WorldWideScience

Sample records for residential electric 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. Estimating Response to Price Signals in Residential Electricity Consumption

    OpenAIRE

    Huang, Yizhang

    2013-01-01

    Based on a previous empirical study of the effect of a residential demand response program in Sala, Sweden, this project  investigated the economic consequences of consumer behaviour change after a demand-based time of use distribution tariff was employed. The economic consequences of consumers were proven to be disadvantageous in terms of unit electricity price. Consumers could achieve more electricity bill saving through stabilising their electricity consumption during peak hours, and this ...

  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. FORECASTING RESIDENTIAL ELECTRICITY CONSUMPTION IN BRAZIL: APPLICATION OF THE ARX MODEL

    Directory of Open Access Journals (Sweden)

    Joao Bosco de Castro

    2010-11-01

    Full Text Available This work aims to propose the application of the ARX model to forecast residential electricity consumption in Brazil. Such estimates are critical for decision making in the energy sector,  from a technical, economic and environmentally sustainable standpoint. The demand for electricity follows a multiplicative model based on economic theory and involves four explanatory variables: the cost of residential electricity, the actual average income, the inflation of domestic utilities and the electricity consumption. The coefficients of the electricity consumption equation  were determined using the ARX model, which considers the influence of exogenous variables to estimate the dependent variable and employs an autoregression process for residual modeling to improve the explanatory power. The resulting model has a determination coefficient of 95.4 percent and all estimated coefficients were significant at the 0.10 descriptive level. Residential electricity consumption estimates were also determined for January and February 2010 within the 95 percent confidence interval, which included the actual consumption figures observed. The proposed model has been shown to be useful for estimating residential electricity consumption  in Brazil. Key-words: Time series. Electricity consumption. ARX modeling. 

  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. Roles of income, price and household size on residential electricity consumption: Comparison of Hawaii with similar climate zone states

    Directory of Open Access Journals (Sweden)

    Melek Yalcintas

    2017-11-01

    Linear regression analysis indicates that household size is an important variable in determining the residential electricity consumption in Oahu, however is not a determining factor in other islands. It was also observed that unlike Oahu, income and price alone are not good indicators of residential electricity consumption for the islands of Hawaii, Maui and Kauai.

  10. Assessment of the impact of energy-efficient household appliances on the electricity consumption in the residential sector of Brazil

    Energy Technology Data Exchange (ETDEWEB)

    Morishita, Claudia; Ghisi, Enedir

    2010-09-15

    In many countries the residential sector accounts for about 20.0% of the electricity consumption, which increases the concern about energy savings. The main objective of this paper is to assess the impact of energy-efficient household appliances on the electricity consumption of the Brazilian residential sector by using electricity end-use data. The consumption of each appliance is obtained based on official data from existing studies, being estimated for a dwelling and for the whole residential sector. Results indicate that the potential for energy savings by replacing existing appliances with energy-efficient household appliances would be 29.5% in the residential sector of Brazil.

  11. 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.

  12. 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

  13. 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.

  14. 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)

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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...... has not been evaluated under real market conditions, especially under PV self-consumption schemes. In this study, we investigate the self-consumption of electricity generation from conventional and organic PV systems installed at residential houses in two different countries, Denmark and Greece, under...... applying to all PV technologies show that PV systems installed at residential houses in Greece perform economically better than those in Denmark do in terms of self-sufficiency and gross electricity bill savings (i.e. excluding PV costs). Using the two country cases, which present very different settings...

  20. 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.

  1. 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.

  2. 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.

  3. Increasing self-consumption of photovoltaic electricity by storing energy in electric vehicle using smart grid technology in the residential sector. A model for simulating different smart grid programs

    NARCIS (Netherlands)

    Kam, M. van der; Sark, W.G.J.H.M. van

    2014-01-01

    In this paper a model has been developed which intends to simulate the increase of self-consumption of photovoltaic (PV)-power by storing energy in electric vehicle (EV) using smart grid technology in the residential sector. Three different possible smart grid control algorithms for a micro-grid

  4. 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.

  5. 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.

  6. 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

  7. Detailed residential electric determination

    Energy Technology Data Exchange (ETDEWEB)

    1984-06-01

    Data on residential loads has been collected from four residences in real time. The data, measured at 5-second intervals for 53 days of continuous operation, were statistically characterized. An algorithm was developed and incorporated into the modeling code SOLCEL. Performance simulations with SOLCEL using these data as well as previous data collected over longer time intervals indicate that no significant errors in system value are introduced through the use of long-term average data.

  8. 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.

  9. 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

    Increased renewable electricity production, coupled with emerging sectors of electricity consumption such as electric vehicles, has led to the desire to shift the times of the day electricity is consumed to better match generation. Different methods have been proposed to shift residential electri...

  10. 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.

  11. 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.

  12. 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

  13. 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.

  14. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Clark, Y.Y.; Vincent, W.

    1987-06-01

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

  16. 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.

  17. 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.

  18. 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

  19. 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.

  20. 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. (author)

  1. 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

  2. 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

  3. 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...

  4. 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)

  5. 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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1981-10-01

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

  7. 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)

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

    Directory of Open Access Journals (Sweden)

    Farajallah Alrashed

    2014-12-01

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

  9. 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)

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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

  15. 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

  16. 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.

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

    DEFF Research Database (Denmark)

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

    2017-01-01

    The electrification of residential energy demand for heating and transportation is expected to increase peak load and require additional generation and transmission capacities. Electrification also provides an opportunity to increase demand response. With a focus on household electricity......, for an individual household, the consumption of each of these technologies roughly doubles the household's consumption and considerably increases their potential for flexibility. Thus, in order to introduce incentives for demand flexibility, while considering reducing peak consumption, policy makers should...... 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...

  18. Stochastic estimation of electricity consumption

    International Nuclear Information System (INIS)

    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)

  19. 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.

  20. Methodology to determine the consumption and potential of saving of electrical energy in the systems of air-conditioning in the residential sector: case the Northwest of Mexico; Metodologia para determinar el consumo y potencial de ahorro de energia electrica en los sistemas de climatizacion en el sector residencial: caso Noroeste de Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Rosas Flores, J. A.; Morillon Galvez, D.

    2008-07-01

    In this work there are studied the characteristics of the consumption of electrical residential energy due to the systems of air conditioning and to cos mell, in the region Northwest of Mexico (Sonora, Sinaloa, Baja California Norte, Baja California Sur, and Nayarit) and the North region (Coahuila, Chihuahua, Durango, Nuevo Leon). Between the principal results one finds that the potential saving of electrical energy, with base in the use of passive systems as the isolation of the housings, decided in 3,356 GWh (similar to the electrical annual supply that there needs the state of Durango or Guerrero). (Author)

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. 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.

  6. 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

  7. 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.

  8. 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.

  9. 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....

  10. 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.

  11. 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

  12. 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)

  13. 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.

  14. 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

  15. Managing Residential Electricity Demand Through Provision of Better Feedback

    Science.gov (United States)

    Collins, Myles

    New and affordable technology for providing detailed feedback on household electricity usage presents a host of opportunities for utilities and policy-makers to manage demand. This dissertation examines ways to use these devices to reduce - and shift the timing of - energy use in the residential sector by influencing consumers' behavior. The first portion of the study analyzes the impact of programmable thermostats (PTs) on energy use, focusing on residents' knowledge of climate control settings in the dwelling. I found that of households with natural gas heating systems, young households with PTs used 17 percent less heating energy on average. In addition, residents who did not know their thermostat settings tended to use 10 percent more energy for heating. The main portion of the dissertation focuses specifically on the potential for better feedback on electricity usage to reduce household energy consumption. The existing literature suggests that feedback can reduce electricity consumption in homes by 5 to 20 percent, but that significant uncertainties remain in our knowledge of the effectiveness of feedback. These uncertainties include the variation in feedback effectiveness between demographic groups and consumers in different climate regions. This analysis uses these uncertainties to perform an exploratory analysis to determine the conditions under which the benefits of feedback outweigh the costs and to compare the cost-effectiveness of providing feedback against that of other DSM programs. I found that benefits would likely outweigh costs for enhanced monthly billing and real-time feedback and that cost-effectiveness was superior to that of other DSM programs for these types of feedback. For feedback that is disaggregated by appliance type, cost effectiveness was competitive with other DSM programs under a limited set of cases. This study also examines how energy consumption devices should display feedback on GHG emissions from electricity use under a real

  16. The world per capita electricity consumption distribution: Signs of convergence?

    International Nuclear Information System (INIS)

    Maza, Adolfo; Villaverde, Jose

    2008-01-01

    Considering residential per capita electricity consumption as one of the most suitable economic welfare indicators, the aim of this paper is to explore worldwide differences on this variable over the period 1980-2007. The paper adds to the standard practice of σ and β convergence analysis by tracking the external shape and time evolution of the entire distribution, applying nonparametric techniques (density functions and stochastic kernels) to a sample of 98 countries. The main finding is that a weak process of electricity consumption convergence has taken place. This reduction of disparities is clearly related to at least three issues: firstly, the rapid economic changes experienced by some developing countries; secondly, the energy conservation policies implemented by most developed countries following the first oil shock; and, thirdly, the growing awareness on energy issues in rich countries. Notwithstanding this, the ergodic distribution on per capita electricity consumption indicates that large cross-country disparities will persist in the long-run

  17. 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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2008-07-01

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

  19. Electricity: Residential Wiring. Secondary Schools. Curriculum Guide.

    Science.gov (United States)

    Trust Territory of the Pacific Islands Dept. of Education, Saipan.

    This curriculum guide on residential wiring for secondary students is one of six developed for inservice teachers at Marianas High School in Saipan. The guide provides the rationale, description, goals, and objectives of the program; the program of studies and performance objectives by levels; samples of lesson plans for effective delivery of…

  20. 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...

  1. Modeling future demand for energy resources: A study of residential electricity usage in Thailand

    Science.gov (United States)

    Nilagupta, Prapassara

    1999-12-01

    Thailand has a critical need for effective long-term energy planning because of the country's rapidly increasing energy consumption. In this study, the demand for electricity by the residential sector is modeled using a framework that provides detailed estimates of the timing and spatial distribution of changes in energy demand. A population model was developed based on the Cohort-Component method to provide estimates of population by age, sex and urban/non-urban residency in each province. A residential electricity end user model was developed to estimate future electricity usage in urban and non-urban households of the seventy-six provinces in Thailand during the period 1999--2019. Key variables in this model include population, the number of households, family household size, and characteristics of eleven types of electric household appliance such as usage intensity, input power, and saturation rate. The methodology employed in this study is a trending method which utilizes expert opinion to estimate future variables based on a percentage change from the most current value. This study shows that from 1994 to 2019 Thailand will experience an increase in population from 55.4 to 83.6 million. Large percentage population increases will take place in Bangkok, Nonthaburi, Samut Prakarn, Nakhon Pathom and Chonburi. At a national level, the residential electricity consumption will increase from approximately 19,000 to 8 1,000 GWh annually. Consumption in non-urban households will be larger than in urban households, with respective annual increases of 8.0% and 6.2% in 2019. The percent increase of the average annual electricity consumption will be four times the average annual percent population increase. Increased electricity demand is largely a function of increased population and increased demand for high-energy appliances such as air conditioners. In 1994, air conditioning was responsible for xx% of total residential electricity demand. This study estimates that in

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

    Energy Technology Data Exchange (ETDEWEB)

    Clark, Y.Y.; Vincent, W.

    1987-06-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Clark, Y.Y.; Vincent, W.

    1987-06-01

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

  4. 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

  5. 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.

  6. 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)

  7. 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.

  8. 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

  9. 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

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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

    , 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...... 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...

  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. 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)

  17. 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

  18. 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...

  19. Feedback on household electricity consumption

    DEFF Research Database (Denmark)

    Grønhøj, Alice; Thøgersen, John

    2011-01-01

    with respect to lowering their energy consumption. In addition, the feedback stimulated social influences processes related to energy savings between spouses as well as between (teenage) children and their parents. Notably, families with teenage children appear to be particularly receptive to this type...

  20. 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.

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

    Science.gov (United States)

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

    2017-11-01

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

  2. 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

  3. 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...... samples from the 2001 National Household Travel Survey. The estimation results indicate that residential density has a statistically significant but economically modest influence on vehicle usage, which is similar to that in previous studies. However, the joint effect of the contextual density measure...... (density in the context of its surrounding area) and residential density on vehicle usage is quantitatively larger than the sole effect of residential density. Moving a household from a suburban to an urban area reduces household annual mileage by 18%. We also find that a lower neighborhood residential...

  4. Electricity Generation, Electricity Consumption, and Energy Efficiency in the United States: A Dual Climatic-Behavioral Approach

    Science.gov (United States)

    Craig, Christopher Alan

    Much of the United States (US) has seen an increase in warm days, decrease in cool days, and increase in extreme weather events. These trends are projected to continue across much of the US and in turn increase the demand for electricity and subsequent greenhouse gas emissions. Ambitious energy efficiency (EE) programs are used across the US by energy utility organizations to reduce electricity demand and emissions. This study examined the impact of climatic variability on electricity consumption, as well as how pro-conservation interventions such as EE programs and experiential learning can be utilized to mitigate residential electricity consumption and emissions. Chapter 2 of this study examined the impact of EE programs on residential electricity consumption taking into account climatic indicators across the contiguous US. A state-by-state analysis suggested that climatic indicators were more explanatory of residential consumption than energy utility organization EE efforts at the state-level. Chapter 3 examined residential electricity consumption for heating and cooling applications explained by energy utility organization EE efforts and climatic indicators in the Southeast US. Indirect spending on EE programs was significantly related to heating and cooling applications and heating degree days, a climatic indicator for number of days over a certain temperature, were significantly related to cooling equipment applications. A survey of 2,450 residential electricity consumers was analyzed. Residents who were aware of EE programs and participated in EE programs were significantly more likely than those who were not to support energy utility organization use of clean energy and government subsidies for EE programs. Chapter 4 provided case study in a Southeast US state where a pro-conservation behavioral intervention was deployed in an elementary school. This chapter utilized a longitudinal design and mixed methodology to assess the effect of curriculum

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1983-04-01

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

  6. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2006-08-15

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

  9. 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...

  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. 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

  12. Determining the Effects on Residential Electricity Prices and Carbon Emissions of Electricity Market Restructuring in Alberta

    Science.gov (United States)

    Jahangir, Junaid Bin

    When electricity restructuring initiatives were introduced in Alberta, and finalized with the institution of retail electricity market competition in 2001, it was argued that the changes would deliver lower electricity prices to residential consumers. However, residential electricity prices in Alberta increased dramatically in 2001, and have never returned to their pre-restructuring levels. Proponents of restructuring argue that electricity prices would have been even higher under continued regulation, citing the effect of considerably higher natural gas prices and the roles of other variables. However, many Alberta residential electricity consumers tend to attribute their higher electricity prices to factors such as market power and manipulation associated with restructuring. Since the effects of restructuring on electricity prices cannot be evaluated by simply comparing prices before and after it occurred, the main objective of this thesis is to determine what electricity prices would have been under continued regulation, and to compare them with what was actually observed. To determine these counterfactual electricity prices, a structural model of the determinants of Alberta residential electricity prices is developed, estimated for the prerestructuring period, and used to forecast (counterfactual) prices in the postrestructuring period. However, in forming these forecasts it is necessary to separately account for changes in explanatory variables that could be viewed as occurring due to the restructuring (endogenous) from those changes that would Since the effects of restructuring on electricity prices cannot be evaluated by simply comparing prices before and after it occurred, the main objective of this thesis is to determine what electricity prices would have been under continued regulation, and to compare them with what was actually observed. To determine these counterfactual electricity prices, a structural model of the determinants of Alberta residential

  13. 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.

  14. 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%

  15. Understanding change and continuity in residential energy consumption

    DEFF Research Database (Denmark)

    Gram-Hanssen, Kirsten

    2011-01-01

    Practice theory has recently emerged within consumer studies as a promising approach that shifts focus from the individual consumer towards the collective aspects of consumption and from spectacular and conspicuous dimensions of consumption towards routine and mundane aspects of consumption...... of material consumer goods in practice theory. Case studies on household energy consumption are used as an empirical basis for these discussions. Looking at household energy consumption through the theoretical lens of practice theory necessitates discussion on whether energy consumption should be viewed....... Practice theory is, however, not a commonly agreed upon theory but more like an approach or a turn within contemporary social theory. When using practice theory in consumer studies, there are thus several conditions that need further clarification. The focus in this article is on how change and continuity...

  16. 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

  17. 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.

  18. 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

  19. 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.

  20. Mosaic analysis for personal water consumption in residential buildings in Hong Kong

    Science.gov (United States)

    Lo, Yuet Fai; Wong, Ling Tim; Mui, Kwok Wai

    2018-02-01

    This paper investigates the daily per capita residential water use based on the demographic and socio-economic factors described by Mosaic Hong Kong and provides insights into future water supply planning. A survey was conducted to collect information on household water use behaviours and water consumption patterns. The survey results indicate that considerable consumption differences (in the range of 115.6 to 167.7 litres per person per day) exist among the Mosaic Groups, and the average daily per capita residential water consumption is estimated to be 139.6 litres per person per day. The results also reveal that the daily per capita water consumption is inversely proportional to household size in the range of 2 to 6. Moreover, consumption differences among housing types and districts are reported.

  1. 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

  2. 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

  3. 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.

  4. 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

  5. Responding to the Drought: A Spatial Statistical Approach to Investigating Residential Water Consumption in Fresno, California

    Directory of Open Access Journals (Sweden)

    Chih-Hao Wang

    2017-02-01

    Full Text Available Using data from the 2015 Residential Water Consumption Survey, this study examines residential water-use behavior and attitudes after the recent drought in Fresno, California. Spatial autoregressive models of residential water consumption were estimated, accounting for the effects of social interactions in communities (i.e., neighborhood effects, while controlling for indoor and outdoor house attributes, economic conditions, and attitudes toward water uses. The findings show that the spatial autocorrelations do exist. This suggests that the neighborhood effects can be a useful lever to facilitate initiatives aiming at promoting community engagement on water-saving practices. The results also indicate that a larger house tends to incur more water use, so does the presence of pools. Using a drip irrigation system for watering the backyard can help reduce water consumption. Medium income families turn out to use the least amount of water among different income groups, suggesting that water-saving policies may yield different results among residents of various income levels. Interestingly, respondents who considered themselves heavy water users actually used less water. This implies that the awareness of water importance can significantly influence residents’ water-use behavior and therefore the promotion of a water-saving culture can help reduce residential water consumption.

  6. 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.

  7. 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)

  8. 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.

  9. 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.

  10. 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

  11. 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.

  12. Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India

    Energy Technology Data Exchange (ETDEWEB)

    McNeil, Michael A.; Iyer, Maithili

    2009-05-30

    The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptive frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.

  13. One rate does not fit all: An empirical analysis of electricity tariffs for residential microgrids

    NARCIS (Netherlands)

    G. Fridgen (Gilbert); M.T. Kahlen (Micha); W. Ketter (Wolfgang); Rieger, A. (Alexander); Thimmel, M. (Markus)

    2017-01-01

    textabstractIncreasingly, residential customers are deploying PV units to lower electricity bills and contribute to a more sustainable use of resources. This selective decentralization of power generation, however, creates significant challenges, because current transmission and distribution grids

  14. 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...

  15. 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

  16. 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).

  17. 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.

  18. 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 (meter), formal urban neighborhoods have been generated through texture analysis. In this study, we explore the applicability of these urban neighborhoods in understanding local level electricity consumption patterns through exploring possible correlations between the spatial characteristics of these neighborhoods, associated general economic activities, and corresponding VIIRS day-night band (DNB) nighttime 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

  19. 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.

  20. 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

  1. ENCOURAGING ELECTRICITY SAVINGS IN A UNIVERSITY RESIDENTIAL HALL THROUGH A COMBINATION OF FEEDBACK, VISUAL PROMPTS, AND INCENTIVES

    Science.gov (United States)

    Bekker, Marthinus J; Cumming, Tania D; Osborne, Nikola K.P; Bruining, Angela M; McClean, Julia I; Leland, Louis S

    2010-01-01

    This experiment investigated the combined use of visual prompts, daily feedback, and rewards to reduce electricity consumption in a university residential hall. After a 17-day baseline period, the experimental intervention was introduced in the intervention hall, and no change was made in the control hall. Energy usage decreased in the intervention hall, but energy usage did not change appreciably in the control hall. In the intervention hall, mean daytime and nighttime savings were 16.2% and 10.7%, respectively, compared to savings of 3.8% (day) and 6.5% (night) in the control hall. PMID:21119909

  2. 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

  3. 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.

  4. 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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2007-07-01

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

  6. Data-driven behavioural modelling of residential water consumption to inform water demand management strategies

    Science.gov (United States)

    Giuliani, Matteo; Cominola, Andrea; Alshaf, Ahmad; Castelletti, Andrea; Anda, Martin

    2016-04-01

    The continuous expansion of urban areas worldwide is expected to highly increase residential water demand over the next few years, ultimately challenging the distribution and supply of drinking water. Several studies have recently demonstrated that actions focused only on the water supply side of the problem (e.g., augmenting existing water supply infrastructure) will likely fail to meet future demands, thus calling for the concurrent deployment of effective water demand management strategies (WDMS) to pursue water savings and conservation. However, to be effective WDMS do require a substantial understanding of water consumers' behaviors and consumption patterns at different spatial and temporal resolutions. Retrieving information on users' behaviors, as well as their explanatory and/or causal factors, is key to spot potential areas for targeting water saving efforts and to design user-tailored WDMS, such as education campaigns and personalized recommendations. In this work, we contribute a data-driven approach to identify household water users' consumption behavioural profiles and model their water use habits. State-of-the-art clustering methods are coupled with big data machine learning techniques with the aim of extracting dominant behaviors from a set of water consumption data collected at the household scale. This allows identifying heterogeneous groups of consumers from the studied sample and characterizing them with respect to several consumption features. Our approach is validated onto a real-world household water consumption dataset associated with a variety of demographic and psychographic user data and household attributes, collected in nine towns of the Pilbara and Kimberley Regions of Western Australia. Results show the effectiveness of the proposed method in capturing the influence of candidate determinants on residential water consumption profiles and in attaining sufficiently accurate predictions of users' consumption behaviors, ultimately providing

  7. 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.

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

    Science.gov (United States)

    Muratori, Matteo

    2018-01-01

    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.

  9. 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

  10. 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.

  11. 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.

  12. 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.

  13. Electricity Consumption and Economic Growth: The Case of Mexico

    OpenAIRE

    Mario Gómez; José Carlos Rodríguez

    2015-01-01

    The causality between energy consumption and economic growth has been an important issue in the economic literature. This paper studies the causal relationship between electricity consumption and economic growth in Mexico for the period of 1971-2011. In so doing, unit root and causality tests are applied. The results show that energy consumption and economic growth series are stationary and there is also a causality relationship running from economic growth to electricity...

  14. 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

  15. 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.

  16. 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...

  17. 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 ...

  18. 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.

  19. 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)

  20. 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.

  1. 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

  2. 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.

  3. 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

  4. 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.

  5. 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

  6. 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)

  7. 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.

  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......, 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. 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)

  10. 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

  11. Evaluation of the heating share of household electricity consumption using statistical analysis: a case study of Tirana, Albania

    Directory of Open Access Journals (Sweden)

    Flamur Bidaj

    2015-06-01

    Full Text Available Albania’s residential sector represents a large share of the country’s energy consumption, especially of electric power. Other important characteristics of the sector include fast growing energy demand and a high level of energy losses, which challenge the possibility of sustainable development. A large share of the electricity demand is used for heating purposes – a demand that could potentially be met in a more energy efficient manner. However, the precise portion of electricity used to meet heat needs is unknown. The main objective of this article is thus to determine the share of electricity used for heating in the largest Albanian city Based on a sample of households in Tirana, a statistical model is established and applied to perform a regression analysis to derive an estimation of household electricity demand. The heating share of the domestic electricity consumption is then quantified using additional information validated by actual measurements. The distribution of the electricity consumption data is better understood through an analysis of heat-related electricity consumption. Additionally, the monthly relative share of household electricity consumption reveals the number of households with electricity demand above the monthly 300kWh limit established by the Albanian Energy Regulatory Authority, which must be met in order to avoid triggering a higher electricity tariff. It is suggested that household electricity consumption will continue to grow in the near future, due to rising incomes and changing climatic conditions that are influencing the amount of heat used by Albanians, who rely primarily on electricity to heat their homes.

  12. Residential energy usage comparison: Findings

    Energy Technology Data Exchange (ETDEWEB)

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

    1991-08-01

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

  13. 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.

  14. 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

  15. 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.

  16. 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

  17. Electricity Consumption and Economic Growth: Evidence from 17 Taiwanese Industries

    Directory of Open Access Journals (Sweden)

    Wen-Cheng Lu

    2016-12-01

    Full Text Available The current paper investigates the existence and nature of the Granger causality between electricity consumption and economic growth for 17 industries in Taiwan. Empirical results over the period 1998–2014 suggest that a panel cointegration test shows a long-run equilibrium relationship and a bi-directional Granger causality between electricity and economic growth has been found. The result indicates that a 1% increase in electricity consumption boosts the real GDP by 1.72%. The government can pursue energy conservation and carbon reduction policy in some industries without impeding the economic growth for adjusting the industrial structure.

  18. 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

  19. 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

  20. 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

  1. 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)

  2. 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.

  3. 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.

  4. 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...

  5. MV and LV Residential Grid Impact of Combined Slow and Fast Charging of Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Niels Leemput

    2015-03-01

    Full Text Available This article investigates the combined low voltage (LV and medium voltage (MV residential grid impact for slow and fast electric vehicle (EV charging, for an increasing local penetration rate and for different residential slow charging strategies. A realistic case study for a Flemish urban distribution grid is used, for which three residential slow charging strategies are modeled: uncoordinated charging, residential off-peak charging, and EV-based peak shaving. For each slow charging strategy, the EV hosting capacity is determined, with and without the possibility of fast charging, while keeping the grid within its operating limits. The results show that the distribution grid impact is much less sensitive to the presence of fast charging compared to the slow charging strategy. EV-based peak shaving results in the lowest grid impact, allowing for the highest EV hosting capacity. Residential off-peak charging has the highest grid impact, due the load synchronization effect that occurs, resulting in the lowest EV hosting capacity. Therefore, the EV users should be incentivized to charge their EVs in a more grid-friendly manner when the local EV penetration rate becomes significant, as this increases the EV hosting capacity much more than the presence of fast charging decreases it.

  6. 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

  7. 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

  8. Adjustable consumption participating in the electricity markets

    DEFF Research Database (Denmark)

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

    2013-01-01

    We consider a player managing a portfolio of flexible demand-side devices and examine the requirements for such a player to become an active player in the Nordic electricity system. In particular, we examine the regulatory requirements that must be satisfied to perform spot price optimization...... are aggregated and utilized for spot price optimization and to participate in the regulating power market. In this case study we examine in detail the implications of the given regulatory requirements for market participation in the Nordic system and compare this with estimates of the revenue that can...

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

    DEFF Research Database (Denmark)

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

    2013-01-01

    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...... 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...... 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....

  10. 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

  11. 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)

  12. 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)

  13. 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.

  14. 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)

  15. 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)

  16. Electricity consumption-growth nexus: The case of Malaysia

    Energy Technology Data Exchange (ETDEWEB)

    Chandran, V.G.R., E-mail: vgrchan@perdana.um.edu.m [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, E-mail: susan.sharma@ymail.co [School of Accounting, Economics and Finance, Deakin University, Melbourne (Australia); Madhavan, Karunagaran, E-mail: deiga@hotmail.co [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.

  17. 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.

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

    OpenAIRE

    Cui, Wenqiang; Wang, Hao

    2017-01-01

    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 consu...

  19. 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

  20. 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

  1. 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.

  2. 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

  3. 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…

  4. 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.

  5. 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

  6. 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

  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. 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)

  9. 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.

  10. 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

  11. Assessing the Quality of Natural Gas Consumption Forecasting: An Application to the Italian Residential Sector

    Directory of Open Access Journals (Sweden)

    Federico Scarpa

    2017-11-01

    Full Text Available (1 Background: The present paper aims at estimating the quality of the forecasts obtained by using one equation models. In particular, the focus is on the effect that the explanatory variables have on the forecasted quantity. The analysis is performed on the long term natural gas consumption in the Italian residential sector, but the same methodology can be applied to other contexts; (2 Methods: Different ex ante knowledge scenarios are built by associating different levels of confidence to the same set of explanatory variables. Forecasting results, coming from a standard regression algorithm and confirmed by a Kalman filter, are analyzed by means of covariance matrix propagation to assess the quality of the provided estimates; (3 Results: The outcomes show that one-equation models are very sensitive to the quality of the explanatory variables, therefore their erroneous estimation may have a relevant detrimental effect on the predictive accuracy of the model; (4 Conclusions: The overall ex ante forecasting accuracy of an example of one equation model is assessed. It has emerged that long-term forecasts need particular attention when the covered time horizon spans over decades. The information contained in the present paper is of interest for energy planners, supply network managers and policy makers in order to support their decisions.

  12. 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.

  13. 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.

  14. 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)

  15. 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.

  16. 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.

  17. 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)

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. Electricity Consumption-Economic Growth Nexus: The Ghanaian Case

    Directory of Open Access Journals (Sweden)

    Philip Kofi Adom

    2011-01-01

    Full Text Available Research into the electricity-economic growth nexus has important implications for energy conservation measures and environmental policy. However, results from the energy-economic growth nexus have been mixed in the literature on Ghana. This posses serious problems for the country’s energy policy. Much research is thus, required to establish the direction of causality between energy and economic growth. Nonetheless, less evidence is available for Ghana. It is against this background that this study seeks to investigate the direction of causality between a type of energy, electricity, and economic growth to add to the existing argument in the literature. The Toda and Yomamoto Granger Causality Test was used to carry out the test of causality between electricity consumption and economic growth from 1971 to 2008. The results obtained herein revealed that there exists a unidirectional causality running from economic growth to electricity consumption. Thus, data on Ghana supports the Growth-led-Energy Hypothesis. The results imply that electricity conservation measures are a viable option for Ghana.

  3. Identifying Household Residential Electricity Un-subscribers under Two Electricity Subsidy Regimes in Indonesia

    OpenAIRE

    Sulistiyo, Mohammad Herman; Banchongphanith, Latdaphone; Kaneko, Shinji

    2011-01-01

    The use of electricity without a contract with a utility company is a form of electricity theft in Indonesia. The problem of illegal connection to the grid is neither widely acknowledged nor is discussed in detail in the recent literature. To enable deep discussions regarding issues of electricity fraud in Indonesia, this study aims to firstly identify the electricity un-subscribers, and then classify the un-subscribers by different tariff blocks based on the SUSENAS survey data. By comparing...

  4. 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.

  5. 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 ...

  6. 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...

  7. 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.

  8. Optimizing electricity consumption: A case of function learning.

    Science.gov (United States)

    Guath, Mona; Millroth, Philip; Juslin, Peter; Elwin, Ebba

    2015-12-01

    A popular way to improve consumers' control over their electricity consumption is by providing outcome feedback on the cost with in-home displays. Research on function learning, however, suggests that outcome feedback may not always be ideal for learning, especially if the feedback signal is noisy. In this study, we relate research on function learning to in-home displays and use a laboratory task simulating a household to investigate the role of outcome feedback and function learning on electricity optimization. Three function training schemes (FTSs) are presented that convey specific properties of the functions that relate the electricity consumption to the utility and cost. In Experiment 1, we compared learning from outcome feedback with 3 FTSs, 1 of which allowed maximization of the utility while keeping the budget, despite no feedback about the total monthly cost. In Experiment 2, we explored the combination of this FTS and outcome feedback. The results suggested that electricity optimization may be facilitated if feedback learning is preceded by a brief period of function training. (c) 2015 APA, all rights reserved).

  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. 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...... these markets; further, we briefly describe the debated and planned changes in the electricity market to better accommodate flexible consumers. Based on recent market data, we estimate the revenue that flexible consumers can generate by market entry depending on the capacity of the consumers. The results show......% 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...

  11. Behavioural modification framework to address wastage in household electricity consumption.

    Science.gov (United States)

    Cheah, Stephanie K A; Yeow, Paul H P; Nair, Sumesh R; Tan, Felix B

    2018-05-01

    Household electricity wastage poses a sustainability issue. Ergonomic interventions that prevent wastage through technological innovations are expensive and complex, making consumers unwilling to adopt them. The study aimed to investigate the motivations and impediments in avoiding electricity wastage. Thirteen Repertory Grid interviews were conducted on household electricity users relating to the behaviour of those living with them. The key motivational themes found were altruistic and egoistic reasons while the impediments were perceived behavioural control, hedonism and self-efficacy. Based on the research findings, a behavioural modification framework was developed to encourage consumers to adopt a higher level of responsible electricity practice through the following suggested interventions - (1) reframing sustainability from 'future-for-others' to 'present-for-us', (2) clarifying responsible consumption and (3) performance feedback. The research identified the key motivations and impediments of being a responsible household electricity user and provided a framework to encourage a higher responsibility level. Practitioner Summary: Household electricity wastage poses sustainability issue: excess CO 2 & high costs. We developed a mindset changing behavioural modification framework. We investigated HFE issues: motivations & impediments of avoiding the wastage, i.e. altruistic, egoistic, behavioural control, hedonism & self-efficacy. The framework provides governments insights into strategies to address the wastage.

  12. 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)

  13. 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.

  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. 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

  16. Iterating 'addiction': Residential relocation and the spatio-temporal production of alcohol and other drug consumption patterns.

    Science.gov (United States)

    Dilkes-Frayne, Ella; Fraser, Suzanne; Pienaar, Kiran; Kokanovic, Renata

    2017-06-01

    Addiction is generally understood to be characterised by a persistent pattern of regular, heavy alcohol and other drug consumption. Current models of addiction tend to locate the causes of these patterns within the body or brain of the individual, sidelining relational and contextual factors. Where space and place are acknowledged as key factors contributing to consumption, they tend to be conceived of as static or fixed, which limits their ability to account for the fluid production and modulation of consumption patterns over time. In this article we query individualised and decontextualised understandings of the causes of consumption patterns through an analysis of accounts of residential relocation from interviews undertaken for a large research project on experiences of addiction in Australia. In conducting our analysis we conceptualise alcohol and other drug consumption patterns using Karen Barad's notions of intra-action and spatio-temporality, which allow for greater attention to be paid to the spatial and temporal dimensions of the material and social processes involved in generating consumption patterns. Drawing on 60 in-depth interviews conducted with people who self-identified as experiencing an alcohol and other drug addiction, dependence or habit, our analysis focuses on the ways in which participant accounts of moving enacted space and time as significant factors in how patterns of consumption were generated, disrupted and maintained. Our analysis explores how consumption patterns arose within highly localised relations, demonstrating the need for understandings of consumption patterns that acknowledge the indivisibility of space and time in their production. In concluding, we argue for a move away from static conceptions of place towards a more dynamic conception of spatio-temporality, and suggest the need to consider avenues for more effectively integrating place and time into strategies for generating preferred consumption patterns and initiating

  17. 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.

  18. 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.

  19. 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)

  20. Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration

    Science.gov (United States)

    Corbin, Charles D.

    Demand management is an important component of the emerging Smart Grid, and a potential solution to the supply-demand imbalance occurring increasingly as intermittent renewable electricity is added to the generation mix. Model predictive control (MPC) has shown great promise for controlling HVAC demand in commercial buildings, making it an ideal solution to this problem. MPC is believed to hold similar promise for residential applications, yet very few examples exist in the literature despite a growing interest in residential demand management. This work explores the potential for residential buildings to shape electric demand at the distribution feeder level in order to reduce peak demand, reduce system ramping, and increase load factor using detailed sub-hourly simulations of thousands of buildings coupled to distribution power flow software. More generally, this work develops a methodology for the directed optimization of residential HVAC operation using a distributed but directed MPC scheme that can be applied to today's programmable thermostat technologies to address the increasing variability in electric supply and demand. Case studies incorporating varying levels of renewable energy generation demonstrate the approach and highlight important considerations for large-scale residential model predictive control.

  1. 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

  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. 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.

  4. 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.

  5. Reducing Gridlock on the Grid: Utility Trends in Managing Peak Electric Load through Residential Demand Response

    Science.gov (United States)

    McDonald, Betsy

    Utilities across the United States are piloting residential demand response programs to help manage peak electric demand. Using publicly available program evaluations, this thesis analyzes nine such programs to uncover and synthesize the range of program offerings, goals, enrollment strategies, and customer experiences. This review reveals that program participation, components, and results differ based on a variety of factors, including geographic characteristics, program goals, and implementation strategies. The diversity of program designs and evaluation findings suggests an underlying tension between the need to generate cost-effective program impacts and the desire to increase accessibility so that program benefits are not exclusive to certain segments of the population. For more significant and impactful engagement, program goals may need to shift. State level policy support could help shift program goals toward increasing program accessibility. Future research should explore creative strategies that target existing barriers and allow for more inclusive deployment.

  6. 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)

  7. 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.

  8. 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)

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

    Energy Technology Data Exchange (ETDEWEB)

    Narayan, Paresh Kumar [Faculty of Business and Law, School of Accounting, Economics and Finance, Deakin University, 221 Burwood Highway, Burwood, Victoria 3125 (Australia); Narayan, Seema [School of Economics, Finance and Marketing, Royal Melbourne Institute of Technology, Melbourne (Australia); Prasad, Arti [Department of Economics, Faculty of Business and Economics, Monash University, Clayton Campus, Melbourne (Australia)

    2008-07-15

    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. (author)

  10. 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

  11. 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.

  12. 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.

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

    OpenAIRE

    Nehad Elsawaf, Tarek Abdel-Salam, Leslie Pagliari

    2012-01-01

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

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

    NARCIS (Netherlands)

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

    2012-01-01

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

  15. 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.

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

    DEFF Research Database (Denmark)

    Hansen, Anders Rhiger

    2013-01-01

    In this paper, I begin with a description of how a sociological perspective can be employed to understand energy consumption while taking into account that energy consumption is embedded in everyday social practices. Next, I describe how newly available data enhances the potential of quantitative...

  17. 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

  18. 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

    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...... differently to the aggregated consumption profile,•the weight of categories of customers differ between local areas.In this paper we present a model calculating local consumption as composed of consumption by categories of customers with specific consumption profiles and different weights in local areas....... 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...

  19. Electricity Consumption and Information and Communication Technology (ICT) in the N-11 Emerging Economies

    OpenAIRE

    Afzal, Munshi Naser Ibne; Gow, Jeff

    2016-01-01

    In this study, the impact of information communication technologies (ICT) on electricity consumption in the Next 11 (N-11) emerging economies over the period 1990-2014 is examined. This period coincides with high economic growth rates in those countries and associated rapidly increasing electricity consumption as well as the ICT revolution that saw the rapid uptake of new ICT by its peoples. Little has been published on the relationship between ICT and electricity consumption in the N-11 emer...

  20. 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

  1. 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)

  2. 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)

  3. 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)

  4. 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.

  5. 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

  6. 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.

  7. Effect of electricity tariffs and cooling technologies on dairy farm electricity consumption, related costs and greenhouse gas emissions

    NARCIS (Netherlands)

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

    2014-01-01

    The aim of this study was to provide insight into the variations in dairy farm electricity costs across five electricity tariffs. The effect of four milk cooling scenarios is also simulated to illustrate the effect of technologies on the electricity consumption, related costs and CO2 emissions of a

  8. 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

  9. 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

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

    Science.gov (United States)

    Trinh, Kevin

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

  11. 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

  12. 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.

  13. Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand

    Science.gov (United States)

    Lewis, Jim; Mengersen, Kerrie; Buys, Laurie; Vine, Desley; Bell, John; Morris, Peter; Ledwich, Gerard

    2015-01-01

    Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers’ peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers’ location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual ‘map’ of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the

  14. Systems Modelling of the Socio-Technical Aspects of Residential Electricity Use and Network Peak Demand.

    Science.gov (United States)

    Lewis, Jim; Mengersen, Kerrie; Buys, Laurie; Vine, Desley; Bell, John; Morris, Peter; Ledwich, Gerard

    2015-01-01

    Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers' peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers' location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual 'map' of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the locations

  15. 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)

  16. 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.

  17. Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration

    OpenAIRE

    Corbin, Charles

    2014-01-01

    Demand management is an important component of the emerging Smart Grid, and a potential solution to the supply-demand imbalance occurring increasingly as intermittent renewable electricity is added to the generation mix. Model predictive control (MPC) has shown great promise for controlling HVAC demand in commercial buildings, making it an ideal solution to this problem. MPC is believed to hold similar promise for residential applications, yet very few examples exist in the literature despite...

  18. 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.

  19. 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.

  20. 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.

  1. 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

  2. The growth pattern and fuel life cycle analysis of the electricity consumption of Hong Kong.

    Science.gov (United States)

    To, W M; Lai, T M; Lo, W C; Lam, K H; Chung, W L

    2012-06-01

    As the consumption of electricity increases, air pollutants from power generation increase. In metropolitans such as Hong Kong and other Asian cities, the surge of electricity consumption has been phenomenal over the past decades. This paper presents a historical review about electricity consumption, population, and change in economic structure in Hong Kong. It is hypothesized that the growth of electricity consumption and change in gross domestic product can be modeled by 4-parameter logistic functions. The accuracy of the functions was assessed by Pearson's correlation coefficient, mean absolute percent error, and root mean squared percent error. The paper also applies the life cycle approach to determine carbon dioxide, methane, nitrous oxide, sulfur dioxide, and nitrogen oxide emissions for the electricity consumption of Hong Kong. Monte Carlo simulations were applied to determine the confidence intervals of pollutant emissions. The implications of importing more nuclear power are discussed. Copyright © 2012 Elsevier Ltd. All rights reserved.

  3. 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...

  4. 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.

  5. 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.

  6. 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 fast-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.

  7. 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)

  8. Determination of Technological Electric Power Consumption for Its Transportation while Using Block-Stations

    Directory of Open Access Journals (Sweden)

    V. V. Pavlovets

    2010-01-01

    Full Text Available The paper proposes a method for calculation of the technological electric power consumption for its transportation in the elements of power network while using block-stations under conditions of differently-directed electric power transfer.The calculation of technological electric power consumption for its transportation can be applied while supplying several consumers with one element of power network simultaneously with block-station operation. 

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

    Energy Technology Data Exchange (ETDEWEB)

    Arentsen, S K

    1979-04-01

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

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

    DEFF Research Database (Denmark)

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

    2016-01-01

    including new facades, new windows, additional insulation, mechanical ventilation with heat recovery and a photovoltaic installation on the roof. The measured energy consumption for heating and domestic hot water before and after renovation was 139.1 kWh/m2/year and 95.6 kWh/m2/year respectively...... before and after the retrofit. In three of the flats in Traneparken measurements of ventilation conditions were performed using passive tracer gas technique together with continuous registration of the room air temperature, the relative humidity and the CO2-concentration using programmable data loggers....

  11. 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

  12. 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

  13. 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

  14. 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.

  15. 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

  16. Regional decomposition analysis of electric carbon productivity from the perspective of production and consumption in China.

    Science.gov (United States)

    Chen, Guijing; Hou, Fujun; Chang, Keliang

    2018-01-01

    This study is concerned with the impact factors of electric carbon productivity change in China. Some influencing factors are identified by examining the time series decomposition of electric carbon productivity based on data from 2003 to 2015, where the usual Logarithmic Mean Divisia Index (LMDI) method is used but with the regional dimension taken into consideration. Moreover, this study analyzes the driving factors of electric carbon productivity change from the perspective of production and consumption in China's power industry, where the influences of power transfers among provinces, imports and exports, and transmission losses are considered. Based on the decomposition analysis of existing data in 30 provinces (including province-level municipalities), from the perspective of production, regional actual electric carbon productivity, and per capita GDP are the main influencing forces for the growth of electric carbon productivity, and the reciprocal of per capita electric carbon emissions, energy intensity, and energy emission intensity play dominate roles in the decline of electric carbon productivity. From the perspective of consumption, the main impact factors to improve electric carbon productivity are power transfers among provinces, imports and exports, the reciprocal of emission intensity of power consumption and regional electric carbon productivity, and the impact of energy consumption on thermal power generation, the proportion of thermal power to total electricity generation, and the effect of transmission losses. Finally, several conclusions are drawn that might be meaningful for the Chinese government to improve China's electric carbon productivity.

  17. 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

  18. Structured Literature Review of Electricity Consumption Classification Using Smart Meter Data

    DEFF Research Database (Denmark)

    Tureczek, Alexander Martin; Nielsen, Per Sieverts

    2017-01-01

    Smart meters for measuring electricity consumption are fast becoming prevalent in households. The meters measure consumption on a very fine scale, usually on a 15 min basis, and the data give unprecedented granularity of consumption patterns at household level. A multitude of papers have emerged...... utilizing smart meter data for deepening our knowledge of consumption patterns. This paper applies a modification of Okoli's method for conducting structured literature reviews to generate an overview of research in electricity customer classification using smart meter data. The process assessed 2099 papers...

  19. The Dynamic Causal Relationship between Electricity Consumption and Economic Growth in Ghana: A Trivariate Causality Model

    Directory of Open Access Journals (Sweden)

    Bernard N. Iyke

    2014-06-01

    Full Text Available This paper examines the dynamic causal relationship between electricity consumption and economic growth in Ghana within a trivariate ARDL framework, for the period 1971–2012.The paper obviates the variable omission bias, and the use of cross-sectional techniques that characterise most existing studies. The results show that there is a distinct causal flow from economic growth to electricity consumption: both in the short run and in the long run. This finding supports the growth-led electricity consumption hypothesis, as documented in the literature. The paper urges policymakers in Ghana to resort to alternative sources of electric power generation, in order to reduce any future pressures on the current sources of electricity production. Appropriate monetary policies must also be put in place, in order to accommodate potential inflation hikes stemming from excessive demands for electricity in the near future.

  20. 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

  1. 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

  2. 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. (author)

  3. 77 FR 74559 - Energy Conservation Program for Consumer Products: Test Procedures for Residential Water Heaters...

    Science.gov (United States)

    2012-12-17

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

  4. 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.

  5. 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...

  6. 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.

  7. 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. (author)

  8. 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

  9. 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.

  10. 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

  11. Final Technical Report: Residential Fuel Cell Demonstration by the Delaware County Electric Cooperative, Inc.

    Energy Technology Data Exchange (ETDEWEB)

    Mark Hilson Schneider

    2007-06-06

    This demonstration project contributes to the knowledge base in the area of fuel cells in stationary applications, propane fuel cells, edge-of-grid applications for fuel cells, and energy storage in combination with fuel cells. The project demonstrated that it is technically feasible to meet the whole-house electrical energy needs of a typical upstate New York residence with a 5-kW fuel cell in combination with in-home energy storage without any major modifications to the residence or modifications to the consumption patterns of the residents of the home. The use of a fuel cell at constant output power through a 120-Volt inverter leads to system performance issues including: • relatively poor power quality as quantified by the IEEE-defined short term flicker parameter • relatively low overall system efficiency Each of these issues is discussed in detail in the text of this report. The fuel cell performed well over the 1-year demonstration period in terms of availability and efficiency of conversion from chemical energy (propane) to electrical energy at the fuel cell output terminals. Another strength of fuel cell performance in the demonstration was the low requirements for maintenance and repair on the fuel cell. The project uncovered a new and important installation consideration for propane fuel cells. Alcohol added to new propane storage tanks is preferentially absorbed on the surface of some fuel cell reformer desulfurization filters. The experience on this project indicates that special attention must be paid to the volume and composition of propane tank additives. Size, composition, and replacement schedules for the de-sulfurization filter bed should be adjusted to account for propane tank additives to avoid sulfur poisoning of fuel cell stacks. Despite good overall technical performance of the fuel cell and the whole energy system, the demonstration showed that such a system is not economically feasible as compared to other commercially available

  12. Optimal energy consumption algorithm based on speed reference generation for urban electric vehicles

    OpenAIRE

    Flores, Carlos; Milanés, Vicente; Pérez, Joshué; González, David; Nashashibi, Fawzi

    2015-01-01

    International audience; Power consumption and battery life are two of the key aspect when it comes to improve electric transportation systems autonomy. This paper describes the design, development and implementation of a speed profile generation based on the calculation of the optimal energy consumption for electric Cybercar vehicles for each of the stretches that are covering. The proposed system considers a commuter daily route that is already known. It divides the pre-defined route into se...

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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

  19. 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

  20. 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.

  1. 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.

  2. 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%.

  3. 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.

  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. GRAB-ECO for Minimal Fuel Consumption Estimation of Parallel Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Zhao Jianning

    2017-11-01

    Full Text Available As a promising solution to the reduction of fuel consumption and CO2 emissions in road transport sector, hybrid electric powertrains are confronted with complex control techniques for the evaluation of the minimal fuel consumption, particularly the excessively long computation time of the design-parameter optimization in the powertrain's early design stage. In this work, a novel and simple GRaphical-Analysis-Based method of fuel Energy Consumption Optimization (GRAB-ECO is developed to estimate the minimal fuel consumption for parallel hybrid electric powertrains in light- and heavy-duty application. Based on the power ratio between powertrain's power demand and the most efficient engine power, GRAB-ECO maximizes the average operating efficiency of the internal combustion engine by shifting operating points to the most efficient conditions, or by eliminating the engine operation from poorly efficient operating points to pure electric vehicle operation. A turning point is found to meet the requirement of the final state of energy of the battery, which is charge-sustaining mode in this study. The GRAB-ECO was tested with both light- and heavy-duty parallel hybrid electric vehicles, and validated in terms of the minimal fuel consumption and the computation time. Results show that GRAB-ECO accurately approximates the minimal fuel consumption with less than 6% of errors for both light- and heavy-duty parallel hybrid electric powertrains. Meanwhile, GRAB-ECO reduces computation time by orders of magnitude compared with PMP-based (Pontryagin's Minimum Principle approaches.

  6. 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.

  7. 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

  8. 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.)

  9. 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

    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......, 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...

  10. 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...

  11. 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

  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. 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

  14. Effects of Exchanging Battery on the Electric Vehicle’s Electricity Consumption in a Single-Lane Traffic System

    Directory of Open Access Journals (Sweden)

    Shi-Chun Yang

    2014-01-01

    Full Text Available We propose a car-following model to explore the influences of exchanging battery on each vehicle’s electricity consumption under three traffic situations from the numerical perspective. The numerical results show that exchanging battery will destroy the stability of traffic flow, but the effects are related to each vehicle’s initial headway, the time that each electric vehicle exchanges the battery, the proportion of the electric vehicles that should exchange the battery, the number of charging stations, and the distance between two adjacent charging stations.

  15. 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.

  16. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Tang, Chor Foon [Media Utara Resources, 675, Mk4, Bukit Merah, Permatang Pauh, 13500 Penang (Malaysia)

    2008-08-15

    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. (author)

  18. 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

  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. Health and ecological effects of electricity generation and consumption

    International Nuclear Information System (INIS)

    Duclos, J.; Midot, S.

    1984-01-01

    Comparison of the health and environmental effects of electricity production systems shows that the comprehensive French programme for nuclear power plant construction affords numerous advantages over an alternative programme of coal-fired plants: (1) by reducing health effects (2000 premature deaths will be prevented between 1973 and 1990) and (2) by lowering the releases of atmospheric pollutants (SO 2 releases from thermal power plants will be reduced to a third between 1980 and 1995). Moreover, replacement of fossil fuels by electricity from this source will further diminish atmospheric pollution among consumers. If this replacement accounts for about fifty TW.h in 1990, as planned, there will be an additional 6% reduction in SO 2 releases in France, as compared with 1980. (author)

  1. 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.

  2. 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

  3. 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.

  4. 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)

  5. Climate, weather, socio-economic and electricity usage data for the residential and commercial sectors in FL, U.S.

    Science.gov (United States)

    Mukhopadhyay, Sayanti; Nateghi, Roshanak

    2017-08-01

    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].

  6. 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].

  7. 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

  8. 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

  9. 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

  10. 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.

  11. 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

  12. 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.

  13. 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

  14. 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

  15. Learning Residential Electrical Wiring through Computer Simulation: The Impact of Computer-Based Learning Environments on Student Achievement and Cognitive Load

    Science.gov (United States)

    Liu, Han-Chin; Su, I-Hsien

    2011-01-01

    Multimedia learning environments such as computer simulations are widely accepted as tools for supporting science learning. Although the design of multimedia learning environments can be domain specific, few studies have focused on the use of computer simulations for learning residential electrical wiring. This study aimed to determine whether…

  16. 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.

  17. 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.

  18. 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)

  19. 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.

  20. A Symbolic Time-series Data Mining Framework for Analyzing Load Profiles of Electricity Consumption

    Directory of Open Access Journals (Sweden)

    I-Chin Wu

    2017-12-01

    Full Text Available Electricity is critical for industrial and economic advancement, as well as a driving force for sustainable development. In turn, reducing energy consumption for sustainability and both tracking and managing energy efficiently have become critical challenges. In this research, we analyzed electricity consumption from the perspective of load profiling, which charts variations in electrical load during a specified period in order to track energy consumption of an annealing furnace in a co-operating steel forging plant. We made a preliminary proposal to use a symbolic time-series data mining framework for electricity consumption analysis. First, we adopted a piecewise aggregate approximation (PAA approach to perform dimension reduction. Then, we refined the distance measure of the symbolic aggregate approximation (SAX algorithm. SAX is a symbolic representation of time-series for dimensionality reduction and indexing with a lower-bounding distance measure. Our experimental results showed that the dimension reduction method known as PAA can better detect the state of the annealing furnace compared to the fixed feature point (FFP method. In addition, the refined lower-bounding distance measure proved to be better than the traditional measure for calculating the similarity between energy load profiles. The results can help the plant conduct further normal and abnormal electricity pattern detection.

  1. 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)

  2. 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.

  3. 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

  4. 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...

  5. 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)

  6. Residential heat pumps in the future Danish energy system

    DEFF Research Database (Denmark)

    Petrovic, Stefan; Karlsson, Kenneth Bernard

    2016-01-01

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

  7. 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, 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 maximum correntropy criterion (MCC to forecast the electricity consumption (EC. Firstly, the electricity characteristics of various industries are analyzed to determine the factors that mainly affect the changes in electricity, such as the gross domestic product (GDP, temperature, and so on. Secondly, according to the statistics of the status quo of the small sample data, the LSSVM model is employed as the prediction model. In order to optimize the parameters of the LSSVM model, we further use the local similarity function MCC as the evaluation criterion. Thirdly, we employ the K-fold cross-validation and grid searching methods to improve the learning ability. In the experiments, we have used the EC data of Shaanxi Province in China to evaluate the proposed prediction scheme, and the results show that the proposed prediction scheme outperforms the method based on the traditional LSSVM model.

  8. 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.

  9. The opening of electricity and gas markets to residential customers. Annual barometer - First wave. December 2007

    International Nuclear Information System (INIS)

    2007-01-01

    Since July 1, 2007, French residential customers can freely chose their energy supplier. A quantitative inquiry has been carried out by LH2 on behalf of the French Energy Regulatory Commission (CRE) on a sample of 1501 households representative of the overall French households. The aim of this barometer is to answer the following questions: what is the level of knowledge and information of individuals about the opening of energy markets and the new regulation in force? How do they perceive this opening? What is their behaviour in front of the opening of markets to competition? Four years after the full opening of energy markets, this first inquiry has permitted to draw up a first status of the knowledge, behaviour and opinion of individuals with respect to the opening of these markets. (J.S.)

  10. Electric heating systems - Measures and options for the reduction of electricity consumption; Elektroheizungen Massnahmen und Vorgehensoptionen zur Reduktion des Stromverbrauchs

    Energy Technology Data Exchange (ETDEWEB)

    Nipkow, J.; Togni, G.

    2009-10-15

    This final report for the Swiss Federal Office of Energy (SFOE) takes a look at how electricity consumption for electrical heating systems can be reduced. The authors state that electric space heating consumes roughly 6% to 12% of Swiss electricity consumption, depending on the source of data. Important reduction potentials obtainable through the implementation of efficiency measures and substitution are well known. The results of two surveys on hardware installations and heating users' and utility companies' preferences are presented and discussed. The user survey yielded more than 900 evaluable answers. The main focus was on conditions considered necessary for changing a heating system. The utilities' survey was carried out by means of letters posted to 62 utilities, half of whom sent back evaluable answers. The main focus was on the number of dwellings supplied with electric space heating, current and past tariffs and utility activities to motivate customers to change their heating systems. The results showed that high investments necessary for a new heating system and additional thermal insulation of the building are the main obstacles for making changes. On the basis of the project's findings, a catalogue of measures was developed, whereby financial aspects and general conditions were taken into account.

  11. The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries

    International Nuclear Information System (INIS)

    Cowan, Wendy N.; Chang, Tsangyao; Inglesi-Lotz, Roula; Gupta, Rangan

    2014-01-01

    This study reexamines the causal link between electricity consumption, economic growth and CO 2 emissions in the BRICS countries (i.e., Brazil, Russia, India, China, and South Africa) for the period 1990–2010, using panel causality analysis, accounting for dependency and heterogeneity across countries. Regarding the electricity–GDP nexus, the empirical results support evidence on the feedback hypothesis for Russia and the conservation hypothesis for South Africa. However, a neutrality hypothesis holds for Brazil, India and China, indicating neither electricity consumption nor economic growth is sensitive to each other in these three countries. Regarding the GDP–CO 2 emissions nexus, a feedback hypothesis for Russia, a one-way Granger causality running from GDP to CO 2 emissions in South Africa and reverse relationship from CO 2 emissions to GDP in Brazil is found. There is no evidence of Granger causality between GDP and CO 2 emissions in India and China. Furthermore, electricity consumption is found to Granger cause CO 2 emissions in India, while there is no Granger causality between electricity consumption and CO 2 emissions in Brazil, Russia, China and South Africa. Therefore, the differing results for the BRICS countries imply that policies cannot be uniformly implemented as they will have different effects in each of the BRICS countries under study. - Highlights: • We examine the nexus of electricity, GDP growth and CO 2 emissions in BRICS. • We take into account cross-sectional dependency and heterogeneity across countries. • Electricity–GDP: Feedback for Russia and conservation for South Africa. • CO 2 –GDP feedback for Russia, from GDP to CO 2 in SA, CO 2 to GDP in Brazil. • Only from electricity consumption to emissions for India

  12. Assessment of end-use electricity consumption and peak demand by Townsville's housing stock

    International Nuclear Information System (INIS)

    Ren, Zhengen; Paevere, Phillip; Grozev, George; Egan, Stephen; Anticev, Julia

    2013-01-01

    We have developed a comprehensive model to estimate annual end-use electricity consumption and peak demand of housing stock, considering occupants' use of air conditioning systems and major appliances. The model was applied to analyse private dwellings in Townsville, Australia's largest tropical city. For the financial year (FY) 2010–11 the predicted results agreed with the actual electricity consumption with an error less than 10% for cooling thermostat settings at the standard setting temperature of 26.5 °C and at 1.0 °C higher than the standard setting. The greatest difference in monthly electricity consumption in the summer season between the model and the actual data decreased from 21% to 2% when the thermostat setting was changed from 26.5 °C to 27.5 °C. Our findings also showed that installation of solar panels in Townville houses could reduce electricity demand from the grid and would have a minor impact on the yearly peak demand. A key new feature of the model is that it can be used to predict probability distribution of energy demand considering (a) that appliances may be used randomly and (b) the way people use thermostats. The peak demand for the FY estimated from the probability distribution tracked the actual peak demand at 97% confidence level. - Highlights: • We developed a model to estimate housing stock energy consumption and peak demand. • Appliances used randomly and thermostat settings for space cooling were considered. • On-site installation of solar panels was also considered. • Its' results agree well with the actual electricity consumption and peak demand. • It shows the model could provide the probability distribution of electricity demand

  13. 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

  14. Market based solutions for increased flexibility in electricity consumption

    International Nuclear Information System (INIS)

    Grande, Ove S.; Saele, Hanne

    2005-06-01

    The main focus of this paper is on manual and automatic demand response to prices in the day ahead market. The content is mainly based on the results and experiences from the large scale Norwegian test and research project End User flexibility by efficient use of ICT (2001-2004) involving 10,894 customers with automatic meter reading (AMR) and remote load control (RLC) options. The response to hourly spot price products and intraday time of use (ToU) tariffs were tested. The registered response differs from 0.18-1 kWh/h in average per household customer for the different combination of these price signals. The largest response was achieved for the customers with both the ToU network tariff and hourly spot price. Some of the customers were offered remote controlled automatic disconnection of water heaters in the high price periods during week days. The test shows that the potential of load reduction from water heaters can be estimated to 0.6 kWh/h in the peak hours on average. For Norway this indicates that a total of 600 MWh/h automatic price elasticity could be achieved, provided that half of the 2 million Norwegian households accept RLC of their water heater referred to spot price. The benefit for load shifting is limited for each customer, but of great value for the power system as a whole. Combination of an hourly spot price contract with an intraday ToU network tariff should therefore be considered, in order to provide stable economic incentives for load reduction. One potential drawback for customers with spot price energy contracts is the risk of high electricity prices in periods of lasting scarcity. Combination with financial power contracts as an insurance for the customer is an option that will be examined in a follow up project

  15. 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.

  16. The opening of electricity and gas retail markets - Assessment 2009, Assessment 2010, Assessment 2011

    International Nuclear Information System (INIS)

    2010-01-01

    Three articles present and comment data related to the evolution of the electricity and gas retail markets after their opening in July 2007 and during respectively 2009, 2010 and 2011. This evolution is notably addressed in terms of number of residential and non-residential clients and sites, in terms of annual consumption for residential and non-residential sites, and in terms of site location in France

  17. Consumptive Water Use from Electricity Generation in the Southwest under Alternative Climate, Technology, and Policy Futures

    Energy Technology Data Exchange (ETDEWEB)

    Talati, Shuchi; Zhai, Haibo; Kyle, G. Page; Morgan, M. Granger; Patel, Pralit; Liu, Lu

    2016-10-21

    This research assesses climate, technological, and policy impacts on consumptive water use from electricity generation in the Southwest over a planning horizon of nearly a century. We employed an integrated modeling framework taking into account feedbacks between climate change, air temperature and humidity, and consequent power plant water requirements. These direct impacts of climate change on water consumption by 2095 differ with technology improvements, cooling systems, and policy constraints, ranging from a 3–7% increase over scenarios that do not incorporate ambient air impacts. Upon additional factors being changed that alter electricity generation, water consumption increases by up to 8% over the reference scenario by 2095. With high penetration of wet recirculating cooling, consumptive water required for low-carbon electricity generation via fossil fuels will likely exacerbate regional water pressure as droughts become more common and population increases. Adaptation strategies to lower water use include the use of advanced cooling technologies and greater dependence on solar and wind. Water consumption may be reduced by 50% in 2095 from the reference, requiring an increase in dry cooling shares to 35–40%. Alternatively, the same reduction could be achieved through photovoltaic and wind power generation constituting 60% of the grid, consistent with an increase of over 250% in technology learning rates.

  18. Modelling and predicting electricity consumption in Spain using the stochastic Gamma diffusion process with exogenous factors

    International Nuclear Information System (INIS)

    Nafidi, A.; Gutiérrez, R.; Gutiérrez-Sánchez, R.; Ramos-Ábalos, E.; El Hachimi, S.

    2016-01-01

    The aim of this study is to model electric power consumption during a period of economic crisis, characterised by declining gross domestic product. A novel aspect of this study is its use of a Gamma-type diffusion process for short and medium-term forecasting – other techniques that have been used to describe such consumption patterns are not valid in this situation. In this study, we consider a new extension of the stochastic Gamma diffusion process by introducing time functions (exogenous factors) that affect its trend. This extension is defined in terms of Kolmogorov backward and forward equations. After obtaining the transition probability density function and the moments (specifically, the trend function), the inference on the process parameters is obtained by discrete sampling of the sample paths. Finally, this stochastic process is applied to model total net electricity consumption in Spain, when affected by the following set of exogenous factors: Gross Domestic Product (GDP), Gross Fixed Capital Formation (GFCF) and Final Domestic Consumption (FDC). - Highlights: • The aim is modelling and predicting electricity consumption in Spain. • We propose a Gamma-type diffusion process for short and medium-term forecasting. • We compared the fit using diffusion processes with different exogenous factors.

  19. Analysis of electricity consumption: a study in the wood products industry

    Science.gov (United States)

    Henry Quesada-Pineda; Jan Wiedenbeck; Brian. Bond

    2016-01-01

    This paper evaluates the effect of industry segment, year, and US region on electricity consumption per employee, per dollar sales, and per square foot of plant area for wood products industries. Data was extracted from the Industrial Assessment Center (IAC) database and imported into MS Excel. The extracted dataset was examined for outliers and abnormalities with...

  20. The effect of providing free autopoweroff plugs to households on electricity consumption - a field experiment

    DEFF Research Database (Denmark)

    Jensen, Carsten Lynge; Hansen, Lars Gårn; Fjordbak, Troels

    on metered electricity consumption for different types of households. We find effects for single men and couples without children, while we find no effect for single women and households with children. We suggest that this could be because of differences in saving potential (e.g. some households do not have...

  1. Does energy consumption by the US electric power sector exhibit long memory behavior?

    International Nuclear Information System (INIS)

    Gil-Alana, Luis A.; Loomis, David; Payne, James E.

    2010-01-01

    This study analyzes energy consumption by the US electric power by various energy sources through fractional integration. In doing so, we are able to determine the level of persistence of the shocks affecting each energy source. The results indicate long memory behavior as each energy source is highly persistent, displaying long memory along with autoregressive behavior and strong seasonal patterns.

  2. Power to the Plug: An Introduction to Energy, Electricity, Consumption and Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    DOE / EERE / NEED Project

    2011-06-07

    The NEED Project and the U.S. Department of Energy have collaborated to bring you this educational four-page guide to energy, electricity, consumption and efficiency. It includes, on the last page, a home energy survey to help you analyze your home energy use.

  3. Strategies to reduce electricity consumption on dairy farms : an economic and environmental assessment

    NARCIS (Netherlands)

    Upton, J.R.

    2014-01-01

    The aim of this thesis was to assess how, and to what extent, do managerial and technology changes affect electricity consumption, associated costs and greenhouse gas (GHG) emissions of dairy farms. Dairy farms in Ireland are expected to expand in the future, due to policy incentives and the

  4. Report on renewable electricity self-consumption and self-production

    International Nuclear Information System (INIS)

    2014-12-01

    After having indicated the main conclusions of this study in terms of observations, of objectives of a support arrangement, and of recommendations for the photovoltaic sector, this report first presents the legal context and some definitions for energy self-production and self-consumption: foreign experiments, legal framework of photovoltaic electricity sales, definition of self-production and self-consumption. It proposes an overview of opportunities and stakes for self-production and self-consumption: potential benefits, impact on the electric grid, supply safety, grid control, supply-demand equilibrium, safety of persons and goods, flexibility of the electric system. It presents the different types of self-consumers and self-producers in the individual housing sector, in collective building and urban blocks, and in industrial and office buildings. It addresses the case of non-interconnected areas: context, opportunity, principles. It discusses the impact of self-production/self-consumption on the economic fundamentals of the electric system and on the financing of renewable energies. The remuneration and financing issues are then discussed (examples, net-metering system, additional premium system, other arrangements) as well as the architecture of a support system. Several contributions of an association of individual producers and of different professional bodies of the energy, photovoltaic, and building sectors are proposed in appendix

  5. Estimates of the cost and energy consumption of aluminum-air electric vehicles

    Science.gov (United States)

    Cooper, J. F.

    1980-11-01

    Economic costs and primary energy consumption are estimated for general purpose electric vehicles using aluminum-air propulsion batteries within the time frame of the 1990's (earliest possible date of introduction). For an aluminum-air fuel economy of 36 tonne/km/kg-Al (optimized low-gallium alloys), a total refueling cost of 5.6 cents/km (1979$) was estimated for a 1.27 tonne vehicle. This is equivalent to $2 to 3/gal for automobiles of the same weight with fuel economies of 13.5 to 19.3 tonne-km/liter. The total primary energy consumption was estimated to be 1.3 to 1.7 kWh/km (coal) for the electric vehicle, which corresponds roughly to the energy cost of the automobiles using liquid fuels synthesized from coal. The energy consumption is 30 to 70 percent greater than the reference automobile using petroleum-derived gasoline.

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

    OpenAIRE

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

    2017-01-01

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

  7. Electricity consumption and energy efficiency in agricultural factories; Stromverbrauch und Energieeffizienz im landwirtschaftlichen Betrieb

    Energy Technology Data Exchange (ETDEWEB)

    Neser, Stefan; Neiber, Josef; Bonkoss, Katja [Bayerische Landesanstalt fuer Landwirtschaft, Freising (Germany). Inst. fuer Landtechnik und Tierhaltung

    2012-11-15

    One main approach for energy conservation in pig farming factories is in the area of ventilation and the climate in the stable. The electricity consumption can be reduced significantly by means of aerodynamically favourable design of airflow and optimal dimensioning of the ventilation system as well as by control technology such as frequency control and EC technology. In the case of dairy cattle farming factories, the main approach for energy conservation is in the area of milk removal and cooling of milk. The energy consumption can be reduced significantly by energy efficient plants such as frequency controlled vacuum pumps, pre-cooling and heat-recovery. Fundamentally, beside the criterion electricity consumption, other criteria such as water consumption, functional reliability and the quality of the process should be considered in the decision-making in order to develop an energy efficient overall process. Especially the specific energy consumption of the individual components should be considered at new investments and replacement investments. The consideration of the factorial development as well as the actual and planned energy supply of the factory are of great importance due to the increasing energy prices. Thus, in future the reduction of the maximal power consumption and the factorial load management are of importance with respect to the adjustment to the profiles of power generation from renewable energies.

  8. ELECTRIC VEHICLE COLLABORATIVE CONSUMPT IMPACTS IN THE CITY OF SÃO PAULO

    Directory of Open Access Journals (Sweden)

    Regina da Silva Ornellas

    2013-08-01

    Full Text Available The growth of cities and populations has promoted the increase of income and consequently that of consumption. Some perceive growth in consumption as sign of a society´s development. However, upon analysis of the results arising from the increase of such consumption, it becomes apparent that it does spring both good and poor results, some of which might be irreversible. This consumption has been noted for expanding in both an unbridled and unsustainable manner, giving rise to damaging effects, particularly to the planet. An example of such rampant growth is that of the fleet of vehicles, which leads to increased traffic jams in the City that in turn generates pollutant gas emissions. Given this scenario, Collaborative Consumption - which in earlier days was solely perceived as a regular sharing mode (barter, loan, lease and exchange between people - is currently being established and disseminated through social networks, mobile devices and geolocation systems, technologies which enable anyone to find available and globally shareable locations, products and services. This movement, which is ever gaining strength and character, alongside electric vehicle technologies, is capable of transforming businesses and the way a society lives and consumes, bringing to light the philosophy of cost reduction and the incentive for passive consumers to become active contributors of a sustainable technology. This study´s purpose is to understand the dynamics of Collaborative Consumption and the impact of adherence to this new movement, on Electric Vehicles.

  9. Economic growth-electricity consumption causality in 12 European countries: A dynamic panel data approach

    International Nuclear Information System (INIS)

    Ciarreta, A.; Zarraga, A.

    2010-01-01

    This paper applies recent panel methodology to investigate the long-run and causal relationship between electricity consumption and real GDP for a set of 12 European countries using annual data for the period 1970-2007. The sample countries have moved faster than other neighboring countries towards the creation of a single electricity market over the past 30 years. Energy prices are also included in the study due to their important role in affecting the above variables, thus avoiding the problem of omitted variable bias. Tests for panel unit roots, cointegration in heterogeneous panels and panel causality are employed in a trivariate VECM estimated by system GMM. The results show evidence of a long-run equilibrium relationship between the three series and a negative short-run and strong causality from electricity consumption to GDP. As expected, there is bidirectional causality between energy prices and GDP and weaker evidence between electricity consumption and energy prices. These results support the policies implemented towards the creation of a common European electricity market.

  10. Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption

    International Nuclear Information System (INIS)

    Azadeh, A.; Tarverdian, S.

    2007-01-01

    This study presents an integrated algorithm for forecasting monthly electrical energy consumption based on genetic algorithm (GA), computer simulation and design of experiments using stochastic procedures. First, time-series model is developed as a benchmark for GA and simulation. 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 GA and simulated-based GA models are then developed by the selected time-series model. Therefore, there are four treatments to be considered in analysis of variance (ANOVA) which are actual data, time series, GA and simulated-based GA. Furthermore, ANOVA is used to test the null hypothesis of the above four alternatives being 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 Multiple Range Test (DMRT) method of paired comparison is used to select the optimum model, which could be time series, GA or simulated-based GA. 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-fit GA 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 GA 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 the proposed algorithm

  11. A decision support model for reducing electric energy consumption in elementary school facilities

    International Nuclear Information System (INIS)

    Hong, Taehoon; Koo, Choongwan; Jeong, Kwangbok

    2012-01-01

    Highlights: ► Decision support model is developed to reduce CO 2 emission in elementary schools. ► The model can select the school to be the most effective in energy savings. ► Decision tree improved the prediction accuracy by 1.83–3.88%. ► Using the model, decision-maker can save the electric-energy consumption by 16.58%. ► The model can make the educational-facility improvement program more effective. -- Abstract: The South Korean government has been actively promoting an educational-facility improvement program as part of its energy-saving efforts. This research seeks to develop a decision support model for selecting the facility expected to be effective in generating energy savings and making the facility improvement program more effective. In this research, project characteristics and electric-energy consumption data for the year 2009 were collected from 6282 elementary schools located in seven metropolitan cities in South Korea. In this research, the following were carried out: (i) a group of educational facilities was established based on electric-energy consumption, using a decision tree; (ii) a number of similar projects were retrieved from the same group of facilities, using case-based reasoning; and (iii) the accuracy of prediction was improved, using the combination of genetic algorithms, the artificial neural network, and multiple regression analysis. The results of this research can be useful for the following purposes: (i) preliminary research on the systematic and continuous management of educational facilities’ electric-energy consumption; (ii) basic research on electric-energy consumption prediction based on the project characteristics; and (iii) practical research for selecting an optimum facility that can more effectively apply an educational-facility improvement program as a decision support model.

  12. Effects of heat and electricity saving measures in district-heated multistory residential buildings

    International Nuclear Information System (INIS)

    Truong, Nguyen Le; Dodoo, Ambrose; Gustavsson, Leif

    2014-01-01

    Highlights: • We analyzed the potential for energy savings in district heated buildings. • Measures that reduce more peak load production give higher primary energy savings. • Efficient appliances increase heat demand but give net primary energy savings. • Efficient appliances give the largest net primary energy savings. - Abstract: The effects of heat and electricity saving measures in district-heated buildings can be complex because these depend not only on how energy is used on the demand side but also on how energy is provided from the supply side. In this study, we analyze the effects of heat and electricity saving measures in multistory concrete-framed and wood-framed versions of an existing district-heated building and examine the impacts of the reduced energy demand on different district heat (DH) production configurations. The energy saving measures considered are for domestic hot water reduction, building thermal envelope improvement, ventilation heat recovery (VHR), and household electricity savings. Our analysis is based on a measured heat load profile of an existing DH production system in Växjö, Sweden. Based on the measured heat load profile, we model three minimum-cost DH production system using plausible environmental and socio-political scenarios. Then, we investigate the primary energy implications of the energy saving measures applied to the two versions of the existing building, taking into account the changed DH demand, changed cogenerated electricity, and changed electricity use due to heat and electricity saving measures. Our results show that the difference between the final and primary energy savings of the concrete-framed and wood-framed versions of the case-study building is minor. The primary energy efficiency of the energy saving measures depends on the type of measure and on the composition of the DH production system. Of the various energy saving measures explored, electricity savings give the highest primary energy savings

  13. North-south polarization of European electricity consumption under future warming.

    Science.gov (United States)

    Wenz, Leonie; Levermann, Anders; Auffhammer, Maximilian

    2017-09-19

    There is growing empirical evidence that anthropogenic climate change will substantially affect the electric sector. Impacts will stem both from the supply side-through the mitigation of greenhouse gases-and from the demand side-through adaptive responses to a changing environment. Here we provide evidence of a polarization of both peak load and overall electricity consumption under future warming for the world's third-largest electricity market-the 35 countries of Europe. We statistically estimate country-level dose-response functions between daily peak/total electricity load and ambient temperature for the period 2006-2012. After removing the impact of nontemperature confounders and normalizing the residual load data for each country, we estimate a common dose-response function, which we use to compute national electricity loads for temperatures that lie outside each country's currently observed temperature range. To this end, we impose end-of-century climate on today's European economies following three different greenhouse-gas concentration trajectories, ranging from ambitious climate-change mitigation-in line with the Paris agreement-to unabated climate change. We find significant increases in average daily peak load and overall electricity consumption in southern and western Europe (∼3 to ∼7% for Portugal and Spain) and significant decreases in northern Europe (∼-6 to ∼-2% for Sweden and Norway). While the projected effect on European total consumption is nearly zero, the significant polarization and seasonal shifts in peak demand and consumption have important ramifications for the location of costly peak-generating capacity, transmission infrastructure, and the design of energy-efficiency policy and storage capacity.

  14. The role of energy and investment literacy for residential electricity demand and end-use efficiency

    NARCIS (Netherlands)

    Blasch, J.E.; Boogen, Nina; Filippini, Massimo; Kumar, Nilkanth

    2017-01-01

    This paper estimates the level of transient and persistent efficiency in the use of electricity in Swiss households using the newly developed generalized true random effects model (GTREM). An unbalanced panel dataset of 1, 994 Swiss households from 2010 to 2014 collected via a household survey is

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

    International Nuclear Information System (INIS)

    Craig, Christopher A.

    2016-01-01

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

  16. Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report

    Energy Technology Data Exchange (ETDEWEB)

    Eto, J.H.; Moezzi, M.M.

    1993-12-01

    This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

  17. Residential Fuel Cell Demonstration Handbook: National Rural Electric Cooperative Association Cooperative Research Network

    Energy Technology Data Exchange (ETDEWEB)

    Torrero, E.; McClelland, R.

    2002-07-01

    This report is a guide for rural electric cooperatives engaged in field testing of equipment and in assessing related application and market issues. Dispersed generation and its companion fuel cell technology have attracted increased interest by rural electric cooperatives and their customers. In addition, fuel cells are a particularly interesting source because their power quality, efficiency, and environmental benefits have now been coupled with major manufacturer development efforts. The overall effort is structured to measure the performance, durability, reliability, and maintainability of these systems, to identify promising types of applications and modes of operation, and to assess the related prospect for future use. In addition, technical successes and shortcomings will be identified by demonstration participants and manufacturers using real-world experience garnered under typical operating environments.

  18. Electricity consumption and economic growth in South Africa. A trivariate causality test

    Energy Technology Data Exchange (ETDEWEB)

    Odhiambo, Nicholas M. [Economics Department, University of South Africa (UNISA), P.O. Box 392, UNISA, 0003, Pretoria (South Africa)

    2009-09-15

    In this paper we examine the causal relationship between electricity consumption and economic growth in South Africa. We incorporate the employment rate as an intermittent variable in the bivariate model between electricity consumption and economic growth - thereby creating a simple trivariate causality framework. Our empirical results show that there is a distinct bidirectional causality between electricity consumption and economic growth in South Africa. In addition, the results show that employment in South Africa Granger-causes economic growth. The results apply irrespective of whether the causality is estimated in the short-run or in the long-run formulation. The study, therefore, recommends that policies geared towards the expansion of the electricity infrastructure should be intensified in South Africa in order to cope with the increasing demand exerted by the country's strong economic growth and rapid industrialisation programme. This will certainly enable the country to avoid unprecedented power outages similar to those experienced in the country in mid-January 2008. (author)

  19. Dealing with Demand in Electric Grids with an Adaptive Consumption Management Platform

    Directory of Open Access Journals (Sweden)

    Diego M. Jiménez-Bravo

    2018-01-01

    Full Text Available The control of consumption in homes and workplaces is an increasingly important aspect if we consider the growing popularity of smart cities, the increasing use of renewable energies, and the policies of the European Union on using energy in an efficient and clean way. These factors make it necessary to have a system that is capable of predicting what devices are connected to an electrical network. For demand management, the system must also be able to control the power supply to these devices. To this end, we propose the use of a multiagent system that includes agents with advanced reasoning and learning capacities. More specifically, the agents incorporate a case-based reasoning system and machine learning techniques. Besides, the multiagent system includes agents that are specialized in the management of the data acquired and the electrical devices. The aim is to adjust the consumption of electricity in networks to the electrical demand, and this will be done by acting automatically on the detected devices. The proposed system provides promising results; it is capable of predicting what devices are connected to the power grid at a high success rate. The accuracy of the system makes it possible to act according to the device preferences established in the system. This allows for adjusting the consumption to the current demand situation, without the risk of important home appliances being switched off.

  20. Estimation of energy efficiency of residential buildings

    Directory of Open Access Journals (Sweden)

    Glushkov Sergey

    2017-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-11-20

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

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

    International Nuclear Information System (INIS)

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

    2016-01-01

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

  3. Impact of the electric compressor for automotive air conditioning system on fuel consumption and performance analysis

    Science.gov (United States)

    Zulkifli, A. A.; Dahlan, A. A.; Zulkifli, A. H.; Nasution, H.; Aziz, A. A.; Perang, M. R. M.; Jamil, H. M.; Misseri, M. N.

    2015-12-01

    Air conditioning system is the biggest auxiliary load in a vehicle where the compressor consumed the largest. Problem with conventional compressor is the cooling capacity cannot be control directly to fulfill the demand of thermal load inside vehicle cabin. This study is conducted experimentally to analyze the difference of fuel usage and air conditioning performance between conventional compressor and electric compressor of the air conditioning system in automobile. The electric compressor is powered by the car battery in non-electric vehicle which the alternator will recharge the battery. The car is setup on a roller dynamometer and the vehicle speed is varied at 0, 30, 60, 90 and 110 km/h at cabin temperature of 25°C and internal heat load of 100 and 400 Watt. The results shows electric compressor has better fuel consumption and coefficient of performance compared to the conventional compressor.

  4. ANALISYS OF THE EFFICENCY OF THE SOURCES OF ELECTRIC AND THERMAL ENERGY IN VIEW OF SPECIFIC FUEL CONSUMPTION

    Directory of Open Access Journals (Sweden)

    Postolaty V.M.

    2012-12-01

    Full Text Available Methodological approach to the evaluation of specific energy consumption of the primary fuel for electricity and heat for the various types of power plants is designed. Method of reduction electrical energy to a thermal unit is offered. Analysis of changes specific energy consumption for different shares of electric and heat energy in the total production of energy is held. Advantages of combined cycle power plants are shown.

  5. An analysis of the welfare and distributive implications of factors influencing household electricity consumption

    International Nuclear Information System (INIS)

    Romero-Jordán, Desiderio; Río, Pablo del; Peñasco, Cristina

    2016-01-01

    The deep economic crisis and the sharp rise in electricity prices have reduced electricity demand by Spanish households. This paper aims to analyse the responsiveness of household electricity demand and the welfare effects related to both factors in the 2006–2012 period by applying a demand model estimated with the quantile regression method. The results show that the electricity consumption of medium-high income households is particularly responsive to price increases, whereas that of medium-low income households is more responsive to changes in income. The retail electricity price increases and the economic crisis have led to lower and steeper U-shape price elasticities of demand and higher and steeper N-shape income elasticities of demand. The joint impact of those two factors on the welfare of lower-income households is higher in relative terms (i.e., as a share of household income) than for other income groups. These results suggest that the economic crisis and increases in retail electricity prices have had detrimental welfare effects, especially on the lower-income segment of the population. They should be considered when financing climate and energy policies through the electricity bill and provide a rationale to take such support, which pushes the retail electricity price upwards, out of the electricity bill. - Highlights: • Impact of the economic crisis and higher electricity prices on electricity demand. • Analysis of the welfare effects. • Lower and steeper U-shape price elasticities of demand. • Higher and steeper N-shape income elasticities of demand. • Welfare of lower-income households more negatively affected.

  6. Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain

    Energy Technology Data Exchange (ETDEWEB)

    Bakhat, Mohcine, E-mail: mohcine_bakhat@yahoo.com; Rossello, Jaume

    2011-05-15

    Tourism has started to be acknowledged as a significant contributor to the increase in environmental externalities, especially to climate change. Various studies have started to estimate and compute the role of the different tourism sectors' contributions to greenhouse gas (GHG) emissions. These estimations have been made from a sectoral perspective, assessing the contribution of air transport, the accommodation sector, or other tourism-related economic sectors. However, in order to evaluate the impact of this sector on energy use the approaches used in the literature consider tourism in its disaggregated way. This paper assesses the electricity demand pattern and investigates the aggregated contribution of tourism to electricity consumption using the case study of the Balearic Islands (Spain). Using a conventional daily electricity demand model, including data for daily stocks of tourists the impact of the different population growth rate scenarios on electricity loads is also investigated. The results show that, in terms of electricity consumption, tourism cannot be considered a very energy-intensive sector.

  7. Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain

    International Nuclear Information System (INIS)

    Bakhat, Mohcine; Rossello, Jaume

    2011-01-01

    Tourism has started to be acknowledged as a significant contributor to the increase in environmental externalities, especially to climate change. Various studies have started to estimate and compute the role of the different tourism sectors' contributions to greenhouse gas (GHG) emissions. These estimations have been made from a sectoral perspective, assessing the contribution of air transport, the accommodation sector, or other tourism-related economic sectors. However, in order to evaluate the impact of this sector on energy use the approaches used in the literature consider tourism in its disaggregated way. This paper assesses the electricity demand pattern and investigates the aggregated contribution of tourism to electricity consumption using the case study of the Balearic Islands (Spain). Using a conventional daily electricity demand model, including data for daily stocks of tourists the impact of the different population growth rate scenarios on electricity loads is also investigated. The results show that, in terms of electricity consumption, tourism cannot be considered a very energy-intensive sector.

  8. Water withdrawal and consumption reduction analysis for electrical energy generation system

    Science.gov (United States)

    Nouri, Narjes

    There is an increasing concern over shrinking water resources. Water use in the energy sector primarily occurs in electricity generation. Anticipating scarcer supplies, the value of water is undoubtedly on the rise and design, implementation, and utilization of water saving mechanisms in energy generation systems are becoming inevitable. Most power plants generate power by boiling water to produce steam to spin electricity-generating turbines. Large quantities of water are often used to cool the steam in these plants. As a consequence, most fossil-based power plants in addition to consuming water, impact the water resources by raising the temperature of water withdrawn for cooling. A comprehensive study is conducted in this thesis to analyze and quantify water withdrawals and consumption of various electricity generation sources such as coal, natural gas, renewable sources, etc. Electricity generation for the state of California is studied and presented as California is facing a serious drought problem affecting more than 30 million people. Integrated planning for the interleaved energy and water sectors is essential for both water and energy savings. A linear model is developed to minimize the water consumption while considering several limitations and restrictions. California has planned to shut down some of its hydro and nuclear plants due to environmental concerns. Studies have been performed for various electricity generation and water saving scenarios including no-hydro and no-nuclear plant and the results are presented. Modifications to proposed different scenarios have been applied and discussed to meet the practical and reliability constraints.

  9. Structural analysis of electricity consumption by productive sectors. The Spanish case

    Energy Technology Data Exchange (ETDEWEB)

    Alcantara, Vicent [Departamento de Economia Aplicada, Facultad de Ciencias Economicas, Universitat Autonoma de Barcelona, Edificio B 08193 Bellaterra (Barcelona) (Spain); del Rio, Pablo; Hernandez, Felix [Institute for Public Goods and Policies (IPP), Centro de Ciencias Humanas y Sociales, Consejo Superior de Investigaciones Cientificas (CSIC), C/Albasanz 26-28, Madrid 28037 (Spain)

    2010-05-15

    The aim of this paper is to identify those sectors that contribute most to electricity consumption in Spain, using a methodology based on input-output tables, and to derive some recommendations aimed at increasing energy efficiency in those sectors. This input-output approach is complemented with a sector-focused study in which the availability of electricity-efficient technologies per sector and the barriers to their uptake are identified. This hybrid approach is deemed useful to derive policy implications. We thus propose several instruments to remove those barriers. (author)

  10. Harnessing Big-Data for Estimating the Energy Consumption and Driving Range of Electric Vehicles

    DEFF Research Database (Denmark)

    Fetene, Gebeyehu Manie; Prato, Carlo Giacomo; Kaplan, Sigal

    -effects econometrics model used in this paper predicts that the energy saving speed of driving is between 45 and 56 km/h. In addition to the contribution to the literature about energy efficiency of electric vehicles, the findings from this study enlightens consumers to choose appropriate cars that suit their travel......This study analyses the driving range and investigates the factors affecting the energy consumption rate of fully-battery electric vehicles under real-world driving patterns accounting for weather condition, drivers’ characteristics, and road characteristics. Four data sources are used: (i) up...

  11. Structural analysis of electricity consumption by productive sectors. The Spanish case

    International Nuclear Information System (INIS)

    Alcantara, Vicent; Rio, Pablo del; Hernandez, Felix

    2010-01-01

    The aim of this paper is to identify those sectors that contribute most to electricity consumption in Spain, using a methodology based on input-output tables, and to derive some recommendations aimed at increasing energy efficiency in those sectors. This input-output approach is complemented with a sector-focused study in which the availability of electricity-efficient technologies per sector and the barriers to their uptake are identified. This hybrid approach is deemed useful to derive policy implications. We thus propose several instruments to remove those barriers.

  12. Analysis of the electrical bills of residential consumers: tax and economic aspects; Analise da fatura de energia eletrica de consumidores residenciais: aspectos economicos e tributarios

    Energy Technology Data Exchange (ETDEWEB)

    Reis, Lindemberg Nunes; Pinto, Danilo Pereira [Universidade Federal de Juiz de Fora, MG (Brazil). Fac. de Engenharia], e-mail: lnunesreis@yahoo.com.br, e-mail: danilo.pinto@ufjf.edu.br

    2008-07-01

    Residential consumers represent a significant part of the market of electric energy and are increasing by deriving tributes of the tariff of energy. These consumers are uninformed about the abuses that happen to them. This work has as objective to analyze and to argue the behavior of the tariffs of energy in the period of 2002 the 2006, demonstrating the occurred increases and pointing a relation enters the rise of the price of this energy and the increase of the number of clandestine linkings and difficulty to hold the basics statements of actually electrical regiments. ANEEL's data show that in 1995 the tariff for class residential was R$ 76.26 and industrial was R$ 43.59; in 2003 passed respectively to R$ 236.34 and R$ 110.48. This analysis is directly related to the difficulty of obtaining a national energy management totally sustainable. (author)

  13. Fundamental Characteristics of Laboratory Scale Model DC Microgrid to Exchange Electric Power from Distributed Generations installed in Residential Houses

    Science.gov (United States)

    Kakigano, Hiroaki; Hashimoto, Takuya; Matsumura, Yohei; Kurotani, Takashi; Iwamoto, Wataru; Miura, Yushi; Ise, Toshifumi; Momose, Toshinari; Hayakawa, Hideki

    DC microgrid is a novel power system using dc distribution in order to provide a super high quality power. This dc system is suitable for dc output type distributed generations and energy storages. In this research, we assumed one type of the dc microgrids for residential houses (apartment house or housing complex). Each residence has a distributed generation such as gas engine or fuel cell. Those cogenerations are connected to the dc power line, and the electricity from the generations can be shared among the residences. The hot water from the cogeneration is used in each residence. We constructed an experimental system based on this concept in our laboratory. We have studied the fundamental characteristics and the quality of the supplied power to the loads against several fluctuations or faults. Experimental results demonstrated that the system could supply high quality power to the loads against a sudden load variation and a voltage sag of the utility grid. Afterwards, we moved the experimental system to an experimental apartment house (NEXT21). We studied the quality of the supplying power by using practical power line, and confirmed that the system was also able to supply a power to home appliances stably.

  14. The effectiveness of energy efficiency improvement in a developing country: Rebound effect of residential electricity use in South Korea

    International Nuclear Information System (INIS)

    Jin, Sang-Hyeon

    2007-01-01

    The government of South Korea considers an energy efficiency improvement policy an effective economic measure for climate change like many other governments. But it is unaware of any 'rebound effect', the unexpected result of energy efficiency improvement. So the rebound effect of residential electricity use in South Korea was estimated using two different scales in this paper. At the macro level, the rebound effect was estimated indirectly by using price elasticity, and at the micro level, the rebound effect of individual home appliances was estimated directly by using a non-linear relationship between energy efficiency and energy use. At the macro level, the long- and short-term results of rebound effect were estimated at 30% and 38%, respectively. Also at the micro level, the rebound effect of air conditioners was 57-70%; while refrigerators showed only a composite of rebound and income effects. Finally, there was no backfire effect, and efficiency improvement brought energy reduction. In conclusion, these suggest that rebound effect is an important factor that the government of South Korea must consider when planning its energy efficiency improvement policy. (author)

  15. Rising electricity consumption: Driving forces and consequences. The case of rural Zanzibar

    Energy Technology Data Exchange (ETDEWEB)

    Winther, Tanja [Centre for Development and the Environment (SUM), Univ. of Oslo (Norway)

    2007-07-01

    The paper addresses the current, rising electricity consumption in the southern, rural locality of Zanzibar and seeks to account for the range of driving forces behind people's changed practices. The author argues that these forces are, on the one hand, determined by the availability of new technologies and through global and national institutions and influences such as Islam, commercials and changes in the governmental sector (health, education). On the other hand, the paper explores the way such influences interplay with the internal dynamics related to increasing consumption. Through an analysis of the particular character and dynamics of social and cultural life in this region, the author explains why some practices are less likely to change than other practices. For example, people in Zanzibar keep electricity (freezers and stoves) at a distance from their food. By contrast, electric light is perceived as intimately related to education, as illustrated when school children are sent to school for night classes before important exams. To which extent may general approaches to the study of energy consumption draw on this empirical case from Zanzibar? In other contexts, the patterns of people's electricity use certainly differ. In terms of sustainable energy policies, each locality has a particular set of challenges and goals, which to varying degree may be related to poverty reduction and concern for the environment. Methodologically, however, the author argues that the phenomenon of energy consumption may be studied and understood within the same framework of analysis; one that pays attention to both external and internal dynamics, the material and social aspects of technologies and the importance of power relations, gender and negotiations.

  16. Assessing the Environmental Costs and Benefits of Households Electricity Consumption Management

    OpenAIRE

    Segtnan, Ida Lund

    2011-01-01

    In this study the environmental costs and benefits of smart metering technology systems installed in households in Norway have been assessed. Smart metering technology systems enable mechanisms to manage electricity consumption by shifting loads. With the use of Life Cycle Assessment (LCA) and the ReCiPe method for impact assessment, the life cycle impacts of installation and operation of a system in a household have been found. Environmental benefits of using the systems to manage electricit...

  17. Analyzing the effects of Energy Action Plans on electricity consumption in Covenant of Mayors signatory municipalities in Andalusia

    International Nuclear Information System (INIS)

    Pablo-Romero, María del P.; Pozo-Barajas, Rafael; Sánchez-Braza, Antonio

    2016-01-01

    The Covenant of Mayors (CM) is an initiative by which towns, cities and regions voluntarily commit to reduce their CO 2 emissions beyond the European Union climate targets, through policies promoting energy saving and renewable energy. The aim of this paper is to analyze whether joining the CM is reducing municipalities' electricity consumption, and therefore their emissions. For this purpose, the evolution of total, household and public administration electricity consumption from 2001 to 2012 is analyzed by using panel data econometric techniques. This analysis is made for municipalities in Andalusia, the region of Spain with more signatories. Obtained results show that the CM is having a positive effect on the electricity consumption reductions, since the municipalities have greater rates of reduction of electricity consumption after signing the CM. Therefore, it may be considered appropriate to promote policies which incentivize the municipalities to join the CM and develop their action plans, as this can reduce their electricity consumption. - Highlights: • We analyze whether joining the CM is reducing municipalities' electricity consumption. • Results show a positive influence of CM in reducing electricity consumption. • Promoting policies that incentivize to join the CM is appropriate.

  18. Structured Literature Review of Electricity Consumption Classification Using Smart Meter Data

    Directory of Open Access Journals (Sweden)

    Alexander Martin Tureczek

    2017-04-01

    Full Text Available Smart meters for measuring electricity consumption are fast becoming prevalent in households. The meters measure consumption on a very fine scale, usually on a 15 min basis, and the data give unprecedented granularity of consumption patterns at household level. A multitude of papers have emerged utilizing smart meter data for deepening our knowledge of consumption patterns. This paper applies a modification of Okoli’s method for conducting structured literature reviews to generate an overview of research in electricity customer classification using smart meter data. The process assessed 2099 papers before identifying 34 significant papers, and highlights three key points: prominent methods, datasets and application. Three important findings are outlined. First, only a few papers contemplate future applications of the classification, rendering papers relevant only in a classification setting. Second; the encountered classification methods do not consider correlation or time series analysis when classifying. The identified papers fail to thoroughly analyze the statistical properties of the data, investigations that could potentially improve classification performance. Third, the description of the data utilized is of varying quality, with only 50% acknowledging missing values impact on the final sample size. A data description score for assessing the quality in data description has been developed and applied to all papers reviewed.

  19. Modelling the Effect of Driving Events on Electrical Vehicle Energy Consumption Using Inertial Sensors in Smartphones

    Directory of Open Access Journals (Sweden)

    David Jiménez

    2018-02-01

    Full Text Available Air pollution and climate change are some of the main problems that humankind is currently facing. The electrification of the transport sector will help to reduce these problems, but one of the major barriers for the massive adoption of electric vehicles is their limited range. The energy consumption in these vehicles is affected, among other variables, by the driving behavior, making range a value that must be personalized to each driver and each type of electric vehicle. In this paper we offer a way to estimate a personalized energy consumption model by the use of the vehicle dynamics and the driving events detected by the use of the smartphone inertial sensors, allowing an easy and non-intrusive manner to predict the correct range for each user. This paper proposes, for the classification of events, a deep neural network (Long-Short Time Memory which has been trained with more than 22,000 car trips, and the application to improve the consumption model taking into account the driver behavior captured across different trips, allowing a personalized prediction. Results and validation in real cases show that errors in the predicted consumption values are halved when abrupt events are considered in the model.

  20. Dynamic management of integrated residential energy systems

    Science.gov (United States)

    Muratori, Matteo

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

  1. The Effect of Feedback by SMS-text messages and email on Household Electricity Consumption: Experimental Evidence

    DEFF Research Database (Denmark)

    Larsen, Anders

    2010-01-01

    This paper analyzes the effect of supplying online feedback by SMS-text messages 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 groups. Feedback was supplied throughout 2007 to members of the experiment groups who accepted the invitation, and data on consumption of electricity for 2006 and 2007 collected for all participants and control group members. 30% of the households invited to receive feedback accepted...

  2. Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China

    Energy Technology Data Exchange (ETDEWEB)

    Ou, Xunmin [Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China); China Automotive Energy Research Center (CAERC), Beijing 100084 (China); School of Public Policy and Management (SPPM), Tsinghua University, Beijing 100084 (China); Xiaoyu, Yan [Smith School of Enterprise and the Environment, University of Oxford, Oxford OX1 2BQ (United Kingdom); Zhang, Xiliang [Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China); China Automotive Energy Research Center (CAERC), Beijing 100084 (China)

    2011-01-15

    The Well-to-Meter (WTM) analysis module in the Tsinghua-CA3EM model has been used to examine the primary fossil energy consumption (PFEC) and greenhouse gas (GHG) emissions for electricity generation and supply in China. The results show that (1) the WTM PFEC and GHG emission intensities for the 2007 Chinese electricity mix are 3.247 MJ/MJ and 297.688 g carbon dioxide of equivalent (gCO{sub 2,e})/MJ, respectively; (2) power generation is the main contributing sub-stage; (3) the coal-power pathway is the only major contributor of PFEC (96.23%) and GHG emissions (97.08%) in the 2007 mix; and (4) GHG emissions intensity in 2020 will be reduced to 220.470 gCO{sub 2,e}/MJ with the development of nuclear and renewable energy and to 169.014 gCO{sub 2,e}/MJ if carbon dioxide capture and storage (CCS) technology is employed. It is concluded that (1) the current high levels of PFEC and GHG emission for electricity in China are largely due to the dominant role of coal in the power-generation sector and the relatively low efficiencies during all the sub-stages from resource extraction to final energy consumption and (2) the development of nuclear and renewable energy as well as low carbon technologies such as CCS can significantly reduce GHG emissions from electricity. (author)

  3. Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China

    International Nuclear Information System (INIS)

    Ou, Xunmin; Xiaoyu, Yan; Zhang, Xiliang

    2011-01-01

    The Well-to-Meter (WTM) analysis module in the Tsinghua-CA3EM model has been used to examine the primary fossil energy consumption (PFEC) and greenhouse gas (GHG) emissions for electricity generation and supply in China. The results show that (1) the WTM PFEC and GHG emission intensities for the 2007 Chinese electricity mix are 3.247 MJ/MJ and 297.688 g carbon dioxide of equivalent (gCO 2,e )/MJ, respectively; (2) power generation is the main contributing sub-stage; (3) the coal-power pathway is the only major contributor of PFEC (96.23%) and GHG emissions (97.08%) in the 2007 mix; and (4) GHG emissions intensity in 2020 will be reduced to 220.470 gCO 2,e /MJ with the development of nuclear and renewable energy and to 169.014 gCO 2,e /MJ if carbon dioxide capture and storage (CCS) technology is employed. It is concluded that (1) the current high levels of PFEC and GHG emission for electricity in China are largely due to the dominant role of coal in the power-generation sector and the relatively low efficiencies during all the sub-stages from resource extraction to final energy consumption and (2) the development of nuclear and renewable energy as well as low carbon technologies such as CCS can significantly reduce GHG emissions from electricity. (author)

  4. Hybrid renewable energy system application for electricity and heat supply of a residential building

    Directory of Open Access Journals (Sweden)

    Nakomčić-Smaragdakis Branka B.

    2016-01-01

    Full Text Available Renewable and distributed energy systems could provide a solution to the burning issue of reliable and clean supply of energy, having in mind current state and future predictions for population growth and fossil fuel scarcity. Hybrid renewable energy systems are novelty in Serbia and warrant further detailed research. The aim of this paper is to analyze the application of renewable energy sources(RES for electricity and heat supply of a typical household in Serbia, as well as the cost-effectiveness of the proposed system. The influence of feed-in tariff change on the value of the investment is analyzed. Small, grid-connected hybrid system (for energy supply of a standard household, consisting of geothermal heat pump for heating/cooling, solar photovoltaic panels and small wind turbine for power supply is analyzed as a case study. System analysis was conducted with the help of RETScreen software. Results of techno-economics analysis have shown that investing in geothermal heat pump and photovoltaic panels is cost-effective, while that is not the case with small wind turbine.

  5. Impact of Rate Design Alternatives on Residential Solar Customer Bills. Increased Fixed Charges, Minimum Bills and Demand-based Rates

    Energy Technology Data Exchange (ETDEWEB)

    Bird, Lori [National Renewable Energy Lab. (NREL), Golden, CO (United States); Davidson, Carolyn [National Renewable Energy Lab. (NREL), Golden, CO (United States); McLaren, Joyce [National Renewable Energy Lab. (NREL), Golden, CO (United States); Miller, John [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2015-09-01

    With rapid growth in energy efficiency and distributed generation, electric utilities are anticipating stagnant or decreasing electricity sales, particularly in the residential sector. Utilities are increasingly considering alternative rates structures that are designed to recover fixed costs from residential solar photovoltaic (PV) customers with low net electricity consumption. Proposed structures have included fixed charge increases, minimum bills, and increasingly, demand rates - for net metered customers and all customers. This study examines the electricity bill implications of various residential rate alternatives for multiple locations within the United States. For the locations analyzed, the results suggest that residential PV customers offset, on average, between 60% and 99% of their annual load. However, roughly 65% of a typical customer's electricity demand is non-coincidental with PV generation, so the typical PV customer is generally highly reliant on the grid for pooling services.

  6. Research on electricity consumption forecast based on mutual information and random forests algorithm

    Science.gov (United States)

    Shi, Jing; Shi, Yunli; Tan, Jian; Zhu, Lei; Li, Hu

    2018-02-01

    Traditional power forecasting models cannot efficiently take various factors into account, neither to identify the relation factors. In this paper, the mutual information in information theory and the artificial intelligence random forests algorithm are introduced into the medium and long-term electricity demand prediction. Mutual information can identify the high relation factors based on the value of average mutual information between a variety of variables and electricity demand, different industries may be highly associated with different variables. The random forests algorithm was used for building the different industries forecasting models according to the different correlation factors. The data of electricity consumption in Jiangsu Province is taken as a practical example, and the above methods are compared with the methods without regard to mutual information and the industries. The simulation results show that the above method is scientific, effective, and can provide higher prediction accuracy.

  7. A minimally intrusive monitoring system that utilizes electricity consumption as a proxy for wellbeing

    Directory of Open Access Journals (Sweden)

    Tim D. Hunt

    Full Text Available The purpose of this work was to test the hypothesis: \\'Off-the-shelf domestic electricity meters can be utilised to assist in monitoring the wellbeing of elderly people\\'. Many studies have shown that it is, in theory, possible to use domestic electricity consumption to determine \\'activities of daily living\\' but the availability of systems for actual use is very limited. This work followed the Design Science Research Methodology to create a Java application running on the Google App Engine cloud service that interfaced with both electricity meters and voice and text services. The system was implemented and tested over a three month period with one older person and their carer. Results demonstrated that the technology readily succeeds in meeting the study\\'s initial objectives. The need for more sophisticated decision logic was apparent and a method to determine whether a home is currently occupied is likely to improve the ability to create more timely alerts.

  8. Energy consumption in Hodgkin–Huxley type fast spiking neuron model exposed to an external electric field

    Directory of Open Access Journals (Sweden)

    K. Usha

    2016-09-01

    Full Text Available This paper evaluates the change in metabolic energy required to maintain the signalling activity of neurons in the presence of an external electric field. We have analysed the Hodgkin–Huxley type conductance based fast spiking neuron model as electrical circuit by changing the frequency and amplitude of the applied electric field. The study has shown that, the presence of electric field increases the membrane potential, electrical energy supply and metabolic energy consumption. As the amplitude of applied electric field increases by keeping a constant frequency, the membrane potential increases and consequently the electrical energy supply and metabolic energy consumption increases. On increasing the frequency of the applied field, the peak value of membrane potential after depolarization gradually decreases as a result electrical energy supply decreases which results in a lower rate of hydrolysis of ATP molecules.

  9. On the dynamics of aggregate output, electricity consumption and exports in Malaysia: Evidence from multivariate Granger causality tests

    International Nuclear Information System (INIS)

    Lean, Hooi Hooi; Smyth, Russell

    2010-01-01

    This paper employs annual data from 1971 to 2006 to examine the causal relationship between aggregate output, electricity consumption, exports, labor and capital in a multivariate model for Malaysia. We find that there is bidirectional Granger causality running between aggregate output and electricity consumption. The policy implication of this result is that Malaysia should adopt the dual strategy of increasing investment in electricity infrastructure and stepping up electricity conservation policies to reduce unnecessary wastage of electricity, in order to avoid the negative effect of reducing electricity consumption on aggregate output. We also find support for the export-led hypothesis which states Granger causality runs from exports to aggregate output. This result is consistent with Malaysia pursuing a successful export-orientated strategy. (author)

  10. Modeling of electricity consumption in the Asian gaming and tourism center - Macao SAR, People's Republic of China

    Energy Technology Data Exchange (ETDEWEB)

    Lai, T.M.; To, W.M. [School of Business, Macao Polytechnic Institute, Macao SAR (China); Lo, W.C. [Department of Electrical Engineering, Hong Kong Polytechnic University, Hong Kong SAR (China); Choy, Y.S. [Department of Mechanical Engineering, Hong Kong Polytechnic University, Hong Kong SAR (China)

    2008-05-15

    The use of electricity is indispensable to modern life. As Macao Special Administrative Region becomes a gaming and tourism center in Asia, modeling the consumption of electricity is critical to Macao's economic development. The purposes of this paper are to conduct an extensive literature review on modeling of electricity consumption, and to identify key climatic, demographic, economic and/or industrial factors that may affect the electricity consumption of a country/city. It was identified that the five factors, namely temperature, population, the number of tourists, hotel room occupancy and days per month, could be used to characterize Macao's monthly electricity consumption. Three selected approaches including multiple regression, artificial neural network (ANN) and wavelet ANN were used to derive mathematical models of the electricity consumption. The accuracy of these models was assessed by using the mean squared error (MSE), the mean squared percentage error (MSPE) and the mean absolute percentage error (MAPE). The error analysis shows that wavelet ANN has a very promising forecasting capability and can reveal the periodicity of electricity consumption. (author)

  11. Electricity consumption-real GDP causality nexus: Evidence from a bootstrapped causality test for 30 OECD countries

    International Nuclear Information System (INIS)

    Narayan, Paresh Kumar; Prasad, Arti

    2008-01-01

    The goal of this paper is to examine any causal effects between electricity consumption and real GDP for 30 OECD countries. We use a bootstrapped causality testing approach and unravel evidence in favour of electricity consumption causing real GDP in Australia, Iceland, Italy, the Slovak Republic, the Czech Republic, Korea, Portugal, and the UK. The implication is that electricity conservation policies will negatively impact real GDP in these countries. However, for the rest of the 22 countries our findings suggest that electricity conversation policies will not affect real GDP

  12. Differentiated long term projections of the hourly electricity consumption in local areas. The case of Denmark West

    DEFF Research Database (Denmark)

    Møller Andersen, Frits; Larsen, Helge V.; Juul, Nina

    2014-01-01

    consumption by categories of customers and data for the hourly consumption at each transformer station for the years 2009–2011. Applying the model for load forecasts, a major conclusion is that different transformer stations will experience different changes both in the level - and in the hourly profile......Assessing grid developments the spatial distribution of the electricity consumption is important. In Denmark the electricity grid consists of transmission – and local distribution grids with different voltages that are connected via transformer stations each covering a local area with between 10.......000 and 100.000 customers. Data for the hourly electricity consumption at transformer stations shows that the profile of consumption differs considerably between local areas, and this is partly due to a different weight of categories of customers in the different areas. Categories of customers have quite...

  13. Fuel consumption optimization for smart hybrid electric vehicle during a car-following process

    Science.gov (United States)

    Li, Liang; Wang, Xiangyu; Song, Jian

    2017-03-01

    Hybrid electric vehicles (HEVs) provide large potential to save energy and reduce emission, and smart vehicles bring out great convenience and safety for drivers. By combining these two technologies, vehicles may achieve excellent performances in terms of dynamic, economy, environmental friendliness, safety, and comfort. Hence, a smart hybrid electric vehicle (s-HEV) is selected as a platform in this paper to study a car-following process with optimizing the fuel consumption. The whole process is a multi-objective optimal problem, whose optimal solution is not just adding an energy management strategy (EMS) to an adaptive cruise control (ACC), but a deep fusion of these two methods. The problem has more restricted conditions, optimal objectives, and system states, which may result in larger computing burden. Therefore, a novel fuel consumption optimization algorithm based on model predictive control (MPC) is proposed and some search skills are adopted in receding horizon optimization to reduce computing burden. Simulations are carried out and the results indicate that the fuel consumption of proposed method is lower than that of the ACC+EMS method on the condition of ensuring car-following performances.

  14. Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities

    Directory of Open Access Journals (Sweden)

    Rubén Pérez-Chacón

    2018-03-01

    Full Text Available New technologies such as sensor networks have been incorporated into the management of buildings for organizations and cities. Sensor networks have led to an exponential increase in the volume of data available in recent years, which can be used to extract consumption patterns for the purposes of energy and monetary savings. For this reason, new approaches and strategies are needed to analyze information in big data environments. This paper proposes a methodology to extract electric energy consumption patterns in big data time series, so that very valuable conclusions can be made for managers and governments. The methodology is based on the study of four clustering validity indices in their parallelized versions along with the application of a clustering technique. In particular, this work uses a voting system to choose an optimal number of clusters from the results of the indices, as well as the application of the distributed version of the k-means algorithm included in Apache Spark’s Machine Learning Library. The results, using electricity consumption for the years 2011–2017 for eight buildings of a public university, are presented and discussed. In addition, the performance of the proposed methodology is evaluated using synthetic big data, which cab represent thousands of buildings in a smart city. Finally, policies derived from the patterns discovered are proposed to optimize energy usage across the university campus.

  15. End-User Tools Towards AN Efficient Electricity Consumption: the Dynamic Smart Grid

    Science.gov (United States)

    Kamel, Fouad; Kist, Alexander A.

    2010-06-01

    Growing uncontrolled electrical demands have caused increased supply requirements. This causes volatile electrical markets and has detrimental unsustainable environmental impacts. The market is presently characterized by regular daily peak demand conditions associated with high electricity prices. A demand-side response system can limit peak demands to an acceptable level. The proposed scheme is based on energy demand and price information which is available online. An online server is used to communicate the information of electricity suppliers to users, who are able to use the information to manage and control their own demand. A configurable, intelligent switching system is used to control local loads during peak events and mange the loads at other times as necessary. The aim is to shift end user loads towards periods where energy demand and therefore also prices are at the lowest. As a result, this will flatten the load profile and avoiding load peeks which are costly for suppliers. The scheme is an endeavour towards achieving a dynamic smart grid demand-side-response environment using information-based communication and computer-controlled switching. Diffusing the scheme shall lead to improved electrical supply services and controlled energy consumption and prices.

  16. Residential environments, alcohol advertising, and initiation and continuation of alcohol consumption among adolescents in urban Taiwan: A prospective multilevel study

    OpenAIRE

    Chen, Yen-Tyng; Cooper, Hannah L.F.; Windle, Michael; Haardörfer, Regine; Crawford, Natalie D.; Chen, Wei J.; Chen, Chuan-Yu

    2016-01-01

    Background Research indicates that place characteristics and the media environment are important contextual determinants of underage drinking behaviors in Western countries, but it is unknown whether these exposures influence adolescent alcohol consumption outside Western contexts, including in Asia׳s emerging global alcohol markets. Guided by the social ecological framework, we prospectively investigated the influences of place characteristics and alcohol advertising on initiation and contin...

  17. Heat-Related Mortality in Japan after the 2011 Fukushima Disaster: An Analysis of Potential Influence of Reduced Electricity Consumption

    Science.gov (United States)

    Kim, Yoonhee; Gasparrini, Antonio; Honda, Yasushi; Ng, Chris Fook Sheng; Armstrong, Ben

    2017-01-01

    Background: In March 2011, the Great East Japan Earthquake devastated several power stations and caused severe electricity shortages. This accident was followed by the implementation of policies to reduce summer electricity consumption in the affected areas, for example, by limiting air-conditioning (AC) use. This provided a natural experimental scenario to investigate if these policies were associated with an increase in heat-related mortality. Objectives: We examined whether the reduced electricity consumption in warm season modified heat-related mortality from 2008 to 2012. Methods: We conducted prefecture-specific interrupted time-series (ITS) analyses to compare temperature–mortality associations before and after the earthquake, and used meta-analysis to generate combined effect estimates for the most affected and less affected areas (prefectures with >10% or ≤10% reductions in electricity consumption, respectively). We then examined whether the temperature–mortality association in Tokyo, one of the most affected areas, was modified by the percent reduction in electricity consumption relative to expected consumption for comparable days before the earthquake. Results: Contrary to expectations, we estimated a 5–9% reduction in all-cause heat-related mortality after the earthquake in the 15 prefectures with the greatest reduction in electricity consumption, and little change in the other prefectures. However, the percent reduction in observed vs. expected daily electricity consumption after the earthquake did not significantly modify daily heat-related mortality in Tokyo. Conclusions: In the prefectures with the greatest reductions in electricity consumption, heat-related mortality decreased rather than increased following the Great East Japan Earthquake. Additional research is needed to determine whether this finding holds for other populations and regions, and to clarify its implications for policies to reduce the consequences of climate change on

  18. Heat-Related Mortality in Japan after the 2011 Fukushima Disaster: An Analysis of Potential Influence of Reduced Electricity Consumption.

    Science.gov (United States)

    Kim, Yoonhee; Gasparrini, Antonio; Hashizume, Masahiro; Honda, Yasushi; Ng, Chris Fook Sheng; Armstrong, Ben

    2017-07-06

    In March 2011, the Great East Japan Earthquake devastated several power stations and caused severe electricity shortages. This accident was followed by the implementation of policies to reduce summer electricity consumption in the affected areas, for example, by limiting air-conditioning (AC) use. This provided a natural experimental scenario to investigate if these policies were associated with an increase in heat-related mortality. We examined whether the reduced electricity consumption in warm season modified heat-related mortality from 2008 to 2012. We conducted prefecture-specific interrupted time-series (ITS) analyses to compare temperature-mortality associations before and after the earthquake, and used meta-analysis to generate combined effect estimates for the most affected and less affected areas (prefectures with >10% or ≤10% reductions in electricity consumption, respectively). We then examined whether the temperature-mortality association in Tokyo, one of the most affected areas, was modified by the percent reduction in electricity consumption relative to expected consumption for comparable days before the earthquake. Contrary to expectations, we estimated a 5-9% reduction in all-cause heat-related mortality after the earthquake in the 15 prefectures with the greatest reduction in electricity consumption, and little change in the other prefectures. However, the percent reduction in observed vs. expected daily electricity consumption after the earthquake did not significantly modify daily heat-related mortality in Tokyo. In the prefectures with the greatest reductions in electricity consumption, heat-related mortality decreased rather than increased following the Great East Japan Earthquake. Additional research is needed to determine whether this finding holds for other populations and regions, and to clarify its implications for policies to reduce the consequences of climate change on health. https://doi.org/10.1289/EHP493.

  19. Scenario analysis of energy saving and CO2 emissions reduction potentials to ratchet up Japanese mitigation target in 2030 in the residential sector

    International Nuclear Information System (INIS)

    Wakiyama, Takako; Kuramochi, Takeshi

    2017-01-01

    This paper assesses to what extent CO 2 emissions from electricity in the residential sector can be further reduced in Japan beyond its post-2020 mitigation target (known as “Intended Nationally Determined Contribution (INDC)”). The paper examines the reduction potential of electricity demand and CO 2 emissions in the residential sector by conducting a scenario analysis. Electricity consumption scenarios are set up using a time-series regression model, and used to forecast the electricity consumption patterns to 2030. The scenario analysis also includes scenarios that reduce electricity consumption through enhanced energy efficiency and energy saving measures. The obtained results show that Japan can reduce electricity consumption and CO 2 emissions in the residential sector in 2030 more than the Japanese post-2020 mitigation target indicates. At the maximum, the electricity consumption could be reduced by 35 TWh, which contributes to 55.4 MtCO 2 of emissions reduction in 2030 compared to 2013 if the voluntarily targeted CO 2 intensity of electricity is achieved. The result implies that Japan has the potential to ratchet up post-2020 mitigation targets discussed under the Paris Agreement of the United Nations Framework Convention on Climate Change (UNFCCC). - Highlights: • Further reduction of electricity consumption is possible beyond Japan's post-2020 mitigation target. • Energy saving efforts by households and incentives to reduce electricity demands are required. • Improvement of CO 2 intensity from electricity is a key factor in the reduction of CO 2 emissions.

  20. Formulation of models for determination of the fuel gas demand and consumption in residential buildings; Formulacao de modelos para determinacao da demanda e consumo de gas combustivel em edificios residenciais

    Energy Technology Data Exchange (ETDEWEB)

    Ilha, Marina Sangoi de Oliveira [Universidade Estadual de Campinas, SP (Brazil). Faculdade de Engenharia Civil. Dept. de Hidraulica e Saneamento; Goncalves, Orestes Marracini [Sao Paulo Univ., SP (Brazil). Escola Politecnica. Dept. de Engenharia de Construcao Civil

    1996-07-01

    This work presents models for design flow rate and gas volume determination in residential buildings. First, an experimental investigation, applied on a sample of residential buildings at Sao Paulo, Brazil, is described, which essentially consisted in the filling of a form and measurement of gas volume at one minute interval during 10 days (mean). From this data, it was performed a regression analysis in order to explain design flow rate (demand) and gas volume values (consumption), based on different variables. Models proposed on this work are different from the current applied methodology due to their 'open' approach, that is, involved variables can be explicitly found in formulas. (author)

  1. Residential environments, alcohol advertising, and initiation and continuation of alcohol consumption among adolescents in urban Taiwan: A prospective multilevel study.

    Science.gov (United States)

    Chen, Yen-Tyng; Cooper, Hannah L F; Windle, Michael; Haardörfer, Regine; Crawford, Natalie D; Chen, Wei J; Chen, Chuan-Yu

    2016-12-01

    Research indicates that place characteristics and the media environment are important contextual determinants of underage drinking behaviors in Western countries, but it is unknown whether these exposures influence adolescent alcohol consumption outside Western contexts, including in Asia׳s emerging global alcohol markets. Guided by the social ecological framework, we prospectively investigated the influences of place characteristics and alcohol advertising on initiation and continuation of alcohol consumption among adolescents in Taipei, Taiwan. Data on individual-level characteristics, including alcohol use behaviors and perceived exposure to alcohol advertising, were obtained from two waves of a longitudinal school-based study through a stratified probability sampling method in 2010 (Grade 7/Grade 8, aged 13-14 years old) and 2011-2012 (Grade 9, aged 15 years old) from 1795 adolescents residing in 22 of 41 districts in Taipei. Data on district-level characteristics were drawn from administrative sources and Google Street View virtual audit to describe districts where adolescents lived at baseline. Hierarchical generalized linear models tested hypotheses about the associations of place characteristics and perceived alcohol advertising with underage drinking, with stratification by baseline lifetime alcohol consumption. Among alcohol-naïve adolescents, lower district-level economic disadvantage, a higher proportion of betel nut kiosks (a relatively unregulated alcohol source) compared to off-premises alcohol outlets, and exposure to television-based alcohol advertising predicted increased likelihood of alcohol initiation at one-year follow-up. Among alcohol-experienced adolescents, greater spatial access to off-premises alcohol outlets, and lower access to metro rapid transportation (MRT) and to temples were found to predict a subsequent increased likelihood of continued alcohol use. Parental drinking moderated the relationship between district-level violent

  2. Harnessing big data for estimating the energy consumption and driving range of electric vehicles

    DEFF Research Database (Denmark)

    Fetene, Gebeyehu Manie; Kaplan, Sigal; Mabit, Stefan Lindhard

    2017-01-01

    to conventional ones. Moreover, the results of the analysis show that driving speed, acceleration and temperature have non-linear effects on the ECR, while season and precipitation level have a strong linear effect. The econometric model of the ECR of BEVs suggests that the optimal driving speed is between 45......Analyzing the factors that affect the energy efficiency of vehicles is crucial to the overall improvement of the environmental efficiency of the transport sector, one of the top polluting sectors at the global level. This study analyses the energy consumption rate (ECR) and driving range of battery...... electric vehicles (BEVs) and provides insight into the factors that affect their energy consumption by harnessing big data from real-world driving. The analysis relied on four data sources: (i) driving patterns collected from 741 drivers over a two-year period; (ii) drivers’ characteristics; (iii) road...

  3. Using GM (1,1 Optimized by MFO with Rolling Mechanism to Forecast the Electricity Consumption of Inner Mongolia

    Directory of Open Access Journals (Sweden)

    Huiru Zhao

    2016-01-01

    Full Text Available Accurate and reliable forecasting on annual electricity consumption will be valuable for social projectors and power grid operators. With the acceleration of electricity market reformation and the development of smart grid and the energy Internet, the modern electric power system is becoming increasingly complex in terms of structure and function. Therefore, electricity consumption forecasting has become a more difficult and challenging task. In this paper, a new hybrid electricity consumption forecasting method, namely grey model (1,1 (GM (1,1, optimized by moth-flame optimization (MFO algorithm with rolling mechanism (Rolling-MFO-GM (1,1, was put forward. The parameters a and b of GM (1,1 were optimized by employing moth-flame optimization algorithm (MFO, which is the latest natured-inspired meta-heuristic algorithm proposed in 2015. Furthermore, the rolling mechanism was also introduced to improve the precision of prediction. The Inner Mongolia case discussion shows the superiority of proposed Rolling-MFO-GM (1,1 for annual electricity consumption prediction when compared with least square regression (LSR, GM (1,1, FOA (fruit fly optimization-GM (1,1, MFO-GM (1,1, Rolling-LSR, Rolling-GM (1,1 and Rolling-FOA-GM (1,1. The grey forecasting model optimized by MFO with rolling mechanism can improve the forecasting performance of annual electricity consumption significantly.

  4. Comparative gross domestic production and electricity consumption per capita in the context of nuclear power prospect

    International Nuclear Information System (INIS)

    Ridzuan Abdul Mutalib; Maragatham Kumar; Nik Arlina Nik Ali; Abi Muttaqin Jalal Bayar; Aisya Raihan Abdul Kadir; Muhammed Zulfakar Zolkaffly; Azlinda Aziz; Jamal Khaer Ibrahim

    2008-08-01

    Malaysia, based on its economic and industrial growth level should be able to absorb nuclear technology and capacity in implementing a nuclear power programme. Malaysia Gross Domestic Production (GDP) and electricity consumption (kWh per capita is higher compared with other developing countries, which have already announced their plans to implement nuclear power programme. Furthermore, Asia reliance on nuclear power plants to meet growing energy needs in the near future is also significantly increasing. This paper presents the comparative GDP and kWh per capita in Asia and globally in the context of nuclear power prospect in Malaysia. (Author)

  5. Who gains from hourly time-of-use retail prices on electricity? An analysis of consumption profiles for categories of Danish electricity customers

    DEFF Research Database (Denmark)

    Møller Andersen, Frits; Larsen, Helge V.; Kitzing, Lena

    2014-01-01

    include a systematic component in the hourly variation, we show that customers with different consumption profiles experience different average cost of their electricity consumption when billed according to hourly time-of-use prices. Thus, some categories of customers stand to gain from time......Studies of the aggregated hourly electricity load in geographical areas typically show a systematic variation over the day, the week, and seasons. With hourly metering of individual customers, data for individual consumption profiles have become available. Looking into these data we show...... that consumption profiles for specific categories of customers are equally systematic but quite distinct for different categories of customers. That is, different categories of customers contribute quite differently to the aggregated load profile. Coupling consumption profiles with hourly market prices which also...

  6. Prediction of monthly electric energy consumption using pattern-based fuzzy nearest neighbour regression

    Directory of Open Access Journals (Sweden)

    Pełka Paweł

    2017-01-01

    Full Text Available Electricity demand forecasting is of important role in power system planning and operation. In this work, fuzzy nearest neighbour regression has been utilised to estimate monthly electricity demands. The forecasting model was based on the pre-processed energy consumption time series, where input and output variables were defined as patterns representing unified fragments of the time series. Relationships between inputs and outputs, which were simplified due to patterns, were modelled using nonparametric regression with weighting function defined as a fuzzy membership of learning points to the neighbourhood of a query point. In an experimental part of the work the model was evaluated using real-world data. The results are encouraging and show high performances of the model and its competitiveness compared to other forecasting models.

  7. Simulation of current pricing-tendencies in the German electricity market for private consumption

    International Nuclear Information System (INIS)

    Mueller, Moritz; Sensfuss, Frank; Wietschel, Martin

    2007-01-01

    The German electricity market for private consumption is characterized by increasing prices and low participation of the consumers. This prompts us to investigate the interdependencies between the customers' engagement in the market and the suppliers' pricing strategies. Based on an analysis of the German retail market, an agent-based simulation model is developed. Whereas the behaviour of private customers is calibrated on field data, the suppliers learn to maximize profits with a feedback-learning heuristic. The simulation results show a tendency of rising prices, which are created without the assumption of tacit collusion among suppliers. We conclude that in Germany the current market pressure of private customers may not be a sufficient incentive for suppliers to lower electricity prices. (author)

  8. Modeling Residential Water Consumption in Amman: The Role of Intermittency, Storage, and Pricing for Piped and Tanker Water

    Directory of Open Access Journals (Sweden)

    Christian Klassert

    2015-07-01

    Full Text Available Jordan faces an archetypal combination of high water scarcity, with a per capita water availability of around 150 m3 per year significantly below the absolute scarcity threshold of 500 m3, and strong population growth, especially due to the Syrian refugee crisis. A transition to more sustainable water consumption patterns will likely require Jordan’s water authorities to rely more strongly on water demand management in the future. We conduct a case study of the effects of pricing policies, using an agent-based model of household water consumption in Jordan’s capital Amman, in order to analyze the distribution of burdens imposed by demand-side policies across society. Amman’s households face highly intermittent piped water supply, leading them to supplement it with water from storage tanks and informal private tanker operators. Using a detailed data set of the distribution of supply durations across Amman, our model can derive the demand for additional tanker water. We find that integrating these different supply sources into our model causes demand-side policies to have strongly heterogeneous effects across districts and income groups. This highlights the importance of a disaggregated perspective on water policy impacts in order to identify and potentially mitigate excessive burdens.

  9. Test methods for evaluating energy consumption and emissions of vehicles with electric, hybrid and fuel cell power trains

    NARCIS (Netherlands)

    Smokers, R.T.M.; Ploumen, S.; Conte, M.; Buning, L.; Meier-Engel, K.

    2000-01-01

    As part of the MATADOR-project measurement methods have been developed for the evaluation of the energy consumption and emissions of vehicles with advanced propulsion systems, such as battery-electric, hybrid electric and fuel cell vehicles. Based on an inventory of existing and prospective standard

  10. Gas-heating alternatives to the residential electric heat pump. Gas Appliance Technology Center 1987 program. Topical report for Work Area 1.1, October 1989-March 1990

    International Nuclear Information System (INIS)

    Haas, C.

    1990-05-01

    The characteristics of electric heat pumps are described. Options are defined and assessed for utilizing gas heating in conjunction with existing residential electric heat pumps. These options include gas heat introduced into the refrigeration circuit, a flue gas-heated tube bank in the air supply duct, and a hot-water-to-air coil in the supply duct. Economics are presented for conversion of a residence's total space and water heating from electric to gas in New York City and Atlanta. Potential marketing strategies are discussed, and potential gas sales volumes from conversions are estimated. The study concludes that the use of gas water heating coupled with a hydronic coil in the supply ductwork from the air handler is the most advantageous option for the gas industry

  11. Electric sales and revenue 1991

    International Nuclear Information System (INIS)

    1993-04-01

    The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. Previous publications presented data on typical electric bills at specified consumption levels as well as sales, revenue, and average revenue. The sales of electricity, associated revenue, and average revenue per kilowatthour provided in this report are presented at the national, Census division, State, and electric utility levels

  12. Characteristics of the electric power consumption in a rum distillery; Caracteristicas do consumo de energia eletrica numa destilaria de aguardente

    Energy Technology Data Exchange (ETDEWEB)

    Assumpcao, C.R.

    1986-03-01

    The present work was carried out to study the aspects related to the consumption of electric power by Destilaria Indiana Botucatu, State of Sao Paulo - Brazil, during the harvest 1982/83 and 1983/84. The studies were carried out for comparison between electric consumption against processed sugar cane (sugar, bagasse and rum). The actual and calculated demands were studied. Some considerations were made, where a turbogenerator installation was simulated in order to verify an electric energy to be provided through self generation, by using bagasse as a fuel, and the possibility of self sufficiency of the industry in relation to this energy. (author). 11 drawings, 9 tabs

  13. Effects of continuous feedback on households’ electricity consumption: Potentials and barriers

    International Nuclear Information System (INIS)

    Nilsson, Andreas; Bergstad, Cecilia Jakobsson; Thuvander, Liane; Andersson, David; Andersson, Kristin; Meiling, Pär

    2014-01-01

    Highlights: • Two studies on conservation behaviours using in home-displays are presented. • No significant effects on electricity consumption were found. • Display feedback does not necessarily contribute to lower electricity use. • Interviews conclude that different types of feedback techniques should be combined. • Two important barriers are difficulties to understand the display and a lack of interest. - Abstract: Two field experiments were carried out to study (a) the effects on energy savings of continuous visual feedback via in-home displays, and (b) the motives for responding or not. In study 1, 40 participants living in separate or semi-detached houses in two different towns participated. All participants received a questionnaire and a list of possible energy saving measures. Households were then randomly assigned to an experimental condition (display) or a control condition (no display). In study 2, 32 households in rented apartments participated. No significant differences between the conditions were found for either of the studies. In study 2, semi-structured interviews were conducted among nine of the households. Through an analysis of interview transcripts barriers were identified explaining why the feedback intervention was not sufficient to change behaviour and reduce consumption. The barriers experienced indicate that there is a risk of overconfidence in IHDs. For the development of energy policies and more wide-scale implementation, it is important to be aware of the potential obstacles to success

  14. Electricity Consumption and Economic Growth: Analysis and Forecasts using VAR/VEC Approach for Greece with Capital Formation

    Directory of Open Access Journals (Sweden)

    Andreas Georgantopoulos

    2012-01-01

    Full Text Available This paper tests for the existence and direction of causality between electricity consumption and real gross domestic product for Greece. The study examines a trivariate system with capital formation for the period 1980-2010. Robust empirical results indicate that all variables are integrated of order one and cointegration analysis reports that cointegrating relationship exists between the variables. VAR/VEC approach suggests that all variables return to the long-run equilibrium whenever there is a deviation from the cointegrating relationship and that unidirectional causal links exists running from capital formation and electricity consumption to RGDP in the short-run implying that the economy of Greece is strongly energy dependent. Forecasts for the period 2011-2020 indicate increasing consumption of electricity and positive growth rates from 2013. Policy makers will need to liberalise the electricity sector and to turn the economy towards renewable and natural gas sources in order to reduce imports of oil and coal dependency.

  15. Determinants of Electricity Consumption Intensity in China: Analysis of Cities at Subprovince and Prefecture Levels in 2009

    Science.gov (United States)

    Xia, X. H.; Hu, Yi

    2012-01-01

    China has experienced great social and economic vicissitudes that caused the vast complexity and uncertainty for electricity consumption. This paper attempts to identify the main determinants of the electricity consumption intensity by using the data from Chinese cities at subprovince and prefecture levels in 2009. The key category factors, including urban morphology, industrial structure, regulation context, urbanization degree, price, natural condition, and resource endowment, are abstracted and the influence of these determinants is evaluated by adopting the finite mixture models. The variation of each determinant across regions, the comparative weights of all the factors, and the detailed classifications of the cities are reported for facilitating the understanding of electricity consumption in China. The corresponding policies for electricity administration are addressed as well. PMID:22927781

  16. Differences in Energy Consumption in Electric Vehicles: An Exploratory Real-World Study in Beijing

    Directory of Open Access Journals (Sweden)

    Kezhen Hu

    2017-01-01

    Full Text Available Electric vehicles (EVs are widely regarded as a promising solution to reduce air pollution in cities and key to a low carbon mobility future. However, their environmental benefits depend on the temporal and spatial context of actual usage (journey energy efficiency and the rolling out of EVs is complicated by issues such as limited range. This paper explores how the energy efficiency of EVs is affected and shaped by driving behavior, personal driving styles, traffic conditions, and infrastructure design in the real world. Tests have been conducted with a Nissan LEAF under a typical driving cycle on the Beijing road network in order to improve understanding of variations in energy efficiency among drivers under different urban traffic conditions. Energy consumption and operation parameters were recorded in both peak and off-peak hours for a total of 13 drivers. The analysis reported in this paper shows that there are clear patterns in energy consumption along a route that are in part related to differences in infrastructure design, traffic conditions, and personal driving styles. The proposed method for analyzing time series data about energy consumption along routes can be used for research with larger fleets of EVs in the future.

  17. Forecast and analysis of the ratio of electric energy to terminal energy consumption for global energy internet

    Science.gov (United States)

    Wang, Wei; Zhong, Ming; Cheng, Ling; Jin, Lu; Shen, Si

    2018-02-01

    In the background of building global energy internet, it has both theoretical and realistic significance for forecasting and analysing the ratio of electric energy to terminal energy consumption. This paper firstly analysed the influencing factors of the ratio of electric energy to terminal energy and then used combination method to forecast and analyse the global proportion of electric energy. And then, construct the cointegration model for the proportion of electric energy by using influence factor such as electricity price index, GDP, economic structure, energy use efficiency and total population level. At last, this paper got prediction map of the proportion of electric energy by using the combination-forecasting model based on multiple linear regression method, trend analysis method, and variance-covariance method. This map describes the development trend of the proportion of electric energy in 2017-2050 and the proportion of electric energy in 2050 was analysed in detail using scenario analysis.

  18. Integration between electric heat pump and PV system to increase self-consumption of an office application

    Directory of Open Access Journals (Sweden)

    Roselli Carlo

    2017-01-01

    Full Text Available The paper examines a solar electric driven heat pump serving an office building located in southern Italy. To satisfy space heating and cooling demand a heat pump activated by electric energy available from solar photovoltaic plant is here considered. In order to improve the self-consumption of electricity available from photovoltaic system different configurations were considered introducing an electric storage and an electric vehicle. Dynamic simulations to evaluate energy performance of the system varying photovoltaic peak power (4.5–7.5 kW have been carried out. The proposed system achieves a fossil fuel primary energy saving up to about 96% in comparison to the reference conventional system based on a natural gas fired boiler, an electric chiller and the national electric grid. The results show that fossil fuel primary energy saving is higher when there are no storage battery and electric vehicle.

  19. Pilot Evaluation of Energy Savings from Residential Energy Demand Feedback Devices

    Energy Technology Data Exchange (ETDEWEB)

    Parker, Danny S. [Florida Solar Energy Center, Cocoa, FL (United States); Hoak, David [Florida Solar Energy Center, Cocoa, FL (United States); Cummings, Jamie [Florida Solar Energy Center, Cocoa, FL (United States)

    2008-01-01

    This report discusses instantaneous feedback on household electrical demand has shown promise to reduce energy consumption. This report reviews past research and describes a two year pilot evaluation of a low cost residential energy feedback system installed in twenty case study homes in FL.

  20. Impact of Auxiliary Equipments Consumption on Electricity Generation Cost in Selected Power Plants of Pakistan

    Directory of Open Access Journals (Sweden)

    DILEEP KUMAR

    2017-04-01

    Full Text Available This study focuses on higher generation cost of electricity in selected TPPs (Thermal Power Plants in Sindh, Pakistan. It also investigates the energy consumed by the auxiliary equipment of the selected TPPs in Sindh, Pakistan. The AC (Auxiliary Consumption of selected TPPs is compared with that in UK and other developed countries. Results show that the AC in selected TPPs in Sindh, Pakistan exceeds the average AC of the TPPs situated in developed countries. Many energy conservation measures such as impeller trimming and de-staging, boiler feed pump, high voltage inverter, variable frequency drive, and upgrading the existing cooling tower fan blades with fiber reinforced plastic are discussed to overcome higher AC. This study shows that harnessing various available energy conservative measures the AC and unit cost can be reduced by 4.13 and 8.8%; also adverse environmental impacts can be mitigated. Results show that the unit cost of electricity can be reduced from Rs.20 to19/kWh in JTPP (Jamshoro Thermal Power Plant, Rs.9 to 8.8/kWh in GTPS (Gas Turbine Power Station Kotri and Rs. 11 to 10.27/ kWh in LPS (Lakhara Power Station. Thus, electricity production can be improved with the existing capacity, which will eventually assist to manage the current energy crisis and ensure its conservation

  1. System Dynamics Modeling of Households' Electricity Consumption and Cost-Income Ratio: a Case Study of Latvia

    Science.gov (United States)

    Bariss, Uldis; Bazbauers, Gatis; Blumberga, Andra; Blumberga, Dagnija

    2017-11-01

    Increased energy efficiency of the building sector is high on the list of priorities for energy policy since better energy efficiency would help to reduce impact on climate change and increase security of energy supply. One aim of the present study was to find a relative effect of growth of demand for energy services due to changes in income, energy consumption per unit of demand due to technological development, changes in electricity price and household income on household electricity consumption in Latvia. The method applied included system dynamics modeling and data from a household survey regarding the relationship between electricity saving activities and the electricity cost-income ratio. The results revealed that, in direct contrast to the expected, a potential reduction of the electricity consumption is rather insensitive to electricity price and electricity cost-income ratio, and that the efficiency of technologies could be the main drivers for future electricity savings. The results suggest that support to advancement of technologies and faster replacement of inefficient ones rather than influencing the energy price could be effective energy policy measures. The model, developed in the study could be used in similar assessments in other countries.

  2. The flame dilemma: A data analytics study of fireplace influence on winter energy consumption at the residential household level

    Directory of Open Access Journals (Sweden)

    Afamia Elnakat

    2016-11-01

    Full Text Available This study investigates the effect of the presence of fireplaces at the household level independent of the function of ambiance and indoor air quality. The focus of this study is on the winter heating energy use of homes with and without fireplaces to promote energy conservation. Three years of winter energy usage (2011–2013 of 365,190 single-family homes are analyzed and compared. The data is further segmented by fuel type, all-electric versus dual-fuel homes as well as by size and vintage. On average, homes with fireplaces used 23,650 kBtu, source energy, for heating purposes during the winter months versus 18,055 kBtu (p≤0.0001 during the same time period, January, February, and December. There is a significant 31% increase in energy use in homes with fireplaces. In conclusion, policy prescriptions and retrofits are recommended during new home construction permits, renovations, and utility rebate outreach programs to encourage more efficient and cleaner fireplace technology applications.

  3. Exploring the transformation and upgrading of China's economy using electricity consumption data: A VAR-VEC based model

    Science.gov (United States)

    Zhang, Chi; Zhou, Kaile; Yang, Shanlin; Shao, Zhen

    2017-05-01

    Since the reforming and opening up in 1978, China has experienced a miraculous development. To investigate the transformation and upgrading of China's economy, this study focuses on the relationship between economic growth and electricity consumption of the secondary and tertiary industry in China. This paper captures the dynamic interdependencies among the related variables using a theoretical framework based on a Vector Autoregressive (VAR)-Vector Error Correction (VEC) model. Using the macroeconomic and electricity consumption data, the results show that, for secondary industry, there is only a unidirectional Granger causality from electricity consumption to Gross Domestic Product (GDP) from 1980 to 2000. However, for the tertiary industry, it only occurs that GDP Granger causes electricity consumption from 2001 to 2014. All these conclusions are verified by the impulse response function and variance decomposition. This study has a great significance to reveal the relationship between industrial electricity consumption and the pattern of economic development. Meanwhile, it further suggests that, since China joined the World Trade Organization (WTO) in 2001, the trend of the economic transformation and upgrading has gradually appeared.

  4. Towards Cost and Comfort Based Hybrid Optimization for Residential Load Scheduling in a Smart Grid

    Directory of Open Access Journals (Sweden)

    Nadeem Javaid

    2017-10-01

    Full Text Available In a smart grid, several optimization techniques have been developed to schedule load in the residential area. Most of these techniques aim at minimizing the energy consumption cost and the comfort of electricity consumer. Conversely, maintaining a balance between two conflicting objectives: energy consumption cost and user comfort is still a challenging task. Therefore, in this paper, we aim to minimize the electricity cost and user discomfort while taking into account the peak energy consumption. In this regard, we implement and analyse the performance of a traditional dynamic programming (DP technique and two heuristic optimization techniques: genetic algorithm (GA and binary particle swarm optimization (BPSO for residential load management. Based on these techniques, we propose a hybrid scheme named GAPSO for residential load scheduling, so as to optimize the desired objective function. In order to alleviate the complexity of the problem, the multi dimensional knapsack is used to ensure that the load of electricity consumer will not escalate during peak hours. The proposed model is evaluated based on two pricing schemes: day-ahead and critical peak pricing for single and multiple days. Furthermore, feasible regions are calculated and analysed to develop a relationship between power consumption, electricity cost, and user discomfort. The simulation results are compared with GA, BPSO and DP, and validate that the proposed hybrid scheme reflects substantial savings in electricity bills with minimum user discomfort. Moreover, results also show a phenomenal reduction in peak power consumption.

  5. The opening of electricity and natural gas markets to residential clients. Yearly barometer - run 3. September 2009

    International Nuclear Information System (INIS)

    2009-09-01

    The opening of energy markets to competition became effective to individuals ('residential clients') on July 1, 2007 with the possibility to freely choose their energy supplier. This opening of energy markets to residential clients started 3 years after the opening to professionals (July 1, 2004). The Commission of energy regulation (CRE) and the national energy Ombudsman have set in place in 2007 a quantitative yearly survey ('barometer') addressed to residential clients in order to collect statistical data about the behaviour of these clients with regards to the opening of markets to competition. This document deals with the results of the fourth run of this survey carried out in September 2009 by the LH2 institute. For the 1500 households investigated, LH2 has questioned the person in charge of the energy bills management. The barometer aimed at answering the following questions: - what is the level of knowledge and information of residential clients about markets opening and the existing regulation? - What perception of this opening do they have? (pros/cons, advantages/drawbacks); - what behaviour do they have in front of the opening of markets to competition? (approach with respect to information needs, knowledge about the offer, intention to change supplier, brakes/motivations in entering the open market). (J.S.)

  6. The opening of electricity and natural gas markets to residential clients. Yearly barometer - run 2. December 2008

    International Nuclear Information System (INIS)

    2008-12-01

    The opening of energy markets to competition became effective to individuals ('residential clients') on July 1, 2007 with the possibility to freely choose their energy supplier. This opening of energy markets to residential clients started 3 years after the opening to professionals (July 1, 2004). The Commission of energy regulation (CRE) and the national energy Ombudsman have set in place in 2007 a quantitative yearly survey ('barometer') addressed to residential clients in order to collect statistical data about the behaviour of these clients with regards to the opening of markets to competition. This document deals with the results of the fourth run of this survey carried out from November 10 to November 20, 2008 by the LH2 institute. For the 1502 households investigated, LH2 has questioned the person in charge of the energy bills management. The barometer aimed at answering the following questions: - what is the level of knowledge and information of residential clients about markets opening and the existing regulation? - What perception of this opening do they have? (pros/cons, advantages/drawbacks); - what behaviour do they have in front of the opening of markets to competition? (approach with respect to information needs, knowledge about the offer, intention to change supplier, brakes/motivations in entering the open market). (J.S.)

  7. The opening of electricity and natural gas markets to residential clients. Yearly barometer - run 5. September 2011

    International Nuclear Information System (INIS)

    2011-09-01

    The opening of energy markets to competition became effective to individuals ('residential clients') on July 1, 2007 with the possibility to freely choose their energy supplier. This opening of energy markets to residential clients started 3 years after the opening to professionals (July 1, 2004). The Commission of energy regulation (CRE) and the national energy Ombudsman have set in place in 2007 a quantitative yearly survey ('barometer') addressed to residential clients in order to collect statistical data about the behaviour of these clients with regards to the opening of markets to competition. This document deals with the results of the fourth run of this survey carried out from September 12 to September 23, 2011 by the LH2 institute. For the 1500 households investigated, LH2 has questioned the person in charge of the energy bills management. The barometer aimed at answering the following questions: - what is the level of knowledge and information of residential clients about markets opening and the existing regulation? - What perception of this opening do they have? (pros/cons, advantages/drawbacks); - what behaviour do they have in front of the opening of markets to competition? (approach with respect to information needs, knowledge about the offer, intention to change supplier, brakes/motivations in entering the open market). (J.S.)

  8. The opening of electricity and natural gas markets to residential clients. Yearly barometer - run 4. September 2010

    International Nuclear Information System (INIS)

    2010-09-01

    The opening of energy markets to competition became effective to individuals ('residential clients') on July 1, 2007 with the possibility to freely choose their energy supplier. This opening of energy markets to residential clients started 3 years after the opening to professionals (July 1, 2004). The Commission of energy regulation (CRE) and the national energy Ombudsman have set in place in 2007 a quantitative yearly survey ('barometer') addressed to residential clients in order to collect statistical data about the behaviour of these clients with regards to the opening of markets to competition. This document deals with the results of the fourth run of this survey carried out from September 6 to September 18, 2010 by the LH2 institute. For the 1504 households investigated, LH2 has questioned the person in charge of the energy bills management. The barometer aimed at answering the following questions: - what is the level of knowledge and information of residential clients about markets opening and the existing regulation? - What perception of this opening do they have? (pros/cons, advantages/drawbacks); - what behaviour do they have in front of the opening of markets to competition? (approach with respect to information needs, knowledge about the offer, intention to change supplier, brakes/motivations in entering the open market). (J.S.)

  9. Electricity demand in Kazakhstan

    International Nuclear Information System (INIS)

    Atakhanova, Zauresh; Howie, Peter

    2007-01-01

    Properties of electricity demand in transition economies have not been sufficiently well researched mostly due to data limitations. However, information on the properties of electricity demand is necessary for policy makers to evaluate effects of price changes on different consumers and obtain demand forecasts for capacity planning. This study estimates Kazakhstan's aggregate demand for electricity as well as electricity demand in the industrial, service, and residential sectors using regional data. Firstly, our results show that price elasticity of demand in all sectors is low. This fact suggests that there is considerable room for price increases necessary to finance generation and distribution system upgrading. Secondly, we find that income elasticity of demand in the aggregate and all sectoral models is less than unity. Of the three sectors, electricity demand in the residential sector has the lowest income elasticity. This result indicates that policy initiatives to secure affordability of electricity consumption to lower income residential consumers may be required. Finally, our forecast shows that electricity demand may grow at either 3% or 5% per year depending on rates of economic growth and government policy regarding price increases and promotion of efficiency. We find that planned supply increases would be sufficient to cover growing demand only if real electricity prices start to increase toward long-run cost-recovery levels and policy measures are implemented to maintain the current high growth of electricity efficiency

  10. Consumption of Energy in New York State: 1972 (with Estimates for 1973).

    Science.gov (United States)

    Hausgaard, Olaf

    This report contains tabular data on energy consumption for the calendar year 1972 and a forecast of natural gas requirements for the period 1973 to 1976. Broad sector categories used in the tables are electric utilities, residential commercial, industrial, and transportation. Tables show energy consumption by primary source and major sector for…

  11. Multivariate Granger causality between electricity consumption, exports and GDP. Evidence from a panel of Middle Eastern countries

    International Nuclear Information System (INIS)

    Narayan, Paresh Kumar; Smyth, Russell

    2009-01-01

    This paper examines the causal relationship between electricity consumption, exports and gross domestic product (GDP) for a panel of Middle Eastern countries. We find that for the panel as a whole there are statistically significant feedback effects between these variables. A 1 per cent increase in electricity consumption increases GDP by 0.04 per cent, a 1 per cent increase in exports increases GDP by 0.17 per cent and a 1 per cent increase in GDP generates a 0.95 per cent increase in electricity consumption. The policy implications are that for the panel as a whole these countries should invest in electricity infrastructure and step up electricity conservation policies to avoid a reduction in electricity consumption adversely affecting economic growth. Further policy implications are that for the panel as a whole promoting exports, particularly non-oil exports, is a means to promote economic growth and that expansion of exports can be realized without having adverse effects on energy conservation policies. (author)

  12. Residential energy usage comparison project: An overview

    Energy Technology Data Exchange (ETDEWEB)

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

    1990-10-01

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

  13. Comparison of Turkey's electrical energy consumption and production with some European countries and optimization of future electrical power supply investments in Turkey

    International Nuclear Information System (INIS)

    Tunc, Murat; Camdali, Uenal; Parmaksizoglu, Cem

    2006-01-01

    Energy issues are directly related to the development of a country and the living standards of its people. Turkey is currently in a rapid industrialization process with a young and dynamic population of over 65 million. Due to relatively high growth rate of the population, increasing consumer oriented attitudes and as a result of rising levels of affluence, the primary energy demand is rising rapidly at an annual rate of 6.7 percent. In this study Turkey's energy resources, installed electric power capacity, electric energy production and consumption rates are investigated and compared with that of France, Germany and Switzerland. Turkey's electric energy consumption rates are predicted with regression analysis for the years of 2010 and 2020 and finally linear mathematical optimization model is developed to predict the distribution of future electrical power supply investments in Turkey

  14. Analysis of residential, industrial and commercial sector responses to potential electricity supply constraints in the 1990s

    Energy Technology Data Exchange (ETDEWEB)

    Fisher, Z.J.; Fang, J.M.; Lyke, A.J.; Krudener, J.R.

    1986-09-01

    There is considerable debate over the ability of electric generation capacity to meet the growing needs of the US economy in the 1990s. This study provides new perspective on that debate and examines the possibility of power outages resulting from electricity supply constraints. Previous studies have focused on electricity supply growth, demand growth, and on the linkages between electricity and economic growth. This study assumes the occurrence of electricity supply shortfalls in the 1990s and examines the steps that homeowners, businesses, manufacturers, and other electricity users might take in response to electricity outages.

  15. Thermal Profiling of Residential Energy Use

    Energy Technology Data Exchange (ETDEWEB)

    Albert, A; Rajagopal, R

    2015-03-01

    This work describes a methodology for informing targeted demand-response (DR) and marketing programs that focus on the temperature-sensitive part of residential electricity demand. Our methodology uses data that is becoming readily available at utility companies-hourly energy consumption readings collected from "smart" electricity meters, as well as hourly temperature readings. To decompose individual consumption into a thermal-sensitive part and a base load (non-thermally-sensitive), we propose a model of temperature response that is based on thermal regimes, i.e., unobserved decisions of consumers to use their heating or cooling appliances. We use this model to extract useful benchmarks that compose thermal profiles of individual users, i.e., terse characterizations of the statistics of these users' temperature-sensitive consumption. We present example profiles generated using our model on real consumers, and show its performance on a large sample of residential users. This knowledge may, in turn, inform the DR program by allowing scarce operational and marketing budgets to be spent on the right users-those whose influencing will yield highest energy reductions-at the right time. We show that such segmentation and targeting of users may offer savings exceeding 100% of a random strategy.

  16. How hybrid-electric vehicles are different from conventional vehicles: the effect of weight and power on fuel consumption

    International Nuclear Information System (INIS)

    Reynolds, C; Kandlikar, M

    2007-01-01

    An increasingly dive