WorldWideScience

Sample records for residential electricity consumption

  1. Residential Electricity Consumption in Poland

    Directory of Open Access Journals (Sweden)

    Edyta Ropuszyńska-Surma

    2016-01-01

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

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

    OpenAIRE

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

    2014-01-01

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

  3. A hybrid society model for simulating residential electricity consumption

    Energy Technology Data Exchange (ETDEWEB)

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

    2008-12-15

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

  4. A hybrid society model for simulating residential electricity consumption

    International Nuclear Information System (INIS)

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

    2008-01-01

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

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

    International Nuclear Information System (INIS)

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

    2012-01-01

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

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

    International Nuclear Information System (INIS)

    Craig, Christopher A.; Feng, Song

    2017-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Yanan Liu

    2016-10-01

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

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

    International Nuclear Information System (INIS)

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

    2011-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-05-15

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

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

    International Nuclear Information System (INIS)

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

    2012-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Wai-Ming To

    2017-06-01

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

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

    Science.gov (United States)

    Sakai, Mihoko

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2017-01-01

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

  14. 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

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

    International Nuclear Information System (INIS)

    Kipping, A.; Trømborg, E.

    2017-01-01

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

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

    International Nuclear Information System (INIS)

    Castro-Rodriguez, F.

    1999-01-01

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

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

    International Nuclear Information System (INIS)

    Gabreyohannes, Emmanuel

    2010-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-05-15

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

  19. Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities

    International Nuclear Information System (INIS)

    Narayan, Paresh Kumar; Smyth, Russell; Prasad, Arti

    2007-01-01

    This article applies recently developed panel unit root and panel cointegration techniques to estimate the long-run and short-run income and price elasticities for residential demand for electricity in G7 countries. The panel results indicate that in the long-run residential demand for electricity is price elastic and income inelastic. The study concludes that from an environmental perspective there is potential to use pricing policies in the G7 countries to curtail residential electricity demand, and thus curb carbon emissions, in the long run. (author)

  20. Assessing incentive contracts for reducing residential electricity consumption: new experimental methods for new results

    International Nuclear Information System (INIS)

    Frachet, Laure

    2013-01-01

    Facing economic, political and environmental stakes, electricity providers are nowadays developing incentive tools, in order to reduce consumer's demand, particularly during peak demand periods. For residential customers, these tools can be tariffs (dynamic pricing of time-of-use tariffs), or informative devices or services (feedbacks on historical or real-time consumption, given on various media). They might go along with automation systems that can help cutting of some electric devices when needed. In order to evaluate the capacity of these settings among their customers, electricity utilities are developing quite a few studies, which are mainly field experiment often called pilots. During these pilots, demand response tools are implemented on a population sample. These long and expensive studies lid to quantitative and qualitative analysis. We have compiled about 40 of them and extract from this survey some generalizable teachings. We have shown what these results were and highlighted pilot programs' methodological limits. In order to propose a substitute to these heavy experimentations, we assessed the capacity or experimental economics. This relatively new discipline's objective is to evaluation the efficiency of institutions, like markets, but also to study what animate economic agents' behaviour, e.g. preferences, beliefs, cognitive biases, willingness to pay... We were also able to elaborate an experimental protocol dedicated to the evaluation of some demand response contracts' acceptability. The results collected during 14 experimental sessions gave us some innovative clues and insight on these contracts acceptability. But, beyond these results, we have demonstrated that even if experimental economics can't obviously be a substitute for field experiments, it can represent an interesting exploratory methodology. To sum up the experimental economics can take part of residential customers' behaviour understanding, performing

  1. Consumption of electric power for space heating of residential buildings and other premises

    International Nuclear Information System (INIS)

    Sandberg, E.; Westerlund, R.

    1986-10-01

    The analysis comprises power consumption to 1989 and to 1997 using different energy prices. The effects of oil prices on consumption has been calculated. The level of the consumption of electric power of the year 1989 is estimated to be 2-3 TWh higher than the level of 1997. This is because of not yet accomplished economizing measures and relatively new installations

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

    Science.gov (United States)

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

    2018-05-05

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

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

    Science.gov (United States)

    Stephenson, Beth A.

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

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

    International Nuclear Information System (INIS)

    Kavousian, Amir; Rajagopal, Ram; Fischer, Martin

    2013-01-01

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

  5. Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014

    Science.gov (United States)

    Makonin, Stephen; Ellert, Bradley; Bajić, Ivan V.; Popowich, Fred

    2016-06-01

    With the cost of consuming resources increasing (both economically and ecologically), homeowners need to find ways to curb consumption. The Almanac of Minutely Power dataset Version 2 (AMPds2) has been released to help computational sustainability researchers, power and energy engineers, building scientists and technologists, utility companies, and eco-feedback researchers test their models, systems, algorithms, or prototypes on real house data. In the vast majority of cases, real-world datasets lead to more accurate models and algorithms. AMPds2 is the first dataset to capture all three main types of consumption (electricity, water, and natural gas) over a long period of time (2 years) and provide 11 measurement characteristics for electricity. No other such datasets from Canada exist. Each meter has 730 days of captured data. We also include environmental and utility billing data for cost analysis. AMPds2 data has been pre-cleaned to provide for consistent and comparable accuracy results amongst different researchers and machine learning algorithms.

  6. Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response

    Directory of Open Access Journals (Sweden)

    Fei Wang

    2018-03-01

    Full Text Available Considering the limitations of traditional energy-saving policies, a kind of energy conservation method called the Information Feedback to Residential Electricity Load Customers, which could impact the demand response capacity, has increasingly received more attention. However, most of the current feedback programs provide the same feedback information to all customers regardless of their diverse characteristics, which may reduce the energy-saving effects or even backfire. This paper attempts to investigate how different types of customers may change their behaviors under a set of customized feedback. We conducted a field survey study in Qinhuangdao (QHD, China. First, we conducted semi-structured interviews to classify four groups of customers of different energy-saving awareness, energy-saving potential, and behavioral variability. Then, 156 QHD households were surveyed using scenarios to collect feedback of different scenarios. Social science theories were used to guide the discussion on the behavior changes as a result of different feedback strategies and reveal the reasons for customers’ behaviors. Using the Chi-Square test of independence, the variables that have strong correlations with the categories of residents are extracted to provide references for residents’ classification. Finally, the practical implications and needs for future research are discussed.

  7. Residential electricity demand in Singapore

    International Nuclear Information System (INIS)

    Ang, B.W.; Goh, T.N.; Liu, X.Q.

    1992-01-01

    Residential electricity consumption in Singapore increased at a rate of 8.8% per year between 1972 and 1990. Estimates of the long-run income and price elasticities are 1.0 and -0.35, respectively. The energy-conservation campaigns that have been launched are found to have marginal effects on consumption. A statistical analysis shows that the consumption is sensitive to small changes in climatic variables, particularly the temperature, which is closely linked to the growing diffusion of electric appliances for environmental controls. There has been a temporal increase in the ownership levels of appliances associated with increasing household incomes. However, other factors were involved since the ownership levels would also increase over time after the elimination of the income effect. A large part of the future growth in electricity demand will arise from the growing need for air-conditioning, which will lead to increasingly large seasonal variations in electricity use. (author)

  8. Forecasting residential electricity demand in provincial China.

    Science.gov (United States)

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

    2017-03-01

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

  9. Information v. energy efficiency incentives: Evidence from residential electricity consumption in Maryland

    International Nuclear Information System (INIS)

    Alberini, Anna; Towe, Charles

    2015-01-01

    We focus on two utility programs intended to reduce energy usage and the associated CO2 emissions—a home energy audit and rebates on the purchase of high-efficiency air-source heat pumps. We use a unique panel dataset from participating and non-participating households to estimate the average treatment effect of participating in either program on electricity usage. We fit models with household-by-season, season-by-year, and household-by-year fixed effects to account for all possible confounders that might influence energy usage. Since the programs are voluntary, we seek to restore near-exogeneity of the program “treatment” by matching participating households with control households. We deploy coarsened exact matching (CEM; Iacus et al., 2011) as our main matching method. We ask whether it is sufficient to match households based on past electricity usage, or if we gain by adding structural characteristics of the home, including heating system type. We find that the two programs reduce electricity usage by 5% on average. The effects are strong in both winter and summer for the energy audit groups but appear to be stronger in the winter for the heat pump rebate group. Adding house characteristics to the matching variables does seem to affect results, suggesting that using past usage alone, or house characteristics alone, may not be sufficient to identify the effects of program participation.

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

    DEFF Research Database (Denmark)

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

    2017-01-01

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

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

    International Nuclear Information System (INIS)

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

    2017-01-01

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

  12. Agent-based model for electricity consumption and storage to evaluate economic viability of tariff arbitrage for residential sector demand response

    International Nuclear Information System (INIS)

    Zheng, Menglian; Meinrenken, Christoph J.; Lackner, Klaus S.

    2014-01-01

    Highlights: • Storage-based demand response (loadshifting) is underutilized in residential sector. • Economics (arbitrage savings versus equipment cost) are not well understood. • Stochastic demand models and real-life tariffs can illuminate economic viability. • A range of available storage options provide economically viable DR. • Daily/seasonal stochastic demand variations crucial to understanding optimum capacity. - Abstract: Demand response (DR) is one of many approaches to address temporal mismatches in demand and supply of grid electricity. More common in the commercial sector, DR usually refers to reducing consumption at certain hours or seasons, thus reducing peak demand from the grid. In the residential sector, where sophisticated appliance-level controls such as automatic dimming of lights or on-demand lowering of air conditioning are less common, building-based electricity storage to shift grid consumption from peak to off-peak times could provide DR without requiring consumers to operate their appliances on shifted or reduced schedules: Storage would be dispatched to appliances as needed while still shaving peaks on the grid. Technologically, storage and two-way-inverters are readily available to enable such residential DR. Economically, however, the situation is less clear. Specifically, are time-varying electricity tariffs available such that electricity cost reduction via arbitrage could offset manufacturing, financing, and installation costs of the required storage? To address this question we (i) devise an agent-based appliance-level stochastic model to simulate the electricity demand of an average U.S. household; (ii) loadshift the demand via simple dispatch strategies; and (iii) determine potential profits to the building owner, i.e. reduced electricity cost of the modified demand with realistic tariffs (Con Edison, NY) minus storage cost. We determine the economic viability for a range of traditional and advanced storage technologies

  13. Modelling and forecasting Turkish residential electricity demand

    International Nuclear Information System (INIS)

    Dilaver, Zafer; Hunt, Lester C

    2011-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1994-07-01

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

  15. 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.

  16. Electricity demand for South Korean residential sector

    International Nuclear Information System (INIS)

    Sa'ad, Suleiman

    2009-01-01

    This study estimates the electricity demand function for the residential sector of South Korea with the aim of examining the effects of improved energy efficiency, structural factors and household lifestyles on electricity consumption. In the study, time series data for the period from 1973 to 2007 is used in a structural time series model to estimate the long-term price and income elasticities and annual growth of underlying energy demand trend (UEDT) at the end of the estimation period. The result shows a long-term income elasticity of 1.33 and a long-term price elasticity of -0.27% with -0.93% as the percentage growth of UEDT at the end of the estimation period. This result suggests that, in order to encourage energy efficiency in the residential sector, the government should complement the market based pricing policies with non-market policies such as minimum energy efficiency standards and public enlightenment.

  17. Electricity demand for South Korean residential sector

    Energy Technology Data Exchange (ETDEWEB)

    Sa' ad, Suleiman [Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey, Guildford, Surrey GU2 7XH (United Kingdom)

    2009-12-15

    This study estimates the electricity demand function for the residential sector of South Korea with the aim of examining the effects of improved energy efficiency, structural factors and household lifestyles on electricity consumption. In the study, time series data for the period from 1973 to 2007 is used in a structural time series model to estimate the long-term price and income elasticities and annual growth of underlying energy demand trend (UEDT) at the end of the estimation period. The result shows a long-term income elasticity of 1.33 and a long-term price elasticity of -0.27% with -0.93% as the percentage growth of UEDT at the end of the estimation period. This result suggests that, in order to encourage energy efficiency in the residential sector, the government should complement the market based pricing policies with non-market policies such as minimum energy efficiency standards and public enlightenment. (author)

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

    International Nuclear Information System (INIS)

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

    2016-01-01

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

  19. 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.

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

    International Nuclear Information System (INIS)

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

    2016-01-01

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

  1. Residential Consumption Scheduling Based on Dynamic User Profiling

    Science.gov (United States)

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

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

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

    International Nuclear Information System (INIS)

    Villareal, Maria José Charfuelan; Moreira, João Manoel Losada

    2016-01-01

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

  3. The Sensitivity of Residential Electricity Demand in Indonesia

    Directory of Open Access Journals (Sweden)

    Stranti Nastiti Kusumaningrum

    2018-03-01

    Full Text Available Since 2013, the residential electricity price for High VA (Volt-Ampere households has changed due to changes in pricing policies. This paper analyzes the responsiveness of residential electricity demand to the change in electricity prices and income among two different household groups (Low VA and High VA in 2011 and 2014. Using an electricity consumption model and the Quantile Regression method, the results show that residential electricity demand is price and income inelastic. Income elasticity is lower than price elasticity. Furthermore, the effects on price elasticity also found in the Low VA group, whose rate remained stable. At the same time, evidence proves the impact of the change in pricing policy on income elasticity remains unclear. This result implies that the government has to be more careful in regulating electricity prices for the low VA group, while maintaining economic stability.DOI: 10.15408/sjie.v7i2.6048

  4. 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.

  5. Estimating elasticity for residential electricity demand in China.

    Science.gov (United States)

    Shi, G; Zheng, X; Song, F

    2012-01-01

    Residential demand for electricity is estimated for China using a unique household level dataset. Household electricity demand is specified as a function of local electricity price, household income, and a number of social-economic variables at household level. We find that the residential demand for electricity responds rather sensitively to its own price in China, which implies that there is significant potential to use the price instrument to conserve electricity consumption. Electricity elasticities across different heterogeneous household groups (e.g., rich versus poor and rural versus urban) are also estimated. The results show that the high income group is more price elastic than the low income group, while rural families are more price elastic than urban families. These results have important policy implications for designing an increasing block tariff.

  6. Analysis of a Residential Building Energy Consumption Demand Model

    Directory of Open Access Journals (Sweden)

    Meng Liu

    2011-03-01

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

  7. 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.

  8. 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

  9. Modelling residential electricity demand in the GCC countries

    International Nuclear Information System (INIS)

    Atalla, Tarek N.; Hunt, Lester C.

    2016-01-01

    This paper aims at understanding the drivers of residential electricity demand in the Gulf Cooperation Council countries by applying the structural time series model. In addition to the economic variables of GDP and real electricity prices, the model accounts for population, weather, and a stochastic underlying energy demand trend as a proxy for efficiency and human behaviour. The resulting income and price elasticities are informative for policy makers given the paucity of previous estimates for a region with particular political structures and economies subject to large shocks. In particular, the estimates allow for a sound assessment of the impact of energy-related policies suggesting that if policy makers in the region wish to curtail future residential electricity consumption they would need to improve the efficiency of appliances and increase energy using awareness of consumers, possibly by education and marketing campaigns. Moreover, even if prices were raised the impact on curbing residential electricity growth in the region is likely to be very small given the low estimated price elasticities—unless, that is, prices were raised so high that expenditure on electricity becomes such a large proportion of income that the price elasticities increase (in absolute terms). - Highlights: • Residential electricity demand for Bahrain, Kuwait, Oman, and Saudi Arabia • Estimated residential electricity demand relationships using STSM/UEDT approach • LR income and price elasticities from 0.43 to 0.71 and − 0.16 to zero respectively • Impact CDD elasticities from 0.2 to 0.7 • Estimated UEDTs suggest exogenous electricity using behaviour.

  10. Forecasting HotWater Consumption in Residential Houses

    Directory of Open Access Journals (Sweden)

    Linas Gelažanskas

    2015-11-01

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

  11. The relationship between electricity consumption, electricity prices and GDP in Pakistan

    International Nuclear Information System (INIS)

    Jamil, Faisal; Ahmad, Eatzaz

    2010-01-01

    This study analyzes the relationship among electricity consumption, its price and real GDP at the aggregate and sectoral level in Pakistan. Using annual data for the period 1960-2008, the study finds the presence of unidirectional causality from real economic activity to electricity consumption. In particular, growth in output in commercial, manufacturing and agricultural sectors tend to increase electricity consumption, while in residential sector, growth in private expenditures is the cause of rising electricity consumption. The study concludes that electricity production and management needs to be better integrated with overall economic planning exercises. This is essential to avoid electricity shortfalls and unplanned load shedding.

  12. 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)

  13. Second-home electricity consumption

    DEFF Research Database (Denmark)

    Møller Andersen, Frits; Christensen, M.S.; Jensen, O.M.

    2008-01-01

    in electricity consumption. Luxury tourism use and senior citizens' that use a few per cent of the second homes as their home contribute to a minor degree to the overall increase of electricity consumption. Scenarios show that this development may accelerate with increased leisure time, increased use and more...

  14. Second-home electricity consumption

    Energy Technology Data Exchange (ETDEWEB)

    Andersen, Frits M.; Morthorst, Poul Erik [Risoe, Systems Analysis Department, Technical University of Denmark, P.O. Box 49, DK-4000 Roskilde (Denmark); Christensen, Morten S.; Kofoed, Niels-Ulrik [Esbensen Consulting Engineers, Carl Jacobsens Vej 25D, DK-2500 Valby (Denmark); Jensen, Ole Michael [Danish Building Research Institute, Department of Energy and Environment, University of Aalborg, P.O. Box 119, DK-2970 Horsholm (Denmark)

    2008-01-15

    In Denmark, electricity consumption in first and second homes has developed quite differently. Since 1990, electricity consumption in ordinary residences has grown moderately, while consumption in weekend and second homes has increased considerably. In turn, this development has been blamed on a growing number of luxury cottages, new legislation permitting senior citizens to have their permanent address in their second home and a growing number of electric appliances. In order to examine the growing electricity consumption in second homes and to estimate future demand, a multidisciplinary study combining top-down and bottom-up analyses was conducted, i.e., combining models using aggregated economic parameters and feasibility studies using technical parameters, respectively. The top-down estimation showed that changes in electricity consumption in second homes correlate to changes in income. The bottom-up estimation showed that consumption was mainly affected by the frequency with which second homes were used in the winter time. This indicates that additional second homes, increased full-time use and intensified use of electric appliances are the main reasons for the observed increases in electricity consumption. Luxury tourism use and senior citizens' that use a few per cent of the second homes as their home contribute to a minor degree to the overall increase of electricity consumption. Scenarios show that this development may accelerate with increased leisure time, increased use and more permanent settlement in second homes. (author)

  15. Second-home electricity consumption

    International Nuclear Information System (INIS)

    Andersen, Frits M.; Christensen, Morten S.; Jensen, Ole Michael; Kofoed, Niels-Ulrik; Morthorst, Poul Erik

    2008-01-01

    In Denmark, electricity consumption in first and second homes has developed quite differently. Since 1990, electricity consumption in ordinary residences has grown moderately, while consumption in weekend and second homes has increased considerably. In turn, this development has been blamed on a growing number of luxury cottages, new legislation permitting senior citizens to have their permanent address in their second home and a growing number of electric appliances. In order to examine the growing electricity consumption in second homes and to estimate future demand, a multidisciplinary study combining top-down and bottom-up analyses was conducted, i.e., combining models using aggregated economic parameters and feasibility studies using technical parameters, respectively. The top-down estimation showed that changes in electricity consumption in second homes correlate to changes in income. The bottom-up estimation showed that consumption was mainly affected by the frequency with which second homes were used in the winter time. This indicates that additional second homes, increased full-time use and intensified use of electric appliances are the main reasons for the observed increases in electricity consumption. Luxury tourism use and senior citizens' that use a few per cent of the second homes as their home contribute to a minor degree to the overall increase of electricity consumption. Scenarios show that this development may accelerate with increased leisure time, increased use and more permanent settlement in second homes

  16. Adolescents and electricity consumption; Investigating sociodemographic, economic, and behavioural influences on electricity consumption in households

    International Nuclear Information System (INIS)

    Wallis, Hannah; Nachreiner, Malte; Matthies, Ellen

    2016-01-01

    With respect to changes in the energy systems of many countries, electricity consumption in households is an important topic. Extensive research has investigated the various determinants of electricity consumption. However, insights into how specific sociodemographic, behavioural, and attitudinal determinants influence residential electricity consumption are still scarce. In this study, we used hierarchical regression analysis to systematically investigate these determinants (including household engagement in electricity saving) along with a wide range of other measures in a sample of German households (N=763). Special attention was given to households with adolescents and children by analysing the influence of the number of adolescents on electricity consumption in a path model. Our results indicate that sociodemographic influences can be explained by the purchasing and use behaviours of residents. Our findings also suggest that the use of behavioural information provides a more detailed picture of the conditions of electricity consumption and thus allows for more appropriate policy planning. - Highlights: •We examined causal drivers of sociodemographic influences on electricity consumption •Sociodemographic influences can be explained by behaviour •Influence of adolescents is mediated by their purchases of IT appliances •It is necessary to also use behavioural information for policy planning

  17. Quebec residential electricity demand: a microeconometric approach

    International Nuclear Information System (INIS)

    Bernard, J.T.; Bolduc, D.; Belanger, D.

    1996-01-01

    An economic analysis of Quebec residential electricity demand was studied by micro-simulation models. These structural models describe all components which lead to decisions upon durable holdings and electric appliance usage. The demand for space and water heating systems was evaluated. Recent price change in favour of energy sources other than electricity were taken into account. Price and income elasticity ratios were found to be low, as expected when estimating short term use. The role played by socio-economic variables on the choice of space-water heating systems and electricity use was also examined. Recent conversions have indicated a trend toward preference by households in favour of natural gas or oil over electricity. 18 refs., 5 tabs., 1 fig

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2000-07-01

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

  19. Homogeneous grouping of residential users of electric power in accordance with the variables that affect the consumption; Agrupamientos homogeneos de usuarios residenciales de energia electrica en funcion de las variables que impactan el consumo

    Energy Technology Data Exchange (ETDEWEB)

    Campero Littlewood, E.; Romero Cortes, J. [Departamento de Energia, Universidad Autonoma Metropolitana - Unidad Azcapotzalco, Mexico, D. F. (Mexico)

    1997-12-31

    This paper presents the results of the correlation analysis of the monthly consumption of electric power and the capacities in watts of the electric household appliances and domestic lighting performed in a sample of users of the residential tariff. To carry out this task, the information obtained in the answers to the inquiry applied to a group of dwellings, was used (the results of the inquiry are presented in another paper of this Seminar). The correlation variables were obtained from the nominal capacities or through the actual measurements of the energy consumption of the electric household appliances similar to the ones found in the visited homes. At the end of this paper the result of the application of the cluster analysis technic to obtain homogeneous groups of users, is presented, so as to be in position of estimating the shape of the hourly demand curve by means of the recording of the demand (watts) of a small sample of users. [Espanol] En este articulo se presenta el resultado de correlacion del consumo mensual de energia electrica y las capacidades en watts de los electrodomesticos e iluminacion realizado a una muestra de usuarios de tarifa residencial. Para este trabajo se utilizo la informacion obtenida en las respuestas de una encuesta aplicada en un conjunto habitacional (los resultados de la encuesta se presentan en otro articulo en este Seminario). Las variables de la correlacion se obtuvieron a partir de las especificaciones de capacidades o a traves de mediciones en electrodomesticos similares a los encontrados en los hogares. Al final se presenta el resultado de la aplicacion de la tecnica de formacion de agrupamientos `Cluster Analysis` para obtener grupos homogeneos de usuarios, de forma que se pueda estimar el perfil de demanda electrica mediante el registro de la demanda (watts) de una pequena muestra de usuarios.

  20. Homogeneous grouping of residential users of electric power in accordance with the variables that affect the consumption; Agrupamientos homogeneos de usuarios residenciales de energia electrica en funcion de las variables que impactan el consumo

    Energy Technology Data Exchange (ETDEWEB)

    Campero Littlewood, E; Romero Cortes, J [Departamento de Energia, Universidad Autonoma Metropolitana - Unidad Azcapotzalco, Mexico, D. F. (Mexico)

    1998-12-31

    This paper presents the results of the correlation analysis of the monthly consumption of electric power and the capacities in watts of the electric household appliances and domestic lighting performed in a sample of users of the residential tariff. To carry out this task, the information obtained in the answers to the inquiry applied to a group of dwellings, was used (the results of the inquiry are presented in another paper of this Seminar). The correlation variables were obtained from the nominal capacities or through the actual measurements of the energy consumption of the electric household appliances similar to the ones found in the visited homes. At the end of this paper the result of the application of the cluster analysis technic to obtain homogeneous groups of users, is presented, so as to be in position of estimating the shape of the hourly demand curve by means of the recording of the demand (watts) of a small sample of users. [Espanol] En este articulo se presenta el resultado de correlacion del consumo mensual de energia electrica y las capacidades en watts de los electrodomesticos e iluminacion realizado a una muestra de usuarios de tarifa residencial. Para este trabajo se utilizo la informacion obtenida en las respuestas de una encuesta aplicada en un conjunto habitacional (los resultados de la encuesta se presentan en otro articulo en este Seminario). Las variables de la correlacion se obtuvieron a partir de las especificaciones de capacidades o a traves de mediciones en electrodomesticos similares a los encontrados en los hogares. Al final se presenta el resultado de la aplicacion de la tecnica de formacion de agrupamientos `Cluster Analysis` para obtener grupos homogeneos de usuarios, de forma que se pueda estimar el perfil de demanda electrica mediante el registro de la demanda (watts) de una pequena muestra de usuarios.

  1. 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)

  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. 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.

  4. The analysis of Taiwan's residential electricity demand under the electricity tariff policy

    Science.gov (United States)

    Chen, Po-Jui

    In October 2013, the Taiwan Power Company (Taipower), the monopolized state utility service in Taiwan, implemented an electricity tariff adjustment policy to reduce residential electricity demand. Using bi-monthly billing data from 6,932 electricity consumers, this study examine how consumers respond to an increase in electricity prices. This study employs an empirical approach that takes advantage of quasi-random variation over a period of time when household bills were affected by a change in electricity price. The study found that this price increase caused a 1.78% decline in residential electricity consumption, implying a price elasticity of -0.19 for summer-season months and -0.15 for non-summer-season months. The demand for electricity is therefore relatively inelastic, likely because it is hard for people to change their electricity consumption behavior in the short-term. The results of this study highlight that demand-side management cannot be the only lever used to address Taiwan's forecasted decrease in electricity supply.

  5. 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

  6. Impact of residential PV adoption on Retail Electricity Rates

    International Nuclear Information System (INIS)

    Cai, Desmond W.H.; Adlakha, Sachin; Low, Steven H.; De Martini, Paul; Mani Chandy, K.

    2013-01-01

    The price of electricity supplied from home rooftop photo voltaic (PV) solar cells has fallen below the retail price of grid electricity in some areas. A number of residential households have an economic incentive to install rooftop PV systems and reduce their purchases of electricity from the grid. A significant portion of the costs incurred by utility companies are fixed costs which must be recovered even as consumption falls. Electricity rates must increase in order for utility companies to recover fixed costs from shrinking sales bases. Increasing rates will, in turn, result in even more economic incentives for customers to adopt rooftop PV. In this paper, we model this feedback between PV adoption and electricity rates and study its impact on future PV penetration and net-metering costs. We find that the most important parameter that determines whether this feedback has an effect is the fraction of customers who adopt PV in any year based solely on the money saved by doing so in that year, independent of the uncertainties of future years. These uncertainties include possible changes in rate structures such as the introduction of connection charges, the possibility of PV prices dropping significantly in the future, possible changes in tax incentives, and confidence in the reliability and maintainability of PV. -- Highlights: •Households who install PV reduce their electricity consumption from the grid. •Electricity rates must increase for utility companies to recover its fixed costs. •However, higher electricity rates give households more incentives to adopt PV. •We find that this feedback has significant impact on PV uptake only in later years. •Utility companies could lose a significant fraction of high consumption customers

  7. Price sensitivity of residential energy consumption in Norway

    International Nuclear Information System (INIS)

    Nesbakken, R.

    1999-01-01

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

  8. 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.

  9. Stochastic estimation of electricity consumption

    International Nuclear Information System (INIS)

    Kapetanovic, I.; Konjic, T.; Zahirovic, Z.

    1999-01-01

    Electricity consumption forecasting represents a part of the stable functioning of the power system. It is very important because of rationality and increase of control process efficiency and development planning of all aspects of society. On a scientific basis, forecasting is a possible way to solve problems. Among different models that have been used in the area of forecasting, the stochastic aspect of forecasting as a part of quantitative models takes a very important place in applications. ARIMA models and Kalman filter as stochastic estimators have been treated together for electricity consumption forecasting. Therefore, the main aim of this paper is to present the stochastic forecasting aspect using short time series. (author)

  10. Retailing residential electricity : A concept that makes sense?

    International Nuclear Information System (INIS)

    MacDonald, C.

    2003-07-01

    A heated debate centres around the deregulation of the electricity industry and the retailing of residential electricity. An assessment of the current situation in the industry was provided in this paper to provide a basis for discussion. The experience gained both in Alberta and Texas in residential retail was examined. The main issue of concern is whether residential customers will benefit from deregulation of the electricity sector. The Retail Energy Deregulation (RED) Index provides a benchmark for those jurisdictions considering the residential options. Deregulation has not led to significant benefits to residential customers in most jurisdictions. The electricity industry will always require a central dispatch/market process that will have to designed, governed, regulated, modified regularly. The benefits to residential consumers are not expected for a very long time. Standard market design is an issue that will require attention. refs., 7 figs

  11. 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.

  12. 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.

  13. Short- and long-run time-of-use price elasticities in Swiss residential electricity demand

    International Nuclear Information System (INIS)

    Filippini, Massimo

    2011-01-01

    This paper presents an empirical analysis on the residential demand for electricity by time-of-day. This analysis has been performed using aggregate data at the city level for 22 Swiss cities for the period 2000-2006. For this purpose, we estimated two log-log demand equations for peak and off-peak electricity consumption using static and dynamic partial adjustment approaches. These demand functions were estimated using several econometric approaches for panel data, for example LSDV and RE for static models, and LSDV and corrected LSDV estimators for dynamic models. The attempt of this empirical analysis has been to highlight some of the characteristics of the Swiss residential electricity demand. The estimated short-run own price elasticities are lower than 1, whereas in the long-run these values are higher than 1. The estimated short-run and long-run cross-price elasticities are positive. This result shows that peak and off-peak electricity are substitutes. In this context, time differentiated prices should provide an economic incentive to customers so that they can modify consumption patterns by reducing peak demand and shifting electricity consumption from peak to off-peak periods. - Highlights: → Empirical analysis on the residential demand for electricity by time-of-day. → Estimators for dynamic panel data. → Peak and off-peak residential electricity are substitutes.

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

    International Nuclear Information System (INIS)

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

    2014-01-01

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

  15. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-12-04

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

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

    Science.gov (United States)

    Kopf, John

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

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

    International Nuclear Information System (INIS)

    Nie, Hongguang; Kemp, René

    2014-01-01

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

  19. Moving from Outsider to Insider: Peer Status and Partnerships between Electricity Utilities and Residential Consumers

    Science.gov (United States)

    Morris, Peter; Buys, Laurie; Vine, Desley

    2014-01-01

    An electricity demand reduction project based on comprehensive residential consumer engagement was established within an Australian community in 2008. By 2011, both the peak demand and grid supplied electricity consumption had decreased to below pre-intervention levels. This case study research explored the relationship developed between the utility, community and individual consumer from the residential customer perspective through qualitative research of 22 residential households. It is proposed that an energy utility can be highly successful at peak demand reduction by becoming a community member and a peer to residential consumers and developing the necessary trust, access, influence and partnership required to create the responsive environment to change. A peer-community approach could provide policymakers with a pathway for implementing pro-environmental behaviour for low carbon communities, as well as peak demand reduction, thereby addressing government emission targets while limiting the cost of living increases from infrastructure expenditure. PMID:24979234

  20. Predicting summer residential electricity demand across the U.S.A using climate information

    Science.gov (United States)

    Sun, X.; Wang, S.; Lall, U.

    2017-12-01

    We developed a Bayesian Hierarchical model to predict monthly residential per capita electricity consumption at the state level across the USA using climate information. The summer period was selected since cooling requirements may be directly associated with electricity use, while for winter a mix of energy sources may be used to meet heating needs. Historical monthly electricity consumption data from 1990 to 2013 were used to build a predictive model with a set of corresponding climate and non-climate covariates. A clustering analysis was performed first to identify groups of states that had similar temporal patterns for the cooling degree days of each state. Then, a partial pooling model was applied to each cluster to assess the sensitivity of monthly per capita residential electricity demand to each predictor (including cooling-degree-days, gross domestic product (GDP) per capita, per capita electricity demand of previous month and previous year, and the residential electricity price). The sensitivity of residential electricity to cooling-degree-days has an identifiable geographic distribution with higher values in northeastern United States.

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

    Science.gov (United States)

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

    2006-03-07

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

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

    Science.gov (United States)

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

    2008-09-02

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

  3. The residential electricity sector in Denmark: A description of current conditions

    DEFF Research Database (Denmark)

    Kitzing, Lena; Katz, Jonas; Schröder, Sascha Thorsten

    We provide an overview of the current conditions and framework for residential electricity consumption in Denmark. This includes a general overview of the sector, the retail market and the regulatory framework. We describe the regulations currently in place and changes which have been decided...... in the area, which are listed in the Glossary towards the end of the report. We also attach a list and description of the major sources of information and data that can be obtained and downloaded for analysis of the Danish residential electricity sector....

  4. 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.

  5. Electricity consumption modelling: a case of Germany

    Czech Academy of Sciences Publication Activity Database

    Do, L. P. C.; Lin, Kuan-Heng; Molnár, P.

    2016-01-01

    Roč. 55, June (2016), s. 92-101 ISSN 0264-9993 Institutional support: PRVOUK-P23 Keywords : electricity demand * electricity consumption * electricity load Subject RIV: AH - Economics Impact factor: 1.481, year: 2016

  6. Statictical Analysis Of The Conditioning Factors Of Urban Electric Consumption

    International Nuclear Information System (INIS)

    Segura D'Rouville, Juan Joel; Suárez Carreño, Franyelit María

    2017-01-01

    This research work presents the analysis of the most important factors that condition the urban residential electricity consumption. This study shows the quantitative parameters conditioning the electricity consumption. This sector of analysis has been chosen because there is disaggregated information of which are the main social and technological factors that determine its behavior, growth, with the objective of elaborating policies in the management of the electric consumption. The electrical demand considered as the sum of the powers of all the equipment that are used in each of the instants of a full day, is related to the electrical consumption, which is not but the value of the power demanded by a determined consumer Multiplied by the time in which said demand is maintained. In this report we propose the design of a probabilistic model of prediction of electricity consumption, taking into account mainly influential social and technological factors. The statistical process of this database is done through the Stat Graphics software version 4.1, for its extensive didactic in the accomplishment of calculations and associated methods. Finally, the correlation of the variables was performed to classify the determinants in a specific way and thus to determine the consumption of the dwellings. (author)

  7. Integration of plug-in hybrid electric vehicles (PHEV) with grid connected residential photovoltaic energy systems

    Science.gov (United States)

    Nagarajan, Adarsh; Shireen, Wajiha

    2013-06-01

    This paper proposes an approach for integrating Plug-In Hybrid Electric Vehicles (PHEV) to an existing residential photovoltaic system, to control and optimize the power consumption of residential load. Control involves determining the source from which residential load will be catered, where as optimization of power flow reduces the stress on the grid. The system built to achieve the goal is a combination of the existing residential photovoltaic system, PHEV, Power Conditioning Unit (PCU), and a controller. The PCU involves two DC-DC Boost Converters and an inverter. This paper emphasizes on developing the controller logic and its implementation in order to accommodate the flexibility and benefits of the proposed integrated system. The proposed controller logic has been simulated using MATLAB SIMULINK and further implemented using Digital Signal Processor (DSP) microcontroller, TMS320F28035, from Texas Instruments

  8. Estimation of Residential Heat Pump Consumption for Flexibility Market Applications

    DEFF Research Database (Denmark)

    Kouzelis, Konstantinos; Tan, Zheng-Hua; Bak-Jensen, Birgitte

    2015-01-01

    load of a flexible device, namely a Heat Pump (HP), out of the aggregated energy consumption of a house. The main idea for accomplishing this, is a comparison of the flexible consumer with electrically similar non-flexible consumers. The methodology is based on machine learning techniques, probability...... theory and statistics. After presenting this methodology, the general trend of the HP consumption is estimated and an hour-ahead forecast is conducted by employing Seasonal Autoregressive Integrated Moving Average modeling. In this manner, the flexible consumption is predicted, establishing the basis......Recent technological advancements have facilitated the evolution of traditional distribution grids to smart grids. In a smart grid scenario, flexible devices are expected to aid the system in balancing the electric power in a technically and economically efficient way. To achieve this, the flexible...

  9. 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

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

    Science.gov (United States)

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

    2018-02-01

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

  11. 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

    results. Simulation results show that the modeling of the distributions instead of the average values of variables changes both the estimations of total energy consumption of dwelling stock and the dynamics of this consumption. The comparison of refurbishment market modeling in engineering and econometric models shows that a part of the heterogeneity of the market is not accounted for in engineering models. If the economic context encourages the diffusion of energy efficient or low-carbon technologies (for instance in the case of a significant carbon tax) then adding market heterogeneity in engineering models implies more pessimistic simulation results regarding energy consumption reduction and GHG abatements. The model of French residential energy consumption dynamics that was developed during the thesis (BEUS) has been applied to various foresight studies. A progressive tariff (or tier pricing) on electricity has been modeled and its effects on demand have been simulated. When applied, this tariff causes a switch from electricity-based heating systems to more carbon intensive ones. In order to avoid this unwanted effect of progressive tariff, an extension of this tariff structure to all energies has been modeled and simulated, as well as the fiscal equivalent of this measure: a bonus-malus for sustainable energy consumption. The simulations - made in a simplified regulatory environment - show that these measures could accelerate the transition of existing housing stock to a lower level of energy consumption and GHG emissions. (author)

  12. Electricity consumption in Geneva's businesses and administration

    International Nuclear Information System (INIS)

    Bassand, M.; Malatesta, D.; Chevalier, H.

    1999-01-01

    The article describes a data-collection project that gave an overview of energy consumption in Geneva's businesses and the canton's administration. For the first time, data on the patterns of use of electrical equipment were collected. The development of the sampling process is discussed, and the development of the categories defined for the analysis of the results is described. The role of various types of objects and their typical electricity consumption is discussed and trends in consumption are described. Results discussed include electricity consumption per employee and the degree of awareness regarding costs and consumption in various business types

  13. An analysis of a demand charge electricity grid tariff in the residential sector

    International Nuclear Information System (INIS)

    Stokke, A. V.; Doorman, G.L.; Ericson, T.

    2010-01-01

    This paper analyzes the demand response from residential electricity consumers to a demand charge grid tariff. The tariff charges the maximum hourly peak consumption in each of the winter months Dec, Jan, and Feb, thus giving incentives to reduce peak consumption. We use hourly electricity consumption data from 443 households, as well as data on their grid and power prices, the local temperature, wind speed, and hours of daylight. The panel data set is analyzed with a fixed effects regression model. The estimates indicate average demand reductions up to 0.37 kWh/h per household in response to the tariff. This is on average a 5% reduction, with a maximum reduction of 12% in hour 8 in Dec. The consumers did not receive any information on their continuous consumption or any reminders when the tariff was in effect. It is likely that the consumption reductions would have been even higher with more information to the consumers.

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

    International Nuclear Information System (INIS)

    Alberini, Anna; Filippini, Massimo

    2011-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-09-15

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

  16. C-Vine copula mixture model for clustering of residential electrical load pattern data

    OpenAIRE

    Sun, M; Konstantelos, I; Strbac, G

    2016-01-01

    The ongoing deployment of residential smart meters in numerous jurisdictions has led to an influx of electricity consumption data. This information presents a valuable opportunity to suppliers for better understanding their customer base and designing more effective tariff structures. In the past, various clustering methods have been proposed for meaningful customer partitioning. This paper presents a novel finite mixture modeling framework based on C-vine copulas (CVMM) for carrying out cons...

  17. Power Play: Calculating Home Electricity Consumption

    Science.gov (United States)

    Roman, Harry T.

    2007-01-01

    With both energy usage and energy costs rising rapidly, people can benefit from paying closer attention to their consumption of energy. Students can gain greater awareness of their personal use of electricity and get some excellent experience with the practical application of mathematics by studying their families' consumption of electricity. A…

  18. The electricity consumption and economic growth nexus: Evidence from Greece

    International Nuclear Information System (INIS)

    Polemis, Michael L.; Dagoumas, Athanasios S.

    2013-01-01

    This paper attempts to cast light into the relationship between electricity consumption and economic growth in Greece in a multivariate framework. For this purpose we used cointegration techniques and the vector error correction model in order to capture short-run and long-run dynamics over the sample period 1970–2011. The empirical results reveal that in the long-run electricity demand appears to be price inelastic and income elastic, while in the short-run the relevant elasticities are below unity. We also argue that the causal relationship between electricity consumption and economic growth in Greece is bi-directional. Our results strengthen the notion that Greece is an energy dependent country and well directed energy conservation policies could even boost economic growth. Furthermore, the implementation of renewable energy sources should provide significant benefits ensuring sufficient security of supply in the Greek energy system. This evidence can provide a new basis for discussion on the appropriate design and implementation of environmental and energy policies for Greece and other medium sized economies with similar characteristics. -- Highlights: •We examine the causality between electricity consumption and economic growth. •We used cointegration techniques to capture short-run and long-run dynamics. •The relationship between electricity consumption and GDP is bi-directional. •Residential energy switching in Greece is still limited. •The implementation of renewable energy sources should ensure security of supply

  19. An analytics of electricity consumption characteristics based on principal component analysis

    Science.gov (United States)

    Feng, Junshu

    2018-02-01

    Abstract . More detailed analysis of the electricity consumption characteristics can make demand side management (DSM) much more targeted. In this paper, an analytics of electricity consumption characteristics based on principal component analysis (PCA) is given, which the PCA method can be used in to extract the main typical characteristics of electricity consumers. Then, electricity consumption characteristics matrix is designed, which can make a comparison of different typical electricity consumption characteristics between different types of consumers, such as industrial consumers, commercial consumers and residents. In our case study, the electricity consumption has been mainly divided into four characteristics: extreme peak using, peak using, peak-shifting using and others. Moreover, it has been found that industrial consumers shift their peak load often, meanwhile commercial and residential consumers have more peak-time consumption. The conclusions can provide decision support of DSM for the government and power providers.

  20. Challenge: Getting Residential Users to Shift Their Electricity Usage Patterns

    DEFF Research Database (Denmark)

    Brewer, Robert S.; Verdezoto, Nervo; Rasmussen, Mia Kruse

    2015-01-01

    electricity use from the less desirable times to more desirable times, including: feedback technology, pricing incentives, smart appliances, and energy storage. Based on our experience in this area, we present three challenges for residential shifting: getting users to understand the concept of shifting...

  1. 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

  2. Electricity consumption and electricity saving in the Swedish households

    Energy Technology Data Exchange (ETDEWEB)

    Bernstroem, B M; Eklund, Y; Sjoeberg, L

    1997-03-01

    The objective of the present study is to determine which factors influence electricity consumption behavior of Swedish households, the level of knowledge about electricity use and the willingness to pay for the use of electricity. In Sweden, as in many other developed countries, the need for electric power is constantly increasing. The major reason for this increase in electricity consumption is the lifestyle of a modern society. A feature in the nuclear power discussion is that the government in Sweden is having a hard time to establish how to phase-out all nuclear power plants by 2010. An additional major change in Swedish energy policy is the deregulation of the electricity market, which started in the beginning of 1996. There is an increased demand for strategies to save electricity among households. The results of this study stress the difficulties in reducing electricity consumption and to develop new electricity saving strategies in Sweden 125 refs, 6 figs, 21 tabs

  3. 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

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

    Directory of Open Access Journals (Sweden)

    Bingtuan Gao

    2014-11-01

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

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

    DEFF Research Database (Denmark)

    Kim, Jinwon; Brownstone, David

    2013-01-01

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

  6. Evolution of residential electricity demand by end-use in Quebec 1979-1989: A conditional demand analysis

    International Nuclear Information System (INIS)

    Lafrance, G.; Perron, D.

    1994-01-01

    Some of the main conclusions are presented from a temporal analysis of three large-scale electricity demand surveys (1979, 1984, and 1989) for the Quebec residential sector. A regression method called conditional demand analysis was used. The study allows a number of conclusions about certain electricity consumption trends by end-uses from 1979 to 1989 by household type and by vintage category. For example, the results indicate that decreasing electricity consumption between 1979 and 1984 for a typical dwelling equipped with electric space heating was mainly related to a large decline in net heating consumption. Overall, the results suggest that some permanent energy savings have been realized by a typical household equipped with an electric heating system due to improvements in standards and changes in customer behavior. These energy savings were partly offset by increased electricity consumption from the purchase of new appliances and an increase in the demand for hot water. 7 refs., 1 fig., 8 tabs

  7. Consumer knowledge and electricity consumption

    Energy Technology Data Exchange (ETDEWEB)

    Crawshaw, A J.E.; Williams, D I; Crawshaw, C M

    1985-12-01

    Householders in all-electric homes were asked to rank their electrical appliances in terms of annual running cost. By comparing this with an individually calculated correct order, an assessment of their knowledge was made. On this measure overall knowledge was good, but half the sample underestimated the running costs of key high-energy using appliances (space heating, hot-water, cooking). This specific lack of knowledge is critical, and was found to be correlated with higher bills. 16 references.

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

    International Nuclear Information System (INIS)

    Schwarzburger, Heiko

    2017-01-01

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

  9. Climate Change Impacts on Peak Electricity Consumption: US vs. Europe.

    Science.gov (United States)

    Auffhammer, M.

    2016-12-01

    It has been suggested that climate change impacts on the electric sector will account for the majority of global economic damages by the end of the current century and beyond. This finding is at odds with the relatively modest increase in climate driven impacts on consumption. Comprehensive high frequency load balancing authority level data have not been used previously to parameterize the relationship between electric demand and temperature for any major economy. Using statistical models we analyze multi-year data from load balancing authorities in the United States of America and the European Union, which are responsible for more than 90% of the electricity delivered to residential, industrial, commercial and agricultural customers. We couple the estimated response functions between total daily consumption and daily peak load with an ensemble of downscaled GCMs from the CMIP5 archive to simulate climate change driven impacts on both outcomes. We show moderate and highly spatially heterogeneous changes in consumption. The results of our peak load simulations, however, suggest significant changes in the intensity and frequency of peak events throughout the United States and Europe. As the electricity grid is built to endure maximum load, which usually occurs on the hottest day of the year, our findings have significant implications for the construction of costly peak generating and transmission capacity.

  10. Distributed Coordination of Household Electricity Consumption

    DEFF Research Database (Denmark)

    Juelsgaard, Morten; Teixeira, Andre; Johansson, Mikael

    2014-01-01

    This work presents a distributed framework for coordination of flexible electricity consumption for a number of households in the distribution grid. We conduct coordination with the purpose of minimizing a trade-off between individual concerns about discomfort and electricity cost, on the one hand......, and joint concerns about grid losses and voltage variations on the other. Our contribution is mainly to illustrate how to conduct distributed coordination when consumers are jointly coupled by grid losses and voltage variations. In addition we illustrate the benefit of including consumption management...... in the grid operation, and how different types of consumption may present various benefits....

  11. 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.

  12. Assessing Residential Customer Satisfaction for Large Electric Utilities

    OpenAIRE

    Lea Kosnik; L. Douglas Smith; Satish Nayak; Maureen Karig; Mark Konya; Kristy Lovett; Zhennan Liu; Harrison Luvai

    2015-01-01

    Electric utilities, like other service organizations, rely on customer surveys to assess the quality of their services and customer relations. With responses to an in-depth survey of 2,216 residential customers, complementary data from geo-coded public sources, aggregate assessments of performance by J.D. Power & Associates from their independent surveys, historical records of individual customer usage and bill payments, streams of published media content and records of actual service deliver...

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

    International Nuclear Information System (INIS)

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

    2013-01-01

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

  14. Estimating short and long-term residential demand for electricity. New evidence from Sri Lanka

    International Nuclear Information System (INIS)

    Athukorala, P.P.A Wasantha; Wilson, Clevo

    2010-01-01

    This study investigates the short-run dynamics and long-run equilibrium relationship between residential electricity demand and factors influencing demand - per capita income, price of electricity, price of kerosene oil and price of liquefied petroleum gas - using annual data for Sri Lanka for the period, 1960-2007. The study uses unit root, cointegration and error-correction models. The long-run demand elasticities of income, own price and price of kerosene oil (substitute) were estimated to be 0.78, - 0.62, and 0.14 respectively. The short-run elasticities for the same variables were estimated to be 0.32, - 0.16 and 0.10 respectively. Liquefied petroleum (LP) gas is a substitute for electricity only in the short-run with an elasticity of 0.09. The main findings of the paper support the following (1) increasing the price of electricity is not the most effective tool to reduce electricity consumption (2) existing subsidies on electricity consumption can be removed without reducing government revenue (3) the long-run income elasticity of demand shows that any future increase in household incomes is likely to significantly increase the demand for electricity and (4) any power generation plans which consider only current per capita consumption and population growth should be revised taking into account the potential future income increases in order to avoid power shortages in the country. (author)

  15. Estimating short and long-term residential demand for electricity. New evidence from Sri Lanka

    Energy Technology Data Exchange (ETDEWEB)

    Athukorala, P.P.A Wasantha; Wilson, Clevo [School of Economics and Finance, Queensland University of Technology, Brisbane (Australia)

    2010-09-15

    This study investigates the short-run dynamics and long-run equilibrium relationship between residential electricity demand and factors influencing demand - per capita income, price of electricity, price of kerosene oil and price of liquefied petroleum gas - using annual data for Sri Lanka for the period, 1960-2007. The study uses unit root, cointegration and error-correction models. The long-run demand elasticities of income, own price and price of kerosene oil (substitute) were estimated to be 0.78, - 0.62, and 0.14 respectively. The short-run elasticities for the same variables were estimated to be 0.32, - 0.16 and 0.10 respectively. Liquefied petroleum (LP) gas is a substitute for electricity only in the short-run with an elasticity of 0.09. The main findings of the paper support the following (1) increasing the price of electricity is not the most effective tool to reduce electricity consumption (2) existing subsidies on electricity consumption can be removed without reducing government revenue (3) the long-run income elasticity of demand shows that any future increase in household incomes is likely to significantly increase the demand for electricity and (4) any power generation plans which consider only current per capita consumption and population growth should be revised taking into account the potential future income increases in order to avoid power shortages in the country. (author)

  16. Electric heat-pumps in residential buildings

    Energy Technology Data Exchange (ETDEWEB)

    1983-03-01

    Since the end of 1979 every other day an electrically operated heat-pump has started operation in Berlin (West). Pros and cons of heat-pumps are a much discussed subject. But what is the opinion of the user. As it is not known the BEWAG carried out a written customer inquiry in the summer 1982. The aim of the inquiry was to improve the advisory service by means of the answers obtained, to obtain information about the reliability or liability to defects of the heat pump, the mechanism they operate on and to know how big the oil substitution potential is. Customer satisfaction with the heat pumps was a further point of interest.

  17. Charging Schedule for Electric Vehicles in Danish Residential Distribution Grids

    DEFF Research Database (Denmark)

    Pillai, Jayakrishnan Radhakrishna; Huang, Shaojun; Bak-Jensen, Birgitte

    2015-01-01

    energy sources like wind in power systems. The EV batteries could be used to charge during periods of excess electricity production from wind power and reduce the charging rate or discharge on deficit of power in the grid, supporting system stability and reliability. By providing such grid services......The prospects of Electric Vehicles (EVs) in providing clean transportation and supporting renewable electricity is widely discussed in sustainable energy forums worldwide. The battery storage of EVs could be used to address the variability and unpredictability of electricity produced from renewable......, the vehicle owner, vehicle fleet operator and other parties involved in the process could economically benefit from the process. This paper investigates an optimal EV charging plan in Danish residential distribution grids in view of supporting high volumes of wind power in electricity grids. The results...

  18. Reforming residential electricity tariff in China: Block tariffs pricing approach

    International Nuclear Information System (INIS)

    Sun, Chuanwang; Lin, Boqiang

    2013-01-01

    The Chinese households that make up approximately a quarter of world households are facing a residential power tariff reform in which a rising block tariff structure will be implemented, and this tariff mechanism is widely used around the world. The basic principle of the structure is to assign a higher price for higher income consumers with low price elasticity of power demand. To capture the non-linear effects of price and income on elasticities, we set up a translog demand model. The empirical findings indicate that the higher income consumers are less sensitive than those with lower income to price changes. We further put forward three proposals of Chinese residential electricity tariffs. Compared to a flat tariff, the reasonable block tariff structure generates more efficient allocation of cross-subsidies, better incentives for raising the efficiency of electricity usage and reducing emissions from power generation, which also supports the living standards of low income households. - Highlights: • We design a rising block tariff structure of residential electricity in China. • We set up a translog demand model to find the non-linear effects on elasticities. • The higher income groups are less sensitive to price changes. • Block tariff structure generates more efficient allocation of cross-subsidies. • Block tariff structure supports the living standards of low income households

  19. Feedback on household electricity consumption

    DEFF Research Database (Denmark)

    Grønhøj, Alice; Thøgersen, John

    2011-01-01

    In this paper, we present results from a project aiming to develop a new feedback technology to support sustainable living in private households. Against the backdrop of a review of the relevant literature and based on qualitative family interviews and registration of the households' electricity ...

  20. Residential response to voluntary time-of-use electricity rates

    Energy Technology Data Exchange (ETDEWEB)

    Mostafa Baladi, S. [Laurits R. Christensen Associates, Inc. Ames, IA 50011-1070 (United States); Herriges, Joseph A. [Iowa State University, 280D Heady Hall, Department of Economics, Iowa State University, Ames, IA 50011-1070 (United States); Sweeney, Thomas J. [MidAmerican Energy, Des Moines, Iowa (United States)

    1998-09-01

    The response of residential households to voluntary Time-of-Use (TOU) electricity rates is estimated using data from a recent experiment at Midwest Power Systems of Iowa. The study`s design allows us to examine both the participation decision and the customer`s load pattern changes once the TOU rate structure was in effect. Substitution elasticities between on-peak and off-peak electricity usage are estimated and compared to those obtained in earlier mandatory programs, indicating whether program volunteers are more responsive to TOU pricing than the typical household. Attitudinal questionnaires allow us to examine the role of usage perceptions in program participation

  1. Electricity consumption and climate, relationship with climatic variable

    International Nuclear Information System (INIS)

    Fonte Hernandez, Aramis; Rivero Jaspe, Zoltan

    2004-01-01

    Perhaps, since in the world people is more concerned about the possibility of climatic impact on the energy consumption, actually it is an attractive theme not only for undeveloped countries, but also for developed. In this work, a study on the electricity consumption of residential sector in the province of Camaguey, Cuba, during the last ten years of X X century, was done. In it, climatic variables like temperature, relative humidity, sunshine hours, and wind speed, were included. Specifically, in the case of temperature, it was used both in its primitive form, and like a derived variable in the form of degree-day. For this reason, firstly the appropriate value of base temperature for the area under study was determined, obtaining a value of 23.6 Celsius Degrade. After that, using nonlinear regression analysis, statistical models with acceptable predictive capacity, were obtained

  2. Residential demand response reduces air pollutant emissions on peak electricity demand days in New York City

    International Nuclear Information System (INIS)

    Gilbraith, Nathaniel; Powers, Susan E.

    2013-01-01

    Many urban areas in the United States have experienced difficulty meeting the National Ambient Air Quality Standards (NAAQS), partially due to pollution from electricity generating units. We evaluated the potential for residential demand response to reduce pollutant emissions on days with above average pollutant emissions and a high potential for poor air quality. The study focused on New York City (NYC) due to non-attainment with NAAQS standards, large exposed populations, and the existing goal of reducing pollutant emissions. The baseline demand response scenario simulated a 1.8% average reduction in NYC peak demand on 49 days throughout the summer. Nitrogen oxide and particulate matter less than 2.5 μm in diameter emission reductions were predicted to occur (−70, −1.1 metric tons (MT) annually), although, these were not likely to be sufficient for NYC to meet the NAAQS. Air pollution mediated damages were predicted to decrease by $100,000–$300,000 annually. A sensitivity analysis predicted that substantially larger pollutant emission reductions would occur if electricity demand was shifted from daytime hours to nighttime hours, or the total consumption decreased. Policies which incentivize shifting electricity consumption away from periods of high human and environmental impacts should be implemented, including policies directed toward residential consumers. - Highlights: • The impact of residential demand response on air emissions was modeled. • Residential demand response will decrease pollutant emissions in NYC. • Emissions reductions occur during periods with high potential for poor air quality. • Shifting demand to nighttime hours was more beneficial than to off-peak daytime hours

  3. Estimation of Iranian price elasticities of residential electricity demand

    Directory of Open Access Journals (Sweden)

    Yeganeh Mousavi Jahromi

    2014-06-01

    Full Text Available This paper presents a study to determine demand for electricity in city of Yazd, Iran over the period of 1998-2008. Using vector error correction model (VECM based on seasonal information, the study determines that electricity has no elasticity in short term in household expenditure. Therefore, government policy on increasing price of electricity will not influence demand. However, electricity maintains elasticity over the long-term period and an increase on price of electricity could motivate consumers to reduce their consumption by purchasing energy efficient facilities. Therefore, any governmental strategy to increase price may have positive impact on economy. The study also detects a positive and meaningful relationship between temperature and electricity consumption.

  4. Understanding change and continuity in residential energy consumption

    DEFF Research Database (Denmark)

    Gram-Hanssen, Kirsten

    2011-01-01

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

  5. 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.

  6. Meeting residential space heating demand with wind-generated electricity

    International Nuclear Information System (INIS)

    Hughes, Larry

    2010-01-01

    Worldwide, many electricity suppliers are faced with the challenge of trying to integrate intermittent renewables, notably wind, into their energy mix to meet the needs of those services that require a continuous supply of electricity. Solutions to intermittency include the use of rapid-response backup generation and chemical or mechanical storage of electricity. Meanwhile, in many jurisdictions with lengthy heating seasons, finding secure and preferably environmentally benign supplies of energy for space heating is also becoming a significant challenge because of volatile energy markets. Most, if not all, electricity suppliers treat these twin challenges as separate issues: supply (integrating intermittent renewables) and demand (electric space heating). However, if space heating demand can be met from an intermittent supply of electricity, then both of these issues can be addressed simultaneously. One such approach is to use off-the-shelf electric thermal storage systems. This paper examines the potential of this approach by applying the output from a 5.15 MW wind farm to the residential heating demands of detached households in the Canadian province of Prince Edward Island. The paper shows that for the heating season considered, up to 500 households could have over 95 percent of their space heating demand met from the wind farm in question. The benefits as well as the limitations of the approach are discussed in detail. (author)

  7. Accelerating residential PV expansion: supply analysis for competitive electricity markets

    International Nuclear Information System (INIS)

    Payne, Adam; Williams, Robert H.; Duke, Richard

    2001-01-01

    Photovoltaic (PV) technology is now sufficiently advanced that market support mechanisms such as net metering plus a renewable portfolio standard (RPS) could induce rapid PV market growth in grid-connected applications. With such support mechanisms, markets would be sufficiently large that manufacturers could profitably build and operate 100 MW p /yr PV module factories, and electricity costs for residential rooftop PV systems would compare favorably with residential electricity prices in certain areas (e.g., California and the greater New York region in the US). This prospect is illustrated by economic and market analyses for one promising technology (amorphous silicon thin-film PV) from the perspectives of both module manufacturers and buyers of new homes with rooftop PV systems. With public policies that reflect the distributed and environmental benefits offered by PV-and that can sustain domestic PV market demand growth at three times the historical growth rate for a period of the order of two decades - PV could provide 3% of total US electricity supply by 2025. (Author)

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

    OpenAIRE

    McNeil, Michael A.; Letschert, Virginie E.

    2008-01-01

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

  9. 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.

  10. Residential implementation of critical-peak pricing of electricity

    International Nuclear Information System (INIS)

    Herter, Karen

    2007-01-01

    This paper investigates how critical-peak pricing (CPP) affects households with different usage and income levels, with the goal of informing policy makers who are considering the implementation of CPP tariffs in the residential sector. Using a subset of data from the California Statewide Pricing Pilot of 2003-04, average load change during summer events, annual percent bill change, and post-experiment satisfaction ratings are calculated across six customer segments, categorized by historical usage and income levels. Findings show that high-use customers respond significantly more in kW reduction than do low-use customers, while low-use customers save significantly more in percentage reduction of annual electricity bills than do high-use customers-results that challenge the strategy of targeting only high-use customers for CPP tariffs. Across income levels, average load and bill changes were statistically indistinguishable, as were satisfaction rates-results that are compatible with a strategy of full-scale implementation of CPP rates in the residential sector. Finally, the high-use customers earning less than $50,000 annually were the most likely of the groups to see bill increases-about 5% saw bill increases of 10% or more-suggesting that any residential CPP implementation might consider targeting this customer group for increased energy efficiency efforts

  11. Integration of Solar Photovoltaics and Electric Vehicles in Residential Grids

    DEFF Research Database (Denmark)

    Pillai, Jayakrishnan Radhakrishna; Huang, Shaojun; Bak-Jensen, Birgitte

    2013-01-01

    In the last few years, there is an increased penetration of solar photovoltaic (SPV) units in low voltage (LV) distribution grids. Also electric vehicles (EVs) are introduced to these LV networks. This has caused the distribution networks to be more active and complex as these local generation...... and load units are characterised by unpredictable and diverse operating characteristics. This paper analyses the combined effect of SPVs and EVs in LV Danish residential grids. The EVs charging needs based on typical driving patterns of passenger cars and SPV power profiles during winter/summer days...

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

    Directory of Open Access Journals (Sweden)

    Hossein Soltanzadeh

    2015-03-01

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

  13. 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.

  14. 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

  15. Social and cultural dimensions of electricity consumptions

    International Nuclear Information System (INIS)

    Nikgohar, A. H.; Rafatjah, M.; Fazeli, M.; Kolahi, M. R.

    2003-01-01

    Human actions are not affected mainly by their needs or the reflection of their actions, but also with various environmental factors which are not formed just by the human needs or by the rational calculation of behavior consequences. We can divide the human environment by two types: p hysical vironment a nd s ocial environment . In this article e lectricity consumption i s considered as a human action. The aim of this article which is based on a survey is introducing some of the most important factors that affect on household e lectricity consumption . Here s ocial class a nd e nergy consciousness h ave been two important factors which we have studied their effects on electricity consumption and consumption behavior

  16. Electricity Consumption Clustering Using Smart Meter Data

    Directory of Open Access Journals (Sweden)

    Alexander Tureczek

    2018-04-01

    Full Text Available Electricity smart meter consumption data is enabling utilities to analyze consumption information at unprecedented granularity. Much focus has been directed towards consumption clustering for diversifying tariffs; through modern clustering methods, cluster analyses have been performed. However, the clusters developed exhibit a large variation with resulting shadow clusters, making it impossible to truly identify the individual clusters. Using clearly defined dwelling types, this paper will present methods to improve clustering by harvesting inherent structure from the smart meter data. This paper clusters domestic electricity consumption using smart meter data from the Danish city of Esbjerg. Methods from time series analysis and wavelets are applied to enable the K-Means clustering method to account for autocorrelation in data and thereby improve the clustering performance. The results show the importance of data knowledge and we identify sub-clusters of consumption within the dwelling types and enable K-Means to produce satisfactory clustering by accounting for a temporal component. Furthermore our study shows that careful preprocessing of the data to account for intrinsic structure enables better clustering performance by the K-Means method.

  17. Strong economic growth driving increased electricity consumption

    International Nuclear Information System (INIS)

    Tiusanen, P.

    2000-01-01

    The Finnish economy is growing faster today than anyone dared hope only a few years ago. Growth estimates for 2000 have already had to be raised. This strong level of economic growth has been reflected in electricity consumption, which has continued to increase, despite the exceptionally warm winter. A major part of this increased electricity usage has so far been met through imports. The continued growth in electricity imports has largely been a result of the fact that the good water level situation in Sweden and Norway, together with the mild winter, has kept electricity prices exceptionally low on the Nordic electricity exchange. The short period of low temperatures seen at the end of January showed, however, that this type of temperature fluctuation, combined with the restrictions that exist in regard to transfer capacity, can serve to push Nordic exchange electricity prices to record levels. This increase in price also highlights the fact that we are approaching a situation in which capacity will be insufficient to meet demand. A truly tough winter has not been seen since the Nordic region's electricity markets were deregulated. The lesson that needs to be learnt is that Finland needs sufficient capacity of her own to meet demand even during particularly cold winters. Finland used 77.9 billion kWh of electricity last year, up 1.6% or 1.3 billion kWh on 1998. This growth was relatively evenly distributed among different user groups. This year, electricity consumption is forecast to grow by 2-3%

  18. 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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2007-07-01

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

  20. Residential fuelwood consumption in the southeastern U.S

    International Nuclear Information System (INIS)

    Christiansen, E.H.; Larsen, M.D.; Rejda, Karen; Bliss, J.C.; Nepal, S.K.

    1993-01-01

    A telephone survey of households in 13 states in the southeastern U.S. determined residential fuelwood acquisition and use for heating during the 1991 heating season. Although wood burning accounted for only 10% of the total household heat requirement of the region, it accounted for 51% of the total heat requirements of wood-burning households. One-quarter (25%) of the households burned wood, consuming almost 9 million standard cords. Three-quarters (77%) of wood-burning households reported that wood burning contributed to household heating requirements. Wood as a source of home heating was particularly important to low income households, both rural and urban. Wood is the sole source of home heating for 17% of the wood-burning households in the regions. (Author)

  1. Analysis and Prediction of Electricity Consumption Using Smart Meter Data

    OpenAIRE

    Sauhats, A; Varfolomejeva, R; Linkevičs, O; Petričenko, R; Kuņickis, M; Balodis, M

    2015-01-01

    This paper is considering application of smart meter data to predict electricity consumption of household consumers. The availability and amount of data is suitable for in- depth statistical analysis of electricity consumption profiles and the study of consumer’s behavior. Prediction of electricity consumption is very important for electricity traders to balance their electricity purchase and sales portfolio, as well as to prepare optimal price products (offers) for their clients. Electricity...

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

    NARCIS (Netherlands)

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

    2014-01-01

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

  3. Photovoltaic electricity generation: Value for residential and commercial sectors

    Science.gov (United States)

    Bhattacharjee, Ujjwal

    The photovoltaic (PV) industry in the US has seen an upsurge in recent years, and PV holds great promise as a renewable technology with no greenhouse gas emissions with its use. We aim to assess the value of PV based electricity for users in the residential and commercial sectors focusing on the financial impacts it has, which may not be greatly recognized. Specifically, we pursue two goals. First, the emerging 'renewable portfolio standard (RPS)' adopted in several states in the country has been a driving force for large scale PV deployment, but financial incentives offered to PV in different RPS states differ considerably. We use life cycle cost model to estimate the cost of PV based electricity for thirty-two RPS states in the country. Results indicate that the levelized cost of PV electricity is high (40 to 60 Cents/kWh). When the contribution of the financial incentives (along with the cost of energy saved) is taken into account, the cost of PV based electricity is negative in some RPS states such as California, New Jersey, New York, while for most of the RPS states the cost of PV electricity continues to remain high. In addition, the states with negative or low cost of PV electricity have been driving the PV diffusion in the residential sector. Therefore, a need to adjust the financial incentive structure in different RPS states is recommended for homogenous development of the residential PV market in the country. Second, we assess the value of the PV in reducing the highest peak load demand in commercial buildings and hence the high value demand charge. The Time-of-Use (TOU) based electricity tariff is widely used by electric utilities in the commercial sector. Energy and peak load are two important facets of the TOU tariff regime. Tools are well established to estimate the energy contribution from a PV system (installed in a commercial building), but not power output on a short time interval. A joint conditional probability model has been developed that

  4. The long-run price sensitivity dynamics of industrial and residential electricity demand: The impact of deregulating electricity prices

    International Nuclear Information System (INIS)

    Adom, Philip Kofi

    2017-01-01

    This study examines the demand-side of Ghana's electricity sector. We test two important related hypotheses: (1) deregulation of electricity price does not promote energy conservation, and (2) demand-price relationship is not an inverted U-shaped. The Stock and Watson dynamic OLS is used to address the so-called second-order bias. The result showed that, deregulation of electricity price in Ghana has induced behaviours that are more consistent with energy conservation improvements. The demand-price relationship is an inverted U, which suggests that there is a price range that end-users can tolerate further price rise and still increase their consumption of electricity. However, the degree of price tolerability is higher for residential consumers than industrial consumers. The simulation results showed that, further economic growth is likely to compromise energy conservation but more in the industrial sector than the residential sector. On the other hand, future crude oil price is likely to deteriorate energy conservation in the initial years after 2016, but this trend is likely to reverse after the year 2020. Pricing mechanisms are potent to induce energy conservation but inadequate. The results suggest that they should be complemented with other stringent policies such as a mandatory energy reduction policy, investment in renewables, and personalization of energy efficiency programs. - Highlights: • Studies the demand-side of the electricity sector • Deregulating electricity price promotes energy conservation • Demand-price relationship is an inverted U-shaped • Pricing policies should be combined with other energy mandatory reduction policies

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

    Science.gov (United States)

    Murray, Patrick L.

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

  6. Electricity consumption and economic growth: evidence from Korea

    International Nuclear Information System (INIS)

    Yoo, Seung-Hoon

    2005-01-01

    This paper investigates the short- and long-run causality issues between electricity consumption and economic growth in Korea by using the co-integration and error-correction models. It employs annual data covering the period 1970-2002. The overall results show that there exists bi-directional causality between electricity consumption and economic growth. This means that an increase in electricity consumption directly affects economic growth and that economic growth also stimulates further electricity consumption

  7. Linear and nonlinear causality between sectoral electricity consumption and economic growth: Evidence from Taiwan

    International Nuclear Information System (INIS)

    Yang, Cheng-Lang; Lin, Hung-Pin; Chang, Chih-Heng

    2010-01-01

    This study investigates the linear and nonlinear causality between the total electricity consumption (TEC) and real gross domestic production (RGDP). Unlike previous literature, we solve the undetermined relation between RGDP and electricity consumption by classifying TEC into industrial sector consumption (ISC) and residential sector consumption (RSC) as well as investigating how TEC, ISC, and RSC influence Taiwan's RGDP. By using the Granger's linear causality test, it is shown that (i) there is a bidirectional causality among TEC, ISC, and RGDP, but a neutrality between RSC and RGDP with regard to the linear causality and (ii) there is still a bidirectional causality between TEC and RGDP, but a unidirectional causality between RSC and RGDP with regard to the nonlinear causality. On the basis of (i) and (ii), we suggest that the electricity policy formulators loosen the restriction on ISC and limit RSC in order to achieve the goal of economic growth.

  8. Accelerating residential PV expansion: demand analysis for competitive electricity markets

    International Nuclear Information System (INIS)

    Duke, Richard; Williams, Robert; Payne, Adam

    2005-01-01

    This article quantifies the potential market for grid-connected, residential photovoltaic (PV) electricity integrated into new homes built in the US. It complements an earlier supply-side analysis by the authors that demonstrates the potential to reduce PV module prices below $1.5/W p by scaling up existing thin-film technology in 100 MW p /yr manufacturing facilities. The present article demonstrates that, at that price, PV modules may be cost effective in 125,000 new home installations per year (0.5 GW p /yr). While this market is large enough to support multiple scaled up thin-film PV factories, inefficient energy pricing and demand-side market failures will inhibit prospective PV consumers without strong public policy support. Net metering rules, already implemented in many states to encourage PV market launch, represent a crude but reasonable surrogate for efficient electricity pricing mechanisms that may ultimately emerge to internalize the externality benefits of PV. These public benefits include reduced air pollution damages (estimated costs of damage to human health from fossil fuel power plants are presented in Appendix A), deferral of transmission and distribution capital expenditures, reduced exposure to fossil fuel price risks, and increased electricity system reliability for end users. Thus, net metering for PV ought to be implemented as broadly as possible and sustained until efficient pricing is in place. Complementary PV 'buydowns' (e.g., a renewable portfolio standard with a specific PV requirement) are needed to jumpstart regional PV markets

  9. Application of urban neighborhoods in understanding of local level electricity consumption patterns

    Science.gov (United States)

    Roy Chowdhury, P. K.; Bhaduri, B. L.

    2017-12-01

    Aggregated national or regional level electricity consumption data fail to capture the spatial variation in consumption, a function of location, climate, topography, and local economics. Spatial monitoring of electricity usage patterns helps to understand derivers of location specific consumption behavior and develop models to cater to the consumer needs, plan efficiency measures, identify settled areas lacking access, and allows for future planning through assessing requirements. Developed countries have started to deploy sensor systems such as smart meters to gather information on local level consumption patterns, but such infrastructure is virtually nonexistent in developing nations, resulting in serious dearth of reliable data for planners and policy makers. Remote sensing of artificial nighttime lights from human settlements have proven useful to study electricity consumptions from global to regional scales, however, local level studies remain scarce. Using the differences in spatial characteristics among different urban neighborhoods such as industrial, commercial and residential, observable through very high resolution day time satellite images (lights observations, which we use as a proxy for electricity consumption in the absence of ground level consumption data. The overall trends observed through this analysis provides useful explanations helping in understanding of broad electricity consumption patterns in urban areas lacking ground level observations. This study thus highlights possible application of remote sensing data driven methods in providing novel insights into local level socio-economic patterns that were hitherto undetected due to lack of ground data.

  10. The Impact of Socio-Economic Indicators on Sustainable Consumption of Domestic Electricity in Lithuania

    Directory of Open Access Journals (Sweden)

    Sergej Vojtovic

    2018-01-01

    Full Text Available Lithuania is one of the EU Member States, where the rate of energy consumption is comparatively low but consumption of electricity has been gradually increasing over the last few years. Despite this trend, households in only three EU Member States consume less electricity than Lithuanian households. The purpose of this research is to analyse the impact of socio-economic factors on the domestic electricity consumption in Lithuania, i.e., to establish whether electricity consumption is determined by socio-economic conditions or population’s awareness to save energy. Cointegration analysis, causality test and error-correction model were used for the analysis. The results reveal that there is a long run equilibrium relationship between residential electricity consumption per capita and GDP at current prices as well as the ratio of the registered unemployed to the working-age population. In consequence, the results of the research propose that improvement of living standards for Lithuanian community calls for the necessity to pay particular attention to the promotion of sustainable electricity consumption by providing consumers with appropriate information and feedback in order to seek new energy-related consumption practices.

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

    International Nuclear Information System (INIS)

    Yu, Hyun Jin Julie

    2017-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1998-05-01

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

  13. 77 FR 2743 - Recovery Directorate Fact Sheet 9580.213, Residential Electrical Meter Repair-“Power Up”

    Science.gov (United States)

    2012-01-19

    ...] Recovery Directorate Fact Sheet 9580.213, Residential Electrical Meter Repair--``Power Up'' AGENCY: Federal..., Residential Electrical Meter Repair--``Power Up.'' DATES: Comments must be received by February 21, 2012... authority, FEMA may fund the repair of residential electrical meters damaged in a major disaster or...

  14. Households' hourly electricity consumption and peak demand in Denmark

    DEFF Research Database (Denmark)

    Møller Andersen, Frits; Baldini, Mattia; Hansen, Lars Gårn

    2017-01-01

    consumption, we analyse the contribution of appliances and new services, such as individual heat pumps and electric vehicles, to peak consumption and the need for demand response incentives to reduce the peak.Initially, the paper presents a new model that represents the hourly electricity consumption profile...... of households in Denmark. The model considers hourly consumption profiles for different household appliances and their contribution to annual household electricity consumption. When applying the model to an official scenario for annual electricity consumption, assuming non-flexible consumption due...... to a considerable introduction of electric vehicles and individual heat pumps, household consumption is expected to increase considerably, especially peak hour consumption is expected to increase.Next the paper presents results from a new experiment where household customers are given economic and/or environmental...

  15. Electricity consumption and economic growth in seven South American countries

    International Nuclear Information System (INIS)

    Yoo, Seung-Hoon; Kwak, So-Yoon

    2010-01-01

    This paper attempts to investigate the causal relationship between electricity consumption and economic growth among seven South American countries, namely Argentina, Brazil, Chile, Columbia, Ecuador, Peru, and Venezuela using widely accepted time-series techniques for the period 1975-2006. The results indicate that the causal nexus between electricity consumption and economic growth varies across countries. There is a unidirectional, short-run causality from electricity consumption to real GDP for Argentina, Brazil, Chile, Columbia, and Ecuador. This means that an increase in electricity consumption directly affects economic growth in those countries. In Venezuela, there is a bidirectional causality between electricity consumption and economic growth. This implies that an increase in electricity consumption directly affects economic growth and that economic growth also stimulates further electricity consumption in that country. However, no causal relationships exist in Peru. The documented evidence from seven South American countries can provide useful information for each government with regard to energy and growth policy.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2012-11-15

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

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

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

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

  18. Market-based Demand Response via Residential Plug-in Electric Vehicles in Smart Grids

    OpenAIRE

    Rassaei, Farshad; Soh, Wee-Seng; Chua, Kee-Chaing

    2015-01-01

    Flexibility in power demand, diverse usage patterns and storage capability of plug-in electric vehicles (PEVs) grow the elasticity of residential electricity demand remarkably. This elasticity can be utilized to form the daily aggregated demand profile and/or alter instantaneous demand of a system wherein a large number of residential PEVs share one electricity retailer or an aggregator. In this paper, we propose a demand response (DR) technique to manage vehicle-to-grid (V2G) enabled PEVs' e...

  19. Climatic influence on electricity consumption: The case of Singapore and Hong Kong

    International Nuclear Information System (INIS)

    Ang, B.W.; Wang, H.; Ma, Xiaojing

    2017-01-01

    Global warming and the associated risks for natural and human systems have been major global concerns. The International Panel on Climate Change (IPCC) has projected average global surface temperature to increase by between 0.3 °C and 4.8 °C by the end of this century, depending on the greenhouse gas emission scenarios assessed. In the tropical and sub-tropical regions increases in temperature will lead to greater use of electricity for space cooling, a development that is undesirable from energy and sustainability viewpoints. We investigate how temperature increases affect electricity consumption in Singapore and Hong Kong. This is done by consuming sector, i.e. residential, commercial and industrial. Singapore and Hong Kong are respectively two tropical and subtropical cities with comparable physical, population and economy sizes. Two different approaches are used to relate their sectoral electricity consumption to temperature using regression analysis. It is estimated that total annual electricity consumption would increase by between 3% and 4% in Singapore in 2015 if there were to be a 1 °C rise in temperature. The corresponding estimates for Hong Kong are between 4% and 5%. In both cities, increases would be the greatest in the residential sector, followed by the commercial sector and the industrial sector. - Highlights: • Growth and changes in electricity consumption in Singapore and Hong Kong over the past 25 years are compared. • Relationships between electricity consumption and temperature by consuming sector are modelled. • Two statistical approaches are used to study the relationships. • Impacts of a 1 °C rise in temperature on sectoral and total electricity consumption are estimated.

  20. 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

  1. Study on reduction of consumption and peak demand of electric power used in residential houses with solar heating and PV systems; Solar house no fuka heijunka to energy sakugen koka ni kansuru kenkyu

    Energy Technology Data Exchange (ETDEWEB)

    Udagawa, M.; Endo, T. [Kogakuin University, Tokyo (Japan)

    1994-12-08

    A model house was simulated to reduce the consumption and peak demand for the photovoltaic power generation system, and solar heat air heating and hot water supply system in the solar house. As a type of construction, both wooden construction and reinforced concrete (RC) construction were selected with a total floor area of 125m{sup 2}. All the rooms were equipped with an air conditioner by heat pump from the air thermal source. A solar heat floor heater was simultaneously installed on the first floor. The hot water supply load was 4.8MWh per year. A commercial grid-connected on-site system was applied to the photovoltaic power generation with a 20m{sup 2} wide monocrystalline Si solar cell panel. As for the fluctuation in power load, the peak at the time of rising is more reduced in the RC house than in the wooden house, because the former is smaller in temperature fluctuation than the latter during the intermittence of air conditioning (as per the specified operational schedule). Therefore, the power is more leveled off in the former than in the latter. Between both, difference was hardly made in energy consumption per year. The ratio of dependency was 47% upon the photovoltaic power generation system, while it was 50% and 77%, under the air heating power load and hot water supply power load, respectively, upon the solar heat air heating and hot water supply system, so that both systems were considerably effective in saving the energy. 5 refs., 7 figs., 1 tab.

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

    Energy Technology Data Exchange (ETDEWEB)

    1993-09-24

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2012-12-01

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

  4. Electricity consumption, industrial production, and entrepreneurship in Singapore

    International Nuclear Information System (INIS)

    Sun, Sizhong; Anwar, Sajid

    2015-01-01

    Within the context of a tri-variate vector autoregressive framework that includes entrepreneurship, this paper examines the link between electricity consumption and industrial production in Singapore's manufacturing sector. Unlike the existing studies, this paper focuses on one sector of the economy and utilises a unique monthly dataset. Empirical analysis based on Johansen's cointegration approach shows that the three variables are cointegrated – i.e., a stable long-run relationship exists among electricity consumption, output and entrepreneurship in Singapore's manufacturing sector. Empirical analysis based on data from January 1983 to February 2014 reveals that electricity consumption adjusts very slowly to shocks to industrial production and entrepreneurship. Furthermore, entrepreneurship Granger causes electricity consumption, which causes industrial production. As electricity consumption causes industrial output, the growth hypothesis concerning energy consumption and economic growth holds in Singapore's manufacturing sector and policies that restrict electricity production, without electricity imports, are likely to lead to a decline in the manufacturing output. - Highlights: • Using a unique monthly dataset, we focus on Singapore's manufacturing sector. • Electricity consumption, output and entrepreneurship are cointegrated. • Electricity consumption adjusts very slowly to shocks to the other variables. • Entrepreneurship causes electricity consumption which causes industrial production. • We find that growth hypothesis governs the electricity consumption and real output

  5. Unleashing Flexibility from Electric Boilers and Heat Pumps in Danish Residential Distribution Network

    DEFF Research Database (Denmark)

    Sinha, Rakesh; Bak-Jensen, Birgitte; Pillai, Jayakrishnan Radhakrishna

    2018-01-01

    and thereby improving its techno-economic efficiency. The data used for the evaluation are also from the real household sites in Denmark provided by the district heating utility. Focus is on the low-voltage grid, and that’s very relevant since many doesn’t expect any flexibility from that voltage level. Study...... this model is compared to responses from an average model of the hot water storage tank to evaluate the benefit of the more detailed model. Finally, analysis on consumption patterns of electrical and thermal loads in residential buildings in Northern Jutland, Denmark, are used for analysis of the system...... and use of thermal units as flexible consumer loads in the low voltage (LV) distribution network grid. The models of EB and HP with storage tank are briefly discussed in relation to the actual control and flexibility based on grid condition and status of storage tank temperature or position...

  6. Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering

    OpenAIRE

    Darghouth, Naim Richard

    2013-01-01

    Net metering has become a widespread policy mechanism in the U.S. for supporting customer adoption of distributed photovoltaics (PV), allowing customers with PV systems to reduce their electric bills by offsetting their consumption with PV generation, independent of the timing of the generation relative to consumption. Although net metering is one of the principal drivers for the residential PV market in the U.S., the academic literature on this policy has been sparse and this dissertation co...

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

    Directory of Open Access Journals (Sweden)

    Christian Pötzinger

    2015-08-01

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

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

    International Nuclear Information System (INIS)

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

    2012-01-01

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

  9. Forecasting electricity consumption in Pakistan: the way forward

    International Nuclear Information System (INIS)

    Hussain, Anwar; Rahman, Muhammad; Memon, Junaid Alam

    2016-01-01

    Growing shortfall of electricity in Pakistan affects almost all sectors of its economy. For proper policy formulation, it is imperative to have reliable forecasts of electricity consumption. This paper applies Holt-Winter and Autoregressive Integrated Moving Average (ARIMA) models on time series secondary data from 1980 to 2011 to forecast total and component wise electricity consumption in Pakistan. Results reveal that Holt-Winter is the appropriate model for forecasting electricity consumption in Pakistan. It also suggests that electricity consumption would continue to increase throughout the projected period and widen the consumption-production gap in case of failure to respond the issue appropriately. It further reveals that demand would be highest in the household sector as compared to all other sectors and the increase in the energy generation would be less than the increase in total electricity consumption throughout the projected period. The study discuss various options to reduce the demand-supply gap and provide reliable electricity to different sectors of the economy. - Highlights: • We forecast total and component wise electricity consumption for Pakistan. • Electricity shortfall in Pakistan will increase in future if same situation exists. • Various options exist to cope with the electricity crisis in the country. • Holt-winter model gives best forecasts for electricity consumption in the country.

  10. Causality relationship between electricity consumption and GDP in Bangladesh

    International Nuclear Information System (INIS)

    Mozumder, Pallab; Marathe, Achla

    2007-01-01

    In this paper, we examine the causal relationship between the per capita electricity consumption and the per capita GDP for Bangladesh using cointegration and vector error correction model. Our results show that there is unidirectional causality from per capita GDP to per capita electricity consumption. However, the per capita electricity consumption does not cause per capita GDP in case of Bangladesh. The finding has significant implications from the point of view of energy conservation, emission reduction and economic development

  11. Quantifying the Flexibility of Residential Electricity Demand in 2050: a Bottom-Up Approach

    OpenAIRE

    van Stiphout, Arne; Engels, Jonas; Guldentops, Dries; Deconinck, Geert

    2015-01-01

    This work presents a new method to quantify the flexibility of automatic demand response applied to residential electricity demand using price elasticities. A stochastic bottom-up model of flexible electricity demand in 2050 is presented. Three types of flexible devices are implemented: electrical heating, electric vehicles and wet appliances. Each house schedules its flexible demand w.r.t. a varying price signal, in order to minimize electricity cost. Own- and cross-price elasticities are ob...

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

    Science.gov (United States)

    Reyna, Janet L; Chester, Mikhail V

    2017-05-15

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

  13. Private electricity consumption on the rise -- the impact of networking

    International Nuclear Information System (INIS)

    Aebischer, B.; Huser, A.

    2001-01-01

    This article discusses the effect of the networking of the various devices to be found in the average home and the trend towards increased electricity consumption that will be brought about by 'intelligent' houses. Different scenarios for the increase in electricity consumption due to the increased use of multimedia systems - from the personal computer and mobile phones to hi-fi systems and the Internet are discussed. The contrasting tendencies noted in this area - such as, for example, the use of electricity to operate systems that are used to optimise and thus reduce electricity consumption in general are also discussed. Also, indirect energy-reduction effects in other areas - such as traffic reduction as a result of tele-working - are examined. Results of simulations and prognoses made concerning future trends for the electricity consumption of the various devices in homes are presented and recommendations are made on how to keep electricity consumption low when networking domestic apparatus

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

    International Nuclear Information System (INIS)

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

    2015-01-01

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

  15. Slag Evaluation to Reduce Energy Consumption and EAF Electrical Instability

    OpenAIRE

    Vieira,Deisi; Almeida,Rodolfo Arnaldo Montecinos de; Bielefeldt,Wagner Viana; Vilela,Antônio Cezar Faria

    2016-01-01

    In steel mills that operate with electric arc furnaces (EAF), it is interesting to ensure greater stability to the electric arc to aim at less distortion in the electrical system, with consequent reduction in electric power consumption. The slag foaming increases electric arc stability by reducing the total harmonic distortion (THD) between EAF phases. In this study, information about the chemical composition of the slag and electrical parameters of an EAF were collected. With the composition...

  16. Power Consumption Analysis of Electrical Installations at Healthcare Facility

    Directory of Open Access Journals (Sweden)

    Emmanuel Guillen-Garcia

    2017-01-01

    Full Text Available This paper presents a methodology for power consumption estimation considering harmonic and interharmonic content and then it is compared to the power consumption estimation commonly done by commercial equipment based on the fundamental frequency, and how they can underestimate the power consumption considering power quality disturbances (PQD. For this purpose, data of electrical activity at the electrical distribution boards in a healthcare facility is acquired for a long time period with proprietary equipment. An analysis in the acquired current and voltage signals is done, in order to compare the power consumption centered in the fundamental frequency with the generalized definition of power consumption. The results obtained from the comparison in the power consumption estimation show differences between 4% and 10% of underestimated power consumption. Thus, it is demonstrated that the presence of harmonic and interharmonic content provokes a significant underestimation of power consumption using only the power consumption centered at the fundamental frequency.

  17. Massive coordination of residential embedded electricity generation and demand response using the PowerMatcher approach

    International Nuclear Information System (INIS)

    Kamphuis, I.G.; Hommelberg, M.P.F.; Warmer, C.J.; Kok, J.K.

    2007-01-01

    Different driving forces push the electricity production towards decentralization. The projected increase of distributed power generation on the residential level with an increasing proportion of intermittent renewable energy resources poses problems for continuously matching the energy balance when coordination takes place centrally. On the other hand, new opportunities arise by intelligent clustering of generators and demand in so-called Virtual Power Plants. Part of the responsibility for new coordination mechanisms, then, has to be laid locally. To achieve this, the current electricity infrastructure is expected to evolve into a network of networks (including ICT (Information and Communication Technology)-networks), in which all system parts communicate with one another, are aware of each other's context and may influence each other. In this paper, a multi-agent systems approach, using price signal-vectors from an electronic market is presented as an appropriate technology needed for massive control and coordination tasks in these future electricity networks. The PowerMatcher, a market-based control concept for supply and demand matching (SDM) in electricity networks, is discussed. The results within a simulation study show the ability to raise the simultaneousness of electricity production and consumption within (local) control clusters with cogeneration and heat-pumps by exchanging price signals and coordinated allocation using market algorithms. The control concept, however, can also be applied in other business cases like reduction of imbalance cost in commercial portfolios or virtual power plant operators, utilizing distributed generators. Furthermore, a PowerMatcher-based field test configuration with 15 Stirling-engine powered micro-CHP's is described, which is currently in operation within a field test in the Netherlands

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

    Energy Technology Data Exchange (ETDEWEB)

    Letschert, Virginie; McNeil, Michael A.

    2008-05-13

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

  19. SIZING AND COSTING OPTIMISATION OF A TYPICAL WIND/PV HYBRID ELECTRICITY GENERATION SYSTEM FOR A TYPICAL RESIDENTIAL BUILDING IN URBAN ARMIDALE NSW, AUSTRALIA

    Directory of Open Access Journals (Sweden)

    Yasser Maklad

    2014-04-01

    Full Text Available This study investigates the wind and solar electricity generation availability and potentiality for residential buildings in Armidale NSW, Australia. The main purpose of this study is to design an appropriate wind-PV hybrid system to cover the electricity consumption of typical residential buildings of various occupancy rates and relevant various average electrical daily consumption. In order to do achieve that, monthly average solar irradiance monthly average wind speed historical data observed at weather station belongs to the Australian bureau of meteorology in Armidale town over a fourteen years period from 1997–2010. Simulation of solar photovoltaic panels and wind turbines were conducted to obtain the optimal hybrid system sizing and best efficient with lowest cost. Correlations between the solar and wind power data were carried out on an hourly, daily, and monthly basis. It is shown that the hybrid system can be applied for the efficient and economic utilization of wind and solar renewable energy sources.

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

    International Nuclear Information System (INIS)

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

    2016-01-01

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

  1. Impact of Uncoordinated Plug-in Electric Vehicle Charging on Residential Power Demand

    Energy Technology Data Exchange (ETDEWEB)

    Muratori, Matteo [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2018-01-22

    Electrification of transport offers opportunities to increase energy security, reduce carbon emissions, and improve local air quality. Plug-in electric vehicles (PEVs) are creating new connections between the transportation and electric sectors, and PEV charging will create opportunities and challenges in a system of growing complexity. Here, I use highly resolved models of residential power demand and PEV use to assess the impact of uncoordinated in-home PEV charging on residential power demand. While the increase in aggregate demand might be minimal even for high levels of PEV adoption, uncoordinated PEV charging could significantly change the shape of the aggregate residential demand, with impacts for electricity infrastructure, even at low adoption levels. Clustering effects in vehicle adoption at the local level might lead to high PEV concentrations even if overall adoption remains low, significantly increasing peak demand and requiring upgrades to the electricity distribution infrastructure. This effect is exacerbated when adopting higher in-home power charging.

  2. Impact of uncoordinated plug-in electric vehicle charging on residential power demand

    Science.gov (United States)

    Muratori, Matteo

    2018-03-01

    Electrification of transport offers opportunities to increase energy security, reduce carbon emissions, and improve local air quality. Plug-in electric vehicles (PEVs) are creating new connections between the transportation and electric sectors, and PEV charging will create opportunities and challenges in a system of growing complexity. Here, I use highly resolved models of residential power demand and PEV use to assess the impact of uncoordinated in-home PEV charging on residential power demand. While the increase in aggregate demand might be minimal even for high levels of PEV adoption, uncoordinated PEV charging could significantly change the shape of the aggregate residential demand, with impacts for electricity infrastructure, even at low adoption levels. Clustering effects in vehicle adoption at the local level might lead to high PEV concentrations even if overall adoption remains low, significantly increasing peak demand and requiring upgrades to the electricity distribution infrastructure. This effect is exacerbated when adopting higher in-home power charging.

  3. Potential Effect and Analysis of High Residential Solar Photovoltaic (PV Systems Penetration to an Electric Distribution Utility (DU

    Directory of Open Access Journals (Sweden)

    Jeffrey Tamba Dellosa

    2016-11-01

    Full Text Available The Renewable Energy Act of 2008 in the Philippines provided an impetus for residential owners to explore solar PV installations at their own rooftops through the Net-Metering policy. The Net-Metering implementation through the law however presented some concerns with inexperienced electric DU on the potential effect of high residential solar PV system installations. It was not known how a high degree of solar integration to the grid can possibly affect the operations of the electric DU in terms of energy load management. The primary objective of this study was to help the local electric DU in the analysis of the potential effect of high residential solar PV system penetration to the supply and demand load profile in an electric distribution utility (DU grid in the province of Agusan del Norte, Philippines. The energy consumption profiles in the year 2015 were obtained from the electric DU operating in the area. An average daily energy demand load profile was obtained from 0-hr to the 24th hour of the day based from the figures provided by the electric DU. The assessment part of the potential effect of high solar PV system integration assumed four potential total capacities from 10 Mega Watts (MW to 40 MW generated by all subscribers in the area under study at a 10 MW interval. The effect of these capacities were measured and analyzed with respect to the average daily load profile of the DU. Results of this study showed that a combined installations beyond 20 MWp coming from all subscribers is not viable for the local electric DU based on their current energy demand or load profile. Based from the results obtained, the electric DU can make better decisions in the management of high capacity penetration of solar PV systems in the future, including investment in storage systems when extra capacities are generated. Article History: Received July 15th 2016; Received in revised form Sept 23rd 2016; Accepted Oct 1st 2016; Available online How to Cite

  4. Price freezes, durables and residential electricity demand - Evidence from the Greater Buenos Aires

    Energy Technology Data Exchange (ETDEWEB)

    Casarin, Ariel; Delfino, Maria Eugenia

    2010-09-15

    This paper examines the determinants of residential electricity demand in the Greater Buenos Aires between 1997 and 2006. During the second half of this period, residential tariffs remained nominally fixed, while an income boom boosted up the sales of durables. This study differs from previous works in that it explicitly considers the impact of the stock of air-conditioners on residential demand. The paper reports short- and long-run elasticities and examines the contribution of prices and durables to recent demand growth. Simulations illustrate the impact of prices and durables on future demand.

  5. 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)

  6. Electricity consumption-GDP nexus in Pakistan: A structural time series analysis

    International Nuclear Information System (INIS)

    Javid, Muhammad; Qayyum, Abdul

    2014-01-01

    This study investigates the relationships among electricity consumption, real economic activity, real price of electricity and the UEDT (underlying energy demand trend) at the aggregate and sectoral levels, namely, for the residential, commercial, industrial, and agricultural sectors. To achieve this goal, an electricity demand function for Pakistan is estimated by applying the structural time series technique to annual data for the period from 1972 to 2012. In addition to identifying the size and significance of the price and income elasticities, this technique also uncovers UEDT for the whole economy as well as for sub-sectors. The results suggest that the nature of the trend is not linear and deterministic but stochastic in form. The UEDT for the electricity usage of the commercial, agricultural and residential sectors shows an upward slope. This upward slope of the UEDT suggests that either energy efficient equipment has not been introduced in these sectors or any energy efficiency improvements due to technical progress is outweighed by other exogenous factors. - Highlights: • Electricity demand function is estimated by applying the STSM approach. • The results suggest that nature of trend is stochastic in form. • Low price elasticity reflects weak link between the electricity price and demand. • Low price elasticity implies that demand did not react to changes in price

  7. Comments on the Calculations of Specific Electricity and Fuel Consumption

    DEFF Research Database (Denmark)

    Jørgensen, Kaj

    1996-01-01

    Calculation of specific consumption of electricity and fuel for model electrical vehicles (passenger cars and vans). Both the present technological level and projected future technological developments. Used as background paper for a review of the scope for electrical vehicles in Denmark, carried...

  8. 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 ...

  9. Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble

    Energy Technology Data Exchange (ETDEWEB)

    Aman, Saima; Chelmis, Charalampos; Prasanna, Viktor

    2016-02-12

    Utilities use Demand Response (DR) to balance supply and demand in the electric grid by involving customers in efforts to reduce electricity consumption during peak periods. To implement and adapt DR under dynamically changing conditions of the grid, reliable prediction of reduced consumption is critical. However, despite the wealth of research on electricity consumption prediction and DR being long in practice, the problem of reduced consumption prediction remains largely un-addressed. In this paper, we identify unique computational challenges associated with the prediction of reduced consumption and contrast this to that of normal consumption and DR baseline prediction.We propose a novel ensemble model that leverages different sequences of daily electricity consumption on DR event days as well as contextual attributes for reduced consumption prediction. We demonstrate the success of our model on a large, real-world, high resolution dataset from a university microgrid comprising of over 950 DR events across a diverse set of 32 buildings. Our model achieves an average error of 13.5%, an 8.8% improvement over the baseline. Our work is particularly relevant for buildings where electricity consumption is not tied to strict schedules. Our results and insights should prove useful to the researchers and practitioners working in the sustainable energy domain.

  10. Reducing the electricity consumption of small ventilation installations; Reduktion des Elektrizitaetsverbrauchs von Klein-Lueftungsanlagen - Schlussbericht

    Energy Technology Data Exchange (ETDEWEB)

    Furter, R.; Casartelli, E.; Lang, M.

    2010-03-15

    This final report for the Swiss Federal Office of Energy (SFOE) takes a look at how the electricity consumption of small ventilation installations can be reduced. Residential ventilation systems - also known as comfort ventilation systems - have to fulfil demands placed on energy efficiency, comfort and hygiene. The results of exemplary measurements of the electrical power consumption that have been made in order to estimate the current situation of ventilation systems and of air handling units in apartments and single family houses are presented and discussed. Air networks were simulated at nominal air flow with different pressure losses for nine different ventilation units. The most important conclusion of this work is quoted as being that the internal pressure losses of the ventilation units have to be reduced and the design recommendation for the air network has to be reconsidered. Also the authors are of the opinion that hygiene requirements must be more rigorously respected.

  11. Why is electricity consumption inconsistent with economic growth in China?

    International Nuclear Information System (INIS)

    Lin, Boqiang; Liu, Chang

    2016-01-01

    Studies have indicated that there exists a relatively stable and positive correlation between electricity consumption and economic growth and there should not be a large deviation between them. However, the deviation between electricity consumption and economic growth in China during the Asian Financial Crisis and Global Economic Crisis sparks intense debates. We attempt to explain the deviation from the perspective of inventory investment adjustment in the business cycle using the SVAR model in this paper. The results show that the effects of inventory investment adjustment shock and electricity consumption structure shock on the deviation are positive but tend to be negative for electricity efficiency shock. The results of historical decomposition of these shocks also show that the inventory investment adjustment shock is the main factor that influences the deviation during the Global Economic Crisis. Economic fluctuation in the short term can not change the economic development pattern and the characteristics of electricity demand. Once the economy returns to stable growth, the deviation between electricity consumption and economic growth will shrink and disappear soon. - Highlights: • We analyze the deviation between GDP and electricity consumption in business cycle. • The inventory investment adjustment mainly impacts the deviation in China. • Concentrated electricity consumption of heavy industry magnifies the deviation.

  12. 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

  13. The consumption of electricity in Deep River

    International Nuclear Information System (INIS)

    Phillips, G.J.

    1981-08-01

    This report records the development of the use of electricity in the Town of Deep River, Ontario since its incorporation in 1958. Electricity use is expressed as peak power demand, and as energy use by various classes of customers. Relevant data on population, weather and fuel prices are included. The accelerating displacment of fuel oil by electricity as an energy source for space heating is clearly demonstrated. The study was undertaken to document the effects of a large and rapidly growing seasonal load on the operation of a small electrical utility, and to provide background information for an experimental study of hybrid oil/electric space heating

  14. Electricity Consumption, Carbon Emissions and Economic Growth in Nigeria

    Directory of Open Access Journals (Sweden)

    Godwin Effiong Akpan

    2012-01-01

    Full Text Available This paper applies a Multivariate Vector Error Correction (VECM framework to examine the long run and causal relationship between electricity consumption, carbon emissions and economic growth in Nigeria. Using annual time series data for 1970 to 2008, findings show that in the long run, economic growth is associated with increase carbon emissions, while an increase in electricity consumption leads to an increase in carbon emissions. These imply that Nigeria’s growth process is pollution intensive, while the negative relationship between electricity consumption (or positive relationship between electricity consumption and emissions in Nigeria is a clear indication that electricity consumption in the country has intensified carbon emissions. No support was obtained for the hypothesized environmental Kuznets curve (EKC. Granger-causality results confirm a unidirectional causality running from economic growth to carbon emissions, indicating that carbon emissions reduction policies could be pursued without reducing economic growth in Nigeria. No causality was found between electricity and growth, in either way, which further lends credence to the crisis in the Nigerian electricity sector. Overall, the paper submits that efficient planning and increased investment in electricity infrastructure development may be the crucial missing variable in the obtained neutrality hypothesis between electricity and growth.

  15. Electricity consumption and economic growth nexus in Bangladesh: Revisited evidences

    Energy Technology Data Exchange (ETDEWEB)

    Ahamad, Mazbahul Golam, E-mail: mg.ahamad@gmail.com [Research Division, Centre for Policy Dialogue (CPD), House: 40C, Road: 11, Dhanmondi, Dhaka 1209 (Bangladesh); Islam, A.K.M. Nazrul, E-mail: nazrul2002@yahoo.com [Research Division, Centre for Policy Dialogue (CPD), House: 40C, Road: 11, Dhanmondi, Dhaka 1209 (Bangladesh)

    2011-10-15

    In this paper, an attempt is being made to examine the causal relationship between per capita electricity consumption and per capita GDP of Bangladesh using the vector error correction specified Granger causality test to search their short-run, long-run and joint causal relationships for the period of 1971-2008. Empirical findings reveal that there is a short-run unidirectional causal flow running from per capita electricity consumption to per capita GDP without feedback. The presence of a positive short-run causality explains that an increase in electricity consumption directly affects economic activity in Bangladesh. Likewise, results from joint causality exhibit the same as in short-run. By contrast, long-run results show a bi-directional causality running from electricity consumption to economic growth with feedback. These findings can provide essential policy insights to design immediate and long-term growth prospect for Bangladesh keeping in mind its present planned growth strategy and dismal power and energy sector. - Highlights: > Short-run causality running from electricity consumption to economic growth. > Positive SR causality explains electricity generation directly affects economic growth. > For long run, causality runs from electricity consumption to economic growth with feedback. > Joint causality implies the same as in short-run.

  16. Electricity consumption and economic growth nexus in Bangladesh: Revisited evidences

    International Nuclear Information System (INIS)

    Ahamad, Mazbahul Golam; Islam, A.K.M. Nazrul

    2011-01-01

    In this paper, an attempt is being made to examine the causal relationship between per capita electricity consumption and per capita GDP of Bangladesh using the vector error correction specified Granger causality test to search their short-run, long-run and joint causal relationships for the period of 1971-2008. Empirical findings reveal that there is a short-run unidirectional causal flow running from per capita electricity consumption to per capita GDP without feedback. The presence of a positive short-run causality explains that an increase in electricity consumption directly affects economic activity in Bangladesh. Likewise, results from joint causality exhibit the same as in short-run. By contrast, long-run results show a bi-directional causality running from electricity consumption to economic growth with feedback. These findings can provide essential policy insights to design immediate and long-term growth prospect for Bangladesh keeping in mind its present planned growth strategy and dismal power and energy sector. - Highlights: → Short-run causality running from electricity consumption to economic growth. → Positive SR causality explains electricity generation directly affects economic growth. → For long run, causality runs from electricity consumption to economic growth with feedback. → Joint causality implies the same as in short-run.

  17. Analysis and forecasting of nonresidential electricity consumption in Romania

    Energy Technology Data Exchange (ETDEWEB)

    Bianco, Vincenzo; Manca, Oronzio; Nardini, Sergio [Dipartimento di Ingegneria Aerospaziale e Meccanica, Seconda Universita degli Studi di Napoli, Via Roma 29, 81031 Aversa (CE) (Italy); Minea, Alina A. [Faculty of Materials Science and Engineering, Technical University Gh. Asachi from Iasi, Bd. D. Mangeron, No. 59, Iasi (Romania)

    2010-11-15

    Electricity consumption forecast has fundamental importance in the energy planning of a country. In this paper, we present an analysis and two forecast models for nonresidential electricity consumption in Romania. A first part of the paper is dedicated to the estimation of GDP and price elasticities of consumption. Nonresidential short run GDP and price elasticities are found to be approximately 0.136 and -0.0752, respectively, whereas long run GDP and price elasticities are equal to 0.496 and -0.274 respectively. The second part of the study is dedicated to the forecasting of nonresidential electricity consumption up to year 2020. A Holt-Winters exponential smoothing method and a trigonometric grey model with rolling mechanism (TGMRM) are employed for the consumption prediction. The two models lead to similar results, with an average deviation less than 5%. This deviation is to be considered acceptable in relation to the time horizon considered in the present study. (author)

  18. Analysis and forecasting of nonresidential electricity consumption in Romania

    International Nuclear Information System (INIS)

    Bianco, Vincenzo; Manca, Oronzio; Nardini, Sergio; Minea, Alina A.

    2010-01-01

    Electricity consumption forecast has fundamental importance in the energy planning of a country. In this paper, we present an analysis and two forecast models for nonresidential electricity consumption in Romania. A first part of the paper is dedicated to the estimation of GDP and price elasticities of consumption. Nonresidential short run GDP and price elasticities are found to be approximately 0.136 and -0.0752, respectively, whereas long run GDP and price elasticities are equal to 0.496 and -0.274 respectively. The second part of the study is dedicated to the forecasting of nonresidential electricity consumption up to year 2020. A Holt-Winters exponential smoothing method and a trigonometric grey model with rolling mechanism (TGMRM) are employed for the consumption prediction. The two models lead to similar results, with an average deviation less than 5%. This deviation is to be considered acceptable in relation to the time horizon considered in the present study. (author)

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

    International Nuclear Information System (INIS)

    Zhu Qin; Peng Xizhe; Wu Kaiya

    2012-01-01

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

  20. South Africa's electricity consumption: A sectoral decomposition analysis

    International Nuclear Information System (INIS)

    Inglesi-Lotz, Roula; Blignaut, James N.

    2011-01-01

    Highlights: → We conduct a decomposition exercise of the South African electricity consumption. → The increase in electricity consumption was due to output and structural changes. → The increasing at a low rate electricity intensity was a decreasing factor to consumption. → Increases in production were proven to be part of the rising trend for all sectors. → Only 5 sectors' consumption were negatively affected by efficiency improvements. -- Abstract: South Africa's electricity consumption has shown a sharp increase since the early 1990s. Here we conduct a sectoral decomposition analysis of the electricity consumption for the period 1993-2006 to determine the main drivers responsible for this increase. The results show that the increase was mainly due to output or production related factors, with structural changes playing a secondary role. While there is some evidence of efficiency improvements, indicated here as a slowdown in the rate of increase of electricity intensity, it was not nearly sufficient to offset the combined production and structural effects that propelled electricity consumption forward. This general economy-wide statement, however, can be misleading since the results, in essence, are very sector specific and the inter-sectoral differences are substantial. Increases in production were proven to be part of the rising trend for all sectors. However, only five out of fourteen sectors were affected by efficiency improvements, while the structural changes affected the sectors' electricity consumption in different ways. These differences concerning the production, structural and efficiency effects on the sectors indicate the need for a sectoral approach in the energy policy-making of the country rather than a blanket or unilateral economy-wide approach.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-12-15

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

  2. Electricity consumption in France: the 2011 big surprise

    International Nuclear Information System (INIS)

    2012-01-01

    During the last ten years, the evolution of electricity consumption in France has been slow but constant. In 2011, however, the consumption, not corrected for seasonal variations, has suddenly drop by 7% to reach the level of the year 2004, thus impacting the economic balance of the production means

  3. Online prediction of battery electric vehicle energy consumption

    NARCIS (Netherlands)

    Wang, Jiquan; Besselink, Igo; Nijmeijer, Henk

    2016-01-01

    The energy consumption of battery electric vehicles (BEVs) depends on a number of factors, such as vehicle characteristics, driving behavior, route information, traffic states and weather conditions. The variance of these factors and the correlation among each other make the energy consumption

  4. 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

  5. The Effect of Electric Load Profiles on the Performance of Off-Grid Residential Hybrid Renewable Energy Systems

    Directory of Open Access Journals (Sweden)

    Stephen Treado

    2015-10-01

    Full Text Available This paper investigates the energy performance of off-grid residential hybrid renewable electric power systems, particularly the effect of electric load profiles on the ability to harvest available solar energy and avoid the consumption of auxiliary energy in the form of propane. The concepts are illustrated by an analysis of the energy performance of electric and propane-fired refrigerators. Off-grid electric power systems frequently incorporate a renewable source, such as wind or solar photovoltaic (PV, with a back-up power provided by a propane fueled motor/generator. Among other design decisions, residential consumers face the choice of employing an electric refrigerator with a conventional vapor compression refrigeration system, or a fuel-fired refrigerator operating as an absorption refrigeration system. One interesting question is whether it is more advantageous from an energy perspective to use electricity to run the refrigerator, which might be provided by some combination of the PV and propane motor/generator, thereby taking advantage of the relatively higher electric refrigerator Coefficient of Performance (COP and free solar energy but having to accept a low electrical conversion efficiency of the motor/generator, or use thermal energy from the combustion of propane to produce the refrigeration effect via an absorption system, albeit with a much lower COP. The analysis is complicated by the fact that most off-grid renewable electrical power systems utilize a battery bank to provide electrical power when it is not available from the wind turbine or PV system, so the state of charge of the battery bank will have a noticeable impact on what energy source is available at any moment in time. Daily electric load profiles combined with variable solar energy input determine the state of charge of the battery bank, with the degree of synchronization between the two being a critical factor in determining performance. The annual energy usage

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2003-07-01

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

  7. 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.

  8. Investment appraisal of technology innovations on dairy farm electricity consumption

    NARCIS (Netherlands)

    Upton, J.; Murphy, M.; Boer, de I.J.M.; Groot Koerkamp, P.W.G.; Berentsen, P.B.M.; Shalloo, L.

    2015-01-01

    The aim of this study was to conduct an investment appraisal for milk-cooling, water-heating, and milk-harvesting technologies on a range of farm sizes in 2 different electricity-pricing environments. This was achieved by using a model for electricity consumption on dairy farms. The model simulated

  9. A critical look at residential electricity conservation campaigns in a developing country environment

    International Nuclear Information System (INIS)

    Martino Jannuzzi, G. de; Ferreira Santos, V. dos

    1993-01-01

    This paper analyse survey results of the effectiveness of information campaigns to promote energy efficiency among residential consumers in Brazil. The survey found that consumers have a relatively good knowledge of conservation measures to improve electricity usage. Nevertheless, other approaches are needed to promote energy conservation in the household sector. (author). 3 refs, 4 figs, 2 tabs

  10. Experimental device for the residential heating with heat pipe and electric heat storage blocks

    Energy Technology Data Exchange (ETDEWEB)

    Vasiliev, L L; Boldak, I M; Domorod, L S; Rabetsky, M I; Schirokov, E I [AN Belorusskoj SSR, Minsk (Belarus). Inst. Teplo- i Massoobmena

    1992-01-01

    Residential heating using electric heat storage blocks nowadays is an actual problem from the point of view of heat recovery and nature protection. In the Luikov Heat and Mass Transfer Institute a new residential electrical heater capable of heating chambers by controlling air temperature and heat output using heat pipes and an electric heat storage block was developed. This heater (BETA) is fed from the source of energy and during 7 h of night time accumulates energy sufficiently to heat 10 m{sup 3} during 24 h. Heating device BETA has a ceramic thermal storage block, electric heaters and a heat pipe with evaporator inside the ceramic block and constant temperature (65{sup o}C) finned condenser outside it. The condenser temperature could be controlled easily. BETA is compact, has high thermal response, accurate air temperature control and safe operation. Such types of residential heaters are necessary for heating residential and office building in the Mogilev and Gomel regions in Byelorussia which suffered after the Chernobyl catastrophe. (Author).

  11. Energy Management Systems to Reduce Electrical Energy Consumption

    OpenAIRE

    Oriti, Giovanna

    2015-01-01

    EXECUTIVE SUMMARY An energy management system comprises an electrical energy storage element such as a battery, renewable electrical energy sources such as solar and wind, a digital signal processing controller and a solid state power converter to interface the elements together. This hardware demonstration in the lab at the Naval Postgraduate School will focus on solid state power conversion methods to improve the reliability and efficiency of electrical energy consumption by Navy facilit...

  12. Forecasting the electricity consumption of the Mexican border states maquiladoras

    Energy Technology Data Exchange (ETDEWEB)

    Flores, C.E.; Phelan, P.E. [Arizona State Univ., Dept. of Mechanical and Aerospace Engineering, Tempe, AZ (United States); Mou, J.-I. [Taiwan Semiconductor Manufacturing Co., Operation Planning Div., Hsin-Chu (Taiwan); Bryan, H. [Arizona State Univ., School of Architecture, Tempe, AZ (United States)

    2004-07-01

    The consumption of electricity by maquiladora industries in the Mexican border states is an important driver for determining future powerplant needs in that area. An industrial electricity forecasting model is developed for the border states' maquiladoras, and the outputs are compared with a reference forecasting model developed for the US industrial sector, for which considerably more data are available. This model enables the prediction of the effect of implementing various energy efficiency measures in the industrial sector. As an illustration, here the impact of implementing energy-efficient lighting and motors in the Mexican border states' maquiladoras was determined to be substantial. Without such energy efficiency measures, electricity consumption for these industries is predicted to rise by 64% from 2001 to 2010, but if these measures are implemented on a gradual basis over the same time period, electricity consumption is forecast to rise by only 36%. (Author)

  13. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Jensen, O

    1984-01-01

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

  15. The impact of the daylight saving time on electricity consumption-A case study from Jordan

    International Nuclear Information System (INIS)

    Awad Momani, Mohammad; Yatim, Baharudin; Ali, Mohd Alauddin Mohd

    2009-01-01

    The paper examines the impact of daylight saving time (DST) on electricity consumption in Jordan. Two types of analysis were done: the first analysis examines the impact of DST on the lighting loads based on a survey study made for residential and commercial sectors. The second examines the impact of DST on the over all electricity generation through analyzing the daily load curves (DLCs) before and after the DST onset and removal in 2000 and 2007. The results show that the application of DST during the year 2000 saves the electricity used for illumination by -0.73% but it increases the overall generation at the onset and removal of DST by 0.5% and 1.4% due to increase in the heating and cooling loads. The analysis of DLCs during the year 2007 shows similar effects as in the year 2000 except during the early morning period at the DST onset where DST decreases the demand during this time. The analysis shows that DST decreases the electricity demand at DST onset by 0.2% and increases it at DST removal by 0.3%. A possible decrease in the electricity consumption may take place if the DST is implemented from April to end of August.

  16. Smart electric storage heating and potential for residential demand response

    OpenAIRE

    Darby, S

    2017-01-01

    Low-carbon transition plans for temperate and sub-polar regions typically involve some electrification of space heating. This poses challenges to electricity system operation and market design, as it increases overall demand and alters the temporal patterns of that demand. One response to the challenge is to ‘smarten’ electrical heating, enabling it to respond to network conditions by storing energy at times of plentiful supply, releasing it in response to customer demands and offering rapid-...

  17. What do customers want from improved residential electricity services? Evidence from a choice experiment

    International Nuclear Information System (INIS)

    Huh, Sung-Yoon; Woo, JongRoul; Lim, Sesil; Lee, Yong-Gil; Kim, Chang Seob

    2015-01-01

    Improvements in customer satisfaction as well as product/service quality represent a common objective of all businesses, and electricity services are no exception. Using choice experiments and a mixed logit model, this study quantitatively analyzes customers' preferences and their marginal willingness to pay for improved residential electricity services. The study provides an ex ante evaluation of customers' acceptance of hypothetical electricity services. According to the results, customers consider the electricity bill and the electricity mix as the two most important attributes when choosing their electricity services. Customers are willing to pay 2.2% more in the average electricity bill (an additional monthly electricity bill of KRW 1,064; USD 0.96) for a significant increase in the share of renewable energy, which is far less than the actual cost of achieving this renewable target. Therefore, it is better to maintain the current electricity mix in principle, and the renewable share should be gradually expanded instead of making a sudden change in the electricity mix. In addition, customers are willing to pay KRW 6,793 (USD 6.15) more to reduce blackouts once in a year and KRW 64/year (USD 0.06/year) to reduce a minute of each blackout. -- Highlights: •Customers' preferences for improved residential electricity services are analyzed. •Empirical setting is a sample of residents in South Korea. •The electricity bills and electricity mix are important to customers. •Increase in electricity bill of different electricity mix is considered

  18. The 2005 energy year in Finland: Electricity consumption down

    International Nuclear Information System (INIS)

    2006-01-01

    Electricity consumption declined by 2.5% in 2005, largely as a result of a six-week labour dispute in the paper indusry and mild weather conditions, according to a report on energy industry develop rents in 2005 published by Finnish Energy Industries. Over the longer term, energy consumption is forecast to grow by close to 2% a year. Water levels in waterways and water systems across the Nordic countries returned to normal in 2005 after a long period of reduced resources, stabilising hydropower output generally Following high levels of electricity exports westwards in 2004, electricity imports from the West reached almost record levels in Finland in 2005. Together with imports from Russia, Finland imported more electricity last year than ever before - and a full fifth of Finland's energy needs were covered by net electricity imports in 2005. Two thirds of imports came from Russia, with imports reaching almost the maximum capacity of the countries' interconnectors

  19. A Profile-Based Identification of Standby and Useless Electricity Consumption in Buildings

    OpenAIRE

    De Koster, Rien; Van Roy, Juan; Driesen, Johan

    2013-01-01

    Useless electricity consumption is the electricity consumption of an electric appliance or system that is not performing its primary function or that is performing its primary function without being useful. So, useless electricity consumption does not only consist of standby losses. To identify the useless electricity consumption in a building, a profile-based approach is developed. This approach is used to investigate the useless electricity consumption in five buildings of the University of...

  20. VersiCharge-SG - Smart Grid Capable Electric Vehicle Supply Equipment (EVSE) for Residential Applications

    Energy Technology Data Exchange (ETDEWEB)

    Wei, Dong [National Renewable Energy Lab. (NREL), Golden, CO (United States); Haas, Harry [National Renewable Energy Lab. (NREL), Golden, CO (United States); Terricciano, Paul [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2015-09-30

    In his 2011 State of the Union address, President Obama called for one million electric vehicles on the road by 2015 [1]. With large-scale Electric Vehicle (EV) or Plug-in Electric Vehicle (PEV or EV for short) or Plug-in Hybrid Electric Vehicle (PHEV) penetration into the US market, there will be drastic reduction in fossil fuel consumption, thus significantly reducing our dependency on foreign oil [2-6]. There will also be significant reduction on Green House Gas (GHG) emissions and smog in the major US cities [3, 7, 8]. Similar studies have also been done other industrial counties [9]. For the fuel cost, with the home electricity rate around $0.13 per kWh, it would cost about $0.05 per mile for DC operation and $0.03 cents per mile for AC operation. But, assuming 25 miles per gallon for a typical vehicle and $4 per gallon, fossil fuel will cost $0.16 per mile [10]. The overall lifecycle cost of PEVs will be several folds lower than the existing fossil fueled vehicles. Despite the above advantages of the EVs, the current cost of EVSE is not affordable for the average consumer. Presently, the cost of installing state-of-the-art residential EVSE ranges from $1500 to $2500 [11]. Low priced EVSE technology, which is easy to install, and affordable to operate and maintain by an average consumer, is essential for the large-scale market penetration of EVs. In addition, the long-term success of this technology is contingent on the PEVs having minimal excessive load and shift impact on the grid, especially at peak times. In a report [2] published by the Pacific Northwest National Laboratory (PNNL), the exiting electric power generation infrastructure, if used at its full capacity 24 hours a day, would support up to 84% of the nation’s cars, pickup trucks and SUVs for an average daily drive of 33 miles. This mileage estimate is certainly much below what an average driver would drive his/her vehicle per day. Another report [3] by the National Renewable Energy Laboratory

  1. Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering

    Science.gov (United States)

    Darghouth, Naim Richard

    Net metering has become a widespread policy mechanism in the U.S. for supporting customer adoption of distributed photovoltaics (PV), allowing customers with PV systems to reduce their electric bills by offsetting their consumption with PV generation, independent of the timing of the generation relative to consumption. Although net metering is one of the principal drivers for the residential PV market in the U.S., the academic literature on this policy has been sparse and this dissertation contributes to this emerging body of literature. This dissertation explores the linkages between the availability of net metering, wholesale electricity market conditions, retail rates, and the residential bill savings from behind-the-meter PV systems. First, I examine the value of the bill savings that customers receive under net metering and alternatives to net metering, and the associated role of retail rate design, based on current rates and a sample of approximately two hundred residential customers of California's two largest electric utilities. I find that the bill savings per kWh of PV electricity generated varies greatly, largely attributable to the increasing block structure of the California utilities' residential retail rates. I also find that net metering provides significantly greater bill savings than alternative compensation mechanisms based on avoided costs. However, retail electricity rates may shift as wholesale electricity market conditions change. I then investigate a potential change in market conditions -- increased solar PV penetrations -- on wholesale prices in the short-term based on the merit-order effect. This demonstrates the potential price effects of changes in market conditions, but also points to a number of methodological shortcomings of this method, motivating my usage of a long-term capacity investment and economic dispatch model to examine wholesale price effects of various wholesale market scenarios in the subsequent analysis. By developing

  2. Mild weather slows increase in Finnish electricity consumption

    International Nuclear Information System (INIS)

    Tiusanen, P.

    2001-01-01

    Electricity usage in Finland increased by 1.7%, equivalent to 2.8% when adjusted for temperature and calendar factors, and totalled 79.1 billion kWh, an increase of 1.3 billion kWh on 1999. If temperatures had followed the normal pattern last year, the 80 billion kilowatt hour-barrier would have been broken. Some 60% of the increase in consumption was covered by imports and 40% through domestic generation, which grew by less than 1%. Consumption is expected to grow by approximately 2% this year. More than 31% of the total electricity requirement was covered by combined heat and power (CHP), some 27% by nuclear power, approximately 18% by hydropower, and 8% by coal and other conventional condensing power. Net imports of electricity rose to 15%, an alltime high of 11.9 billion kWh, equivalent to 15% of the electricity used m Finland. This compares to 11.1 billion kWh in 1999 and 10.7 billion kWh in 1990. Net imports of electricity rose by 6.8% last year. Imports from Sweden increased by 25%, while imports from Russia fell by 13%. Exports of electricity from Finland were low, because of inexpensive electricity available in the Nordic countries. Due to the good hydropower situation and competition, electricity prices dropped again, by approximately 1%. Electricity trading grew rapidly, with almost one-fifth of all electricity used in Finland being traded through Nord Pool

  3. Controlling Electricity Consumption by Forecasting its Response to Varying Prices

    DEFF Research Database (Denmark)

    Corradi, Olivier; Ochsenfeld, Henning Peter; Madsen, Henrik

    2013-01-01

    electricity consumption using a one-way price signal. Estimation of the price-response is based on data measurable at grid level, removing the need to install sensors and communication devices between each individual consumer and the price-generating entity. An application for price-responsive heating systems......In a real-time electricity pricing context where consumers are sensitive to varying prices, having the ability to anticipate their response to a price change is valuable. This paper proposes models for the dynamics of such price-response, and shows how these dynamics can be used to control...... is studied based on real data, before conducting a control by price experiment using a mixture of real and synthetic data. With the control objective of following a constant consumption reference, peak heating consumption is reduced by nearly 5%, and 11% of the mean daily heating consumption is shifted....

  4. Influence of air temperature on electric consumption in Moscow

    Science.gov (United States)

    Lokoshchenko, Mikhail A.; Nikolayeva, Nataliya A.

    2017-04-01

    For the first time for mid latitudes and with the use of long-term data of Moscow State University Meteorological observatory a dependence of electric power consumption E on the air temperature T has been studied for each separate day for the period from 1990 to 2015 (totally - 9496 values). As a result, it is shown that the relation is in general decreasing in conditions of cold Moscow region: energy consumption as a rule reduces with a rise of the temperature. However, in time of severe frosts the energy consumption increasing goes to nothing due to special measures for energy savings whereas during heat wave episodes of extremely hot weather (especially in summer of 2010) an opposite tendency appears to the energy consumption increase with the increase of the air temperature due to additional consumption for the air conditioning. This relation between E and T is statistically significant with extremely high confidence probability (more than 0.999). The optimum temperature for the energy saving is 18 ˚C. The air temperature limit values in Moscow during last decades have been discussed. Daily-averaged T varied from -28.0 ˚C in January of 2006 to +31.4 ˚C in August of 2010 so a range of this parameter is almost 60 ˚C. Catastrophic heat wave in 2010 appeared as a secondary summer maximum of the electric consumption annual course. The relation between E and T for separate years demonstrates strong weekly periodicity at the dynamics of E daily values. As a result statistical distribution of E daily values for separate years is bimodal. One its mode is connected with working-days and another one - with non-work days (Saturday, Sunday and holidays) when consumption is much less. In recent time weekly cycle at the electric consumption became weaker due to total fall of industry in Moscow. In recent years the dependence of energy consumption on the air temperature generally became stronger - probably due to changes of its structure (growth of non-industrial users

  5. Three aspects of the Germany-France comparison on electricity. Electricity production and consumption in Germany

    International Nuclear Information System (INIS)

    Laponche, Bernard

    2014-01-01

    As a comparative overview of the French and German situation regarding electric power, a first article proposes tables and graphs illustrating data evolution, and brief comments about these evolutions. Comparison focuses on household electricity consumption, on electricity exchanges, and on the production of electricity based on renewable energies. An appendix proposes a presentation of the German policy for energy transition: principles and objectives, phasing out nuclear, implementation. Then, an article, illustrated by data tables and graphs, discusses the evolution of electric power production and consumption in Germany between 2000 and 2013. The author addresses power final consumption, power total production and exchanges, the components of electric power production, and greenhouse gas emissions (by fossil fuel, by sector, and by electricity and heat production)

  6. 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)

  7. Increasing the flexibility of electricity consumption in private households

    DEFF Research Database (Denmark)

    Tjørring, Lise; Jensen, Carsten Lynge; Hansen, Lars Gårn

    2018-01-01

    households received incentivized text messages, suggesting that they shift electricity consumption to certain hours of the day. The study shows that when text messages were sent to women, there was a significantly greater response than when they were sent to men. Based on qualitative in-depth interviews, we...... find that an important reason for this is gender difference in household work task responsibility. Our study suggests that incorporating knowledge about gendered practices when designing and targeting policies to change electricity consumption habits and induce flexibility could significantly increase...

  8. Electricity consumption-growth nexus. The case of Malaysia

    International Nuclear Information System (INIS)

    Chandran, V.G.R.; Sharma, Susan; Madhavan, Karunagaran

    2010-01-01

    The goal of this paper is to model the relationship between electricity consumption and real gross domestic product (GDP) for Malaysia in a bivariate and multivariate framework. We use time series data for the period 1971-2003 and apply the bounds testing approach to search for a long-run relationship. Our results reveal that electricity consumption, real GDP and price share a long-run relationship. The results of the autoregressive distributed lag (ARDL) estimates of long-run elasticity of electricity consumption on GDP are found to be around 0.7 and statistically significant. Finally, in the short-run, the results of the causality test show that there is a unidirectional causal flow from electricity consumption to economic growth in Malaysia. From these findings we conclude that Malaysia is an energy-dependent country, leading us to draw some policy implications. This paper adds support and validity, thus reducing the policy makers concern on the ambiguity of the electricity and growth nexus in Malaysia. (author)

  9. Electricity consumption-growth nexus. The case of Malaysia

    Energy Technology Data Exchange (ETDEWEB)

    Chandran, V.G.R. [Department of Economics, Faculty of Economics and Administration, University of Malaya, 50603 Kuala Lumpur (Malaysia); Department of Economics, Faculty of Business Management, University Technology MARA, 40540 Shah Alam (Malaysia); Sharma, Susan [School of Accounting, Economics and Finance, Deakin University, Melbourne (Australia); Madhavan, Karunagaran [Department of Economics, Faculty of Business Management, University Technology MARA, 40540 Shah Alam (Malaysia)

    2010-01-15

    The goal of this paper is to model the relationship between electricity consumption and real gross domestic product (GDP) for Malaysia in a bivariate and multivariate framework. We use time series data for the period 1971-2003 and apply the bounds testing approach to search for a long-run relationship. Our results reveal that electricity consumption, real GDP and price share a long-run relationship. The results of the autoregressive distributed lag (ARDL) estimates of long-run elasticity of electricity consumption on GDP are found to be around 0.7 and statistically significant. Finally, in the short-run, the results of the causality test show that there is a unidirectional causal flow from electricity consumption to economic growth in Malaysia. From these findings we conclude that Malaysia is an energy-dependent country, leading us to draw some policy implications. This paper adds support and validity, thus reducing the policy makers concern on the ambiguity of the electricity and growth nexus in Malaysia. (author)

  10. Electricity Consumption and GHG Emissions in GCC Countries

    Directory of Open Access Journals (Sweden)

    Mohammed Redha Qader

    2009-12-01

    Full Text Available CO2, N2O, and CH4 are the three most widespread Greenhouse Gases (GHGs. Electricity consumption and the related CO2-equivalent gas emissions resulting from oil and gas combustion for the six countries that comprise the Cooperation Council for the Arab States of the Gulf [Kingdom of Saudi Arabia (KSA, Kuwait, Bahrain, Oman, United Arab Emirates (UAE and Qatar; also referred to as the Gulf Cooperation Council, GCC] have been compared. The analysis of the relevant data shows that GCC countries contribute significantly to the global CO2 emissions, and that the majority of their emissions are concentrated in the energy extraction and conversion sectors, mainly from oil drilling and electricity production. Some analysis is offered as to the reasons behind the excessive increase in the electrical demand that is obviously linked to a non-rational pattern of electricity consumption.

  11. Electricity consumption and GHG emissions in GCC countries

    International Nuclear Information System (INIS)

    Qader, M. R.

    2009-01-01

    CO 2 , N 2 O, and CH 4 are the three most widespread Greenhouse Gases (GHGs). Electricity consumption and the related CO 2 -equivalent gas emissions resulting from oil and gas combustion for the six countries that comprise the Cooperation Council for the Arab States of the Gulf [Kingdom of Saudi Arabia (SA), Kuwait (KW), Bahrain (BH), Oman (OM), United Arab Emirates (AE) and Qatar (QA); also referred to as the Gulf Cooperation Council, GCC)] have been compared. The analysis of the relevant data shows that GCC countries contribute significantly to the global CO 2 emissions, and that the majority of their emissions are concentrated in the energy extraction and conversion sectors, mainly from oil drilling and electricity production. Some analysis is offered as to the reasons behind the excessive increase in the electrical demand that is obviously linked to a non-rational pattern of electricity consumption. (author)

  12. Electricity consumption and GHG emissions in GCC countries

    Energy Technology Data Exchange (ETDEWEB)

    Qader, M. R. [Applied Studies College, University of Bahrain, P.O. Box 32038 (Bahrain)

    2009-07-01

    CO{sub 2}, N{sub 2}O, and CH{sub 4} are the three most widespread Greenhouse Gases (GHGs). Electricity consumption and the related CO{sub 2}-equivalent gas emissions resulting from oil and gas combustion for the six countries that comprise the Cooperation Council for the Arab States of the Gulf [Kingdom of Saudi Arabia (SA), Kuwait (KW), Bahrain (BH), Oman (OM), United Arab Emirates (AE) and Qatar (QA); also referred to as the Gulf Cooperation Council, GCC)] have been compared. The analysis of the relevant data shows that GCC countries contribute significantly to the global CO{sub 2} emissions, and that the majority of their emissions are concentrated in the energy extraction and conversion sectors, mainly from oil drilling and electricity production. Some analysis is offered as to the reasons behind the excessive increase in the electrical demand that is obviously linked to a non-rational pattern of electricity consumption. (author)

  13. Residential water demand and water consumption: an econometric analysis on municipal panel data

    International Nuclear Information System (INIS)

    Musolesi, Antonio; Nosvelli, Mario

    2005-01-01

    This paper focuses on residential water demand estimation, a rather neglected issue in the Italian environmental economics literature as compared to other European countries and the USA. This may depend on the difficulties in gathering proper data and, most of all, panel data. In some cases statistical information are not suitably collected, while in other cases legal privacy ties put some obstacles to data set transfer. Our panel data set refers to 102 municipalities in Lombardy (Italy) for the period 1998-2002. When estimating the effect of water price, we control for other relevant variables such as: income, households demographical variables - (age structure, number of component for each family) number of firms in tertiary sector, water system length. In the considered period, the data show both an increase in population (1,5 %) and in the number of water consumers (7%) associated, on aggregate, with a slight reduction in water consumption (-1,1 %). Water demand models are estimated both in a static and in a dynamic framework. In the former, the emphasis is set on the sources of endogeneity in the average price by estimating a system of simultaneous equations and relevant variables for assessing consumer behaviour - such as socio demographic ones - are incorporated in the model. In the latter, econometric methods especially designed for endogeneity in panel data models (Arellano e Bond, 1991), are employed in order to estimate the long run elasticity of water demand with respect to average price. We find evidence both that consumers significantly respond to average price only in the long run with an elasticity of about - 0,3-0,4 and that income and demographic variables are crucial in explaining consumers' behaviour. Furthermore, water consumption presents a strong auto-regressive component, showing the emergence of inertia and path dependency in consumption habits. Such results suggest important implications for water policy planning. On one side demographic

  14. 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

  15. Electricity contract choices of Finnish residential customers. A choice based conjoint analysis

    Energy Technology Data Exchange (ETDEWEB)

    Rouvinen, S.; Matero, J. (Univ. of Eastern Finland, Joensuu (Finland), School of Forest Sciences), e-mail: seppo.rouvinen@uef.fi, e-mail: jukka.matero@uef.fi

    2010-07-01

    Our aim is to examine how different environmental attributes of electricity contracts affect the residential customer choices when heterogeneity in customer preferences and motivations is taken into account. The data was acquired by a mail questionnaire to random sample of Finnish people in October-November 2009 with a response rate of 38 %. In addition to conventional questions, like questions on socio-demographic and agreements of energy related statements, the discrete choice experiment (DCE) of electricity contracts was included. The choice sets in the DCE had three electricity contract alternatives with varying levels of predetermined attributes (including unit price, supplier type, frequency of power outages, energy source and CO{sub 2} emissions). In this paper, we present the findings of our DCE design. Modeling respondent choices resulted in implicit prices for various electricity contract attributes that provide guidance for green marketing strategies of electricity suppliers and energy related informational activities of public institutions. We conclude that currently the potential for increasing demand-based environmental competitiveness from the wood electricity differentiation remains limited as we did not find any significant market segment of residential customers with strong preferences for wood over other sources of electricity (including 'mixture'). (orig.)

  16. Integrating a hydrogen fuel cell electric vehicle with vehicle-to-grid technology, photovoltaic power and a residential building

    NARCIS (Netherlands)

    Robledo, C.B.; Oldenbroek, V.D.W.M.; Abbruzzese, F.; van Wijk, A.J.M.

    2018-01-01

    This paper presents the results of a demonstration project, including building-integrated photovoltaic (BIPV) solar panels, a residential building and a hydrogen fuel cell electric vehicle (FCEV) for combined mobility and power generation, aiming to achieve a net zero-energy residential building

  17. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-08-15

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

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

    International Nuclear Information System (INIS)

    Fikru, Mahelet G.; Gautier, Luis

    2015-01-01

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

  20. Electricity consumption and economic growth: Exploring panel-specific differences

    International Nuclear Information System (INIS)

    Karanfil, Fatih; Li, Yuanjing

    2015-01-01

    In this paper, we examine the long- and short-run dynamics between electricity consumption and economic activities, using panel data of per capita electricity consumption and per capita GDP of 160 countries for the period of 1980–2010, accounting for the degree of electricity dependence and the level of urbanization. Furthermore, in order to capture the differences in this relationship, the full sample is divided into various subsamples based on countries' income levels, regional locations and OECD memberships. This framework is argued and found to be appropriate since the causal links and inferences arising therefrom differ considerably among the subsamples, which led us to conclude that the electricity-growth nexus is highly sensitive to regional differences, countries' income levels, urbanization rates and supply risks. -- Highlights: •The causal relationship between electricity consumption and GDP is investigated. •Cointegration techniques are used for 160 countries and 13 subsamples. •Urbanization and electricity trade are accounted for as additional covariates. •Causal inferences are found to be associated with panel-specific differences. •Policy issues are discussed based on the study results

  1. The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration

    International Nuclear Information System (INIS)

    Narayan, P.K.; Smyth, R.

    2005-01-01

    This paper reports estimates of the long- and short-run elasticities of residential demand for electricity in Australia using the bounds testing procedure to cointegration, within an autoregressive distributive lag framework. In the long run, we find that income and own price are the most important determinants of residential electricity demand, while temperature is significant some of the time and gas prices are insignificant. Our estimates of long-run income elasticity and price elasticity of demand are consistent with previous studies, although they are towards the lower end of existing estimates. As expected, the short-run elasticities are much smaller than the long-run elasticities, and the coefficients on the error-correction coefficients are small consistent with the fact that in the short-run energy appliances are fixed. (author)

  2. BPM Motors in Residential Gas Furnaces: What are the Savings?

    OpenAIRE

    Lutz, James; Franco, Victor; Lekov, Alex; Wong-Parodi, Gabrielle

    2006-01-01

    Residential gas furnaces contain blowers to distribute warm air. Currently, furnace blowers use either a Permanent Split Capacitor (PSC) or a Brushless Permanent Magnet (BPM) motor. Blowers account for the majority of furnace electricity consumption. Therefore, accurate determination of the blower electricity consumption is important for understanding electricity consumption of furnaces. The electricity consumption of blower motors depends on the static pressure across the blower. This p...

  3. NUMERICAL COMPUTATION AND PREDICTION OF ELECTRICITY CONSUMPTION IN TOBACCO INDUSTRY

    Directory of Open Access Journals (Sweden)

    Mirjana Laković

    2017-12-01

    Full Text Available Electricity is a key energy source in each country and an important condition for economic development. It is necessary to use modern methods and tools to predict energy consumption for different types of systems and weather conditions. In every industrial plant, electricity consumption presents one of the greatest operating costs. Monitoring and forecasting of this parameter provide the opportunity to rationalize the use of electricity and thus significantly reduce the costs. The paper proposes the prediction of energy consumption by a new time-series model. This involves time series models using a set of previously collected data to predict the future load. The most commonly used linear time series models are the AR (Autoregressive Model, MA (Moving Average and ARMA (Autoregressive Moving Average Model. The AR model is used in this paper. Using the AR (Autoregressive Model model, the Monte Carlo simulation method is utilized for predicting and analyzing the energy consumption change in the considered tobacco industrial plant. One of the main parts of the AR model is a seasonal pattern that takes into account the climatic conditions for a given geographical area. This part of the model was delineated by the Fourier transform and was used with the aim of avoiding the model complexity. As an example, the numerical results were performed for tobacco production in one industrial plant. A probabilistic range of input values is used to determine the future probabilistic level of energy consumption.

  4. Econometric modeling of electricity consumption in post-war Lebanon

    International Nuclear Information System (INIS)

    Nasr, G.E.; Badr, E.A.; Dibeh, G.

    2000-01-01

    This paper applies econometric models to investigate determinants of electrical energy consumption in post-war Lebanon. The impact of the Gross Domestic Product (GDP), proxied by total imports (TI), and degree days (DD) on electricity consumption is investigated over different time spans covering the period from 1993 to 1997. The time spans are chosen according to the rationing level of electricity supply. For the 1993-1994 time span, TI is found to be a significant determinant of energy consumption, whereas, DD has a negative correlation. This inconsistency might be attributed to an extensive rationing policy followed during this period. For the 1995-1997 time span which includes reduced rationing period (1995), all electrical energy consumption determinants are found to be significant at the 5% significance level. Analysis results for the rationing free 1996-1997 time span also show the significance of TI and DD at the 5% level. Furthermore, cointegration analysis for the 1995-1997 and 1996-1997 subsets reveals the existence of a long-run relationship between all variables. In addition, error correction models for both subsets are developed to predict short-run dynamics. Finally, statistical performance measures such as mean square error, mean average deviation and mean average percentage error are presented for all models

  5. Electricity's "Disappearing Act": Understanding Energy Consumption and Phantom Loads

    Science.gov (United States)

    Rusk, Bryan; Mahfouz, Tarek; Jones, James

    2011-01-01

    Energy exists in many forms and can be converted from one form to another. However, this conversion is not 100% efficient, and energy is lost in the form of heat during conversion. In addition, approximately 6% of the monthly consumption of the average American household's electricity is neither lost nor used by its residents. These losses are…

  6. Battery electric vehicle energy consumption modelling for range estimation

    NARCIS (Netherlands)

    Wang, J.; Besselink, I.J.M.; Nijmeijer, H.

    2017-01-01

    Range anxiety is considered as one of the major barriers to the mass adoption of battery electric vehicles (BEVs). One method to solve this problem is to provide accurate range estimation to the driver. This paper describes a vehicle energy consumption model considering the influence of weather

  7. Household electricity and gas consumption for heating homes

    International Nuclear Information System (INIS)

    Jeong, Jaehoon; Seob Kim, Chang; Lee, Jongsu

    2011-01-01

    Energy consumption has been drastically changed because of energy source depletion, price fluctuations, development and penetration of alternative energy sources, and government policies. Household energy sources are interrelated, and energy price and household characteristics, such as income level and dwelling size, affect the usage. To supply energy consistently and achieve a balance between production and consumption, stakeholders must understand consumer energy-consumption behavior. Therefore, this study identifies household heating energy usage patterns and the substitutive and/or complementary relationships between electricity and gas. Based on a multiple discrete-continuous extreme value model, household utility structure is identified from data on gas-heating usage. Results show greater utility and the smallest satiation values for gas boilers than for electric heaters and electric heating beds. The effects of consumer socioeconomic and environmental characteristics on the choice of heating energy sources were analyzed. Also, for further comparison, the respondents were split into high and low categories for income, heating degree days, dwelling size, and gas usage. Gas was found to be the most economical heating choice for households. - Research highlights: → This study investigates household electricity and gas consumption behavior for heating. → It also studied the relationship between two energy sources. → A research framework is suggested by combining the CDA and the MDCEV models. → It provides quantitative data that might be used for designing efficient energy policies.

  8. Residential consumers in the Cape Peninsula's willingness to pay for premium priced green electricity

    International Nuclear Information System (INIS)

    Oliver, Henry; Volschenk, Jako; Smit, Eon

    2011-01-01

    A number of studies have explored the willingness (i.e. stated willingness as opposed to actual willingness) of consumers to pay a premium for green electricity in developed countries. However, little is known about how this translates into an emerging economy context. This study investigates the level of willingness of residential households in South Africa's Cape Peninsula to pay a premium for electricity from renewable energy. It methodologically drew on recent contributions in the literature on norm-motivated behaviour used to identify testable factors that could influence residential consumers' willingness to pay (WTP). Interestingly, the study found a significant positive link between household income and WTP for green electricity, contrary to the findings of some previous studies. Not only are higher income households more likely to pay a premium, but typically they are also willing to pay a bigger premium. It was also further established that the view that green electricity is reliable, involvement in the recycling of waste and the belief that everyone should contribute to green electricity generation drive the WTP. - Research Highlights: →The study explored the drivers of willingness to pay (WTP) a premium for green electricity. →All the hypothesised drivers of WTP a premium were found to be significant. →Contrary to some former studies, income was found to be a good predictor of WTP and the pledged premium. →The quantum of the premium positively correlates with income levels.

  9. 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.

  10. Forecasting and control of the electricity consumption in hotels

    International Nuclear Information System (INIS)

    Guerra Plasencia, Mario A. Álvarez; Cabello Eras, Juan J.; Sousa Santos, Vladimir; Sagastume Gutiérrez, Alexis; Monteagudo YanesI, José P.; Lapido Rodríguez, Margarita J.; Lara, Boris Vega

    2017-01-01

    In order to monitor and control the monthly and annual consumption of energy in hotels, different indicators have been proposed. These do not allow allow the rapid detection and mitigation of bad practices and overconsumption, nor do they take into account the influence of physical parameters such as outside temperature, or when they do, they use fairly complex coefficients, which prevents their practical application in most installations. The study analyzes energy performance indicators to evaluate and control the consumption of electricity in hotels, introducing a new one based on the outside temperature. On this basis daily graphs of control are developed that allow a faster detection of the mentioned problems and realize an adequate energy management. The tools were applied in two Cuban hotels of different characteristics, where reductions in annual electricity consumption were achieved in the order of 10% without investments. (author)

  11. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1999-12-31

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

  13. Electric power economy: comparative study of electric power consumption in many methods of outfloor control

    International Nuclear Information System (INIS)

    Kubota, Hideo; Tsitiya, Milton Tomoyuki

    1989-01-01

    This work presents a comparative study of the electric power consumption of a water elevatory station in order to verify which method is the most suitable in energy economy through the outflow variation in function of the demand

  14. 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.

  15. Electricity consumption and economic growth: A cross-country analysis

    International Nuclear Information System (INIS)

    Yoo, Seung-Hoon; Lee, Joo-Suk

    2010-01-01

    Electricity has been the foundation of economic growth, and constitutes one of the vital infra-structural inputs in socio-economic development. The world faces a surge in demand for electricity that is driven by such powerful forces as population growth, extensive urbanization, industrialization, and the rise in the standard of living. This paper attempts to ascertain whether there is a systematic relationship between electricity consumption and economic growth. To this end, we use a large set of data that spans 88 countries during the period, 1975-2004. A statistically significant inverted-U-shaped relationship between per-capita consumption of electricity and per-capita income is detected. Nevertheless, by using a purchasing power parity that is much higher than the per-capita income of all the countries in the world, the level of per-capita income is estimated at the peak point of per-capita electricity consumption to be $61,379 in 2000 constant international dollars. Moreover, we segment the sample into Organization for Economic Cooperation and Development (OECD) countries and non-OECD countries, and separately analyze the developed and developing countries. The separate estimation shows that even though the peak income is higher than the average per-capita income, a statistically significant inverted-U-shaped relationship is found in OECD and developed countries but not in non-OECD and developing countries.

  16. Electricity consumption and economic growth: A cross-country analysis

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Seung-Hoon, E-mail: shyoo@hoseo.ed [Department of International Area Studies, Hoseo University, 268 Anseo-Dong, Cheonan, Chungnam 330-713 (Korea, Republic of); Lee, Joo-Suk, E-mail: leejoosuk@hoseo.ed [Department of International Area Studies, Hoseo University, 268 Anseo-Dong, Cheonan, Chungnam 330-713 (Korea, Republic of)

    2010-01-15

    Electricity has been the foundation of economic growth, and constitutes one of the vital infra-structural inputs in socio-economic development. The world faces a surge in demand for electricity that is driven by such powerful forces as population growth, extensive urbanization, industrialization, and the rise in the standard of living. This paper attempts to ascertain whether there is a systematic relationship between electricity consumption and economic growth. To this end, we use a large set of data that spans 88 countries during the period, 1975-2004. A statistically significant inverted-U-shaped relationship between per-capita consumption of electricity and per-capita income is detected. Nevertheless, by using a purchasing power parity that is much higher than the per-capita income of all the countries in the world, the level of per-capita income is estimated at the peak point of per-capita electricity consumption to be $61,379 in 2000 constant international dollars. Moreover, we segment the sample into Organization for Economic Cooperation and Development (OECD) countries and non-OECD countries, and separately analyze the developed and developing countries. The separate estimation shows that even though the peak income is higher than the average per-capita income, a statistically significant inverted-U-shaped relationship is found in OECD and developed countries but not in non-OECD and developing countries.

  17. Electricity consumption and economic growth. A cross-country analysis

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Seung-Hoon; Lee, Joo-Suk [Department of International Area Studies, Hoseo University, 268 Anseo-Dong, Cheonan, Chungnam 330-713 (Korea)

    2010-01-15

    Electricity has been the foundation of economic growth, and constitutes one of the vital infra-structural inputs in socio-economic development. The world faces a surge in demand for electricity that is driven by such powerful forces as population growth, extensive urbanization, industrialization, and the rise in the standard of living. This paper attempts to ascertain whether there is a systematic relationship between electricity consumption and economic growth. To this end, we use a large set of data that spans 88 countries during the period, 1975-2004. A statistically significant inverted-U-shaped relationship between per-capita consumption of electricity and per-capita income is detected. Nevertheless, by using a purchasing power parity that is much higher than the per-capita income of all the countries in the world, the level of per-capita income is estimated at the peak point of per-capita electricity consumption to be $61,379 in 2000 constant international dollars. Moreover, we segment the sample into Organization for Economic Cooperation and Development (OECD) countries and non-OECD countries, and separately analyze the developed and developing countries. The separate estimation shows that even though the peak income is higher than the average per-capita income, a statistically significant inverted-U-shaped relationship is found in OECD and developed countries but not in non-OECD and developing countries. (author)

  18. Information communication technology and electricity consumption in emerging economies

    International Nuclear Information System (INIS)

    Sadorsky, Perry

    2012-01-01

    This study examines the impact of information communication technology (ICT) on electricity consumption in emerging economies. The empirical results, obtained from dynamic panel demand models, show a positive and statistically significant relationship between ICT and electricity consumption when ICT is measured using internet connections, mobile phones or the number of PCs. Long-run ICT elasticities are smaller than income elasticities but because ICT growth rates are so much higher than income growth rates, the impact of ICT on electricity demand is greater than the impact of income on electricity demand. One implication of these results is that policies designed to close the “digital divide” between developed and developing economics by increasing the adoption of ICT in developing countries are put at odds with energy policies to reduce GHG emissions. - Highlights: ► ICT usage is growing rapidly in developing countries. ► ICT usage affects electricity consumption. ► Three different measures of ICT are examined. ► Short-run and long-run ICT elasticities are calculated. ► Implications for energy policy are discussed.

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

    Science.gov (United States)

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

    2017-11-01

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

  20. Securing energy efficiency as a high priority. Scenarios for common appliance electricity consumption in Thailand

    Energy Technology Data Exchange (ETDEWEB)

    Foran, T. [Unit for Social and Environmental Research USER, Faculty of Social Sciences, Chiang Mai University, P.O. Box 144, Chiang Mai, 50200 (Thailand); Du Pont, P.T. [International Resources Group and Joint Graduate School of Energy and Environment, Bangkok (Thailand); Parinya, P. [The Joint Graduate School of Energy and Environment, King Mongkut' s University of Technology Thonburi, Bangkok (Thailand); Phumaraphand, N. [Electricity Generating Authority of Thailand, Nonthaburi (Thailand)

    2010-11-15

    Between 1995 and 2008, Thailand's energy efficiency programs produced an estimated total of 8,369 GWh/year energy savings and 1,471 MW avoided peak power. Despite these impressive saving figures, relatively little future scenario analysis is available to policy makers. Before the 2008 global financial crisis, electricity planners forecasted 5-6% long-term increases in demand. We explored options for efficiency improvements in Thailand's residential sector, which consumes more than 20% of Thailand's total electricity consumption of 150 TWh/year. We constructed baseline and efficient scenarios for the period 2006-2026, for air conditioners, refrigerators, fans, rice cookers, and compact fluorescent light bulbs. We drew on an appliance database maintained by Electricity Generating Authority of Thailand's voluntary labeling program. For the five appliances modeled, the efficiency scenario results in total savings of 12% of baseline consumption after 10 years and 29% of baseline after 20 years. Approximately 80% of savings come from more stringent standards for air conditioners, including phasing out unregulated air conditioner sales within 6 years. Shifting appliance efficiency standards to current best-in-market levels within 6 years produces additional savings. We discuss institutional aspects of energy planning in Thailand that thus far have limited the consideration of energy efficiency as a high-priority resource.

  1. Electric and gas utility marketing of residential energy conservation case studies

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-05-01

    The objective of this research was to obtain information about utility conservation marketing techniques from companies actively engaged in performing residential conservation services. Many utilities currently are offering comprehensive services (audits, listing of contractors and lenders, post-installation inspection, advertising, and performing consumer research). Activities are reported for the following utilities: Niagara Mohawk Power Corporation; Tampa Electric Company; Memphis Light, Gas, and Water Division; Northern States Power-Wisconsin; Public Service Company of Colorado; Arizona Public Service Company; Pacific Gas and Electric Company; Sacramento Municipal Utility District; and Pacific Power and Light Company.

  2. Mining residential water and electricity demand data in Southern California to inform demand management strategies

    Science.gov (United States)

    Cominola, A.; Spang, E. S.; Giuliani, M.; Castelletti, A.; Loge, F. J.; Lund, J. R.

    2016-12-01

    Demand side management strategies are key to meet future water and energy demands in urban contexts, promote water and energy efficiency in the residential sector, provide customized services and communications to consumers, and reduce utilities' costs. Smart metering technologies allow gathering high temporal and spatial resolution water and energy consumption data and support the development of data-driven models of consumers' behavior. Modelling and predicting resource consumption behavior is essential to inform demand management. Yet, analyzing big, smart metered, databases requires proper data mining and modelling techniques, in order to extract useful information supporting decision makers to spot end uses towards which water and energy efficiency or conservation efforts should be prioritized. In this study, we consider the following research questions: (i) how is it possible to extract representative consumers' personalities out of big smart metered water and energy data? (ii) are residential water and energy consumption profiles interconnected? (iii) Can we design customized water and energy demand management strategies based on the knowledge of water- energy demand profiles and other user-specific psychographic information? To address the above research questions, we contribute a data-driven approach to identify and model routines in water and energy consumers' behavior. We propose a novel customer segmentation procedure based on data-mining techniques. Our procedure consists of three steps: (i) extraction of typical water-energy consumption profiles for each household, (ii) profiles clustering based on their similarity, and (iii) evaluation of the influence of candidate explanatory variables on the identified clusters. The approach is tested onto a dataset of smart metered water and energy consumption data from over 1000 households in South California. Our methodology allows identifying heterogeneous groups of consumers from the studied sample, as well as

  3. Decomposition analysis of the variations in household electricity consumption in Brazil; Analise de decomposicao das variacoes no consumo de energia eletrica no setor residencial brasileiro

    Energy Technology Data Exchange (ETDEWEB)

    Achao, Carla da Costa Lopes

    2009-09-15

    Introduced at the end of the 1970s to study the impacts of structural changes on electricity consumption by industry, index decomposition analysis techniques have been extended to various other areas to help in the formulation of energy policies, notably in developed countries. However, few authors have applied these techniques to study the evolution of energy consumption in developing countries. In Brazil, the few available studies have focused only on the industrial sector. In this thesis, we apply the decomposition technique called the logarithmic mean Divisia index (LMDI) to electricity consumption of the Brazilian residential sector, to explain its evolution in terms of the activity, structure and intensity affects, over the period from 1980 to 2007. The results obtained in a preliminary analysis point out, in a general way, that the observed variables in electricity consumption in the Brazilian residential sector are, mainly, the product of the increase in the number of consumers and the changes in the specific consumption of electricity in households. In a further analysis, carried out when the structure is given through consumers participation in consumption categories (Low Income and Conventional) taken from an overall point of view, although the intensity and activity effects may be considered the main explaining factors in consumption variation, the structure effect stands out in the period immediately after the 2001 rationing, as a reflect of the changes in the inclusion criteria in the Low Income category, specifically in the Northeast. (author)

  4. Effects of feedback on residential electricity demand—Findings from a field trial in Austria

    International Nuclear Information System (INIS)

    Schleich, Joachim; Klobasa, Marian; Gölz, Sebastian; Brunner, Marc

    2013-01-01

    This paper analyzes the effects of providing feedback on electricity consumption in a field trial involving more than 1500 households in Linz, Austria. About half of these households received feedback together with information about electricity-saving measures (pilot group), while the remaining households served as a control group. Participation in the pilot group was random, but households were able to choose between two types of feedback: access to a web portal or written feedback by post. Results from cross section OLS regression suggest that feedback provided to the pilot group corresponds with electricity savings of around 4.5% for the average household. Our results from quantile regressions imply that for households in the 30th to the 70th percentile of electricity consumption, feedback on electricity consumption is statistically significant and effects are highest in absolute terms and as a share of electricity consumption. For percentiles below or above this range, feedback appears to have no effect. Finally, controlling for a potential endogeneity bias induced by non random participation in the feedback type groups, we find no difference in the effects of feedback provided via the web portal and by post. - Highlights: • We estimate the effects of feedback on household electricity use in a field trial in Linz, Austria. • Providing feedback on electricity use corresponds with average savings of around 4.5%. • Effects of feedback are most pronounced in the 30th to the 70th percentile. • Feedback provided via a web portal and by post appears equally effective

  5. Electricity consumption forecasting in Italy using linear regression models

    Energy Technology Data Exchange (ETDEWEB)

    Bianco, Vincenzo; Manca, Oronzio; Nardini, Sergio [DIAM, Seconda Universita degli Studi di Napoli, Via Roma 29, 81031 Aversa (CE) (Italy)

    2009-09-15

    The influence of economic and demographic variables on the annual electricity consumption in Italy has been investigated with the intention to develop a long-term consumption forecasting model. The time period considered for the historical data is from 1970 to 2007. Different regression models were developed, using historical electricity consumption, gross domestic product (GDP), gross domestic product per capita (GDP per capita) and population. A first part of the paper considers the estimation of GDP, price and GDP per capita elasticities of domestic and non-domestic electricity consumption. The domestic and non-domestic short run price elasticities are found to be both approximately equal to -0.06, while long run elasticities are equal to -0.24 and -0.09, respectively. On the contrary, the elasticities of GDP and GDP per capita present higher values. In the second part of the paper, different regression models, based on co-integrated or stationary data, are presented. Different statistical tests are employed to check the validity of the proposed models. A comparison with national forecasts, based on complex econometric models, such as Markal-Time, was performed, showing that the developed regressions are congruent with the official projections, with deviations of {+-}1% for the best case and {+-}11% for the worst. These deviations are to be considered acceptable in relation to the time span taken into account. (author)

  6. Electricity consumption forecasting in Italy using linear regression models

    International Nuclear Information System (INIS)

    Bianco, Vincenzo; Manca, Oronzio; Nardini, Sergio

    2009-01-01

    The influence of economic and demographic variables on the annual electricity consumption in Italy has been investigated with the intention to develop a long-term consumption forecasting model. The time period considered for the historical data is from 1970 to 2007. Different regression models were developed, using historical electricity consumption, gross domestic product (GDP), gross domestic product per capita (GDP per capita) and population. A first part of the paper considers the estimation of GDP, price and GDP per capita elasticities of domestic and non-domestic electricity consumption. The domestic and non-domestic short run price elasticities are found to be both approximately equal to -0.06, while long run elasticities are equal to -0.24 and -0.09, respectively. On the contrary, the elasticities of GDP and GDP per capita present higher values. In the second part of the paper, different regression models, based on co-integrated or stationary data, are presented. Different statistical tests are employed to check the validity of the proposed models. A comparison with national forecasts, based on complex econometric models, such as Markal-Time, was performed, showing that the developed regressions are congruent with the official projections, with deviations of ±1% for the best case and ±11% for the worst. These deviations are to be considered acceptable in relation to the time span taken into account. (author)

  7. Paying the full cost of power : an indicative comparative analysis of residential electricity rates across Canadian provinces

    International Nuclear Information System (INIS)

    Goulding, A.J.; Sabatier, G.

    2005-01-01

    This study was commissioned to review electricity rates charged to residential consumers across Canada and to determine how the basics of ratemaking change from province to province. Rates in each province vary significantly due to differences in the industry structure and their resource base. It was noted that direct comparisons are difficult because some rates reflect the financing, fuel and opportunity costs of power. For that reason, a simple adjustment factor was developed for fair comparison between jurisdictions. This assessment compared the all-in cost to final consumers which includes power generation, transmission, distribution and all other charges, as calculated by Statistics Canada. It was revealed that Alberta is Canada's only province where prices to final consumers reflect the market value of the underlying commodity. Ratepayers have the advantage of not being responsible for bad investment choices in the power sector and there are no hidden subsidies due to provincial ownership of power resources. Another consumer advantage is that they receive appropriate price signals in terms of energy consumption and conservation. This report suggests that low electricity rates in other provinces can be expected to rise much more rapidly than those in Alberta in the coming decade as consumers may be charged the full value of the electricity they use. 18 refs., 9 figs

  8. Electric vehicles in low voltage residential grid: a danish case study

    DEFF Research Database (Denmark)

    Pillai, Jayakrishnan Radhakrishna; Huang, Shaojun; Thøgersen, Paul

    2012-01-01

    Electric Vehicles (EVs) have gained large interest in the energy sector as a carrier to support clean transportation and green electricity. The potential to use battery storages of electric vehicles as a sink for excess electricity that may result from large integration of wind power, especially...... in countries like Denmark, is widely discussed and promoted. However, the wide-spread adoption of EVs requires the provision of intelligent grid and EV charging infrastructure. To analyse and understand the amount of EVs that could be integrated in the local distribution grids, within its existing capabilities......, is absolutely essential for the system operators to plan and implement the levels of grid reinforcement and intelligence required. This paper investigates the local grid limitations to accommodate large amount of EVs of sizable power ratings in residential areas. The case study applied in this paper uses...

  9. Electricity consumption and ICT in the French service sector

    Energy Technology Data Exchange (ETDEWEB)

    Collard, Fabrice [Toulouse Univ., (GREMAQ-CNRS, IDEI), Toulouse (France); Feve, Patrick [GREMAQ-Univ. de Toulouse 1, Toulouse, 31 (France); Portier, Franck [Toulouse Univ., (GREMAQ, LEERNA, IDEI, IUF, CEPR), Toulouse (France)

    2005-05-01

    The paper documents the evolution of electricity use and the development of information and communication (IC) technologies in the French service sector. To that purpose, we put together two data sets documenting electricity consumption and the diffusion of IC capital goods. Using a simple factor demand model, we estimate the structural parameters of the model using both the time series and the cross-sectional dimension of the data, and allow for a specific effect of IC capital goods on the efficiency of electricity in production. We obtain robust results showing that, once controlled for technical progress, prices, and heated areas, electricity intensity of production increases with computers and software, while it decreases with the diffusion of communication device. (Author)

  10. Module Embedded Micro-inverter Smart Grid Ready Residential Solar Electric System

    Energy Technology Data Exchange (ETDEWEB)

    Agamy, Mohammed [GE Global Research Center, Niskayuna, NY (United States)

    2015-10-27

    The “Module Embedded Micro-inverter Smart Grid Ready Residential Solar Electric System” program is focused on developing innovative concepts for residential photovoltaic (PV) systems with the following objectives: to create an Innovative micro-inverter topology that reduces the cost from the best in class micro-inverter and provides high efficiency (>96% CEC - California Energy Commission), and 25+ year warranty, as well as reactive power support; integrate micro-inverter and PV module to reduce system price by at least $0.25/W through a) accentuating dual use of the module metal frame as a large area heat spreader reducing operating temperature, and b) eliminating redundant wiring and connectors; and create micro-inverter controller handles smart grid and safety functions to simplify implementation and reduce cost.

  11. Value of flexible consumption in the electricity markets

    DEFF Research Database (Denmark)

    Biegel, Benjamin; Hansen, Lars Henrik; Stoustrup, Jakob

    2014-01-01

    A transition from an oil and coal based energy system to a systems based on renewable and sustainable energy sources has begun in many countries throughout the developed world. As a pioneer, Denmark currently has a wind energy penetration of 30% in the electricity sector and an end goal of 100......% renewables in all energy sectors by 2050. The main elements in this transition are an increase in the wind energy production and electrification of main energy sectors such as transport and heating. Activation of flexible consumption in the electricity markets is believed to be one of the means to compensate...... for the growth of fluctuating renewables and the decrease of conventional power plants providing system-stabilizing services. In this work, we examine the requirements for flexible consumption to be active in the spot market and the regulating power market in the Nordic system and estimate the costs of entering...

  12. Influence of meteorological conditions on electricity consumption in France

    International Nuclear Information System (INIS)

    Chauvin, F.; Javelle, J.P.; Calvayrac, A.M.

    1992-01-01

    Electric consumption is modeled by Electricite de France, in taking into account temperature and cloud cover in 6 selected sites. The aim of the study is to improve this model by a better climate representation and introduction of new parameters. The model is improved by taking into account climatic characteristics of each region and a simplification of the cloudiness factor facilitates the forecast. Furthermore no new parameter is required

  13. Between 3 June and 3 August, limit your electricity consumption

    CERN Multimedia

    2013-01-01

    CERN is normally supplied by the French 400 kV RTE/EDF network and has a reduced-power backup supply from the Swiss 130 kV ALPIQ/SIG network. During LS1, from 3 June to 3 August 2013, the EN-EL Electrical Engineering Group will be carrying out maintenance and consolidation work on CERN’s 400 kV and 66 kV substations. On 3 June 2013, CERN’s power supply will be transferred with no interruption to the Swiss 130 kV network. The power available will technically be limited to 50 MW, a threshold which is compatible with the current level of consumption given that the warming up of the LHC’s cryogenic installations is now complete. During this critical two-month period, CERN’s electricity consumption will be closely monitored by operators in the CERN Control Centre (CCC) and must be kept below 50 MW. To avoid any risk of overloading or load-shedding, the Electrical Engineering Group are asking all users to limit their consumption during this period. Thank you for your ...

  14. Between 3 June and 3 August, limit your electricity consumption

    CERN Multimedia

    2013-01-01

    CERN is normally supplied by the French 400 kV RTE/EDF network and has a reduced-power backup supply from the Swiss 130 kV ALPIQ/SIG network. During LS1, from 3 June to 3 August 2013, the EN-EL Electrical Engineering Group will be carrying out maintenance and consolidation work on CERN’s 400 kV and 66 kV substations. On 3 June 2013, CERN’s power supply will be transferred with no interruption to the Swiss 130 kV network. The power available will technically be limited to 50 MW, a threshold which is compatible with the current level of consumption given that the warming up of the LHC’s cryogenic installations is now complete. During this critical two-month period, CERN’s electricity consumption will be closely monitored by operators in the CERN Control Centre (CCC) and must be kept below 50 MW. To avoid any risk of overloading or load-shedding, the Electrical Engineering Group are asking all users to limit their consumption during this period. Thank you for your c...

  15. A New Anomaly Detection System for School Electricity Consumption Data

    Directory of Open Access Journals (Sweden)

    Wenqiang Cui

    2017-11-01

    Full Text Available Anomaly detection has been widely used in a variety of research and application domains, such as network intrusion detection, insurance/credit card fraud detection, health-care informatics, industrial damage detection, image processing and novel topic detection in text mining. In this paper, we focus on remote facilities management that identifies anomalous events in buildings by detecting anomalies in building electricity consumption data. We investigated five models within electricity consumption data from different schools to detect anomalies in the data. Furthermore, we proposed a hybrid model that combines polynomial regression and Gaussian distribution, which detects anomalies in the data with 0 false negative and an average precision higher than 91%. Based on the proposed model, we developed a data detection and visualization system for a facilities management company to detect and visualize anomalies in school electricity consumption data. The system is tested and evaluated by facilities managers. According to the evaluation, our system has improved the efficiency of facilities managers to identify anomalies in the data.

  16. 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.

  17. The Risk of Residential Peak Electricity Demand: A Comparison of Five European Countries

    Directory of Open Access Journals (Sweden)

    Jacopo Torriti

    2017-03-01

    Full Text Available The creation of a Europe-wide electricity market combined with the increased intermittency of supply from renewable sources calls for an investigation into the risk of aggregate peak demand. This paper makes use of a risk model to assess differences in time-use data from residential end-users in five different European electricity markets. Drawing on the Multinational Time-Use Survey database, it assesses risk in relation to the probability of electrical appliance use within households for five European countries. Findings highlight in which countries and for which activities the risk of aggregate peak demand is higher and link smart home solutions (automated load control, dynamic pricing and smart appliances to different levels of peak demand risk.

  18. Empirical Investigations of the Opportunity Limits of Automatic Residential Electric Load Shaping: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Cruickshank, Robert F.; Henze, Gregor P.; Balaji, Rajagopalan; Hodge, Bri-Mathias S.; Florita, Anthony R.

    2017-04-01

    Residential electric load shaping is often modeled as infrequent, utility-initiated, short-duration deferral of peak demand through direct load control. In contrast, modeled herein is the potential for frequent, transactive, intraday, consumer-configurable load shaping for storage-capable thermostatically controlled electric loads (TCLs), including refrigerators, freezers, and hot water heaters. Unique to this study are 28 months of 15-minute-interval observations of usage in 101 homes in the Pacific Northwest United States that specify exact start, duration, and usage patterns of approximately 25 submetered loads per home. The magnitudes of the load shift from voluntarily-participating TCL appliances are aggregated to form hourly upper and lower load-shaping limits for the coordination of electrical generation, transmission, distribution, storage, and demand. Empirical data are statistically analyzed to define metrics that help quantify load-shaping opportunities.

  19. Characterization of the household electricity consumption in the EU, potential energy savings and specific policy recommendations

    Energy Technology Data Exchange (ETDEWEB)

    Fonseca, Paula; Almeida, Anibal de (ISR-Univ. of Coimbra, Dep. Electrical Engineering (Portugal)). e-mail: pfonseca@isr.uc.pt; Feilberg, Nicolai (SINTEF Energiforskning AS (Norway)); Markogiannakis, George (Centre for Renewable Energy Sources - CRES (Greece)); Kofod, Casper (Energy piano (Denmark))

    2009-07-01

    Although significant improvements in energy efficiency have been achieved in home appliances and lighting, the electricity consumption in the average EU-27 household has been increasing by about 2% per year during the past 10 years. Some reasons for such increase are associated with an increased degree of basic comfort and level of amenities (particularly in the new EU member countries) and also with the widespread utilization of relatively new types of loads whose penetration and use has experienced a very significant growth in recent years. With the objective of contributing to an increased understanding of the energy consumption in the EU-27 households for the different types of equipment including the consumers' behaviour and comfort levels, and to identify demand trends, a large energy monitoring campaign, co-funded by the IEE programme, was carried out in 12 countries, accompanied by a lifestyle consumer survey. From the measurements carried out it can be concluded that IT and entertainment loads, including standby, are a key contributor to the power demand. In basically all types of loads there is wide range of performance levels, including new emerging technologies, in the models available in the market. Available technology, associated with responsible consumer behaviour, can reduce wasteful consumption. The potential electricity savings that exist in the residential sector in Europe, and that can already be implemented by existing means, like the use of BAT (best available technology) efficient appliances or the elimination/mitigation of standby consumption, can reach up to 48% savings. Specific policy recommendations to promote market transformation and behavioural changes in the equipment selection and operation have been identified.

  20. Did residential electricity rates fall after retail competition? A dynamic panel analysis

    International Nuclear Information System (INIS)

    Swadley, Adam; Yücel, Mine

    2011-01-01

    A key selling point for the restructuring of electricity markets was the promise of lower prices. There is not much consensus in earlier studies on the effects of electricity deregulation in the U.S., particularly for residential customers. Part of the reason for not finding a consistent link with deregulation and lower prices was that the removal of transitional price caps led to higher prices. In addition, the timing of the removal of price caps coincided with rising fuel prices, which were passed on to consumers in a competitive market. Using a dynamic panel model, we analyze the effect of participation rates, fuel costs, market size, a rate cap and switch to competition for 16 states and the District of Columbia. We find that an increase in participation rates, price controls, a larger market, and high shares of hydro in electricity generation lower retail prices, while increases in natural gas and coal prices increase rates. We also find that retail competition makes the market more efficient by lowering the markup of retail prices over wholesale costs. The effects of a competitive retail electricity market are mixed across states, but generally appear to lower prices in states with high participation rates. - Highlights: ► We analyze the effects of retail competition in electricity markets on residential retail prices. ► Analysis carried out using a dynamic panel model; monthly data for 17 U.S. states. ► More customer participation and larger market lead to lower prices. ► Higher fuel costs increase retail prices, but with a lag. ► Retail competition leads to a more efficient electricity market.

  1. Modelling electric trains energy consumption using Neural Networks

    Energy Technology Data Exchange (ETDEWEB)

    Martinez Fernandez, P.; Garcia Roman, C.; Insa Franco, R.

    2016-07-01

    Nowadays there is an evident concern regarding the efficiency and sustainability of the transport sector due to both the threat of climate change and the current financial crisis. This concern explains the growth of railways over the last years as they present an inherent efficiency compared to other transport means. However, in order to further expand their role, it is necessary to optimise their energy consumption so as to increase their competitiveness. Improving railways energy efficiency requires both reliable data and modelling tools that will allow the study of different variables and alternatives. With this need in mind, this paper presents the development of consumption models based on neural networks that calculate the energy consumption of electric trains. These networks have been trained based on an extensive set of consumption data measured in line 1 of the Valencia Metro Network. Once trained, the neural networks provide a reliable estimation of the vehicles consumption along a specific route when fed with input data such as train speed, acceleration or track longitudinal slope. These networks represent a useful modelling tool that may allow a deeper study of railway lines in terms of energy expenditure with the objective of reducing the costs and environmental impact associated to railways. (Author)

  2. The electric tariff in the residential sector; Tarificacion electrica en el sector residencial

    Energy Technology Data Exchange (ETDEWEB)

    Sheinbaum Pardo, Claudia [Instituto de Ingenieria, Universidad Nacional Autonoma de Mexico (UNAM), Mexico, D. F. (Mexico)

    1997-12-31

    The main objective of this paper is to make an historical revision and analyze the current condition of the electric tariffs in the Mexican residential sector and ask ourselves if the equalization of tariffs generates the possibility that the entire population has access to the electricity service. The document is divided into three parts. The first one presents the history and the tendencies of the tariffs in the domestic sector in Mexico since 1973 until 1996 and the current tariff structure. The second one describes the characteristics of the residential users and mention is made of how the increment of the electric tariffs would affect the various population sectors. The last part of this paper presents some tariff criteria, that take into account energy conservation measures [Espanol] El objetivo principal de este trabajo es hacer una revision historica y analizar la situacion actual de las tarifas electricas en el sector residencial mexicano y preguntarnos si la igualdad de tarifas genera la posibilidad de que toda la poblacion tenga acceso al servicio electrico. El documento se divide en tres partes. La primera presenta la historia y tendencias de las tarifas del sector domestico en Mexico desde 1973 hasta 1996 y la estructura tarifaria actual. La segunda describe las caracteristicas de los usuarios residenciales y se menciona como afectaria el incremento de las tarifas electricas a los distintos sectores de la poblacion. La ultima parte de este trabajo presenta algunos criterios de tarificacion, que toman en cuenta medidas de ahorro de energia

  3. SAS-macros for estimation and prediction in an model of the electricity consumption

    DEFF Research Database (Denmark)

    1998-01-01

    SAS-macros for estimation and prediction in an model of the electricity consumption'' is a large collection of SAS-macros for handling a model of the electricity consumption in the Eastern Denmark. The macros are installed at Elkraft, Ballerup.......SAS-macros for estimation and prediction in an model of the electricity consumption'' is a large collection of SAS-macros for handling a model of the electricity consumption in the Eastern Denmark. The macros are installed at Elkraft, Ballerup....

  4. Electricity consumption, employment and real income in Australia evidence from multivariate Granger causality tests

    International Nuclear Information System (INIS)

    Narayan, P.K.; Smyth, Russell

    2005-01-01

    This paper examines the relationship between electricity consumption, employment and real income in Australia within a cointegration and causality framework. We find that electricity consumption, employment and real income are cointegrated and that in the long-run employment and real income Granger cause electricity consumption, while in the short run there is weak unidirectional Granger causality running from income to electricity consumption and from income to employment

  5. Forecast of electricity consumption in Cyprus up to the year 2030. The potential impact of climate change

    International Nuclear Information System (INIS)

    Zachariadis, Theodoros

    2010-01-01

    This paper provides a forecast of electricity consumption in Cyprus up to the year 2030, based on econometric analysis of energy use as a function of macroeconomic variables, prices and weather conditions. If past trends continue electricity use is expected to triple in the coming 20-25 years, with the residential and commercial sectors increasing their already high shares in total consumption. Besides this reference scenario it was attempted to assess the impact of climate change on electricity use. According to official projections, the average temperature in the Eastern Mediterranean is expected to rise by about 1 C by the year 2030. Using our econometrically estimated model, we calculated that electricity consumption in Cyprus may be about 2.9% higher in 2030 than in the reference scenario. This might lead to a welfare loss of 15 million Euros in 2020 and 45 million Euros in 2030; for the entire period 2008-2030 the present value of costs may exceed 200 million Euros (all expressed in constant Euros of 2007). Moreover, we assessed the additional peak electricity load requirements in the future because of climate change: extra load may amount to 65-75 Megawatts (MW) in the year 2020 and 85-95 MW in 2030. (author)

  6. Investment appraisal of technology innovations on dairy farm electricity consumption.

    Science.gov (United States)

    Upton, J; Murphy, M; De Boer, I J M; Groot Koerkamp, P W G; Berentsen, P B M; Shalloo, L

    2015-02-01

    The aim of this study was to conduct an investment appraisal for milk-cooling, water-heating, and milk-harvesting technologies on a range of farm sizes in 2 different electricity-pricing environments. This was achieved by using a model for electricity consumption on dairy farms. The model simulated the effect of 6 technology investment scenarios on the electricity consumption and electricity costs of the 3 largest electricity-consuming systems within the dairy farm (i.e., milk-cooling, water-heating, and milking machine systems). The technology investment scenarios were direct expansion milk-cooling, ice bank milk-cooling, milk precooling, solar water-heating, and variable speed drive vacuum pump-milking systems. A dairy farm profitability calculator was combined with the electricity consumption model to assess the effect of each investment scenario on the total discounted net income over a 10-yr period subsequent to the investment taking place. Included in the calculation were the initial investments, which were depreciated to zero over the 10-yr period. The return on additional investment for 5 investment scenarios compared with a base scenario was computed as the investment appraisal metric. The results of this study showed that the highest return on investment figures were realized by using a direct expansion milk-cooling system with precooling of milk to 15°C with water before milk entry to the storage tank, heating water with an electrical water-heating system, and using standard vacuum pump control on the milking system. Return on investment figures did not exceed the suggested hurdle rate of 10% for any of the ice bank scenarios, making the ice bank system reliant on a grant aid framework to reduce the initial capital investment and improve the return on investment. The solar water-heating and variable speed drive vacuum pump scenarios failed to produce positive return on investment figures on any of the 3 farm sizes considered on either the day and night

  7. A mechanistic model for electricity consumption on dairy farms: Definition, validation, and demonstration

    OpenAIRE

    Upton, J.R.; Murphy, M.; Shallo, L.; Groot Koerkamp, P.W.G.; Boer, de, I.J.M.

    2014-01-01

    Our objective was to define and demonstrate a mechanistic model that enables dairy farmers to explore the impact of a technical or managerial innovation on electricity consumption, associated CO2 emissions, and electricity costs. We, therefore, (1) defined a model for electricity consumption on dairy farms (MECD) capable of simulating total electricity consumption along with related CO2 emissions and electricity costs on dairy farms on a monthly basis; (2) validated the MECD using empirical d...

  8. Feasibility study on combined use of residential SOFC cogeneration system and plug-in hybrid electric vehicle from energy-saving viewpoint

    International Nuclear Information System (INIS)

    Wakui, Tetsuya; Wada, Naohiro; Yokoyama, Ryohei

    2012-01-01

    Highlights: ► Optimal operational planning for combined use of SOFC-CGS and PHEV is conducted. ► Charging PHEV with SOFC-CGS increases electric capacity factor of SOFC-CGS. ► Energy-saving effect of combined use is higher than that of their separate use. ► Combined use provides energy savings in both residential and transport sectors. - Abstract: The energy-saving effect of a combined use of a residential solid oxide fuel cell cogeneration system (SOFC-CGS) that adopts a continuous operation, and a plug-in hybrid electric vehicle (PHEV) is discussed by optimal operational planning based on mixed-integer linear programming. This combined use aims to increase the electric capacity factor of the SOFC-CGS by charging the PHEV using the SOFC-CGS electric power output late at night, and targets the application in regions where the reverse power flow from residential cogeneration systems to commercial electric power systems is not permitted, like in Japan. The optimal operation patterns of the combined use of 0.7-kWe SOFC-CGS and PHEV for a simulated energy demand with a sampling time of 1 h and various daily running distances of the PHEV show that this combined use increases the electric capacity factor of the SOFC-CGS and saves more energy in comparison with their separate use in which the SOFC-CGS is used but the PHEV is charged only with purchased electric power. Furthermore, it is found that at the PHEV daily running distance of 12 km/d, the reduction rate of the annual primary energy consumption for this combined use increases by up to 3.7 percentage points relative to their separate use. Consequently, this feasibility study reveals that the combined use of the SOFC-CGS and PHEV provides the synergistic effect on energy savings in the residential and transport sectors. For the practical use, simulation scenarios considering the energy demand fluctuations with short periods and real-time pricing of the purchased electric power must be considered as future

  9. Industrial and residential electricity demand dynamics in Japan: How did price and income elasticities evolve from 1989 to 2014?

    International Nuclear Information System (INIS)

    Wang, Nan; Mogi, Gento

    2017-01-01

    This study estimates the price and income elasticities of industrial and residential electricity demand in Japan with the annual data from 1989 to 2014. A time varying parameter (TVP) model with the Kalman filter is applied to monitor the evolution of consumer behaviors in the “post-bubble” period given the exogenous shock (financial crisis in 2008) and the structural breaks (electricity deregulation and Fukushima Daiichi crisis). The TVP model can provide a robust estimation of elasticities and can detect the outliers and the structural breaks. The results suggest that both industrial and residential consumers become less sensitive to price after the electricity deregulation and the financial crisis, and more sensitive to price after the Fukushima Daiichi crisis. Especially the industrial sector is less sensitive to price after the retail deregulation. By contrast, the income elasticities of industrial and residential sector consumers are stable during the examined period. Results also indicate that a negative relationship exists between the price elasticity of electricity demand and the price level of electricity after the electric sector deregulation. Some insights on the further electric sector reform and the environmental taxation in Japan are also provided. - Highlights: • A time varying parameter model is calculated with the Kalman filter. • Income elasticities are stable while price elasticities are time-varying. • Industrial sector is less sensitive to price change than residential sector. • Negative relationship between price elasticity and price level is found.

  10. Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs

    Science.gov (United States)

    Simon, Victor; Johansson, Carl-Anders; Galar, Diego

    2017-09-01

    All electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine's future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.

  11. AGGREGATION OF ELECTRIC CURRENT CONSUMPTION FEATURES TO EXTRACT MAINTENANCE KPIs

    Directory of Open Access Journals (Sweden)

    Victor SIMON

    2017-07-01

    Full Text Available All electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs from the electric current signal. Depending on the time window, sampling frequency and type of analysis, differ-ent indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or con-sumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine’s future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.

  12. An Electrical Energy Consumption Monitoring and Forecasting System

    Directory of Open Access Journals (Sweden)

    J. L. Rojas-Renteria

    2016-10-01

    Full Text Available Electricity consumption is currently an issue of great interest for power companies that need an as much as accurate profile for controlling the installed systems but also for designing future expansions and alterations. Detailed monitoring has proved to be valuable for both power companies and consumers. Further, as smart grid technology is bound to result to increasingly flexible rates, an accurate forecast is bound to prove valuable in the future. In this paper, a monitoring and forecasting system is investigated. The monitoring system was installed in an actual building and the recordings were used to design and evaluate the forecasting system, based on an artificial neural network. Results show that the system can provide detailed monitoring and also an accurate forecast for a building’s consumption.

  13. Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling

    International Nuclear Information System (INIS)

    Heymans, Catherine; Walker, Sean B.; Young, Steven B.; Fowler, Michael

    2014-01-01

    The reuse of Li-ion EV batteries for energy storage systems (ESS) in stationary settings is a promising technology to support improved management of demand and supply of electricity. In this paper, MatLAB simulation of a residential energy profile and regulated cost structure is used to analyze the feasibility of and cost savings from repurposing an EV battery unit for peak-shifting. in situ residential energy storage can contribute to the implementation of a smart grid by supporting the reduction of demand during typical peak use periods. Use of an ESS increases household energy use but potentially improves economic effectiveness and reduces greenhouse gas emissions. The research supports the use of financial incentives for Li-ion battery reuse in ESS, including lower energy rates and reduced auxiliary fees. - Highlights: • EV Li-ion batteries can be reused in stationary energy storage systems (ESS). • A single ESS can shift 2 to 3 h of electricity used in a house. • While energy use increases, potential economic and environmental effectiveness improve. • ESS supports smart grid objectives. • Incentives like reduced fees are needed to encourage implementation of Li-ion battery ESS

  14. Meeting the Electrical Energy Needs of a Residential Building with a Wind-Photovoltaic Hybrid System

    Directory of Open Access Journals (Sweden)

    Mohammad Hosein Mohammadnezami

    2015-03-01

    Full Text Available A complete hybrid system including a photovoltaic cell, a wind turbine, and battery is modeled to determine the best approach for sizing the system to meet the electrical energy needs of a residential building. In evaluating system performance, the city of Tehran is used as a case study. Matlab software is used for analyzing the data and optimizing the system for the given application. Further, the cost of the system design is investigated, and shows that the electrical cost of the hybrid system in Tehran is 0.62 US$/kWh, which is 78% less expensive than a wind turbine system and 34% less expensive than a photovoltaic system.

  15. A Cost-Effective Electric Vehicle Charging Method Designed For Residential Homes with Renewable Energy

    Science.gov (United States)

    Lie, T. T.; Liang, Xiuli; Haque, M. H.

    2015-03-01

    Most of the electrical infrastructure in use around the world today is decades old, and may be illsuited to widespread proliferation of personal Electric Vehicles (EVs) whose charging requirements will place increasing strain on grid demand. In order to reduce the pressure on the grid and taking benefits of off peak charging, this paper presents a smart and cost effective EV charging methodology for residential homes equipped with renewable energy resources such as Photovoltaic (PV) panels and battery. The proposed method ensures slower battery degradation and prevents overcharging. The performance of the proposed algorithm is verified by conducting simulation studies utilizing running data of Nissan Altra. From the simulation study results, the algorithm is shown to be effective and feasible which minimizes not only the charging cost but also can shift the charging time from peak value to off-peak time.

  16. Living in imaginary places: on the creation and consumption of themed residential architecture

    NARCIS (Netherlands)

    Meier, S.O.

    2013-01-01

    This study deals with theming of residential space and architecture. In theoretical terms, theming is defined as the application of a narrative to places and the built environment to make them more appealing than they otherwise would be. In a broader sense it is argued that theming is related to an

  17. 1992 statistical data on electricity consumption and generation in Bulgaria

    International Nuclear Information System (INIS)

    Georgiev, A.

    1993-01-01

    The report provides data on monthly power consumption based on peak-day load profiles, power balance of electric system in peak hours of absolute maximal load and analysis of usability of different kinds of power plants in the country. The total energy production for all power plants for 1992 is 35555 ml kWh - 48.6 % TPP, 32.5% NPP, 5.8% HPP, 8.5% in-house TPP, 4.6 district heating PP. 14 tabs., 5 figs. (author)

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

    DEFF Research Database (Denmark)

    Hansen, Anders Rhiger

    2013-01-01

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

  19. The Private Net Benefits of Residential Solar PV: The Role of Electricity Tariffs, Tax Incentives and Rebates

    OpenAIRE

    Severin Borenstein

    2015-01-01

    With dramatic declines in the cost of solar PV technology over the last 5 years, the electricity industry is in the midst of discussions about whether to use this low-polluting renewable energy source in grid-scale generation or in distributed generation (DG), mostly with rooftop solar PV. California has led the growth in DG solar in the U.S. I use 2007 to early 2014 residential data from Pacific Gas & Electric – the utility with largest number of residential solar customers in the U.S. – to ...

  20. Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting

    Directory of Open Access Journals (Sweden)

    Federico Divina

    2018-04-01

    Full Text Available The ability to predict short-term electric energy demand would provide several benefits, both at the economic and environmental level. For example, it would allow for an efficient use of resources in order to face the actual demand, reducing the costs associated to the production as well as the emission of CO 2 . To this aim, in this paper we propose a strategy based on ensemble learning in order to tackle the short-term load forecasting problem. In particular, our approach is based on a stacking ensemble learning scheme, where the predictions produced by three base learning methods are used by a top level method in order to produce final predictions. We tested the proposed scheme on a dataset reporting the energy consumption in Spain over more than nine years. The obtained experimental results show that an approach for short-term electricity consumption forecasting based on ensemble learning can help in combining predictions produced by weaker learning methods in order to obtain superior results. In particular, the system produces a lower error with respect to the existing state-of-the art techniques used on the same dataset. More importantly, this case study has shown that using an ensemble scheme can achieve very accurate predictions, and thus that it is a suitable approach for addressing the short-term load forecasting problem.

  1. Analyzing and Forecasting Electrical Load Consumption in Healthcare Buildings

    Directory of Open Access Journals (Sweden)

    Rodolfo Gordillo-Orquera

    2018-02-01

    Full Text Available Healthcare buildings exhibit a different electrical load predictability depending on their size and nature. Large hospitals behave similarly to small cities, whereas primary care centers are expected to have different consumption dynamics. In this work, we jointly analyze the electrical load predictability of a large hospital and that of its associated primary care center. An unsupervised load forecasting scheme using combined classic methods of principal component analysis (PCA and autoregressive (AR modeling, as well as a supervised scheme using orthonormal partial least squares (OPLS, are proposed. Both methods reduce the dimensionality of the data to create an efficient and low-complexity data representation and eliminate noise subspaces. Because the former method tended to underestimate the load and the latter tended to overestimate it in the large hospital, we also propose a convex combination of both to further reduce the forecasting error. The analysis of data from 7 years in the hospital and 3 years in the primary care center shows that the proposed low-complexity dynamic models are flexible enough to predict both types of consumption at practical accuracy levels.

  2. Experiment with flexible electric power consumption; Demonstrationsforsoeg med fleksibelt elforbrug

    Energy Technology Data Exchange (ETDEWEB)

    Pedersen, Thomas Emil (Dong Energy A/S, Fredericia (Denmark))

    2009-09-15

    The emergence of interactive meters with communication module has made it possible that electricity consumption at different customer segments can be activated in a new way of benefit for the customer, the electricity company and the system operator. In this demonstration project customer segment is larger commercial properties and public institutions. In conclusion, it is technically possible to manage and activate the potential for demand response within the segment of large office blocks and public buildings. Practical experiments have shown that it is more expensive to achieve flexibility in power consumption for older properties than for a newly built property. The economics of demand response within office buildings are currently (prices as of 2008) not so attractive for either the customer or the utility company in relation to the investments needed to be made at both the customer and the utility company to build an infrastructure. It should also be noted that there may be relatively much work involved in handling a lot of small systems compared to systems of large effects, for example 500 kW and more. It is therefore the more attractive systems within the industrial customer segments with plants as UPS systems, cooling systems in cold storage rooms and the like which has the potential of a size that should be ground-breaking by building an infrastructure to manage power demand response, so that it eventually becomes marginally cheaper also handle minor power effects like those in office buildings. (ln)

  3. Modelling weather effects for impact analysis of residential time-of-use electricity pricing

    International Nuclear Information System (INIS)

    Miller, Reid; Golab, Lukasz; Rosenberg, Catherine

    2017-01-01

    Analyzing the impact of pricing policies such as time-of-use (TOU) is challenging in the presence of confounding factors such as weather. Motivated by a lack of consensus and model selection details in prior work, we present a methodology for modelling the effect of weather on residential electricity demand. The best model is selected according to explanatory power, out-of-sample prediction accuracy, goodness of fit and interpretability. We then evaluate the effect of mandatory TOU pricing in a local distribution company in southwestern Ontario, Canada. We use a smart meter dataset of over 20,000 households which is particularly suited to our analysis: it contains data from the summer before and after the implementation of TOU pricing in November 2011, and all customers transitioned from tiered rates to TOU rates at the same time. We find that during the summer rate season, TOU pricing results in electricity conservation across all price periods. The average demand change during on-peak and mid-peak periods is −2.6% and −2.4% respectively. Changes during off-peak periods are not statistically significant. These TOU pricing effects are less pronounced compared to previous studies, underscoring the need for clear, reproducible impact analyses which include full details about the model selection process. - Highlights: • We study models for the effect of weather on residential electricity demand. • We evaluate the effect of mandatory TOU pricing in a local distribution company in Ontario, Canada. • We find the effect of TOU pricing to be less pronounced compared to previous studies.

  4. Reducing consumption of electric current and energy carriers. [USSR

    Energy Technology Data Exchange (ETDEWEB)

    Ruppo, A.S.; Gruzdev, Yu.M.

    1985-01-01

    Evaluates the energy conservation program developed by the Giproshakht research institute is evaluated. The program was used in the Afanas'evo hydraulic mine in the Tulaugol association (with annual coal output of 2.1 Mt). Energy conservation program consisted of 2 groups of tasks: reducing energy consumption of the mine, and reducing energy consumption during the maximum demand hours in the morning and evening. The following methods were used: reducing idle running of chain and belt conveyors, separate draining of mine water free of dust and rock particles (reducing range of water cleaning), use of automatic control systems for mine blowers, automatic control of the system for coal drying, more efficient use of coal and materials transport in the mine. Energy demand of the mine during peak demand hours was reduced by adjusting fluctuations of energy consumption of the mine to fluctuations of energy demand in the power system of the area, e.g. by reducing mine draining in the morning and evening and operating at full capacity during the time of reduced energy demand. Using the energy conservation measures economized 4,324,300 kWh electric energy annually.

  5. Engine thermomanagement with electrical components for fuel consumption reduction

    Energy Technology Data Exchange (ETDEWEB)

    Cortona, E.; Onder, C.H.; Guzzella, L. [Swiss Federal Inst. of Technology, Zurich (Switzerland)

    2002-09-01

    This paper proposes a solution for advanced temperature control of the relevant temperature of a combustion engine. It analyses the possibility of reducing vehicle fuel consumption by improving engine thermomanagement. In conventional applications, combustion engine cooling systems are designed to guarantee sufficient heat removal at full load. The cooling pump is belt-driven by the combustion engine crankshaft, resulting in a direct coupling of engine and cooling pump speeds. It is dimensioned such that it can guarantee adequate performance over the full engine speed range. This causes an excessive flow of cooling fluid at part-load conditions and at engine cold-start. This negatively affects the engine efficiency and, as a consequence, the overall fuel consumption. Moreover, state-of-the-art cooling systems allow the control of the coolant temperature only by expansion thermostats (solid-to-liquid phase wax actuators). The resulting coolant temperature does not permit engine efficiency to be optimized. In this paper, active control of the coolant flow as well as of the coolant temperature has been realized using an electrical cooling pump and an electrically driven valve which controls the flow distribution between the radiator and its bypass. For this purpose, a control-oriented model of the whole cooling system has been derived. Model-based feedforward and feedback controls of coolant temperature and flow have been designed and tested. With the additional actuators and the model-based control scheme, a good performance in terms of fast heat-up and small temperature overshoot has been achieved. The improvements in fuel consumption obtained with the proposed configuration have been verified on a dynamic testbench. Both engine cold-start under stationary engine operation and the European driving cycle MVEG-A with engine cold-start were tested. The fuel consumption reductions achieved during these tests vary between 2.8 and 4.5 per cent, depending on the engine

  6. Living in imaginary places: on the creation and consumption of themed residential architecture

    OpenAIRE

    Meier, S.O.

    2013-01-01

    This study deals with theming of residential space and architecture. In theoretical terms, theming is defined as the application of a narrative to places and the built environment to make them more appealing than they otherwise would be. In a broader sense it is argued that theming is related to an intensified commodification of places through which, in turn, the number of hyperspaces has been increased. While theming primarily has been applied to restaurants, shopping malls or theme parks, t...

  7. 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.

  8. Prediction of electric power consumption in the Petrolina city, PE-Brazil; Previsao de consumo de energia eletrica na cidade de Petrolina - PE

    Energy Technology Data Exchange (ETDEWEB)

    Caldas, Alexandre Alex Silva e; Santos, Eucymara Franca Nunes [Universidade Federal do Vale do Sao Francisco (UNIVASF), Juazeiro, BA (Brazil)

    2010-07-01

    This article presents mathematical equations as a way to forecast electricity consumption using the statistical method of multiple linear regression. The equations are presented using the model of least squares method for determining the regression coefficients, and respecting the division of industrial and residential customer classes in the city of Petrolina (PE). This article has the objective of providing companies and individuals who work in the areas of generation, transmission and distribution of electricity in the region a forecasting tool that ensures a reliable level projections of energy consumption, ensuring the necessary supply of energy, aiming to avoid situations such as occurred in Brazil in mid 2000 and 2001 from energy rationing. Then the paper has a significant relevance because there are not many works in this area of knowledge that address the interests of the region. At the end we present reliable methods derived from multiple linear regression equations, which guarantee a correct forecast of electricity consumption (author)

  9. An exploratory analysis of California residential customer response to critical peak pricing of electricity

    International Nuclear Information System (INIS)

    Herter, Karen; McAuliffe, Patrick; Rosenfeld, Arthur

    2007-01-01

    This paper summarizes the results from an exploratory analysis of residential customer response to a critical peak pricing (CPP) experiment in California, in which 15 times per year participating customers received high price signals dispatched by a local electricity distribution company. The high prices were about three times the on-peak price for the otherwise applicable time-of-use rate. Using hourly load data collected during the 15-month experiment, we find statistically significant load reduction for participants both with and without automated end-use control technologies. During 5-h critical peak periods, participants without control technology used up to 13% less energy than they did during normal peak periods. Participants equipped with programmable communicating thermostats used 25% and 41% less for 5 and 2h critical events, respectively. Thus, this paper offers convincing evidence that the residential sector can provide substantial contributions to retail demand response, which is considered a potential tool for mitigating market power, stabilizing wholesale market prices, managing system reliability, and maintaining system resource adequacy. (author)

  10. Modeling and prediction of Turkey's electricity consumption using Support Vector Regression

    International Nuclear Information System (INIS)

    Kavaklioglu, Kadir

    2011-01-01

    Support Vector Regression (SVR) methodology is used to model and predict Turkey's electricity consumption. Among various SVR formalisms, ε-SVR method was used since the training pattern set was relatively small. Electricity consumption is modeled as a function of socio-economic indicators such as population, Gross National Product, imports and exports. In order to facilitate future predictions of electricity consumption, a separate SVR model was created for each of the input variables using their current and past values; and these models were combined to yield consumption prediction values. A grid search for the model parameters was performed to find the best ε-SVR model for each variable based on Root Mean Square Error. Electricity consumption of Turkey is predicted until 2026 using data from 1975 to 2006. The results show that electricity consumption can be modeled using Support Vector Regression and the models can be used to predict future electricity consumption. (author)

  11. An econometric analysis of residential consumption of fuelwood in a mountainous prefecture of Northern Greece

    International Nuclear Information System (INIS)

    Arabatzis, G.; Malesios, Ch.

    2011-01-01

    Biomass is a renewable energy source of increasing importance, especially since the energy policies of countries today are largely focused on renewable energy. It is a renewable energy source with significant potential to contribute to the energy needs of modern society, both for developing and developed countries around the world. One very important source of biomass is wood and fuelwood in particular. This article aims at providing an empirical analysis of household fuelwood consumption and the determinants of the choice to use the specific energy for heating and cooking in a district of Northern Greece. In the current empirical analysis several household fuelwood consumption models are employed, such as GLM, Tobit and Heckman regression-based techniques. The results show that household sociological and economical characteristics as well as more general environmental issues are suitable to explain differences towards fuelwood consumption for space heating and cooking. We additionally evaluate the household fuelwood consumption for heating through the statistical analyses conducted. - Highlights: ► In this study we provide an empirical analysis of household fuel wood consumption. ► Determinants of the choice of specific energy for heating/cooking in Northern Greece are examined. ► Several household fuelwood consumption models are employed (GLM, Tobit and Heckman). ► Household's sociological/economical characteristics are suitable to explain fuel wood consumption. ► Also more general environmental issues explain differences towards fuel wood consumption.

  12. A High-Resolution Spatially Explicit Monte-Carlo Simulation Approach to Commercial and Residential Electricity and Water Demand Modeling

    Energy Technology Data Exchange (ETDEWEB)

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

    2016-01-01

    Abstract As urban areas continue to grow and evolve in a world of increasing environmental awareness, the need for high resolution spatially explicit estimates for energy and water demand has become increasingly important. Though current modeling efforts mark significant progress in the effort to better understand the spatial distribution of energy and water consumption, many are provided at a course spatial resolution or rely on techniques which depend on detailed region-specific data sources that are not publicly available for many parts of the U.S. Furthermore, many existing methods do not account for errors in input data sources and may therefore not accurately reflect inherent uncertainties in model outputs. We propose an alternative and more flexible Monte-Carlo simulation approach to high-resolution residential and commercial electricity and water consumption modeling that relies primarily on publicly available data sources. The method s flexible data requirement and statistical framework ensure that the model is both applicable to a wide range of regions and reflective of uncertainties in model results. Key words: Energy Modeling, Water Modeling, Monte-Carlo Simulation, Uncertainty Quantification Acknowledgment This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

  13. A structural VAR analysis of electricity consumption and real GDP: Evidence from the G7 countries

    International Nuclear Information System (INIS)

    Narayan, Paresh Kumar; Narayan, Seema; Prasad, Arti

    2008-01-01

    In this paper, we depart from the literature on electricity consumption-real GDP in that for the first time we examine the reaction of real GDP to shocks in electricity consumption. To achieve this goal, we use the structural vector autoregressive (SVAR) model and examine the impact of electricity consumption shocks on real GDP for the G7 countries. We find that except for the USA, electricity consumption has a statistically significant positive impact on real GDP over short horizons. This finding implies that except for the USA, electricity conservation policies will hurt real GDP in the G7 countries

  14. A MEMS AC current sensor for residential and commercial electricity end-use monitoring

    International Nuclear Information System (INIS)

    Leland, E S; Wright, P K; White, R M

    2009-01-01

    This paper presents a novel prototype MEMS sensor for alternating current designed for monitoring electricity end-use in residential and commercial environments. This new current sensor design is comprised of a piezoelectric MEMS cantilever with a permanent magnet mounted on the cantilever's free end. When placed near a wire carrying AC current, the magnet is driven sinusoidally, producing a voltage in the cantilever proportional to the current being measured. Analytical models were developed to predict the applicable magnetic forces and piezoelectric voltage output in order to guide the design of a sensor prototype. This paper also details the fabrication process for this sensor design. Released piezoelectric MEMS cantilevers have been fabricated using a four-mask process and aluminum nitride as the active piezoelectric material. Dispenser-printed microscale composite permanent magnets have been integrated, resulting in the first MEMS-scale prototypes of this current sensor design

  15. Electricity consumption and economic growth in Burkina Faso: A cointegration analysis

    International Nuclear Information System (INIS)

    Ouedraogo, Idrissa M.

    2010-01-01

    This study empirically establishes the direction of causality between electricity consumption and economic growth in Burkina Faso for the period 1968-2003. The bounds test yields evidence of cointegration between electricity consumption, GDP, and capital formation when electricity consumption and GDP are used as dependent variable. Causality results indicate that there is no significant causal relationship between electricity consumption and investment. Estimates, however, detect in the long-run a bidirectional causal relationship between electricity use and real GDP. There is also evidence of a positive feedback causal relationship between GDP and capital formation. Burkina Faso is therefore an energy dependent country. It is also a country in which electricity consumption is growing with the level of income. All of this shows that electricity is a significant factor in socio-economic development in Burkina Faso; as such, energy policy must be implemented to ensure that electricity generates fewer potential negative impacts.

  16. Associations between residential traffic noise exposure and smoking habits and alcohol consumption-A population-based study.

    Science.gov (United States)

    Roswall, Nina; Christensen, Jeppe Schultz; Bidstrup, Pernille Envold; Raaschou-Nielsen, Ole; Jensen, Steen Solvang; Tjønneland, Anne; Sørensen, Mette

    2018-05-01

    Traffic noise stresses and disturbs sleep. It has been associated with various diseases, and has recently also been associated with lifestyle. Hence, the association between traffic noise and disease could partly operate via a pathway of lifestyle habits, including smoking and alcohol intake. We investigated associations between modelled residential traffic noise and smoking habits and alcohol consumption. In a cohort of 57,053 participants, we performed cross-sectional analyses using data from a baseline questionnaire (1993-97), and longitudinal analyses of change between baseline and follow-up (2000-02). Smoking status (never, former, current) and intensity (tobacco, g/day) and alcohol consumption (g/day) was self-reported at baseline and follow-up. Address history from 1987-2002 for all participants were found in national registries, and road traffic and railway noise was modelled 1 and 5 years before enrolment, and from baseline to follow-up. Analyses were performed using logistic and linear regression, and adjusted for demographics, socioeconomic variables, leisure-time sports, and noise from the opposite source (road/railway). Road traffic noise exposure 5 years before baseline was positively associated with alcohol consumption (adjusted difference per 10 dB: 1.38 g/day, 95% confidence interval (CI): 1.10-1.65), smoking intensity (adjusted difference per 10 dB: 0.40 g/day, 95% CI: 0.19-0.61), and odds for being a current vs. never/former smoker at baseline (odds ratio (OR): 1.14; 95% CI: 1.10-1.17). In longitudinal analyses, we found no association between road traffic noise and change in smoking and alcohol habits. Railway noise was not associated with smoking habits and alcohol consumption, neither in cross-sectional nor in longitudinal analyses. The study suggests that long-term exposure to residential road traffic is associated with smoking habits and alcohol consumption, albeit only in cross-sectional, but not in longitudinal analyses. Copyright

  17. A mechanistic model for electricity consumption on dairy farms: Definition, validation, and demonstration

    NARCIS (Netherlands)

    Upton, J.R.; Murphy, M.; Shallo, L.; Groot Koerkamp, P.W.G.; Boer, de I.J.M.

    2014-01-01

    Our objective was to define and demonstrate a mechanistic model that enables dairy farmers to explore the impact of a technical or managerial innovation on electricity consumption, associated CO2 emissions, and electricity costs. We, therefore, (1) defined a model for electricity consumption on

  18. Determinants of electricity consumption function in Pakistan: Old wine in a new bottle

    International Nuclear Information System (INIS)

    Zaman, Khalid; Khan, Muhammad M.; Ahmad, Mehboob; Rustam, Rabiah

    2012-01-01

    The objective of the study is to re-investigate the multivariate electricity consumption function for Pakistan, particularly, economic growth, foreign direct investment and population growth over a 36-year time period, i.e., between 1975 and 2010. The study employed the bounds-testing procedure for cointegration which examines the short-run and long-run estimates. Dynamic short-run causality test is applied to determine the causality direction between electricity consumption and its determinants, by using Wald-F statistics. The results reveal that determinants of electricity consumption function are cointegrated and influx of foreign direct investment, income and population growth is positively related to electricity consumption in Pakistan. However, the intensity of these determinants is different on electricity consumption. If there is 1% increase in income, foreign direct investment and population growth; electricity consumption increases by 0.973%; 0.056% and 1.605%, respectively. This infers that income, foreign direct investment and population growth induce an increase in electricity consumption in Pakistan. Dynamic short-run causality test indicates that there has been unidirectional causality which is running from population growth to electricity consumption in Pakistan. - Highlights: ► To re-investigate the multivariate electricity consumption function for Pakistan. ► FDI, income and population growth are positively related to electricity consumption. ► The intensity of determinants is different on electricity consumption. ► Population growth exerts the major contributor to increase electricity consumption. ► Unidirectional causality running from population growth to electricity.

  19. Modeling and prediction of Turkey's electricity consumption using Artificial Neural Networks

    International Nuclear Information System (INIS)

    Kavaklioglu, Kadir; Ozturk, Harun Kemal; Canyurt, Olcay Ersel; Ceylan, Halim

    2009-01-01

    Artificial Neural Networks are proposed to model and predict electricity consumption of Turkey. Multi layer perceptron with backpropagation training algorithm is used as the neural network topology. Tangent-sigmoid and pure-linear transfer functions are selected in the hidden and output layer processing elements, respectively. These input-output network models are a result of relationships that exist among electricity consumption and several other socioeconomic variables. Electricity consumption is modeled as a function of economic indicators such as population, gross national product, imports and exports. It is also modeled using export-import ratio and time input only. Performance comparison among different models is made based on absolute and percentage mean square error. Electricity consumption of Turkey is predicted until 2027 using data from 1975 to 2006 along with other economic indicators. The results show that electricity consumption can be modeled using Artificial Neural Networks, and the models can be used to predict future electricity consumption. (author)

  20. Intelligent Swarm Firefly Algorithm for the Prediction of China’s National Electricity Consumption

    OpenAIRE

    Zhang, Guangfeng; Chen, Yi; Yu, Yongnian; Wu, Shaomin

    2017-01-01

    China’s energy consumption is the world’s largest and is still rising, leading to concerns of energy shortage and environmental issues. It is, therefore, necessary to estimate the energy demand and to examine the dynamic nature of the electricity consumption. In this paper, we develop a nonlinear model of energy consumption and utilise a computational intelligence approach, specifcally a swarm frefly algorithm with a variable population, to examine China’s electricity consumption with historic...

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

    Science.gov (United States)

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

    2011-12-01

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

  2. Networking in private households. Impacts on electricity consumption

    Energy Technology Data Exchange (ETDEWEB)

    Aebischer, B. [Center for Energy Policy and Economics, Swiss Federal Institute of Technology (EPFZ), Zuerich (Switzerland); Huser, A. [Encontrol GmbH, Niederrohrdorf (Switzerland)

    2000-07-01

    With the rapidly increasing use of the Internet for private purposes, it is possible that the concept of the 'intelligent home', which has been a matter of wishful thinking for many years now, will become reality in the near future. The fusion of the various media is both the catalyst and, at the same time, the first visible sign of this evolution. The development of user-friendly people-to-machine interfaces and new services, together with the possibility to 'have a look' back home and intervene from there at any time and from any location, will also foster the interconnection of white goods and the intelligent control of other building equipment and services. The impact of this development on energy demand are wide-ranging and could take on considerable dimensions. Inside the house, the induced increase in energy demand is probably far more significant than the quantity of energy saved by more efficient control. It is estimated that electricity demand in the private households sector will increase by a maximum of 1.3% per annum over the next two decades. Even if this Internet-induced increase should only be half as fast, the interconnection of equipment and services would still be the most important driver of electricity demand in the household sector. The most promising measure to slow down this increase consists in minimising the electricity consumption of components and equipment in standby and off modes, We recommend an internationally co-ordinated procedure supported by national information and education campaigns. (author)

  3. Electricity consumption in holiday cottages. Projections and scenarios; Elforbrug i sommerhuse. Fremskrivning og scenarier

    Energy Technology Data Exchange (ETDEWEB)

    Andersen, Frits M.; Christensen, Morten; Jensen, Ole Michael; Kofoed, N.U.; Morthorst, P.E.

    2006-07-01

    Relative to the amount of electricity consumed by households, the consumption in holiday cottages is minor. In Denmark however, the past development in electricity consumption in holiday cottages differs significantly from the general trend in household electricity consumption. While the electricity consumption per household has been almost constant since the 1990s, the consumption per holiday cottage has increased 40 %. In addition, many new holiday cottages have been built and since 1990 the total electricity consumption has increased by 55 %. To find the reason for the increasing electricity consumption and to estimate the future demand of electricity for holiday cottages, a multidisciplinary study combining top-down and bottom-up estimations was carried out. In the top-town estimation, econometrics on aggregated data and general past trends analyses were combined. Dealing with statistics of time-series for the total electricity consumption in a number of holiday cottages, it was possible to interpret the past trends and to extrapolate the actual consumption for the year 2005 to the annual consumption in 2015. (BA)

  4. Does electricity consumption panel Granger cause GDP? A new global evidence

    Energy Technology Data Exchange (ETDEWEB)

    Narayan, Paresh Kumar [School of Accounting, Economics and Finance, Faculty of Business and Economics, Deakin University, Melbourne (Australia); Narayan, Seema [School of Economics, Finance, and Marketing, RMIT University, Melbourne (Australia); Popp, Stephan [Department of Economics, University of Duisburg-Essen (Germany)

    2010-10-15

    The goal of this paper is to undertake a panel data investigation of long-run Granger causality between electricity consumption and real GDP for seven panels, which together consist of 93 countries. We use a new panel causality test and find that in the long-run both electricity consumption and real GDP have a bidirectional Granger causality relationship except for the Middle East where causality runs only from GDP to electricity consumption. Finally, for the G6 panel the estimates reveal a negative sign effect, implying that increasing electricity consumption in the six most industrialised nations will reduce GDP. (author)

  5. DYNAMIC MODEL “ELECTRICITY CONSUMPTION - GDP” FOR REPUBLIC OF MOLDOVA

    Directory of Open Access Journals (Sweden)

    Sit B.M.

    2007-04-01

    Full Text Available The article is devoted to the development of econometric models of electricity consumption in Republic of Moldova with the purpose of definition of potential possibilities of GPD influence on electricity consumption processes.In this paper, we examine the causal relationship between the per capita electricity consumption and the per capita GDP for Republic of Moldova using VAR model. Our results show that there is bidirectional causality from per capita GDP to per capita electricity consumption and vice versa. The finding has significant implications from the point of view of energy conservation, emission reduction and economic development.

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

    International Nuclear Information System (INIS)

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

    2005-01-01

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

  7. 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)

  8. The relationship between GDP and electricity consumption in 10 Asian countries

    International Nuclear Information System (INIS)

    Chen, S.-T.; Kuo, H.-I; Chen, C.-C.

    2007-01-01

    The purpose of this study is to estimate the relationships between GDP and electricity consumption in 10 newly industrializing and developing Asian countries using both single data sets and panel data procedures. The empirical results from single data set indicate that the causality directions in the 10 Asian countries are mixed while there is a uni-directional short-run causality running from economic growth to electricity consumption and a bi-directional long-run causality between electricity consumption and economic growth if the panel data procedure is implemented. These empirical findings imply that electricity conservation policies through both rationalizing the electricity supply efficiency improvement to avoid the wastage of electricity and managing demand side to reduce the electricity consumption without affecting the end-user benefits could be initiated without adverse effect on economic growth. The findings on the long-run relationship indicate that a sufficiently large supply of electricity can ensure that a higher level of economic growth

  9. An analysis of the impact of Renewable Portfolio Standards on residential electricity prices

    Science.gov (United States)

    Larson, Andrew James

    A Renewable Portfolio Standard (RPS) has become a popular policy for states seeking to increase the amount of renewable energy generated for consumers of electricity. The success of these state programs has prompted debate about the viability of a national RPS. The impact that these state level policies have had on the price consumers pay for electricity is the subject of some debate. Several federal organizations have conducted studies of the impact that a national RPS would have on electricity prices paid by consumers. NREL and US EIA utilize models that analyze the inputs in electricity generation to examine the future price impact of changes to electricity generation and show marginal increases in prices paid by end users. Other empirical research has produced similar results, showing that the existence of an RPS increases the price of electricity. These studies miss important aspects of RPS policies that may change how we view these price increases from RPS policies. By examining the previous empirical research on RPS policies, this study seeks to identify the controls necessary to build an effective model. These controls are utilized in a fixed effects model that seeks to show how the controls and variables of interest impact electricity prices paid by residential consumers of electricity. This study utilizes a panel data set from 1990 to 2014 to analyze the impact of these policies controlling for generating capacity, the regulatory status of utilities in each state, demographic characteristics of the states, and fuel prices. The results of the regressions indicate that prices are likely to be higher in states that have an RPS compared to states that do not have such a policy. Several of the characteristics mentioned above have price impacts, and so discussing RPS policies in the context of other factors that contribute to electricity prices is essential. In particular, the regulatory status of utilities in each state is an important determinate of price as

  10. Electric Power Consumption Coefficients for U.S. Industries: Regional Estimation and Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Boero, Riccardo [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2017-07-21

    Economic activity relies on electric power provided by electrical generation, transmission, and distribution systems. This paper presents a method developed at Los Alamos National Laboratory to estimate electric power consumption by different industries in the United States. Results are validated through comparisons with existing literature and benchmarking data sources. We also discuss the limitations and applications of the presented method, such as estimating indirect electric power consumption and assessing the economic impact of power outages based on input-output economic models.

  11. Long term forecasting of hourly electricity consumption in local areas in Denmark

    DEFF Research Database (Denmark)

    Møller Andersen, Frits; Larsen, Helge V.; Gaardestrup, R.B.

    2013-01-01

    . The model describes the entire profile of hourly consumption and is a first step towards differentiated local predictions of electricity consumption.The model is based on metering of aggregated hourly consumption at transformer stations covering selected local areas and on national statistics of hourly......Long term projections of hourly electricity consumption in local areas are important for planning of the transmission grid. In Denmark, at present the method used for grid planning is based on statistical analysis of the hour of maximum load and for each local area the maximum load is projected...... to change proportional to changes in the aggregated national electricity consumption. That is, specific local conditions are not considered. Yet, from measurements of local consumption we know that:. •consumption profiles differ between local areas,•consumption by categories of customers contribute...

  12. The causal relationship between electricity consumption and economic growth in the ASEAN countries

    International Nuclear Information System (INIS)

    Yoo, S.-H.

    2006-01-01

    This paper investigates the causal relationship between electricity consumption and economic growth among the Association of South East Asian Nations (ASEAN) 4 members, namely Indonesia, Malaysia, Singapore, and Thailand, using modern time-series techniques for the period 1971-2002. The results indicate that there is a bi-directional causality between electricity consumption and economic growth in Malaysia and Singapore. This means that an increase in electricity consumption directly affects economic growth and that economic growth also stimulates further electricity consumption in the two countries. However, uni-directional causality runs from economic growth to electricity consumption in Indonesia and Thailand without any feedback effect. Thus, electricity conservation policies can be initiated without deteriorating economic side effects in the two countries

  13. Environmental determinants of unscheduled residential outages in the electrical power distribution of Phoenix, Arizona

    International Nuclear Information System (INIS)

    Maliszewski, Paul J.; Larson, Elisabeth K.; Perrings, Charles

    2012-01-01

    The sustainability of power infrastructures depends on their reliability. One test of the reliability of an infrastructure is its ability to function reliably in extreme environmental conditions. Effective planning for reliable electrical systems requires knowledge of unscheduled outage sources, including environmental and social factors. Despite many studies on the vulnerability of infrastructure systems, the effect of interacting environmental and infrastructural conditions on the reliability of urban residential power distribution remains an understudied problem. We model electric interruptions using outage data between the years of 2002 and 2005 across Phoenix, Arizona. Consistent with perceptions of increased exposure, overhead power lines positively correlate with unscheduled outages indicating underground cables are more resistant to failure. In the presence of overhead lines, the interaction between birds and vegetation as well as proximity to nearest desert areas and lakes are positive driving factors explaining much of the variation in unscheduled outages. Closeness to the nearest arterial road and the interaction between housing square footage and temperature are also significantly positive. A spatial error model was found to provide the best fit to the data. Resultant findings are useful for understanding and improving electrical infrastructure reliability. - Highlights: ► Unscheduled outages were related to interacting environmental and infrastructural conditions. ► Underground feeders are more resistant to failure. ► In the presence of overhead lines, birds, vegetation, and proximity to desert areas are positive driving factors. ► Proximity to arterial roads and a proxy for energy demand were significantly positive. ► Outages were most spatially dependent up to around 350 m.

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

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-03-01

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

  15. Interactive effects of reward sensitivity and residential fast-food restaurant exposure on fast-food consumption.

    Science.gov (United States)

    Paquet, Catherine; Daniel, Mark; Knäuper, Bärbel; Gauvin, Lise; Kestens, Yan; Dubé, Laurette

    2010-03-01

    Local fast-food environments have been increasingly linked to obesity and related outcomes. Individuals who are more sensitive to reward-related cues might be more responsive to such environments. This study aimed to assess the moderating role of sensitivity to reward on the relation between residential fast-food restaurant exposure and fast-food consumption. Four hundred fifteen individuals (49.6% men; mean age: 34.7 y) were sampled from 7 Montreal census tracts stratified by socioeconomic status and French/English language. The frequency of fast-food restaurant visits in the previous week was self-reported. Sensitivity to reward was self-reported by using the Behavioral Activation System (BAS) scale. Fast-food restaurant exposure within 500 m of the participants' residence was determined by using a Geographic Information System. Main and interactive effects of the BAS and fast-food restaurant exposure on fast-food consumption were tested with logistic regression models that accounted for clustering of observations and participants' age, sex, education, and household income. Regression results showed a significant interaction between BAS and fast-food restaurant exposure (P food restaurant exposure and consumption was positive for the highest tertile (odds ratio: 1.49; 95% CI: 1.20, 1.84; P < 0.001) but null for the intermediate (odds ratio: 1.03; 95% CI: 0.80, 1.34; P = 0.81) and lowest (odds ratio: 0.84; 95% CI: 0.51, 1.37; P = 0.49) tertiles. Reward-sensitive individuals may be more responsive to unhealthful cues in their immediate environment.

  16. Scaling Law between Urban Electrical Consumption and Population in China

    Science.gov (United States)

    Zhu, Xiaowu; Xiong, Aimin; Li, Liangsheng; Liu, Maoxin; Chen, X. S.

    The relation between the household electrical consumption Y and population N for Chinese cities in 2006 has been investigated with the power law scaling form Y = A_0 N^{β}. It is found that the Chinese cities should be divided into three categories characterized by different scaling exponent β. The first category, which includes the biggest and coastal cities of China, has the scaling exponent β> 1. The second category, which includes mostly the cities in central China, has the scaling exponent β ≈ 1. The third category, which consists of the cities in northwestern China, has the scaling exponent β 1, there is also a fixed point population N f . If the initial population N(0) > N f , the population increases very fast with time and diverges within a finite time. If the initial population N(0) < N f , the population decreases with time and collapse finally. The pattern of population evolution in a city is determined by its scaling exponent and initial population.

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

    Science.gov (United States)

    Macsleyne, Amelia Chadbourne Carus

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

  18. 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. Integrated Management of Residential Energy Resources

    Directory of Open Access Journals (Sweden)

    Antunes C. H.

    2012-10-01

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

  20. 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.

  1. An Improved Artificial Colony Algorithm Model for Forecasting Chinese Electricity Consumption and Analyzing Effect Mechanism

    Directory of Open Access Journals (Sweden)

    Jingmin Wang

    2016-01-01

    Full Text Available Electricity consumption forecast is perceived to be a growing hot topic in such a situation that China’s economy has entered a period of new normal and the demand of electric power has slowed down. Therefore, exploring Chinese electricity consumption influence mechanism and forecasting electricity consumption are crucial to formulate electrical energy plan scientifically and guarantee the sustainable economic and social development. Research has identified medium and long term electricity consumption forecast as a difficult study influenced by various factors. This paper proposed an improved Artificial Bee Colony (ABC algorithm which combined with multivariate linear regression (MLR for exploring the influencing mechanism of various factors on Chinese electricity consumption and forecasting electricity consumption in the future. The results indicated that the improved ABC algorithm in view of the various factors is superior to traditional models just considering unilateralism in accuracy and persuasion. The overall findings cast light on this model which provides a new scientific and effective way to forecast the medium and long term electricity consumption.

  2. Analysis of electric energy consumption of automatic milking systems in different configurations and operative conditions.

    Science.gov (United States)

    Calcante, Aldo; Tangorra, Francesco M; Oberti, Roberto

    2016-05-01

    Automatic milking systems (AMS) have been a revolutionary innovation in dairy cow farming. Currently, more than 10,000 dairy cow farms worldwide use AMS to milk their cows. Electric consumption is one of the most relevant and uncontrollable operational cost of AMS, ranging between 35 and 40% of their total annual operational costs. The aim of the present study was to measure and analyze the electric energy consumption of 4 AMS with different configurations: single box, central unit featuring a central vacuum system for 1 cow unit and for 2 cow units. The electrical consumption (daily consumption, daily consumption per cow milked, consumption per milking, and consumption per 100L of milk) of each AMS (milking unit + air compressor) was measured using 2 energy analyzers. The measurement period lasted 24h with a sampling frequency of 0.2Hz. The daily total energy consumption (milking unit + air compressor) ranged between 45.4 and 81.3 kWh; the consumption per cow milked ranged between 0.59 and 0.99 kWh; the consumption per milking ranged between 0.21 and 0.33 kWh; and the consumption per 100L of milk ranged between 1.80 to 2.44 kWh according to the different configurations and operational contexts considered. Results showed that AMS electric consumption was mainly conditioned by farm management rather than machine characteristics/architectures. Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  3. A re-examination of the relationship between electricity consumption and economic growth in Malaysia

    International Nuclear Information System (INIS)

    Tang, Chor Foon

    2008-01-01

    The purpose of this study is to re-investigate the relationship between electricity consumption and economic growth in Malaysia from 1972:1 to 2003:4. This study adopted the newly developed ECM-based F-test [Kanioura, A., Turner, P., 2005. Critical values for an F-test for cointegration in the multivariate model. Applied Economics 37(3), 265-270] for cointegration to examine the presence of long run equilibrium relationship through the autoregressive distributed lag (ARDL) model. The empirical evidence suggests that electricity consumption and economic growth are not cointegrated in Malaysia. However, the standard Granger's test and MWALD test suggest that electricity consumption and economic growth in Malaysia Granger causes each other. This finding provides policymakers with a better understanding of electricity consumption and allows them to formulate electricity consumption policy to support the economic development and to enhance the productivity of capital, labour and other factors of production for future economic growth in Malaysia

  4. Development of an Energy-Savings Calculation Methodology for Residential Miscellaneous Electric Loads: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Hendron, R.; Eastment, M.

    2006-08-01

    In order to meet whole-house energy savings targets beyond 50% in residential buildings, it will be essential that new technologies and systems approaches be developed to address miscellaneous electric loads (MELs). These MELs are comprised of the small and diverse collection of energy-consuming devices found in homes, including what are commonly known as plug loads (televisions, stereos, microwaves), along with all hard-wired loads that do not fit into other major end-use categories (doorbells, security systems, garage door openers). MELs present special challenges because their purchase and operation are largely under the control of the occupants. If no steps are taken to address MELs, they can constitute 40-50% of the remaining source energy use in homes that achieve 60-70% whole-house energy savings, and this percentage is likely to increase in the future as home electronics become even more sophisticated and their use becomes more widespread. Building America (BA), a U.S. Department of Energy research program that targets 50% energy savings by 2015 and 90% savings by 2025, has begun to identify and develop advanced solutions that can reduce MELs.

  5. Impact of roof integrated PV orientation on the residential electricity peak demand

    International Nuclear Information System (INIS)

    Sadineni, Suresh B.; Atallah, Fady; Boehm, Robert F.

    2012-01-01

    Highlights: ► A study to demonstrate peak load reductions at the substation. ► A new residential energy efficient community named Villa Trieste is being developed. ► The peak demand from the homes has decreased by 38% through energy efficiency. ► Orientation of roof integrated PV has less influence on the summer peak demand. ► Increasing thermostat temperature during peak by 1 °C can significantly reduce peaks. -- Abstract: Peak electricity demand has been an issue in the Desert Southwest region of the US, due to extreme summer temperatures. To address this issue, a consortium was formed between the University of Nevada, Las Vegas, Pulte Homes, and NV Energy. An energy efficient residential community was developed by the team in Las Vegas with approximately 200 homes to study substation-level peak reduction strategies. A summer peak reduction of more than 65%, between 1:00 PM and 7:00 PM, compared to code standard housing developments is the targeted goal of the project. Approximately 50 homes are already built and some are occupied. The energy performances of the homes have been monitored and are presented in this paper. Several peak electric load reduction strategies such as energy efficiency in buildings, roof integrated photovoltaics (PV) and direct load control have been applied. Though all the homes in the developed community are installed with 1.8 kW p PV systems, the orientation of the PV system depends on the building orientation. Focus of this paper is to find the impact of PV orientation on the peak load from a building. In addition, different time-of-use (TOU) energy pricing options are offered by the local electrical utility company. Hence it is important to find an optimal pricing option for each building. A computer model has been developed for one of the homes in the new development using building energy simulation code, ENERGY-10. Calculations on the PV orientations have shown that a south and 220° (i.e. 40° west of due south

  6. Rationalization of the electric power consumption by recycling of residential solid wastes from the formal and informal collection at the Campinas city, Sao Paulo, Brazil; Racionalizacao do consumo de energia eletrica com a reciclagem dos residuos solidos domiciliares provenientes da coleta formal e informal no municipio de Campinas - SP

    Energy Technology Data Exchange (ETDEWEB)

    Streb, Cleci Schalemberger; Piunti, Regina Celia; Silva, Ennio Peres da; Barbosa, Sonia [Universidade Estadual de Campinas, SP (Brazil). Faculdade de Engenharia Mecanica. Programa de Planejamento de Sistemas Energeticos]. E-mail: streb@fem.unicamp.br

    2002-07-01

    This paper evaluates the potential of residues collection in Campinas, SP, Brazil, taking into account the data of informal collection. The paper also estimates the role played by paper, glass, plastic and aluminium recycling, in terms of electric power use avoiding or saving.

  7. The effect of feedback by SMS-text messages and email on household electricity consumption

    DEFF Research Database (Denmark)

    Gleerup, Maria; Larsen, Anders; Leth-Petersen, Søren

    2010-01-01

    This paper analyzes the effect of supplying feedback by text messages (SMS) and email about electricity consumption on the level of total household electricity consumption. An experiment was conducted in which 1,452 households were randomly allocated to three experimental groups and two control....... Results suggest that email and SMS messaging that communicated timely information about a household's 'exceptional' consumption periods (e.g. highest week of electricity use in past quarter) produced average reductions in total annual electricity use of about 3%. The feedback technology is cheap...

  8. Estimating the global public health implications of electricity and coal consumption.

    Science.gov (United States)

    Gohlke, Julia M; Thomas, Reuben; Woodward, Alistair; Campbell-Lendrum, Diarmid; Prüss-Üstün, Annette; Hales, Simon; Portier, Christopher J

    2011-06-01

    The growing health risks associated with greenhouse gas emissions highlight the need for new energy policies that emphasize efficiency and low-carbon energy intensity. We assessed the relationships among electricity use, coal consumption, and health outcomes. Using time-series data sets from 41 countries with varying development trajectories between 1965 and 2005, we developed an autoregressive model of life expectancy (LE) and infant mortality (IM) based on electricity consumption, coal consumption, and previous year's LE or IM. Prediction of health impacts from the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) integrated air pollution emissions health impact model for coal-fired power plants was compared with the time-series model results. The time-series model predicted that increased electricity consumption was associated with reduced IM for countries that started with relatively high IM (> 100/1,000 live births) and low LE (electricity consumption regardless of IM and LE in 1965. Increasing coal consumption was associated with increased IM and reduced LE after accounting for electricity consumption. These results are consistent with results based on the GAINS model and previously published estimates of disease burdens attributable to energy-related environmental factors, including indoor and outdoor air pollution and water and sanitation. Increased electricity consumption in countries with IM consumption has significant detrimental health impacts.

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

    DEFF Research Database (Denmark)

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

    2016-01-01

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

  10. Projecting the Water and Electric Consumption of Polytechnic University of the Philippines

    Science.gov (United States)

    Urrutia, Jackie D.; Mercado, Joseph; Bautista, Lincoln A.; Baccay, Edcon B.

    2017-03-01

    This study investigates water and electric consumption in Polytechnic University of the Philippines - Sta. Mesa using a time series analysis. The researchers analyzed the water and electric usage separately. Electric consumption was examined in terms of pesos and kilowatt-hour, while water consumption was analyzed in pesos and cubic meter. The data are gathered from the university limited only from January 2009 to July 2015 in a monthly based record. The aim is to forecast the water and electric usage of the university for the years 2016 and 2017. There are two main statistical treatments that the researchers conducted to be able to formulate mathematical models that can estimate the water and electric consumption of the said school. Using Seasonal Autoregressive Integrated Moving Average (SARIMA), electric usage was forecasted in peso and kilowatt-hour, and water usage in peso and cubic meter. Moreover, the predicted values of the consumptions are compared to the actual values using Paired T-test to examine whether there is a significant difference. Forecasting accurately the water and electric consumption would be helpful to manage the budget allotted for the water and electric consumption of PUP - Sta. Mesa for the next two years.

  11. Modelling the Load Curve of Aggregate Electricity Consumption Using Principal Components

    OpenAIRE

    Matteo Manera; Angelo Marzullo

    2003-01-01

    Since oil is a non-renewable resource with a high environmental impact, and its most common use is to produce combustibles for electricity, reliable methods for modelling electricity consumption can contribute to a more rational employment of this hydrocarbon fuel. In this paper we apply the Principal Components (PC) method to modelling the load curves of Italy, France and Greece on hourly data of aggregate electricity consumption. The empirical results obtained with the PC approach are compa...

  12. Electricity Consumption Forecasting Scheme via Improved LSSVM with Maximum Correntropy Criterion

    OpenAIRE

    Jiandong Duan; Xinyu Qiu; Wentao Ma; Xuan Tian; Di Shang

    2018-01-01

    In recent years, with the deepening of China’s electricity sales side reform and electricity market opening up gradually, the forecasting of electricity consumption (FoEC) becomes an extremely important technique for the electricity market. At present, how to forecast the electricity accurately and make an evaluation of results scientifically are still key research topics. In this paper, we propose a novel prediction scheme based on the least-square support vector machine (LSSVM) model with a...

  13. 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

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

    International Nuclear Information System (INIS)

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

    2013-01-01

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

  15. Did the electric power consumption in Norway really go down?

    International Nuclear Information System (INIS)

    2003-01-01

    Information about how the high prices in the Nordic power market have affected the power consumption in the North is important for the assessment of the ability of the power market to deal with shortage situations. The market has reacted less than expected, and some of the reduction of consumption is due to other factors than high prices. Energy intensive industry has cut its power consumption considerably, but some of this reduction is due to decline in economic activity. In the boiler market there has also been a strong reduction, but not as much as had been expected. Consumption has gone down in general, but with a considerable lag.

  16. The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review

    Directory of Open Access Journals (Sweden)

    Elisha R. Frederiks

    2015-01-01

    Full Text Available This article provides a comprehensive review of theory and research on the individual-level predictors of household energy usage. Drawing on literature from across the social sciences, we examine two broad categories of variables that have been identified as potentially important for explaining variability in energy consumption and conservation: socio-demographic factors (e.g., income, employment status, dwelling type/size, home ownership, household size, stage of family life cycle and psychological factors (e.g., beliefs and attitudes, motives and intentions, perceived behavioral control, cost-benefit appraisals, personal and social norms. Despite an expanding literature, we find that empirical evidence of the impact of these variables has been far from consistent and conclusive to date. Such inconsistency poses challenges for drawing generalizable conclusions, and underscores the complexity of consumer behavior in this domain. In this article, we propose that a multitude of factors—whether directly, indirectly, or in interaction—influence how householders consume and conserve energy. Theory, research and practice can be greatly advanced by understanding what these factors are, and how, when, where, why and for whom they operate. We conclude by outlining some important practical implications for policymakers and directions for future research.

  17. The consumptive water footprint of electricity and heat: a global assessment

    NARCIS (Netherlands)

    Mekonnen, Mesfin; Gerbens-Leenes, Winnie; Hoekstra, Arjen Ysbert

    2015-01-01

    Water is essential for electricity and heat production. This study assesses the consumptive water footprint (WF) of electricity and heat generation per world region in the three main stages of the production chain, i.e. fuel supply, construction and operation. We consider electricity from power

  18. Residential consumers in the Cape Peninsula's willingness to pay for premium priced green electricity

    Energy Technology Data Exchange (ETDEWEB)

    Oliver, Henry; Volschenk, Jako; Smit, Eon [University of Stellenbosch Business School, Carl Cronje Drive, Bellville, Western Cape 7535 (South Africa)

    2011-02-15

    A number of studies have explored the willingness (i.e. stated willingness as opposed to actual willingness) of consumers to pay a premium for green electricity in developed countries. However, little is known about how this translates into an emerging economy context. This study investigates the level of willingness of residential households in South Africa's Cape Peninsula to pay a premium for electricity from renewable energy. It methodologically drew on recent contributions in the literature on norm-motivated behaviour used to identify testable factors that could influence residential consumers' willingness to pay (WTP). Interestingly, the study found a significant positive link between household income and WTP for green electricity, contrary to the findings of some previous studies. Not only are higher income households more likely to pay a premium, but typically they are also willing to pay a bigger premium. It was also further established that the view that green electricity is reliable, involvement in the recycling of waste and the belief that everyone should contribute to green electricity generation drive the WTP. (author)

  19. 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

  20. Change in consumer sensitivity to electricity prices in response to retail deregulation: A panel empirical analysis of the residential demand for electricity in the United States

    International Nuclear Information System (INIS)

    Nakajima, Tadahiro; Hamori, Shigeyuki

    2010-01-01

    About ten years have passed since the deregulation of the U.S. retail electricity market, and it is now generally accepted that the available data is adequate to quantitatively assess and compare conditions before and after deregulation. This study, therefore, estimates the changes in price elasticity in the residential electricity market to examine the changes, if any, in household sensitivity (as a result of retail electricity market deregulation policies) to residential electricity rates. Specifically, six types of panel data are prepared, based on three cross-sections-all states (except for Alaska and Hawaii) and the District of Columbia, deregulated states, and non-deregulated states-and two time series-the period before deregulation and the period after deregulation. The panel empirical analysis techniques are used to determine whether or not the variables are stationary, and to estimate price elasticity. We find that there is no substantial difference in the price elasticity between deregulated and non-deregulated states for both periods-before deregulation and after deregulation. Thus, it can be said that the deregulation of the retail electricity market has not made consumers more sensitive to electricity rates and that retail deregulation policies are not the cause of price elasticity differences between deregulated and non-deregulated states.

  1. Change in consumer sensitivity to electricity prices in response to retail deregulation. A panel empirical analysis of the residential demand for electricity in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Nakajima, Tadahiro [The Kansai Electric Power Company, Incorporated, 6-16, Nakanoshima 3-chome, Kita-Ku, Osaka 530-8270 (Japan); Hamori, Shigeyuki [Faculty of Economics, Kobe University 2-1, Rokkodai, Nada-Ku, Kobe 657-8501 (Japan)

    2010-05-15

    About ten years have passed since the deregulation of the U.S. retail electricity market, and it is now generally accepted that the available data is adequate to quantitatively assess and compare conditions before and after deregulation. This study, therefore, estimates the changes in price elasticity in the residential electricity market to examine the changes, if any, in household sensitivity (as a result of retail electricity market deregulation policies) to residential electricity rates. Specifically, six types of panel data are prepared, based on three cross-sections - all states (except for Alaska and Hawaii) and the District of Columbia, deregulated states, and non-deregulated states - and two time series - the period before deregulation and the period after deregulation. The panel empirical analysis techniques are used to determine whether or not the variables are stationary, and to estimate price elasticity. We find that there is no substantial difference in the price elasticity between deregulated and non-deregulated states for both periods - before deregulation and after deregulation. Thus, it can be said that the deregulation of the retail electricity market has not made consumers more sensitive to electricity rates and that retail deregulation policies are not the cause of price elasticity differences between deregulated and non-deregulated states. (author)

  2. Exploring the relationship between agricultural electricity consumption and output: New evidence from Turkish regional data

    International Nuclear Information System (INIS)

    Dogan, Eyup; Sebri, Maamar; Turkekul, Berna

    2016-01-01

    This study investigates the relationship between agricultural electricity consumption and agricultural output for a panel of 12 regions of Turkey for the period 1995–2013. In order to reveal the possible heterogeneity between regions, empirical analyses are conducted for the whole panel data and two sub-groups within the panel data; namely, coastal regions and non-coastal regions. The results from several panel unit root tests indicate that electricity consumption and output are stationary process at their levels for overall panel and the two specific groups. By using the OLS with regional fixed effects, this study finds that coefficient estimate of electricity consumption on output is statistically significant and positive for overall regions, coastal regions and non-coastal regions. In addition, the results from the Dumitrescu-Hurlin Granger causality test show that there is unidirectional causality running from agricultural output to electricity consumption for non-coastal regions, and there is bidirectional causality between agricultural electricity consumption and output for overall panel and coastal regions. Findings and policy implications are further discussed. - Highlights: •This study uses the recently developed Dumitrescu-Hurlin Granger causality test. •There is unidirectional causality running from agricultural output to electricity consumption for non-coastal regions. •Bidirectional causality runs between the analyzed variables for coastal regions. •Electricity consumption increases agricultural output.

  3. Analysis of energy consumption and emission of the heterogeneous traffic flow consisting of traditional vehicles and electric vehicles

    Science.gov (United States)

    Xiao, Hong; Huang, Hai-Jun; Tang, Tie-Qiao

    2017-12-01

    Electric vehicle (EV) has become a potential traffic tool, which has attracted researchers to explore various traffic phenomena caused by EV (e.g. congestion, electricity consumption, etc.). In this paper, we study the energy consumption (including the fuel consumption and the electricity consumption) and emissions of heterogeneous traffic flow (that consists of the traditional vehicle (TV) and EV) under three traffic situations (i.e. uniform flow, shock and rarefaction waves, and a small perturbation) from the perspective of macro traffic flow. The numerical results show that the proportion of electric vehicular flow has great effects on the TV’s fuel consumption and emissions and the EV’s electricity consumption, i.e. the fuel consumption and emissions decrease while the electricity consumption increases with the increase of the proportion of electric vehicular flow. The results can help us better understand the energy consumption and emissions of the heterogeneous traffic flow consisting of TV and EV.

  4. Contribution to performing gas solutions and the complementarity of energies to address electric peak consumptions

    International Nuclear Information System (INIS)

    2015-01-01

    This article aims at outlining the contribution that gas-based solutions may have for the reduction of the seasonal electricity peak consumption. After having recalled the principles related to electricity peak consumption (daily peak in summer and in winter due to the use of various equipment which lasts few hours, seasonal peak in winter due to the use of electric heating which may last several weeks) and the associated evolution of electricity consumptions over the last years, this article describes the main challenges related to the electric peak consumption: how to maintain the balance in real time between production and consumption. In France, the network manager must use, beside nuclear power stations, thermal productions (gas or coal-based) which result in higher CO 2 emissions. Electricity imports from Germany also degrade the French carbon footprint. Thus, the management of daily and seasonal peaks can be based on three levers of action: to act on supply by developing capacities to face the residual peak, to act on demand by smoothing the load curve by controlling the load of electric equipment, or to act on demand by a global reduction of the thermo-sensitive consumption of electricity

  5. Setting up charging electric stations within residential communities in current China: Gaming of government agencies and property management companies

    International Nuclear Information System (INIS)

    Wu, Tian; Ma, Lin; Mao, Zhonggen; Ou, Xunmin

    2015-01-01

    The difficulty of charging electric vehicles (EVs) is now hindering their further development. Governments generally choose to build stations for home charging (including piles) within residential communities. Given the conflict of interest between various government agencies and property management companies, constructing a charging station within residential communities would result in welfare loss for the property management companies and therefore lead to the principal–agent problem. This paper constructs a two-period imperfect information game theory model to study the moral hazard involved in this issue and government agencies' optimal choice. In the analytic solution of the model, we find that the optimal choice for a farsighted government agency is to constantly improve the incentive mechanism and introduce charging stations only when the conflict of interest is eliminated. Any benefits derived from government regulations by force would prove short-lived. The government should focus on long-term returns in the development of EVs, and its optimal mechanism should be designed to mitigate the principal–agent problem of property management companies, thereby accelerate the progress of EV charging infrastructure and improve overall social welfare. - Highlights: • The charging of electric vehicles (EVs) is hindering their use. • A game theory model is used for analysis of EV charging station construction. • Charging stations are in residential communities in China. • Government agencies are constantly improving incentive mechanisms

  6. Electric Industry Restructuring in Ohio: Residential and Low Income Customer Impacts; TOPICAL

    International Nuclear Information System (INIS)

    Eisenberg, J

    2001-01-01

    This report analyzes the electric utilities in Ohio in order to determine how they are situated for the coming of competition. It begins with the status of the utilities as of 1995, the last year for which detailed data were available, and determines the detailed underlying cost structure behind the rates charged to customers. The study then develops a number of restructuring scenarios to be analyzed. These scenarios cover different approaches to dividing stranded asset costs between customers and stockholders, and between different groups of customers. They also cover wholesale versus retail competition, different regulatory structures for those services still under regulation, and new approaches to stranded asset costs such as securitization--the use of special bonds to reduce costs. Throughout the report the special emphasis is on the impact of restructuring on low-income residential customers. Low-income customers are the most vulnerable to changes in the regulatory structure with the fewest alternative options. The report finds that there are a great deal of above-market cost, potentially stranded assets in Ohio--approximately$8.75 billion in 1995. The annual above-market costs total over$3 billion, of which about 2/3 is recovery of capital related costs and 1/3 is recovery of energy related costs. The distribution of stranded assets in Ohio is very uneven. Some utilities such as Cleveland Electric and Ohio Edison have very high levels of above-market costs. In contrast, Ohio Power has, under some estimates, costs which are actually below market costs. The study looks separately at the near-term or transition period (approximately the next seven to ten years) and the longer term competitive market period. During the transition period the costs of stranded assets are being collected from customers while competitive markets are being developed. In the longer term market period it is assumed that all of the stranded asset costs have been collected and that the

  7. SYSTEM FOR AUTOMATIC SELECTION OF THE SPEED RATE OF ELECTRIC VEHICLES FOR REDUCING THE POWER CONSUMPTION

    Directory of Open Access Journals (Sweden)

    K. O. Soroka

    2017-06-01

    Full Text Available Purpose. The work is aimed to design a system for automatic selection of the optimal traffic modes and automatic monitoring of the electric energy consumption by electric transport. This automatic system should provide for the minimum energy expenses. Methodology. Current methodologies: 1 mathematical modeling of traffic modes of ground electric vehicles; 2 comparison of modelling results with the statistical monitoring; 3 system development for automatic choice of traffic modes of electric transport with minimal electrical energy consumptions taking into account the given route schedules and the limitations imposed by the general traffic rules. Findings. The authors obtained a mathematical dependency of the energy consumption by electric transport enterprises on the monthly averaged environment temperature was obtained. A system which allows for an automatic selection of the speed limit and provides automatic monitoring of the electrical energy consumption by electric vehicles was proposed in the form of local network, which works together with existing GPS system. Originality. A mathematical model for calculating the motion curves and energy consumption of electric vehicles has been developed. This model takes into account the characteristic values of the motor engine and the steering system, the change of the mass when loading or unloading passengers, the slopes and radii of the roads, the limitations given by the general traffic rules, and other factors. The dependency of the energy consumption on the averaged monthly environment temperature for public electric transport companies has been calculated. Practical value. The developed mathematical model simplifies the calculations of the traffic dynamics and energy consumption. It can be used for calculating the routing maps, for design and upgrade of the power networks, for development of the electricity saving measures. The system simplifies the work of the vehicle driver and allows reducing

  8. Annual electricity consumption analysis and forecasting of China based on few observations methods

    International Nuclear Information System (INIS)

    Meng Ming; Niu Dongxiao

    2011-01-01

    The annual electricity consumption analysis and forecasting of China is one of the important bases of management decision making for power generation groups as well as power policy adjusting for government. The socioeconomic actuality could not offer adequate observations with perfect statistic characters. The partial least squares method is applied to get a linear equation. It could quantificational simulate the relationship between the electricity consumption and its factors. The variables importance analysis method is further adopted to distinguish the explanatory power of all relative factors. The foremost importance of production and consumption in rural area shows that the development of this area should account more for the increasing of electricity consumption. The less explanatory power of the gross domestic product of tertiary industry means the gigantic potential in electricity consumption for the future several years. At last, it calculates the contributions of observations. The results show that the unusual development of real estate and relative industry has affected the usual electricity consumption mode. With the clear away of price bubble in real estate, the increasing speed of electricity consumption will slow down in the recent years.

  9. Annual electricity consumption analysis and forecasting of China based on few observations methods

    Energy Technology Data Exchange (ETDEWEB)

    Meng, Ming; Niu, Dongxiao [School of Business Administration, North China Electric Power University, 071003 Baoding (China)

    2011-02-15

    The annual electricity consumption analysis and forecasting of China is one of the important bases of management decision making for power generation groups as well as power policy adjusting for government. The socioeconomic actuality could not offer adequate observations with perfect statistic characters. The partial least squares method is applied to get a linear equation. It could quantificational simulate the relationship between the electricity consumption and its factors. The variables importance analysis method is further adopted to distinguish the explanatory power of all relative factors. The foremost importance of production and consumption in rural area shows that the development of this area should account more for the increasing of electricity consumption. The less explanatory power of the gross domestic product of tertiary industry means the gigantic potential in electricity consumption for the future several years. At last, it calculates the contributions of observations. The results show that the unusual development of real estate and relative industry has affected the usual electricity consumption mode. With the clear away of price bubble in real estate, the increasing speed of electricity consumption will slow down in the recent years. (author)

  10. Annual electricity consumption analysis and forecasting of China based on few observations methods

    Energy Technology Data Exchange (ETDEWEB)

    Meng Ming, E-mail: ncepumm@126.co [School of Business Administration, North China Electric Power University, 071003 Baoding (China); Niu Dongxiao [School of Business Administration, North China Electric Power University, 071003 Baoding (China)

    2011-02-15

    The annual electricity consumption analysis and forecasting of China is one of the important bases of management decision making for power generation groups as well as power policy adjusting for government. The socioeconomic actuality could not offer adequate observations with perfect statistic characters. The partial least squares method is applied to get a linear equation. It could quantificational simulate the relationship between the electricity consumption and its factors. The variables importance analysis method is further adopted to distinguish the explanatory power of all relative factors. The foremost importance of production and consumption in rural area shows that the development of this area should account more for the increasing of electricity consumption. The less explanatory power of the gross domestic product of tertiary industry means the gigantic potential in electricity consumption for the future several years. At last, it calculates the contributions of observations. The results show that the unusual development of real estate and relative industry has affected the usual electricity consumption mode. With the clear away of price bubble in real estate, the increasing speed of electricity consumption will slow down in the recent years.

  11. The co-integration analysis of factors affecting electricity consumption : a case study of Thailand

    Energy Technology Data Exchange (ETDEWEB)

    Kongruang, C. [Thaksin Univ., Songkhla (Thailand). Faculty of Economics and Business; Waewsak, J. [Thaksin Univ., Phatthalung (Thailand). Dept. of Physics, Solar and Wind Energy Research Lab

    2008-07-01

    A study was conducted in which the main determinants of electricity demand in Thailand were investigated. Time-series analysis methods were used, notably the unit root test, the Johansen co-integration test and an error correction model (ECM). The objective was to determine the factors affecting short and long-run electricity consumption. This paper presented annual time series data from 1971 to 2006. The unit root test revealed that all series are non-stationary. The Johansen co-integration test revealed the co-integration between variables and the existence of the long-term relationship between them. Electricity consumption accelerated with the increase in gross domestic product (GDP) and population. In contrast, an increase in commodity price would reduce electricity consumption. The coefficient of population indicated that an increase of 1 million in total population would result in an increase in electricity consumption of 0.099 per cent. Last, the results of ECM revealed that nearly 21 per cent of long-term disequilibrium is adjusted to the current period. The factors that affect electricity consumption include GDP growth, inflation rate and population growth. It was concluded that Thailand should prepare for additional power generation from clean energy sources such as solar, biomass and wind energy. Thailand's Energy Policy and Planning Office revealed that electricity consumption in 2008 would be over 130,000 GWh with per capita consumption at nearly 2,000 kWh. The power peak demand will be nearly 24,000 MW in 2008. This result was based on the forecasting model that considered only GDP growth. However, electricity consumption depends not only on the GDP growth, but also upon the other key variables such as population, electricity selling price, consumer price index and temperature. 17 refs., 5 tabs., 4 figs.

  12. Electricity demand and energy consumption in horticulture and conclusions bearing on energy economy. AEL-Bericht

    Energy Technology Data Exchange (ETDEWEB)

    1980-01-01

    The studies demonstrate that horticultural entreprises, esp. those with a higher electricity consumption, have often not settled for a more favourable electricity tariff. Nor do they use cheaper electricity at slack periods (night current) to the extent possible. Substantial improvement could be obtained above all by fully utilizing the installed capacity through purposeful utilization of machinery and interlocking of major consumers. Measures appropriate to this end are listed allowing a possible economic utilization of electric energy.

  13. Consumption of electricity in Punjab: Structure and growth

    International Nuclear Information System (INIS)

    Bhargava, Nisha; Singh, Baldev; Gupta, Shakuntla

    2009-01-01

    Electricity has played a pivotal role in the development of Punjab economy. Of late there has been a steep rise in the demand for electricity in the state. The present study undertakes a holistic view of growth of demand for electricity in the state. The technique applied is multiple regression and secondary data is used for the purpose of analysis. The study concludes that demand for electricity in the state is price inelastic but income elastic for majority of consuming sectors. An important policy implication thereof is that price hike will be ineffective in regulating and managing demand unless price is varied in an hourly basis. Therefore, the state has to resort to other demand-side management (DSM) measures, such as improving efficiency of electricity use and its conservation. Considering the high income elasticity of electricity demand, sufficient electricity-generating capacity needs to be created, since demand is expected to grow at an accelerated rate in future. This calls for a comprehensive electricity policy. The study further concludes that in the long run, price-demand as well as income-demand relationship in case of electricity is likely to remain uncertain especially in the post-reform era.

  14. Consumption of electricity in Punjab. Structure and growth

    Energy Technology Data Exchange (ETDEWEB)

    Bhargava, Nisha; Singh, Baldev [Department of Economics, DAV College Hoshiarpur, Punjab (India); Gupta, Shakuntla [Department of Economics, Punjabi University Patiala, Punjab (India)

    2009-06-15

    Electricity has played a pivotal role in the development of Punjab economy. Of late there has been a steep rise in the demand for electricity in the state. The present study undertakes a holistic view of growth of demand for electricity in the state. The technique applied is multiple regression and secondary data is used for the purpose of analysis. The study concludes that demand for electricity in the state is price inelastic but income elastic for majority of consuming sectors. An important policy implication thereof is that price hike will be ineffective in regulating and managing demand unless price is varied in an hourly basis. Therefore, the state has to resort to other demand-side management (DSM) measures, such as improving efficiency of electricity use and its conservation. Considering the high income elasticity of electricity demand, sufficient electricity-generating capacity needs to be created, since demand is expected to grow at an accelerated rate in future. This calls for a comprehensive electricity policy. The study further concludes that in the long run, price-demand as well as income-demand relationship in case of electricity is likely to remain uncertain especially in the post-reform era. (author)

  15. Estimation Methodology for the Electricity Consumption with the Daylight- and Occupancy-Controlled Artificial Lighting

    DEFF Research Database (Denmark)

    Larsen, Olena Kalyanova; Jensen, Rasmus Lund; Strømberg, Ida Kristine

    2017-01-01

    Artificial lighting represents 15-30% of the total electricity consumption in buildings in Scandinavia. It is possible to avoid a large share of electricity use for lighting by application of daylight control systems for artificial lighting. Existing methodology for estimation of electricity...... consumption with application of such control systems in Norway is based on Norwegian standard NS 3031:2014 and can only provide results from a rough estimate. This paper aims to introduce a new estimation methodology for the electricity usage with the daylight- and occupancy-controlled artificial lighting...

  16. Incorporating residual temperature and specific humidity in predicting weather-dependent warm-season electricity consumption

    Science.gov (United States)

    Guan, Huade; Beecham, Simon; Xu, Hanqiu; Ingleton, Greg

    2017-02-01

    Climate warming and increasing variability challenges the electricity supply in warm seasons. A good quantitative representation of the relationship between warm-season electricity consumption and weather condition provides necessary information for long-term electricity planning and short-term electricity management. In this study, an extended version of cooling degree days (ECDD) is proposed for better characterisation of this relationship. The ECDD includes temperature, residual temperature and specific humidity effects. The residual temperature is introduced for the first time to reflect the building thermal inertia effect on electricity consumption. The study is based on the electricity consumption data of four multiple-street city blocks and three office buildings. It is found that the residual temperature effect is about 20% of the current-day temperature effect at the block scale, and increases with a large variation at the building scale. Investigation of this residual temperature effect provides insight to the influence of building designs and structures on electricity consumption. The specific humidity effect appears to be more important at the building scale than at the block scale. A building with high energy performance does not necessarily have low specific humidity dependence. The new ECDD better reflects the weather dependence of electricity consumption than the conventional CDD method.

  17. CO{sub 2} emissions, electricity consumption and output in ASEAN

    Energy Technology Data Exchange (ETDEWEB)

    Lean, Hooi Hooi [Economics Program, School of Social Sciences, Universiti Sains Malaysia (Malaysia); Smyth, Russell [Department of Economics, Monash University, Clayton 3800 (Australia)

    2010-06-15

    This study examines the causal relationship between carbon dioxide emissions, electricity consumption and economic growth within a panel vector error correction model for five ASEAN countries over the period 1980-2006. The long-run estimates indicate that there is a statistically significant positive association between electricity consumption and emissions and a non-linear relationship between emissions and real output, consistent with the environmental Kuznets curve. The long-run estimates, however, do not indicate the direction of causality between the variables. The results from the Granger causality tests suggest that in the long-run there is unidirectional Granger causality running from electricity consumption and emissions to economic growth. The results also point to unidirectional Granger causality running from emissions to electricity consumption in the short-run. (author)

  18. Assessing the influence of the temporal resolution of electrical load and PV generation profiles on self-consumption and sizing of PV-battery systems

    International Nuclear Information System (INIS)

    Beck, T.; Kondziella, H.; Huard, G.; Bruckner, T.

    2016-01-01

    Highlights: • MILP optimization model for operation and investment of PV-battery systems. • Use of high resolution (10 s) electrical household load and PV generation profiles. • Analysis of influence of temporal resolution on self-consumption and optimal sizing. • Electrical load profile characteristics influence required temporal resolution. - Abstract: The interest in self-consumption of electricity generated by rooftop photovoltaic systems has grown in recent years, fueled by decreasing levelized costs of electricity and feed-in tariffs as well as increasing end customer electricity prices in the residential sector. This also fostered research on grid-connected PV-battery storage systems, which are a promising technology to increase self-consumption. In this paper a mixed-integer linear optimization model of a PV-battery system that minimizes the total discounted operating and investment costs is developed. The model is employed to study the effect of the temporal resolution of electrical load and PV generation profiles on the rate of self-consumption and the optimal sizing of PV and PV-battery systems. In contrast to previous studies high resolution (10 s) measured input data for both PV generation and electrical load profiles is used for the analysis. The data was obtained by smart meter measurements in 25 different households in Germany. It is shown that the temporal resolution of load profiles is more critical for the accuracy of the determination of self-consumption rates than the resolution of the PV generation. For PV-systems without additional storage accurate results can be obtained by using 15 min solar irradiation data. The required accuracy for the electrical load profiles depends strongly on the load profile characteristics. While good results can be obtained with 60 s for all electrical load profiles, 15 min data can still be sufficient for load profiles that do not exhibit most of their electricity consumption at power levels above 2 k

  19. Causal linkages between electricity consumption and GDP in Thailand: evidence from the bounds test

    OpenAIRE

    Jiranyakul, Komain

    2014-01-01

    This paper investigates the causal relationship between electricity consumption and real GDP by applying the bounds testing for cointegration in a multivariate framework. The error correction mechanism is employed to detect causal relationship in the presence of cointegration among three variables. Empirical results for Thailand during 2001Q1 and 2014Q2 suggest that there is long-run bidirectional causality between electricity consumption and real GDP. The source of causation in the long run ...

  20. Experiment with flexible electric power consumption. Appendix; Demonstrationsforsoeg med fleksibelt elforbrug. Bilag

    Energy Technology Data Exchange (ETDEWEB)

    Pedersen, Thomas Emil (Dong Energy A/S, Fredericia (Denmark))

    2009-09-15

    The emergence of interactive meters with communication module has made it possible that electricity consumption at different customer segments can be activated in a new way of benefit for the customer, the electricity company and the system operator. In this demonstration project the customer segment is larger commercial properties and public institutions. The appendix contains information about the pilot software, guide to install equipment to handle flexible power consumption, model for economic calculations, and the experiments at 3 different buildings are described. (ln)

  1. Electricity consumption and economic growth nexus in Portugal using cointegration and causality approaches

    International Nuclear Information System (INIS)

    Shahbaz, Muhammad; Tang, Chor Foon; Shahbaz Shabbir, Muhammad

    2011-01-01

    The aim of this paper is to re-examine the relationship between electricity consumption, economic growth, and employment in Portugal using the cointegration and Granger causality frameworks. This study covers the sample period from 1971 to 2009. We examine the presence of a long-run equilibrium relationship using the bounds testing approach to cointegration within the Unrestricted Error-Correction Model (UECM). Moreover, we examine the direction of causality between electricity consumption, economic growth, and employment in Portugal using the Granger causality test within the Vector Error-Correction Model (VECM). As a summary of the empirical findings, we find that electricity consumption, economic growth, and employment in Portugal are cointegrated and there is bi-directional Granger causality between the three variables in the long-run. With the exception of the Granger causality between electricity consumption and economic growth, the rest of the variables are also bi-directional Granger causality in the short-run. Furthermore, we find that there is unidirectional Granger causality running from economic growth to electricity consumption, but no evidence of reversal causality. - Highlights: → We re-examine the relationship between electricity consumption, economic growth, and employment in Portugal. → The electricity consumption and economic growth is causing each other in the long-run. → In the short-run, economic growth Granger-cause electricity consumption, but no evidence of reversal causality. → Energy conservation policy will deteriorate the process of economic growth in the long-run. → Portugal should increase investment on R and D to design new energy savings technology.

  2. 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.

  3. Self Practices and the Experiential Gap: An Analysis of Moral Behavior around Electricity Consumption

    NARCIS (Netherlands)

    Geerts, R.J.

    2012-01-01

    Abstract: As a way to mitigate climate change, ways to reduce electricity consumption are being explored. I claim Briggle and Mitcham’s experiential gap offers a useful framework to understand the workings of our environment regarding this consumption. Via Foucauldian ethics, which holds people need

  4. Experimental program of substitution of incandescent light bulb by circular and compact fluorescence lights in the residential sector; Programa experimental de substituicao de lampadas incandensentes por fluorescentes circulares e compactas no segmento residencial

    Energy Technology Data Exchange (ETDEWEB)

    Fugiwara, Jose Kozi; Campos Filho, Marcello de Moura [Companhia Paulista de Forca e Luz (CPFL), Campinas, SP (Brazil); Santos, Vanice Ferreira dos [Universidade Estadual de Campinas, SP (Brazil)

    1995-12-31

    This work discusses the influence of the residential sector in the Brazilian consumption of electric power and the importance of electric power conservation in residential illumination. A case study is presented. Finally, the perspectives for the utilization of this tool in electric power conservation for market planning is presented 1 tab., 6 refs.

  5. Electricity tariff systems for informatics system design regarding consumption optimization in smart grids

    Directory of Open Access Journals (Sweden)

    Simona Vasilica OPREA

    2016-01-01

    Full Text Available High volume of data is gathered via sensors and recorded by smart meters. These data are processed at the electricity consumer and grid operators' side by big data analytics. Electricity consumption optimization offers multiple advantages for both consumers and grid operators. At the electricity customer level, by optimizing electricity consumption savings are significant, but the main benefits will come from indirect aspects such as avoiding onerous grid investments, higher volume of renewable energy sources' integration, less polluted environment etc. In order to optimize electricity consumption, advanced tariff systems are essential due to the financial incentive they provide for electricity consumers' behaviour change. In this paper several advanced tariff systems are described in details. These systems are applied in England, Spain, Italy, France, Norway and Germany. These systems are compared from characteristics, advantages/disadvantages point of view. Then, different tariff systems applied in Romania are presented. Romanian tariff systems have been designed for various electricity consumers' types. Different tariff systems applied by grid operators or electricity suppliers will be included in the database model that is part of an informatics system for electricity consumption optimization.

  6. A study of hierarchical structure on South China industrial electricity-consumption correlation

    Science.gov (United States)

    Yao, Can-Zhong; Lin, Ji-Nan; Liu, Xiao-Feng

    2016-02-01

    Based on industrial electricity-consumption data of five southern provinces of China from 2005 to 2013, we study the industrial correlation mechanism with MST (minimal spanning tree) and HT (hierarchical tree) models. First, we comparatively analyze the industrial electricity-consumption correlation structure in pre-crisis and after-crisis period using MST model and Bootstrap technique of statistical reliability test of links. Results exhibit that all industrial electricity-consumption trees of five southern provinces of China in pre-crisis and after-crisis time are in formation of chain, and the "center-periphery structure" of those chain-like trees is consistent with industrial specialization in classical industrial chain theory. Additionally, the industrial structure of some provinces is reorganized and transferred in pre-crisis and after-crisis time. Further, the comparative analysis with hierarchical tree and Bootstrap technique demonstrates that as for both observations of GD and overall NF, the industrial electricity-consumption correlation is non-significant clustered in pre-crisis period, whereas it turns significant clustered in after-crisis time. Therefore we propose that in perspective of electricity-consumption, their industrial structures are directed to optimized organization and global correlation. Finally, the analysis of distance of HTs verifies that industrial reorganization and development may strengthen market integration, coordination and correlation of industrial production. Except GZ, other four provinces have a shorter distance of industrial electricity-consumption correlation in after-crisis period, revealing a better performance of regional specialization and integration.

  7. Economic growth and electricity consumption in Cote d'Ivoire: Evidence from time series analysis

    International Nuclear Information System (INIS)

    Kouakou, Auguste K.

    2011-01-01

    This paper examines the causal relationship between the electric power industry and the economic growth of Cote d'Ivoire. Using the data from 1971 to 2008, a test was conducted for the cointegration and Granger causality within an error correction model. Results from these tests reveal a bidirectional causality between per capita electricity consumption and per capita GDP. A unidirectional causality running from electricity consumption to industry value added appears in the short run. Economic growth is found to have great effects on electricity consumption and a reverse causality from electricity to economic growth may also appear. In the long run, there is a unidirectional causality between electricity and both GDP and industry value added. From these findings, we conclude that the country will be energy dependent in the long run and must therefore secure the production network from shortfalls to ensure a sustainable development path. Accordingly, government should adopt policies aimed at increasing the investment in the sector by stepping up electricity production from existing and new energy sources. - Highlights: → We analyze the electricity-growth nexus for Cote d'Ivoire using causality tests. → Short run bi-directional causality appears between electricity and GDP. → We found a unidirectional causality running from electricity to industry and GDP. → Economic activities are electricity dependent and require appropriate policies.

  8. 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.

  9. Controlling the demand for electricity: strategies and challenges in the residential sector of the OECD countries

    International Nuclear Information System (INIS)

    Lebot, B.

    2003-01-01

    By reinforcing policies to improve the energy efficiency of household appliances (particularly by rating the efficiency of each appliance as a minimum of its overall cost from 2005 onwards), the member countries of the IEA are in a position to reduce their annual CO 2 emissions by approximately 322 million tonnes (Mt) by 2010, compared to what they would have obtained using current policies. In 2030, this same policy will make it possible to achieve an annual saving of 1 110 TWh in the consumption of electricity, (572 Mt of CO 2 each year). This measure alone will meet 30% of the objectives of the member countries of the IEA under the Kyoto agreements concerning climatic change. These reductions can be obtained at a negative cost for society as the additional cost generated by improvements in energy efficiency is offset by savings made in operating costs during the life of the appliance. Thus, in the United States, each tonne of CO 2 saved in this way in 2020 will generate $65 for society. In Europe, every tonne of CO 2 saved will generate a gain of euros 169 (the difference being accounted for by the higher cost of electricity and by lower energy efficiency standards currently existing in Europe). It is possible to make major savings in all regions of the OECD, despite the vast diversity of the various situations of the countries. In the member countries of the IEA, the policies in place have already demonstrated their economic effectiveness in reducing demand for energy and greenhouse gas emissions. Up to 2000, they made it possible to reduce greenhouse gas emissions by approximately 46 Mt of CO 2 each year. These policies will contribute to reducing emissions by 126 Mt of CO 2 each year up to 2010. International co-operation offers real advantages in the deployment of policies for controlling the demand for energy by households. Manufacturers, consumers and governments all benefit from greater transparency in the marketplace, improved comparisons of test methods

  10. Analysing socioeconomic diversity and scaling effects on residential electricity load profiles in the context of low carbon technology uptake

    International Nuclear Information System (INIS)

    McKenna, R.; Hofmann, L.; Merkel, E.; Fichtner, W.; Strachan, N.

    2016-01-01

    Adequately accounting for interactions between Low Carbon Technologies (LCTs) at the building level and the overarching energy system means capturing the granularity associated with decentralised heat and power supply in residential buildings. The approach presented here adds novelty in terms of a realistic socioeconomic differentiation by employing dwelling/household archetypes (DHAs) and neighbourhood clusters at the Output Area (OA) level. These archetypes are combined with a mixed integer linear program (MILP) to generate optimum (minimum cost) technology configurations and operation schedules. Even in the baseline case, without any LCT penetration, a substantial deviation from the standard load profile (SLP) is encountered, suggesting that for some neighbourhoods this profile is not appropriate. With the application of LCTs, including heat pumps, micro-CHP and photovoltaic (PV), this effect is much stronger, including more negative residual load, more variability, and higher ramps with increased LCT penetration, and crucially different between neighbourhood clusters. The main policy implication of the study is the importance of understanding electrical load profiles at the neighbourhood level, because of the consequences they have for investment in the overarching energy system, including transmission and distribution infrastructure, and centralised generation plant. Further work should focus on attaining a superior socioeconomic differentiation between households. - Highlights: • Low carbon technologies (LCTs) for heat/electricity in residential buildings. • Socioeconomic effects and interactions with overarching energy system. • Building thermal/electrical model combined with optimisation. • Significant differences between neighbourhood load profiles. • Policy implications: support for LCTs and investment in infrastructure.

  11. Comparison study of the technical characteristics and financial analysis of electric battery storage systems for residential grid

    Science.gov (United States)

    Palivos, Marios; Vokas, Georgios A.; Anastasiadis, Anestis; Papageorgas, Panagiotis; Salame, Chafic

    2018-05-01

    One of the major energy issues of our days is reliable and effective energy generation and supply of electricity grids. In recent years there has been experienced a rapid development and implementation of Renewable Energy Sources (RES) worldwide. On one hand, many Gigawatts of grid-connected renewables are being installed and on the other many Megawatts of hybrid renewable systems for residential use are being installed making use of electric battery systems, in order to cover all daily energy and power needs during. New types of batteries are being developed and many companies have made great progress providing a variety of electricity storage products. The purpose of this research is firstly to highlight the necessity and also the importance of the use of energy storage systems and secondly, through detailed technical and financial simulation analysis using HOMER Pro-optimization software, to compare the technical characteristics and performance of energy storage systems by various leading companies when installed in a residential renewable energy system with a specific load and at the same time to provide the most efficient system economically. Results concerning the operation and the choice of a storage system are derived.

  12. The impact of information and communication technologies on electricity consumption in Germany

    Energy Technology Data Exchange (ETDEWEB)

    Cremer, Clemens; Schlomann, Barbara; Friedewald, Michael [Fraunhofer Inst. Systems and Innovation Research, Karlsruhe (Germany)

    2003-07-01

    The importance of information and communication technologies in everyday life is increasing strongly. The growing penetration of PCs in households and offices and the almost ubiquitous use of mobile communication devices are vivid examples for this development. The key drivers influencing the penetration, usage patterns and specific energy consumption of IC-equipment were examined and a bottom-up analysis of the direct energy consumption of ICT-equipment in households and offices was made for 2001 resulting an energy demand of 38 TWh. In addition, projections for the years 2005 and 2010 were developed based on the base year consumption and the key driving forces, which showed an increase of ICT energy consumption to 55 TWh in 2010. The energy consumption was analysed in normal operation mode, standby and off-mode. A differentiation was made between end-use appliances and the ICT-infrastructure in buildings for both residential and commercial use. This made it possible to identify the appliances and the infrastructure equipment with the highest growth in energy consumption and to examine the options and potentials for the increase of energy efficiency. This paper gives an overview of the state and development of the energy consumption of ICT equipment as well as the key driving forces and savings potentials in this field.

  13. Electricity consumption and economic growth: a time series experience for 17 African countries

    International Nuclear Information System (INIS)

    Wolde-Rufael, Yemane

    2006-01-01

    While the availability of electricity by itself is not a panacea for the economic and social problems facing Africa, the supply of electricity is nevertheless believed to be a necessary requirement for Africa's economic and social development. This paper tests the long-run and causal relationship between electricity consumption per capita and real gross domestic product (GDP) per capita for 17 African countries for the period 1971-2001 using a newly developed cointegration test proposed by Pesaran et al. (2001) and using a modified version of the Granger causality test due to Toda and Yamamoto (1995). The advantage of using these two approaches is that they both avoid the pre-testing bias associated with conventional unit root and cointegration tests. The empirical evidence shows that there was a long-run relationship between electricity consumption per capita and real GDP per capita for only 9 countries and Granger causality for only 12 countries. For 6 countries there was a positive uni-directional causality running from real GDP per capita to electricity consumption per capita; an opposite causality for 3 countries and bi-directional causality for the remaining 3 countries. The result should, however, be interpreted with care as electricity consumption accounts for less than 4% of total energy consumption in Africa and only grid-supplied electricity is taken into account

  14. Trivariate causality between economic growth, urbanisation and electricity consumption in Angola: Cointegration and causality analysis

    International Nuclear Information System (INIS)

    Solarin, Sakiru Adebola; Shahbaz, Muhammad

    2013-01-01

    This paper investigates the causal relationship between economic growth, urbanisation and electricity consumption in the case of Angola, while utilizing the data over the period of 1971–2009. We have applied Lee and Strazicich (2003. The Review of Economics and Statistics 63, 1082–1089; 2004. Working Paper. Department of Economics, Appalachian State University) unit root tests to examine the stationarity properties of the series. Using the Gregory–Hansen structural break cointegration procedure as a complement, we employ the ARDL bounds test to investigate long run relationships. The VECM Granger causality test is subsequently used to examine the direction of causality between economic growth, urbanisation, and electricity consumption. Our results indicate the existence of long run relationships. We further observe evidence in favour of bidirectional causality between electricity consumption and economic growth. The feedback hypothesis is also found between urbanisation and economic growth. Urbanisation and electricity consumption Granger cause each other. We conclude that Angola is energy-dependent country. Consequently, the relevant authorities should boost electricity production as one of the means of achieving sustainable economic development in the long run. - Highlights: • We consider the link between electricity consumption and economic growth in Angola. • Urbanisation is added to turn the research into a trivariate investigation. • Various time series procedures are used. • Results show that increasing electricity will improve economic growth in Angola. • Results show urbanisations reduced economic growth during civil war

  15. 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.

  16. Mitigation of the Impact of High Plug-in Electric Vehicle Penetration on Residential Distribution Grid Using Smart Charging Strategies

    Directory of Open Access Journals (Sweden)

    Chong Cao

    2016-12-01

    Full Text Available Vehicle electrification presents a great opportunity to reduce transportation greenhouse gas emissions. The greater use of plug-in electric vehicles (PEVs, however, puts stress on local distribution networks. This paper presents an optimal PEV charging control method integrated with utility demand response (DR signals to mitigate the impact of PEV charging to several aspects of a grid, including load surge, distribution accumulative voltage deviation, and transformer aging. To build a realistic PEV charging load model, the results of National Household Travel Survey (NHTS have been analyzed and a stochastic PEV charging model has been defined based on survey results. The residential distribution grid contains 120 houses and is modeled in GridLAB-D. Co-simulation is performed using Matlab and GridLAB-D to enable the optimal control algorithm in Matlab to control PEV charging loads in the residential grid modeled in GridLAB-D. Simulation results demonstrate the effectiveness of the proposed optimal charging control method in mitigating the negative impacts of PEV charging on the residential grid.

  17. Electricity consumption and CO2 capture potential in Spain

    International Nuclear Information System (INIS)

    Romeo, Luis M.; Calvo, Elena; Valero, Antonio; De Vita, Alessia

    2009-01-01

    In this paper, different electricity demand scenarios for Spain are presented. Population, income per capita, energy intensity and the contribution of electricity to the total energy demand have been taken into account in the calculations. Technological role of different generation technologies, i.e. coal, nuclear, renewable, combined cycle (CC), combined heat and power (CHP) and carbon capture and storage (CCS), are examined in the form of scenarios up to 2050. Nine future scenarios corresponding to three electrical demands and three options for new capacity: minimum cost of electricity, minimum CO 2 emissions and a criterion with a compromise between CO 2 and cost (CO 2 -cost criterion) have been proposed. Calculations show reduction in CO 2 emissions from 2020 to 2030, reaching a maximum CO 2 emission reduction of 90% in 2050 in an efficiency scenario with CCS and renewables. The contribution of CCS from 2030 is important with percentage values of electricity production around 22-28% in 2050. The cost of electricity (COE) increases up to 25% in 2030, and then this value remains approximately constant or decreases slightly.

  18. Prediction of electricity and lpg consumption in a hotel using artificial neural networks

    International Nuclear Information System (INIS)

    Montero, L Reiners; Perez T, Carlos; Gongora L, Ever; Marrero, R Secundino

    2009-01-01

    This work was developed in order to improve the current tools for energy planning. This makes possible to predict electricity and LPG consumption in a tourist facility with accuracy higher than 90% by using Artificial Neuronal Networks (ANN) as fitting and predictive models. Local climatology and occupational patterns were used as entering variables for the models. Parametric modeling was performed as starting conditions and then improved with ANN. Matlab tools were used for calculations. The average deviation when predicting electricity consumption was 0.6% with a standard deviation of 4%. For LPG consumption the average deviation was less than 1% with a standard deviation of 1.3%.

  19. Research on Relation between El Nino Climate and Summer Electricity Consumption

    Science.gov (United States)

    Miao, B.; Lin, J. Y.; Liu, C.

    2018-01-01

    El Nino is a typical climate phenomena. Such phenomena would have influence on climate in China and furthermore impact the electricity condition. This paper is purposed to explore how El Nino phenomena affecting electricity and make prediction on summer electricity consumption. Since meteorological characteristics are complex and multiplex, a variety of meteorological factors should be considered and the paper used Body Feeling Temperature to measure it. Furthermore, to make prediction on summer electricity, the paper used the Pearson Analysis to measure the correlation between weather and electricity and then extracted the weather-used electricity from the whole society electricity using least square method. Finally, the paper built the model on relation between weather-used electricity and body feeling temperature, and took Beijing as an example to make electricity prediction. The prediction idea and model the paper put forward is reliable and practicable.

  20. Household energy and consumption and expenditures, 1990

    International Nuclear Information System (INIS)

    1993-01-01

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

  1. Sectoral analysis of the causal relationship between electricity consumption and real output in Pakistan

    International Nuclear Information System (INIS)

    Tang, Chor Foon; Shahbaz, Muhammad

    2013-01-01

    This study uses the annual data from 1972 to 2010 to assess the causal relationship between electricity consumption and real output at the aggregate and sectoral levels in Pakistan. This study covers three main economic sectors in Pakistan namely agricultural, manufacturing and services sectors. Our cointegration results reveal that the variables are cointegrated at the aggregate and sectoral levels. At the aggregate level, we find that there is uni-directional Granger causality running from electricity consumption to real output in Pakistan. At the sectoral level, we find that electricity consumption Granger-causes real output in the manufacturing and services sectors. However, there is no causal relationship between electricity consumption and real output in the agricultural sector. The policy implication of these results is that electricity conservation policies in general would deteriorate the process of economic growth as well as the real output in the manufacturing and services sectors in Pakistan. Nevertheless, we suggest the Pakistani government to implement the electricity conservation policies merely to the agricultural sector because such policies may have less or no adverse impact on its real output. - Highlights: • We assess the electricity-growth nexus in Pakistan at the aggregate and sectoral levels. • The variables are cointegrated at both levels. • We find causality from electricity to output at the aggregate level and services. • We find neutral causality in the agricultural sector. • We find bi-directional causality in the manufacturing sector

  2. Experimental Evaluation of Simple Thermal Storage Control Strategies in Low-Energy Solar Houses to Reduce Electricity Consumption during Grid On-Peak Periods

    Directory of Open Access Journals (Sweden)

    Kyoung-Ho Lee

    2015-08-01

    Full Text Available There is growing interest in zero-energy and low-energy buildings, which have a net energy consumption (on an annual basis of almost zero. Because they can generate both electricity and thermal energy through the use of solar photovoltaic (PV and solar thermal collectors, and with the help of reduced building thermal demand, low-energy buildings can not only make a significant contribution to energy conservation on an annual basis, but also reduce energy consumption and peak demand. This study focused on electricity consumption during the on-peak period in a low-energy residential solar building and considers the use of a building’s thermal mass and thermal storage to reduce electricity consumption in summer and winter by modulation of temperature setpoints for heat pump and indoor thermostats in summer and additional use of a solar heating loop in winter. Experiments were performed at a low-energy solar demonstration house that has solar collectors, hot water storage, a ground-coupled heat pump, and a thermal storage tank. It was assumed that the on-peak periods were from 2 pm to 5 pm on hot summer days and from 5 pm to 8 pm on cold winter days. To evaluate the potential for utilizing the building’s thermal storage capacity in space cooling and heating, the use of simple control strategies on three test days in summer and two test days in the early spring were compared in terms of net electricity consumption and peak demand, which also considered the electricity generation from solar PV modules on the roof of the house.

  3. Analytical method to evaluate fuel consumption of hybrid electric vehicles at balanced energy content of the electric storage devices

    Energy Technology Data Exchange (ETDEWEB)

    Katrasnik, Tomaz [University of Ljubljana, Faculty of Mechanical Engineering, Askerceva 6, 1000 Ljubljana (Slovenia)

    2010-11-15

    Innovative analytically based method to calculate corrected fuel consumption of parallel and series hybrid electric vehicles (HEVs) at balanced energy content of the electric storage devices is proposed and validated in the paper. The proposed analytical method is generally applicable and features highly accurate corrected fuel consumption results. It enables calculation of the corrected fuel consumption out of a single fuel consumption test run in a single analytic post-processing step. An additional fuel consumption test run might be needed to obtain highly accurate results if ratio of the energy content deviation of the electric storage devices to the energy used for vehicle propulsion over the test cycle is high. Proposed method enables consideration of non-linear energy flow changes and non-linear HEV component efficiency changes caused by the energy management strategy or by the component characteristics. The method therefore features highly accurate results out of the minimum number of fuel consumption test runs and thus optimizes workload for development or optimization of HEVs. The input data of the method are characteristic energy flows and efficiencies that are derived from the energy flows on selected energy paths of HEVs. (author)

  4. Using Economic Incentives to Reduce Electricity Consumption: A field Experiment in Matsuyama, Japan

    Directory of Open Access Journals (Sweden)

    Kenichi Mizobuchi

    2012-01-01

    Full Text Available This study examines the effectiveness of economic incentives in promoting electricity-conservation behavior among Japanese households. Fifty-three Japanese households participated in a field experiment and were offered monetary rewards depending on their rate of reduction in electricity consumption. To avoid bias in sample selection, which is typically present in previous studies, we adopted a request-based approach for recruiting participants. Results showed that only 34% of the participants succeeded in reducing their electricity consumption, and the average reduction rate was –4.8%. Econometric analysis confirmed that monetary rewards had a positive influence on the electricity conservation behavior, especially of family members who typically stay at home on weekdays. Responses to the questionnaires administered before and after the experiment suggest that participants may have underestimated the marginal costs of the electricity conservation behavior. The efficacy of economic incentives, established in our study, offers a potential measure for encouraging electricity-conservation behavior among Japanese households.

  5. The impact of advanced metering infrastructure on residential electricity consumption: Evidence from California

    OpenAIRE

    Paschmann, Martin Heinrich; Paulus, Simon

    2017-01-01

    One important pillar in the debate about energy-saving measures addresses energy conservation. In this paper, we focus on the deployment of advanced metering infrastructure to reduce the impact of limited information and bounded rationality of consumers. For California, we empirically analyze the influence of a statewide and policy-driven installation of advanced metering infrastructure. We apply synthetic control methods to derive a suitable control group. We then conduct a Difference-in-Dif...

  6. Techno-economic feasibility of hybrid diesel/PV/wind/battery electricity generation systems for non-residential large electricity consumers under southern Iran climate conditions

    International Nuclear Information System (INIS)

    Baneshi, Mehdi; Hadianfard, Farhad

    2016-01-01

    Highlights: • A hybrid electricity generation system for a large electricity consumer was studied. • The PV and wind electricity potentials under given climate conditions were evaluated. • Technical, economical, and environmental issues of different systems were discussed. • The optimum configuration of components was obtained. • The impacts of governmental incentives on economic viability of systems were examined. - Abstract: This paper aims to study the techno-economical parameters of a hybrid diesel/PV/wind/battery power generation system for a non-residential large electricity consumer in the south of Iran. As a case study, the feasibility of running a hybrid system to meet a non-residential community’s load demand of 9911 kWh daily average and 725 kW peak load demand was investigated. HOMER Pro software was used to model the operation of the system and to identify the appropriate configuration of it based on comparative technical, economical, and environmental analysis. Both stand alone and grid connected systems were modeled. The impacts of annual load growth and governmental energy policies such as providing low interest loan to renewable energy projects, carbon tax, and modifying the grid electricity price on viability of the system were discussed. Results show that for off-grid systems the cost of electricity (COE) and the renewable fraction of 9.3–12.6 ₵/kWh and 0–43.9%, respectively, are achieved with photovoltaic (PV) panel, wind turbine, and battery sizes of 0–1000 kW, 0–600 kW, and 1300 kWh, respectively. For on grid systems without battery storage the range of COE and renewable fraction are 5.7–8.4 ₵/kWh and 0–53%, respectively, for the same sizes of PV panel and wind turbine.

  7. Analyzing of economic growth based on electricity consumption from different sources

    Science.gov (United States)

    Maksimović, Goran; Milosavljević, Valentina; Ćirković, Bratislav; Milošević, Božidar; Jović, Srđan; Alizamir, Meysam

    2017-10-01

    Economic growth could be influenced by different factors. In this study was analyzed the economic growth based on the electricity consumption form different sources. As economic growth indicator gross domestic product (GDP) was used. ANFIS (adaptive neuro fuzzy inference system) methodology was applied to determine the most important factors from the given set for the GDP growth prediction. Six inputs were used: electricity production from coal, hydroelectric, natural gas, nuclear, oil and renewable sources. Results shown that the electricity consumption from renewable sources has the highest impact on the economic or GDP growth prediction.

  8. The effect of daylight saving time options on electricity consumption of Turkey

    Energy Technology Data Exchange (ETDEWEB)

    Karasu, Servet [Rize University, Rize Vocational School, 53100, Rize (Turkey)

    2010-09-15

    Most of the developed countries in the world use Daylight Saving Time (DST) as an energy conservation method. This study focuses on the effects of DST on electrical lighting in the buildings in Turkey. Turkey might adjust its daylight saving time to decrease energy consumption. For this purpose, five scenarios are considered and compared to status quo. The scenario with a 30-minute forward shift to single DST from April to October, stands out as the best solution to conserve electricity across the entire country. The results of the study show that maximum saving is obtained in this scenario by at least 0.7% on the consumption of lighting electricity. (author)

  9. The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach

    Energy Technology Data Exchange (ETDEWEB)

    Bessec, Marie [CGEMP, Universite Paris-Dauphine, Place du Marechal de Lattre de Tassigny Paris (France); Fouquau, Julien [LEO, Universite d' Orleans, Faculte de Droit, d' Economie et de Gestion, Rue de Blois, BP 6739, 45067 Orleans Cedex 2 (France)

    2008-09-15

    This paper investigates the relationship between electricity demand and temperature in the European Union. We address this issue by means of a panel threshold regression model on 15 European countries over the last two decades. Our results confirm the non-linearity of the link between electricity consumption and temperature found in more limited geographical areas in previous studies. By distinguishing between North and South countries, we also find that this non-linear pattern is more pronounced in the warm countries. Finally, rolling regressions show that the sensitivity of electricity consumption to temperature in summer has increased in the recent period. (author)

  10. The Analysis of Electrical Energy Consumption of the Impact Screwdriver During Assembly of Fixed Threaded Joints

    Science.gov (United States)

    Grinevich, I.; Nikishin, Vl.; Mozga, N.; Laitans, M.

    2017-06-01

    The paper deals with the possibilities of reducing the consumption of electrical energy of the impact screwdriver during the assembly of fixed threaded joints. The recommendations related to a decrease in electrical energy consumption would allow reducing product costs but so far there have been no such recommendations from the producers of the tool as to the effective operating regimes of the impact screwdrivers in relation to electrical energy consumption and necessary tightening moment of the nut. The aim of the study is to find out the economical operating mode of the electrical impact screwdriver when assembling fixed threaded joints. By varying the set speed of the rotor head and working time of the impact mechanism, there is an opportunity to determine electrical energy consumption of the tool for the given tightening moment. The results of the experiment show that at the same tightening moment obtained the electrical energy consumption of the impact screwdriver is less at a higher starting set speed of the rotor head but shorter operating time of the impact mechanism than at a lower speed of the rotor head and longer operating time of the impact mechanism.

  11. Operational Water Withdrawal and Consumption Factors for Electricity Generation Technology in China—A Literature Review

    Directory of Open Access Journals (Sweden)

    Jinjing Gao

    2018-04-01

    Full Text Available As two indispensable resources for human development, energy and water are closely related. China, as the world’s largest consumer of electricity, is also experiencing very serious water shortages. Understanding the water consumption intensity in various types of electric power production technologies according to China’s national conditions is a prerequisite for understanding the potential impact of electrical power production on water resources. Therefore, following the steps of a meta-analysis, this paper provides a literature review on operational water withdrawal and consumption factors for electricity generation technology in China. We observed that 50% of water consumption for electricity generation was for coal power, whereas there was no research on the water consumption intensity of natural gas power generation, and a shortage of studies on water intake during electrical power production. The average water consumption intensity of hydropower is the largest. The results indicate that compared with other fuel types, hydropower is not a sustainable energy with respect to water conservation, and the study of hydropower applications should be improved in China.

  12. Evaluation of sugar yeast consumption by measuring electrical medium resistance

    Directory of Open Access Journals (Sweden)

    Martin Lucas Zamora

    2013-12-01

    Full Text Available The real-time monitoring of alcoholic fermentation (sugar consumption is very important in industrial processes. Several techniques (i.e., using a biosensor have been proposed to realize this goal. In this work, we propose a new method to follow sugar yeast consumption. This novel method is based on the changes in the medium resistance (Rm that are induced by the CO2 bubbles produced during a fermentative process. We applied a 50-mV and 700-Hz signal to 75 ml of a yeast suspension in a tripolar cell. A gold electrode was used as the working electrode, whereas an Ag/AgCl electrode and a stainless-steel electrode served as the reference and counter electrodes, respectively. We then added glucose to the yeast suspension and obtained a 700% increase in the Rm after 8 minutes. The addition of sucrose instead of glucose as the carbon source resulted in a 1200% increase in the Rm. To confirm that these changes are the result of CO2 bubbles in the fermentation medium, we designed a tetrapolar cell in which CO2 gas was insufflated at the bottom of the cell and concluded that the changes were due to CO2 bubbles produced during the fermentation. Consequently, this new method is a low-cost and rapid technology to follow the sugar consumption in yeast.

  13. Effects of climate change on the production and consumption of electricity in Finland

    International Nuclear Information System (INIS)

    Kuivalainen, P.; Forsius, J.; Maekinen, P.

    1996-01-01

    The purpose of this study was to use the latest knowledge about the greenhouse effect and its impact on electricity production and consumption in Finland and so to update the former study of Aittoniemi made at IVO in 1990. This research used the new climate change scenarios which were drawn up in the Nordic research project entitled Climate Change and Energy Production, financed by the Nordic Council of Ministers, and in the Finnish Research Programme on Climate Change, SILMU. These scenarios have been specially made for Finland, and are thus more suitable than the former global models. The base scenario was chosen to be the year 2025 with no climate change, and the climate change-affected years studied were 2025 and 2100. The base scenario of electricity consumption and production took advantage of the scenario of Ministry of Trade and Industry made at the end of the 1980s. Some changes were essential, however, since the present development proves that some of the assumptions concerning power production forms will not be relevant in 2025. Based on the known dependencies between electricity consumption and temperature, impacts were calculated for each affected consumption sector: electric heating, household consumption and industrial consumption, process industry excluded. The total effect on the supply system was estimated with the KAPAS model, developed for capacity planning of Finland. According to the results, the effects of the projected climate change on the total consumption and production of electricity will be limited. The structure of both electricity consumption and production will remain rather similar, the most important changes applying to hydro power. (13 refs.)

  14. Long-term forecasting of hourly electricity load: Identification of consumption profiles and segmentation of customers

    DEFF Research Database (Denmark)

    Møller Andersen, Frits; Larsen, Helge V.; Boomsma, Trine Krogh

    2013-01-01

    , to model and forecast long-term changes in the aggregated electricity load profile, we identify profiles for different categories of customers and link these to projections of the aggregated annual consumption by categories of customers. Long-term projection of the aggregated load is important for future......Data for aggregated hourly electricity demand shows systematic variations over the day, week, and seasons, and forecasting of aggregated hourly electricity load has been the subject of many studies. With hourly metering of individual customers, data for individual consumption profiles is available....... Using this data and analysing the case of Denmark, we show that consumption profiles for categories of customers are equally systematic but very different for distinct categories, that is, distinct categories of customers contribute differently to the aggregated electricity load profile. Therefore...

  15. Hybrid ARIMAX quantile regression method for forecasting short term electricity consumption in east java

    Science.gov (United States)

    Prastuti, M.; Suhartono; Salehah, NA

    2018-04-01

    The need for energy supply, especially for electricity in Indonesia has been increasing in the last past years. Furthermore, the high electricity usage by people at different times leads to the occurrence of heteroscedasticity issue. Estimate the electricity supply that could fulfilled the community’s need is very important, but the heteroscedasticity issue often made electricity forecasting hard to be done. An accurate forecast of electricity consumptions is one of the key challenges for energy provider to make better resources and service planning and also take control actions in order to balance the electricity supply and demand for community. In this paper, hybrid ARIMAX Quantile Regression (ARIMAX-QR) approach was proposed to predict the short-term electricity consumption in East Java. This method will also be compared to time series regression using RMSE, MAPE, and MdAPE criteria. The data used in this research was the electricity consumption per half-an-hour data during the period of September 2015 to April 2016. The results show that the proposed approach can be a competitive alternative to forecast short-term electricity in East Java. ARIMAX-QR using lag values and dummy variables as predictors yield more accurate prediction in both in-sample and out-sample data. Moreover, both time series regression and ARIMAX-QR methods with addition of lag values as predictor could capture accurately the patterns in the data. Hence, it produces better predictions compared to the models that not use additional lag variables.

  16. Data feature: 1991 World electricity production and consumption

    International Nuclear Information System (INIS)

    Anon.

    1992-01-01

    Nuclear's share of the electricity being generated in the world appears to have reached its peak in 1991 and is likely to undergo a gradual decline in the coming years. Conservative estimates on electricity demand growth rates suggest that nuclear's share could decline to as low as 15.2% by the year 2005 from the current 16.6% level. Only four nuclear power stations with a combined capacity of 3,673 MWe were connected to the electrical grid system in the Western World last year, and new construction was started on a total of two units with an aggregate capacity of 1,944 MWe. Not all projects currently under construction will necessarily be completed to the point of generating electricity. This is particularly true in the Commonwealth of Independent States. Add onto this the potential shutdown of still operating but unsafe Soviet-designed reactors, as well as extended outages in the Western World for periodic safety assessments and steam generator replacement in aging plants. NUKEM believes this global trend will not be counterbalanced even by the ever-improving performance of US nuclear power stations whose load factors have now reached Western European standards. Accordingly, nuclear's share in world power generation is expected to decline gradually from 1992 onwards. This month's data feature focuses on electrical production in Western Europe, North America, and the Far East. The ex-Soviet republics and the neighboring Eastern European countries will be examined in greater detail in upcoming issues of the NUKEM Market Report as more complete data becomes available

  17. Post-Kyoto energy consumption strategies for the Greek interconnected electric system

    International Nuclear Information System (INIS)

    Dagoumas, A.S.; Panapakidis, I.P.; Papagiannis, G.K.; Dokopoulos, P.S.

    2008-01-01

    The liberalization of the Greek electric market (Law 2773/99, updated with Laws 3175/2003 and 3426/2005 for incorporating Directive 2003/54 into the Greek legislation) is in its final structural transformation, which includes the fact that from 1.7.2007 each customer can select its electricity provider. This new status together with the procedure towards the formation of a post-Kyoto plan, raise the need of examining different energy saving strategies in the consumption side for evaluating their economic and environmental consequences. Such strategies may be useful for the decision makers or the electricity retail companies. This paper examines the influence of several post-Kyoto electricity consumption strategies in the Greek interconnected electric system for the period 2005-2025. The aim of the paper is to be used as a decision makers' tool for investigating the potential of electricity consumption policies. The results show that policies related either to seasonal peak demand control, or targeting at the total electric consumption lead to significant gains and emission reduction. Moreover the influence of factors, such as the weather conditions, the discount rate of the energy investments, the fuel prices evolution and the consumers' behavior linkage with oil prices are examined

  18. Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors

    International Nuclear Information System (INIS)

    Azadeh, A.; Ghaderi, S.F.; Sohrabkhani, S.

    2008-01-01

    This paper presents an artificial neural network (ANN) approach for annual electricity consumption in high energy consumption industrial sectors. Chemicals, basic metals and non-metal minerals industries are defined as high energy consuming industries. It is claimed that, due to high fluctuations of energy consumption in high energy consumption industries, conventional regression models do not forecast energy consumption correctly and precisely. Although ANNs have been typically used to forecast short term consumptions, this paper shows that it is a more precise approach to forecast annual consumption in such industries. Furthermore, the ANN approach based on a supervised multi-layer perceptron (MLP) is used to show it can estimate the annual consumption with less error. Actual data from high energy consuming (intensive) industries in Iran from 1979 to 2003 is used to illustrate the applicability of the ANN approach. This study shows the advantage of the ANN approach through analysis of variance (ANOVA). Furthermore, the ANN forecast is compared with actual data and the conventional regression model through ANOVA to show its superiority. This is the first study to present an algorithm based on the ANN and ANOVA for forecasting long term electricity consumption in high energy consuming industries

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-12-15

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

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

    Energy Technology Data Exchange (ETDEWEB)

    McNeil, Michael A.; Letschert, Virginie E.

    2007-05-01

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

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

    Directory of Open Access Journals (Sweden)

    Hanan M. Taleb

    2014-06-01

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

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

    Directory of Open Access Journals (Sweden)

    Qiaoxia Yang

    2015-01-01

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

  3. A mechanistic model for electricity consumption on dairy farms: definition, validation, and demonstration.

    Science.gov (United States)

    Upton, J; Murphy, M; Shalloo, L; Groot Koerkamp, P W G; De Boer, I J M

    2014-01-01

    Our objective was to define and demonstrate a mechanistic model that enables dairy farmers to explore the impact of a technical or managerial innovation on electricity consumption, associated CO2 emissions, and electricity costs. We, therefore, (1) defined a model for electricity consumption on dairy farms (MECD) capable of simulating total electricity consumption along with related CO2 emissions and electricity costs on dairy farms on a monthly basis; (2) validated the MECD using empirical data of 1yr on commercial spring calving, grass-based dairy farms with 45, 88, and 195 milking cows; and (3) demonstrated the functionality of the model by applying 2 electricity tariffs to the electricity consumption data and examining the effect on total dairy farm electricity costs. The MECD was developed using a mechanistic modeling approach and required the key inputs of milk production, cow number, and details relating to the milk-cooling system, milking machine system, water-heating system, lighting systems, water pump systems, and the winter housing facilities as well as details relating to the management of the farm (e.g., season of calving). Model validation showed an overall relative prediction error (RPE) of less than 10% for total electricity consumption. More than 87% of the mean square prediction error of total electricity consumption was accounted for by random variation. The RPE values of the milk-cooling systems, water-heating systems, and milking machine systems were less than 20%. The RPE values for automatic scraper systems, lighting systems, and water pump systems varied from 18 to 113%, indicating a poor prediction for these metrics. However, automatic scrapers, lighting, and water pumps made up only 14% of total electricity consumption across all farms, reducing the overall impact of these poor predictions. Demonstration of the model showed that total farm electricity costs increased by between 29 and 38% by moving from a day and night tariff to a flat

  4. Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception

    International Nuclear Information System (INIS)

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

    2011-01-01

    Increased demand response is essential to fully exploit the Swedish power system, which in turn is an absolute prerequisite for meeting political goals related to energy efficiency and climate change. Demand response programs are, nonetheless, still exceptional in the residential sector of the Swedish electricity market, one contributory factor being lack of knowledge about the extent of the potential gains. In light of these circumstances, this empirical study set out with the intention of estimating the scope of households' response to, and assessing customers' perception of, a demand-based time-of-use electricity distribution tariff. The results show that households as a whole have a fairly high opinion of the demand-based tariff and act on its intrinsic price signals by decreasing peak demand in peak periods and shifting electricity use from peak to off-peak periods. - Highlights: → Households are sympathetic to demand-based tariffs, seeing as they relate to environmental issues. → Households adjust their electricity use to the price signals of demand-based tariffs. → Demand-based tariffs lead to a shift in electricity use from peak to off-peak hours. → Demand-based tariffs lead to a decrease in maximum demand in peak periods. → Magnitude of these effects increases over time.

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

    Science.gov (United States)

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

    2017-12-01

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

  6. A Dedicated Mixture Model for Clustering Smart Meter Data: Identification and Analysis of Electricity Consumption Behaviors

    Directory of Open Access Journals (Sweden)

    Fateh Nassim Melzi

    2017-09-01

    Full Text Available The large amount of data collected by smart meters is a valuable resource that can be used to better understand consumer behavior and optimize electricity consumption in cities. This paper presents an unsupervised classification approach for extracting typical consumption patterns from data generated by smart electric meters. The proposed approach is based on a constrained Gaussian mixture model whose parameters vary according to the day type (weekday, Saturday or Sunday. The proposed methodology is applied to a real dataset of Irish households collected by smart meters over one year. For each cluster, the model provides three consumption profiles that depend on the day type. In the first instance, the model is applied on the electricity consumption of users during one month to extract groups of consumers who exhibit similar consumption behaviors. The clustering results are then crossed with contextual variables available for the households to show the close links between electricity consumption and household socio-economic characteristics. At the second instance, the evolution of the consumer behavior from one month to another is assessed through variations of cluster sizes over time. The results show that the consumer behavior evolves over time depending on the contextual variables such as temperature fluctuations and calendar events.

  7. Electricity consumption in Morocco: Stochastic Gompertz diffusion analysis with exogenous factors

    International Nuclear Information System (INIS)

    Gutierrez, R.; Gutierrez-Sanchez, R.; Nafidi, A.

    2006-01-01

    This paper proposes a means of using stochastic diffusion processes to model the total consumption of electrical power (including distribution and transport losses) in Morocco, as recorded by the official data for total sales published by Office Nationale de l'Electricite (ONE), the Moroccan electricity authority. Two models of univariate stochastic diffusion were used: the time-homogeneous Gompertz Diffusion Process (HGDP) and the time-non-homogeneous Gompertz Diffusion Process (NHGDP). The methodology proposed is based on the analysis of the trend function; this requires the analyst to obtain fits and forecasts for the consumption of electrical power by means of the estimated trend function (conditioned and non-conditioned). This latter function is obtained from the mean value of the process and the maximum likelihood estimators (MLE) of the parameters of the model. This estimation and the subsequent statistical inference are based on the discretised observation of the variable 'electricity consumption in Morocco', using annual data for the period 1980-2001. The fit and forecast are improved by using macroeconomic exogenous factors such as the gross domestic product per inhabitant (GDP/inhab), the final domestic consumption (FDC) and the gross fixed capital formation (GFCF). The results obtained show that NHGDP (with the above three exogenous factors) provides an adequate fit and medium-term forecast of electricity consumption in Morocco

  8. Re-investigating the electricity consumption and economic growth nexus in Portugal

    International Nuclear Information System (INIS)

    Tang, Chor Foon; Shahbaz, Muhammad; Arouri, Mohamed

    2013-01-01

    In the previous decades, a number of studies have been conducted to analyse the causal relationship between electricity consumption and economic growth in the Portuguese economy. However, the evidence remains controversial because the previous studies do not provide clear causality evidence. This might be attributed to the omitted variables bias because most previous studies only focus on the relationship between electricity consumption and economic growth in a bi-variate model. This paper attempts to re-investigate the relationship between electricity consumption and economic growth in Portugal using a multivariate model. Based on the bounds testing approach to cointegration and the Granger causality test within the vector error-correction model (VECM), our empirical results confirm the presence of cointegration among the variables. Moreover, there is evidence of bi-directional causality between electricity consumption and economic growth in the short- and long-run. This suggests that energy is an important source of economic growth in Portugal. Therefore, energy conservation policies should not be implemented because it would deteriorate the process of economic growth and development of the Portuguese economy. - Highlights: • Electricity consumption and economic growth series in Portugal are cointegrated. • There is evidence of feedback effects between the two variables. • Energy is an important source of economic growth in Portugal

  9. Multivariate Cointegration and Causality between Exports, Electricity Consumption and Real Income per Capita: Recent Evidence from Japan

    Directory of Open Access Journals (Sweden)

    Janesh Sami

    2011-01-01

    Full Text Available The current literature on the relationship between electricity, exports and economic growth is mixed. This paper examines the relationship between exports, electricity consumption and real income per capita in Japan using time series data from 1960-2007.We applied bounds testing procedure developed by Pesaran et al(2001 and found that there is cointegrating relationship between electricity consumption ,exports and economic growth. On establishing cointegration, the causal relationship electricity consumption, exports and economic investigation was investigated within a Vector Error Correction Model (VECM framework. We found that in the long run, there is causality from exports and real GDP per capita to electricity consumption.

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

    Energy Technology Data Exchange (ETDEWEB)

    Ilstad, S; Lund, I

    1983-01-01

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

  11. The impact of daylight saving time on electricity consumption: Evidence from southern Norway and Sweden

    Energy Technology Data Exchange (ETDEWEB)

    Mirza, Faisal Mehmood, E-mail: faisal.mirza@umb.no [Department of Economics and Resource Management, Norwegian University of Life Sciences (UMB), P.O. Box 5003, 1432 As (Norway); Bergland, Olvar, E-mail: olvar.bergland@umb.no [Department of Economics and Resource Management, Norwegian University of Life Sciences (UMB), P.O. Box 5003, 1432 As (Norway)

    2011-06-15

    This paper examines the impact of daylight saving time (DST) on electricity consumption in southern Norway and Sweden. As DST was implemented in both the countries in 1980, we do not have a clear counterfactual in the form of a control period to identify the impact of DST directly with before and after or with and without analysis. This problem in the study is resolved by using 'equivalent day normalization technique' to identify the impact of DST. The difference-in-difference (DID) average treatment effects model suggests an annual reduction of at least 1.0 percent in electricity consumption for both Norway and Sweden due to DST. The average annual electricity consumption reduction corresponding to DST effects equals 519 and 882 GWh for southern Norway and Sweden, resulting in an annual financial saving of 16.1 million Euros and 30.1 million Euros, respectively. The distribution of treatment effects across different hours of the day indicates a small but significant reduction in electricity consumption during the morning and a steep decline during the evening hours in both countries. - Highlights: > We assess the impact of DST on electricity consumption in southern Norway and Sweden. > DST reduces electricity consumption by 1.3 percent in both countries. > The impact is smaller during the morning hours but larger during evening hours. > Respective annual financial savings equal Euro 16.1 and 30.1 million for Norway and Sweden. > Average annual electricity savings equal 519 and 882 GWh for two countries, respectively.

  12. The impact of daylight saving time on electricity consumption: Evidence from southern Norway and Sweden

    International Nuclear Information System (INIS)

    Mirza, Faisal Mehmood; Bergland, Olvar

    2011-01-01

    This paper examines the impact of daylight saving time (DST) on electricity consumption in southern Norway and Sweden. As DST was implemented in both the countries in 1980, we do not have a clear counterfactual in the form of a control period to identify the impact of DST directly with before and after or with and without analysis. This problem in the study is resolved by using 'equivalent day normalization technique' to identify the impact of DST. The difference-in-difference (DID) average treatment effects model suggests an annual reduction of at least 1.0 percent in electricity consumption for both Norway and Sweden due to DST. The average annual electricity consumption reduction corresponding to DST effects equals 519 and 882 GWh for southern Norway and Sweden, resulting in an annual financial saving of 16.1 million Euros and 30.1 million Euros, respectively. The distribution of treatment effects across different hours of the day indicates a small but significant reduction in electricity consumption during the morning and a steep decline during the evening hours in both countries. - Highlights: → We assess the impact of DST on electricity consumption in southern Norway and Sweden. → DST reduces electricity consumption by 1.3 percent in both countries. → The impact is smaller during the morning hours but larger during evening hours. → Respective annual financial savings equal Euro 16.1 and 30.1 million for Norway and Sweden. → Average annual electricity savings equal 519 and 882 GWh for two countries, respectively.

  13. The energetic planning and the electric vehicles consumption

    International Nuclear Information System (INIS)

    Peres, Luiz Artur Pecorelli; Lambert Torres, Germano; Nogueira, Luiz Augusto Horta

    1999-01-01

    The central issue of debate was the need to align the energy sector's options and organization with changing global patterns of economic and social development, characterized by the increasing role played by the private sector, greater integration in the world economy, and new economic and social priorities, such as efficiency, decentralization, deregulation, and a closer attention to environmental issues. The aim of the work is to introduce a probabilistic methodology to analyze the impacts in the daily demand curve due to the electric vehicles use and batteries reload. Energy and environment impacts are also analyzed

  14. Impacts of Extreme Hot Weather Events on Electricity Consumption in Baden-Wuerttemberg

    Science.gov (United States)

    Mimler, S.

    2009-04-01

    Changes in electricity consumption due to hot weather events were examined for the German federal state Baden-Württemberg. The analysis consists of three major steps: Firstly, an analysis of the media coverage on the hot summer of 2003 gives direct and indirect information about changes in electricity demand due to changes in consumption patterns. On the one hand there was an overall increase in electricity demand due to the more frequent use of air conditionings, fans, cooling devices and water pumps. On the other hand shifts in electricity consumption took place due to modifications in daily routines: if possible, core working times were scheduled earlier, visitor streams in gastronomy and at events shifted from noon to evening hours, a temporal shifting of purchases took place in early morning or evening hours, and an increased night-activity was documented by a higher number of police operations due to noise disturbances. In a second step, some of the findings of the media analysis were quantified for households in the city region of Karlsruhe. For the chosen electric device groups refrigerators, mini-coolers, air conditionings, fans and electric stoves the difference between the consumption on a hot summer day and a normal summer day was computed. For this purpose, assumptions had to be made on the share of affected households, affected devices or usage patterns. These assumptions were summarized into three scenarios on low, medium and high heat induced changes in electricity consumption. In total, the quantification resulted in a range of about 7.5 to 9.2 % of heat-induced over-consumption related to the average amount of electrical load that is normally provided to Karlsruhe households on a summer's day. A third analysis of summer load curves aimed at testing the following hypotheses derived from the media analysis regarding changes in every-day routines and their effects on shifts in load profiles. To test the hypotheses, correlation tests were applied. (1

  15. Electricity consumption in school buildings - benchmark and web tools; Elforbrug i skoler - benchmark og webvaerktoej

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-07-01

    The aim of this project has been to produce benchmarks for electricity consumption in Danish schools in order to encourage electricity conservation. An internet programme has been developed with the aim of facilitating schools' access to benchmarks and to evaluate energy consumption. The overall purpose is to create increased attention to the electricity consumption of each separate school by publishing benchmarks which take the schools' age and number of pupils as well as after school activities into account. Benchmarks can be used to make green accounts and work as markers in e.g. energy conservation campaigns, energy management and for educational purposes. The internet tool can be found on www.energiguiden.dk. (BA)

  16. Effects of climate change on the production and consumption of electricity in Finland

    Energy Technology Data Exchange (ETDEWEB)

    Forsius, J.; Kuivalainen, P.; Maekinen, P. [Imatran Voima Oy, Helsinki (Finland). Environmental Protection Div.

    1996-12-31

    In the next few decades, the probable strengthening of the greenhouse effect may bring about considerable changes in energy production and consumption, which depend on climate. It is presumed that some of the changes will occur even if the rise in greenhouse gas concentration will be reduced. Because the investments in energy production have a long-term influence, decision-makers should have an idea about the impact of the strengthening of the greenhouse effect on energy production and consumption in Finland. According to the results of this study, the effects of climate change on the total consumption and production of electricity will be limited. The structure of both electricity consumption and production will remain rather similar, the most important changes applying to hydro power. The consumption of heating electricity will decrease substantially. Because the non- climate-dependent sectors of electricity consumption (process industry and services) account for more than a half of the total consumption, the effect on the total consumption is, however, rather small. The total annual hydropower production in Finland was estimated to be 2 % more both in the year 2025 and 2100 than at present. The annual mean discharges do not change very much compared to the present. The greatest difference in comparison with the present is the noticeable smoothing of the annual discharge variation. Particularly in Northern Finland the smoothing is considerable in average circumstances. In the scenario for the year 2100, in particular, the spring flood peak is, on average, significantly reduced, the flood peak takes place earlier and the average winter discharges increase

  17. Effects of climate change on the production and consumption of electricity in Finland

    Energy Technology Data Exchange (ETDEWEB)

    Forsius, J; Kuivalainen, P; Maekinen, P [Imatran Voima Oy, Helsinki (Finland). Environmental Protection Div.

    1997-12-31

    In the next few decades, the probable strengthening of the greenhouse effect may bring about considerable changes in energy production and consumption, which depend on climate. It is presumed that some of the changes will occur even if the rise in greenhouse gas concentration will be reduced. Because the investments in energy production have a long-term influence, decision-makers should have an idea about the impact of the strengthening of the greenhouse effect on energy production and consumption in Finland. According to the results of this study, the effects of climate change on the total consumption and production of electricity will be limited. The structure of both electricity consumption and production will remain rather similar, the most important changes applying to hydro power. The consumption of heating electricity will decrease substantially. Because the non- climate-dependent sectors of electricity consumption (process industry and services) account for more than a half of the total consumption, the effect on the total consumption is, however, rather small. The total annual hydropower production in Finland was estimated to be 2 % more both in the year 2025 and 2100 than at present. The annual mean discharges do not change very much compared to the present. The greatest difference in comparison with the present is the noticeable smoothing of the annual discharge variation. Particularly in Northern Finland the smoothing is considerable in average circumstances. In the scenario for the year 2100, in particular, the spring flood peak is, on average, significantly reduced, the flood peak takes place earlier and the average winter discharges increase

  18. A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran

    International Nuclear Information System (INIS)

    Azadeh, A.; Ghaderi, S.F.; Sohrabkhani, S.

    2008-01-01

    This study presents an integrated algorithm for forecasting monthly electrical energy consumption based on artificial neural network (ANN), computer simulation and design of experiments using stochastic procedures. First, an ANN approach is illustrated based on supervised multi-layer perceptron (MLP) network for the electrical consumption forecasting. The chosen model, therefore, can be compared to that of estimated by time series model. Computer simulation is developed to generate random variables for monthly electricity consumption. This is achieved to foresee the effects of probabilistic distribution on monthly electricity consumption. The simulated-based ANN model is then developed. Therefore, there are four treatments to be considered in analysis of variance (ANOVA), which are actual data, time series, ANN and simulated-based ANN. Furthermore, ANOVA is used to test the null hypothesis of the above four alternatives being statistically equal. If the null hypothesis is accepted, then the lowest mean absolute percentage error (MAPE) value is used to select the best model, otherwise the Duncan method (DMRT) of paired comparison is used to select the optimum model which could be time series, ANN or simulated-based ANN. In case of ties the lowest MAPE value is considered as the benchmark. The integrated algorithm has several unique features. First, it is flexible and identifies the best model based on the results of ANOVA and MAPE, whereas previous studies consider the best fitted ANN model based on MAPE or relative error results. Second, the proposed algorithm may identify conventional time series as the best model for future electricity consumption forecasting because of its dynamic structure, whereas previous studies assume that ANN always provide the best solutions and estimation. To show the applicability and superiority of the proposed algorithm, the monthly electricity consumption in Iran from March 1994 to February 2005 (131 months) is used and applied to

  19. Customer-economics of residential photovoltaic systems (Part 1): The impact of high renewable energy penetrations on electricity bill savings with net metering

    International Nuclear Information System (INIS)

    Darghouth, Naïm R.; Barbose, Galen; Wiser, Ryan H.

    2014-01-01

    Residential photovoltaic (PV) systems in the US are often compensated at the customer's underlying retail electricity rate through net metering. Given the uncertainty in future retail rates and the inherent links between rates and the customer–economics of behind-the-meter PV, there is growing interest in understanding how potential changes in rates may impact the value of bill savings from PV. In this article, we first use a production cost and capacity expansion model to project California hourly wholesale electricity market prices under two potential electricity market scenarios, including a reference and a 33% renewables scenario. Second, based on the wholesale electricity market prices generated by the model, we develop retail rates (i.e., flat, time-of-use, and real-time pricing) for each future scenario based on standard retail rate design principles. Finally, based on these retail rates, the bill savings from PV is estimated for 226 California residential customers under two types of net metering, for each scenario. We find that high renewable penetrations can drive substantial changes in residential retail rates and that these changes, together with variations in retail rate structures and PV compensation mechanisms, interact to place substantial uncertainty on the future value of bill savings from residential PV. - Highlights: • We investigate the impact of high renewables on customer economics of solar. • We model three types of residential retail electricity rates. • Based on the rates, we calculate the bill savings from photovoltaic (PV) generation. • High renewables penetration can lead to lower bill savings with time-varying rates. • There is substantial uncertainty in the future bill savings from residential PV

  20. Energy in the residential building. Electricity, heat, e-mobility. 2. rev. and enl. ed.; Energie im Wohngebaeude. Strom, Waerme, E-Mobilitaet

    Energy Technology Data Exchange (ETDEWEB)

    Schwarzburger, Heiko

    2017-11-01

    Photovoltaics, heat pumps and fuel cells offer enormous potential for sustainable energy supply in residential buildings. Solar thermal energy and wood-fired boilers also play an important role in refurbishment. Due to the wide range of possible combinations, the wishes of building owners and homeowners for an ecologically and economically individually adapted energy concept can be fulfilled accurately. This book provides you with a holistic approach to the residential building and its supply of electricity, heat and water. All processes that play a role in the house's energy consumption are examined in their entirety for their potentials and potential savings. The author analyses and describes in detail the resources of buildings and their surroundings - and how they can be used for a truly independent supply. The focus is on reducing energy consumption and costs, the generation and supply of energy from renewable sources and energy storage - considered in new construction and modernisation. The supply of water is also dealt with if it touches on energy issues. The author draws attention to standards and regulations and gives practical advice for planning and installation. The focus is on the so-called sector coupling: electricity from the sun, wind and hydrogen is used to supply electrical consumers in the home, charging technology for electric vehicles, hot water and heating. The time of the boilers and combustion engines has elapsed. Clean electricity and digital controls - power and intelligence - determine the regenerative building technology. [German] Photovoltaik, Waermepumpen und Brennstoffzellen bieten enormes Potenzial, die Energieversorgung im Wohngebaeude nachhaltig zu gestalten. In der Sanierung spielen auch Solarthermie und Holzfeuerungen eine wichtige Rolle. Aufgrund der vielfaeltigen Kombinationsmoeglichkeiten lassen sich die Wuensche der Bauherren und Hausbesitzer nach einem oekologisch und oekonomisch individuell angepassten Energiekonzept

  1. Economic impacts of current harmonic from nonlinear loads on residential electricity distribution networks; Impactos economicos dos harmonicos de corrente das cargas nao lineares em redes eletricas de distribuicao residenciais

    Energy Technology Data Exchange (ETDEWEB)

    Duarte, Carlos Henrique

    2010-04-15

    To achieve more efficient energy use, power electronics systems (PES) may be employed. However, this introduce nonlinear loads into the system by generating undesired frequencies that are harmonic in relation to (multiples of) the fundamental frequency (60 Hz in Brazil). Consequently, devices using PES (power electronics systems) are more efficient but also contribute significantly to degradation of power quality. Besides this, both the conventional rules on design and operation of power systems and the usual premises followed in energy efficiency programs (without mentioning the electricity consumed by the devices themselves) consider the sinusoidal voltage and current waveforms at the fixed fundamental frequency (60 Hz in Brazil) of the power grid. Thus, analysis of electricity consumption reductions in energy efficiency programs that include the use of PES considers the reduction of kWh to the final consumer but not the additional losses caused by the increase in harmonic distortion. This dissertation investigates this problem by exploring a case study of the ownership and use of television sets (TV sets) to estimate the economic impacts of residential PES on a mainly residential electricity distribution system. (author)

  2. Hybrid Electric Vehicles: Some Theoretical Considerations on Consumption Behaviour

    Directory of Open Access Journals (Sweden)

    Fabio Carlucci

    2018-04-01

    Full Text Available Solving the problem of the lack of environmental sustainability in transport activities requires the involvement of new technologies, particularly in populated cities where mobility activities play a major role in generating externalities. The move from cars powered by conventional internal combustion engines to cars powered by alternative energies can make an important contribution to reducing emissions and achieving a more sustainable transport system. Unfortunately, green car market development still remains uncertain because of the higher production costs of batteries and engines. In this context, surprisingly little attention has been devoted to analysing the economic factors affecting consumers’ behaviour in the choice of hybrid electric vehicles. To fill this gap, the diffusion process of hybrid technology as well as intrinsic and extrinsic motivations and the crowding-out effect on consumers’ purchasing decisions are taken under consideration. Finally, some policy recommendations are provided.

  3. The Fuzzy Logic Method to Efficiently Optimize Electricity Consumption in Individual Housing

    Directory of Open Access Journals (Sweden)

    Sébastien Bissey

    2017-10-01

    Full Text Available Electricity demand shifting and reduction still raise a huge interest for end-users at the household level, especially because of the ongoing design of a dynamic pricing approach. In particular, end-users must act as the starting point for decreasing their consumption during peak hours to prevent the need to extend the grid and thus save considerable costs. This article points out the relevance of a fuzzy logic algorithm to efficiently predict short term load consumption (STLC. This approach is the cornerstone of a new home energy management (HEM algorithm which is able to optimize the cost of electricity consumption, while smoothing the peak demand. The fuzzy logic modeling involves a strong reliance on a complete database of real consumption data from many instrumented show houses. The proposed HEM algorithm enables any end-user to manage his electricity consumption with a high degree of flexibility and transparency, and “reshape” the load profile. For example, this can be mainly achieved using smart control of a storage system coupled with remote management of the electric appliances. The simulation results demonstrate that an accurate prediction of STLC gives the possibility of achieving optimal planning and operation of the HEM system.

  4. Energy saving or privatization? The case of the electric residential sector of Mexico; Ahorro de energia o privatizacion? El caso del sector electrico residencial de Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Friedmann, Rafael [University of California, Berkeley, CA (United States)

    1994-12-31

    The validity of the premise that proposes the privatization of the electric sector as a solution to the problem of obtaining enough investment capital for the continuous expansion of the electric sector is examined. It is shown that the growth of the demand foreseen for the residential sector for year 2000, can be totally reduced by introducing technologies economically feasible to increase the efficiency and end uses of the residential electricity. With the efficient use of the electricity, the economical development is allowed for the residential sector, without large increments of the residential electricity demand. [Espanol] Se examina la validez de la premisa que propone la privatizacion del sector electrico como una solucion al problema de conseguir suficientes capitales de inversion para la continua expansion del sector. Se muestra que se puede reducir casi totalmente el crecimiento en la demanda prevista del sector residencial al ano 2000, introduciendo tecnologias economicamente factibles para aumentar la eficiencia en los usos finales de electricidad residencial. Con el uso eficiente de la electricidad, se permite el desarrollo economico del sector residencial sin grandes incrementos en la demanda residencial de electricidad.

  5. Energy saving or privatization? The case of the electric residential sector of Mexico; Ahorro de energia o privatizacion? El caso del sector electrico residencial de Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Friedmann, Rafael [University of California, Berkeley, CA (United States)

    1993-12-31

    The validity of the premise that proposes the privatization of the electric sector as a solution to the problem of obtaining enough investment capital for the continuous expansion of the electric sector is examined. It is shown that the growth of the demand foreseen for the residential sector for year 2000, can be totally reduced by introducing technologies economically feasible to increase the efficiency and end uses of the residential electricity. With the efficient use of the electricity, the economical development is allowed for the residential sector, without large increments of the residential electricity demand. [Espanol] Se examina la validez de la premisa que propone la privatizacion del sector electrico como una solucion al problema de conseguir suficientes capitales de inversion para la continua expansion del sector. Se muestra que se puede reducir casi totalmente el crecimiento en la demanda prevista del sector residencial al ano 2000, introduciendo tecnologias economicamente factibles para aumentar la eficiencia en los usos finales de electricidad residencial. Con el uso eficiente de la electricidad, se permite el desarrollo economico del sector residencial sin grandes incrementos en la demanda residencial de electricidad.

  6. Analysis of Electrical Power Consumption in Container Crane of Container Terminal Surabaya

    Directory of Open Access Journals (Sweden)

    A.A. Masroeri

    2017-12-01

    Full Text Available Container crane electrification is a re-powering process of container cranes from diesel to electricity. In electrification process, it is required an analysis of electrical power consumption that is needed in the operational of container crane. It aims to determine whether the amount of electrical power that is supplied by PLN can be optimally used in the operational of container crane to do loading and unloading activities. To perform the analysis of electrical power consumption, it is required various data and calculations. The required data are container crane specifications and other electrical equipment specifications, the amount of electrical power that is supplied by PLN, also the single line diagram from the electrical system at the port. While, the calculations that is needed to be performed are the calculation of electrical power load in motors and other electrical equipments, the calculation of nominal current and start current, the selection of cable and busbar, and the calculation of wiring diagram junction power. From the calculations that has been done, then the next step is to do the load flow analysis simulation by using software simulation, so an accurate and effective load flow analysis can be obtained to optimize loading and unloading activities at the port. The result of this research, it can be seen that container crane electrification will give advantages in both technical and economical for the company and for the ship, such as accelerate the loading and unloading time of containers and reduce idle time, especially in the operational of diesel generator.

  7. Climate, weather, socio-economic and electricity usage data for the residential and commercial sectors in FL, U.S

    Directory of Open Access Journals (Sweden)

    Sayanti Mukherjee

    2017-08-01

    Full Text Available This paper presents the data that is used in the article entitled “Climate sensitivity of end-use electricity consumption in the built environment: An application to the state of Florida, United States” (Mukhopadhyay and Nateghi, 2017 [1]. The data described in this paper pertains to the state of Florida (during the period of January 1990 to November 2015. It can be classified into four categories of (i state-level electricity consumption data; (ii climate data; (iii weather data; and (iv socio-economic data. While, electricity consumption data and climate data are obtained at monthly scale directly from the source, the weather data was initially obtained at daily-level, and then aggregated to monthly level for the purpose of analysis. The time scale of socio-economic data varies from monthly-level to yearly-level. This dataset can be used to analyze the influence of climate and weather on the electricity demand as described in Mukhopadhyay and Nateghi (2017 [1].

  8. Prediction of electric energy consumption in Cuba for the period 2000-2015

    International Nuclear Information System (INIS)

    Garcia Rodirguez, B

    1999-01-01

    This paper consists on a prediction of the growth in electric energy consumption in Cuba, for the period 2000-2015 and with respect to 1990, it also considers the specific features of the National Electroenergetic System. Validated Guidelines in accordance with the Delphi method, which incorporates the basis characteristics considered by international programs for these predictions, were used for this purpose. From the analysis of the behaviour in power consumption of the different consumers and of the expected changes in them according to the expected scenarios, a prediction on the growth in the demand of electric energy is made

  9. The effect of the Fukushima accident on the electricity production and consumption in Japan

    International Nuclear Information System (INIS)

    Livet, Frederic

    2013-01-01

    Based on statistics of the Japanese electricity production and consumption, the author analyses their evolution from 2008 to 2013 in order to study the influence of the Fukushima accident. If nuclear production fell down from its 25 per cent share, electricity consumption remained almost steady, in spite of Government calls for its reduction. This loss of nuclear production has been balanced by an increased use of fossil fuels (coal, oil products, and natural gas). The author also comments the evolution of CO 2 emissions which therefore increased after the accident, and the impact of these evolutions on the Japanese trade balance

  10. 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

  11. Electricity consumption and economic growth in the GCC countries: Panel data analysis

    International Nuclear Information System (INIS)

    Osman, Mohamed; Gachino, Geoffrey; Hoque, Ariful

    2016-01-01

    Applying recent advances in panel data analysis, we investigate the relationship between electricity consumption and economic growth in the GCC countries using annual data from 1975 to 2012. Within a framework which takes into consideration dynamics, heterogeneity and cross-sectional dependence in the panel, we show that the results obtained from using the PMGE, demeaned PMG, AMG, MGE and DFE models indicate a long-run equilibrium relationship between electricity consumption and economic growth. In order to determine the appropriate model and decide the preferred estimator, the Hausman test was performed. The PMGE model emerged as the most efficient of the three estimators. Also, the results obtained revealed a bi-directional causality between economic growth and electricity consumption in these countries, which supports the feedback hypothesis. As a result, this implies that if these countries adopt or implement any energy or electricity conservation policies, this may have a negative impact on its economic growth. - Highlights: • The relationship between electricity consumption and GDP is explored. • Panel data econometric analysis is used to obtain the results. • Bidirectional causality between these variables is observed. • The results support the feedback hypothesis in the GCC countries.

  12. Investigating the water consumption for electricity generation at Turkish power plants

    Science.gov (United States)

    El-Khozondar, Balkess; Aydinalp Koksal, Merih

    2017-11-01

    The water-energy intertwined relationship has recently gained more importance due to the high water consumption in the energy sector and to the limited availability of the water resources. The energy and electricity demand of Turkey is increasing rapidly in the last two decades. More thermal power plants are expected to be built in the near future to supply the rapidly increasing demand in Turkey which will put pressure on water availability. In this study, the water consumption for electricity generation at Turkish power plants is investigated. The main objectives of this study are to identify the amount of water consumed to generate 1 kWh of electricity for each generation technology currently used in Turkey and to investigate ways to reduce the water consumption at power plants expected to be built in the near future to supply the increasing demand. The various electricity generation technology mixture scenarios are analyzed to determine the future total and per generation water consumption, and water savings based on changes of cooling systems used for each technology. The Long-range Energy Alternatives Planning (LEAP) program is used to determine the minimum water consuming electricity generation technology mixtures using optimization approaches between 2017 and 2035.

  13. Prediction of pollutant emission through electricity consumption by the hotel industry in Hong Kong

    International Nuclear Information System (INIS)

    Chan, W.W.; Lam, J.C.

    2002-01-01

    This paper estimates the quantity of pollutants produced by the hotel industry through its electricity consumption. A survey of 17 hotels in Hong Kong was carried out to collect 3 years of energy consumption data. Regression analysis indicated that gross floor area was a major and statistically accepted factor in explaining the electricity consumption in hotels. It was found that the average electricity consumption was about 342 kW h/m 2 /year. Then, based on some established pollutant emission factors of coal and natural gas, the amount of sulphur dioxide, nitrogen dioxides, carbon dioxides and particulates created by the hotel industry's electricity usage during a 10-year period from 1988 to 1997 was estimated. The study further predicts the increase in these amounts in 1998 - 2003 accompanying the rise in the number of hotel properties. The findings indicate that the existing green measures and devices are inadequate to cope with the increase in pollution emission in the near future. We believe that the hotel industry should adopt a more proactive approach to reduce electricity usage and propose the inclusion of environmental reporting in trade journals. (author)

  14. Prediction of pollutant emission through electricity consumption by the hotel industry in Hong Kong

    Energy Technology Data Exchange (ETDEWEB)

    Chan, W.W. [Hong Kong Polytechnic University, (China). School of Hotel and Tourism Management; Lam, J.C. [City University of Hong Kong (China). Department of Building and Construction

    2002-12-01

    This paper estimates the quantity of pollutants produced by the hotel industry through its electricity consumption. A survey of 17 hotels in Hong Kong was carried out to collect 3 years of energy consumption data. Regression analysis indicated that gross floor area was a major and statistically accepted factor in explaining the electricity consumption in hotels. It was found that the average electricity consumption was about 342 kW h/m{sup 2}/year. Then, based on some established pollutant emission factors of coal and natural gas, the amount of sulphur dioxide, nitrogen dioxides, carbon dioxides and particulates created by the hotel industry's electricity usage during a 10-year period from 1988 to 1997 was estimated. The study further predicts the increase in these amounts in 1998 - 2003 accompanying the rise in the number of hotel properties. The findings indicate that the existing green measures and devices are inadequate to cope with the increase in pollution emission in the near future. We believe that the hotel industry should adopt a more proactive approach to reduce electricity usage and propose the inclusion of environmental reporting in trade journals. (author)

  15. Value of an option to purchase electric power. The case of uncertain consumption

    International Nuclear Information System (INIS)

    Bhanot, Karan

    2002-01-01

    Large manufacturers and corporations often purchase options on power to protect themselves against unanticipated price increases. This paper analyzes the impact of uncertainty in power consumption by a corporation on the value of an option to purchase electric power. Because there is no economically viable method to store power, these options are exercised to satisfy immediate consumption needs only. The amount exercised may differ from the maximum amount contracted, which in turn alters the payoffs that accrue to the option contract. We apply a Monte Carlo methodology to show that 'consumption uncertainty' may substantively lower the price of an option contract under different conditions

  16. Development of a High-Fidelity Model for an Electrically Driven Energy Storage Flywheel Suitable for Small Scale Residential Applications

    Directory of Open Access Journals (Sweden)

    Mustafa E. Amiryar

    2018-03-01

    Full Text Available Energy storage systems (ESS are key elements that can be used to improve electrical system efficiency by contributing to balance of supply and demand. They provide a means for enhancing the power quality and stability of electrical systems. They can enhance electrical system flexibility by mitigating supply intermittency, which has recently become problematic, due to the increased penetration of renewable generation. Flywheel energy storage systems (FESS are a technology in which there is gathering interest due to a number of advantages offered over other storage solutions. These technical qualities attributed to flywheels include high power density, low environmental impact, long operational life, high round-trip efficiency and high cycle life. Furthermore, when configured in banks, they can store MJ levels of energy without any upper limit. Flywheels configured for grid connected operation are systems comprising of a mechanical part, the flywheel rotor, bearings and casings, and the electric drive part, inclusive of motor-generator (MG and power electronics. This contribution focusses on the modelling and simulation of a high inertia FESS for energy storage applications which has the potential for use in the residential sector in more challenging situations, a subject area in which there are few publications. The type of electrical machine employed is a permanent magnet synchronous motor (PMSM and this, along with the power electronics drive, is simulated in the MATLAB/Simulink environment. A brief description of the flywheel structure and applications are given as a means of providing context for the electrical modelling and simulation reported. The simulated results show that the system run-down losses are 5% per hour, with overall roundtrip efficiency of 88%. The flywheel speed and energy storage pattern comply with the torque variations, whilst the DC-bus voltage remains constant and stable within ±3% of the rated voltage, regardless of

  17. Predicting electricity consumption and cost for South African mines / S.S. (Stephen) Cox.

    OpenAIRE

    Cox, Samuel Stephen

    2013-01-01

    Electricity costs in South Africa have risen steeply; there are a number of factors that have contributed to this increase. The increased costs have a considerable inuence on the mines and mining sector in general. It requires considerable planning to assist mines in such management. The present study addresses the development of a way to predict both electricity consumption and costs, which general involves a large range of personnel. The majority of planning personnel can be more usefull...

  18. Using Economic Incentives to Reduce Electricity Consumption: A field Experiment in Matsuyama, Japan

    OpenAIRE

    Kenichi Mizobuchi; Kenji Takeuchi

    2012-01-01

    This study examines the effectiveness of economic incentives in promoting electricity-conservation behavior among Japanese households. Fifty-three Japanese households participated in a field experiment and were offered monetary rewards depending on their rate of reduction in electricity consumption. To avoid bias in sample selection, which is typically present in previous studies, we adopted a request-based approach for recruiting participants. Results showed that only 34% of the participants...

  19. Baseline test data for the EVA electric vehicle. [low energy consumption automobiles

    Science.gov (United States)

    Harhay, W. C.; Bozek, J.

    1976-01-01

    Two electric vehicles from Electric Vehicle Associates were evaluated for ERDA at the Transportation Research Center of Ohio. The vehicles, loaded to a gross vehicle weight of 3750 pounds, had a range of 56.3 miles at a steady speed of 25 mph and a 27.4 miles range during acceleration-deceleration tests to a top speed of 30 mph. Energy consumption varied from 0.48 kw-hr/mi. to 0.59 kw-hr/mi.

  20. Price sensitive electric power consumption in households. Final report; Prisfoelsomt elforbrug i husholdninger. Slutrapport

    Energy Technology Data Exchange (ETDEWEB)

    Togeby, M.; Hay, C. (Ea Energianalyse A/S, Copenhagen (Denmark))

    2009-08-15

    To gain experience with electric power consumption in households based on demand response a demonstration project was carried out for households with electric heating. More than 500 households with high power consumption (over 15,000 kWh / yr) participated. Participating households were divided into four groups: 1) a group with automation equipment ('Devi') installed, which automatically controls the electric heating in relation to electricity price signals based on pre-defined standards, 2) a group with electronics equipment ('Electronic House Keeper') installed which can show price signals so that the participant himself can control the electric heating in relation thereto, 3) a group who daily received an e-mail or a text message indicating the fluctuations in electricity prices, so that the participant can control the electric heating in relation to the received information, 4) a control group who did not have knowledge of or participated in the experiment. The main results of the project are that consumption must be controlled through automation. A real impact of the experiment can only be seen for the Devi group, which had automation equipment installed, and not for the email / text message group who had to manually respond to price signals. There must be opportunities for higher degree of differentiation. The automatics should be coupled to multiple thermostats, and the control should be detailed, for example, with control based on the individual thermostat in each room. The thermal comfort is essential. The participants want to manage and move their electricity consumption directly via 'Electronic House Keeper'. They would welcome the opportunity to have all household appliances connected to the solution, making it possible to turn on / off these depending on prices. Good information and communication are crucial to participants' motivation. (ln)

  1. Electric and hydrogen consumption analysis in plug-in road vehicles

    Energy Technology Data Exchange (ETDEWEB)

    Ribau, Joao P.; Silva, Carla M.; Faria, Tiago L. [IDMEC, Instituto Superior Tecnico, Technical University of Lisbon, Department of Mechanical Engineering, Av. Rovisco Pais, 1 Pav. Mecanica I, 2 andar, 1049-001 Lisboa (Portugal)

    2010-07-01

    The main goal of the present study is to analyze some of the capabilities and behavior of two types of plug-in cars: battery electric and hydrogen fuel cell hybrid electric, facing different driving styles, different road gradients, different occupation rates, different electrical loads, and different battery's initial state of charge. In order to do that, four vehicles with different power/weight (kW/kg) ratio (0.044 to 0.150) were simulated in the software ADVISOR, which gives predictions of energy consumption, and behavior of vehicle's power train components (including energy regeneration) along specified driving cycles. The required energy, electricity and/or hydrogen, to overcome the specified driving schedules, allowed to estimate fuel life cycle's CO2 emissions and primary energy. A vehicle with higher power/weight ratio (kW/kg) demonstrated to be less affected in operation and in variation of the energy consumption, facing the different case studies, however may have higher consumptions in some cases. The autonomy, besides depending on the fuel consumption, is directly associated with the type and capacity (kWh) of the chosen battery, plus the stored hydrogen (if fuel cell vehicles are considered, PHEV-FC). The PHEV-FC showed to have higher autonomy than the battery vehicles, but higher energy consumption which is extremely dependent on the type and ratio of energy used, hydrogen or electricity. An aggressive driving style, higher road gradient and increase of weight, required more energy and power to the vehicle and presented consumption increases near to 77%, 621%, 19% respectively. Higher electrical load and battery's initial state of charge, didn't affect directly vehicle's dynamic. The first one drained energy directly from the battery plus demanded a fraction of its power, with energy consumption maximum increasing near 71%. The second one restricted the autonomy without influence directly the energy consumption per

  2. Electric power of residential photovoltaic power system; Jutakuyo taiyoko hatsuden system no hatsudenryo

    Energy Technology Data Exchange (ETDEWEB)

    Asano, K.; Kawamura, H.; Yamanaka, S.; Kawamura, H.; Ono, H.; Hayashi, K.; Naganawa, H. [Meijo University, Nagoya (Japan); Asai, H.

    1996-10-27

    Measurement was done on the annual power generation of a residential photovoltaic power system that was most suitable for the present situation in utilizing solar energy; and an examination was made on the basis of the data of a module in which an optimal operation load control was separately installed in order to operate the system more effectively. As a result, it was found that the introduction of a 3kW class system was currently most desirable as a residential photovoltaic power system, and that the problem of the optimal operation load control was crucial for the more efficient power generation. The resistance value of the optimal operation load was stable between 6 and 8 ohm in the daytime in fine weather. However, it was observed that, where no sufficient insolation was expected, the optimal operation load was ten times as much as in fine weather, being easily influenced by the environmental elements. In addition, it was revealed that, if the operation load was fixed at a specific value (6 ohm) in a clear day, the power generation was only about 85% compared with the case of controlling the optimal operation load. This figure was obtained under comparatively favorable conditions, however. 8 refs., 7 figs.

  3. The Increase of Power Efficiency of Underground Coal Mining by the Forecasting of Electric Power Consumption

    Science.gov (United States)

    Efremenko, Vladimir; Belyaevsky, Roman; Skrebneva, Evgeniya

    2017-11-01

    In article the analysis of electric power consumption and problems of power saving on coal mines are considered. Nowadays the share of conditionally constant costs of electric power for providing safe working conditions underground on coal mines is big. Therefore, the power efficiency of underground coal mining depends on electric power expense of the main technological processes and size of conditionally constant costs. The important direction of increase of power efficiency of coal mining is forecasting of a power consumption and monitoring of electric power expense. One of the main approaches to reducing of electric power costs is increase in accuracy of the enterprise demand in the wholesale electric power market. It is offered to use artificial neural networks to forecasting of day-ahead power consumption with hourly breakdown. At the same time use of neural and indistinct (hybrid) systems on the principles of fuzzy logic, neural networks and genetic algorithms is more preferable. This model allows to do exact short-term forecasts at a small array of input data. A set of the input parameters characterizing mining-and-geological and technological features of the enterprise is offered.

  4. ANALYSIS OF GROSS REGIONAL PRODUCT FLUCTUATIONS AND ELECTRIC POWER CONSUMPTION IN 2005- 2014. RESERVES FOR DECREASING ELECTRIC POWER PRICES

    Directory of Open Access Journals (Sweden)

    Suslov N. I.

    2016-09-01

    Full Text Available In this work we considered the trajectories of change in indicators characterizing the status of economics and power industry: gross regional product, electric power consumption, industrial production, energy prices and costs of delivering electric power to consumers in Russian regions for the last 10 years. Low global commodity prices and sanctions led to a sharp decrease of equipment import, which resulted in an acute problem of import substitution. The level of tariffs of natural monopolies is of great importance for industrial development. The goal of this work was to analyze possibilities for reducing electric power prices by changing the institutional and economic conditions of management. We analyzed not only the official information from Rosstat, but also government regulations, figures given in the official government publication «The Rossiyskaya Gazeta» as well as articles and interviews on economic problems of the electric power industry over the recent years published in «The Kommersant» newspaper. High tariffs of network marketing companies for electric energy transmission, state regulation of heating prices, financing the construction of new capacities by charging the payment in power provision contracts, high price of electric power of nuclear power plants lead to an annual increase in electric power prices for end users. In this work we considered possible solutions to limit the growth of electric power prices.

  5. Advisory report on licence requirements for the marketing of natural gas and electricity to residential and small commercial consumers

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-10-06

    The proposed Ontario Energy Board Act, 1998 which forms part of Bill 35, would make it possible for the Board to make regulations prescribing license requirements and conditions for sellers of natural gas and electricity to residential and small commercial users. Interested stakeholders were invited to provide their input on the proposed Act. A total of 23 parties responded by submitting their comments to the Ontario Energy Board. This document presents the concerns of several parties regarding various provisions of the proposed regulatory regime affecting energy marketing. Comments on the definition of `low volume customer`, on classes of gas marketers, need and requirements for gas marketer`s licence, the form and posting of security bonds by prospective gas marketers, exemptions from licensing, conditions of licensing, code of conduct for energy marketers, disclosure of customer information, were some of the proposed provisions that elicited comments.

  6. Advisory report on licence requirements for the marketing of natural gas and electricity to residential and small commercial consumers

    International Nuclear Information System (INIS)

    1998-01-01

    The proposed Ontario Energy Board Act, 1998 which forms part of Bill 35, would make it possible for the Board to make regulations prescribing license requirements and conditions for sellers of natural gas and electricity to residential and small commercial users. Interested stakeholders were invited to provide their input on the proposed Act. A total of 23 parties responded by submitting their comments to the Ontario Energy Board. This document presents the concerns of several parties regarding various provisions of the proposed regulatory regime affecting energy marketing. Comments on the definition of 'low volume customer', on classes of gas marketers, need and requirements for gas marketer's licence, the form and posting of security bonds by prospective gas marketers, exemptions from licensing, conditions of licensing, code of conduct for energy marketers, disclosure of customer information, were some of the proposed provisions that elicited comments

  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. Electricity Consumption Forecasting Scheme via Improved LSSVM with Maximum Correntropy Criterion

    Directory of Open Access Journals (Sweden)

    Jiandong Duan

    2018-02-01

    Full Text Available In recent years, with the deepening of China’s electricity sales side reform and electricity market opening up gradually, the forecasting of electricity consumption (FoEC becomes an extremely important technique for the electricity market. At present, ho