluating and managing the operation, maintenance, modification, and planning of new facilities. Specifically, it is expected that the statistics generated…

  14. Cities and Energy Consumption: a Critical Review

    Directory of Open Access Journals (Sweden)

    Carmela Gargiulo

    2017-12-01

    Full Text Available The relationship between cities and energy consumption has been of great interest for the scientific community for over twenty years. Most of the energy consumption, indeed, occurs in cities because of the high concentration of human activities. Thus, cities are responsible for a big share of carbon dioxide emissions (CO2. However, the debate on this topic is still open, mainly because of the heterogeneity of published studies in the selection, definition and measurement of the urban features influencing energy consumption and CO2 emissions, as well as in the choice of the energy sectors to be considered, in the territorial scale of analysis, and in the geographical distribution of the sample. Therefore, the goal of this research is to systematize and compare the approach, methodology and results of the relevant literature on the relationship between cities and energy consumption over the last twenty years. Furthermore, this critical review identifies the knowledge gap between what is known and what is still under debate and, based on that, it proposes a conceptual framework that will help to outline a new direction for future research and support local policy makers in the definition of strategies and actions that can effectively reduce urban energy use and CO2 emissions.

  15. Energy consumption in static muscle contraction

    NARCIS (Netherlands)

    Koerhuis, CL; Hof, AL; van der Heide, F.M.

    Energy consumption during static contraction of the human triceps surae muscles was studied in 11 healthy subjects. The subjects had to stand intermittently on the left and then right foot at different frequencies (for periods of 15 s, 10 s or 5 s), first on the whole foot and then on the forefoot.

  16. Energy consumption and conservation in food retailing

    International Nuclear Information System (INIS)

    Tassou, S.A.; Ge, Y.; Hadawey, A.; Marriott, D.

    2011-01-01

    The total annual CO 2 emissions associated with the energy consumption of the major retail food outlets in the UK amount to around 4.0 MtCO 2 . The energy consumption and emissions from supermarkets varies widely and can depend on many factors such as the type and size of the store, business and merchandising practices and refrigeration and environmental control systems used. This paper provides energy consumption data of a sample of 2570 retail food stores from a number of major retail food chains in the UK. The sample covers all major store categories from convenience stores to hypermarkets and includes approximately 30% of the total number of stores in the UK having a net sales area more than 280 m 2 . The data show a wide variability of energy intensity even within stores of the same retail chain. A power law can be used to describe the variation of the average electrical energy intensity of the stores in the sample with sales area. If the electrical intensity of the stores above the average is reduced to the average by energy conservation measures, annual energy savings of the order of 10% or 840 GWh can be achieved representing 355,000 tonnes annual reduction in CO 2 emissions. The paper also discusses the major energy consuming processes in retail food stores and identifies opportunities for energy savings. - Research highlights: → Energy consumption by supermarkets in the UK is significant and a wide variability exists between stores of similar size. → Energy conservation measures to reduce energy consumption of individual stores to the average can produce a0% energy savings. → Significant opportunities for energy savings exist from the integration of HVAC and refrigeration equipment.

  17. 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.

  18. Michigan residential heating oil and propane price survey: 1995-1996 heating season. Final report

    International Nuclear Information System (INIS)

    Moriarty, C.

    1996-05-01

    This report summarizes the results of a survey of residential No. 2 distillate fuel (home heating oil) and liquefied petroleum gas (propane) prices over the 1995--1996 heating season in Michigan. The Michigan's Public Service Commission (MPSC) conducted the survey under a cooperative agreement with the US Department of Energy's (DOE) Energy Information Administration (EIA). This survey was funded in part by a grant from the DOE. From October 1995 through March 1996, the MPSC surveyed participating distributors by telephone for current residential retail home heating oil and propane prices. The MPSC transmitted the data via a computer modem to the EIA using the Petroleum Electronic Data Reporting Option (PEDRO). Survey results were published in aggregate on the MPSC World Wide Web site at http://ermisweb.state.mi.us/shopp. The page was updated with both residential and wholesale prices immediately following the transmission of the data to the EIA. The EIA constructed the survey using a sample of Michigan home heating oil and propane retailers. The sample accounts for different sales volumes, geographic location, and sources of primary supply

  19. National survey 2004 on medical services for persons with intellectual disability in residential care in Israel.

    Science.gov (United States)

    Merrick, Joav; Kandel, Isack; Raskas, Mordechai; Caplan, Lee; Morad, Mohammed

    2010-01-01

    In Israel, the Office of the Medical Director of the Ministry of Social Affairs is responsible for the medical service in residential-care centers for persons with intellectual disability (ID). A standard annual questionnaire was developed during 1997-1998, and the first national survey study was conducted in 1998. This present paper presents the findings of the seventh national survey in 2004, for which the following information was gathered via questionnaires: age, gender, and level of intellectual disability of persons served at the residential care center in question, status of the population served, functional profile, nursing, medical, and allied professional staff, number of annual examinations, preventive medicine aspects, medications, number of annual cases of infectious disease, annual unintentional injuries, number of deaths, number of hospitalizations, internal residential center hospitalization, ambulatory out-patient use, use of outside laboratory examinations, and dental care. In 2004, 6,610 persons were served in nine government, 37 private, and 12 public centers. The average number of persons served per center was 113.97 (range 23 to 372). The survey in 2004 showed that 79.2% of the population with ID in residential care in Israel was between 20 and 60 years of age; 48.8% had severe or profound ID, 41% had moderate ID, and 10% had mild ID; 23% were nursing patients; 19% were confined to a wheelchair; 31% had epilepsy; 83% were receiving medication daily for chronic illness; and 52.5% were receiving psychotropic medication for psychiatric illness.

  20. National survey 2007 on medical services for persons with intellectual disability in residential care in Israel.

    Science.gov (United States)

    Merrick, Joav; Kandel, Isack; Lotan, Meir; Aspler, Shoshana; Fuchs, Brian Seth; Morad, Mohammed

    2010-01-01

    In Israel, the Office of the Medical Director of the Ministry of Social Affairs is responsible for the medical service in residential-care centers for persons with intellectual disability (ID). A standard annual questionnaire was developed during 1997-1998, and the first national survey study was conducted in 1998. This present paper presents the findings of the seventh national survey in 2007, for which the following information was gathered via questionnaires: age, gender, and level of intellectual disability of persons served at the residential care center in question, status of the population served, functional profile, nursing, medical, and allied professional staff, number of annual examinations, preventive medicine aspects, medications, number of annual cases of infectious disease, annual unintentional injuries, number of deaths, number of hospitalizations, internal residential center hospitalization, ambulatory out-patient use, use of outside laboratory examinations, and dental care. In 2007, 6,872 persons were served in 9 government, 37 private, and 13 public centers. The average number of persons served per center was 116.47 (range 24 to 341). The survey in 2007 showed that 79% of the population with ID in residential care in Israel was between the ages of 20 and 60 years old, 44% with severe or profound ID, 43% with moderate and 13% with mild ID. Twenty-seven percent were nursing patients, and 18% were confined to a wheelchair, 34% had epilepsy, 86% were found to be receiving medication daily for chronic illness, and 51% received psychotropic medication for psychiatric illness.

  1. Simulation Tool For Energy Consumption and Production

    DEFF Research Database (Denmark)

    Nysteen, Michael; Mynderup, Henrik; Poulsen, Bjarne

    2013-01-01

    as a controller unit of the user’s choice. The results of the simulations can be compared using a dynamic reporting window that allows the user to create custom charts of the data. The application has been designed such that it can easily be extended with additional controller units, price and weather data......In order to promote adoption of smart grid with the general public it is necessary to be able to visualize the benefits of a smart home. Software tools that model the effects can help significantly with this. However, only little work has been done in the area of simulating and visualizing...... the energy consumption in smart homes. This paper presents a prototype simulation tool that allows graphical modeling of a home. Based on the modeled homes the user is able to simulate the energy consumptions and compare scenarios. The simulations are based on dynamic weather and energy price data as well...

  2. Estimates of US biomass energy consumption 1992

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-06

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  3. Estimates of US biomass energy consumption 1992

    International Nuclear Information System (INIS)

    1994-01-01

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large

  4. 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.

  5. Energy consumption and temperature correlations for 4 Greek Ionian Sea islands

    Science.gov (United States)

    Psiloglou, B.; Giannakopoulos, C.; Dagoumas, A.; Skourtis, K.

    2012-04-01

    Energy consumption, especially for space heating and cooling, is linked to several weather variables, mainly air temperature. This study investigates the relationship between residential energy consumption load demand and daily mean air temperature for 4 Greek islands in the Ionian Sea for the period 2005-2011.These islands are Zante, Cephallonia, Corfu and Lefkada and were selected due to their data availability as they are interconnected to the mainland power distribution system. We present the time series of diurnal, daily, monthly and yearly variations of energy consumption for each of the selected sites and subsequently identify correlations with mean daily air temperature. Several effects such as weekly and holiday effects, unrelated to weather conditions, can be detected. Daily and monthly seasonal effects have been studied separately to isolate the weather influence on energy consumption. The most important finding, however, is the outstanding increase in consumption during the tourism season. Depending on the island, increased levels of consumption are present for 4,5 or more months per year, related to tourists arrivals on the island. This effect combined with energy consumption peaks on the hot days of the year should be taken into account during energy conservation planning.

  6. Urban transport energy consumption: Belgrade case study

    Directory of Open Access Journals (Sweden)

    Jovanović Miomir M.

    2015-01-01

    Full Text Available More than half of the global population now lives in towns and cities. At the same time, transport has become the highest single energy-consuming human activity. Hence, one of the major topics today is the reduction of urban transport demand and of energy consumption in cities. In this article we focused on the whole package of instruments that can reduce energy consumption and transport demand in Belgrade, a city that is currently at a major crossroad. Belgrade can prevent a dramatic increase in energy consumption and CO2 emissions (and mitigate the negative local environmental effects of traffic congestion, traffic accidents and air pollution, only if it: 1 implements a more decisive strategy to limit private vehicles use while its level of car passenger km (PKT is still relatively low; 2 does not try to solve its transport problems only by trying to build urban road infrastructure (bridges and ring roads; and 3 if it continues to provide priority movement for buses (a dominant form of public transport, while 4 at the same time developing urban rail systems (metro or LRT with exclusive tracks, immune to the traffic congestion on urban streets. [Projekat Ministarstva nauke Republike Srbije, br. 37010

  7. Examining the role of information exchange in residential aged care work practices-a survey of residential aged care facilities

    Directory of Open Access Journals (Sweden)

    Gaskin Sarah

    2012-08-01

    Full Text Available Abstract Background The provision of residential aged care is underpinned by information, and is reliant upon systems that adequately capture and effectively utilise and communicate this information. The aim of this study was to explicate and quantify the volume and method by which information is collected, exchanged within facilities and with external providers, and retrieved from facility information systems and hospitals. Methods A survey of staff (n = 119, including managers, health informatics officers (HIOs, quality improvement staff, registered nurses (RNs, enrolled nurses (ENs/endorsed enrolled nurses (EENs and assistants in nursing (AINs was carried out in four residential aged care facilities in New South Wales and Victoria, Australia. Sites varied in size and displayed a range of information technology (IT capabilities. The survey investigated how and by whom information is collected, retrieved and exchanged, and the frequency and amount of time devoted to these tasks. Descriptive analysis was performed using SPSS, and open responses to questions were coded into key themes. Results Staff completed a median of six forms each, taking a median of 30 min per shift. 68.8% of staff reported transferring information from paper to a computer system, which took a median of 30 min per shift. Handover and face-to-face communication was the most frequently used form of information exchange within facilities. There was a large amount of faxing and telephone communication between facility staff and General Practitioners and community pharmacists, with staff reporting sending a median of 2 faxes to pharmacy and 1.5 faxes to General Practitioners, and initiating 2 telephone calls to pharmacies and 1.5 calls to General Practitioners per shift. Only 38.5% of respondents reported that they always had information available at the point-of-care and only 35.4% of respondents reported that they always had access to hospital stay information of residents

  8. Estimation of urban residential electricity demand in China using household survey data

    International Nuclear Information System (INIS)

    Zhou, Shaojie; Teng, Fei

    2013-01-01

    This paper uses annual urban household survey data of Sichuan Province from 2007 to 2009 to estimate the income and price elasticities of residential electricity demand, along with the effects of lifestyle-related variables. The empirical results show that in the urban area of Sichuan province, the residential electricity demand is price- and income-inelastic, with price and income elasticities ranging from −0.35 to −0.50 and from 0.14 to 0.33, respectively. Such lifestyle-related variables as demographic variables, dwelling size and holdings of home appliances, are also important determinants of residential electricity demand, especially the latter. These results are robust to a variety of sensitivity tests. The research findings imply that urban residential electricity demand continues to increase with the growth of income. The empirical results have important policy implications for the Multistep Electricity Price, which been adopted in some cities and is expected to be promoted nationwide through the installation of energy-efficient home appliances. - Highlights: • We estimate price and income elasticities in China using household survey data. • The current study is the first such study in China at this level. • Both price and income are inelastic. • Behavior factors have important impact on electricity consumption

  9. Comparison and Evolution of Energy Consumption in Moroccan Agro-food Industries

    Science.gov (United States)

    El Badaoui, Meryem; Touzani, Abdellatif

    2017-06-01

    The aim of this article is to establish a comparison between the Moroccan energy consumption and the BREF the reference document on best available techniques in the food industries, then an evolution of this consumption by 2030 in order to better understand it and to define strategies to reduce energy bill. According to a survey conducted among 5000 Moroccan companies, we were able to compare the energy consumption of the agro-food industries including sugar industry, dairy industry, cereal industry; fatty substances industry and fishing industry with that of the BREF. Also an evolution of Moroccan consumption was established by 2030 using the linear regression method, and then calculated a non-negligible average annual growth rate (AAGR). The results show that the Moroccan energy consumption is adequate to that of the BREF, and an energy consumption constantly increasing by registering a non-negligible AAGR.

  10. 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

  11. 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.

  12. Renewable energy consumption and unemployment in South Africa

    OpenAIRE

    Moyo, Clement; Dingela, Siyasanga; Kolisi, Nwabisa; Khobai, Hlalefang; Anyikwa, Izunna

    2017-01-01

    The importance of renewable energy consumption has grown to a large extent over the recent years. The benefits of renewable energy consumption ranging from improved environmental quality to higher economic growth are well documented. However, the impact of renewable energy consumption on unemployment has received relatively less attention. This study examines the relationship between renewable energy consumption and unemployment in South Africa over the period 1990-2014. The Autoregressive Di...

  13. Comparative survey of outdoor, residential and workplace radon concentrations

    International Nuclear Information System (INIS)

    Barros, Nirmalla; Field, R. William; Field, Dan W.; Steck, Daniel J.

    2015-01-01

    This study investigated radon concentrations in above-ground (i.e. first floor) workplace in Missouri and compared them with above-ground radon concentrations in nearby homes and outdoor locations. This study also examined the potential utility of using home and outdoor radon concentrations to predict the radon concentration at a nearby workplace (e.g. county agencies and schools). Even though workplace radon concentrations were not statistically different from home radon concentrations, the radon concentration at a particular home, or outdoor location, was a poor predictor of the radon concentration at a nearby workplace. Overall, 9.6 and 9.9 % of homes and workplace, respectively, exhibited radon concentrations of ≥148 Bq m -3 . Because of the percentage of workplace with elevated radon concentrations, the results suggest that additional surveys of workplace radon concentrations are needed, especially in areas of high radon potential, to assess the contribution of workplace radon exposure to an individual's overall radon exposure. (authors)

  14. Data mining, mining data : energy consumption modelling

    Energy Technology Data Exchange (ETDEWEB)

    Dessureault, S. [Arizona Univ., Tucson, AZ (United States)

    2007-09-15

    Most modern mining operations are accumulating large amounts of data on production and business processes. Data, however, provides value only if it can be translated into information that appropriate users can utilize. This paper emphasized that a new technological focus should emerge, notably how to concentrate data into information; analyze information sufficiently to become knowledge; and, act on that knowledge. Researchers at the Mining Information Systems and Operations Management (MISOM) laboratory at the University of Arizona have created a method to transform data into action. The data-to-action approach was exercised in the development of an energy consumption model (ECM), in partnership with a major US-based copper mining company, 2 software companies, and the MISOM laboratory. The approach begins by integrating several key data sources using data warehousing techniques, and increasing the existing level of integration and data cleaning. An online analytical processing (OLAP) cube was also created to investigate the data and identify a subset of several million records. Data mining algorithms were applied using the information that was isolated by the OLAP cube. The data mining results showed that traditional cost drivers of energy consumption are poor predictors. A comparison was made between traditional methods of predicting energy consumption and the prediction formed using data mining. Traditionally, in the mines for which data were available, monthly averages of tons and distance are used to predict diesel fuel consumption. However, this article showed that new information technology can be used to incorporate many more variables into the budgeting process, resulting in more accurate predictions. The ECM helped mine planners improve the prediction of energy use through more data integration, measure development, and workflow analysis. 5 refs., 11 figs.

  15. Optimization Models and Methods for Demand-Side Management of Residential Users: A Survey

    Directory of Open Access Journals (Sweden)

    Antimo Barbato

    2014-09-01

    Full Text Available The residential sector is currently one of the major contributors to the global energy balance. However, the energy demand of residential users has been so far largely uncontrollable and inelastic with respect to the power grid conditions. With the massive introduction of renewable energy sources and the large variations in energy flows, also the residential sector is required to provide some flexibility in energy use so as to contribute to the stability and efficiency of the electric system. To address this issue, demand management mechanisms can be used to optimally manage the energy resources of customers and their energy demand profiles. A very promising technique is represented by demand-side management (DSM, which consists in a proactive method aimed at making users energy-efficient in the long term. In this paper, we survey the most relevant studies on optimization methods for DSM of residential consumers. Specifically, we review the related literature according to three axes defining contrasting characteristics of the schemes proposed: DSM for individual users versus DSM for cooperative consumers, deterministic DSM versus stochastic DSM and day-ahead DSM versus real-time DSM. Based on this classification, we provide a big picture of the key features of different approaches and techniques and discuss future research directions.

  16. 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.

  17. Managing environmental aspects resulting from energy consumption

    International Nuclear Information System (INIS)

    2001-01-01

    Human health and environmental impacts of fossil fuel energy consumptions are examined and the ongoing effort to align energy management plans with sustainable development strategies and environmental management systems is described. Human health impacts are manifested in mortality rates, hospital admissions, visits to emergency rooms and physicians' offices, reduced physical performance, increase in the use of medications, impaired pulmonary function and a variety of lesser (or less perceptible) effects. Environmental impacts are demonstrated through climatic change, increase in greenhouse gas emissions, increase in smog, acid rain, and soil, groundwater and surface water contamination. The importance of commitment, integrated planning, measurement and evaluation, periodic review and improvement and documentation in aligning energy and environmental management plans are highlighted, along with the need for behavioral and operational changes, the creation of employee awareness and training, and the adoption of green procurement and life cycle costing. Adoption of the ISO 14000 approach to managing energy consumption is also seen as an important step in the direction of integrated energy and environmental management and sustainable development

  18. Comparing the Life Cycle Energy Consumption, Global ...

    Science.gov (United States)

    Managing the water-energy-nutrient nexus for the built environment requires, in part, a full system analysis of energy consumption, global warming and eutrophication potentials of municipal water services. As an example, we evaluated the life cycle energy use, greenhouse gas (GHG) emissions and aqueous nutrient releases of the whole anthropogenic municipal water cycle starting from raw water extraction to wastewater treatment and reuse/discharge for five municipal water and wastewater systems. The assessed options included conventional centralized services and four alternative options following the principles of source-separation and water fit-for-purpose. The comparative life cycle assessment identified that centralized drinking water supply coupled with blackwater energy recovery and on-site greywater treatment and reuse was the most energyand carbon-efficient water service system evaluated, while the conventional (drinking water and sewerage) centralized system ranked as the most energy- and carbon-intensive system. The electricity generated from blackwater and food residuals co-digestion was estimated to offset at least 40% of life cycle energy consumption for water/waste services. The dry composting toilet option demonstrated the lowest life cycle eutrophication potential. The nutrients in wastewater effluent are the dominating contributors for the eutrophication potential for the assessed system configurations. Among the parameters for which variability

  19. Oil pipeline energy consumption and efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Hooker, J.N.

    1981-01-01

    This report describes an investigation of energy consumption and efficiency of oil pipelines in the US in 1978. It is based on a simulation of the actual movement of oil on a very detailed representation of the pipeline network, and it uses engineering equations to calculate the energy that pipeline pumps must have exerted on the oil to move it in this manner. The efficiencies of pumps and drivers are estimated so as to arrive at the amount of energy consumed at pumping stations. The throughput in each pipeline segment is estimated by distributing each pipeline company's reported oil movements over its segments in proportions predicted by regression equations that show typical throughput and throughput capacity as functions of pipe diameter. The form of the equations is justified by a generalized cost-engineering study of pipelining, and their parameters are estimated using new techniques developed for the purpose. A simplified model of flow scheduling is chosen on the basis of actual energy use data obtained from a few companies. The study yields energy consumption and intensiveness estimates for crude oil trunk lines, crude oil gathering lines and oil products lines, for the nation as well as by state and by pipe diameter. It characterizes the efficiency of typical pipelines of various diameters operating at capacity. Ancillary results include estimates of oil movements by state and by diameter and approximate pipeline capacity utilization nationwide.

  20. The 1992 Pacific Northwest Residential Energy Survey: Phase 1 : Book 1 : Getting Started.

    Energy Technology Data Exchange (ETDEWEB)

    Applied Management & Planning Group (firm); United States. Bonneville Power Administration. End-Use Research Section.

    1993-08-01

    This Executive Summary outlines the general processes employed in and the major findings from the conduct of Phase I of the Pacific Northwest Residential Energy Survey (PNWRES92-I) during the last quarter of 1992. This study was Bonneville`s third comprehensive residential survey of the region, conducted to provide data on energy usage, conservation awareness and behaviors, and associated consumer characteristics for use in forecasting and planning. The summary is divided into four sections: Background sets the stage with respect to the need for the survey, relates it to previous work, outlines the implementation processes, and summarizes the data products. Profiling the respondents summarizes the survey results under these six categories: Demographics; Housing Units; Room Inventory; Appliance Inventory; Air-Conditioning/Heating; Water-Heating; and Opinion. Reports and cross-tabulations describes the various individual documents. Bonneville Power Plus provides a short description of an Excel-spreadsheet-based software program that contains all of the tabulated material in a format that encourages browsing among the tables and charts, with special feature that they can be copied directly into other Windows-based documents.

  1. Energy consumption maps for quaternary distillation sequences

    DEFF Research Database (Denmark)

    Gomez-Castro, F.I.; Ramírez-Vallejo, N.E.; Segovia-Hernandez, J.G.

    2016-01-01

    be generated for the separation of multicomponent mixtures. This fact is an advantage, since a wide portfolio of alternatives can be used to separate a specific mixture; however, this is also a disadvantage since a lot of alternatives must be explored in order to find the optimal one. The optimal configuration...... of the solutions space. For the separation of ternary mixtures, Tedder and Rudd (1978) presented a composition map for which thermally coupled systems allowed energy savings. However, the scenario is different for quaternary mixtures, since no similar information is available. Therefore, in this work, energy...... consumption data for five feed compositions for a mixture near to ideality are presented. The quaternary sequences studied are: conventional direct (three columns), conventional indirect (three columns), thermally coupled direct (main column and two side rectifiers), and thermally coupled indirect (main...

  2. Global energy consumption for direct water use

    Science.gov (United States)

    Liu, Y.; Hejazi, M. I.; Kim, S. H.; Kyle, P.; Davies, E. G.; Miralles, D. G.; Teuling, R.; He, Y.; Niyogi, D.

    2015-12-01

    Despite significant efforts to quantify the mutual inter-dependence of the water and energy sectors, global energy for water (EFW) remains poorly understood, resulting in biases in energy accounting that directly affect water and energy management and policy. We firstly evaluate the global energy consumption for direct water use from 1973 to 2012 with sectoral, regional and process-level details. Over the 40-year period, we detected multiple shifts in EFW by county and region. For example, we find that India, the Middle East and China have surpassed the United States as the three largest consumers of EFW since 2003, mostly because of rapid growth in groundwater-based irrigation, desalination, and industrial and municipal water use, respectively. Globally, EFW accounts for 1-3% of total primary energy consumption in 2010, of which 52% is surface water, 36% is groundwater, and 12% is non-fresh water. The sectoral allocation of EFW includes municipal (45%), industrial (29%), and agricultural use (26%), and process-level contributions are from source/conveyance (41%), water purification (19%), water distribution (13%) and wastewater treatment (22%). Our evaluation suggests that the EFW may increase in importance in the future due to growth in population and income, and depletion of surface and shallow aquifer water resources in water-scarce regions. We are incorporating this element into an integrated assessment model (IAM) and linking it back to energy balance within that IAM. By doing this, we will then explore the impacts of EFW on the global energy market (e.g., changes in the share of groundwater use and desalination), and the uncertainty of future EFW under different shared social pathway (SSP) and representative concentration pathway (RCP) scenarios, and consequences on the emission of greenhouse gases as well. We expect these EFW induced impacts will be considerable, and will then have significant implications for adaptive management and policy making.

  3. Exploring energy consumption and demand in China

    International Nuclear Information System (INIS)

    Fan, Ying; Xia, Yan

    2012-01-01

    China has been experiencing industrialization and urbanization since reform and opening of its economy in 1978. Energy consumption in the country has featured issues such as a coal-dominated energy mix, low energy efficiency and high emissions. Thus, it is of great importance to explore the factors driving the increase in energy consumption in the past two decades and estimate the potential for decreasing energy demands in the future. In this paper a hybrid energy input–output model is used to decompose driving factors to identify how these factors impact changes in energy intensity. A modified RAS approach is applied to project energy requirements in a BAU scenario and an alternative scenario. The results show that energy input mix, industry structure and technology improvements have major influences on energy demand. Energy demand in China will continue to increase at a rapid rate if the economy develops as in the past decades, and is projected to reach 4.7 billion tce in 2020. However, the huge potential for a decrease cannot be neglected, since growth could be better by adjusting the energy mix and industrial structure and enhancing technology improvements. The total energy demand could be less than 4.0 billion tce in 2020. -- Highlights: ► In this paper a hybrid energy input–output model is used to decompose driving factors to China’s energy intensity change. ► A modified RAS approach is applied to project energy requirements in China. ► The results show that energy input mix, industry structure and technology improvements have major influences on energy demand. ► Energy demand in China will reach 4.7 billion ton in 2020 if the economy develops as in the past decades. ► There is a huge potential for a decrease of energy demand by adjusting the energy mix and industrial structure and enhancing technology improvements.

  4. Nuclear energy consumption and economic growth in nine developed countries

    International Nuclear Information System (INIS)

    Wolde-Rufael, Yemane; Menyah, Kojo

    2010-01-01

    This article attempts to test the causal relationship between nuclear energy consumption and real GDP for nine developed countries for the period 1971-2005 by including capital and labour as additional variables. Using a modified version of the Granger causality test developed by Toda and Yamamoto (1995), we found a unidirectional causality running from nuclear energy consumption to economic growth in Japan, Netherlands and Switzerland; the opposite uni-directional causality running from economic growth to nuclear energy consumption in Canada and Sweden; and a bi-directional causality running between economic growth and nuclear energy consumption in France, Spain, the United Kingdom and the United States. In Spain, the United Kingdom and the USA, increases in nuclear energy consumption caused increases in economic growth implying that conservation measures taken that reduce nuclear energy consumption may negatively affect economic growth. In France, Japan, Netherlands and Switzerland increases in nuclear energy consumption caused decreases in economic growth, suggesting that energy conservation measure taken that reduce nuclear energy consumption may help to mitigate the adverse effects of nuclear energy consumption on economic growth. In Canada and Sweden energy conservation measures affecting nuclear energy consumption may not harm economic growth.

  5. Energy information. Status, cost, and need for energy, consumption and fuel switching data

    International Nuclear Information System (INIS)

    Fultz, Keith O.; Milans, Flora H.; Hale, Richard A.; Weaver, Joanne E.; D'Amico, Nicholas C.

    1989-04-01

    In 1986, EIA's Manufacturing Energy Consumption Survey collected calendar year 1985 fuel switching and energy consumption information from a sample of manufacturers. Although the construction, agriculture, mining, fishing, and forestry segments of the industrial sector were not surveyed, in 1985 the manufacturing segment accounted for about 75 to 80 percent of the total energy consumed in the industrial sector. The results of the energy consumption segment of the survey were published in November 1988, and the results of the fuel switching segment were published in December 1988. In 1989, EIA will conduct the second triennial survey, collecting energy consumption and fuel switching data for 1988. EIA estimated that the cost of the survey to the U.S. government, consisting of EIA and Census Bureau costs to design and conduct the survey, was about $1.8 million (in 1988 dollars) and that the cost to the manufacturers participating in the survey was more than $4 million (in 1988 dollars). According to EIA's justification to the Office of Management and Budget (OMB) for the survey, most of the potential users of the survey data were federal offices. Officials of seven of the eight federal offices we contacted indicated various uses for the energy consumption data, such as updating the national input-output tables and energy accounts, analyzing the competitiveness of U.S. industries, and doing energy emergency contingency planning. Officials of five of the eight federal offices indicated uses for the fuel switching data and most frequently cited its use for contingency planning for emergencies or supply disruptions. EIA's justification to OMB also identified 17 states as potential users, but officials of the 3 state offices that we contacted told us that the EIA data would not be useful because it cannot be summarized for individual states

  6. Residential energy use and conservation in Venezuela: Results and implications of a household survey in Caracas

    Energy Technology Data Exchange (ETDEWEB)

    Figueroa, M.J.; Ketoff, A.; Masera, O.

    1992-10-01

    This document presents the final report of a study of residential energy use in Caracas, the capital of Venezuela. It contains the findings of a household energy-use survey held in Caracas in 1988 and examines options for introducing energy conservation measures in the Venezuelan residential sector. Oil exports form the backbone of the Venezuelan economy. Improving energy efficiency in Venezuela will help free domestic oil resources that can be sold to the rest of the world. Energy conservation will also contribute to a faster recovery of the economy by reducing the need for major investments in new energy facilities, allowing the Venezuelan government to direct its financial investments towards other areas of development. Local environmental benefits will constitute an important additional by-product of implementing energy-efficiency policies in Venezuela. Caracas`s residential sector shows great potential for energy conservation. The sector is characterized by high saturation levels of major appliances, inefficiency of appliances available in the market, and by careless patterns of energy use. Household energy use per capita average 6.5 GJ/per year which is higher than most cities in developing countries; most of this energy is used for cooking. Electricity accounts for 41% of all energy use, while LPG and natural gas constitute the remainder. Specific options for inducing energy conservation and energy efficiency in Caracas`s residential sector include energy-pricing policies, fuel switching, particularly from electricity to gas, improving the energy performance of new appliances and customer information. To ensure the accomplishment of an energy-efficiency strategy, a concerted effort by energy users, manufacturers, utility companies, government agencies, and research institutions will be needed.

  7. Is more always better? The nonlinear relationship between energy consumption and wellbeing

    Science.gov (United States)

    Vaughan Winfrey, Elise Marie

    Policymakers today face rapidly expanding world populations, increasing evidence of environmental degradation and climate change, and mounting economic crises. In this context, they are grappling with the challenge of balancing environmental concerns, economic viability, and the wellbeing of their citizens. Because energy consumption has both positive and negative wellbeing implications, it is unclear whether societal goals to raise standards of living through energy-intensive lifestyles conflict with the social, economic, environmental, and health dimensions of broader wellbeing aspirations. Though there has been a significant amount of research on the long-run environmental consequences of increasing aggregate world energy demand, there is a lack of direct evidence on the relationship between energy consumption and wellbeing. This paper attempts to improve our understanding of the net wellbeing consequences of energy consumption. Specifically, it examines whether there is a nonlinear relationship between per capita energy consumption, as measured alternatively by CO2 emissions (metric tons per capita), electricity consumption (kWh per capita), and total energy consumption (kg of oil equivalent per capita), and wellbeing, as measured by individual life satisfaction aggregated at the country level. Panel and cross-sectional regression analyses are conducted using data from the Gallup World Poll (GWP), integrated European and World Values Surveys (WVS-EVS), and the World Bank DataBank (WBDB). Despite the classic economic assumption that more is always better, this analysis indicates that increasing energy consumption is not always associated with wellbeing improvements. The empirical results provide some suggestive evidence that life satisfaction gains associated with energy consumption may eventually be counterbalanced by the related human and environmental costs. This is valuable information for policymakers trying to balance environmental, energy-security, and

  8. Survey of available technology for the improvement of gas-fired residential heating equipment. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Putnam, A.A.; Talbert, S.G.; Vergara, R.D.; Levy, A.; DeWerth, D.W.; Norris, T.R.

    1979-08-01

    Available technology was surveyed as to possible application to more efficient gas-fired comfort heating and water heating in residences. Objectives were (1) to evaluate energy saving modifications and design approaches, including both retrofit and new systems, and (2) to identify RD and D required to bring to the marketplace those concepts that have a reasonable payback period. Over 60 concepts, including both retrofit devices and new designs, were identified on the basis of the study of the technical literature and discussions with various segments of industry. After evaluating each concept on the basis of expected initial cost, energy consumption, and operating cost, those concepts with a reasonably short payback period were considered from the point of view of RD and D needs. A principal recommendation covering several specific concepts was the study of condensing heat-exchanger systems. RD and D was recommended on both mechanical and aerodynamically valved pulse combustors, radiant burners, catalytic systems, heat pipe systems, self-powered heating units, and gas-fired heat pumps. Relative to retrofit concepts, recommendations covered the effects of derating on furnace corrosion and the methodology for predicting savings in individual homes. Need was also indicated for a methodology to optimize sizing of heating units and for data on energy demand requirements for integrated appliances. General recommendations related to systems control analysis, minimum venting requirements, and combustion air requirements in tight homes.

  9. 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.)

  10. A framework for characterising energy consumption of machining manufacturing systems

    OpenAIRE

    Li, Yufeng; He, Yan; Wang, Yan; Yan, Ping; Liu, Xuehui

    2013-01-01

    Energy consumption in machining manufacturing systems is increasingly of interest due to concern for global climate change and manufacturing sustainability. To utilise energy more effectively, it is paramount to understand and characterise the energy consumption of machining manufacturing systems. To this end, a framework to analyse energy consumption characteristics in machining manufacturing systems from a holistic point of view is proposed in this paper. Taking into account the complexity ...

  11. Quantification model for energy consumption in edification

    Directory of Open Access Journals (Sweden)

    Mercader, Mª P.

    2012-12-01

    Full Text Available The research conducted in this paper focuses on the generation of a model for the quantification of energy consumption in building. This is to be done through one of the most relevant environmental impact indicators associated with weight per m2 of construction, as well as the energy consumption resulting from the manufacturing process of materials used in building construction. The practical application of the proposed model on different buildings typologies in Seville, will provide information regarding the building materials, the subsystems and the most relevant construction elements. Hence, we will be able to observe the impact the built surface has on the environment. The results obtained aim to reference the scientific community, providing quantitative data comparable to other types of buildings and geographical areas. Furthermore, it may also allow the analysis and the characterization of feasible solutions to reduce the environmental impact generated by the different materials, subsystems and construction elements commonly used in the different building types defined in this study.

    La investigación realizada en el presente trabajo plantea la generación de un modelo de cuantificación del consumo energético en edificación, a través de uno de los indicadores de impacto ambiental más relevantes asociados al peso por m2 de construcción, el consumo energético derivado del proceso de fabricación de los materiales de construcción empleados en edificación. La aplicación práctica del modelo propuesto sobre diferentes tipologías edificatorias en Sevilla aportará información respecto a los materiales de construcción, subsistemas y elementos constructivos más impactantes, permitiendo visualizar la influencia que presenta la superficie construida en cuanto al impacto ambiental generado. Los resultados obtenidos pretenden servir de referencia a la comunidad científica, aportando datos num

  12. 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

  13. Uncertainty of Energy Consumption Assessment of Domestic Buildings

    DEFF Research Database (Denmark)

    Brohus, Henrik; Heiselberg, Per; Simonsen, A.

    2009-01-01

    In order to assess the influence of energy reduction initiatives, to determine the expected annual cost, to calculate life cycle cost, emission impact, etc. it is crucial to be able to assess the energy consumption reasonably accurate. The present work undertakes a theoretical and empirical study...... of the uncertainty of energy consumption assessment of domestic buildings. The calculated energy consumption of a number of almost identical domestic buildings in Denmark is compared with the measured energy consumption. Furthermore, the uncertainty is determined by means of stochastic modelling based on input...

  14. Motivating sustainable energy consumption in the home

    Energy Technology Data Exchange (ETDEWEB)

    He, H.A.; Greenberg, S. [Calgary Univ., AB (Canada). Dept. of Computer Science

    2009-07-01

    This paper discussed social motivations related to household energy conservation. The aim of the study was to explore how technology can be designed and used in the home to encourage sustainable energy use. The basic techniques used to motivate sustainable energy action included behaviour change techniques; information techniques; positive motivational techniques; and coercive motivational techniques. The psychological theories used in the study included cognitive dissonance as a means of reminding people of the inconsistency of their attitudes towards energy and their behaviour, and utility theory as a means of determining personal motivations for energy conservation. The study showed that people are more motivated to act when presented with personalized information and monetary losses as opposed to monetary gain. Social value orientation and self-reflection motivations were also considered. The study showed that pro-social orientation can be used in the form of ambient displays located in public areas of the home. Self-reflection can be encouraged by allowing family members to annotate visualizations containing a history of their energy consumption data. Results of the study will be used to design actual feedback visualizations of energy use. 18 refs.

  15. Energy Consumption Forecasting for University Sector Buildings

    Directory of Open Access Journals (Sweden)

    Khuram Pervez Amber

    2017-10-01

    Full Text Available Reliable energy forecasting helps managers to prepare future budgets for their buildings. Therefore, a simple, easier, less time consuming and reliable forecasting model which could be used for different types of buildings is desired. In this paper, we have presented a forecasting model based on five years of real data sets for one dependent variable (the daily electricity consumption and six explanatory variables (ambient temperature, solar radiation, relative humidity, wind speed, weekday index and building type. A single mathematical equation for forecasting daily electricity usage of university buildings has been developed using the Multiple Regression (MR technique. Data of two such buildings, located at the Southwark Campus of London South Bank University in London, have been used for this study. The predicted test results of MR model are examined and judged against real electricity consumption data of both buildings for year 2011. The results demonstrate that out of six explanatory variables, three variables; surrounding temperature, weekday index and building type have significant influence on buildings energy consumption. The results of this model are associated with a Normalized Root Mean Square Error (NRMSE of 12% for the administrative building and 13% for the academic building. Finally, some limitations of this study have also been discussed.

  16. Power production and energy consumption in Norway

    International Nuclear Information System (INIS)

    2001-03-01

    The main electrical resource of Norway comes from its rivers: 99% of the electric power is produced by hydroelectric power plants. Other sources, like wind and natural gas, are envisaged for the enhancement of Norway's energy production capacity. In this document, the part devoted to power production presents the different electricity production sources and their impact on the Norwegian economy. The energy consumption is detailed in the third part with an historical review of its evolution and a description of the main sectors involved in this consumption. The forth part describes the main actors of the energy sector with their industrial structure, the research institutes and universities performing R and D in this domain, and the energy trades with surrounding countries. The fifth part stresses on the research projects, on the government promoting actions through the Norwegian Research Council, and gives some examples of todays research projects. The sixth part deals with international cooperation in the R and D domain with a particular attention given to the relations between Norway, France and Europe. (J.S.)

  17. Forecasting Renewable Energy Consumption under Zero Assumptions

    Directory of Open Access Journals (Sweden)

    Jie Ma

    2018-02-01

    Full Text Available Renewable energy, as an environmentally friendly and sustainable source of energy, is key to realizing the nationally determined contributions of the United States (US to the December 2015 Paris agreement. Policymakers in the US rely on energy forecasts to draft and implement cost-minimizing, efficient and realistic renewable and sustainable energy policies but the inaccuracies in past projections are considerably high. The inaccuracies and inconsistencies in forecasts are due to the numerous factors considered, massive assumptions and modeling flaws in the underlying model. Here, we propose and apply a machine learning forecasting algorithm devoid of massive independent variables and assumptions to model and forecast renewable energy consumption (REC in the US. We employ the forecasting technique to make projections on REC from biomass (REC-BMs and hydroelectric (HE-EC sources for the 2009–2016 period. We find that, relative to reference case projections in Energy Information Administration’s Annual Energy Outlook 2008, projections based on our proposed technique present an enormous improvement up to ~138.26-fold on REC-BMs and ~24.67-fold on HE-EC; and that applying our technique saves the US ~2692.62PJ petajoules(PJ on HE-EC and ~9695.09PJ on REC-BMs for the 8-year forecast period. The achieved high-accuracy is also replicable to other regions.

  18. Energy Consumption in Rural China: Analysis of Rural Living Energy in Beijing

    Science.gov (United States)

    Yang, Yu; Yifang, Liu; Wei, Zhu

    2017-08-01

    Under the pressure of climate change and international carbon reduction targets, long-neglected rural energy consumption needs to be given high priority. China’s rural energy consumption structure is in the transition from non-commercial to commercial sources, and rural energy has become a key determinant to slow down the carbon emission growth. This paper systematically calibrates the current situation of rural energy consumption in Beijing by using the survey data of 1866 households in 13 districts and counties in Beijing based on the trend of energy supply and demand change in China. To this end, the paper combines rural policy measures to assess the pressure on coal-burning and clean energy supply trends, puts forward the rural energy structure adjustment path, with a view to promoting the use of clean energy in rural areas and reduce the environmental consequences of coal-burning.

  19. Estimating potential saving with energy consumption behaviour model in higher education institutions

    Directory of Open Access Journals (Sweden)

    Mohd Hafizal Ishak

    2016-11-01

    Full Text Available Towards sustainable Higher Education Institutions (HEIs, energy consumption behaviour is one of several issues that require an attention by facilities manager. Information from the behavioural aspect would be useful for facilities manager on managing the energy and determining potential energy saving. A lack of information negatively affects this aim. Hence, this paper proposes a methodology for assessing the energy consumption behaviour with the objective determining potential energy saving. The method used energy culture framework as basis and joined with centrographic approach and multiple-regression analysis. A self-administrated survey carried out involving 1400 respondents in selected HEIs. There are four types of energy use among students in HEIs namely, 'high', 'low', ‘medium’ and 'conserve' determined from the centrographic analysis. The energy consumption behaviour model was developed and tested against the holdout sample. Through the model's application, there is a vast potential for energy savings with over 55 kWh daily among the students.

  20. Evaluation of energy performance indicators and financial aspects of energy saving techniques in residential real estate

    NARCIS (Netherlands)

    Entrop, Alexis Gerardus; Brouwers, Jos; Reinders, Angelina H.M.E.

    2010-01-01

    The energy consumption in the existing residential building stock accounts for about 40% of the total energy consumption in the built environment. Different types of energy performance indicators to assess the energy consumption of buildings were and still are internationally under development. In

  1. Pacific Northwest residential energy survey. Volume 4. Pacific Northwest cross-tabulations

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-07-01

    Responses for the Pacific Northwest to fifty questions asked during the survey (plus four variables computed from responses to several other questions) cross-tabulated against responses to nine questions which represent key explanatory characteristics of residential energy use are presented. The nine key questions are: means of payment for housing; type of dwelling; year dwelling built; total square-footage of living space; type of fuel for main heating system; combined 1978 income; unit cost of electricity; annual electricity consumption; and annual natural gas consumption. The fifty questions and four computed variables which were cross-tabulated against the above fall into six categories: dwelling characteristics; heating and air-conditioning systems; water heating; appliances; demographic and dwelling characteristics; and insulation. The survey was conducted throughout the states of Washington, Oregon, Idaho, and Montana with a total of 4030 households sampled. Information on the 54 tables is explained. (MCW)

  2. 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.

  3. Low-energy-consumption hybrid lasers for silicon photonics

    DEFF Research Database (Denmark)

    Chung, Il-Sug; Ran, Qijiang; Mørk, Jesper

    2012-01-01

    Physics and characteristics of a hybrid vertical-cavity laser that can be an on-chip Si light source with high speed and low energy consumption are discussed.......Physics and characteristics of a hybrid vertical-cavity laser that can be an on-chip Si light source with high speed and low energy consumption are discussed....

  4. 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)

  5. A panel study of nuclear energy consumption and economic growth

    International Nuclear Information System (INIS)

    Apergis, Nicholas; Payne, James E.

    2010-01-01

    This study examines the relationship between nuclear energy consumption and economic growth for sixteen countries within a multivariate panel framework over the period 1980-2005. Pedroni's (1999, 2004) heterogeneous panel cointegration test reveals there is a long-run equilibrium relationship between real GDP, nuclear energy consumption, real gross fixed capital formation, and the labor force with the respective coefficients positive and statistically significant. The results of the panel vector error correction model finds bidirectional causality between nuclear energy consumption and economic growth in the short-run while unidirectional causality from nuclear energy consumption to economic growth in the long-run. Thus, the results provide support for the feedback hypothesis associated with the relationship between nuclear energy consumption and economic growth.

  6. Economic growth and energy consumption in Algeria: a causality analysis; Croissance economique et consommation energetique en Algerie: une analyse en termes de causalite

    Energy Technology Data Exchange (ETDEWEB)

    Cherfi, S. [Faculte des Sciences Economiques, Sciences de Gestion et des Sciences Commerciales, Dept. des Sciences Commerciales, Universite d' Oran (Algeria)

    2011-07-15

    The purpose of this study is to review the causal link in the Granger sense, between energy consumption and economic growth in Algeria, to determine its implications for economic policy. The analysis was done based on Granger static and causality tests using statistical data on per capita primary energy consumption and gross domestic product per inhabitant in Algeria, over the 1965-2008 period. The results of the survey show that there is, in Algeria, a strong link between energy consumption per inhabitant and GDP per inhabitant. The results also suggest the lack of a long term impetus (no co-integration) between energy consumption and economic growth. In addition, there is a one-way causal link between GDP and energy consumption, i.e. the prior GDP data provides a better forecast of energy consumption level, but not the contrary. In other words, GDP explains consumption, not the contrary. (author)

  7. Chemical and biological characterization of residential oil burner emission. A literature survey

    International Nuclear Information System (INIS)

    Westerholm, R.; Peterson, A.

    1994-02-01

    This literature study covers the time period 1980 to 1993 and is concerned with oil burners used for residential heating with a nominal heating power of less than 20 kW, which are normally used in one-family houses. Emission samples from domestic heaters using organic fuels consists of a very complex matrix of pollutants ranging from aggregate states solid to gaseous. Biological effects elicited by exhaust emissions have been detected and determined. It has been shown for diesel vehicles that selection of fuel properties has an impact on combustion reaction paths which results in different exhaust chemical compositions. It was also determined that diesel fuel properties have an impact on the biological activity of diesel exhaust emissions, which is to be expected from their chemical characterization. As a result of this, Sweden has an environmental classification of diesel fuels which has been in force since 1991. Analogously, the Swedish Environmental Protection Agency has asked whether detrimental environmental and health effects from residential heating can be reduced by selection of fuel properties, and if so by how much? In addition, which properties are most important to control in a future environmental classification of heating oils? As a first step in this process, a literature survey was performed. Major topics were: Sampling technology, chemical composition, biological activity, and risk assessment of emissions. 33 refs, 11 tabs

  8. A review of energy consumption and related data : Canadian paper manufacturing industries : 1990, 1995 to 2004

    Energy Technology Data Exchange (ETDEWEB)

    Nyboer, J.; Peters, J. [Simon Fraser Univ., Burnaby, BC (Canada). Canadian Industrial Energy End-Use Data and Analysis Centre

    2007-03-15

    In the face of increasing global competition and international agreements on climate change, Canadian industries are increasingly in need of accurate data on energy consumption, greenhouse gas emissions and output. This report presented detailed information about energy consumption and greenhouse gas (GHG) emissions from the paper manufacturing industry. It provided a national time series of the aggregate pulp and paper production industry from 1990 to 2004 as well as a more complete review of the pulp and paper industry. The purpose of the report was to illustrate the data on energy consumption and GHG emissions for the disaggregated paper manufacturing industries in Canada; to identify basic trends in energy consumption and GHG emissions; to identify weaknesses in the data with respect to collection and its portrayal of a consistent picture of the industry; and, to maintain discussions between the industry and the various data collection agencies about data collection issues. The report provided a simple comparison of the report on energy supply and demand and the industrial consumption of energy survey data. It also described efforts to help reduce uncertainty in the data such as better disaggregation of industry data to mitigate problems of overlapping North American industry classification system codes within individual facilities for reporting energy consumption and production at higher levels of industry disaggregation. It was concluded that between 1990 and 2004, energy consumption from the Canadian paper manufacturing industry increased by 4 per cent, while direct GHG emissions have declined by 32 per cent. The sector has experienced substantial improvements in energy and GHG intensity from 1990 to 2004, which have improved by 21 per cent and 49 per cent respectively as a result of the adoption of more efficient technologies, such as cogeneration. refs., tabs., figs., appendices.

  9. [Relationships between settlement morphology transition and residents commuting energy consumption].

    Science.gov (United States)

    Zhou, Jian; Xiao, Rong-Bo; Sun, Xiang

    2013-07-01

    Settlement morphology transition is triggered by rapid urbanization and urban expansion, but its relationships with residents commuting energy consumption remains ambiguous. It is of significance to understand the controlling mechanisms of sustainable public management policies on the energy consumption and greenhouse gases emission during the process of urban settlement morphology transition. Taking the Xiamen City of East China as a case, and by using the integrated land use and transportation modeling system TRANUS, a scenario analysis was made to study the effects of urban settlement morphology transition on the urban spatial distribution of population, jobs, and land use, and on the residents commuting energy consumption and greenhouse gasses emission under different scenarios. The results showed that under the Business As Usual (BAU) scenario, the energy consumption of the residents at the morning peak travel time was 54.35 tce, and the CO2 emission was 119.12 t. As compared with those under BAU scenario, both the energy consumption and the CO2 emission under the Transition of Settlement Morphology (TSM) scenario increased by 12%, and, with the implementation of the appropriate policies such as land use, transportation, and economy, the energy consumption and CO2 emission under the Transition of Settlement Morphology with Policies (TSMP) scenario reduced by 7%, indicating that urban public management policies could effectively control the growth of residents commuting energy consumption and greenhouse gases emission during the period of urban settlement morphology transition.

  10. Residential energy usage comparison: Findings

    Energy Technology Data Exchange (ETDEWEB)

    Smith, B.A.; Uhlaner, R.T.; Cason, T.N.; Courteau, S. (Quantum Consulting, Inc., Berkeley, CA (United States))

    1991-08-01

    This report presents the research methods and results from the Residential Energy Usage Comparison (REUC) project, a joint effort by Southern California Edison Company (SCE) and the Electric Power Research Institute (EPRI). The REUC project design activities began in early 1986. The REUC project is an innovative demand-site project designed to measure and compare typical energy consumption patterns of energy efficient residential electric and gas appliances. 95 figs., 33 tabs.

  11. 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.

  12. Energy consumption in commercial buildings: A comparison with BEPS budgets

    Science.gov (United States)

    1980-09-01

    Metered energy consumption data were collected on existing commercial buildings to help establish the proposed building energy performance standards (BEPS). The search has identified 84 buildings whose metered energy consumption is equal to or less than that proposed for their BEPS budgets and another 7 buildings whose metered consumption is less than 20 percent above their BEPS budgets. The methodology used to identify the buildings and to collect their metered energy consumption data are described. The data are analyzed and summarized and conclusions are drawn.

  13. Influences Energy Consumption has on Green GDP Growth in China

    Science.gov (United States)

    Hongxian, Xie

    2018-02-01

    This paper examines the relationship between China’s total energy consumption growth and GGDP growth based on the data of 1997-2016. With path analysis employed, the direct and indirect influence on GGDP growth rate exerted by several energy consumption ratios as well as the relationship among them is explored. Furtherly, the author determines how much each of these ratios contributes to GGDP. This research suggests that proportion of natural gas consumption and that of other energy consumption are the two major drivers of GGDP growth, while coal and oil consumption proportion inhibits GGDP Growth. Specifically, increasing the proportion of natural gas consumption contributes the most to GGDP growth.

  14. Energy consumption and quality of man's life. Chapter 1

    International Nuclear Information System (INIS)

    1998-01-01

    In Chapter 1 a dependence of public life quality showings from energy consumption value is proved. Priority of fuel-energetic complex development is grounded as well. Specific features of Kazakhstan power engineering during its integration into world economics are given. Problems of liberalization of power engineering economy are illustrated. Dependences between assessments of human potential and energy consumption level in the world and Kazakhstan are given in tabular form. In Kazakhstan under relatively stable education level index an energy consumption reduction was resulted to gross national product decrease on via capita

  15. Reduced energy consumption for melting in foundries

    Energy Technology Data Exchange (ETDEWEB)

    Skov-Hansen, S.

    2007-09-15

    By improving the gating technology in traditional gating systems it is possible to reduce the amount of metal to be re-melted, and hence reduce the energy consumption for melting in foundries. Traditional gating systems are known for a straight tapered down runner a well base and 90 deg. bends in the runner system. In the streamlined gating systems there are no sharp changes in direction and a large effort is done to confine and control the flow of the molten metal during mould filling. Experiments in real production lines have proven that using streamlined gating systems improves yield by decreasing the poured weight compared to traditional layouts. In a layout for casting of valve housings in a vertically parted mould the weight of the gating system was reduced by 1,1kg which is a 20% weight reduction for the gating system. In a layout for horizontally parted moulds the weight of the gating system has been reduced by 3,7kg which is a weight reduction of 60% for the gating system. The experiments casting valve housings in ductile iron also proved that it is possible to lower the pouring temperature from 1400 deg. C to 1300 deg. C without the risk of cold runs. Glass plate fronted moulds have been used to study the flow of melt during mould filling. These experiments have also been used for studying the flow pattern when ceramic filters are used. The thorough study of the use of filters revealed that the metal passing through the filter is divided into a number of small jets. This proves that filters do not have the claimed positive effect on the flow of metal. The volumes necessary on either side of the filter is not filled till a backpressure is build up and results in formation of pressure shocks when backfilled. These pressure shocks result in more turbulence inside the casting than the same gating system with no filter. Not using filters can mean a reduction in poured weight of 0,6kg. To examine if the experiments using glass plate fronted moulds give

  16. 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.)

  17. Are Gasoline Prices a Factor in Residential Relocation Decisions? Preliminary Findings from the American Housing Survey, 1996–2008

    Science.gov (United States)

    Chi, Guangqing; Boydstun, Jamie

    2018-01-01

    Residential relocation choice is affected by numerous factors, but gasoline prices as a potential factor have not been investigated. This study examines gasoline price changes and residential relocation choice using 1996–2008 American Housing Survey data. We found higher gasoline prices are associated with a higher percentage of movers choosing locations closer to workplaces. The findings have implications for addressing the impacts of volatile gasoline prices on land use planning and policies; resilient “smart cities or communities” are one possible solution. PMID:29658959

  18. ENERGY AUDIT AS TOOL FOR DECREASING OF ENERGY CONSUMPTION

    Directory of Open Access Journals (Sweden)

    Tirshu M.

    2013-12-01

    Full Text Available The paper presents results of the energy audit for seven public organizations. Audits were performed in 2013 by the staff of the Institute of Power Engineering of the ASM. The staff is authorized in the field of electricity and thermal energy. Four energy audits were for energy efficiency in buildings; two energy audits were for efficient public lighting system and one for efficient lighting system within the organization. For each organization were highlighted major problems which lead to increased energy consumption and proposed several measures that help reduce energy consumption and reduce CO2 emissions. Also describes methods for the measurements and the equipment used. It presents characteristic problems typified by object class and how to overcome them. Energy consumption is determined for both - baseline energy consumption and after implementing the proposed measures. Also, the necessary investments, the results obtained after investments and the payback periods for each proposed measures as well as a whole are presented.

  19. THE INFLUENCE OF AN APARTMENT POSITIONING ON ENERGY CONSUMPTION

    Directory of Open Access Journals (Sweden)

    Marcela PRADA

    2013-06-01

    Full Text Available This work is part of the highly topical subject of global warming and energy conservation. The article contains parametric studies of energy consumption and CO² emissions for an apartment located in a block of flats, depending on its location. It was studied the energy consumption of an apartment having different cardinal orientations in the same building and of an apartment with the same position inside the building but located in different climatic zones. The case studies show the difference between the energy consumption of an apartment depending on its position, thus resulting in a few general directions for their heat insulation, so that the specific energy consumption of the apartment is below 100 kWh/m² year.

  20. Energy consumption model on WiMAX subscriber station

    Science.gov (United States)

    Mubarakah, N.; Suherman; Al-Hakim, M. Y.; Warman, E.

    2018-02-01

    Mobile communication technologies move toward miniaturization. Mobile device’s energy source relies on its battery endurance. The smaller the mobile device, it is expected the slower the battery drains. Energy consumption reduction in mobile devices has been of interest of researcher. In order to optimize energy consumption, its usage should be predictable. This paper proposes a model of predicted energy amount consumed by the WiMAX subscriber station by using regression analysis of active WiMAX states and their durations. The proposed model was assessed by using NS-2 simulation for more than a hundred thousand of recorded energy consumptions data in every WiMAX states. The assessment show a small average deviation between predicted and measured energy consumptions, about 0.18% for training data and 0.187% and 0.191% for test data.

  1. Quantification of Uncertainty in Predicting Building Energy Consumption

    DEFF Research Database (Denmark)

    Brohus, Henrik; Frier, Christian; Heiselberg, Per

    2012-01-01

    Traditional building energy consumption calculation methods are characterised by rough approaches providing approximate figures with high and unknown levels of uncertainty. Lack of reliable energy resources and increasing concerns about climate change call for improved predictive tools. A new app...... inhabitant behaviour, operation, and maintenance to predict the performance of the systems and the level of certainty for fulfilling design requirements under random conditions.......Traditional building energy consumption calculation methods are characterised by rough approaches providing approximate figures with high and unknown levels of uncertainty. Lack of reliable energy resources and increasing concerns about climate change call for improved predictive tools. A new...... approach for the prediction of building energy consumption is presented. The approach quantifies the uncertainty of building energy consumption by means of stochastic differential equations. The approach is applied to a general heat balance for an arbitrary number of loads and zones in a building...

  2. A review of energy consumption and related data : Canadian paper manufacturing industries, 1990 to 2001

    Energy Technology Data Exchange (ETDEWEB)

    Nyboer, J.; Tu, J.J.

    2003-10-01

    This report presents data on energy consumption and carbon dioxide (CO{sub 2}) emissions within the Canadian paper manufacturing industry. The Canadian Industrial Energy End-use Data and Analysis Centre (CIEEDAC) has used data based on the North American Industry Classification System (NAICS). A national time series of the pulp and paper production industry from 1990 to 2001 indicates that the industry has increased its energy consumption by 16 per cent, but CO{sub 2} emissions have dropped by 27 per cent. This suggests that the industry has made changes regarding energy use that have affected carbon dioxide generation. Energy intensity has been reduced by almost 10 per cent since 1990 and greenhouse gas intensity has decreased by approximately 40 per cent due to a switch from heavy fuel oil and natural gas to electricity and wood waste. A quarterly report on energy supply and demand was included along with survey data on industrial consumption of energy (ICE). The data in this report can be used to determine trends in energy consumption within Canada and to compare Canadian industrial performance with other countries to ensure that Canada remains competitive. It is also used to monitor environmental impacts of energy consumption in industry. refs., tabs., figs.

  3. On the relationship between GDP and energy consumption

    International Nuclear Information System (INIS)

    Sudarsono, B.

    1978-01-01

    The validity of a coupling between the growth in GDP and the growth in energy consumption is reviewed and its importance is discussed. The usefulness of a GDP energy consumption relationship for energy projections is investigated with particular reference to the case of Indonesia. A particular form of such a relationship is obtained for Indonesia with income elasticity decreasing as a function of time and its use is compared with other results. (author)

  4. Energy-Consumption Factors of Air-Stream Moulding Machines

    Directory of Open Access Journals (Sweden)

    K. Smyksy

    2012-09-01

    Full Text Available In this article, an outline of the key questions connected with the essential problems of energy-consumption of air-stream mouldingmachines has been presented. Research results and calculations of requisite parameters appraisable of energy-consumption of air-streammoulding machines have been supplemented also by the data analysis of offer of the moulding machines manufacturers. The attention onconstructional and technological factors which are favourable for the diminution of energy-consuming of the moulding process has beenpaid.

  5. Occupants Influence on the Energy Consumption of Danish Domestic Buildings

    DEFF Research Database (Denmark)

    Larsen, Tine Steen; Knudsen, Henrik Nellemose; Kanstrup, Anne Marie

    This report is one of the results from the project “Occupants influence on the energy consumption of Danish domestic buildings – Phase 1”, which is partly funded by EUDP (Journalnr.: 64009-0248, Programområde: Energieffektivisering) The report provides state-of-the-art reviews within the various...... disciplines represented in the project by the project members, which all represent areas that relate to the title on occupants influence on the energy consumption....

  6. The world energy consumption in 2001. Statistical yearbook ENERDATA 2002

    International Nuclear Information System (INIS)

    2002-01-01

    Statistical data on the world energy consumption are given to illustrate the following situation in 2001: the deceleration of the world economic growth and the high prices of oil slowed down the progression of the energy consumption: 0,7 % in 2001; stagnation of the gas and oil consumption and strong progression for coal and electricity in 2001; the deceleration for gas marks a strong inflection compared to the past trends. (A.L.B.)

  7. Tourism, Energy Consumption and Climate Change in OECD Countries

    OpenAIRE

    Tiwari, Aviral Kumar; Ozturk, Ilhan; Aruna, M.

    2013-01-01

    The study analyzed dynamics of the relationship between tourism, energy consumption, and climate change for 25 OECD countries during 1995-2005. For the analysis, Panel VAR (PVAR) model was used. Results of panel unit root-tests show that tourism is nonstationary in the level form but stationary in first difference form and energy consumption and climate change are stationary variables in the level form. Analysis of bivariate model shows that results are sensitive with change in the measuremen...

  8. On the determinants of renewable energy consumption: International Evidence

    OpenAIRE

    Anis Omri; Duc Khuong Nguyen

    2014-01-01

    Over recent years, renewable energy sources have emerged as an important component of world energy consumption. Little is however known about the determinants of renewable energy consumption. This article tackles this issue for a global panel consisting of 64 countries over the period 1990-2011 by using a dynamic system- GMM panel model. We also consider three homogeneous subpanels which are constructed based on the income level of sample countries (high-, middle-, and low-income subpanels). ...

  9. Can urban rail transit curb automobile energy consumption?

    International Nuclear Information System (INIS)

    Lin, Boqiang; Du, Zhili

    2017-01-01

    With the rapid development of China's economy and the speed of urbanization, China's automobile sector has experienced rapid development. The rapid development of the automobile sector has increased energy consumption. According to the results of this paper, automobile energy consumption accounted for about 10.73% of total energy consumption in China in 2015, about 3.6 times the proportion a decade ago. With the deterioration of urban traffic conditions, relying on expanding the amount of vehicles and city road network cannot solve the problem. Urban rail transit is energy-saving and less-polluting, uses less space, has large capacity, and secure. Urban rail transit, according to the principle of sustainable development, is a green transportation system and should be especially adopted for large and medium-sized cities. The paper uses the binary choice model (Probit and Logit) to analyze the main factors influencing the development of rail transit in Chinese cities, and whether automobile energy consumption is the reason for the construction of urban rail transit. Secondly, we analyze the influence of urban rail transit on automobile energy consumption using DID model. The results indicate that the construction of urban rail traffic can restrain automobile energy consumption significantly, with continuous impact in the second year. - Highlights: • Investigate the main factors influencing the building of rail transit for Chinese cities. • Analyze the influence of urban rail transit on automobile energy consumption by DID model. • The results indicate that the construction of urban rail traffic can restrain automobile energy consumption significantly.

  10. Optimal Energy Consumption Analysis of Natural Gas Pipeline

    OpenAIRE

    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. There...

  11. An Evolutionary Analysis of World Energy Consumption and World Population

    OpenAIRE

    Kriegel, U.; Mende, W.; Grauer, M.

    1983-01-01

    The evolution of large-scale systems is described by a model based on the assumption of hyperbolic growth and saturation processes. It is shown that this Hyper-Logistic Evolution Model (HLEM) successfully describes the development of world population and global primary energy consumption over the past century; the model is also used to provide projections of world population and primary energy consumption up to the year 2100.

  12. CO2 emissions, energy consumption and economic growth in Tunisia

    OpenAIRE

    Chebbi, Houssem Eddine; Boujelbene, Y.

    2008-01-01

    The aim of this country specific study is to understand long and short-run linkages between economic growth, energy consumption and CO2 emission using Tunisian data over the period 1971-2004. Statistical findings indicate that economic growth, energy consumption and CO2 emission are related in the long-run and provide some evidence of inefficient use of energy in Tunisia, since environmental pressure tends to rise faster than economic growth. In the short run, results support the argument tha...

  13. Energy consumption analysis of sheep milk cooling systems

    OpenAIRE

    Cossu, Marco

    2013-01-01

    In this study the energy consumption of milk cooling systems for sheep milk was quantified, depending on number of milkings and performance class. The aim was to produce updated data about the incidence of energy consumption for milk cooling, useful for energy auditing research in livestock. The cost in electricity bills and the weight on the current price of sheep milk were calculated. The experimental work was carried out on 22 milk cooling systems in Sardinia, equipped with open-type tank ...

  14. Occupant behavior and energy consumption in dwellings: An analysis of behavioral models and actual energy consumption in the dutch housing stock

    Directory of Open Access Journals (Sweden)

    Merve Bedir

    2017-11-01

    energy management behavior patterns, habits, hobbies, and health conditions. This dataset consists of 323 dwellings. The second dataset is comprised of 61 dwellings chosen randomly among the clients of one energy company. The household characteristics are representative for the Dutch average. Data on thermostat control behavior was collected by monitoring during March and April 2011, while a questionnaire was used for an inventory of household characteristics and behavioral attitudes, before the monitoring started. Lastly, the WoON survey was used as a validation database for the first dataset. The WoON Database of the Dutch Ministry of Housing includes data of 4500 dwellings and is assumed to be representative for the Netherlands. This database includes a household survey, data on occupant behavior, dwelling inspections and reports on energy consumption in 4500 dwellings across the Netherlands. In relation to the research questions, the main conclusions of this research can be summarized as follows: Q I: Sensitivity analysis can be used as a method of evaluating the impact of occupant behavior on heating energy consumption. Heating energy consumption of a dwelling is the most sensitive to thermostat control, followed respectively by ventilation control and presence. Both heating energy consumption and the resultant indoor temperature are the most robust to radiator settings, meaning that heating energy consumption and resultant indoor temperature change minimal if the occupants change the radiator control. Q II: Total appliance use (ownership and duration of use of appliances is calculated based on the direct detereminants of electricity consumption. DHES (Dwelling, Household, Economic, System characteristics of dwellings, i.e. household size, dwelling type, the number of showers, use of dryer and washing cycles are the indirect determinants, and the combined model of direct and indirect determinants explains 58% of the variance in electricity consumption. Q III - 1

  15. Energy access: Revelations from energy consumption patterns in rural India

    International Nuclear Information System (INIS)

    Srivastava, Leena; Goswami, Anandajit; Diljun, Gaurang Meher; Chaudhury, Saswata

    2012-01-01

    After decades of research on the subject of energy poverty and access and its impact on human development, the issue has finally gained global attention and commitment through the UN Secretary General's initiative on Sustainable Energy for All. However, the issue of what constitutes energy access and how such access can be supported by efficient subsidies remains a key question that does not have simple answers. At what point along the energy consumption and income spectrum does the energy access problem cease to be one of public policy, thereby letting the market take over? Using data from an extensive survey carried out by the Government of India, this paper highlights the complexities and inadequacies of using a normative consumption based approach to determine the scope and scale of interventions required. Factoring in the environmental and social pillars of sustainable development when defining access to modern energy forms would also significantly inform the level of effort involved in meeting the goal of energy access to all. - Highlights: ► Simple head count measures are inadequate to estimate the energy access challenge. ► The income and energy poor populations in a country need not completely overlap. ► Modern energy service delivery mechanisms, ensuring quality, essential for outcomes. ► Need to create enabling environment that empowers making of desired energy choices.

  16. Environmental impacts during the operational phase of residential buildings

    NARCIS (Netherlands)

    Blom, I.S.

    2010-01-01

    To date, the focus in the field of sustainable building has been on new building design. However, existing residential buildings inflict great environmental burden through three causes: continuous energy consumption, regular building maintenance and replacements. This publication analyses and

  17. Pacific Northwest residential energy survey. Volume 9. Climate Zone 1 cross-tabulations

    Energy Technology Data Exchange (ETDEWEB)

    1980-07-01

    Responses for Climate Zone 1 to fifty questions asked during the survey (plus four variables computed from responses to several other questions) are presented. Climate Zone 1, defined according to the sum of heating and cooling degree days, amounts to less than 6000. The fifty questions were cross-tabulated against responses to nine questions which represent key explanatory characteristics of residential energy use. The nine key questions are: means of payment for housing; type of dwelling; year dwelling built; total square-footage of living space; type of fuel for main heating system; combined 1978 income; unit cost of electricity; annual electricity consumption; and annual natural gas consumption. The fifty questions and four computed variables which were cross-tabulated against the above fall into six categories; dwelling characteristics; heating and air-conditioning systems; water heating; appliances; demographic and dwelling characteristics; and insulation. The survey was conducted throughout the states of Washington, Oregon, Idaho, and Montana, with a total of 4030 households sampled; 1873 households were sampled in Climate Zone 1. Information in 54 tables is explained. (MCW)

  18. Pacific Northwest residential energy survey. Volume 11. Climate Zone 3 cross-tabulations

    Energy Technology Data Exchange (ETDEWEB)

    1980-07-01

    Responses for Climate Zone 3 to fifty questions asked during the survey (plus four variables computed from responses to several other questions) are presented. Climate Zone 3 is defined according to the sum of heating and cooling degree days, and amounts to 7000 to 7999. A map outlines these four zones. The fifty questions were cross-tabulated against responses to nine questions which represent key explanatory characteristics of residential energy use. The nine key questions are: means of payment for housing; type of dwelling; year dwelling built; total square-footage of living space; type of fuel for main heating system; combined 1978 income; unit cost of electricity; annual electricity consumption; and annual natural gas consumption. The fifty questions and four computed variables which were cross-tabulated against the above fall into six categories: dwelling characteristics; heating and air-conditioning systems; water heating; appliances; demographic and dwelling characteristics; and insulation. The survey was conducted throughout the states of Washington, Oregon, Idaho, and Montana, with a total of 4030 households sampled. 480 households were sampled in Climate Zone 3. Information on 54 tables is explained. (MCW)

  19. Energy Consumption Management of Virtual Cloud Computing Platform

    Science.gov (United States)

    Li, Lin

    2017-11-01

    For energy consumption management research on virtual cloud computing platforms, energy consumption management of virtual computers and cloud computing platform should be understood deeper. Only in this way can problems faced by energy consumption management be solved. In solving problems, the key to solutions points to data centers with high energy consumption, so people are in great need to use a new scientific technique. Virtualization technology and cloud computing have become powerful tools in people’s real life, work and production because they have strong strength and many advantages. Virtualization technology and cloud computing now is in a rapid developing trend. It has very high resource utilization rate. In this way, the presence of virtualization and cloud computing technologies is very necessary in the constantly developing information age. This paper has summarized, explained and further analyzed energy consumption management questions of the virtual cloud computing platform. It eventually gives people a clearer understanding of energy consumption management of virtual cloud computing platform and brings more help to various aspects of people’s live, work and son on.

  20. Energy consumption and CO2 emissions in Iran, 2025

    International Nuclear Information System (INIS)

    Mirzaei, Maryam; Bekri, Mahmoud

    2017-01-01

    Climate change and global warming as the key human societies' threats are essentially associated with energy consumption and CO 2 emissions. A system dynamic model was developed in this study to model the energy consumption and CO 2 emission trends for Iran over 2000–2025. Energy policy factors are considered in analyzing the impact of different energy consumption factors on environmental quality. The simulation results show that the total energy consumption is predicted to reach 2150 by 2025, while that value in 2010 is 1910, which increased by 4.3% yearly. Accordingly, the total CO 2 emissions in 2025 will reach 985 million tonnes, which shows about 5% increase yearly. Furthermore, we constructed policy scenarios based on energy intensity reduction. The analysis show that CO 2 emissions will decrease by 12.14% in 2025 compared to 2010 in the scenario of 5% energy intensity reduction, and 17.8% in the 10% energy intensity reduction scenario. The results obtained in this study provide substantial awareness regarding Irans future energy and CO 2 emission outlines. - Highlights: • Creation of an energy consumption model using system dynamics. • The effect of different policies on energy consumption and emission reductions. • An ascending trend for the environmental costs caused by CO 2 emissions is observed. • An urgent need for energy saving and emission reductions in Iran.

  1. 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)

  2. 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)

  3. Analysis of Consumer Behaviour in Regional Energy Consumption

    Directory of Open Access Journals (Sweden)

    Vytis Varanavicius

    2017-03-01

    Full Text Available Consumer behavior is perceived as an investment which does not yield results in the short run. The traditional economic theory of customer preferences is based on four main elements: customer income, the market price of goods, customer preferences, and behavioral assumption about the maximum of achievable benefits. Even though it sometimes might seem that equalizing energy consumption with behavior is not possible, it can often be described as consequences of behavior, such as turning off the lights or thermostat level reduction for saving power. Our paper demonstrates how the psychological concept of consumer behavior effects energy consumption. It provides recommendations about the incorporation of the idea of uncomplicated information availability for consumers taking into consideration their long-term habits. The novelty of this study is that psychological concept of consumer behavior effects energy consumption in each of the region, therefore, it is recommended to incorporate the idea of uncomplicated information availability for consumers taking into consideration long-term habits. The problem analyzed in the article is how consumer behavior influences energy consumption. The aim of the article is to analyze the consumer behavior in energy consumption. The objectives of the study are two-fold: i to analyze the element of consumer behavior from the theoretical point of view, and ii to investigate the patterns of energy consumption. The methods of the study are a logical and comparative analysis of literature, graphics, synthesis, and deduction. Our results and findings can be used by the stakeholders and policy-makers in preparing regional development economic policies and in designing the energy consumption strategies in the framework of the regional development.

  4. Output, renewable energy consumption and trade in Africa

    International Nuclear Information System (INIS)

    Ben Aïssa, Mohamed Safouane; Ben Jebli, Mehdi; Ben Youssef, Slim

    2014-01-01

    We use panel cointegration techniques to examine the relationship between renewable energy consumption, trade and output in a sample of 11 African countries covering the period 1980–2008. The results from panel error correction model reveal that there is evidence of a bidirectional causality between output and exports and between output and imports in both the short and long-run. However, in the short-run, there is no evidence of causality between output and renewable energy consumption and between trade (exports or imports) and renewable energy consumption. Also, in the long-run, there is no causality running from output or trade to renewable energy. In the long-run, our estimations show that renewable energy consumption and trade have a statistically significant and positive impact on output. Our energy policy recommendations are that national authorities should design appropriate fiscal incentives to encourage the use of renewable energies, create more regional economic integration for renewable energy technologies, and encourage trade openness because of its positive impact on technology transfer and on output. - Highlights: • We examine the relationship between renewable energy consumption, trade and output in African countries. • There is a bidirectional causality between output and trade in both the short and long-run. • In the short-run, there is no causality between renewable energy consumption and trade or output. • In the long-run, renewable energy consumption and trade have a statistically significant positive impact on output. • African authorities should encourage trade openness because of its positive impact on technology transfer and on output

  5. 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.

  6. 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

  7. 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

  8. Specific energy consumption in microwave drying of garlic cloves

    Energy Technology Data Exchange (ETDEWEB)

    Sharma, G.P. [Department of Processing and Food Engineering, College of Technology and Agricultural Engineering, Udaipur 313 001, Rajasthan (India); Prasad, Suresh [Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721 302 (India)

    2006-09-15

    The convective and microwave-convective drying of garlic cloves was carried out in a laboratory scale microwave dryer, which was developed for this purpose. The specific energy consumption involved in the two drying processes was estimated from the energy supplied to the various components of the dryer during the drying period. The specific energy consumption was computed by dividing the total energy supplied by amount of water removed during the drying process. The specific energy consumption in convective drying of garlic cloves at 70{sup o}C temperature and 1.0m/s air velocity was estimated as 85.45MJ/kg of water evaporated. The increase in air velocity increased the energy consumption. The specific energy consumption at 40W of microwave power output, 70{sup o}C air temperature and 1.0m/s air velocity was 26.32MJ/kg of water removed, resulting in about a 70% energy saving as compared to convective drying processes. The drying time increased with increase in air velocity in microwave-convective drying process; a trend reverse to what was observed in convective drying process of garlic cloves. (author)

  9. Low energy consumption vortex wave flow membrane bioreactor.

    Science.gov (United States)

    Wang, Zhiqiang; Dong, Weilong; Hu, Xiaohong; Sun, Tianyu; Wang, Tao; Sun, Youshan

    2017-11-01

    In order to reduce the energy consumption and membrane fouling of the conventional membrane bioreactor (MBR), a kind of low energy consumption vortex wave flow MBR was exploited based on the combination of biofilm process and membrane filtration process, as well as the vortex wave flow technique. The experimental results showed that the vortex wave flow state in the membrane module could be formed when the Reynolds number (Re) of liquid was adjusted between 450 and 1,050, and the membrane flux declined more slowly in the vortex wave flow state than those in the laminar flow state and turbulent flow state. The MBR system was used to treat domestic wastewater under the condition of vortex wave flow state for 30 days. The results showed that the removal efficiency for CODcr and NH 3 -N was 82% and 98% respectively, and the permeate quality met the requirement of 'Water quality standard for urban miscellaneous water consumption (GB/T 18920-2002)'. Analysis of the energy consumption of the MBR showed that the average energy consumption was 1.90 ± 0.55 kWh/m 3 (permeate), which was only two thirds of conventional MBR energy consumption.

  10. Sector review of UK higher education energy consumption

    Energy Technology Data Exchange (ETDEWEB)

    Ward, Ian; Ogbonna, Anthony; Altan, Hasim [Building Energy Analysis Unit, School of Architecture, University of Sheffield, S10 2TN Sheffield (United Kingdom)

    2008-08-15

    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. (author)

  11. TOURISM, ENERGY CONSUMPTION AND CLIMATE CHANGE IN OECD COUNTRIES

    Directory of Open Access Journals (Sweden)

    Aviral Kumar Tiwari

    2013-01-01

    Full Text Available The study analyzed dynamics of the relationship between tourism, energy consumption, and climate change for 25 OECD countries during 1995-2005. For the analysis, Panel VAR (PVAR model was used. Results of panel unit root-tests show that tourism is nonstationary in the level form but stationary in first difference form and energy consumption and climate change are stationary variables in the level form. Analysis of bivariate model shows that results are sensitive with change in the measurement of the tourism variable, change in order of variable and inclusion of the third variable. However, results of our trivariate model are found to be insensitive with either the change in the measurement of our tourism variable or change in the ordering of the variables. Our results of IRFs shows that response of tourism in one SD shock in climate change and energy consumption and response of climate change emissions to tourism is marginally positive. Further, we find that response of climate change in one SD shock in energy consumption and response of energy consumption in one SD shock in tourism and climate change is zero.

  12. Evaluation of heat pumps usage and energy savings in residential buildings

    OpenAIRE

    Nehad Elsawaf, Tarek Abdel-Salam, Leslie Pagliari

    2012-01-01

    The residential housing sector is a major consumer of energy in most countries around the world. In the United States the residential sector consumes about 21 % of the energy and about 35% of the electricity production. Of the total energy consumption per house hold about 33% is consumed for space heating. This study evaluates the energy consumption in residential houses during the heating season. The main objective of the study is to test the effectiveness of using heat pumps for space heati...

  13. Methods for Reducing the Energy Consumption of Mobile Broadband Networks

    DEFF Research Database (Denmark)

    Micallef, Gilbert

    2010-01-01

    traffic the energy consumption remains high. This article proposes two major solutions for mitigating this problem. In the first case, an energy saving between 14% and 36% is observed by allowing the network to dynamically optimize its available capacity based on the traffic being carried. In the second......Up until recently, very little consideration has been given towards reducing the energy consumption of the networks supporting mobile communication. This has now become an important issue since with the predicted boost in traffic, network operators are required to upgrade and extend their networks......, increasing also their overall energy consumption. However, traffic analysis shows that during a 24 hour period, the volume of carried traffic varies continuously, with the network operating anywhere close to its full capacity for very short periods of time. The problem is that during hours of low network...

  14. uFLIP: Understanding the Energy Consumption of Flash Devices

    DEFF Research Database (Denmark)

    Bjørling, Matias; Bonnet, Philippe; Bouganim, Luc

    2010-01-01

    consumption (low power consumption in idle mode, average Watt consumption from the data sheets). Second, when measured at a sufficiently fine granularity, the energy consumption of a given device might complement the performance characteristics derived from its response time profile. Indeed, background work......Understanding the energy consumption of flash devices is important for two reasons. First, energy is emerging as a key metric for data management systems. It is thus important to understand how we can reason about the energy consumption of flash devices beyond their approximate aggregate...... which is not directly observable with a response time profile appears clearly when energy is used as a metric. In this paper, we discuss the results from the {uFLIP} benchmark applied to four different {SSD} devices using both response time and energy as metric....

  15. Predictive Model of Energy Consumption in Beer Production

    Directory of Open Access Journals (Sweden)

    Tiecheng Pu

    2013-07-01

    Full Text Available The predictive model of energy consumption is presented based on subtractive clustering and Adaptive-Network-Based Fuzzy Inference System (for short ANFIS in the beer production. Using the subtractive clustering on the historical data of energy consumption, the limit of artificial experience is conquered while confirming the number of fuzzy rules. The parameters of the fuzzy inference system are acquired by the structure of adaptive network and hybrid on-line learning algorithm. The method can predict and guide the energy consumption of the factual production process. The reducing consumption scheme is provided based on the actual situation of the enterprise. Finally, using concrete examples verified the feasibility of this method comparing with the Radial Basis Functions (for short RBF neural network predictive model.

  16. Disaggregate energy consumption and industrial production in South Africa

    Energy Technology Data Exchange (ETDEWEB)

    Ziramba, Emmanuel [Department of Economics, University of South Africa, P.O Box 392, UNISA 0003 (South Africa)

    2009-06-15

    This paper tries to assess the relationship between disaggregate energy consumption and industrial output in South Africa by undertaking a cointegration analysis using annual data from 1980 to 2005. We also investigate the causal relationships between the various disaggregate forms of energy consumption and industrial production. Our results imply that industrial production and employment are long-run forcing variables for electricity consumption. Applying the [Toda, H.Y., Yamamoto, T., 1995. Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics 66, 225-250] technique to Granger-causality, we find bi-directional causality between oil consumption and industrial production. For the other forms of energy consumption, there is evidence in support of the energy neutrality hypothesis. There is also evidence of causality between employment and electricity consumption as well as coal consumption causing employment. (author)

  17. Disaggregate energy consumption and industrial production in South Africa

    International Nuclear Information System (INIS)

    Ziramba, Emmanuel

    2009-01-01

    This paper tries to assess the relationship between disaggregate energy consumption and industrial output in South Africa by undertaking a cointegration analysis using annual data from 1980 to 2005. We also investigate the causal relationships between the various disaggregate forms of energy consumption and industrial production. Our results imply that industrial production and employment are long-run forcing variables for electricity consumption. Applying the [Toda, H.Y., Yamamoto, T., 1995. Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics 66, 225-250] technique to Granger-causality, we find bi-directional causality between oil consumption and industrial production. For the other forms of energy consumption, there is evidence in support of the energy neutrality hypothesis. There is also evidence of causality between employment and electricity consumption as well as coal consumption causing employment.

  18. Convergence in energy consumption per capita among ASEAN countries

    International Nuclear Information System (INIS)

    Mishra, Vinod; Smyth, Russell

    2014-01-01

    We test for convergence in energy consumption per capita among ASEAN countries over the period 1971 to 2011 using the panel KPSS stationarity test and panel Lagrange multiplier (LM) unit root test. The results for the panel stationarity and unit root tests with structural breaks find support for energy convergence in ASEAN. - Highlights: • We test for convergence in energy consumption per capita among the ASEAN nations. • Univariate conventional unit root tests provide mixed evidence of convergence. • Panel unit root tests with structural breaks support convergence hypothesis

  19. Simulation of Energy Consumption and Emissions from Rail Traffic

    DEFF Research Database (Denmark)

    Lindgreen, Erik Bjørn Grønning; Sorenson, Spencer C

    , aerodynamic, gravitational and acceleration. A necessary element in the calculation is the driving pattern, that is, the distribution of speeds and accelerations for typical operation.In the report, data are analyzed to provide operation condition distributions on both a spatial and temporal basis....... The calculation procedure is evaluated with respect to resolution of operation conditions, and then evaluated by comparison with experimental data for a variety of passenger and goods trains. The results indicate that the energy consumption from modeling approach is valid to better that 10% for known operating...... characteristics. Emissions are calculated from the energy consumption using average fuel based emissions factors and electrical production emissions factors....

  20. 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)

  1. Energy consumption analysis of Spanish food and drink, textile, chemical and non-metallic mineral products sectors

    International Nuclear Information System (INIS)

    Aranda-Usón, Alfonso; Ferreira, Germán; Mainar-Toledo, M.D.; Scarpellini, Sabina; Llera Sastresa, Eva

    2012-01-01

    This paper provides quantitative information for energy consumption from four different industry sectors based on an energy analysis obtained by means of in-situ energy audits and complementary information. The latter information was taken from Saving Strategy and Energy Efficiency in Spain (Estrategia de Ahorro y Eficiencia Energética en España 2004–2010, E4) documents and the 2009 Industrial Survey of Spain from the National Statistics Institute (Instituto Nacional de Estadística, INE). The results show an estimate of energy consumption for each sector, namely Spanish food, drink and tobacco (9.6%), textile (4.5%), chemical (14.7%), and non-metallic mineral products (24.3%), as well as the degree of inefficiency for each, obtained by means of a stochastic frontier production function model. These results are combined with the energy consumption analysis to identify potential energy saving opportunities around 20.0% of the total energy consumption for all studied sectors. These energy saving opportunities are classified according to thermal or electrical energy consumption and percentage savings of the total energy consumption. -- Highlights: ► This study presents the analysis of four Spanish energy-consuming industrial sectors. ► The four selected sectors account for 33.0% of the total industrial SMEs. ► An audit was carried out in several factories from each analysed industrial sector. ► Stochastic Cobb-Douglas frontiers were used to estimate production frontiers. ► Potential energy saving opportunities around 20.0% of the total energy consumption.

  2. Survey of roadside alien plants in Hawai`i Volcanoes National Park and adjacent residential areas 2001-2005

    Science.gov (United States)

    Bio, Keali'i F.; Pratt, Linda W.; Jacobi, James D.

    2012-01-01

    The sides of all paved roads of Hawai`i Volcanoes National Park (HAVO) were surveyed on foot in 2001 to 2005, and the roadside presence of 240 target invasive and potentially invasive alien plant species was recorded in mile-long increments. Buffer zones 5–10 miles (8–16 km) long along Highway 11 on either side of the Kīlauea and Kahuku Units of the park, as well as Wright Road that passed by the disjunct `Ōla`a Tract Unit, were included in the survey. Highway 11 is the primary road through the park and a major island thoroughfare. Three residential subdivisions adjacent to the park were similarly surveyed in 0.5–1 mile (0.8–1.6 km) intervals in 2003, and data were analyzed separately. Two roads to the east and northeast were also surveyed, but data from these disjunct areas were analyzed separately from park roads. In total, 174 of the target alien species were observed along HAVO roads and buffers, exclusive of residential areas, and the mean number of target aliens per mile surveyed was 20.6. Highway 11 and its buffer zones had the highest mean number of target alien plants per mile (26.7) of all park roads, and the Mauna Loa Strip Road had the lowest mean (11.7). Segments of Highway 11 adjacent to HAVO and Wright Road next to `Ōla`a Tract had mean numbers of target alien per mile (24–47) higher than those of any internal road. Alien plant frequencies were summarized for each road in HAVO. Fifteen new records of vascular plants for HAVO were observed and collected along park roads. An additional 28 alien plant species not known from HAVO were observed along the buffer segments of Highway 11 adjacent to the park. Within the adjacent residential subdivisions, 65 target alien plant species were sighted along roadsides. At least 15 potentially invasive species not currently found within HAVO were observed along residential roads, and several other species found there have been previously eliminated from the park or controlled to remnant populations

  3. 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.

  4. 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.

  5. Report on FY 1998 project for international energy utilization rationalization, etc. (Project of the analytical tool survey for making energy consumption effective in Asia); 1998 nendo chosa hokokusho. Kokusai energy shiyo gorika nado taisaku jigyo (Asia energy shohi koritsuka bunseki tool chosa jigyo)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    In the Asian region, for the purpose of grasping effects of both economic growth and effective energy consumption, an analytical tool added with a computational function was developed with the interindustrial relations table as database for the analysis of the present situation and the simulational analysis. In the analysis of the present situation, changes between the two time-points, 1985 and 1990, were analyzed using the developed energy consumption table and the CO2 emission table. The energy consumption amount is increasing with the growing economy. However, the energy unit consumption is decreasing in countries except Korea, the Philippines, Singapore and Malaysia. The trend is that the energy consumption is becoming effective and the CO2 emission amount is decreasing. As an example of simulating the introduction effect of energy saving technology, the simulation was conducted on the three: iron steel, paper/pulp, and cement in Indonesia. As a result, the decrease in energy consumption was shown in paper/pulp by 48%, in cement by 16%, and in iron/steel by 16%. The same was also indicated in CO2 emission. (NEDO)

  6. 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)

  7. 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.

  8. Changing organizational energy consumption behaviour through comparative feedback

    NARCIS (Netherlands)

    Siero, F.W.; Bakker, A.B.; Dekker, G.B; van den Burg, T.C

    The differential effects of two forms of feedback on energy consumption behaviour were examined in two units of a metallurgical company. In one unit, employees received information about energy conservation, had to set goals and received feedback on their own conservation behaviour. The same

  9. A Resource Utilization Score for Software Energy Consumption

    NARCIS (Netherlands)

    Jagroep, E.A.; van der Werf, J.M.E.M.; Broekman, Jordy; Blom, Leen; van Vliet, Rob; Brinkkemper, S.

    Software as the true consumer of power and its potential contribution to reach sustainability goals is increasingly being acknowledged. Studies so far have presented successful results and methods to address the energy consumption of the software, indicating that different stakeholders striving for

  10. The energy consumption in the ceramic tile industry in Brazil

    International Nuclear Information System (INIS)

    Ciacco, Eduardo F.S.; Rocha, Jose R.; Coutinho, Aparecido R.

    2017-01-01

    The ceramic industry occupies a prominent place in the Brazilian industrial context, representing about 1.0% in the GDP composition. On the other hand, it represent about 1.9% of all energy consumed in the country, and 5.8% of the energy consumed in the Brazilian industrial sector in 2014. Regarding the power consumption by the ceramic industry, most is derived from renewable sources (firewood), followed by use of fossil fuels, mainly natural gas (NG). This study was conducted to quantify the energy consumption in the production of ceramic tiles (CT), by means of experimental data obtained directly in the industry and at every step of the manufacturing process. The step of firing and sintering has the highest energy consumption, with approximately 56% of the total energy consumed. In sequence, have the atomization steps with 30% and the drying with 14%, of total energy consumption in the production of ceramic tiles, arising from the use of NG. In addition, it showed that the production of ceramic tiles by wet process has energy consumption four times the dry production process, due to the atomization step.

  11. Estimating Energy Consumption of Transport Modes in China Using DEA

    Directory of Open Access Journals (Sweden)

    Weibin Lin

    2015-04-01

    Full Text Available The rapid growth of transport requirements in China will incur increasing transport energy demands and associated environmental pressures. In this paper, we employ a generalized data envelopment analysis (DEA to evaluate the relative energy efficiency of rail, road, aviation and water transport from 1971 to 2011 by considering the energy input and passenger-kilometers (PKM and freight ton-kilometers (TKM outputs. The results show that the optimal energy efficiencies observed in 2011 are for rail and water transport, with the opposite observed for the energy efficiencies of aviation and road transport. In addition, we extend the DEA model to estimate future transport energy consumption in China. If each transport mode in 2020 is optimized throughout the observed period, the national transport energy consumption in 2020 will reach 497,701 kilotons coal equivalent (ktce, whereas the annual growth rate from 2011 to 2020 will be 5.7%. Assuming that efficiency improvements occur in this period, the estimated national transport energy consumption in 2020 will be 443,126 ktce, whereas the annual growth rate from 2011 to 2020 will be 4.4%, which is still higher than that of the national total energy consumption (3.8%.

  12. Evaluation of energy consumption in different drying methods

    Energy Technology Data Exchange (ETDEWEB)

    Motevali, Ali; Minaei, Saeid; Khoshtagaza, Mohammad Hadi [Department of Agricultural Machinery Engineering, Agricultural Faculty, Tarbiat Modares University, Tehran 14115-111 (Iran, Islamic Republic of)

    2011-02-15

    This study was conducted to evaluate energy consumption in various drying systems including hot-air convection, use of microwave pretreatment with convection dryer, microwave drying, vacuum drying and infrared drying. Tests were conducted using pomegranate arils under various experimental conditions as follows. In convection dryer at six temperature levels (45, 50, 55, 60, 65 and 70 C) and three air velocity levels (0.5, 1 and 1.5 m/s) at three pretreatments of control, 100 W microwave pretreatment for 20 min and 200 W microwave pretreatment for 10 min. Experiments in the microwave dryer were done at three power levels of 100, 200 and 300 W and in vacuum dryer at five temperature levels (50, 60, 70, 80, and 90 C) under 250 kPa pressure. For infrared drying, there were four air velocity levels (0.3, 0.5, 0.7 and 1 m/s) and three illumination levels (0.22, 0.31 and 0.49 W/cm{sup 2}). Experimental results showed that minimum and maximum energy consumption in pomegranate drying were associated with microwave and vacuum dryers, respectively. The use of microwave pretreatment in drying pomegranate arils in hot air dryer decreased drying time and energy consumption in comparison with pure convection drying. In infrared drying, it was found that drying time increased with air velocity which resulted in increased energy consumption. (author)

  13. Energy consumption of auxiliary systems of electric cars

    Directory of Open Access Journals (Sweden)

    Evtimov Ivan

    2017-01-01

    Full Text Available The paper analyzes the power demand of the auxiliary systems of electric cars. On the basis of existing electric cars an analysis of energy consumption of different auxiliary systems is done. As a result possibilities for rational use of these systems have been proposed, which can increase the mileage per one charge of the battery.

  14. Energy Awareness Displays - Prototype for personalised energy consumption feedback

    NARCIS (Netherlands)

    Börner, Dirk; Storm, Jeroen; Kalz, Marco; Specht, Marcus

    2012-01-01

    Börner, D., Storm, J., Kalz, M., & Specht, M. (2012). Energy Awareness Displays - Prototype for personalised energy consumption feedback. In A. Ravencroft, S. Lindstaedt, C. D. Kloos, & D. Hernández-Leo (Eds.), 21st Century Learning for 21st Century Skills - 7th European Conference on Technology

  15. The effect of energy performance regulations on energy consumption

    NARCIS (Netherlands)

    Guerra-Santin, O.; Itard, L.

    2012-01-01

    Governments have developed energy performance regulations in order to lower energy consumption in the housing stock. Most of these regulations are based on the thermal quality of the buildings. In the Netherlands, the energy efficiency for new buildings is expressed as the EPC (energy performance

  16. Daily Temperature Integration: a Simulation Study to quantify Energy Consumption

    NARCIS (Netherlands)

    Körner, O.; Bakker, M.J.; Heuvelink, E.

    2004-01-01

    A combined greenhouse climate and control model was used to study energy consumption in year-round cut chrysanthemum. Temperature was either controlled for energy saving with temperature integration within 24h using the margin between heating and ventilation temperature b as control (TI) or the

  17. Energy consumption and CO2 emissions in Iran, 2025.

    Science.gov (United States)

    Mirzaei, Maryam; Bekri, Mahmoud

    2017-04-01

    Climate change and global warming as the key human societies' threats are essentially associated with energy consumption and CO 2 emissions. A system dynamic model was developed in this study to model the energy consumption and CO 2 emission trends for Iran over 2000-2025. Energy policy factors are considered in analyzing the impact of different energy consumption factors on environmental quality. The simulation results show that the total energy consumption is predicted to reach 2150 by 2025, while that value in 2010 is 1910, which increased by 4.3% yearly. Accordingly, the total CO 2 emissions in 2025 will reach 985million tonnes, which shows about 5% increase yearly. Furthermore, we constructed policy scenarios based on energy intensity reduction. The analysis show that CO 2 emissions will decrease by 12.14% in 2025 compared to 2010 in the scenario of 5% energy intensity reduction, and 17.8% in the 10% energy intensity reduction scenario. The results obtained in this study provide substantial awareness regarding Irans future energy and CO 2 emission outlines. Copyright © 2017 Elsevier Inc. All rights reserved.

  18. Energy consumption, pollutant emissions and economic growth in South Africa

    Energy Technology Data Exchange (ETDEWEB)

    Menyah, Kojo [London Metropolitan Business School, London Metropolitan University (United Kingdom); Wolde-Rufael, Yemane [Independent Researcher (United Kingdom)

    2010-11-15

    This paper examines the long-run and the causal relationship between economic growth, pollutant emissions and energy consumption for South Africa for the period 1965-2006 in a multivariate framework which includes labour and capital as additional variables. Using the bound test approach to cointegration, we found a short-run as well as a long-run relationship among the variables with a positive and a statistically significant relationship between pollutant emissions and economic growth. Further, applying a modified version of the Granger causality test we also found a unidirectional causality running from pollutant emissions to economic growth; from energy consumption to economic growth and from energy consumption to CO{sub 2} emissions all without a feedback. The econometric evidence suggests that South Africa has to sacrifice economic growth or reduce its energy consumption per unit of output or both in order to reduce pollutant emissions. In the long-run however, it is possible to meet the energy needs of the country and at the same time reduce CO{sub 2} emissions by developing energy alternatives to coal, the main source of CO{sub 2} emissions. However, the econometric results upon which the policy suggestions are made should be interpreted with care, as they may not be sufficiently robust enough to categorically warrant the choice of an unpalatable policy option by South Africa. (author)

  19. Energy consumption performance analysis of electrical mitad at ...

    African Journals Online (AJOL)

    The Injera baking electrical mitad is the most energy-consuming device in every household in Ethiopia. This research presents a detail engineering study on the energy-consumption performance of existing electrical mitad in Mekelle city. The research work considered thirty-one electrical mitad from different workshops in ...

  20. Energy consumption analysis for CO2 separation using imidazolium-based ionic liquids

    International Nuclear Information System (INIS)

    Xie, Yujiao; Zhang, Yingying; Lu, Xiaohua; Ji, Xiaoyan

    2014-01-01

    Highlights: • CO 2 solubility in imidazolium-based ionic liquids was surveyed and evaluated. • CO 2 absorption enthalpy was calculated based on thermodynamic model. • The effects of cation and anion on CO 2 absorption enthalpy were discussed. • Energy consumption for a CO 2 separation process was investigated. - Abstract: CO 2 solubility in ionic liquids has been measured extensively in order to develop ionic liquid-based technology for CO 2 separation. However, the energy consumption analysis has not been investigated well for such technology. In order to carry out the energy consumption analysis for CO 2 separation using ionic liquids based on available experimental data, in this work, the experimental data of the CO 2 solubility in imidazolium-based ionic liquids at pressures below 10 MPa was surveyed and evaluated by a semi-empirical thermodynamic model firstly. Based on the reliable experimental solubility data, the enthalpy of CO 2 absorption was further calculated by the thermodynamic model. The results show that the CO 2 absorption enthalpy in the studied ionic liquids is dominated by the enthalpy of CO 2 dissolution and the contribution of excess enthalpy increases with increasing CO 2 solubility in ionic liquids. The magnitude of the CO 2 absorption enthalpy decreases with increasing chain length in cation and strongly depends on the anion of ionic liquids. Furthermore, the energy consumption for a CO 2 separation process by pressure swing and/or temperature swing was investigated. For the pressure swing process, the Henry’s constant of CO 2 in ionic liquids is an important factor for energy consumption analysis; If CO 2 is absorbed at 298 K and 1 MPa and ionic liquid is regenerated by decreasing the pressure to 0.1 MPa at the same temperature, among the studied ionic liquids, [emim][EtSO 4 ] is the solvent with the lowest energy consumption of 9.840 kJ/mol CO 2 . For the temperature swing process, the heat capacity of ionic liquids plays a more

  1. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    Energy Technology Data Exchange (ETDEWEB)

    Fridley, David; Fridley, David G.; Zheng, Nina; Zhou, Nan

    2008-03-01

    Buildings represent an increasingly important component of China's total energy consumption mix. However, accurately assessing the total volume of energy consumed in buildings is difficult owing to deficiencies in China's statistical collection system and a lack of national surveys. Official statistics suggest that buildings account for about 19% of China's total energy consumption, while others estimate the proportion at 23%, rising to 30% over the next few years. In addition to operational energy, buildings embody the energy used in the in the mining, extraction, harvesting, processing, manufacturing and transport of building materials as well as the energy used in the construction and decommissioning of buildings. This embodied energy, along with a building's operational energy, constitutes the building's life-cycle energy and emissions footprint. This report first provides a review of international studies on commercial building life-cycle energy use from which data are derived to develop an assessment of Chinese commercial building life-cycle energy use, then examines in detail two cases for the development of office building operational energy consumption to 2020. Finally, the energy and emissions implications of the two cases are presented.

  2. Rural household energy consumption pattern in the disregarded villages of Bangladesh

    Energy Technology Data Exchange (ETDEWEB)

    Miah, Md. Danesh [Institute of Forestry and Environmental Sciences, University of Chittagong, Chittagong 4331 (Bangladesh); Forest Policy Laboratory, Shinshu University, 8304 Minamimminowa, Nagano-ken 399-4598 (Japan); Kabir, Rashel Rana Mohammad Sirajul [Institute of Forestry and Environmental Sciences, University of Chittagong, Chittagong 4331 (Bangladesh); Koike, Masao; Akther, Shalina [Forest Policy Laboratory, Shinshu University, 8304 Minamimminowa, Nagano-ken 399-4598 (Japan); Yong Shin, Man [Department of Forest Science, Kookmin University, Seoul (Korea)

    2010-02-15

    Energy is one of the most important ingredients required to alleviate poverty and realize socio-economic and human development, which is directly interconnected to the prominence of life in rural areas. An extensive survey on household energy consumption pattern interrelating socio-economic and demographic factors was carried out in the disregarded villages of Bangladesh using stratified random sampling technique of 120 households. This paper focuses on household energy consumption, various combinations of fuels and their expenditure in the study area. Biomass, kerosene, electricity, LPG and candle were found as the energy carrier used in the rural households in this study. The study shows that 92% households use biomass, 28% LPG, 89% kerosene, 78% electricity and 27% candle as fuel types. It was found that 56% households collected biomass from their own homesteads and/or agricultural lands. Bamboo, branches, cow dung, firewood, rice husk, leaves and twigs and straw were found as the biomass for household energy use. Average monthly household expenditure for total energy was US$ 9.67 (SE, 0.31) per month while the total monthly income of the household was US$ 123 (SE, 2.53). The ratio of the total monthly energy expenditure to the total monthly income was 7.86%. The study will be helpful to understand the energy consumption system and its expenditure in the rural areas of Bangladesh and to the policy formulation for energy production, consumption and utilization. (author)

  3. Rural household energy consumption pattern in the disregarded villages of Bangladesh

    International Nuclear Information System (INIS)

    Miah, Md. Danesh; Kabir, Rashel Rana Mohammad Sirajul; Koike, Masao; Akther, Shalina; Yong Shin, Man

    2010-01-01

    Energy is one of the most important ingredients required to alleviate poverty and realize socio-economic and human development, which is directly interconnected to the prominence of life in rural areas. An extensive survey on household energy consumption pattern interrelating socio-economic and demographic factors was carried out in the disregarded villages of Bangladesh using stratified random sampling technique of 120 households. This paper focuses on household energy consumption, various combinations of fuels and their expenditure in the study area. Biomass, kerosene, electricity, LPG and candle were found as the energy carrier used in the rural households in this study. The study shows that 92% households use biomass, 28% LPG, 89% kerosene, 78% electricity and 27% candle as fuel types. It was found that 56% households collected biomass from their own homesteads and/or agricultural lands. Bamboo, branches, cow dung, firewood, rice husk, leaves and twigs and straw were found as the biomass for household energy use. Average monthly household expenditure for total energy was US$ 9.67 (SE, 0.31) per month while the total monthly income of the household was US$ 123 (SE, 2.53). The ratio of the total monthly energy expenditure to the total monthly income was 7.86%. The study will be helpful to understand the energy consumption system and its expenditure in the rural areas of Bangladesh and to the policy formulation for energy production, consumption and utilization. (author)

  4. A Household-based analysis of domestic energy consumption for lighting in Jaipur City

    Directory of Open Access Journals (Sweden)

    Nand Kumar

    2016-05-01

    Full Text Available India being the third largest economy of the world, more than two third of the total population lives in villages and started to consuming more quantity of energy in the recent years. Though the electricity consumption in the domestic sector has increased up to 22 per cent of the total electricity consumption, electricity consumption in villages is very less, since good number of villages in the rural system are not even electrified. In urban areas almost 90 percent of the household use electricity for lighting and just 10 percent use kerosene for the said purpose, whereas in the rural areas still more number of households use kerosene for lighting purposes. In this paper an attempt is made to analyze the domestic energy consumption for lighting in Jaipur city. Good amount of literature collected pertaining to domestic energy consumption for lighting purposes across the globe, analyzed thoroughly and presented. Further, a household survey was conducted among 684 households in Jaipur city by employing pre-tested schedule. The schedule has few variables including identification particulars, economic conditions, demographic pattern, domestic lighting appliances at the household level; and the energy consumption pattern. Further the collected data are analyzed and a multiple regression model was developed by considering the total electricity consumption as dependent variable ‘Y’ and the electrical appliances for lighting purposes, such as the number of incandescent bulbs, tube lights, CFL, and LED are considered as ‘X’ variables; and this study conclude with plausible findings and recommendations.

  5. Study on energy consumption of adapters and battery chargers

    International Nuclear Information System (INIS)

    Zijlstra, J.K.; Couvee, J.D.J.

    2001-04-01

    Under the authority of the Dutch Energy Agency 'Novem' industrial design and engineering office NewProducts has performed an inventory study on the energy consumption of adapters and battery chargers. Besides the energy aspects, various aspects of the adapters and chargers have been discussed: The products are classified in categories based on type of the appliance and function of the adapter; The proportions of the Dutch market of adapters and chargers and the players on this market are discussed in brief; The relevant technical background, especially with respect to the energy consumption is discussed. In general there are two types of adapters, linear and switch mode; Product specifications collected from several manufacturers are presented; To fill up the lack of data some measurements have been made of which the results are presented. Together with the product specifications this gives an overview of the performances of adapters and chargers; During the study several ideas and new developments have been found for reducing energy consumption. A remarkable conclusion is that there is no or not much attention from manufacturers or consumers for energy consumption of adapters or no-load power consumption, although there are some initiatives for reduction, e.g. the Code of Conduct on Efficiency of External Power Supplies of the European Union. Lots of linear adapters are still sold and in use, although the efficiency of the switch mode adapters is a lot better. The problem is the higher price. The switch mode adapters are being sold together with sophisticated electronic appliances. Most of the other initiatives and solutions to reduce the no-load energy consumption and improve the efficiency are also technical

  6. Final Energy Consumption Trends and Drivers in Czech Republic and Latvia

    OpenAIRE

    Zhiqian Yu; Dalia Streimikiene; Tomas Balezentis; Rimantas Dapkus; Radislav Jovovic; Veselin Draskovic

    2017-01-01

    This paper analyses the trends of final energy consumption in Latvia and Czech Republic. Analysis of final energy consumption during 2000-2013 period indicated the main driving forces of final energy consumption during and after world financial crisis of 2008. The paper aimed to evaluate the impact of economic activity and other factors on final energy consumption. The decomposition of the final energy consumption is assessed by analyzing effect of different drivers by the main end-users sect...

  7. 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

  8. Evaluation of the effects of vegetation and green walls on building thermal performance and energy consumption

    Science.gov (United States)

    Susorova, Irina

    This research explored the use of vegetation in building facades as a potential solution to the problems of urban ecology and the excessive energy consumption in buildings. Vegetated facades substantially reduce building energy use, reduce the urban heat island effect, improve air quality, and increase the biodiversity of plants and animals in cities. The goal of this research was to evaluate the effects of plants on building thermal performance and energy consumption by developing a thermal model of a building facade covered with a layer of plants. The developed mathematical model accounts for thermal physical processes in a vegetated exterior wall including solar radiation, infrared radiative exchange between the facade and sky, the facade and ground, the facade and vegetation layer, convection to and from the facade, evapotranspiration from the plant layer, heat storage in the facade material, and heat conduction through the facade. The model calculates vegetated facade surface temperature and heat flux through the facade for multiple weather conditions, plant physiological characteristics, and facade parameters inputs. The model was validated with the results of a one-week long experiment measuring the thermal properties of bare and vegetated facades on the Illinois Institute of Technology campus. The experiment and subsequent sensitivity analysis demonstrated that a plant layer can effectively reduce the facade exterior surface temperature, daily temperature fluctuations, exterior wall temperature gradient, and, as a result, provide as much additional thermal insulation to the facade as a 2.5 cm layer of expanded polystyrene insulation. The vegetated facade model was also used to analyze the reduction in energy consumption in generic office and residential thermal zones for multiple parameters. The simulations showed that energy reduction could be as high as 6.2% of annual total energy use and 34.6% of cooling energy use in residential thermal zones. Overall

  9. Residential segregation and mental health among Latinos in a nationally representative survey.

    Science.gov (United States)

    Nobles, Carrie J; Valentine, Sarah E; Zepeda, E David; Wang, Ye; Ahles, Emily M; Shtasel, Derri L; Marques, Luana

    2017-04-01

    Among Latinos, living in a locality with greater Latino ethnic density may be protective for mental health, although findings vary by Latino subgroup, gender and birthplace. Although little studied, Latino residential segregation may capture different pathways linking risk and protective environmental factors to mental health than local ethnic density. This study evaluated the association between residential segregation and mental distress as measured by the Kessler-10 (K10) among Latino participants in the National Latino and Asian American Study (NLAAS). Census data from 2000 was used to calculate metropolitan statistical area (MSA) residential segregation using the dissimilarity and isolation indices, as well as census tract ethnicity density and poverty. Latino subgroup (Puerto Rican, Mexican American, Cuban American and other Latino subgroup), gender and generation status were evaluated as moderators. Among 2554 Latino participants in NLAAS, residential segregation as measured by the isolation index was associated with less mental distress (β -0.14, 95% CI -0.26 to -0.03 log(K10)) among Latinos overall after adjustment for ethnic density, poverty and individual covariates. Residential segregation as measured by the dissimilarity index was significantly associated with less mental distress among men (β -0.56, 95% CI -1.04 to -0.08) but not among women (β -0.20, 95% CI -0.45 to 0.04, p-interaction=0.019). No modification was observed by Latino subgroup or generation. Among Latinos, increasing residential segregation was associated with less mental distress, and this association was moderated by gender. Findings suggest that MSA-level segregation measures may capture protective effects associated with living in Latino communities for mental health. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  10. Residential PV system users' perception of profitability, reliability, and failure risk: An empirical survey in a local Japanese municipality

    International Nuclear Information System (INIS)

    Mukai, Toshihiro; Kawamoto, Shishin; Ueda, Yuzuru; Saijo, Miki; Abe, Naoya

    2011-01-01

    Although previous studies have addressed the reliability of residential PV systems in order to improve the dissemination of the systems among individual users and societies, few have examined users' perception of their own PV systems, which might contain solutions to firmly establish the system into society. First, the present paper examined the extent to which residential PV system users understand specification, reliability, and failure risk of their own systems. Second, causal factors affecting users' satisfaction with PV systems were examined. By analyzing data collected in Kakegawa City, this paper revealed that users did not appropriately understand the basic specifications of their residential PV systems, and in particular, the fact that the systems sometimes failed and therefore needed proper maintenance. Furthermore, a strong causal relationship between users' expectations of financial return from the system and their level of satisfaction was confirmed empirically. These results suggested that excessive focus on profitability and relatively low interest in the systems' reliability and failure risk should be addressed more to avoid problems that could potentially hamper the establishment of this technology into society. - Highlights: → We examined PV users' perception of its specification, reliability, and failure risk. → Data for analysis were collected by questionnaire survey in a Japanese local municipality. → We revealed users did not appropriately understand the basic specifications. → A strong causal relationship between users' expectations of financial return and their level of satisfaction was confirmed empirically.

  11. China building energy consumption: Situation, challenges and corresponding measures

    International Nuclear Information System (INIS)

    Cai, W.G.; Wu, Y.; Zhong, Y.; Ren, H.

    2009-01-01

    As one of the biggest parts of total national energy consumption (TNEC), building energy consumption (BEC) catches public eyes and has been regarded as a crucial problem of the current society. For the past 20 years, BEC in china has been increasing at a high speed. To curb the rapid growing of BEC, china has enforced and implemented a series of policies. These include enforcing BEC constraints on new building projects, promoting more environment friendly building designs, establishing a more sophisticated legislation for building energy conservation, and increasing the total budget in the area of BEC control. This article analyzed china BEC situation and the challenges. As the main point, the measures required by China government to improve building energy efficiency were introduced as well.

  12. Household energy consumption and consumer electronics: The case of television

    International Nuclear Information System (INIS)

    Crosbie, Tracey

    2008-01-01

    In recent years, there has been a dramatic rise in the number of consumer electronics in households. These new technologies and the services that support them enable new highly energy intensive behaviours. Using in-depth interview data collected from 20 households in 2006, this paper explores these energy intensive behaviours, using the example of the use of televisions. In doing so, it illustrates how the design and marketing of consumer electronics, and the services which support them, actively encourage energy intensive behaviours and how householders are reconfiguring their homes and lifestyles to fit these behaviours. This latter point is significant because, as householders change their homes and daily lives to fit energy intensive consuming behaviours, it will become increasingly difficult to encourage people to reduce their household energy consumption. This paper concludes with the implications of the research findings for policies designed to reduce household energy consumption

  13. FDI, Economic Growth, Energy Consumption & Environmental Nexus in Bangladesh

    Directory of Open Access Journals (Sweden)

    Sandip SARKER

    2016-04-01

    Full Text Available This paper attempts to investigate the relationship among economic growth, energy consumption, CO2 emission, FDI and natural gas usage in Bangladesh through co-integration and Vector Error Correction model (VECM over the period 1978 to 2010. Using ADP unit root tests it is found that all the four variables are integrated in first difference. The Johansen co-integration tests indicate that there is existence of long-run relationship among the variables. The VECM long run causality model indicates that there is a long run causality running from energy consumption and natural gas usage by industrial sector to GDP as well as from CO2 emission to FDI. Likewise in the short run a causal relationships have also been found among the variables. Moreover our model is found be error free based on several statistical test. Our results provide important policy suggestions regarding our foreign direct investment, environmental issues and economic growth nexus in Bangladesh.

  14. Analysis of Home Energy Consumption by K-Mean

    Directory of Open Access Journals (Sweden)

    Fahad Razaque

    2017-10-01

    Full Text Available The smart meter offered exceptional chances to well comprehend energy consumption manners in which quantity of data being generated. One request was the separation of energy load-profiles into clusters of related conduct. The Research measured the resemblance between groups them together and load-profiles into clusters by k-means clustering algorithm. The cluster met, also called “Gender (Male/Female, House (Rented/Owned and customers status (Satisfied/Unsatisfied” display methods of consuming energy. It provided value information aimed at utilities to generate specific electricity charges and healthier aim energy efficiency programs. The results show that 43% extremely dissatisfied of energy customer is achieved by using energy consumption.

  15. The energy consumption of control systems; Het energiegebruik van regelinstallaties

    Energy Technology Data Exchange (ETDEWEB)

    Van Gulik, A.R.; De Wildt, M.G. [Grontmij Nederland, Amersfoort (Netherlands)

    2013-07-15

    Control systems for e.g. indoor climate and illumination are essential in modern building services, and useful for comfort or energy conservation. Energy conservation is of course an important aim, but what is the energy consumption of the control systems? Is the consumption higher than the savings? This question was subject of a comprehensive study, with measurements and simulation calculations. It can be concluded that the energy consumption of control installation for spaces is substantial [Dutch] Regelinstallaties voor bijvoorbeeld klimaatregeling, verlichtingsregeling en domotica zijn niet meer weg te denken uit de moderne installatietechniek, of ze nu dienen voor comfort, gemak of energiebesparing. Maar hoeveel energie gebruiken deze installaties eigenlijk? Voor ontwerpers blijkt dit helemaal geen issue te zijn terwijl adviseurs, installateurs en zelfs fabrikanten zeggen hiervan geen idee te hebben. Door metingen en het gebruik van berekeningsmodellen is vastgesteld wat het energiegebruik van regelinstallaties op jaarbasis is. Dit blijkt substantieel te zijn, maar er zijn mogelijkheden om het gebruik te reduceren.

  16. Various multistage ensembles for prediction of heating energy consumption

    Directory of Open Access Journals (Sweden)

    Radisa Jovanovic

    2015-04-01

    Full Text Available Feedforward neural network models are created for prediction of daily heating energy consumption of a NTNU university campus Gloshaugen using actual measured data for training and testing. Improvement of prediction accuracy is proposed by using neural network ensemble. Previously trained feed-forward neural networks are first separated into clusters, using k-means algorithm, and then the best network of each cluster is chosen as member of an ensemble. Two conventional averaging methods for obtaining ensemble output are applied; simple and weighted. In order to achieve better prediction results, multistage ensemble is investigated. As second level, adaptive neuro-fuzzy inference system with various clustering and membership functions are used to aggregate the selected ensemble members. Feedforward neural network in second stage is also analyzed. It is shown that using ensemble of neural networks can predict heating energy consumption with better accuracy than the best trained single neural network, while the best results are achieved with multistage ensemble.

  17. Energy consumption of buildings depends on the daylight

    Directory of Open Access Journals (Sweden)

    Piotrowska Ewa

    2017-01-01

    Full Text Available In order to reduce energy consumption in heated buildings and thus fossil fuels, there is a need for proper modernization of existing buildings and new construction with reduced energy demand. The size and the insulation of windows have a decisive influence on the amount of heat loss. The study looks into the impact of decreased power consumption through optimal use of sunlight through the selection of the size of windows, type of windows, and adjusting the light intensity using an automatic control of lighting according to the amount of sunlight reaching the room. The research related to the differences between the six types of windows in relations to the energy consumption of the building.

  18. Carbon dioxide emissions, output, and energy consumption categories in Algeria.

    Science.gov (United States)

    Amri, Fethi

    2017-06-01

    This study examines the relation between CO 2 emissions, income, non-renewable, and renewable energy consumption in Algeria during the period extending from 1980 to 2011. Our work gives particular attention to the validity of environmental Kuznets curve (EKC) hypothesis. The autoregressive distributed lag (ARDL) with break point method outcome demonstrates the positive effect of non-renewable type of energy on CO 2 emissions consumption. On the contrary, the results reveal an insignificant effect of renewable energy on environment improvement. Moreover, the results accept the existence of EKC hypothesis but the highest gross domestic product value in logarithm scale of our data is inferior to the estimated turning point. Consequently, policy-makers in Algeria should expand the ratio of renewable energy and should decrease the quota of non-renewable energy consumption.

  19. Understanding energy consumption of sensor enabled applications on mobile phones.

    Science.gov (United States)

    Crk, Igor; Albinali, Fahd; Gniady, Chris; Hartman, John

    2009-01-01

    Recent research in ubiquitous and mobile computing uses mobile phones and wearable accelerometers to monitor individuals' physical activities for personalized and proactive health care. The goal of this project is to measure and reduce the energy demand placed on mobile phones that monitor individuals' physical activities for extended periods of time with limited access to battery recharging and mobile phone reception. Many issues must be addressed before mobile phones become a viable platform for remote health monitoring, including: security, reliability, privacy, and, most importantly, energy. Mobile phones are battery-operated, making energy a critical resource that must be carefully managed to ensure the longest running time before the battery is depleted. In a sense, all other issues are secondary, since the mobile phone will simply not function without energy. In this project, we therefore focus on understanding the energy consumption of a mobile phone that runs MIT wockets, physical activity monitoring applications, and consider ways to reduce its energy consumption.

  20. Energy consumption and total factor productivity growth in Iranian agriculture

    Directory of Open Access Journals (Sweden)

    Reza Moghaddasi

    2016-11-01

    Full Text Available In this study we investigated the relation between energy consumption and growth of total factor productivity (TFP of agriculture in Iran from 1974 to 2012 using Solow residual method. The results from estimated aggregate Cobb–Douglas production function showed that one percent change in the value of labor, capital and energy will lead to 4.07, 0.09 and 0.49 percent change in agriculture value added, respectively. Also in a long term, based on the Johansen cointegration test, there is a negative relation between TFP growth and energy consumption in Iranian agriculture which might be due to cheap and inefficient energy use in this sector. Gradual liberalization of energy price and use of so called green box support policies is recommended.

  1. 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.

  2. Taxation on environmental pollution and energy consumption 1995

    International Nuclear Information System (INIS)

    Anon.

    1996-01-01

    The document gives statistics on taxation of pollution caused to the environment and on energy consumption in Denmark. These forms of taxation are rapidly increasing in Denmark as a consequence of the country's environmental policy. In 1995 the total state revenue from these sources was 23.5 billion Danish kroner which comprises 7.1% (compared to 6.5% for 1994) of the total revenue from all forms of taxation. Revenues in 1995 are 8.2 billion Danish kroner higher than in 1986. The State's revenue from taxation of energy consumption was 18.4 billion Danish kroner, which is 78% of revenues from taxation on both environmental pollution and on energy consumption. Revenues from taxation on pollution of the environment was 5.2 billion Danish kroner. The contribution of the taxation of environmental pollution has increased from 2% in 1986 to 22% in 1995 of the total revenue from taxation of both environmental pollution and energy consumption. Statistics include revenues from taxation on petrol, electric power, the use of gas and diesel oil and fuel oils, on kerosone and tar fuels for heating, on autogas and bottled gas, and on pit coal and lignite. Details are given on taxation revenues from the taxation of the different forms of environmental pollution such as carbon dioxide and rubbish etc. and on the taxation on carbon dioxide emission from the use of energy products such as electricity and various fuels. Information is given on grants given to projects for reducing the emission of carbon dioxide from 1993-1996 and on the phasing of taxation on environmental pollution in accordance with the Danish tax reforms. (AB)

  3. A systems approach to reduce urban rail energy consumption

    International Nuclear Information System (INIS)

    González-Gil, A.; Palacin, R.; Batty, P.; Powell, J.P.

    2014-01-01

    Highlights: • An insightful overview of energy usage in urban rail systems is given. • The principal measures to reduce urban rail energy consumption are appraised. • A methodology is proposed to help implement energy saving schemes in urban rail. • Regenerative braking is shown to offer the greatest energy saving potential. - Abstract: There is increasing interest in the potential of urban rail to reduce the impact of metropolitan transportation due to its high capacity, reliability and absence of local emissions. However, in a context characterised by increasing capacity demands and rising energy costs, and where other transport modes are considerably improving their environmental performance, urban rail must minimise its energy use without affecting its service quality. Urban rail energy consumption is defined by a wide range of interdependent factors; therefore, a system wide perspective is required, rather than focusing on energy savings at subsystem level. This paper contributes to the current literature by proposing an holistic approach to reduce the overall energy consumption of urban rail. Firstly, a general description of this transport mode is given, which includes an assessment of its typical energy breakdown. Secondly, a comprehensive appraisal of the main practices, strategies and technologies currently available to minimise its energy use is provided. These comprise: regenerative braking, energy-efficient driving, traction losses reduction, comfort functions optimisation, energy metering, smart power management and renewable energy micro-generation. Finally, a clear, logical methodology is described to optimally define and implement energy saving schemes in urban rail systems. This includes general guidelines for a qualitative assessment and comparison of measures alongside a discussion on the principal interdependences between them. As a hypothetical example of application, the paper concludes that the energy consumption in existing urban

  4. 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.

  5. The Effects of Utilizing Natural Light to Reduce Energy Consumption

    OpenAIRE

    SHEIKH, Shilla; GHALEHNOVI, Afsane

    2015-01-01

    Abstract.While Iran has the richest energy source, but wastage and improper use of it has imposed irretrievable damages to our annual budget; such that construction division has allocated the most level of energy to itself with more than 40% of total energy produced in Iran and consumption of expenses equal to 30% of earning gained from oil sale. Since electricity energy has the most share of energy consumption in construction division, providing modern ways to reduce the consumption of this ...

  6. Energy consumption, output and trade nexus in North Africa

    OpenAIRE

    Ben Jebli, Mehdi; Ben Youssef, Slim

    2013-01-01

    This study uses panel cointegration techniques to examine the impact of energy consumption, and trade on economic growth for five North Africa countries within a multivariate framework over the period 1980-2009. Short-run dynamic relationship shows that there is evidence of one way short-run relationship from i) output, exports, and capital to imports, ii) fossil fuels consumption to exports, iii) exports to capital and iv) labor to combustible renewables and waste consumption. The vector err...

  7. 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

  8. Modeling Aggregate Hourly Energy Consumption in a Regional Building Stock

    Directory of Open Access Journals (Sweden)

    Anna Kipping

    2017-12-01

    Full Text Available Sound estimates of future heat and electricity demand with high temporal and spatial resolution are needed for energy system planning, grid design, and evaluating demand-side management options and polices on regional and national levels. In this study, smart meter data on electricity consumption in buildings are combined with cross-sectional building information to model hourly electricity consumption within the household and service sectors on a regional basis in Norway. The same modeling approach is applied to model aggregate hourly district heat consumption in three different consumer groups located in Oslo. A comparison of modeled and metered hourly energy consumption shows that hourly variations and aggregate consumption per county and year are reproduced well by the models. However, for some smaller regions, modeled annual electricity consumption is over- or underestimated by more than 20%. Our results indicate that the presented method is useful for modeling the current and future hourly energy consumption of a regional building stock, but that larger and more detailed training datasets are required to improve the models, and more detailed building stock statistics on regional level are needed to generate useful estimates on aggregate regional energy consumption.

  9. An overview of energy consumption of the globalized world economy

    International Nuclear Information System (INIS)

    Chen, Z.M.; Chen, G.Q.

    2011-01-01

    For the globalized world economy with intensive international trade, an overview of energy consumption is presented by an embodied energy analysis to track both direct and indirect energy uses based on a systems input-output simulation. In 2004, the total amounts of energy embodied in household consumption, government consumption, and investment are 7749, 874, and 2009 Mtoe (million tons of oil equivalent), respectively. The United States is shown as the world's biggest embodied energy importer (683 Mtoe) and embodied energy surplus receiver (290 Mtoe), in contrast to China as the biggest exporter (662 Mtoe) and deficit receiver (274 Mtoe). Energy embodied in consumption per capita varies from 0.05 (Uganda) to 19.54 toe (Rest of North America). Based on a forecast for 2005-2035, China is to replace the United States as the world's leading embodied energy consumer in 2027, when its per capita energy consumption will be one quarter of that of the United States. - Highlights: → We present an overview of global energy profile in terms of embodied energy. → The US and China are top embodied energy consumers as well as traders in 2004. → Equality issue is studied by analyzing per capita embodied energy consumption. → The US remains to be the leading energy consumer until replaced by China in 2027.

  10. Predicting the Specific Energy Consumption of Reverse Osmosis Desalination

    Directory of Open Access Journals (Sweden)

    Ashlynn S. Stillwell

    2016-12-01

    Full Text Available Desalination is often considered an approach for mitigating water stress. Despite the abundance of saline water worldwide, additional energy consumption and increased costs present barriers to widespread deployment of desalination as a municipal water supply. Specific energy consumption (SEC is a common measure of the energy use in desalination processes, and depends on many operational and water quality factors. We completed multiple linear regression and relative importance statistical analyses of factors affecting SEC using both small-scale meta-data and municipal-scale empirical data to predict the energy consumption of desalination. Statistically significant results show water quality and initial year of operations to be significant and important factors in estimating SEC, explaining over 80% of the variation in SEC. More recent initial year of operations, lower salinity raw water, and higher salinity product water accurately predict lower values of SEC. Economic analysis revealed a weak statistical relationship between SEC and cost of water production. Analysis of associated greenhouse gas (GHG emissions revealed important considerations of both electricity source and SEC in estimating the GHG-related sustainability of desalination. Results of our statistical analyses can aid decision-makers by predicting the SEC of desalination to a reasonable degree of accuracy with limited data.

  11. Transport energy consumption achievement based on indicator analysis

    Science.gov (United States)

    Jiang, Jian

    2017-06-01

    In order to evaluate the transport sustainability level for regions, the concept of achievement efficiency in transport energy consumption is initially suggested in this paper. The research object is not only for the energy consumption by transport operation but also the whole life of the transport procedure, which is the thought of life cycle assessment. And then, on the quantitative analysis to calculate the transport energy achievement efficiency of the regions, the indicators that can represent the achievement of transport energy consumption are convincingly found out by indicator theory. Next, concentration is focused on the transport related indicators and proper indicators are picked up from the candidate indicators, which were the affecting factors to this issue. After that, using the selected indicators, we introduce the method of data envelopment analysis to do quantitative analysis, which helps to get the achievement efficiency of transport energy among cities all over the world. The analysis result shows the efficient regions and the inefficient regions respectively. Furthermore, the detailed efficiency value of each region is also laid out clearly. For the improvement, the inadequate output or input variables of the inefficient regions were listed compared with the efficient regions so that corresponding transport policy implications can be resulted for the inefficient regions to reach high level sustainability.

  12. Energy consumption and economic development in Sub-Sahara Africa

    International Nuclear Information System (INIS)

    Kebede, Ellene; Kagochi, John; Jolly, Curtis M.

    2010-01-01

    Sub-Saharan African countries' economic development is dependent on energy consumption. This paper assesses total energy demand, which is composed of traditional energy (wood fuel) and commercial energy (electricity and petroleum), in the Central, East, South, and West regions of Sub-Saharan Africa. Cross-sectional time series data for 20 countries in 25 years are analyzed, and the results of the study show that wood fuel accounts for 70% of energy consumption, followed by petroleum, with most industrial activities utilizing some form of wood fuel. Regression results suggest that energy demand is inversely related to the price of petroleum and industrial development, but positively related to GDP, population growth rate, and agricultural expansion, and that price elasticity is less than one. The model results also show that there are regional differences in energy demand. In addition, the interaction of population growth rates by regions generates mixed results, and there are regional differences in the use of commercial energy consumption, and GDP growth. The findings of this study suggest that countries must diversify their energy sources and introduce energy-efficient devices and equipment at all levels of the economy to improve GDP growth rate and GDP per capita. (author)

  13. Modelling Electrical Energy Consumption in Automotive Paint Shop

    Science.gov (United States)

    Oktaviandri, Muchamad; Safiee, Aidil Shafiza Bin

    2018-03-01

    Industry players are seeking ways to reduce operational cost to sustain in a challenging economic trend. One key aspect is an energy cost reduction. However, implementing energy reduction strategy often struggle with obstructions, which slow down their realization and implementation. Discrete event simulation method is an approach actively discussed in current research trend to overcome such obstructions because of its flexibility and comprehensiveness. Meanwhile, in automotive industry, paint shop is considered the most energy consumer area which is reported consuming about 50%-70% of overall automotive plant consumption. Hence, this project aims at providing a tool to model and simulate energy consumption at paint shop area by conducting a case study at XYZ Company, one of the automotive companies located at Pekan, Pahang. The simulation model was developed using Tecnomatix Plant Simulation software version 13. From the simulation result, the model was accurately within ±5% for energy consumption and ±15% for maximum demand after validation with real system. Two different energy saving scenarios were tested. Scenario 1 was based on production scheduling approach under low demand situation which results energy saving up to 30% on the consumption. Meanwhile scenario 2 was based on substituting high power compressor with the lower power compressor. The results were energy consumption saving of approximately 1.42% and maximum demand reduction about 1.27%. This approach would help managers and engineers to justify worthiness of investment for implementing the reduction strategies.

  14. Energy consumption optimization of a continuous ice cream process

    International Nuclear Information System (INIS)

    González-Ramírez, J.E.; Leducq, D.; Arellano, M.; Alvarez, G.

    2013-01-01

    Highlights: • This work investigates potential energy savings of an ice cream freezer. • From a full load compressor to a variable speed compressor one in freezer. • 30% less of energy consumption. • It is possible to save between 11 and 14 MWh per year by optimizing freezers. - Abstract: This work investigates potential energy saves in an ice cream freezer by using a variable speed compressor and optimization’s methodology for operating conditions during the process. Two configurations to control the refrigeration capacity were analyzed, the first one, modifies the pressure through the pilot control valve (conventional refrigeration system) and the second one with a variable speed compressor, both with a float expansion valve. Variable speed compressor configuration has showed the highest coefficient of performance and around of 30% less of energy consumption than the conventional one. The optimization of operating conditions in order to minimize the energy consumption is also presented. It was calculated only in France, for all ice cream and sorbet production, it is possible to save energy between 11 and 14 MWh per year by optimizing the operation of the refrigeration system through a variable speed compressor configuration

  15. Racial Residential Segregation and Risky Sexual Behavior Among Non-Hispanic Blacks, National Survey of Family Growth, 2006 – 2010

    Science.gov (United States)

    Lutfi, Khaleeq; Trepka, Mary Jo; Fennie, Kristopher P.; Ibanez, Gladys; Gladwin, Hugh

    2015-01-01

    Sexually transmitted infections (STIs) including human immunodeficiency virus (HIV) have disproportionately affected the non-Hispanic black population in the United States. A person’s community can affect his or her STI risk by the community’s underlying prevalence of STIs, sexual networks, and social influences on individual behaviors. Racial residential segregation—the separation of racial groups in a residential context across physical environments—is a community factor that has been associated with negative health outcomes. The objective of this study was to examine if non-Hispanic blacks living in highly segregated areas were more likely to have risky sexual behavior. Demographic and sexual risk behavior data from non-Hispanic blacks aged 15 – 44 years participating in the National Survey of Family Growth were linked to Core-Based Statistical Area segregation data from the U.S. Census Bureau. Five dimensions measured racial residential segregation, each covering a different concept of spatial variation. Multilevel logistic regressions were performed to test the effect of each dimension on sexual risk behavior controlling for demographics and community poverty. Of the 3,643 participants, 588 (14.5%) reported risky sexual behavior as defined as two or more partners in the last 12 months and no consistent condom use. Multilevel analysis results show that racial residential segregation was associated with risky sexual behavior with the association being stronger for the centralization [aOR (95% CI)][2.07 (2.05 – 2.08)] and concentration [2.05 (2.03 – 2.07)] dimensions. This suggests risky sexual behavior is more strongly associated with neighborhoods with high concentrations of non-Hispanic blacks and an accumulation of non-Hispanic blacks in an urban core. Findings suggest racial residential segregation is associated with risky sexual behavior in non-Hispanic blacks 15 – 44 years of age with magnitudes varying by dimension. Incorporating

  16. A novel approach for detail surveys by the motorized GPSSIT concept in residentials areas and its application

    Directory of Open Access Journals (Sweden)

    Ibrahim Kalayci

    Full Text Available This paper introduces the usage and reliability of Motorized GPSSIT technique which is a novel approach for surveying. It reviews the advantages of Motorized GPSSIT concept and also considers to provide GNSS accuracy in the process of surveying especially for the cases which cannot be surveyed directly by the satellite navigation systems (GPS-GNSS, such as closely packed residential areas, tall buildings, trees, etc., and also places which GNSS receivers cannot be work efficiently due to signal interferences. In this technique, all the survey instruments are installed on a bed of a pick-up truck whereas in present techniques they are installed on the ground, therefore it is called Motorized GPSSIT. Study area was chosen within the housing area of our campus. In this area, classical surveying, GPSSIT and Motorized GPSSIT were performed to collect data for comparison and for the analysis of this technique's usability and reliability. Stop and Go and RTK surveying techniques were performed with GPSSIT and Motorized GPSSIT concepts. It is shown that the Motorized GPSSIT technique is applicable as other present techniques in terms of accuracy and reliability.

  17. Basic survey project of advanced efficiency of energy consumption in developing countries. Cooperation survey of efficient consumption of petroleum (survey of industrial foundation in the Philippines); Hatten tojokoku energy shohi koritsuka kiso chosa nado jigyo sekiyu shohi koritsuka kyoryoku chosa. Philippine koku sangyo kiso chosa hokokusho

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    The purpose of the survey is to promote the international research cooperation projects from the survey stage, via demonstration research stage to the diffusion stage. Field surveys have been conducted to find out the needs of energy saving and environmental technology for the efficient consumption of petroleum in the developing countries with mass-consumption of petroleum in the future. The survey was conducted in the Philippines in the FY 1996. Next developing themes were proposed. The first theme was developing method of sugar plant. The magnesia method has been developed as a basic technology for cleaning sugar solution process instead of using lime. By the recycling method, the waste cake amount can be remarkably reduced. The second theme was electron beam exhaust gas treatment by a dry method of simultaneous desulfurization and denitrification of high concentration SOx and NOx in the fertilizer production plants. The third theme was the energy saving technology for SOx reduction of heating furnace for iron-steel by using an ultra energy saving-type regenerative burner. The last theme was chlorine bypass technology in cement industry, which would become an advanced technology development for the use of chlorine containing fuels in the near future. 40 refs., 36 figs., 79 tabs.

  18. Household direct energy consumption and CO2 emissions in European countries.

    NARCIS (Netherlands)

    Meirmans, Koen

    2013-01-01

    SUMMARY Household direct energy consumption is often regarded as a given and determined using a top-down approach. Furthermore, research regarding household energy consumption tends to focus on western countries. This research uses a bottom-up approach t

  19. 75 FR 66008 - Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major...

    Science.gov (United States)

    2010-10-27

    ... Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings; Correction AGENCY: Office of Energy Efficiency and Renewable Energy, Department of... the fossil fuel- generated energy consumption [[Page 66009

  20. Survey report for fiscal 1998. International project for rationalizing energy use (a project for investigating analyzing a tool to improve energy consumption efficiency in Asia) (Data collection 1 (Year 1990 data)); 1998 nendo kokusai energy shiyo gorika nado taisaku jigyo chosa hokokusho. Asia energy shohi koritsuka bunseki tool chosa jigyo (shiryoshu 1 1990 nen data)

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    With an objective to identify quantitatively the mutually influencing effect of economical development and energy consumption efficiency improvement in the entire Asia-Pacific region, a data collection was prepared according to the common industry classification as a tool to analyze energy consumption improvement in Asia. This data collection summarizes the industry relation tables and the energy relation tables available in eight Asian countries (Korea, Indonesia, Thailand, Philippines, China, Taiwan, Singapore and Malaysia) and Japan. Both kinds of the tables are unified in conception among the nations, hence comparable. The industry relation table consists of a basic transaction table, a charged coefficient table, a final demand converter table, an import coefficient table, a reverse matrix table, a sensitivity coefficient able, an influence force coefficient table, a production inducing amount table, a production inducing coefficient table, a production induction dependence table, an import inducing amount table, an import induction coefficient table, and an import induction dependence table. The energy table consists of an energy input table, an energy consumption table, and an emission table. (NEDO)

  1. A note on the long-run elasticities from the energy consumption-GDP relationship

    Energy Technology Data Exchange (ETDEWEB)

    Narayan, Paresh Kumar [School of Accounting, Economics and Finance, Faculty of Business and Law, Deakin University, 221 Burwood Highway, Burwood, Victoria 3125 (Australia); Narayan, Seema [School of Economics, Finance, and Marketing, Royal Melbourne Institute of Technology, Melbourne (Australia); Popp, Stephan [Department of Economics, University of Duisburg-Essen (Germany)

    2010-03-15

    The goal of this paper is to examine the long-run elasticities of the impacts of energy consumption on GDP and GDP on energy consumption. The energy consumption-GDP relationship is amongst the most popular relationships examined in the energy economics literature. The bulk of the extant literature has assumed a positive relationship between energy consumption and real GDP. Our analysis shows that in only around 60% of the countries considered the relationship is positive. (author)

  2. Analysis of Transportation Energy Consumption: En Route Towards Carbon Reduction for Sustainable Campus

    Science.gov (United States)

    Sukor, Nur Sabahiah Abdul; Asmah Hassan, Sitti

    2017-08-01

    This paper reports the estimation of transportation energy consumption based on the travel behaviour characteristics of the population in the Engineering Campus, Universiti Sains Malaysia. The travel behaviour characteristics include the travel distance, travel speed, number of trips per day, and modal share of the transport, which only focused on the trips that were made inside the campus. The travel behaviour data were collected through online and pencil-and-paper questionnaire survey involving 1000 respondents including staffs and students, which is equivalent to 25% of the total population. The result from the survey showed that a total of 1897 trips per day were made by the motorised vehicle owners including car and motorcycle owners. The total trip length per day was 1056.29 km with an average speed of 45km/h. The average trip for each person was four trips per day. The estimate energy consumption from the motorised vehicles in this campus was reported to be 1.25E9 MJ.

  3. Daily temperature integration: a simulation study to quantify energy consumption

    Energy Technology Data Exchange (ETDEWEB)

    Koerner, O. [The Royal Veterinary and Agricultural University, Taastrup (Denmark). Department of Agricultural Sciences, Section Horticulture; Bakker, M.J.; Heuvelink, E. [Wageningen University (Netherlands). Department of Plant Sciences, Horticultural Production Chains Group

    2004-03-01

    A combined greenhouse climate and control model was used to study energy consumption in year-round cut chrysanthemum. Temperature was either controlled for energy saving with temperature integration within 24 h using the margin between heating and ventilation temperature b as control (TI) or the temperature integration regime was restricted within 24 h by a set point for negative temperature difference between average day and average night temperature T{sub DIF} to attain a temperature regime for stem length control (TI{sub DIF}). Energy consumption was reduced by both regimes compared to a standard regime according to commercial practice when heating in winter was shifted to nighttime using a screen. With increasing weather fluctuations in spring and autumn, weekly energy consumption could decrease by more than 60% for TI with {+-}6{sup o}C temperature bandwidth. With TI{sub DIF} in the same period, only 37 or 17% (T{sub DIF} of -6 and -12{sup o}C, respectively) less energy was used than with a standard recommended climate regime (TP). In general, TI{sub DIF} reduced energy demand compared to TP, but energy saving was higher with TI. In deciding whether to apply either TI or TI{sub DIF}, the actual cultivation period is the most important criterion. Controlling stem length with a negative temperature difference in spring and autumn has the highest additional costs, control with almost no negative day to night temperature difference is possible in summer; during winter, both temperature control regimes result in an almost similar greenhouse climate. (author)

  4. Energy consumption of electricity end uses in Malaysian historic buildings

    Energy Technology Data Exchange (ETDEWEB)

    Kamaruzzaman, Syahrul N.; Edwards, Rodger E.; Zawawi, Emma M.A.

    2007-07-15

    Malaysia has inherited hundreds of heritage buildings from the past including those from the Indian, Chinese and Colonial eras apart from the indigenous traditional buildings. These buildings have the most unique ecstatic value from the viewpoint of architecture, culture, art, etc. Malaysian economy boom in 1980s spurred the need for more buildings especially in large cities. As a result, most of the historic buildings have been converted and transformed into commercial use. As reported by METP, Malaysian buildings energy uses are reflected by the energy consumption in the industrial and commercial sectors. Most of the buildings' energy consumption is electricity, used for running and operating the plants, lighting, lifts and escalators and other equipment in the buildings. These are amongst the factors that have resulted in the high demand for electricity in Malaysia. As outlined in the eighth Malaysia Plan, Malaysia is taking steps in conserving energy and reducing energy consumption on electricity consumption in building. This paper aims to present the breakdown of the major electricity end uses characteristics of historic buildings in Malaysia. The analysis was performed on annual data, allowing comparison with published benchmarks to give an indication of efficiency. Based on data collected a 'normalisation' calculated electricity consumption was established with the intention of improving the comparison between buildings in different climatic regions or with different occupancy patterns. This is useful for identifying where the design needed further attention and helped pinpoint problem areas within a building. It is anticipated that this study would give a good indication on the electricity consumption characteristics of historic buildings in Malaysia. (Author)

  5. Energy consumption and economic growth in China: A reconciliation

    International Nuclear Information System (INIS)

    Talha Yalta, A.; Cakar, Hatice

    2012-01-01

    In conventional causality testing based on asymptotic distribution theory, there is a high risk of wrongly rejecting the true null of no causality especially when the sample size is as small as typically seen in the literature. In this study, we offer a formal diagnosis of the existing contradictory results on the causal relationship between energy consumption and real GDP. We also employ a time series oriented advanced data generation process to perform simulation based inference for the People's Republic of China. Our study covers the 1971–2007 period and considers five different aggregated and disaggregated energy consumption measures as well as three different lag orders in both a bivariate as well as a multivariate frameworks. Our maximum entropy bootstrap based analysis, which avoids pretest biases and is also robust to Type I errors, supports the neutrality hypothesis in 53 out of the total of 60 model estimations. The strong results show that coarse aggregate data has a limited potential to observe the complex causal linkages between energy consumption and economic growth. Future policy oriented research on this nexus requires more focused analyses based on sectoral and provincial data. - Highlights: ► Some of the contradictory findings on the energy–growth nexus are due to asymptotic testing under small samples. ► The bootstrap method can provide huge improvements upon the approximations of asymptotic theory. ► 53 out of a total of 60 models that we consider consistently support the neutrality hypothesis for China. ► Future policy oriented research on this nexus should aim toward detailed analyses using sectoral and provincial data.

  6. 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.

  7. An analysis of the influence of urban form on energy consumption by individual consumption behaviors from a microeconomic viewpoint

    International Nuclear Information System (INIS)

    Yin, Yanhong; Mizokami, Shoshi; Maruyama, Takuya

    2013-01-01

    Using 1997 personal trip survey (PTS) data in the Kumamoto metropolitan area, this paper examined the influence of urban form on energy consumption through an energy estimation model from a microeconomic perspective. As all goods and service are assumed to satisfy the need of people, we estimated the individual energy consumption based on the demand of goods, which is explained by a utility maximization problem constrained by income. 52.84 GJ of energy is estimated for one person one year in Kumamoto metropolitan area. 19.57% of energy is used for mobility goods. A spatial regression was performed to analyze the relationship between energy efficiency and urban form characteristics in terms of density, diversity, and accessibility. The results of regression analysis show that employment density, ratio of employee in retail department, transit fare, and distance to city center are the most influential factors of energy efficiency. Findings suggest compact development and integrated policies for increasing employment density, especially, employment proportion of local residents are suggested. Moreover, measures to improve the attractiveness of mass transit should be encouraged to increase energy efficiency in Kumamoto. - Highlights: • Energy consumption is estimated by demand of composite goods, mobility goods. • 52.84 GJ of energy is estimated to satisfy one person per year in Kumamoto. • 80% of energy is for composite goods and 20% for mobility goods. • Land use diversity and distance to city center, affect energy consumption most. • Employment density and transit fare are influential factors of energy efficiency

  8. Applying Smart Grid Technology For Reducing Electric Energy Consumption

    Energy Technology Data Exchange (ETDEWEB)

    Hoffman, Roy

    2010-09-15

    In recent years the term 'Smart Grid' has become a widely used buzz word with respect to the operation of Electric Power Systems. One analysis has suggested that a Smart Grid could potentially reduce annual energy consumption in the USA by 56 to 203 billion kWh in 2030, corresponding to a 1.2 to 4.3% reduction in projected retail electricity sales in 2030. This paper discusses some of the smart grid technologies pertaining to the operation of electric power distribution networks.

  9. Energy consumption of small refrigerators - Information leaflet; Merkblatt Kleinkuehlschrank

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2009-07-01

    In this leaflet published by the Swiss Federal Office of Energy (SFOE), the energy consumption of small refrigerators with a capacity of less than 100 litres is reported on. Such small refrigerators are often used in hotel rooms or in campers. It is noted that, in comparison, a typical, 150 litre class A++ domestic refrigerator uses only a fraction of the amount of energy used by such small refrigerators. The results of measurements made according to EN 153 and ISO 15502 norms are discussed. Recommendations are made on the purchase and operation of these small refrigerators.

  10. Inferring Parametric Energy Consumption Functions at Different Software Levels

    DEFF Research Database (Denmark)

    Liqat, Umer; Georgiou, Kyriakos; Kerrison, Steve

    2016-01-01

    the development of a translation from LLVM IR to an intermediate representation and its integration with existing components, a translation from ISA to the same representation, a resource analyzer, an ISA-level energy model, and a mapping from this model to LLVM IR. The approach has been applied to programs....... This paper provides insights into the trade-off of precision versus analyzability at these levels.......The static estimation of the energy consumed by program executions is an important challenge, which has applications in program optimization and verification, and is instrumental in energy-aware software development. Our objective is to estimate such energy consumption in the form of functions...

  11. The method of planning the energy consumption for electricity market

    Science.gov (United States)

    Russkov, O. V.; Saradgishvili, S. E.

    2017-10-01

    The limitations of existing forecast models are defined. The offered method is based on game theory, probabilities theory and forecasting the energy prices relations. New method is the basis for planning the uneven energy consumption of industrial enterprise. Ecological side of the offered method is disclosed. The program module performed the algorithm of the method is described. Positive method tests at the industrial enterprise are shown. The offered method allows optimizing the difference between planned and factual consumption of energy every hour of a day. The conclusion about applicability of the method for addressing economic and ecological challenges is made.

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

    DEFF Research Database (Denmark)

    Maneschi, Davide

    2013-01-01

    efficient use of energy. The case study shows how obligations set up by a policy instrument are employed by a bank to offer its clients dedicated loans in order to finance energy efficiency improvements in their houses. The drivers and the context behind the bank’s activities are analyzed, and the relevance...... – 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...

  13. Impact of external conditions on energy consumption in industrial halls

    Science.gov (United States)

    Żabnieńśka-Góra, Alina

    2017-11-01

    The energy demand for heating the halls buildings is high. The impact on this may have the technology of production, building construction and technology requirements (HVAC systems). The isolation of the external partitions, the location of the object in relation to the surrounding buildings and the degree of the interior insolation (windows and skylights) are important in the context of energy consumption. The article discusses the impact of external conditions, wind and sunlight on energy demand in the industrial hall. The building model was prepared in IDA ICE 4.0 simulation software. Model validation was done based on measurements taken in the analyzed building.

  14. 75 FR 2122 - Additional Guidance Regarding Application of Current Procedures for Testing Energy Consumption of...

    Science.gov (United States)

    2010-01-14

    ... Energy Consumption of Refrigerator-Freezers With Automatic Ice Makers AGENCY: Office of the General...) to prescribe standardized test procedures to measure the energy consumption of certain consumer... Energy Consumption of Electric Refrigerators and Electric Refrigerator- Freezers (Appendix A1). DOE...

  15. Influence of Occupants’ Behaviour on the Energy Consumption of Domestic Buildings

    DEFF Research Database (Denmark)

    Brohus, Henrik; Heiselberg, Per; Simonsen, A.

    2010-01-01

    The present work undertakes a theoretical and empirical study of the influence of occupants’ behaviour on energy consumption of domestic buildings. The calculated energy consumption of a number of almost identical domestic buildings in Denmark is compared with the measured energy consumption cons...

  16. Development of German energy consumption: A deterministic study of energy-relevant customer groups

    International Nuclear Information System (INIS)

    Baumert, M.

    1994-01-01

    A detailed study of the characteristic features of group-specific energy consumption was conducted (identification of the factors determining energy consumption of the productive sector, private households and private mobility demand). The question of who shall determine energy consumption in the future is analysed. This question is answered in a demand-specific study of consumption patterns and -effects. (orig./UA) [de

  17. Michigan residential No. 2 fuel oil and propane price survey for the 1990/91 heating season

    International Nuclear Information System (INIS)

    1991-10-01

    This report summarizes the results of a survey of home heating oil and propane prices over the 1990/1991 heating season in Michigan. The survey was conducted under a cooperative agreement between the State of Michigan, Michigan Public Service Commission and the US Department of Energy (DOE), Energy Information Administration (EIA), and was funded by a grant from EIA. From October 1990 through May 1991, participating dealers/distributions were called and asked for their current residential retail prices of No. 2 home heating oil and propane. This information was then transmitted to the EIA, bi-monthly using an electronic reporting system called Petroleum Data Reporting Option (PEDRO). The survey was conducted using a sample provided by EIA of home heating oil and propane retailers which supply Michigan households. These retailers were contacted the first and third Mondays of each month. The sample was designed to account for distributors with different sales volumes, geographic distributions and sources of primary supply. It should be noted that this simple is different from the sample used in prior year surveys

  18. Air temperature and energy consumption feedbacks within urbanized areas

    Science.gov (United States)

    Ginzburg, A. S.; Demchenko, P. F.

    2017-09-01

    In the 21st century, the climate of expanding megacities and urbanized areas is increasingly forming and changing under the influence of the growing power consumption of the urban economy. To understand the urban climate dynamic and estimate the energy needs of cities in the 21st century, it is necessary to consider not only global and regional climatic factors, but also the presence of feedback between temperature and energy consumption in urbanized areas. This feedback can be both negative and positive, and their significance depends essentially on the climate and landform of the region, system of electricity and heat supply of a city, and some other factors. This article describes the main factors of formation and development of temperature and energy-consumption feedback within urbanized areas in cold and warm seasons when indoor heating or air conditioning is being used. The role of advection in strengthening and weakening of this feedback is studied. The estimates of the parameter and coefficient of feedback strengthening with the influence of anthropogenic heat fluxes and advection on the urban air temperature are presented.

  19. Future Trajectories of Renewable Energy Consumption in the European Union

    Directory of Open Access Journals (Sweden)

    Federica Cucchiella

    2018-02-01

    Full Text Available Renewable energy sources (RESs are able to reduce the European Union (EU’s dependence on foreign energy imports, also meeting sustainable objectives to tackle climate change and to enhance economic opportunities. Energy management requires a quantitative analysis and the European Commission follows the performance of each Member State (MS in order to define the corrective measures towards 2020 targets. Starting from historical data reported in the Eurostat database and through a mathematical model, this work proposes future trajectories towards 2020 of the share of energy from renewables (REs in terms of gross final energy consumption (GFEC. Furthermore, a quantitative analysis based on two indices—(i the share of REs in GFEC, and (ii gross final renewable energy consumption (GFREC per capita—permits a comparison among 28 MSs. The share of REs in GFEC in EU 28 varies from 19.4% to 21.8% in future trajectories towards 2020. Sweden and Finland occupy the top part of the ranking, while six MSs (Belgium, France, Ireland, Luxembourg, The Netherlands, and the United Kingdom are not able to reach the 2020 targets.

  20. A social capital approach to household energy consumption

    Energy Technology Data Exchange (ETDEWEB)

    McMichael, Megan [School of Construction Management and Engineering, The Univ. of Reading (United Kingdom)

    2007-07-01

    This paper examines the concept of social capital in relation to household energy consumption in an effort to further understand social influences on energy use in the United Kingdom. The considerable focus on building science and technology notwithstanding, it is widely recognised that social factors influence energy use at the household level. Much of the research on changing behaviour has focused on influencing individual actions. Whilst promoting changes in individual behaviour is important, social level analysis provides a broader framework for understanding householder energy use. Social capital broadly refers to the social resources available through networks, social norms and associated levels of trust and reciprocity. The literature of energy, in the form of environmental protection and consumption, is investigated here with regards to social capital to determine the utility of any theoretical and empirical relationship. It is argued that insights from the associations of social and energy consumption can assist energy efficiency practitioners and researchers in understanding the broader social framework that underpins household energy use, but that more robust empirical research is necessary.

  1. Estimating building energy consumption using extreme learning machine method

    International Nuclear Information System (INIS)

    Naji, Sareh; Keivani, Afram; Shamshirband, Shahaboddin; Alengaram, U. Johnson; Jumaat, Mohd Zamin; Mansor, Zulkefli; Lee, Malrey

    2016-01-01

    The current energy requirements of buildings comprise a large percentage of the total energy consumed around the world. The demand of energy, as well as the construction materials used in buildings, are becoming increasingly problematic for the earth's sustainable future, and thus have led to alarming concern. The energy efficiency of buildings can be improved, and in order to do so, their operational energy usage should be estimated early in the design phase, so that buildings are as sustainable as possible. An early energy estimate can greatly help architects and engineers create sustainable structures. This study proposes a novel method to estimate building energy consumption based on the ELM (Extreme Learning Machine) method. This method is applied to building material thicknesses and their thermal insulation capability (K-value). For this purpose up to 180 simulations are carried out for different material thicknesses and insulation properties, using the EnergyPlus software application. The estimation and prediction obtained by the ELM model are compared with GP (genetic programming) and ANNs (artificial neural network) models for accuracy. The simulation results indicate that an improvement in predictive accuracy is achievable with the ELM approach in comparison with GP and ANN. - Highlights: • Buildings consume huge amounts of energy for operation. • Envelope materials and insulation influence building energy consumption. • Extreme learning machine is used to estimate energy usage of a sample building. • The key effective factors in this study are insulation thickness and K-value.

  2. Energy Consumption of Lactating Mothers: Current Situation and Problems

    Directory of Open Access Journals (Sweden)

    Sandra Fikawati

    2014-08-01

    Full Text Available Recommendations on the adequacy of nutrient intake indicate that lactating mothers have higher nutritional needs than do pregnant mothers. High nutrient intake is necessary to help mothers recover after childbirth, produce milk, and maintain the quantity and quality of breast milk. It also prevents maternal malnutrition. Research has shown, however, that the dietary energy consumption of mothers during lactation was significantly lower than that during pregnancy. The current study explored the factors associated with decreased nutritional intake during maternal lactation. The study was conducted in March–April 2013, and the subjects were mothers with infants aged >6 months. Results revealed that the factors causing low dietary energy consumption among breastfeeding mothers were poor nutritional knowledge and attitude toward high energy intake requirements during lactation, lack of time to cook and eat because of infant care, reduced consumption of milk and supplements, dietary restrictions and prohibitions, and suboptimal advice from midwives/health personnel. Beginning from the antenatal care visit, health personnel should conduct effective counseling on the importance of nutrient intake during lactation. Advice should be provided not only to mothers, but also to their families to enable them to thoroughly support the mothers as they breastfeed their infants.

  3. Global Inequality in Energy Consumption from 1980 to 2010

    Directory of Open Access Journals (Sweden)

    Scott Lawrence

    2013-12-01

    Full Text Available We study the global probability distribution of energy consumption per capita around the world using data from the U.S. Energy Information Administration (EIA for 1980–2010. We find that the Lorenz curves have moved up during this time period, and the Gini coefficient, G, has decreased from 0.66 in 1980 to 0.55 in 2010, indicating a decrease in inequality. The global probability distribution of energy consumption per capita in 2010 is close to the exponential distribution withG = 0:5. We attribute this result to the globalization of the world economy, which mixes the world and brings it closer to the state of maximal entropy. We argue that global energy production is a limited resource that is partitioned among the world population. The most probable partition is the one that maximizes entropy, thus resulting in the exponential distribution function. A consequence of the latter is the law of 1/3: the top 1/3 of the world population consumes 2/3 of produced energy. We also find similar results for the global probability distribution of CO2 emissions per capita.

  4. Energy consumption during Refractance Window evaporation of selected berry juices

    Energy Technology Data Exchange (ETDEWEB)

    Nindo, C.I.; Tang, J. [Washington State University, Pullman, WA (United States). Dept. of Biological Systems Engineering; Powers, J.R. [Washington State University, Pullman, WA (United States). Dept. of Food Science and Human Nutrition; Bolland, K. [MCD Technologies, Tacoma, WA (United States)

    2004-07-01

    The Refractance Window evaporator represents a novel concept in the design of evaporation systems for small food processing plants. In this system thermal energy from circulating hot water is transmitted through a plastic sheet to evaporate water from a liquid product flowing concurrently on the top surface of the plastic. The objectives of this study were to investigate the heat transfer characteristics of this evaporator, determine its energy consumption, and capacity at different tilt angles and product flow rates. The system performance was evaluated with tap water, raspberry juice, and blueberry juice and puree as feed. With a direct steam injection heating method, the steam economy ranged from 0.64 to 0.84, while the overall heat transfer coefficient (U) was 666 W m{sup -2} {sup o}C{sup -1}. Under this condition, the highest evaporation capacity was 27.1 kg h{sup -1} m{sup -2} for blueberry juice and 31.8 kg h{sup -1} m{sup -2} for blueberry puree. The energy consumption was 2492-2719 kJ kg{sup -1} of water evaporated. Installation of a shell and tube heat exchanger with better temperature control minimized incidences of boiling and frequent discharge of condensate. The steam economy, highest evaporation rate and overall heat transfer coefficient increased to 0.99, 36.0 kg h{sup -1} m{sup -2} and 733 W m{sup -2} {sup o}C{sup -1}, respectively. [Author].

  5. Energy Consumption of Insulated Material Using Thermal Effect Analysis

    Directory of Open Access Journals (Sweden)

    Fadzil M. A.

    2017-01-01

    Full Text Available Wall is one of the structures elements that resist direct heat from the atmosphere. Modification on several structures is relevance to reduce filtrate thermal movement on wall. Insulation material seems to be suitable to be implemented since its purpose meets the heat resistance requirement. Insulation material applied as to generate positive impact in energy saving through reduction in total building energy consumption. Fiberglass is one of the insulation materials that can be used to insulate a space from heat and sound. Fiberglass is flammable insulation material with R Value rated of R-2.9 to R-3.8 which meets the requirement in minimizing heat transfer. Finite element software, ABAQUS v6.13 employed for analyze non insulated wall and other insulated wall with different wall thicknesses. The several calculations related to overall heat movement, total energy consumption per unit area of wall, life cycle cost analysis and determination of optimal insulation thickness is calculated due to show the potential of the implementation in minimize heat transfer and generate potential energy saving in building operation. It is hoped that the study can contribute to better understanding on the potential building wall retrofitting works in increasing building serviceability and creating potential benefits for building owner.

  6. The energy consumption of households - technical and social explanations of variations; Boligers energiforbrug - sociale og tekniske forklaringer pae forskelle

    Energy Technology Data Exchange (ETDEWEB)

    Gram-Hansen, K.

    2003-07-01

    It is well known that the amount of energy consumed in different households varies greatly with respect to both heat and electricity. Previous research has focused on either technical or social explanations for this and the social explanations have focused on the big variations between social groups. In contrast to this, the aim of this project has been to explain differences in energy consumption between quite similar households and to seek social and technical explanations. Seven high-dense, low-rise neighbourhoods in the municipality of Albertslund have been investigated. The eco-account of the municipality shows large variations in the level of energy consumption both between households in the same neighbourhood and between the neighbourhoods. Noticeably larger heat consumption was found in neighbourhoods with rented apartments rather than with owner-occupied apartments. On this background the aim of this project has been: To explore technical and social explanations for large variations in energy consumption in similar neighbourhoods; To investigate connections between technical and social explanations; To point to relevant strategies concerning behaviour and lifestyle to reduce energy consumption. To answer these questions several investigations were carried out in the seven neighbourhoods including computer calculations of the buildings' heat loss, a survey among 500 residents, qualitative interviews with ten families and detailed measures of the indoor climate in thirty households. Based on the results the following strategies to reduce energy consumption are formulated: Emphasising positive aspect of a modest life to promote families with a saving attitude to stick to this in spite of societal pressure for increased consumption; Continuing information strategies towards a more environmentally sound behaviour, bur with greater emphasis on reducing consumption than on the attitude towards environment; Concerning new information technologies, technology

  7. 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.

  8. 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.

  9. Developing a theoretical model and questionnaire survey instrument to measure the success of electronic health records in residential aged care

    Science.gov (United States)

    Yu, Ping; Qian, Siyu

    2018-01-01

    Electronic health records (EHR) are introduced into healthcare organizations worldwide to improve patient safety, healthcare quality and efficiency. A rigorous evaluation of this technology is important to reduce potential negative effects on patient and staff, to provide decision makers with accurate information for system improvement and to ensure return on investment. Therefore, this study develops a theoretical model and questionnaire survey instrument to assess the success of organizational EHR in routine use from the viewpoint of nursing staff in residential aged care homes. The proposed research model incorporates six variables in the reformulated DeLone and McLean information systems success model: system quality, information quality, service quality, use, user satisfaction and net benefits. Two variables training and self-efficacy were also incorporated into the model. A questionnaire survey instrument was designed to measure the eight variables in the model. After a pilot test, the measurement scale was used to collect data from 243 nursing staff members in 10 residential aged care homes belonging to three management groups in Australia. Partial least squares path modeling was conducted to validate the model. The validated EHR systems success model predicts the impact of the four antecedent variables—training, self-efficacy, system quality and information quality—on the net benefits, the indicator of EHR systems success, through the intermittent variables use and user satisfaction. A 24-item measurement scale was developed to quantitatively evaluate the performance of an EHR system. The parsimonious EHR systems success model and the measurement scale can be used to benchmark EHR systems success across organizations and units and over time. PMID:29315323

  10. Developing a theoretical model and questionnaire survey instrument to measure the success of electronic health records in residential aged care.

    Science.gov (United States)

    Yu, Ping; Qian, Siyu

    2018-01-01

    Electronic health records (EHR) are introduced into healthcare organizations worldwide to improve patient safety, healthcare quality and efficiency. A rigorous evaluation of this technology is important to reduce potential negative effects on patient and staff, to provide decision makers with accurate information for system improvement and to ensure return on investment. Therefore, this study develops a theoretical model and questionnaire survey instrument to assess the success of organizational EHR in routine use from the viewpoint of nursing staff in residential aged care homes. The proposed research model incorporates six variables in the reformulated DeLone and McLean information systems success model: system quality, information quality, service quality, use, user satisfaction and net benefits. Two variables training and self-efficacy were also incorporated into the model. A questionnaire survey instrument was designed to measure the eight variables in the model. After a pilot test, the measurement scale was used to collect data from 243 nursing staff members in 10 residential aged care homes belonging to three management groups in Australia. Partial least squares path modeling was conducted to validate the model. The validated EHR systems success model predicts the impact of the four antecedent variables-training, self-efficacy, system quality and information quality-on the net benefits, the indicator of EHR systems success, through the intermittent variables use and user satisfaction. A 24-item measurement scale was developed to quantitatively evaluate the performance of an EHR system. The parsimonious EHR systems success model and the measurement scale can be used to benchmark EHR systems success across organizations and units and over time.

  11. Attitudes on climate change and energy consumption behavior among Iranian and German youth

    Energy Technology Data Exchange (ETDEWEB)

    Schroeder, Sabine; Schmithals, Jenny; Ulbrich, Hannah

    2013-10-01

    Attempts to change people's lifestyles in order to adapt to and mitigate the consequences of climate change are not reasonable without considering the question whether climate change matters to people or not and which aspects of the topic are crucial to them and why. The study is based on two quantitative surveys among 188 Iranian students from three different high schools in Tehran and 188 German students from two educational institutions in Berlin and Bonn conducted in 2009 and 2010. The aim of the surveys was to find out about the attitudes on environmental protection and awareness and knowledge on climate change and its consequences among students and to analyse existing consumption behaviour regarding mobility and energy consumption and energy saving within their families. The study analyses and compares the results from German and Iranian students.

  12. Comparison of energy consumption and specific energy requirements of different methods for drying mushroom slices

    International Nuclear Information System (INIS)

    Motevali, Ali; Minaei, Saeid; Khoshtaghaza, Mohammad Hadi; Amirnejat, Hamed

    2011-01-01

    Energy consumption for drying of mushroom slices was evaluated using various drying methods including hot air, microwave, vacuum, infrared, microwave-vacuum and hot air-infrared. Results of data analysis showed that the lowest and highest energy consumption levels in drying mushroom slices were associated with microwave and vacuum dryers, respectively. The use of vacuum in conjunction with microwave drying increased energy consumption relative to microwave drying alone. Energy consumption in the hot air dryer showed a downward trend with increasing temperature and an upward trend with increasing air velocity. In drying mushroom using infrared radiation, it was observed that increased air velocity increases drying time and consequently the amount of consumed energy. Using a combination of hot air and infrared drying decreased energy consumption relative to infrared drying alone and increased it relative to hot air drying. In the combined microwave-vacuum dryer, drying time and consequently energy consumption decreased in comparison to the vacuum dryer. Hot air-infrared drying of mushroom slices proved to have the lowest energy consumption. -- Highlights: ► In this study we comparing the amount of energy used and specific energy consumption in different drying methods. ► Six drying methods including Hot air, Infrared, Hot air-infrared, Microwave, Vacuum and microwave-vacuum were used. ► The maximum and minimum energy consumption was obtained in vacuum and microwave dryer, respectively. ► The best drying method in terms of energy consumption and specific energy consumption is the microwave dryer.

  13. Occupant behavior and energy consumption in dwellings : An analysis of behavioral models and actual energy consumption in the dutch housing stock

    NARCIS (Netherlands)

    Bedir, M.

    2017-01-01

    Much is known about the increasing levels of energy consumption and environmental decay caused by the built environment. Also, more and more attention is shown to the energy consumption of dwellings, from the early design stage until the occupants start living in them. The increasing complexity of

  14. End-use energy consumption estimates for US commercial buildings, 1989

    Energy Technology Data Exchange (ETDEWEB)

    Belzer, D.B.; Wrench, L.E.; Marsh, T.L. [Pacific Northwest Lab., Richland, WA (United States)

    1993-11-01

    An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs within the Department of Energy, by utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1989 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Billing data for electricity and natural gas were first decomposed into weather and nonweather dependent loads. Subsequently, Statistical Adjusted Engineering (SAE) models were estimated by building type with annual data. The SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption. End-use consumption by fuel was estimated for each of the 5,876 buildings in the 1989 CBECS. The report displays the summary results for eleven separate building types as well as for the total US commercial building stock.

  15. End-use energy consumption estimates for U.S. commercial buildings, 1992

    Energy Technology Data Exchange (ETDEWEB)

    Belzer, D.B.; Wrench, L.E.

    1997-03-01

    An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs of the US Department of Energy, utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1992 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Statistical Adjusted Engineering (SAE) models were estimated by building type. The nonlinear SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption (based upon utility billing information). End-use consumption by fuel was estimated for each of the 6,751 buildings in the 1992 CBECS. The report displays the summary results for 11 separate building types as well as for the total US commercial building stock. 4 figs., 15 tabs.

  16. Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach

    Energy Technology Data Exchange (ETDEWEB)

    Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.

    2015-01-01

    This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the Eastern Interconnection (EIC) located in the United States. The climate change scenario considered (IPCC A2 scenario as downscaled from the CASCaDE data set) has changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. This investigation examines building energy demand for three annual periods representative of climate trends in the CASCaDE data set at the beginning, middle, and end of the century--2004, 2052, and 2089. Simulations were performed using the Building ENergy Demand (BEND) model which is a detailed simulation platform built around EnergyPlus. BEND was developed in collaboration with the Platform for Regional Integrated Modeling and Analysis (PRIMA), a modeling framework designed to simulate the complex interactions among climate, energy, water, and land at decision-relevant spatial scales. Over 26,000 building configurations of different types, sizes, vintages, and, characteristics which represent the population of buildings within the EIC, are modeled across the 3 EIC time zones using the future climate from 100 locations within the target region, resulting in nearly 180,000 spatially relevant simulated demand profiles for each of the 3 years. In this study, the building stock characteristics are held constant based on the 2005 building stock in order to isolate and present results that highlight the impact of the climate signal on commercial and residential energy demand. Results of this analysis compare well with other analyses at their finest level of specificity. This approach, however, provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to

  17. Baseline projections of transportation energy consumption by mode: 1981 update

    Energy Technology Data Exchange (ETDEWEB)

    Millar, M; Bunch, J; Vyas, A; Kaplan, M; Knorr, R; Mendiratta, V; Saricks, C

    1982-04-01

    A comprehensive set of activity and energy-demand projections for each of the major transportation modes and submodes is presented. Projections are developed for a business-as-usual scenario, which provides a benchmark for assessing the effects of potential conservation strategies. This baseline scenario assumes a continuation of present trends, including fuel-efficiency improvements likely to result from current efforts of vehicle manufacturers. Because of anticipated changes in fuel efficiency, fuel price, modal shifts, and a lower-than-historic rate of economic growth, projected growth rates in transportation activity and energy consumption depart from historic patterns. The text discusses the factors responsible for this departure, documents the assumptions and methodologies used to develop the modal projections, and compares the projections with other efforts.

  18. Analysis on energy consumption index system of thermal power plant

    Science.gov (United States)

    Qian, J. B.; Zhang, N.; Li, H. F.

    2017-05-01

    Currently, the increasingly tense situation in the context of resources, energy conservation is a realistic choice to ease the energy constraint contradictions, reduce energy consumption thermal power plants has become an inevitable development direction. And combined with computer network technology to build thermal power “small index” to monitor and optimize the management system, the power plant is the application of information technology and to meet the power requirements of the product market competition. This paper, first described the research status of thermal power saving theory, then attempted to establish the small index system and build “small index” monitoring and optimization management system in thermal power plant. Finally elaborated key issues in the field of small thermal power plant technical and economic indicators to be further studied and resolved.

  19. Forecast errors in IEA-countries' energy consumption

    DEFF Research Database (Denmark)

    Linderoth, Hans

    2002-01-01

    Every year Policy of IEA Countries includes a forecast of the energy consumption in the member countries. Forecasts concerning the years 1985,1990 and 1995 can now be compared to actual values. The second oil crisis resulted in big positive forecast errors. The oil price drop in 1986 did not have...... a similar opposite effect. A correction for economic growth reduces forecast errors during the second oil crisis but not elsewhere. Industry has a relatively big positive error while transportation has a negative forecast error. Even when the forecast error is small, the results are not so "nice" because...... the small value is often the sum of large positive and negative errors. Almost no significant correlation is found between forecast errors in the 3 years. Correspondingly, no significant correlation coefficient is found between forecasts errors in the 3 main energy sectors. Therefore, a relatively small...

  20. Building environment assessment and energy consumption estimation using smart phones

    Science.gov (United States)

    Li, Xiangli; Zhang, Li; Jia, Yingqi; Wang, Zihan; Jin, Xin; Zhao, Xuefeng

    2017-04-01

    In this paper, an APP for building indoor environment evaluation and energy consumption estimation based on Android platform is proposed and established. While using the APP, the smart phone built-in sensors are called for real-time monitoring of the building environmental information such as temperature, humidity and noise, etc. the built-in algorithm is developed to calculate the heat and power consumption, and questionnaires, grading and other methods are used to feed back to the space heating system. In addition, with the application of the technology of big data and cloud technology, the data collected by users will be uploaded to the cloud. After the statistics of the uploaded data, regional difference can be obtained, thus providing a more accurate basis for macro-control and research of energy, thermal comfort, greenhouse effect.

  1. Biomass energy consumption in Nigeria: integrating demand and supply

    International Nuclear Information System (INIS)

    Momoh, S.; Soaga, J.

    1999-01-01

    The study examined the present and future consumption of biomass energy in Nigeria. Direct consumption of fire wood for domestic purposes is the predominant form of biomass energy consumption. Charcoal plays minot roles in biomass energy supply. The current and expected demand for fuelwood is projected to increase by 399% whereas supply is expected to decrease by 17.2% between 1995 and year 2010. Resource adequacy in terms of planned supply is on the decline. Forest estates which is the only planned strategy for fuelwood and wood production is projected to decline from 6.37 million ha. in 1990 to 2.4 million ha, in year 2010. The possibilities of meeting the fuelwood demand in the future is precarious. Policy measures aimed at increasing forest estates. reduction of loss of forest lands to other uses and encouragement of private forestry are recommended

  2. Green smartphone GPUs: Optimizing energy consumption using GPUFreq scaling governors

    KAUST Repository

    Ahmad, Enas M.

    2015-10-19

    Modern smartphones are limited by their short battery life. The advancement of the graphical performance is considered as one of the main reasons behind the massive battery drainage in smartphones. In this paper we present a novel implementation of the GPUFreq Scaling Governors, a Dynamic Voltage and Frequency Scaling (DVFS) model implemented in the Android Linux kernel for dynamically scaling smartphone Graphical Processing Units (GPUs). The GPUFreq governors offer users multiple variations and alternatives in controlling the power consumption and performance of their GPUs. We implemented and evaluated our model on a smartphone GPU and measured the energy performance using an external power monitor. The results show that the energy consumption of smartphone GPUs can be significantly reduced with a minor effect on the GPU performance.

  3. Ten years of energy consumption in the tertiary sector

    International Nuclear Information System (INIS)

    Rabai, Yacine

    2012-11-01

    This document presents and comments data regarding electricity consumption by the tertiary sector over the last ten years in France. It notably outlines its strong increase compared to the other sectors (housing, industry, transport, agriculture). It comments the evolution of the energy mix of the tertiary sector (electricity with 47%, gas with 25% and oil with 19% are prevailing). It briefly comments the evolution of energy efficiency within this sector. It indicates and comments the shares of energy consumption, of high voltage electricity and gas consumption by the different sub-sectors (retail, automobile and motorcycle repair, public administration, health and social activity, real estate, specialised, scientific and technical activities, education, and so on)

  4. Measuring and evaluating energy consumption in street lighting networks

    International Nuclear Information System (INIS)

    Janiga, P.; Gasparovsky, D.

    2012-01-01

    Smart metering and smart grid are incoming technologies that provide new opportunities in various fields. In connection with the issue of evaluation of the energy aspects of public lighting networks opens up the possibility of evaluating and measuring consumption. Based on the obtained values would be possible to determine energy consumption of lighting systems. This obtained value could serve as a basis for comparing the relevant networks and thus the optimality assessment of lighting designs. Currently, the measure placed in the switchboard of public lighting. If we have considered sections parametramim same lighting, it is necessary to obtain more value from the measured or determined to assess the consumption of time. Proposal of such methods is still under construction but the basic methods have already been outlined. (Authors)

  5. 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.

  6. 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.

  7. Decomposition analysis and mitigation strategies of CO2 emissions from energy consumption in South Korea

    International Nuclear Information System (INIS)

    Oh, Ilyoung; Wehrmeyer, Walter; Mulugetta, Yacob

    2010-01-01

    Energy-related CO 2 emissions in South Korea have increased substantially, outpacing those of Organisation for Economic Co-operation and Development (OECD) countries since 1990. To mitigate CO 2 emissions in South Korea, we need to understand the main contributing factors to rising CO 2 levels as part of the effort toward developing targeted policies. This paper aims to analyze the specific trends and influencing factors that have caused changes in emissions patterns in South Korea over a 15-year period. To this end, we employed the Log Mean Divisia index method with five energy consumption sectors and seven sub-sectors in terms of fuel mix (FM), energy intensity (EI), structural change (SC) and economic growth (EG). The results showed that EG was a dominant explanation for the increase in CO 2 emissions in all of the sectors. The results also demonstrated that FM causes CO 2 reduction across the array of sectors with the exception of the energy supply sector. CO 2 reduction as a function of SC was also observed in manufacturing, services and residential sectors. Furthermore, EI was an important driver of CO 2 reduction in most sectors except for several manufacturing sub-sectors. Based on these findings, it appears that South Korea should implement climate change policies that consider the specific influential factors associated with increasing CO 2 emissions in each sector.

  8. 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

  9. Contextualising Water Use in Residential Settings: A Survey of Non-Intrusive Techniques and Approaches

    Directory of Open Access Journals (Sweden)

    Davide Carboni

    2016-05-01

    Full Text Available Water monitoring in households is important to ensure the sustainability of fresh water reserves on our planet. It provides stakeholders with the statistics required to formulate optimal strategies in residential water management. However, this should not be prohibitive and appliance-level water monitoring cannot practically be achieved by deploying sensors on every faucet or water-consuming device of interest due to the higher hardware costs and complexity, not to mention the risk of accidental leakages that can derive from the extra plumbing needed. Machine learning and data mining techniques are promising techniques to analyse monitored data to obtain non-intrusive water usage disaggregation. This is because they can discern water usage from the aggregated data acquired from a single point of observation. This paper provides an overview of water usage disaggregation systems and related techniques adopted for water event classification. The state-of-the art of algorithms and testbeds used for fixture recognition are reviewed and a discussion on the prominent challenges and future research are also included.

  10. LMDI Decomposition Analysis of Energy Consumption in the Korean Manufacturing Sector

    Directory of Open Access Journals (Sweden)

    Suyi Kim

    2017-02-01

    Full Text Available The energy consumption of Korea’s manufacturing sector has sharply increased over the past 20 years. This paper decomposes the factors influencing energy consumption in this sector using the logarithmic mean Divisia index (LMDI method and analyzes the specific characteristics of energy consumption from 1991 to 2011. The analysis reveals that the activity effect played a major role in increasing energy consumption. While the structure and intensity effects contributed to the reduction in energy consumption, the structure effect was greater than the intensity effect. Over the periods, the effects moved in opposite directions; that is, the structure effect decreased when the intensity effect increased and vice versa. The energy consumption by each industry is decomposed into two factors, activity and intensity effects. The increase of energy consumption due to the activity effect is largest in the petroleum and chemical industry, followed by the primary metal and non-ferrous industry, and the fabricated metal industry. The decrease of energy consumption due to the intensity effect is largest in the fabricated metal industry, followed by the primary metal and non-ferrous industry, and the non-metallic industry. The energy consumption due to intensity effect in the petroleum and chemical industry has risen. To save energy consumption more efficiently for addressing climate change in this sector, industrial restructuring and industry-specific energy saving policies should be introduced.

  11. Forecasting energy consumption using a grey model improved by incorporating genetic programming

    International Nuclear Information System (INIS)

    Lee, Yi-Shian; Tong, Lee-Ing

    2011-01-01

    Energy consumption is an important economic index, which reflects the industrial development of a city or a country. Forecasting energy consumption by conventional statistical methods usually requires the making of assumptions such as the normal distribution of energy consumption data or on a large sample size. However, the data collected on energy consumption are often very few or non-normal. Since a grey forecasting model, based on grey theory, can be constructed for at least four data points or ambiguity data, it can be adopted to forecast energy consumption. In some cases, however, a grey forecasting model may yield large forecasting errors. To minimize such errors, this study develops an improved grey forecasting model, which combines residual modification with genetic programming sign estimation. Finally, a real case of Chinese energy consumption is considered to demonstrate the effectiveness of the proposed forecasting model.

  12. Reduced energy consumption by using streamlined gating systems

    Directory of Open Access Journals (Sweden)

    Niels Skat Tiedje

    2008-11-01

    Full Text Available In foundries a lot of effort is done to minimize energy consumption in the production to reduce costs and hence increase the competitiveness. At the same time the foundries must live up to the increased demands for high quality castings.Traditional gating systems are known for a straight tapered down runner, a well base and 90?bends in the runner system. Previous work has shown that the traditional way of designing gating systems creates high inconsistency in fl ow patterns during fi lling. In the streamlined gating systems there are no sharp changes in direction and a large effort is done to confi ne and control the fl ow of the molten metal during mould fi lling.The main objective in the work presented here is to use the principles of the streamlined gating systems to reduce the weight of the gating system relative to the traditional layouts. By reducing the weight of gating system and thereby improving yield, the amount of molten iron needed is also reduced, hence reducing the energy consumption for melting.Experiments in real production lines have proven that it is possible to achieve a reduction in the poured weight by using the streamlined gating systems. In a layout for casting of three valve housings in a vertically parted mould the weight of the gating system was reduced by 1.1 kg changing from the traditional layouts to the streamlined gating systems. This weight reduction corresponds in this case to a 20% weight reduction for the gating system.Using streamlined gating systems with fan gates to give a benefi cial heat distribution in the castings may be an effi cient tool to eliminate the need for heat treatment. In the experiments the change in gating system from the traditional layout to the streamlined layout removed the need for heat treatment. This obviously means a huge energy saving in the foundry. The energy consumption for heat treatment of iron has been found to be 0.489 kWh/kg. The valve housing in the experiments weighs 3

  13. Financial development and energy consumption nexus in Malaysia: A multivariate time series analysis

    OpenAIRE

    Islam, Faridul; Shahbaz, Muhammad; Alam, Mahmudul

    2011-01-01

    Despite a bourgeoning literature on the existence of a long-run relationship between energy consumption and economic growth, the findings have failed to establish clearly the direction of causation. A growing economy needs more energy, which is exacerbated by growing population. Evidence suggests that financial development can reduce overall energy consumption by achieving energy efficiency. Economic growth and energy consumption in Malaysia have been rising in tandem over the past several ye...

  14. Based on the Hardware Resources Configurable Shanke PLC Building Energy Consumption Detection System

    Directory of Open Access Journals (Sweden)

    Cheng Guanghe

    2017-01-01

    Full Text Available According to the actual situation of the comprehensive office building and the functional requirements of the building energy consumption monitoring and management system, the office building energy consumption monitoring and management system is designed by using the hardware resource configurable Shanke PLC(SKPLC as the data collector. The system uses data bus technology and field data acquisition technology to achieve the building energy consumption data acquisition and management. Practice has proved that energy-saving effect is good.

  15. Energy Consumption During Lactation and Duration of Breastfeeding at Puskesmas Margajaya Bekasi City in 2014

    OpenAIRE

    Ahmad Syafiq; Sandra Fikawati; Retno Widiastuti

    2015-01-01

    Despite recommendation for higher energy intake during lactation than during pregnancy, researches at Jakarta and Depok showed that energy consumption during lactation was lower than during pregnancy. The purpose of this study is to investigate the association between individual characteristics and energy consumption during lactation, and to assess the relationship between energy consumption during lactation to duration of breastfeeding among 60 mothers in the working area of PuskesmasMargaja...

  16. A Low Energy Consumption Storage Method for Cloud Video Surveillance Data Based on SLA Classification

    OpenAIRE

    Yonghua Xiong; Chengda Lu; Min Wu; Keyuan Jiang; Dianhong Wang

    2016-01-01

    With the continuous expansion of the amount of data with time in mobile video applications such as cloud video surveillance (CVS), the increasing energy consumption in video data centers has drawn widespread attention for the past several years. Addressing the issue of reducing energy consumption, we propose a low energy consumption storage method specially designed for CVS systems based onthe service level agreement (SLA) classification. A novel SLA with an extra parameter of access time per...

  17. The Relationship between Aggregated–Disaggregated Energy Consumption and Economic Growth in Turkey

    OpenAIRE

    Uğur Korkut Pata; Harun Terzi

    2016-01-01

    Energy is recognized as an important factor in the production process by capital and labor. Energy consumption has increased substantially in the world, especially since the Industrial Revolution and the 1973 oil crisis. In this study, the causality relationship between energy consumption (petroleum, electricity, per capita and total primary energy consumption, carbon dioxide emissions) and economic growth is estimated by using the JJ cointegration test, DLVAR, generalized impulse-response, a...

  18. Residential Cooking Behavior in the United States: Data Collected from a Web-Based Survey

    Energy Technology Data Exchange (ETDEWEB)

    Huang, Y. W; Andrew, E. E; Hu, T. C; Singer, B. C; Ding, L.; Logue, J. M

    2014-08-01

    Cooking has a significant impact on indoor air quality. When cooking occurs, how foods are cooked, and the types of food that are cooked have all been shown to impact the rate at which occupants are exposed to pollutants. Home occupancy characteristics impact how concentrations in the home translate into exposures for the occupants. With the intent of expanding our understanding of cooking behavior in the U.S., we developed and advertised an online survey to collect household cooking behavior for the 24 hrs prior to taking the survey. The survey questions were designed to address gaps in knowledge needed to predict the impact of cooking on indoor concentrations of PM2.5 and other pollutants. The survey included the following questions: 1) which meals households ate at home; 2) number of household members at home during cooking; 3) the type of oil used for cooking; 4) the type of foods cooked at each meal; 5) the type of cooking devices used; and 6) the methods selected for food preparation. We also collected information on household characteristics such as their location (zip code), ethnicity, and ages of family members. We analyzed the variability in home cooking characteristics for households in different climate zones and with four different types of family compositions: 1 senior living alone, 1 adult living alone, 2 or more adults/seniors, and families with children. We used simple statistical tests to determine if the probability of certain cooking behaviors differed between these subgroups.

  19. Reducing cooling energy consumption in data centres and critical facilities

    Science.gov (United States)

    Cross, Gareth

    Given the rise of our everyday reliance on computers in all walks of life, from checking the train times to paying our credit card bills online, the need for computational power is ever increasing. Other than the ever-increasing performance of home Personal Computers (PC's) this reliance has given rise to a new phenomenon in the last 10 years ago. The data centre. Data centres contain vast arrays of IT cabinets loaded with servers that perform millions of computational equations every second. It is these data centres that allow us to continue with our reliance on the internet and the PC. As more and more data centres become necessary due to the increase in computing processing power required for the everyday activities we all take for granted so the energy consumed by these data centres rises. Not only are more and more data centres being constructed daily, but operators are also looking at ways to squeeze more processing from their existing data centres. This in turn leads to greater heat outputs and therefore requires more cooling. Cooling data centres requires a sizeable energy input, indeed to many megawatts per data centre site. Given the large amounts of money dependant on the successful operation of data centres, in particular for data centres operated by financial institutions, the onus is predominantly on ensuring the data centres operate with no technical glitches rather than in an energy conscious fashion. This report aims to investigate the ways and means of reducing energy consumption within data centres without compromising the technology the data centres are designed to house. As well as discussing the individual merits of the technologies and their implementation technical calculations will be undertaken where necessary to determine the levels of energy saving, if any, from each proposal. To enable comparison between each proposal any design calculations within this report will be undertaken against a notional data facility. This data facility will

  20. Use of residential wood heating in a context of climate change: a population survey in Québec (Canada

    Directory of Open Access Journals (Sweden)

    Valois Pierre

    2008-05-01

    Full Text Available Abstract Background Wood heating is recommended in several countries as a climate change (CC adaptation measure, mainly to increase the autonomy of households during power outages due to extreme climatic events. The aim of this study was to examine various perceptions and individual characteristics associated with wood heating through a survey about CC adaptations. Methods A telephone survey (n = 2,545 of adults living in the southern part of the province of Québec (Canada was conducted in the early fall season of 2005. The questionnaire used closed questions and measured the respondents' beliefs and current adaptations about CC. Calibration weighting was used to adjust the data analysis for the respondent's age and language under stratified sampling based on health regions. Results More than three out of four respondents had access to a single source of energy at home, which was mainly electricity; 22.2% combined two sources or more; 18.5% heated with wood occasionally or daily during the winter. The prevalence of wood heating was higher in the peripheral regions than in the more urban regions, where there was a higher proportion of respondents living in apartments. The prevalence was also higher with participants completely disagreeing (38.5% with the eventual prohibition of wood heating when there is smog in winter, compared to respondents somewhat disagreeing (24.2% or agreeing (somewhat: 17.5%; completely: 10.4% with the adoption of this strategy. It appears that the perception of living in a region susceptible to winter smog, smog warnings in the media, or the belief in the human contribution to CC, did not influence significantly wood heating practices. Conclusion Increased residential wood heating could very well become a maladaptation to climate change, given its known consequences on winter smog and respiratory health. It would thus be appropriate to implement a long-term national program on improved and controlled residential wood

  1. Tables of energy consumption in France - 1999 edition

    International Nuclear Information System (INIS)

    1999-01-01

    This document reports on in a detailed way some important data concerning the evolution of energy in France during the last 20 years. Details are given for each type of energy, for the overall economical sectors and for each of them (industry, residential-tertiary, transport, agriculture). It highlights the share of the different energy sources in the supply of the energy needs of the French market, the importance of the equipment parks and the energy savings realized. (J.S.)

  2. Effect of length of measurement period on accuracy of predicted annual heating energy consumption of buildings

    International Nuclear Information System (INIS)

    Cho, Sung-Hwan; Kim, Won-Tae; Tae, Choon-Soeb; Zaheeruddin, M.

    2004-01-01

    This study examined the temperature dependent regression models of energy consumption as a function of the length of the measurement period. The methodology applied was to construct linear regression models of daily energy consumption from 1 day to 3 months data sets and compare the annual heating energy consumption predicted by these models with actual annual heating energy consumption. A commercial building in Daejon was selected, and the energy consumption was measured over a heating season. The results from the investigation show that the predicted energy consumption based on 1 day of measurements to build the regression model could lead to errors of 100% or more. The prediction error decreased to 30% when 1 week of data was used to build the regression model. Likewise, the regression model based on 3 months of measured data predicted the annual energy consumption within 6% of the measured energy consumption. These analyses show that the length of the measurement period has a significant impact on the accuracy of the predicted annual energy consumption of buildings

  3. Energy consumption, political regime and economic growth in sub-Saharan Africa

    International Nuclear Information System (INIS)

    Adams, Samuel; Klobodu, Edem Kwame Mensah; Opoku, Eric Evans Osei

    2016-01-01

    In this paper, we examine the relationship between energy consumption and economic growth, and how democracy moderates this relationship using panel data of 16 sub-Saharan African (SSA) countries for the period 1971–2013. Employing a panel vector autoregressive model (PVAR) in a generalized method of moments (GMM) framework, the findings support the feedback hypothesis for energy consumption and growth. Second, the interaction variable (energy consumption and democracy) is positively and significantly related to economic growth, supporting the view that democracy moderates the energy consumption and growth nexus. Further, the results provide strong evidence of a uni-directional relationship from trade openness to energy consumption. Additionally, impulse responses and variance decompositions also confirm positive feedback relationships between energy consumption and economic growth, energy prices and economic growth. - Highlights: •Feedback exists between energy consumption and economic growth. •Democracy moderates the energy consumption and growth nexus. •positive feedback between energy prices and economic growth. •Uni-directional relationship from openness to energy consumption.

  4. New Building Principles In Consequence Of Legislative Demands For Reduced Energy Consumption In Danish Housing

    DEFF Research Database (Denmark)

    Jessen, Rasmus Zederkof; Brohus, Henrik; Kirkegaard, Poul Henning

    2006-01-01

    demands regarding energy consumption. More often than not sustainable aspects like the need for reduced energy consumption are implemented late in the design process. This paper investigates the affect of incorporating aspects like solar heat gain and energy consumption in the initial concept......The increasing restrictions in coming building codes regarding energy consumption in housing generate a need to rethink the building design as well as the building process. This paper discusses the need to change/challenge the way structures are conceived in order to accommodate new legislative...

  5. Prediction of Industrial Electric Energy Consumption in Anhui Province Based on GA-BP Neural Network

    Science.gov (United States)

    Zhang, Jiajing; Yin, Guodong; Ni, Youcong; Chen, Jinlan

    2018-01-01

    In order to improve the prediction accuracy of industrial electrical energy consumption, a prediction model of industrial electrical energy consumption was proposed based on genetic algorithm and neural network. The model use genetic algorithm to optimize the weights and thresholds of BP neural network, and the model is used to predict the energy consumption of industrial power in Anhui Province, to improve the prediction accuracy of industrial electric energy consumption in Anhui province. By comparing experiment of GA-BP prediction model and BP neural network model, the GA-BP model is more accurate with smaller number of neurons in the hidden layer.

  6. 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.

  7. Sustainable energy consumption and production - a global view

    Energy Technology Data Exchange (ETDEWEB)

    Hernes, H.

    1995-12-31

    The paper gives a global view of sustainable energy consumption and production both in developed and developing countries. There is a need of replacing fossil fuel sources with renewable energy at a speed parallel to the depletion of the oil and gas sources. According to the author, the actual growth in developing countries` use of oil, coal and other sources of energy has almost tripled since 1970. Future population growth alone will spur a further 70% jump in energy use in 30 years, even if per capita consumption remains at current levels. For the OECD countries, energy use rose one fifth as much as economic growth between 1973 and 1989. Countries like China and India, and other developing countries, have huge coal reserves and energy needs. Policy makers have to integrate environmental concerns in decision making over the choice between different fuels, energy technologies and stricter environmental standards. Life cycle analyses can contribute to the development of overall indicators of environmental performance of different technologies. According to the IPCC (Intergovernmental Panel on Climate Change), anthropogenic CO{sub 2} emissions must be reduced by more than 60% in order to stabilize the CO{sub 2} concentration in the atmosphere. 8 refs.

  8. The causality between energy consumption and economic growth in Turkey

    International Nuclear Information System (INIS)

    Erdal, Guelistan; Erdal, Hilmi; Esenguen, Kemal

    2008-01-01

    This paper applies the causality test to examine the causal relationship between primary energy consumption (EC) and real Gross National Product (GNP) for Turkey during 1970-2006. We employ unit root tests, the augmented Dickey-Fuller (ADF) and the Philips-Perron (PP), Johansen cointegration test, and Pair-wise Granger causality test to examine relation between EC and GNP. Our empirical results indicate that the two series are found to be non-stationary. However, first differences of these series lead to stationarity. Further, the results indicate that EC and GNP are cointegrated and there is bidirectional causality running from EC to GNP and vice versa. This means that an increase in EC directly affects economic growth and that economic growth also stimulates further EC. This bidirectional causality relationship between EC and GNP determined for Turkey at 1970-2006 period is in accordance with the ones in literature reported for similar countries. Consequently, we conclude that energy is a limiting factor to economic growth in Turkey and, hence, shocks to energy supply will have a negative impact on economic growth

  9. End use energy consumption data base: transportation sector

    Energy Technology Data Exchange (ETDEWEB)

    Hooker, J.N.; Rose, A.B.; Greene, D.L.

    1980-02-01

    The transportation fuel and energy use estimates developed a Oak Ridge National Laboratory (ORNL) for the End Use Energy Consumption Data Base are documented. The total data base contains estimates of energy use in the United States broken down into many categories within all sectors of the economy: agriculture, mining, construction, manufacturing, commerce, the household, electric utilities, and transportation. The transportation data provided by ORNL generally cover each of the 10 years from 1967 through 1976 (occasionally 1977 and 1978), with omissions in some models. The estimtes are broken down by mode of transport, fuel, region and State, sector of the economy providing transportation, and by the use to which it is put, and, in the case of automobile and bus travel, by the income of the traveler. Fuel types include natural gas, motor and aviation gasoline, residual and diesel oil, liuqefied propane, liquefied butane, and naphtha- and kerosene-type jet engine fuels. Electricity use is also estimated. The mode, fuel, sector, and use categories themselves subsume one, two, or three levels of subcategories, resulting in a very detailed categorization and definitive accounting.

  10. DOE2.1D. Building Energy Consumption Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Buhl, W.F. [Lawrence Berkeley National Lab., CA (United States)

    1981-05-01

    DOE2 is a set of programs for the analysis of energy consumption in buildings. Programs are included to calculate the heating and cooling loads for each space (zone) in the building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating and cooling to the space (SYSTEMS), to model primary energy conversion equipment that uses fuel (e.g. oil, gas, or sun) to provide the required heating, cooling, and electricity (PLANT), and to compute the life-cycle cost for building operation based on economic parameters (ECONOMICS). A user-oriented building description language (BDL) facilitates the description of the building geometry, central plant equipment, HVAC systems, occupancy, equipment, and lighting schedules, and the selection of other problem parameters. In addition to the LSPE programs (LOADS, SYSTEMS, PLANT, and ECONOMICS), the system includes the BDL processor, two report generators, a weather data processor, and UPDATE, a code maintenance program. Standard output reports are produced by the RPTGEN program. Only the weather data for Chicago, which are required for execution of the sample problems, are included.

  11. Energy consumption and economic growth: Evidence from Cameroon

    International Nuclear Information System (INIS)

    Fondja Wandji, Yris D.

    2013-01-01

    The aim of this paper is to study the nature of the relationship between energy consumption and economic growth in Cameroon through a three-step approach: (i) Study the stationarity of the chronic, (ii) test of causality between variables and (iii) estimate the appropriate model. The study concludes in a non-stationarity of the series. Using the data in first difference, the Granger causality test yields a strong evidence for unidirectional causality running from OIL to GDP. Cointegration tests also show that these two series are co-integrated and the Error Correction Model (ECM) reveals that every percentage increase in Oil products consumption increases economic growth by around 1.1%. This result confirms the intuition that an economic policy aimed at improving energy supply will necessarily have a positive impact on economic growth. On the other side, a lack of energy is a major bottleneck for further economic development in Cameroon. - Highlights: • The series of GDP, ELECTRICITY, OIL and BIOFUELS are integrated of order 1. • The Granger causality test yields a unidirectional causality running from OIL to GDP. • No causal link between GDP and ELECTRICITY, and no more between GDP and BIOFUELS. • Cointegration tests also show that only OIL and GDP are co-integrated. • Every percentage increase in OIL increases GDP by around 1.1%

  12. 75 FR 52892 - Energy Conservation Program for Consumer Products: Test Procedures for Residential Water Heaters...

    Science.gov (United States)

    2010-08-30

    ... for Residential Water Heaters, Direct Heating Equipment, and Pool Heaters AGENCY: Office of Energy... ``Energy Conservation Program for Consumer Products Other Than Automobiles,'' including residential water... energy consumption, and because off mode is not applicable to water heaters, no amendment is required...

  13. 77 FR 74559 - Energy Conservation Program for Consumer Products: Test Procedures for Residential Water Heaters...

    Science.gov (United States)

    2012-12-17

    ... Energy (DOE) is amending its test procedures for residential water heaters, direct heating equipment (DHE... procedures for residential water heaters include a full- year accounting of energy use, both electricity and... water heaters already account for standby mode and off mode energy consumption. III. Discussion In the...

  14. 76 FR 56347 - Energy Conservation Program for Consumer Products: Test Procedures for Residential Water Heaters...

    Science.gov (United States)

    2011-09-13

    ... procedure for residential water heaters fully addresses standby mode and off mode energy consumption, this... DEPARTMENT OF ENERGY 10 CFR Part 430 [Docket No. EERE-2009-BT-TP-0013] RIN 1904-AB95 Energy Conservation Program for Consumer Products: Test Procedures for Residential Water Heaters, Direct Heating...

  15. The Campus Demotechnic Index: A comparison of technological energy consumption at U.S. colleges and universities

    Science.gov (United States)

    Vance, Leisha Ann

    The Campus Demotechnic Index (CDI) is a normalized metric developed to provide universities with a method for tracking progress toward or retreat from sustainability in their energy consumption. The CDI is modified after the Demotechnic Index of Mata et al. (1994). CDI values assess the total campus energy consumed against the total energy required to meet the campus population's basal metabolism. Like the D-Index, the CDI is thus a measure of the scalar quantity of energy consumed in excess of the quantity of energy required for simple survival on a per capita basis. For this research, data were collected from an on-line survey designed for U.S. colleges and universities, which requested information related to campus demographics and campus built and mobile environmental energy consumption. Data were requested for the years of 2000 to 2005. Wilcoxon signed rank test analyses were conducted to determine if CDI values significantly increased over time. ANOVAs, GLMs, correlations and regressions were conducted to determine if climate and campus size significantly influenced CDI. ANOVAs, correlations and regressions were conducted to determine the effect of acreage on mobile fuel consumption and to ascertain whether differing proportions between the built and mobile environments significantly influenced CDI values. Correlations and regressions were carried out to which variables best predicted CDI, and cluster analyses were conducted to find out if any significant groups existed based on CDI values, fossil fuel consumption and population per square foot. The knowledge gained from results of these analyses not only provides a depiction of campus energy consumption, but also puts campus energy consumption into context in that CDI scores allow peer institutional comparisons. Awareness of factors that contribute to campus energy use (and CDI ranks) could also facilitate prioritization of sustainability-related issues, as well as the design and establishment of sustainable

  16. Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

    International Nuclear Information System (INIS)

    Chou, Jui-Sheng; Ngo, Ngoc-Tri

    2016-01-01

    Highlights: • This study develops a novel time-series sliding window forecast system. • The system integrates metaheuristics, machine learning and time-series models. • Site experiment of smart grid infrastructure is installed to retrieve real-time data. • The proposed system accurately predicts energy consumption in residential buildings. • The forecasting system can help users minimize their electricity usage. - Abstract: Smart grids are a promising solution to the rapidly growing power demand because they can considerably increase building energy efficiency. This study developed a novel time-series sliding window metaheuristic optimization-based machine learning system for predicting real-time building energy consumption data collected by a smart grid. The proposed system integrates a seasonal autoregressive integrated moving average (SARIMA) model and metaheuristic firefly algorithm-based least squares support vector regression (MetaFA-LSSVR) model. Specifically, the proposed system fits the SARIMA model to linear data components in the first stage, and the MetaFA-LSSVR model captures nonlinear data components in the second stage. Real-time data retrieved from an experimental smart grid installed in a building were used to evaluate the efficacy and effectiveness of the proposed system. A k-week sliding window approach is proposed for employing historical data as input for the novel time-series forecasting system. The prediction system yielded high and reliable accuracy rates in 1-day-ahead predictions of building energy consumption, with a total error rate of 1.181% and mean absolute error of 0.026 kW h. Notably, the system demonstrates an improved accuracy rate in the range of 36.8–113.2% relative to those of the linear forecasting model (i.e., SARIMA) and nonlinear forecasting models (i.e., LSSVR and MetaFA-LSSVR). Therefore, end users can further apply the forecasted information to enhance efficiency of energy usage in their buildings, especially

  17. A new survey tool to assess pluvial damage to residential buildings

    Science.gov (United States)

    Rözer, Viktor; Spekkers, Matthieu; ten Veldhuis, Marie-Claire; Kreibich, Heidi

    2017-04-01

    Pluvial floods have caused severe damage to urban dwellings in Europe and elsewhere in recent years. These type of flood events are caused by storm events with exceptionally high rainfall rates, which lead to inundation of streets and buildings and are commonly associated with a failure of the urban drainage system. Therefore, pluvial floods often happen with little warning and in areas that are not obviously prone to flooding. With a predicted increase in extreme weather events as well as an ongoing urbanization, pluvial flood damage is expected to increase in the future. So far little research was done on the adverse consequences of pluvial floods, as empirical damage data of pluvial flooding is scarce. Therefore, a newly developed survey tool to assess pluvial flood damage as well as the results of a comparison between two international pluvial flood case studies are presented. The questionnaire used in the two study areas was developed with the aim to create a harmonized transnational pluvial flood damage survey that can potentially be extended to other European countries. New indicator variables have been developed to account for different national and regional standards in building structure, early warning, socio-economic data and recovery. The surveys comprise interviews with 510 households in the Münster area (Germany) and 349 households in Amsterdam (the Netherlands), which were affected by the heavy rainfall events on July 28 2014. The respondents were asked more than 80 questions about the damage to their building structure and contents, as well as on topics such as early warning, emergency and precautionary measures, building properties and hazard characteristics. A comparison of the two surveys revealed strong similarities concerning damage reducing effects and the popularity of precautionary measures, besides significant differences between the mean water levels inside the house as well as the median of the building structure and content damage. A

  18. State of Maine residential heating oil survey: 1995--1996 season summary

    International Nuclear Information System (INIS)

    Elder, B.

    1996-05-01

    In Maine the cash price is surveyed, as opposed to lthe retail or charge price, as it has been identified as the price most often paid by Maine consumers. As one can see from the chart in this report, the 1995-1996 cash prices for No. 2 heating oil can be characterized as having an upward trend and much more fluctuation than last years' relatively flat line. The 1995-96 heating season started at the closing price of the previous season and for the first few weeks prices were lower than most of the 1994-95 trendline. When the weather became cooler, however, prices were on a steady incline until well into the winter. Prices leveled off for most of the rest of the season with a dramatic surge on the last week of the survey. The average statewide cash price for No. 2 heating oil this year was .861 1 cents, approximately ten cents higher than the average for 1994-1995 which was .7661 cents per gallon. It has been the observation of the SPO that during most of the 1995-1996 season, Maine's prices showed a direct correspondence with New England rack or wholesale prices. It appeared that they never fluctuated more than 3-4 cents from each other

  19. Thermal comfort and building energy consumption implications – A review

    International Nuclear Information System (INIS)

    Yang, Liu; Yan, Haiyan; Lam, Joseph C.

    2014-01-01

    Highlights: • We review studies of thermal comfort and discuss building energy use implications. • Adaptive comfort models tend to have a wider comfort temperature range. • Higher indoor temperatures would lead to fewer cooling systems and less energy use. • Socio-economic study and post-occupancy evaluation of built environment is desirable. • Important to consider future climate scenarios in heating, cooling and power schemes. - Abstract: Buildings account for about 40% of the global energy consumption and contribute over 30% of the CO 2 emissions. A large proportion of this energy is used for thermal comfort in buildings. This paper reviews thermal comfort research work and discusses the implications for building energy efficiency. Predicted mean vote works well in air-conditioned spaces but not naturally ventilated buildings, whereas adaptive models tend to have a broader comfort temperature ranges. Higher indoor temperatures in summertime conditions would lead to less prevalence of cooling systems as well as less cooling requirements. Raising summer set point temperature has good energy saving potential, in that it can be applied to both new and existing buildings. Further research and development work conducive to a better understanding of thermal comfort and energy conservation in buildings have been identified and discussed. These include (i) social-economic and cultural studies in general and post-occupancy evaluation of the built environment and the corresponding energy use in particular, and (ii) consideration of future climate scenarios in the analysis of co- and tri-generation schemes for HVAC applications, fuel mix and the associated energy planning/distribution systems in response to the expected changes in heating and cooling requirements due to climate change

  20. The influence of energy consumption of China on its real GDP from aggregated and disaggregated viewpoints

    International Nuclear Information System (INIS)

    Zhang, Wei; Yang, Shuyun

    2013-01-01

    This paper investigated the causal relationship between energy consumption and gross domestic product (GDP) in China at both aggregated and disaggregated levels during the period of 1978–2009 by using a modified version of the Granger (1969) causality test proposed by Toda and Yamamoto (1995) within a multivariate framework. The empirical results suggested the existence of a negative bi-directional Granger causality running from aggregated energy consumption to real GDP. At disaggregated level of energy consumption, the results were complicated. For coal, empirical findings suggested that there was a negative bi-directional Granger causality running from coal consumption to real GDP. However, for oil and gas, empirical findings suggested a positive bi-directional Granger causality running from oil as well as gas consumption to real GDP. Though these results supported the feedback hypothesis, the negative relationship might be attributed to the growing economy production shifting towards less energy intensive sectors and excessive energy consumption in relatively unproductive sectors. The results indicated that policies with reducing aggregated energy consumption and promoting energy conservation may boost China's economic growth. - Highlights: ► A negative bi-directional Granger causality runs from energy consumption to real GDP. ► The same result runs from coal consumption to real GDP, but oil and gas it does not. ► The results partly derive from excessive energy consumption in unproductive sectors. ► Reducing aggregated energy consumption probably promotes the development of China's economy

  1. Energy consumption and GDP in Turkey : Is there a co-integration relationship?

    NARCIS (Netherlands)

    Montfort, van K.; Lise, W.

    2007-01-01

    Energy consumption and GDP are expected to grow by 5.9% and 7% annually until 2025 in Turkey. This paper tries to unfold the linkage between energy consumption and GDP by undertaking a co-integration analysis for Turkey with annual data over the period 1970-2003. The analysis shows that energy

  2. Energy consumption and GDP in Turkey: is there a co-integration relationship?

    NARCIS (Netherlands)

    van Montfort, C.A.G.M.; Lise, W.

    2007-01-01

    Energy consumption and GDP are expected to grow by 5.9% and 7% annually until 2025 in Turkey. This paper tries to unfold the linkage between energy consumption and GDP by undertaking a co-integration analysis for Turkey with annual data over the period 1970-2003. The analysis shows that energy

  3. CO2 emissions, energy consumption and economic growth in China: A panel data analysis

    International Nuclear Information System (INIS)

    Wang, S.S.; Zhou, D.Q.; Zhou, P.; Wang, Q.W.

    2011-01-01

    This paper examines the causal relationships between carbon dioxide emissions, energy consumption and real economic output using panel cointegration and panel vector error correction modeling techniques based on the panel data for 28 provinces in China over the period 1995-2007. Our empirical results show that CO 2 emissions, energy consumption and economic growth have appeared to be cointegrated. Moreover, there exists bidirectional causality between CO 2 emissions and energy consumption, and also between energy consumption and economic growth. It has also been found that energy consumption and economic growth are the long-run causes for CO 2 emissions and CO 2 emissions and economic growth are the long-run causes for energy consumption. The results indicate that China's CO 2 emissions will not decrease in a long period of time and reducing CO 2 emissions may handicap China's economic growth to some degree. Some policy implications of the empirical results have finally been proposed. - Highlights: → We conduct a panel data analysis of the energy-CO 2 -economy nexus in China. → CO 2 emissions, energy use and economic growth appear to be cointegrated. → There exists bidirectional causality between energy consumption and economic growth. → Energy consumption and economic growth are the long-run causes for CO 2 emissions.

  4. The analysis of energy consumption of a commercial building in Tianjin, China

    International Nuclear Information System (INIS)

    Zhao Jing; Zhu Neng; Wu Yong

    2009-01-01

    According to statistics and field investigation, the energy consumption situation and reality of commercial building is described in this paper. As the first step of large-scale public building energy efficiency supervision system encouraged by central government of China, the energy consumption of several typical commercial buildings and public buildings was analyzed in detail. The main contents of investigation are as follows: basic information of building, operational record of energy consumption equipment, energy consumption of indoor equipments, energy-efficiency assessment of energy consumption systems and equipments, investigation of behavior energy saving, etc. On this basis further analysis and diagnosis including indoor thermal and humid environment, operation state of air-conditioning water system, operation state of air-conditioning duct system and operation management of air-conditioning system were implemented. The results show that the most energy consumption of buildings in this city is commercial buildings, which can reach to about 240 W/m 2 per year. Further analysis tells that air conditioning systems play the major role of building energy consumption, and building energy saving has great potential in this city. In this paper, the ways of diagnosis work for building energy consumption are also described and discussed. Reasonable test, diagnosis and analysis are meaningful for building energy efficiency retrofit and management.

  5. Energy consumption and economic growth in New Zealand: Results of trivariate and multivariate models

    International Nuclear Information System (INIS)

    Bartleet, Matthew; Gounder, Rukmani

    2010-01-01

    This study examines the energy consumption-growth nexus in New Zealand. Causal linkages between energy and macroeconomic variables are investigated using trivariate demand-side and multivariate production models. Long run and short run relationships are estimated for the period 1960-2004. The estimated results of demand model reveal a long run relationship between energy consumption, real GDP and energy prices. The short run results indicate that real GDP Granger-causes energy consumption without feedback, consistent with the proposition that energy demand is a derived demand. Energy prices are found to be significant for energy consumption outcomes. Production model results indicate a long run relationship between real GDP, energy consumption and employment. The Granger-causality is found from real GDP to energy consumption, providing additional evidence to support the neoclassical proposition that energy consumption in New Zealand is fundamentally driven by economic activities. Inclusion of capital in the multivariate production model shows short run causality from capital to energy consumption. Also, changes in real GDP and employment have significant predictive power for changes in real capital.

  6. Diversity in OECD energy consumption: Achievements and long-term goals

    International Nuclear Information System (INIS)

    Heal, D.W.

    1990-01-01

    Energy consumption in the industrialized world has resumed a rising trend but has been moderated by increased energy efficiency. The demand for energy is also being spread more evenly over a variety of fuels. This paper provides a measure for diversity and examines the implications for energy prices, while reiterating the long-term goal of lower energy consumption

  7. Cool roofs and the influence on the energy consumption under Danish conditions

    DEFF Research Database (Denmark)

    Brandt, Erik; Bunch-Nielsen, Tommy; Juhl, Lasse

    Experience from countries in warm climates has shown that the color of the roofing material has a significant effect on the energy consumption of the building. Especially changing from black to white roofing material provides reduction in energy consumption. The investigated roofs have been with ...

  8. Analysis of effecting factors on domestic refrigerators’ energy consumption in use

    International Nuclear Information System (INIS)

    Geppert, Jasmin; Stamminger, Rainer

    2013-01-01

    Highlights: • Energy consumption of refrigerators is highly sensitive to operating conditions. • Ambient temperature has the highest impact on energy consumption of refrigerator. • There is a quadratic relationship between ambient temperature and energy use. • Compartment temperature and additional heat load have a lower impact on energy use. • Under moderate conditions, measured energy use closely match Energy Label values. - Abstract: In order to determine the sensitiveness of refrigerators’ energy consumption on various operational factors reflecting real life conditions, four different refrigerators were tested in laboratory using Box–Behnken design with three variables (ambient temperature, thermostat setting position and additional heat load by storing warm food) at three different levels. The investigations show that the energy consumption of refrigerators is highly sensitive to actual operational conditions. Daily energy consumption of one and the same appliance may vary between a few watt-hours and 2000 Wh and even more, dependent on the respective operational factors. Analysis of variance (ANOVA) reveals that ambient temperature is the most influential factor on the energy consumption of a refrigerator. Energy use is also affected, to a minor degree, by internal compartment temperature and additional heat load. Test results are presented and energy consumption data are compared with values shown on the European Energy Label. Results are discussed also with regard to the question as to whether or not the Energy Label and the associated test standard are appropriate to project actual energy consumption in use

  9. A US-China Interview Study: Biology Students' Argumentation and Explanation about Energy Consumption Issues

    Science.gov (United States)

    Jin, Hui; Hokayem, Hayat; Wang, Sasha; Wei, Xin

    2016-01-01

    As China and the United States become the top two carbon emitters in the world, it is crucial for citizens in both countries to construct a sophisticated understanding of energy consumption issues. This interview study examines how U.S. and Chinese students compare in explaining and arguing about two critical energy consumption issues: burning…

  10. Exploring the relationship between energy consumption and GDP: Evidence from Croatia

    International Nuclear Information System (INIS)

    Borozan, Djula

    2013-01-01

    The main purpose of this paper is to explore the relationship between total energy consumption and real gross domestic product (GDP) covering the period between 1992 and 2010 in Croatia. The methodology employed in this paper is based on the bivariate vector autoregression (VAR) and Granger causality tests. Moreover, the impulse response function and variance decomposition analysis are employed to trace the dynamic response paths of shocks to the system. The empirical analysis shows that, when it is allowed for any deterministic component in the data, total energy consumption and real GDP are not co-integrated in the period observed. Furthermore, there is a unidirectional causality running from total energy consumption to GDP, and an impulse response to GDP caused by energy consumption, being mainly embodied in the first years. The results indicate that total energy consumption is an important component determining economic growth in Croatia and that energy conservation policy should be formulated and implemented wisely. This paper also tests the causality between real GDP and consumption of the five energy variables by using the bivariate VAR. The main implication of these tests is that individual energy forms matter when it comes to energy policy formulation. - Highlights: • There is a unidirectional causality running from energy consumption to real GDP in Croatia. • There is an impulse response to real GDP caused by energy consumption, being mainly embodied in the first years. • Energy consumption is an important component determining economic growth. • Individual energy forms matter when it comes to energy policy formulation

  11. Analysis of Factors Contributing to Changes in Energy Consumption in Tangshan City between 2007 and 2012

    Directory of Open Access Journals (Sweden)

    Jialing Zou

    2017-03-01

    Full Text Available The aim of this paper is to identify the correlations between energy consumption and the factors that control usage in the city of Tangshan. To do this, we first analyze the current status of Tangshan’s economic development and energy consumption, and then applied the logarithmic mean Divisia index to identify the factors affecting the changes in energy consumption of all sectors. The findings are summarized as follows: (1 secondary industry accounts for an extremely high percentage of industry in Tangshan city, much higher than the national average; from 2007 to 2012, the proportion of secondary industry increased in Tangshan city; (2 Tangshan’s energy consumption in 2013 was nearly twice that in 2005. Coal and coke coal consumption was responsible for 96.2% of total energy consumption in 2005 and 95.1% in 2013; (3 Tangshan’s energy intensity decreased from 3.00 tce/thousand Yuan in 2005 to 1.85 tce/thousand Yuan in 2013. However, the energy intensity of Tangshan was far more than the average for China, and the decline in Tangshan’s energy intensity was much slower than the average for China; (4 The technical effect plays a dominant role in decreasing energy consumption in most sectors, and the scale effect is the most important contributor to increasing energy consumption in all sectors. Input structural and final use structural effects play different roles in energy consumption in different sectors.

  12. Structural Decomposition Analysis of China’s Industrial Energy Consumption Based on Input-Output Analysis

    Science.gov (United States)

    Huang, X. Y.; Zhou, J. Q.; Wang, Z.; Deng, L. C.; Hong, S.

    2017-05-01

    China is now at a stage of accelerated industrialization and urbanization, with energy-intensive industries contributing a large proportion of economic growth. In this study, we examined industrial energy consumption by decomposition analysis to describe the driving factors of energy consumption in China. Based on input-output (I-O) tables from the World Input-Output Database (WIOD) website and China’s energy use data from 1995 to 2011, we studied the sectorial changes of energy efficiency during the examined period. The results showed that all industries increased their energy efficiency. Energy consumption was decomposed into three factors by the logarithmic mean Divisia index (LMDI) method. The increase in production output was the leading factor that drives up China’s energy consumption. World Trade Organization accession and financial crises had great impact on the energy consumption. Based on these results, a series of energy policy suggestions for decision-makers has been proposed.

  13. 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.

  14. Disaggregated energy consumption and GDP in Taiwan: A threshold co-integration analysis

    International Nuclear Information System (INIS)

    Hu, J.-L.; Lin, C.-H.

    2008-01-01

    Energy consumption growth is much higher than economic growth for Taiwan in recent years, worsening its energy efficiency. This paper provides a solid explanation by examining the equilibrium relationship between GDP and disaggregated energy consumption under a non-linear framework. The threshold co-integration test developed with asymmetric dynamic adjusting processes proposed by Hansen and Seo [Hansen, B.E., Seo, B., 2002. Testing for two-regime threshold cointegration in vector error-correction models. Journal of Econometrics 110, 293-318.] is applied. Non-linear co-integrations between GDP and disaggregated energy consumptions are confirmed except for oil consumption. The two-regime vector error-correction models (VECM) show that the adjustment process of energy consumption toward equilibrium is highly persistent when an appropriately threshold is reached. There is mean-reverting behavior when the threshold is reached, making aggregate and disaggregated energy consumptions grow faster than GDP in Taiwan

  15. Energy consumption and economic growth—New evidence from meta analysis

    International Nuclear Information System (INIS)

    Chen, Ping-Yu; Chen, Sheng-Tung; Chen, Chi-Chung

    2012-01-01

    The causal relationships between energy consumption and economic growth have given rise to much discussion but remain controversial. Alternative data sets based on different time spans, countries, energy policies and econometric approaches result in diverse outcomes. A meta analysis using a multinomial logit model with 174 samples governing the relationships between GDP and energy consumption is applied here to investigate the major factors that affect these controversial outcomes. The empirical results have demonstrated how the time spans, subject selections including GDP and energy consumption, econometric models, and tools for greenhouse gases emission reduction characteristics significantly affect these controversial outcomes. - Highlights: ► The controversial casual relationships between energy consumption and GDP are investigated. ► A meta analysis using a multinomial logit model is adopted. ► 74 studies governing the relationships between GDP and energy consumption was collected. ► The empirical results show how the probability of major factors affects such relationships.

  16. Does energy consumption contribute to environmental pollutants? Evidence from SAARC countries.

    Science.gov (United States)

    Akhmat, Ghulam; Zaman, Khalid; Shukui, Tan; Irfan, Danish; Khan, Muhammad Mushtaq

    2014-05-01

    The objective of the study is to examine the causal relationship between energy consumption and environmental pollutants in selected South Asian Association for Regional Cooperation (SAARC) countries, namely, Bangladesh, India, Nepal, Pakistan, and Srilanka, over the period of 1975-2011. The results indicate that energy consumption acts as an important driver to increase environmental pollutants in SAARC countries. Granger causality runs from energy consumption to environmental pollutants, but not vice versa, except carbon dioxide (CO2) emissions in Nepal where there exists a bidirectional causality between CO2 and energy consumption. Methane emissions in Bangladesh, Pakistan, and Srilanka and extreme temperature in India and Srilanka do not Granger cause energy consumption via both routes, which holds neutrality hypothesis. Variance decomposition analysis shows that among all the environmental indicators, CO2 in Bangladesh and Nepal exerts the largest contribution to changes in electric power consumption. Average precipitation in India, methane emissions in Pakistan, and extreme temperature in Srilanka exert the largest contribution.

  17. DOES ENERGY CONSUMPTION VOLATILITY AFFECT REAL GDP VOLATILITY? AN EMPIRICAL ANALYSIS FOR THE UK

    Directory of Open Access Journals (Sweden)

    Abdul Rashid

    2013-10-01

    Full Text Available This paper empirically examines the relation between energy consumption volatility and unpredictable variations in real gross domestic product (GDP in the UK. Estimating the Markov switching ARCH model we find a significant regime switching in the behavior of both energy consumption and GDP volatility. The results from the Markov regime-switching model show that the variability of energy consumption has a significant role to play in determining the behavior of GDP volatilities. Moreover, the results suggest that the impacts of unpredictable variations in energy consumption on GDP volatility are asymmetric, depending on the intensity of volatility. In particular, we find that while there is no significant contemporaneous relationship between energy consumption volatility and GDP volatility in the first (low-volatility regime, GDP volatility is significantly positively related to the volatility of energy utilization in the second (high-volatility regime.

  18. 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)

  19. 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.

  20. 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

  1. China's energy consumption under the global economic crisis: Decomposition and sectoral analysis

    International Nuclear Information System (INIS)

    Li, Fangyi; Song, Zhouying; Liu, Weidong

    2014-01-01

    It is now widely recognized that there is a strong relationship between energy consumption and economic growth. Most countries′ energy demands declined during the economic depression of 2008–2009 when a worldwide economic crisis occurred. As an export-oriented economy, China suffered a serious exports decline in the course of the crisis. However, it was found that energy consumption continued to increase. Against such a background, this paper aims to assess and explain the factors causing the growth of energy consumption in China. First, we will explain the impact of domestic final use and international trade on energy consumption by using decomposition analysis. Second, embodied energy and its variation across sectors are quantified to identify the key sectors contributing to the growth. Lastly, the policy implications for long-term energy conservation are discussed. The results show that the decline in exports was one of the driving forces for energy consumption reduction in the crisis, but that the growth of domestic demand in manufacturing and construction, largely stimulated by economic stimulus plans, had the opposite effect on energy consumption. International trade contributed to decreasing energy consumption of China during and after the crisis because the structure of exports and imports changed in this period. - Highlights: • We analyze the reasons for China's energy consumption change under the global economic crisis during 2007–2010. • Domestic final use growth, especially in construction and manufacturing of machinery and equipment, resulted in energy consumption increase. • International trade is identified as a driver of energy consumption reduction during and after the crisis. • Increasing China's share of consumption or reducing its share of investment in the GDP can reduce national energy intensity

  2. Interpreting the dynamic nexus between energy consumption and economic growth: Empirical evidence from Russia

    International Nuclear Information System (INIS)

    Zhang Yuejun

    2011-01-01

    Research on the nexus between energy consumption and economic growth is a fundamental topic for energy policy making and low-carbon economic development. Russia proves the third largest energy consumption country in the world in recent years, while little research has shed light upon its energy consumption issue till now, especially its energy-growth nexus. Therefore, this paper empirically investigates the dynamic nexus of the two variables in Russia based on the state space model. The results indicate that, first of all, Russia's energy consumption is cointegrated with its economic growth in a time-varying way though they do not have static or average cointegration relationship. Hence it is unsuitable to merely portrait the nexus in an average manner. Second, ever since the year of 2000, Russia's energy efficiency has achieved much more promotion compared with that in previous decades, mainly due to the industrial structure adjustment and technology progress. Third, among BRIC countries, the consistency of Russia's energy consumption and economic growth appears the worst, which suggests the complexity of energy-growth nexus in Russia. Finally, there exists bi-directional causality between Russia's energy consumption and economic growth, though their quantitative proportional relation does not have solid foundation according to the cointegration theory. - Research highlights: →This study investigates the dynamic nexus of energy consumption and economic growth in Russia. → Russia's energy consumption is cointegrated with its economic growth in a time-varying way though they do not have static or average cointegration relationship. → Ever since 2000, Russia's energy efficiency has achieved much more promotion compared with that in previous decades. → Among BRIC countries, the consistency of Russia's energy consumption and economic growth appears the worst. → There exists bi-directional causality between Russia's energy consumption and economic growth.

  3. Smart meter adoption and deployment strategy for residential buildings in Indonesia

    International Nuclear Information System (INIS)

    Chou, Jui-Sheng; Gusti Ayu Novi Yutami, I

    2014-01-01

    Highlights: • Limited consumer awareness of smart meters contributes to skepticism. • Data obtained from a survey of energy users are analyzed using SEM. • A CAP index is developed via SEM results to measure consumer propensity for adopting smart meters. • The findings of this study enhance understanding of consumer perceptions and behaviors. • Concrete strategies are proposed to help policy makers and utility companies. - Abstract: For countries pursuing sustainable development and energy efficiency, the use of smart meters is considered a first step in allowing residential consumers to remotely control their energy consumption, and a promising technology for conserving limited energy resources. However, despite the growing interest in smart meters, limited consumer awareness, knowledge, and understanding of these devices contributes to skepticism. This study thus developed an index to measure consumer propensity to adopt smart meters in residential buildings. Data obtained from a survey of energy use by Indonesian households were analyzed using structural equation modeling to determine the interacting factors in consumer acceptance of smart meters. Consumer perceptions, expectations, and intentions regarding the potential use of smart meters in Indonesia were also discussed. The findings of this study enhance understanding of consumer perceptions and behaviors, and can help decision makers and energy utility companies develop policies and strategies for a “one-size-fits-all” program related to smart meter applications in future residential buildings

  4. A look at commercial buildings in 1995: Characteristics, energy consumption, and energy expenditures

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-10-01

    The commercial sector consists of business establishments and other organizations that provide services. The sector includes service businesses, such as retail and wholesale stores, hotels and motels, restaurants, and hospitals, as well as a wide range of facilities that would not be considered commercial in a traditional economic sense, such as public schools, correctional institutions, and religious and fraternal organizations. Nearly all energy use in the commercial sector takes place in, or is associated with, the buildings that house these commercial activities. Analysis of the structures, activities, and equipment associated with different types of buildings is the clearest way to evaluate commercial sector energy use. The Commercial Buildings Energy Consumption Survey (CBECS) is a national-level sample survey of commercial buildings and their energy suppliers conducted quadrennially (previously triennially) by the Energy Information Administration (EIA). The target population for the 1995 CBECS consisted of all commercial buildings in the US with more than 1,000 square feet of floorspace. Decision makers, businesses, and other organizations that are concerned with the use of energy--building owners and managers, regulators, legislative bodies and executive agencies at all levels of government, utilities and other energy suppliers--are confronted with a buildings sector that is complex. Data on major characteristics (e.g., type of building, size, year constructed, location) collected from the buildings, along with the amount and types of energy the buildings consume, help answer fundamental questions about the use of energy in commercial buildings.

  5. ENERGY CONSUMPTION AND ECONOMIC GROWTH NEXUS: NEW EMPIRICAL EVIDENCE FROM NIGERIA

    Directory of Open Access Journals (Sweden)

    Bamidele Pereowei Abalaba

    2013-10-01

    Full Text Available This study analysed the trend of energy consumption, real output, financial development, monetary policy rate and consumer prices and also examined the long-run relationship and direction of causality between energy consumption and economic growth with consideration for financial development, monetary policy rate and consumer prices. These were with a view to examining the relationship between energy consumption and economic growth in Nigeria during the period 1971-2010. The result showed that all the variables used in the study are characterized by a positive trend. Also, it was found that variables followed a I(1 process. The study provides weak evidence in support of long-run relationship between energy consumption and economic growth. The study further revealed that energy consumption among other variables positively and significantly influenced output growth in the short-run. Using the first three lags, we found no causal evidence one way or two way between energy consumption and economic growth. The study concluded that energy consumption only has short-run positive impact on the economy but has not enhanced long-run economic growth in Nigeria during the period under investigation.

  6. Financial Development, Economic Growth and Energy Consumption Nexus in Cote d’Ivoire

    Directory of Open Access Journals (Sweden)

    Diby Kassi

    2017-10-01

    Full Text Available This paper examines the relationship between financial development, economic growth and energy consumption in Cote d’Ivoire over the period 1971-2011. To do so, the study first built a synthetic indicator of financial development through the principal component analysis technique (PCA and used four energy sources such as electric power consumption, electricity production from renewable sources, electricity production from oil sources and electricity production from hydroelectric sources. Then, employing the autoregressive distributed lag (ARDL bounds testing approach to cointegration, we find that there is a long run relationship between financial development, economic growth and energy consumption sources. Furthermore, the results of the vector error correction models (VECM reveal unidirectional causality running from financial development to energy consumption sources, bidirectional causality between economic growth and energy consumption and unidirectional causality from financial development to economic growth in the long run. The mixed results are due to the use of different proxies for energy consumption. Accordingly, this paper recommends that policy makers should solicit the support of financial sector in order to solve energy problems and further the diversification of the energy consumption sources since financial development has a positive effect on energy consumption in long run. Moreover, government should develop public-private partnership (PPP to stimulate economic growth, improve the access to energy and maintain a sustainable development in Cote d’Ivoire.

  7. Analysis of energy consumption at the Rzeszów Wastewater Treatment Plant

    Science.gov (United States)

    Masłoń, Adam

    2017-11-01

    Wastewater treatment plants can be classified as energy-intensive facilities, as they account for up to 35 percent of municipal energy consumption. Pumps and aeration systems consume a significant portion of energy within the wastewater plants in particular. The cost of energy consumption for wastewater treatment processes reaches up to 40% of the total operating cost. In case of the WWTPs with the activated sludge systems, about 50% of energy is used for aeration and mixing purposes. At WWTPs, energy consumption is often correlated with the magnitude and type of pollutant load, which can influence the treatment methods and technologies used in the WWTP. In many cases wastewater treatment plants are operated without optimized measures for process optimization. A detailed study of the energy consumption should be executed in order to determine the optimization potential. This paper presents the energy consumption in municipal wastewater treatment plant in Rzeszów (Poland). In the year 2016, parameters of raw and treated wastewater were tested. The data related to energy consumption in plants allowed us to determine the energy intensity coefficients. Total consumption was measured. Indicators of energy consumption per cubic meter and removed load were calculated.

  8. Causal relationship between nuclear energy consumption and economic growth: A multi-country analysis

    International Nuclear Information System (INIS)

    Yoo, Seung-Hoon; Ku, Se-Ju

    2009-01-01

    This paper attempts to investigate the causal relationship between nuclear energy consumption and economic growth using the data from six countries among 20 countries that have used nuclear energy for more than 20 years until 2005. To this end, time-series techniques including the tests for unit roots, co-integration, and Granger-causality are employed to Argentina, France, Germany, Korea, Pakistan, and Switzerland. The main conclusion is that the causal relationship between nuclear energy consumption and economic growth is not uniform across countries. In the case of Switzerland, there exists bi-directional causality between nuclear energy consumption and economic growth. This means that an increase in nuclear energy consumption directly affects economic growth and that economic growth also stimulates further nuclear energy consumption. The uni-directional causality runs from economic growth to nuclear energy consumption without any feedback effects in France and Pakistan, and from nuclear energy to economic growth in Korea. However, any causality between nuclear energy consumption and economic growth in Argentina and Germany is not detected.

  9. Energy consumption across European Union farms: Efficiency in terms of farming output and utilized agricultural area

    International Nuclear Information System (INIS)

    Martinho, Vítor João Pereira Domingues

    2016-01-01

    Energy consumption is a global concern, namely due to the limited availability of energy sources and the consequences in terms of gas emissions, with its implications upon greenhouse gas emissions. In the agricultural sector this question bears an additional concern, considering that it is an economic activity which is sensitive to the dimension of the costs associated with production factors. In this way, the objective of the study presented here is to analyze, the efficiency of energy consumption, for the twelve former European Union countries, at farm level, in terms of farming output and utilized agricultural area, over the period 1989–2009 and for the years 2004–2012, with data available in the Farm Accountancy Data Network. On the other hand, the implications of energy consumption in farms' economic performance were analyzed, through econometric techniques (time series, panel data and generalized method of moments) and models based on the Kaldor developments. As a main conclusion, to stress the decrease in efficiency related with energy consumption by farms in the twelve former European Union countries. - Highlights: • It was analyzed the efficiency of energy consumption. • It was considered data for the twelve former European Union states at farm level. • They were evaluated the implications of energy consumption in farms performance. • The conclusions stress the decrease in efficiency of the farms energy consumption.

  10. Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network

    International Nuclear Information System (INIS)

    Zeng, Yu-Rong; Zeng, Yi; Choi, Beomjin; Wang, Lin

    2017-01-01

    Reliable energy consumption forecasting can provide effective decision-making support for planning development strategies to energy enterprises and for establishing national energy policies. Accordingly, the present study aims to apply a hybrid intelligent approach named ADE–BPNN, the back-propagation neural network (BPNN) model supported by an adaptive differential evolution algorithm, to estimate energy consumption. Most often, energy consumption is influenced by socioeconomic factors. The proposed hybrid model incorporates gross domestic product, population, import, and export data as inputs. An improved differential evolution with adaptive mutation and crossover is utilized to find appropriate global initial connection weights and thresholds to enhance the forecasting performance of the BPNN. A comparative example and two extended examples are utilized to validate the applicability and accuracy of the proposed ADE–BPNN model. Errors of the test data sets indicate that the ADE–BPNN model can effectively predict energy consumption compared with the traditional back-propagation neural network model and other popular existing models. Moreover, mean impact value based analysis is conducted for electrical energy consumption in U.S. and total energy consumption forecasting in China to quantitatively explore the relative importance of each input variable for the improvement of effective energy consumption prediction. - Highlights: • Enhanced back-propagation neural network (ADE-BPNN) for energy consumption forecasting. • ADE-BPNN outperforms the current best models for two comparative cases. • Mean impact value approach explores socio-economic factors' relative importance. • ADE-BPNN's adjusted goodness-of-fit is 99.2% for China's energy consumption forecasting.

  11. 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%).

  12. Household energy consumption versus income and relative standard of living: A panel approach

    International Nuclear Information System (INIS)

    Joyeux, Roselyne; Ripple, Ronald D.

    2007-01-01

    Our fundamental premise is that energy consumption at the household level is a key indicator of standard of living. We employ state-of-the-art panel cointegration techniques to evaluate the nature of the relationship between income measures and energy consumption measures for seven East Indian Ocean countries. The general finding is that income and household electricity consumption are not cointegrated. Given this finding, we conclude that standard of living measures that rely on income measures and do not include household-level energy consumption information will necessarily miss important indications of both levels and changes of standard of living

  13. Control of Refrigeration Systems for Trade-off between Energy Consumption and Food Quality Loss

    DEFF Research Database (Denmark)

    Cai, Junping

    In supermarkets, control strategies determine both the energy consumption of refrigeration systems and the quality loss of refrigerated foodstuffs. The question is, what can be done to optimize the balance between quality loss and energy consumption? This thesis tries to answer this question by a...... strategy is through utilization of the thermal mass of the refrigerated foodstuffs, the day-night temperature variation and the capacity control of the compressor, to realize a trade-off between system energy consumption and food quality loss....

  14. A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China

    International Nuclear Information System (INIS)

    Chang, Ching-Chih

    2010-01-01

    This paper uses multivariate co-integration Granger causality tests to investigate the correlations between carbon dioxide emissions, energy consumption and economic growth in China. Some researchers have argued that the adoption of a reduction in carbon dioxide emissions and energy consumption as a long term policy goal will result in a closed-form relationship, to the detriment of the economy. Therefore, a perspective that can make allowances for the fact that the exclusive pursuit of economic growth will increase energy consumption and CO 2 emissions is required; to the extent that such growth will have adverse effects with regard to global climate change. (author)

  15. A study of energy consumption in turning process using lubrication of nanoparticles enhanced coconut oil (NECO)

    Science.gov (United States)

    Mansor, A. F.; Zakaria, M. S.; Azmi, A. I.; Khalil, A. N. M.; Musa, N. A.

    2017-10-01

    Cutting fluids play very important role in machining application in order to increase tool life, surface finish and reduce energy consumption. Instead of using petrochemical and synthetic based cutting fluids, vegetable oil based lubricants is safety for operators, environmental friendly and become more popular in the industrial applications. This research paper aims to find the advantage of using vegetable oils (coconut oil) with additional of nano particles (CuO) as lubricant to the energy consumption during machining process. The energy was measured for each run from 2 level factorial experimental layout. Obtained results illustrate that lubricant with enhancement of nanoparticles has capability to improve the energy consumption during the machining process.

  16. Renewable energy consumption and economic growth: Evidence from a panel of OECD countries

    International Nuclear Information System (INIS)

    Apergis, Nicholas; Payne, James E.

    2010-01-01

    This study examines the relationship between renewable energy consumption and economic growth for a panel of twenty OECD countries over the period 1985-2005 within a multivariate framework. Given the relatively short span of the time series data, a panel cointegration and error correction model is employed to infer the causal relationship. The heterogeneous panel cointegration test reveals a long-run equilibrium relationship between real GDP, renewable energy consumption, real gross fixed capital formation, and the labor force with the respective coefficients positive and statistically significant. The Granger-causality results indicate bidirectional causality between renewable energy consumption and economic growth in both the short- and long-run.

  17. The impact of CO2 emissions and economic growth on energy consumption in 58 countries

    Directory of Open Access Journals (Sweden)

    Kais Saidi

    2015-11-01

    Full Text Available This paper attempts to investigate the impact of economic growth and CO2 emissions on energy consumption for a global panel of 58 countries using dynamic panel data model estimated by means of the Generalized Method of Moments (GMM for the period 1990–2012. We also estimate this relationship for three regional panels; namely, from Europe and North Asia, Latin America and Caribbean, and Sub-Saharan, North African and Middle Eastern. The empirical evidence indicates significant positive impact of CO2 emissions on energy consumption for four global panels. Economic growth has a positive impact on energy consumption and statistically significant only for the four panel.

  18. Reduction in Energy Consumption & Variability in Steel Foundry Operations

    Energy Technology Data Exchange (ETDEWEB)

    Frank Peters

    2005-05-04

    large process variation. This indicates the need for ongoing monitoring of the process and system to quantify the effort being expended. A system to measure the grinding effort was investigated but did not prove to be successful. A weld wire counting system was shown to be very successful in tracking casting quality by monitoring the quantity of weld wire being expended on a per casting basis. Further use of such systems is highly recommended. The field studies showed that the visual inspection process for the casting surface was a potentially large source of process variation. Measurement system analysis studies were conducted at three steel casting producers. The tests measured the consistency of the inspectors in identifying the same surface anomalies. The repeatability (variation of the same operator inspecting the same casting) was found to be relatively consistent across the companies at about 60-70%. However, this is still are very large amount of variation. Reproducibility (variation of different operators inspecting the same casting) was worse, ranging between 20 to 80% at the three locations. This large amount of variation shows that there is a great opportunity for improvement. Falsely identifying anomalies for reworking will cause increased expense and energy consumption. This is particularly true if a weld repair and repeated heat treatment is required. However, not identifying an anomaly could also result in future rework processing, a customer return, or scrap. To help alleviate this problem, casting surface comparator plates were developed and distributed to the industry. These plates are very inexpensive which enables them to be provided to all those involved with casting surface quality, such as operators, inspectors, sales, and management.

  19. Greenhouse Gas Emissions, Energy Consumption and Economic Growth: A Panel Cointegration Analysis for 16 Asian Countries.

    Science.gov (United States)

    Lu, Wen-Cheng

    2017-11-22

    This research investigates the co-movement and causality relationships between greenhouse gas emissions, energy consumption and economic growth for 16 Asian countries over the period 1990-2012. The empirical findings suggest that in the long run, bidirectional Granger causality between energy consumption, GDP and greenhouse gas emissions and between GDP, greenhouse gas emissions and energy consumption is established. A non-linear, quadratic relationship is revealed between greenhouse gas emissions, energy consumption and economic growth, consistent with the environmental Kuznets curve for these 16 Asian countries and a subsample of the Asian new industrial economy. Short-run relationships are regionally specific across the Asian continent. From the viewpoint of energy policy in Asia, various governments support low-carbon or renewable energy use and are reducing fossil fuel combustion to sustain economic growth, but in some countries, evidence suggests that energy conservation might only be marginal.

  20. Energy Conservation Behaviour Toolkit. Incentive Meachnisms for Effective Decrease of Energy Consumption at the Workplace

    NARCIS (Netherlands)

    Kalz, Marco; Börner, Dirk; Specht, Marcus

    2012-01-01

    Kalz, M., Börner, D., & Specht, M. (2012, 18 September). Energy Conservation Behaviour Toolkit. Incentive Mechanisms for Effective Decrease of Energy Consumption at the Workplace. Presentation at the 'Tussenbijeenkomst SURFnet Innovatieregeling Duurzaamheid & ICT', Utrecht, The Netherlands.

  1. An Ant Optimization Model for Unrelated Parallel Machine Scheduling with Energy Consumption and Total Tardiness

    Directory of Open Access Journals (Sweden)

    Peng Liang

    2015-01-01

    Full Text Available This research considers an unrelated parallel machine scheduling problem with energy consumption and total tardiness. This problem is compounded by two challenges: differences of unrelated parallel machines energy consumption and interaction between job assignments and machine state operations. To begin with, we establish a mathematical model for this problem. Then an ant optimization algorithm based on ATC heuristic rule (ATC-ACO is presented. Furthermore, optimal parameters of proposed algorithm are defined via Taguchi methods for generating test data. Finally, comparative experiments indicate the proposed ATC-ACO algorithm has better performance on minimizing energy consumption as well as total tardiness and the modified ATC heuristic rule is more effectively on reducing energy consumption.

  2. Energy consumption in industry, 1990 - 2035 - Scenarios I to IV for various sensitivities

    International Nuclear Information System (INIS)

    Baumgartner, W.; Ebert, O.; Weber, F.

    2006-12-01

    This comprehensive, illustrated report for the Swiss Federal Office of Energy (SFOE) takes a look at the results of a study with respect to industrial energy consumption which provided scenarios for future Swiss energy consumption. Four scenarios were elaborated: Continuation of present policy, increased co-operation between state and industry, more ambitious energy policy priorities and a scenario with even more ambitious goals - the so-called '2000 Watt Society'. For each of these scenarios several variants and a selection of sub-variants were defined, including increased prices, higher gross domestic product GDP, warmer climate and various carbon levies. The specific energy consumption of 16 different industrial sectors is examined and the effects of the various scenarios on several factors are considered. Data and results are presented in tabular and graphical form. Various measures that could influence energy consumption are listed and discussed, as are the modelling methods employed and the plausibility of the results obtained

  3. MEAN REVERTING BEHAVIOR OF ENERGY CONSUMPTION: EVIDENCE FROM SELECTED MENA COUNTRIES

    Directory of Open Access Journals (Sweden)

    Suleyman Bolat

    2013-10-01

    Full Text Available This study examines whether the energy consumption for 15 members of the Middle Eastern & North African (MENA countries is a stationary process over 1971-2010 period. Annual energy consumption data for Algeria, Bahrain, Egypt, Iran, Israel, Jordan, Lebanon, Libya, Morocco, Qatar, Saudi Arabia, Syria, Tunisia, United Arab Emirates and Turkey, is analyzed using the Lagrange Multiplier (LM unit root test, in which structural breaks in level and/or trend are endogenously determined. The results of the LM test with two breaks showed that the energy consumption per capita in 8 MENA countries is a stationary process. This study suggests that it is possible to design consistent energy policies based on econometric models and forecasts of energy consumption in those 8 MENA countries.

  4. The trend in current and near future energy consumption from a statistical perspective

    International Nuclear Information System (INIS)

    Kadoshin, Shiro; Nishiyama, Takashi; Ito, Toshihide

    2000-01-01

    Energy consumption has increased remarkably over the past half century mainly due to increasing population and economic development. The influences of these two factors are considered. In most developed countries, such as Japan, France, Germany and Korea, the growth rate of energy consumption is due to economic development. The effects of population in Germany and Japan will substantially decline. In the USA, it is due to both factors as well as in the developing countries, such as China, India, Indonesia and Latin America. Economic success is more effective than increasing population in China, India and Indonesia, while both factors are roughly equal in Latin America. In Africa, though the growth rate depends on the effect of increasing population, its contribution to world energy consumption is small. On a worldwide scale, the growth rate of energy consumption will be affected by improving standards of living. (author)

  5. Greenhouse Gas Emissions, Energy Consumption and Economic Growth: A Panel Cointegration Analysis for 16 Asian Countries

    Science.gov (United States)

    2017-01-01

    This research investigates the co-movement and causality relationships between greenhouse gas emissions, energy consumption and economic growth for 16 Asian countries over the period 1990–2012. The empirical findings suggest that in the long run, bidirectional Granger causality between energy consumption, GDP and greenhouse gas emissions and between GDP, greenhouse gas emissions and energy consumption is established. A non-linear, quadratic relationship is revealed between greenhouse gas emissions, energy consumption and economic growth, consistent with the environmental Kuznets curve for these 16 Asian countries and a subsample of the Asian new industrial economy. Short-run relationships are regionally specific across the Asian continent. From the viewpoint of energy policy in Asia, various governments support low-carbon or renewable energy use and are reducing fossil fuel combustion to sustain economic growth, but in some countries, evidence suggests that energy conservation might only be marginal. PMID:29165399

  6. The causal link among militarization, economic growth, CO2 emission, and energy consumption.

    Science.gov (United States)

    Bildirici, Melike E

    2017-02-01

    This paper examines the long-run and the causal relationship among CO 2 emissions, militarization, economic growth, and energy consumption for USA for the period 1960-2013. Using the bound test approach to cointegration, a short-run as well as a long-run relationship among the variables with a positive and a statistically significant relationship between CO 2 emissions and militarization was found. To determine the causal link, MWALD and Rao's F tests were applied. According to Rao's F tests, the evidence of a unidirectional causality running from militarization to CO 2 emissions, from energy consumption to CO 2 emissions, and from militarization to energy consumption all without a feedback was found. Further, the results determined that 26% of the forecast-error variance of CO 2 emissions was explained by the forecast error variance of militarization and 60% by energy consumption.

  7. Energy consumption, economic growth and prices: A reassessment using panel VECM for developed and developing countries

    International Nuclear Information System (INIS)

    Mahadevan, Renuka; Asafu-Adjaye, John

    2007-01-01

    This paper reinvestigates the energy consumption-GDP growth nexus in a panel error correction model using data on 20 net energy importers and exporters from 1971 to 2002. Among the energy exporters, there was bidirectional causality between economic growth and energy consumption in the developed countries in both the short and long run, while in the developing countries energy consumption stimulates growth only in the short run. The former result is also found for energy importers and the latter result exists only for the developed countries within this category. In addition, compared to the developing countries, the developed countries' elasticity response in terms of economic growth from an increase in energy consumption is larger although its income elasticity is lower and less than unitary. Lastly, the implications for energy policy calling for a more holistic approach are discussed

  8. Energy consumption of mobile communication systems; Energieverbrauch der mobilen Kommunikation - Schlussbericht

    Energy Technology Data Exchange (ETDEWEB)

    Corliano, A.; Hufschmid, M.

    2008-02-15

    This final report for the Swiss Federal Office of Energy (SFOE) reports on a research project that was concerned with the energy consumption of the infrastructure necessary to provide mobile communication services. The measurement and analysis of the energy consumption of the infrastructure was an essential part of this research project. Furthermore, future scenarios and their impact on energy consumption are discussed. The results of the research work are presented and the correlation between power requirements and the data traffic encountered at GSM and UMTS base stations is analysed. Furthermore, measurements that were conducted to determine the power consumption of different network elements are discussed. Finally, alternatives for further action and recommendations for improvements in the energy consumption of such installations are formulated.

  9. Are shocks to renewable energy consumption permanent or temporary? Evidence from 54 developing and developed countries.

    Science.gov (United States)

    Demir, Ender; Gozgor, Giray

    2018-02-01

    The renewable energy sources are considered as the important factor to decrease the level of carbon emissions and to promote the global green economy. Understanding the dynamics of renewable energy consumption, this paper analyzes whether there is a unit root in renewable energy consumption in 54 countries over the period 1971-2016. To this end, the unit root test of Narayan-Popp with two endogenous (unknown) breaks is implemented. The paper finds that renewable energy consumption series are stationary around a level and the time trend in 45 of 54 countries. In other words, renewable energy consumption follows a unit root process only in nine countries: Brazil, China, Colombia, India, Israel, Japan, the Netherlands, Spain, and Turkey. The evidence implies that renewable energy demand policies, which aimed to decrease the carbon emissions, will only have permanent effects in those nine countries.

  10. New Building Principles In Consequence Of Legislative Demands For Reduced Energy Consumption In Danish Housing

    DEFF Research Database (Denmark)

    Jessen, Rasmus Zederkof; Brohus, Henrik; Kirkegaard, Poul Henning

    2006-01-01

    , exemplified with a case study. The case study evaluates different types of design principles of a typical Danish house, especially with respect to choices of materials etc. As the conclusion of this paper will show, unconventional thinking can negate this effect and even bring about new ways of working......The increasing restrictions in coming building codes regarding energy consumption in housing generate a need to rethink the building design as well as the building process. This paper discusses the need to change/challenge the way structures are conceived in order to accommodate new legislative...... demands regarding energy consumption. More often than not sustainable aspects like the need for reduced energy consumption are implemented late in the design process. This paper investigates the affect of incorporating aspects like solar heat gain and energy consumption in the initial concept...

  11. Greenhouse Gas Emissions, Energy Consumption and Economic Growth: A Panel Cointegration Analysis for 16 Asian Countries

    Directory of Open Access Journals (Sweden)

    Wen-Cheng Lu

    2017-11-01

    Full Text Available This research investigates the co-movement and causality relationships between greenhouse gas emissions, energy consumption and economic growth for 16 Asian countries over the period 1990–2012. The empirical findings suggest that in the long run, bidirectional Granger causality between energy consumption, GDP and greenhouse gas emissions and between GDP, greenhouse gas emissions and energy consumption is established. A non-linear, quadratic relationship is revealed between greenhouse gas emissions, energy consumption and economic growth, consistent with the environmental Kuznets curve for these 16 Asian countries and a subsample of the Asian new industrial economy. Short-run relationships are regionally specific across the Asian continent. From the viewpoint of energy policy in Asia, various governments support low-carbon or renewable energy use and are reducing fossil fuel combustion to sustain economic growth, but in some countries, evidence suggests that energy conservation might only be marginal.

  12. Effect of tube diameter on the specific energy consumption of the ice making process

    International Nuclear Information System (INIS)

    Tangthieng, C.

    2011-01-01

    One of the favorite forms of ice for consuming is tube ice, which is produced by a refrigeration unit referred to as an ice making tower. In order to redesign the tower for the energy-efficiency purpose, the aim of this paper is to numerically investigate the effect of tube diameter on the ice thickness, the cooling load, and the specific energy consumption. The mathematical model of the ice formation within the tube is developed by assuming unsteady and one-dimensional heat conduction. The governing equations are composed of the wall and the ice regions with the convective boundary condition and isothermal solidification at the interface. The governing system is transformed into a dimensionless form and numerically solved by the finite difference method. The numerical results are validated by comparing the ice thickness obtained from the numerical prediction and that obtained from the field measurement, resulting in qualitative agreement. The variations of ice thickness, cooling load, and specific energy consumption with time for four different tube diameters are presented. The result shows the location of the minimum specific energy consumption as a function of time. By comparing between different tube diameters, the value of the minimum specific energy consumption of a small diameter tube is lower than that of a large diameter one. On the other hand, the behavior of the specific energy consumption of a large diameter tube indicates the existence of a low specific energy consumption period of time beyond the minimum point. Therefore, by choosing a proper tube diameter, the minimum value of the average specific energy consumption over the entire production cycle is obtained, leading to higher energy efficiency. - Research Highlights: → The result indicates the minimum specific energy consumption as a function of time. → A smaller diameter tube has a lower value of the minimum specific energy consumption, but a large one has an extended range of low specific

  13. Power-based electric vehicle energy consumption model: Model development and validation

    International Nuclear Information System (INIS)

    Fiori, Chiara; Ahn, Kyoungho; Rakha, Hesham A.

    2016-01-01

    Highlights: • The study developed an instantaneous energy consumption model (VT-CPEM) for EVs. • The model captures instantaneous braking energy regeneration. • The model can be used for transportation modeling and vehicle applications (e.g. eco-routing). • The proposed model can be easily calibrated using publically available EV data. • Usages of air conditioning and heating systems reduce EV energy consumption by up to 10% and 24%, respectively. - Abstract: The limited drive range (The maximum distance that an EV can travel.) of Electric Vehicles (EVs) is one of the major challenges that EV manufacturers are attempting to overcome. To this end, a simple, accurate, and efficient energy consumption model is needed to develop real-time eco-driving and eco-routing systems that can enhance the energy efficiency of EVs and thus extend their travel range. Although numerous publications have focused on the modeling of EV energy consumption levels, these studies are limited to measuring energy consumption of an EV’s control algorithm, macro-project evaluations, or simplified well-to-wheels analyses. Consequently, this paper addresses this need by developing a simple EV energy model that computes an EV’s instantaneous energy consumption using second-by-second vehicle speed, acceleration and roadway grade data as input variables. In doing so, the model estimates the instantaneous braking energy regeneration. The proposed model can be easily implemented in the following applications: in-vehicle, Smartphone eco-driving, eco-routing and transportation simulation software to quantify the network-wide energy consumption levels for a fleet of EVs. One of the main advantages of EVs is their ability to recover energy while braking using a regenerative braking system. State-of-the-art vehicle energy consumption models consider an average constant regenerative braking energy efficiency or regenerative braking factors that are mainly dependent on the vehicle’s average

  14. PROSPECTS FOR TRANSPORT ENERGY CONSUMPTION: METHODOLOGICAL APPROACHES AND RESULTS OF FORECASTING

    Directory of Open Access Journals (Sweden)

    Eder L.V.

    2016-03-01

    Full Text Available The direction and effectiveness of the using mineral resources, as well as the development trend of the mineral markets, especially energy markets - is one of the central topics of the development of relevant industries. The article discusses the consumption of mineral energy resources in transport with the differentiation by the countries of the world. It proposed to improve the methods of forecasting of energy consumption in the transport sector in the medium and long term. Relevance of the work associated with the leading role of the transport sector in the formation of oil demand in the world. In most developed and developing countries vehicle transport accounts for 60-70% of the total domestic oil consumption. Forecasting of energy demand is particular important to ensure energy security of the countries in the transport sector in the medium and long term. Predicting energy consumption by road vehicles includes two main areas: the forecast of specific energy consumption vehicle and the forecast of the number of cars. The authors examined historical data of specific energy consumption of road vehicle with the differentiation by the countries of Europe and Russia. The analysis revealed a steady decline in energy intensity in most advanced countries. However, this process is different in intensity decrease specific energy consumption and the time of occurrence of the trend. An analysis of the specific energy consumption in the past 25 years has shown that the dynamics of the index most accurately described by an exponential function: the initial stage of reduction of energy consumption is more intensive than in subsequent periods. As a result, the general pattern was derived convergence of energy consumption and the parameters depending on the speed of lowering the energy intensity of its initial value. On basis of trend models and identified reducing energy consumption depending on the speed of its entry-level may carry out the forecast of

  15. Prospects for transport energy consumption: methodological approaches and results of forecasting companies.

    Directory of Open Access Journals (Sweden)

    Nemov V. Yu.

    2016-03-01

    Full Text Available The direction and effectiveness of the using mineral resources, as well as the development trend of the mineral markets, especially energy markets – is one of the central topics of the development of relevant industries. The article discusses the consumption of mineral energy resources in transport with the differentiation by the countries of the world. It proposed to improve the methods of forecasting of energy consumption in the transport sector in the medium and long term. Relevance of the work associated with the leading role of the transport sector in the formation of oil demand in the world. In most developed and developing countries vehicle transport accounts for 60-70% of the total domestic oil consumption. Forecasting of energy demand is particular important to ensure energy security of the countries in the transport sector in the medium and long term. Predicting energy consumption by road vehicles includes two main areas: the forecast of specific energy consumption vehicle and the forecast of the number of cars. The authors examined historical data of specific energy consumption of road vehicle with the differentiation by the countries of Europe and Russia. The analysis revealed a steady decline in energy intensity in most advanced countries. However, this process is different in intensity decrease specific energy consumption and the time of occurrence of the trend. An analysis of the specific energy consumption in the past 25 years has shown that the dynamics of the index most accurately described by an exponential function: the initial stage of reduction of energy consumption is more intensive than in subsequent periods. As a result, the general pattern was derived convergence of energy consumption and the parameters depending on the speed of lowering the energy intensity of its initial value. On basis of trend models and identified reducing energy consumption depending on the speed of its entry-level may carry out the forecast of

  16. 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.

  17. Decomposition analysis of energy consumption for an freeway during its operation period: A case study for Guangdong, China

    International Nuclear Information System (INIS)

    Li, DuoQi; Wang, DuanYi

    2016-01-01

    Freeways have become the main subject of energy conservation reviews in China because of their large energy consumption. Decomposition analysis has been widely applied in energy consumption studies. However, most studies have only analyzed the driving forces of energy consumption on the national level, and seldom at smaller levels, e.g. for departments like toll stations and maintenance centers. Based on the characteristics of the freeway operation period, this paper serves as a preliminary attempt at applying the logarithm mean Divisia index method I on the department level to analyze the energy consumption of freeways during the operation period. To elucidate the evolution of energy consumption during the operational period, the logarithm mean Divisia index analysis was performed to disentangle the energy consumption based on a real case in Guangdong from 2005 to 2013. The analyses establish that the traffic volume influences energy consumption. The results show that some departments can influence the total energy consumption. For example, the tunnels and toll stations are key factors that influence the total energy consumption of the whole road. The decomposition in the departments revealed that energy efficiency improvements caused by the use of alternate materials and energy-saving technologies mainly contributed to energy conservation. - Highlights: • Decomposition model was used to analyze energy consumption of freeway management. • This attempt finds the impact of traffic volume on management energy consumption. • Tunnels and toll stations mainly affect the management energy consumption. • Using alternate materials and energy-saving technology improved energy efficiency.

  18. Does FDI influence renewable energy consumption? An analysis of sectoral FDI impact on renewable and non-renewable industrial energy consumption

    International Nuclear Information System (INIS)

    Doytch, Nadia; Narayan, Seema

    2016-01-01

    This study examines the link between foreign direct investment (FDI) and energy demand. FDI is a source of financing that allows businesses to grow. At the same time, FDI can be a source of innovation that promotes energy efficiency. Existing evidence on the impact of aggregate FDI inflows on energy consumption is scarce and inconclusive. In the current study, we disaggregate FDI inflows into mining, manufacturing, total services, and financial services components and examine the impact of these FDI flows on renewable – and non-renewable industrial energy – sources for 74 countries for the period 1985–2012. We employ a Blundell–Bond dynamic panel estimator to control for endogeneity and omitted variable biases in our panels. The results point broadly to an energy consumption-reducing effect with respect to non-renewable sources of energy and an energy consumption-augmenting effects with respect to renewable energy. We find that these effects vary in magnitude and significance by sectoral FDI. - Highlights: • FDI generally discourages the use of unclean energy. • Economic growth promotes non-renewable energy consumption. • Service FDI save energy and encourage the switch to renewable energy. • Mining FDI to low and lower middle-income panels save energy. • These results are mainly consistent with the FDI halo effect.

  19. The Relationship between Urbanization, Economic Growth and Energy Consumption in China: An Econometric Perspective Analysis

    Directory of Open Access Journals (Sweden)

    Yabo Zhao

    2015-05-01

    Full Text Available As the largest developing country in the world, with rapid economic growth, China has witnessed fast-paced urbanization development over the past three decades. In fact, urbanization has been shown to promote economic growth and improve the livelihood of people, but it can also increase energy consumption and further generate energy crisis. Therefore, a better understanding of the relationship between urbanization, economic growth and energy consumption is important for China’s future sustainable development. This paper empirically investigates the long-term equilibrium relationships, temporal dynamic relationships and causal relationships between urbanization, economic growth and energy consumption in China. Econometric models are utilized taking the period 1980–2012 into consideration. Cointegration tests indicate that the variables are found to be of I(1 and cointegrated. Further, vector error-correction model (VECM indicates that when the short-term fluctuations deviate from the long-term equilibrium, the current changes of energy consumption could eliminate 9.74% non-equilibrium error of the last period, putting back the situation to the equilibrium state through a reverse adjustment. Impulse response analysis intuitively portrays the destabilized changes of the variables in response to some external shocks. However, the impact of energy consumption shock on urbanization and the impact of urbanization on economic growth seem to be rather marginal. Moreover, Granger causality results reveal that there is a bi-directional Granger causal relationship between energy consumption and economic growth, and unidirectional causality running from urbanization to energy consumption and economic growth to urbanization. The findings have important implications for Chinese policymakers that on the path towards a sustainable society, the effects of urbanization and economic growth on energy consumption must be taken into consideration.

  20. Quantitative analysis of the role of biomass within energy consumption in Latin America

    Energy Technology Data Exchange (ETDEWEB)

    Sanchez-Sierra, G.; Umana-Quesada, A.

    1984-01-01

    The majority of the existing studies about biomass energy consumption in Latin America have been qualitative without precisely quantifying the magnitude and distribution of consumption. The present paper is the first effort to quantify the role of biomass within energy consumption in the region. This work is fundamentally based on information which has been processed for the energy balances programme carried out by the Latin American Energy Organization (OLADE). (Refs. 5).

  1. Milking systems and milking robots. Insight in energy consumption; Melksystemen en melkrobots. Inzicht in energiegebruik

    Energy Technology Data Exchange (ETDEWEB)

    Wientjes, H.; Rougoor, C. [DLV Rundvee Advies, Uden (Netherlands)

    2012-03-15

    Insight is given in the energy consumption during milking and how much energy can be saved. The goal is to reduce greenhouse gas emissions, produce renewable energy and the minimization of energy consumption in the dairy industry [Dutch] Inzicht wordt gegeven in het energieverbruik bij de melkwinning en de vraag welke energiebesparing hierbij nog haalbaar is. Het doel is vermindering van de uitstoot van broeikasgassen, productie van duurzame energie en de minimalisatie van het energieverbruik in de melkveehouderij.

  2. Energy consumption and energetic intensities in the Mato Grosso meso-region 01

    International Nuclear Information System (INIS)

    Canavarros, Otacilio Borges; Silva, Ennio Peres da

    1999-01-01

    The energy intensity of a regional economy is dependent on its structure and degree of industrialization. Considering comparable general conditions it is also a measure for the efficient use of energy. Energy consumption contribute decisively to the modification of economical structures and to the decrease in energy intensity. In this context, the aim of the work was to evaluate the energy consumption and the energy intensity in a region of Mato Grosso State, Brazil

  3. Energy consumption and air emissions from domestic transport; Energiforbruk og utslipp til luft fra innenlandsk transport

    Energy Technology Data Exchange (ETDEWEB)

    Toutain, Jun Elin Wiik; Taarneby, Gaute; Selvig, Eivind

    2008-07-01

    Energy for transport purposes account for a growing proportion of our total energy consumption. The increased transport of both people and goods is a consequence of prosperity development in Norway. We travel more, both privately and at work, and good purchasing power means that more goods must be transported from production site to the users' site. In 2006 the energy used to transport was more than a quarter of the total Norwegian energy consumption. (AG)

  4. Dynamic linkages among transport energy consumption, income and CO2 emission in Malaysia

    International Nuclear Information System (INIS)

    Azlina, A.A.; Law, Siong Hook; Nik Mustapha, Nik Hashim

    2014-01-01

    This paper examines the dynamic relationship between income, energy use and carbon dioxide (CO 2 ) emissions in Malaysia using time-series data during 1975 to 2011. This study also attempts to validate the environmental Kuznet curve (EKC) hypothesis. Applying a multivariate model of income, energy consumption in the transportation sector, carbon emissions, structural change in the economy and renewable energy use, the empirical evidence confirmed that there is a long-run relationship between the variables as shown by the result of co-integration analysis. The results indicate that the inverted U-shape EKC hypothesis does not fully agree with the theory. The coefficient of squared GDP is not statistically different from zero. The time duration and the annual data used for the present study do not seem to strongly validate the existence of EKC hypothesis in the case of Malaysia. Causality test shows that the relationship between GDP and CO 2 is unidirectional. The Granger causality test results reveal that emissions Granger-cause income, energy consumption and renewable energy use. Moreover, we find that income Granger-causes energy consumption and renewable energy use, and both structural change and renewable energy use Granger-cause energy consumption in road transportation. - Highlights: • We examine the dynamic relationship among energy consumption in transportation sector, income and CO 2 and also attempts to validate the environmental Kuznet curve (EKC) hypothesis. • We used a multivariate approach based on VECM. • The inverted U-shape EKC hypothesis is not valid in the case of Malaysia. • Uni-directional causality exists from emission to income, energy consumption and renewable energy use. • Income Granger-causes energy consumption and renewable energy use, and both structural change and renewable energy use Granger-cause energy consumption in road transportation

  5. Environmental degradation, economic growth and energy consumption: Evidence of the environmental Kuznets curve in Malaysia

    International Nuclear Information System (INIS)

    Saboori, Behnaz; Sulaiman, Jamalludin

    2013-01-01

    This paper tests for the short and long-run relationship between economic growth, carbon dioxide (CO 2 ) emissions and energy consumption, using the Environmental Kuznets Curve (EKC) by employing both the aggregated and disaggregated energy consumption data in Malaysia for the period 1980–2009. The Autoregressive Distributed Lag (ARDL) methodology and Johansen–Juselius maximum likelihood approach were used to test the cointegration relationship; and the Granger causality test, based on the vector error correction model (VECM), to test for causality. The study does not support an inverted U-shaped relationship (EKC) when aggregated energy consumption data was used. When data was disaggregated based on different energy sources such as oil, coal, gas and electricity, the study does show evidences of the EKC hypothesis. The long-run Granger causality test shows that there is bi-directional causality between economic growth and CO 2 emissions, with coal, gas, electricity and oil consumption. This suggests that decreasing energy consumption such as coal, gas, electricity and oil appears to be an effective way to control CO 2 emissions but simultaneously will hinder economic growth. Thus suitable policies related to the efficient consumption of energy resources and consumption of renewable sources are required. - Highlights: • We investigated the EKC hypothesis by using Malaysian energy aggregated and disaggregated data. • It was found that the EKC is not supported, using the aggregated data (energy consumption). • However using disaggregated energy data (oil, coal and electricity) there is evidence of EKC. • Causality shows no causal relationship between economic growth and energy consumption in the short-run. • Economic growth Granger causes energy consumption and energy consumption causes CO 2 emissions in long-run

  6. A moderate growth of the French energy consumption despite a strong economic growth

    International Nuclear Information System (INIS)

    Anon.

    1999-01-01

    The annual statement of the French energy consumption was performed in the beginning of April. It shows a moderate growth of the consumption except in the transportation sector. This short paper analyzes the results published by the observatory of energy from the general direction of energy and raw materials (DGEMP): growth of the energy consumption, decay of the national production, improvement of the energy efficiency, decay of the energy bill, and the contrasted sectoral results. (J.S.)

  7. Nuclear energy consumption, oil prices, and economic growth: Evidence from highly industrialized countries

    International Nuclear Information System (INIS)

    Lee, Chien-Chiang; Chiu, Yi-Bin

    2011-01-01

    This study utilizes the Johansen cointegration technique, the Granger non-causality test of Toda and Yamamoto (1995), the generalized impulse response function, and the generalized forecast error variance decomposition to examine the dynamic interrelationship among nuclear energy consumption, real oil price, oil consumption, and real income in six highly industrialized countries for the period 1965-2008. Our empirical results indicate that the relationships between nuclear energy consumption and oil are as substitutes in the U.S. and Canada, while they are complementary in France, Japan, and the U.K. Second, the long-run income elasticity of nuclear energy is larger than one, indicating that nuclear energy is a luxury good. Third, the results of the Granger causality test find evidence of unidirectional causality running from real income to nuclear energy consumption in Japan. A bidirectional relationship appears in Canada, Germany and the U.K., while no causality exists in France and the U.S. We also find evidence of causality running from real oil price to nuclear energy consumption, except for the U.S., and causality running from oil consumption to nuclear energy consumption in Canada, Japan, and the U.K., suggesting that changes in price and consumption of oil influence nuclear energy consumption. Finally, the results observe transitory initial impacts of innovations in real income and oil consumption on nuclear energy consumption. In the long run the impact of real oil price is relatively larger compared with that of real income on nuclear energy consumption in Canada, Germany, Japan, and the U.S.

  8. Optimal modeling and forecasting of the energy consumption and production in China

    International Nuclear Information System (INIS)

    Xiong, Ping-ping; Dang, Yao-guo; Yao, Tian-xiang; Wang, Zheng-xin

    2014-01-01

    Energy is of fundamental importance to a nation's economy. Accurate prediction of the energy consumption and production in China can play a guiding role in making the energy consumption plan, and facilitate timely and effective decision making of energy policy. This article proposes a novel GM (gray model) (1,1) model based on optimizing initial condition according to the principle of new information priority. The optimized model and five other GM (1,1) models are applied in the modeling of China's energy consumption and production. Both the simulation and prediction accuracy of the models are compared and analyzed. We obtain the result that the optimized model has higher prediction accuracy than the other five models. Therefore, the presented optimized model is further utilized to predict China's energy consumption and production from 2013 to 2017. The result indicates that China's energy consumption and production will keep increasing and the gap between the energy production and consumption will also be increasing. Finally, we predict Iran's and Argentina's energy consumption to further prove the effectiveness of the proposed model. - Highlights: • We proposed a novel GM (1,1) model based on optimizing initial condition. • The prediction accuracy of the proposed model is better than the other models. • We used the proposed model to predict China's energy consumption and production. • The proposed model can be used to predict other countries' energy consumption

  9. Analysis of energy consumption in lowland rice-based cropping system of Malaysia

    Directory of Open Access Journals (Sweden)

    Chan Chee Wan

    2005-07-01

    Full Text Available Sufficient energy is needed in the right form and at the right time for adequate crop production. One way to optimize energy consumption in agriculture is to determine the efficiency of methods and techniques used. With the current increase in world population, energy consumption needs effective planning. That is, the input elements need to be identified in order to prescribe the most efficient methods for controlling them. This study was undertaken in order to determine the direct and indirect energy consumption of field operations in a lowland rice production system of Malaysia. Field time, fuel and other energy requirements were measured for the tillage, planting, fertilizing, spraying and harvesting operations performed. Energy analysis carried out revealed the highest average operational energy consumption was for tillage (1747.33 MJ ha-1 which accounted for about 48.6% of the total operational energy consumption (3595.87 MJ ha-1, followed by harvesting (1171.44 MJ ha-1, 32.6% and planting (562.91 MJ ha-1, 15.7%. Fertilizing and pesticide spraying did not make any significant contributions to the operational energy consumption. Based on energy sources, fuel was the main consumer of direct energy with 2717.82 MJha-1 (22.2%, and fertilizer recording the highest indirect energy consumption of 7721.03 MJha-1 (63.2%. Human labour, pesticides, seeds and indirect energy for machinery use had marginal importance, contributing only 0.2%, 0.6%, 6.8% and 6.9%, respectively to the total energy consumption (12225.97 MJha-1. Average grain yield was 6470.8 kg ha-1, representing energy output of 108321.75 MJha-1, that is, 96095.78 MJ net energy gain or 8.86 MJ output per MJ input. Energy input per kilogram grain yield was 1.89 MJkg-1. The results of the study indicate energy gain in the lowland rice production system of Malaysia.

  10. Domestic energy consumption patterns in Uttara Kannada District, Karnataka State, India

    Energy Technology Data Exchange (ETDEWEB)

    Ramachandra, T.V.; Subramanian, D.K.; Joshi, N.V.; Gunaga, S.V.; Harikantra, R.B. [Indian Institute of Science, Bangalore (India). Centre for Ecological Sciences

    2000-05-01

    Energy planning of any region should be based on existing levels of energy consumption. Sectorwise disaggregated information of energy usage is developed for the Uttara Kannada District to assist in the regional energy planning exercise. This paper provides comparative analyses of village level domestic energy consumption patterns across coastal, interior, hilly and plain zones considering regional and seasonal variations. Cooking, water heating and space heating are the major end use activities. The results, based on eighteen months of field research in five taluks of Uttara Kannada, reveal that the average energy consumption norm does vary significantly for cooking and water heating in various seasons across the zones. Among the five taluks, 90 villages (out of 119) and all divisions of Kumta town in the Kumta taluk and 190-220 randomly selected households in selected villages of Sirsi, Mundgod, Siddapur and Ankola were studied. A survey of 1304 households from 90 villages in the Kumta taluk shows that most of them still use traditional stoves for cooking (97.92%) and water heating (98.3%). Average consumption (kg/ person/day) for cooking ranges from 2.01 {+-} 1.49 (coastal) to 2.32 {+-} 2.09 (hilly). Seasonwise cooking fuel wood requirement for coast and hilly zones, ranges from 1.98 and 2.22 (summer) to 2.11 and 2.51 (monsoon), respectively, while for water heating (for bath and washing), it ranges from 1. 17 {+-} 0.02 (coast) to 1.63 + 0.05 (hilly). Seasonal variation is evident from the range 1.12 and 1.53 (summer) to 1.22 and 1.73 (monsoon) for coastal and hilly zones, respectively. Analysis of other sources of energy for domestic purposes shows that kerosene is used for cooking and lighting in the coast. Kerosene consumption (I/person/month) for cooking ranges from 0.05 (hilly) to 0.34 (coast) and for lighting ranges from 0.75 (coast) to 0.99 (hilly). Availability of bioresources in hilly zone is the main reason for less consumption of kerosene for cooking

  11. Greek long-term energy consumption prediction using artificial neural networks

    International Nuclear Information System (INIS)

    In this paper artificial neural networks (ANN) are addressed in order the Greek long-term energy consumption to be predicted. The multilayer perceptron model (MLP) has been used for this purpose by testing several possible architectures in order to be selected the one with the best generalizing ability. Actual recorded input and output data that influence long-term energy consumption were used in the training, validation and testing process. The developed ANN model is used for the prediction of 2005-2008, 2010, 2012 and 2015 Greek energy consumption. The produced ANN results for years 2005-2008 were compared with the results produced by a linear regression method, a support vector machine method and with real energy consumption records showing a great accuracy. The proposed approach can be useful in the effective implementation of energy policies, since accurate predictions of energy consumption affect the capital investment, the environmental quality, the revenue analysis, the market research management, while conserve at the same time the supply security. Furthermore it constitutes an accurate tool for the Greek long-term energy consumption prediction problem, which up today has not been faced effectively.

  12. Bounds test approach to cointegration and causality between nuclear energy consumption and economic growth in India

    International Nuclear Information System (INIS)

    Wolde-Rufael, Yemane

    2010-01-01

    This paper attempts to examine the dynamic relationship between economic growth, nuclear energy consumption, labor and capital for India for the period 1969-2006. Applying the bounds test approach to cointegration developed by we find that there was a short- and a long-run relationship between nuclear energy consumption and economic growth. Using four long-run estimators we also found that nuclear energy consumption has a positive and a statistically significant impact on India's economic growth. Further, applying the approach to Granger causality and the variance decomposition approach developed by , we found a positive and a significant uni-directional causality running from nuclear energy consumption to economic growth without feedback. This implies that economic growth in India is dependent on nuclear energy consumption where a decrease in nuclear energy consumption may lead to a decrease in real income. For a fast growing energy-dependent economy this may have far-reaching implications for economic growth. India's economic growth can be frustrated if energy conservation measures are undertaken without due regard to the negative impact they have on economic growth.

  13. A Novel Clustering Model Based on Set Pair Analysis for the Energy Consumption Forecast in China

    Directory of Open Access Journals (Sweden)

    Mingwu Wang

    2014-01-01

    Full Text Available The energy consumption forecast is important for the decision-making of national economic and energy policies. But it is a complex and uncertainty system problem affected by the outer environment and various uncertainty factors. Herein, a novel clustering model based on set pair analysis (SPA was introduced to analyze and predict energy consumption. The annual dynamic relative indicator (DRI of historical energy consumption was adopted to conduct a cluster analysis with Fisher’s optimal partition method. Combined with indicator weights, group centroids of DRIs for influence factors were transferred into aggregating connection numbers in order to interpret uncertainty by identity-discrepancy-contrary (IDC analysis. Moreover, a forecasting model based on similarity to group centroid was discussed to forecast energy consumption of a certain year on the basis of measured values of influence factors. Finally, a case study predicting China’s future energy consumption as well as comparison with the grey method was conducted to confirm the reliability and validity of the model. The results indicate that the method presented here is more feasible and easier to use and can interpret certainty and uncertainty of development speed of energy consumption and influence factors as a whole.

  14. Energy consumption and economic growth in China: A multivariate causality test

    Energy Technology Data Exchange (ETDEWEB)

    Wang Yuan, E-mail: ywang@nju.edu.cn [State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210093 (China); Wang Yichen; Zhou Jing; Zhu Xiaodong; Lu Genfa [State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210093 (China)

    2011-07-15

    This study takes a fresh look at the direction of causality between energy consumption and economic growth in China during the period from 1972 to 2006, using a multivariate cointegration approach. Given the weakness associated with the bivariate causality framework, the current study performs a multivariate causality framework by incorporating capital and labor variables into the model between energy consumption and economic growth based on neo-classical aggregate production theory. Using the recently developed autoregressive distributed lag (ARDL) bounds testing approach, a long-run equilibrium cointegration relationship has been found to exist between economic growth and the explanatory variables: energy consumption, capital and employment. Empirical results reveal that the long-run parameter of energy consumption on economic growth in China is approximately 0.15, through a long-run static solution of the estimated ARDL model, and that for the short-run is approximately 0.12 by the error correction model. The study also indicates the existence of short-run and long-run causality running from energy consumption, capital and employment to economic growth. The estimation results imply that energy serves as an important source of economic growth, thus more vigorous energy use and economic development strategies should be adopted for China. - Highlights: > Cointegration is only present when real GDP is the dependent variable. >The long-run causality running from energy consumption to economic growth. >China is an energy dependent economy.

  15. Impact of Window Films on the Overall Energy Consumption of Existing UK Hotel Buildings

    Directory of Open Access Journals (Sweden)

    Ali Bahadori-Jahromi

    2017-05-01

    Full Text Available Recently, considerable attention has justifiably been directed towards energy savings in buildings as they account for up to 20–40% of total energy consumption in developed countries. In the United Kingdom, studies have revealed that buildings’ CO2 emissions for account for at least 43% of total emissions. Window panels are a major component of the building fabric with considerable influence on the façade energy performance and are accountable for up to 60% of a building’s overall energy loss. Therefore, the thermal performance of glazing materials is an important issue within the built environment. This work evaluates the impact of solar window films on the overall energy consumption of an existing commercial building via the use of a case study U.K. hotel and TAS dynamic simulation software. The study results demonstrated that the impact of window films on the overall energy consumption of the case study hotel is approximately 2%. However, an evaluation of various overall energy consumption components showed that the window films reduce the annual total cooling energy consumption by up to 35% along with a marginal 2% increase in the annual total heating energy consumption. They can also provide overall cost and CO2 emissions savings of up to 3%.

  16. Input-Output Modeling for Urban Energy Consumption in Beijing: Dynamics and Comparison

    Science.gov (United States)

    Zhang, Lixiao; Hu, Qiuhong; Zhang, Fan

    2014-01-01

    Input-output analysis has been proven to be a powerful instrument for estimating embodied (direct plus indirect) energy usage through economic sectors. Using 9 economic input-output tables of years 1987, 1990, 1992, 1995, 1997, 2000, 2002, 2005, and 2007, this paper analyzes energy flows for the entire city of Beijing and its 30 economic sectors, respectively. Results show that the embodied energy consumption of Beijing increased from 38.85 million tonnes of coal equivalent (Mtce) to 206.2 Mtce over the past twenty years of rapid urbanization; the share of indirect energy consumption in total energy consumption increased from 48% to 76%, suggesting the transition of Beijing from a production-based and manufacturing-dominated economy to a consumption-based and service-dominated economy. Real estate development has shown to be a major driving factor of the growth in indirect energy consumption. The boom and bust of construction activities have been strongly correlated with the increase and decrease of system-side indirect energy consumption. Traditional heavy industries remain the most energy-intensive sectors in the economy. However, the transportation and service sectors have contributed most to the rapid increase in overall energy consumption. The analyses in this paper demonstrate that a system-wide approach such as that based on input-output model can be a useful tool for robust energy policy making. PMID:24595199

  17. Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach

    International Nuclear Information System (INIS)

    Odhiambo, Nicholas M.

    2009-01-01

    In this paper, we examine the intertemporal causal relationship between energy consumption and economic growth in Tanzania during the period of 1971-2006. Unlike the majority of the previous studies, we employ the newly developed autoregressive distributed lag (ARDL)-bounds testing approach by Pesaran et al. [2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16, 289-326] to examine this linkage. We also use two proxies of energy consumption, namely total energy consumption per capita and electricity consumption per capita. The results of the bounds test show that there is a stable long-run relationship between each of the proxies of energy consumption and economic growth. The results of the causality test, on the other hand, show that there is a unidirectional causal flow from total energy consumption to economic growth and a prima-facie causal flow from electricity consumption to economic growth. Overall, the study finds that energy consumption spurs economic growth in Tanzania

  18. Oil prices, nuclear energy consumption, and economic growth: New evidence using a heterogeneous panel analysis

    International Nuclear Information System (INIS)

    Lee, Chien-Chiang; Chiu, Yi-Bin

    2011-01-01

    This paper applies panel data analysis to examine the short-run dynamics and long-run equilibrium relationships among nuclear energy consumption, oil prices, oil consumption, and economic growth for developed countries covering the period 1971-2006. The panel cointegration results show that in the long run, oil prices have a positive impact on nuclear energy consumption, suggesting the existence of the substitution relationship between nuclear energy and oil. The long-run elasticity of nuclear energy with respect to real income is approximately 0.89, and real income has a greater impact on nuclear energy than do oil prices in the long run. Furthermore, the panel causality results find evidence of unidirectional causality running from oil prices and economic growth to nuclear energy consumption in the long run, while there is no causality between nuclear energy consumption and economic growth in the short run. - Research highlights: → We examine the relationship among nuclear energy consumption, oil prices, oil consumption, and economic growth for developed countries. → The existence of the substitution relationship between nuclear energy and oil. → Real income has a greater impact on nuclear energy than do oil prices in the long run. → An unidirectional causality running from oil prices and economic growth to nuclear energy consumption in the long run.

  19. Energy consumption and economic growth in China: A multivariate causality test

    International Nuclear Information System (INIS)

    Wang Yuan; Wang Yichen; Zhou Jing; Zhu Xiaodong; Lu Genfa

    2011-01-01

    This study takes a fresh look at the direction of causality between energy consumption and economic growth in China during the period from 1972 to 2006, using a multivariate cointegration approach. Given the weakness associated with the bivariate causality framework, the current study performs a multivariate causality framework by incorporating capital and labor variables into the model between energy consumption and economic growth based on neo-classical aggregate production theory. Using the recently developed autoregressive distributed lag (ARDL) bounds testing approach, a long-run equilibrium cointegration relationship has been found to exist between economic growth and the explanatory variables: energy consumption, capital and employment. Empirical results reveal that the long-run parameter of energy consumption on economic growth in China is approximately 0.15, through a long-run static solution of the estimated ARDL model, and that for the short-run is approximately 0.12 by the error correction model. The study also indicates the existence of short-run and long-run causality running from energy consumption, capital and employment to economic growth. The estimation results imply that energy serves as an important source of economic growth, thus more vigorous energy use and economic development strategies should be adopted for China. - Highlights: → Cointegration is only present when real GDP is the dependent variable. →The long-run causality running from energy consumption to economic growth. →China is an energy dependent economy.

  20. Does financial development increase energy consumption? The role of industrialization and urbanization in Tunisia

    International Nuclear Information System (INIS)

    Shahbaz, Muhammad; Lean, Hooi Hooi

    2012-01-01

    This paper assesses the relationship among energy consumption, financial development, economic growth, industrialization and urbanization in Tunisia from 1971 to 2008. The autoregressive distributed lag bounds testing approach to cointegration and Granger causality tests is employed for the analysis. The result confirms the existence of long-run relationship among energy consumption, economic growth, financial development, industrialization and urbanization in Tunisia. Long-run bidirectional causalities are found between financial development and energy consumption, financial development and industrialization, and industrialization and energy consumption. Hence, sound and developed financial system that can attract investors, boost the stock market and improve the efficiency of economic activities should be encouraged in the country. Nevertheless, promoting industrialization and urbanization can never be left out from the process of development. We add light to policy makers with the role of financial development, industrialization and urbanization in the process of economic development. - Highlights: ► We find the existence of long-run relationship among variables. ► Financial development is positively related to energy consumption. ► Bidirectional causal relationship between financial development and energy consumption. ► Sound and developed financial system should be encouraged.

  1. Measurement of power and energy consumption of a competition-mobile-robot

    Directory of Open Access Journals (Sweden)

    Tsung Tsing-Tshih

    2017-01-01

    Full Text Available Power and energy consumption are the two most important factors for successful operation; they also play important roles in performance identification. The measurement of power and energy consumption is a common test in the development process of a competition mobile robot. If the power of a competition mobile robot is not sufficient, the running time in the competition will be too long and winning the competition will not be possible. Thus, the power and energy consumption are basic and important measurement parameters for a competition mobile robot. In this paper, five types of hand-made competition mobile robots are successfully developed and their performances are measured. From the measurements, their powers and energy consumptions are evaluated and analyzed, respectively. The test results show large differences in the powers and energy consumptions of the five models, even though the same motors were used. The design and construction of the competition mobile robot are the key parameters that cause these huge differences. It is possible to develop the measurement techniques for power and energy consumption, quickly and precisely, to determine how to modify a competition mobile robot rapidly and efficiently to a condition optimal for a mobile robot competition.

  2. Energy Consumption Series: Assessment of energy use in multibuilding facilities

    Energy Technology Data Exchange (ETDEWEB)

    1993-08-01

    This study originally had two primary objectives: (1) to improve EIA`s estimates of district heat consumption for commercial buildings in the CBECS sample that lacked individual metering and (2) to provide a basis for estimating primary fuel consumption by central plants serving commercial buildings. These objectives were expanded to include additional questions relating to these central plants. Background information is provided on the CBECS and on district heating and cooling, which is the most important type of energy-related service provided by multibuilding facilities with central physical plants. Chapters 2 and 3 present data results on multibuilding facilities from the 1989 CBECS and the pilot Facility Survey. Chapter 2 presents the characteristics of multibuilding facilities and the individual buildings located on these facilities. Chapter 3 provides estimates of energy inputs and outputs of multibuilding facilities with central physical plants. Chapter 4 assesses the quality of the pilot Facility Survey and includes recommendations for future work in this area. The appendices provide more detailed information on the Facility Survey itself, in particular the limitations on the use of these results. Appendix B, ``Data Quality``, provides detailed information relating to the limitations of the data and the conclusions presented in this report. As a pilot study, the 1989 Facility Survey has some serious flaws and limitations which are recognized in this report.

  3. China vs. USA: energy consumption of the two giants markets in 2010. Very strong growth in energy consumption in China and USA in 2010 which is well beyond the pre-crisis trend; this allows anticipation of a very strong global growth in 2010; China surpasses 10% of U.S.A's Energy consumption in 2010 - March 2011

    International Nuclear Information System (INIS)

    Lapillonne, Bruno

    2011-01-01

    Enerdata compares 2010 energy consumption between China and USA: China surpasses 10% of U.S.A's Energy consumption in 2010; Very strong growth in energy consumption in China and USA in 2010 which is well beyond the pre-crisis trend; this allows anticipation of a very strong global growth in 2010. (authors)

  4. Energy Impacts of Envelope Tightening and Mechanical Ventilation for the U.S. Residential Sector

    Energy Technology Data Exchange (ETDEWEB)

    Logue, J. M. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sherman, M. H. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Walker, I. S. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Singer, B. C. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2013-01-01

    Effective residential envelope air sealing reduces infiltration and associated energy costs for thermal conditioning, yet often creates a need for mechanical ventilation to protect indoor air quality. This study estimated the potential energy savings of implementing airtightness improvements or absolute standards along with mechanical ventilation throughout the U.S. housing stock. We used a physics-based modeling framework to simulate the impact of envelope tightening, providing mechanical ventilation as needed. There are 113 million homes in the US. We calculated the change in energy demand for each home in a nationally representative sample of 50,000 virtual homes developed from the 2009 Residential Energy Consumption Survey. Ventilation was provided as required by 2010 and proposed 2013 versions of ASHRAE Standard 62.2. Ensuring that all current homes comply with 62.2-2010 would increase residential site energy demand by 0.07 quads (0.07 exajoules (EJ)) annually. Improving airtightness of all homes at current average retrofit performance levels would decrease demand by 0.7 quads (0.74 EJ) annually and upgrading all homes to be as airtight as the top 10% of similar homes would double the savings, leading to roughly $22 billion in annual savings in energy bills. We also analyzed the potential benefits of bringing the entire stock to airtightness specifications of IECC 2012, Canada's R2000, and Passive House standards.

  5. Motorized transport in the city area of Besancon and its impact on energy consumption; Les deplacements motorises dans l`agglomeration bisontine et leurs consequences energetiques

    Energy Technology Data Exchange (ETDEWEB)

    Abram, G.

    1995-12-31

    Energy consumption, pollutant emissions and environmental burdens due to motor traffic in the city area of Besancon has been determined by statistics, counting and sample surveys. A computer model has been developed to simulate the impact of different elements and policy measures as the development of public transport systems, traffic regulation, limiting the accessibility of certain areas and car pooling. (C.B.) 101 refs.

  6. A Quantitative and Systematic Methodology to Investigate Energy Consumption Issues in Multimodal Intercity Transportation Systems

    Directory of Open Access Journals (Sweden)

    Lili Du

    2015-09-01

    Full Text Available Energy issues in transportation systems have garnered increasing attention recently. This study proposes a systematic methodology for policy-makers to minimize energy consumption in multimodal intercity transportation systems considering suppliers’ operational constraints and travelers’ mobility requirements. A bi-level optimization model is developed for this purpose and considers the air, rail, private auto, and transit modes. The upper-level model is a mixed integer nonlinear program aiming to minimize energy consumption subject to transportation suppliers’ operational constraints and traffic demand distribution to paths resulting from the lower-level model. The lower-level model is a linear program seeking to maximize the trip utilities of travelers. The interactions between the multimodal transportation suppliers and intercity traffic demand are considered under the goal of minimizing system energy consumption. The proposed bi-level mixed integer model is relaxed and transformed into a mathematical program with complementarity constraints, and solved using a customized branch-and-bound algorithm. Numerical experiments, conducted using multimodal travel options between Lafayette, Indiana and Washington, D.C. reiterate that shifting traffic demand from private cars to the transit and rail modes significantly reduce energy consumption. Moreover, the proposed methodology provides tools to quantitatively analyze system energy consumption and traffic demand distribution among transportation modes under specific policy instruments. The results illustrate the need to systematically incorporate the interactions among traveler preferences, network structure, and supplier operational schemes to provide policy-makers insights for developing traffic demand shift mechanisms to minimize system energy consumption. Hence, the proposed methodology provide policy-makers the capability to analyze energy consumption in the transportation sector by a

  7. The Factors Influencing Transport Energy Consumption in Urban Areas: a Review