WorldWideScience

Sample records for short-run residential demand

  1. Examining the short-run price elasticity of gasoline demand in the United States

    Science.gov (United States)

    Brannan, Michael James

    Estimating the consumer demand response to changes in the price of gasoline has important implications regarding fuel tax policies and environmental concerns. There are reasons to believe that the short-run price elasticity of gasoline demand fluctuates due to changing structural and behavioral factors. In this paper I estimate the short-run price elasticity of gasoline demand in two time periods, from 2001 to 2006 and from 2007 to 2010. This study utilizes data at both the national and state levels to produce estimates. The short-run price elasticities range from -0.034 to -0.047 during 2001 to 2006, compared to -0.058 to -0.077 in the 2007 to 2010 period. This paper also examines whether there are regional differences in the short-run price elasticity of gasoline demand in the United States. However, there appears to only be modest variation in price elasticity values across regions.

  2. Short-Run and Long-Run Elasticities of Diesel Demand in Korea

    Directory of Open Access Journals (Sweden)

    Seung-Hoon Yoo

    2012-11-01

    Full Text Available This paper investigates the demand function for diesel in Korea covering the period 1986–2011. The short-run and long-run elasticities of diesel demand with respect to price and income are empirically examined using a co-integration and error-correction model. The short-run and long-run price elasticities are estimated to be −0.357 and −0.547, respectively. The short-run and long-run income elasticities are computed to be 1.589 and 1.478, respectively. Thus, diesel demand is relatively inelastic to price change and elastic to income change in both the short-run and long-run. Therefore, a demand-side management through raising the price of diesel will be ineffective and tightening the regulation of using diesel more efficiently appears to be more effective in Korea. The demand for diesel is expected to continuously increase as the economy grows.

  3. Short-run and long-run elasticities of import demand for crude oil in Turkey

    International Nuclear Information System (INIS)

    Altinay, Galip

    2007-01-01

    The aim of this study is to attempt to estimate the short-run and the long-run elasticities of demand for crude oil in Turkey by the recent autoregressive distributed lag (ARDL) bounds testing approach to cointegration. As a developing country, Turkey meets its growing demand for oil principally by foreign suppliers. Thus, the study focuses on modelling the demand for imported crude oil using annual data covering the period 1980-2005. The bounds test results reveal that a long-run cointegration relationship exists between the crude oil import and the explanatory variables: nominal price and income, but not in the model that includes real price in domestic currency. The long-run parameters are estimated through a long-run static solution of the estimated ARDL model, and then the short-run dynamics are estimated by the error correction model. The estimated models pass the diagnostic tests successfully. The findings reveal that the income and price elasticities of import demand for crude oil are inelastic both in the short run and in the long run

  4. 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.

  5. A long- and short-run analysis of electricity demand in Ciudad Juarez

    Science.gov (United States)

    Mendez-Carrillo, Ericka Cecilia

    Economic growth and appliance saturation are increasing electricity consumption in Mexico. Annual frequency data from 1990 to 2012 are utilized to develop an error correction framework that sheds light on short- and long-run electricity consumption behavior in Ciudad Juarez, a large Mexican metropolitan economy at the border with the United States. The results for this study reveal that electricity is an inelastic normal good in this market. Moreover, natural gas is found to be a weak complement to electricity. With regards to the customer base in this urban economy, population, employment, and income exercise positive and statistically significant impacts on the demand for electricity hook-ups.

  6. The structure of residential energy demand in Greece

    International Nuclear Information System (INIS)

    Rapanos, Vassilis T.; Polemis, Michael L.

    2006-01-01

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

  7. Residential energy demand in Brazil

    International Nuclear Information System (INIS)

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

    1981-01-01

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

  8. 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)

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

    International Nuclear Information System (INIS)

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

    2007-01-01

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

  10. Residential electricity demand in Singapore

    International Nuclear Information System (INIS)

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

    1992-01-01

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

  11. 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.

  12. 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)

  13. 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)

  14. 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.

  15. Have Chinese water pricing reforms reduced urban residential water demand?

    Science.gov (United States)

    Zhang, B.; Fang, K. H.; Baerenklau, K. A.

    2017-06-01

    China continues to deal with severe levels of water scarcity and water pollution. To help address this situation, the Chinese central government initiated urban water pricing reforms in 2002 that emphasized the adoption of increasing block rate (IBR) price structures in place of existing uniform rate structures. By combining urban water use records with microlevel data from the Chinese Urban Household Survey, this research investigates the effectiveness of this national policy reform. Specifically, we compare household water consumption in 28 cities that adopted IBR pricing structures during 2002-2009, with that of 110 cities that had not yet done so. Based on difference-in-differences models, our results show that the policy reform reduced annual residential water demand by 3-4% in the short run and 5% in the longer run. These relatively modest reductions are consistent with the generous nature of the IBR pricing structures that Chinese cities have typically chosen to implement. Our results imply that more efforts are needed to address China's persistent urban water scarcity challenges.

  16. Electricity demand for South Korean residential sector

    International Nuclear Information System (INIS)

    Sa'ad, Suleiman

    2009-01-01

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

  17. Electricity demand for South Korean residential sector

    Energy Technology Data Exchange (ETDEWEB)

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

    2009-12-15

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

  18. 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

  19. 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.

  20. Demand of elderly people for residential care: an exploratory study

    NARCIS (Netherlands)

    van Bilsen, P.; Hamers, J.; Groot, W.; Spreeuwenberg, C.

    2006-01-01

    Background: Because of the rapid aging population, the demand for residential care exceeds availability. This paper presents the results of a study that focuses on the demand of elderly people for residential care and determinants (elderly people's personal characteristics, needs and resources) that

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

    International Nuclear Information System (INIS)

    Bhattacharyya, Subhes C.

    2015-01-01

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

  2. Analysis of a Residential Building Energy Consumption Demand Model

    Directory of Open Access Journals (Sweden)

    Meng Liu

    2011-03-01

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

  3. Retiring the Short-Run Aggregate Supply Curve

    Science.gov (United States)

    Elwood, S. Kirk

    2010-01-01

    The author argues that the aggregate demand/aggregate supply (AD/AS) model is significantly improved--although certainly not perfected--by trimming it of the short-run aggregate supply (SRAS) curve. Problems with the SRAS curve are shown first for the AD/AS model that casts the AD curve as identifying the equilibrium level of output associated…

  4. Demand flexibility from residential heat pump

    DEFF Research Database (Denmark)

    Bhattarai, Bishnu Prasad; Bak-Jensen, Birgitte; Pillai, Jayakrishnan Radhakrishna

    2014-01-01

    Demand response (DR) is considered as a potentially effective tool to compensate generation intermittency imposed by renewable sources. Further, DR can instigate to offer optimum asset utilization and to avoid or delay the need for new infrastructure investment. Being a sizable load together...... with high thermal time constant, heat pumps (HP) can offer a great deal of flexibility in the future intelligent grids especially to compensate fluctuating generation. However, the HP flexibility is highly dependent on thermal demand profile, namely hot water and space heating demand. This paper proposes...... price based scheduling followed by a demand dispatch based central control and a local voltage based adaptive control, to realize HP demand flexibility. Two-step control architecture, namely local primary control encompassed by the central coordinative control, is proposed to implement...

  5. Estimating the Determinants of Residential Water Demand in Italy

    OpenAIRE

    Giulia Romano; Nicola Salvati; Andrea Guerrini

    2014-01-01

    The aim of this study was to estimate the determinants of residential water demand for chief towns of every Italian province, in the period 2007–2009, using the linear mixed-effects model estimated with the restricted-maximum-likelihood method. Results confirmed that the applied tariff had a negative effect on residential water consumption and that it was a relevant driver of domestic water consumption. Moreover, income per capita had a positive effect on water consumption. Among measured cli...

  6. Probabilistic Quantification of Potentially Flexible Residential Demand

    DEFF Research Database (Denmark)

    Kouzelis, Konstantinos; Mendaza, Iker Diaz de Cerio; Bak-Jensen, Birgitte

    2014-01-01

    The balancing of power systems with high penetration of renewable energy is a serious challenge to be faced in the near future. One of the possible solutions, recently capturing a lot of attention, is demand response. Demand response can only be achieved by power consumers holding loads which allow...... them to modify their normal power consumption pattern, namely flexible consumers. However flexibility, despite being constantly mentioned, is usually not properly defined and even rarer quantified. This manuscript introduces a methodology to identify and quantify potentially flexible demand...

  7. 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

  8. Short Run Profit Maximization in a Convex Analysis Framework

    Directory of Open Access Journals (Sweden)

    Ilko Vrankic

    2017-03-01

    Full Text Available In this article we analyse the short run profit maximization problem in a convex analysis framework. The goal is to apply the results of convex analysis due to unique structure of microeconomic phenomena on the known short run profit maximization problem where the results from convex analysis are deductively applied. In the primal optimization model the technology in the short run is represented by the short run production function and the normalized profit function, which expresses profit in the output units, is derived. In this approach the choice variable is the labour quantity. Alternatively, technology is represented by the real variable cost function, where costs are expressed in the labour units, and the normalized profit function is derived, this time expressing profit in the labour units. The choice variable in this approach is the quantity of production. The emphasis in these two perspectives of the primal approach is given to the first order necessary conditions of both models which are the consequence of enveloping the closed convex set describing technology with its tangents. The dual model includes starting from the normalized profit function and recovering the production function, and alternatively the real variable cost function. In the first perspective of the dual approach the choice variable is the real wage, and in the second it is the real product price expressed in the labour units. It is shown that the change of variables into parameters and parameters into variables leads to both optimization models which give the same system of labour demand and product supply functions and their inverses. By deductively applying the results of convex analysis the comparative statics results are derived describing the firm's behaviour in the short run.

  9. 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.

  10. The aging US population and residential energy demand

    International Nuclear Information System (INIS)

    Tonn, Bruce; Eisenberg, Joel

    2007-01-01

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

  11. 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.

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

    International Nuclear Information System (INIS)

    Filippini, Massimo; Hunt, Lester C.

    2012-01-01

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

  13. Social implications of residential demand response in cool temperate climates

    International Nuclear Information System (INIS)

    Darby, Sarah J.; McKenna, Eoghan

    2012-01-01

    Residential electrical demand response (DR) offers the prospect of reducing the environmental impact of electricity use, and also the supply costs. However, the relatively small loads and numerous actors imply a large effort: response ratio. Residential DR may be an essential part of future smart grids, but how viable is it in the short to medium term? This paper reviews some DR concepts, then evaluates the propositions that households in cool temperate climates will be in a position to contribute to grid flexibility within the next decade, and that that they will allow some automated load control. Examples of demand response from around the world are discussed in order to assess the main considerations for cool climates. Different tariff types and forms of control are assessed in terms of what is being asked of electricity users, with a focus on real-time pricing and direct load control in energy systems with increasingly distributed resources. The literature points to the significance of thermal loads, supply mix, demand-side infrastructure, market regulation, and the framing of risks and opportunities associated with DR. In concentrating on social aspects of residential demand response, the paper complements the body of work on technical and economic potential. - Highlights: ► Demand response implies major change in governance of electricity systems. ► Households in cool temperate climates can be flexible, mainly with thermal loads. ► DR requires simple tariffs, appropriate enabling technology, education, and feedback. ► Need to test consumer acceptance of DR in specific conditions. ► Introduce tariffs with technologies e.g., TOU tariff plus DLC with electric vehicles.

  14. Estimating the Determinants of Residential Water Demand in Italy

    Directory of Open Access Journals (Sweden)

    Giulia Romano

    2014-09-01

    Full Text Available The aim of this study was to estimate the determinants of residential water demand for chief towns of every Italian province, in the period 2007–2009, using the linear mixed-effects model estimated with the restricted-maximum-likelihood method. Results confirmed that the applied tariff had a negative effect on residential water consumption and that it was a relevant driver of domestic water consumption. Moreover, income per capita had a positive effect on water consumption. Among measured climatic and geographical features, precipitation and altitude exerted a strongly significant negative effect on water consumption, while temperature did not influence water demand. Further, data show that small towns in terms of population served were characterized by lower levels of consumption. Water utilities ownership itself did not have a significant effect on water consumption but tariffs were significantly lower and residential water consumption was higher in towns where the water service was managed by publicly owned water utilities. However, further research is needed to gain a better understanding of the connection between ownership of water utilities and water prices and water consumption.

  15. Residential green power demand in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Dagher, Leila; Bird, Lori; Heeter, Jenny

    2017-12-01

    This paper investigates the demand determinants of green power in the U.S. residential sector. The data employed were collected by the National Renewable Energy Laboratory and consist of a cross-section of seven utilities observed over 13 years. A series of tests are performed that resulted in estimating a demand equation using the one-way cross-section random effects model. As expected, we find that demand is highly price inelastic. More interestingly though, is that elasticity with respect to number of customers is 0.52 leading to the conclusion that new subscribers tend to purchase less green power on average than the existing customers. Another compelling finding is that obtaining accreditation will have a 28.5% positive impact on consumption. Knowing that gaining green accreditation is important to the success of programs, utilities may want to seek certification and highlight it in their advertising campaigns.

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

    International Nuclear Information System (INIS)

    Gilbraith, Nathaniel; Powers, Susan E.

    2013-01-01

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

  17. Supply security and short-run capacity markets for electricity

    International Nuclear Information System (INIS)

    Creti, Anna; Fabra, Natalia

    2007-01-01

    The creation of electricity markets has raised the fundamental question as to whether markets create the right incentives for the provision of the reserves needed to maintain supply security in the short-run, or whether some form of regulation is required. In some states in the US, electricity distributors have been made responsible for providing such reserves by contracting capacity in excess of their forecasted peak demand. The so-called Installed Capacity Markets provide one means of contracting reserves, and are the subject of this paper. Under monopoly as well as under perfect competition, we identify firms' short-run opportunity costs of committing resources in the capacity market and the costs of inducing full capacity commitment. The long-run investment problem is not considered. From a welfare viewpoint, we also compare the desirability of providing reserves either through capacity markets or through the demand side (i.e. power curtailments). At the optimum, capacity obligations equal peak demand (plus expected outages) and the capacity deficiency rate (which serves as a price cap) is set at firms' opportunity costs of providing full capacity commitment. (Author)

  18. Price and income elasticities of residential energy demand in Germany

    International Nuclear Information System (INIS)

    Schulte, Isabella; Heindl, Peter

    2017-01-01

    We apply a quadratic expenditure system to estimate price and expenditure elasticities of residential energy demand (electricity and heating) in Germany. Using official expenditure data from 1993 to 2008, we estimate an expenditure elasticity for electricity of 0.3988 and of 0.4055 for space heating. The own price elasticity for electricity is −0.4310 and −0.5008 in the case of space heating. Disaggregation of households by expenditure and socio-economic composition reveals that the behavioural response to energy price changes is weaker (stronger) for low-income (top-income) households. There are considerable economies of scale in residential energy use but scale effects are not well approximated by the new OECD equivalence scale. Real increases in energy prices show a regressive pattern of incidence, implying that the welfare consequences of direct energy taxation are larger for low income households. The application of zero-elasticities in assessments of welfare consequences of energy taxation strongly underestimates potential welfare effects. The increase in inequality is 22% smaller when compared to the application of disaggregated price and income elasticities as estimated in this paper. - Highlights: • We estimate price, income, and expenditure elasticities for residential energy demand in Germany. • We differentiate elasticities by income groups and household type. • Electricity and space heating are necessary goods since the expenditure elasticities are smaller than unity. • Low-income households show a weaker reaction to changing prices when compared to high-income households. • Direct energy taxation has regressive effects, meaning that larger burdens fall upon low-income households.

  19. Predicting residential energy and water demand using publicly available data

    International Nuclear Information System (INIS)

    Hoşgör, Enes; Fischbeck, Paul S.

    2015-01-01

    Highlights: • We built regression models using publicly available data as independent variables. • These models were used to predict monthly utility usage. • Such models can empower demand-side management program design, implementation and evaluation. • As well as planning for changes in energy and water demand. - Abstract: The overarching objective behind this work is to merge publicly available data with utility consumption histories and extract statistically significant insight on utility usage for a group of houses (n = 7022) in Gainesville, USA. This study investigates the statistical descriptive power of publicly available information for modeling utility usage. We first examine the deviations that arise from monthly utility usage reading dates as reading dates tend to shift and reading periods tend to vary across different months. Then we run regression models for individual months which in turn we compare to a yearly regression model which accounts for months as a dummy variable to understand whether a monthly model or a yearly model has a larger statistical power. It is shown that publicly available data can be used to model residential utility usage in the absence of highly private utility data. The obtained results are helpful for utilities for two reasons: (1) using the models to predict the monthly changes in demand; and (2) predicting utility usage can be translated into energy-use intensity as a first-cut metric for energy efficiency targeting in their service territory to meet their state demand reduction targets

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

    International Nuclear Information System (INIS)

    Hughes, Larry

    2010-01-01

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

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

    OpenAIRE

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

    2015-01-01

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

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

    Science.gov (United States)

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

    2016-12-01

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

  3. 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.

  4. Intelligent demand side management of residential building energy systems

    Science.gov (United States)

    Sinha, Maruti N.

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

  5. 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

  6. Human behaviour and energy demand : How behavioural science can be used to reduceenergy demand in the residential sector

    OpenAIRE

    Kaczmarek, Haiko

    2015-01-01

    The threat of human induced climate change is imminent. The reason is an everyincreasing demand for energy and products, producing more and more greenhousegas emissions. Everybody needs to take responsibility now. The estimations are thatwith 2% annual energy savings from residential households 12TWh and 3.3 billionmetric tonnes of CO2 can be saved per year. Greenely, a startup from KIC InnoEnergy,wants to engage residential households to change their energy behaviour athome. They combine a s...

  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

    2018-03-01

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

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

    International Nuclear Information System (INIS)

    Rashid, T.; Sahir, M.H.

    2015-01-01

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

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

    OpenAIRE

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

    2015-01-01

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

  11. Review of barriers to the introduction of residential demand response : A case study in the Netherlands

    OpenAIRE

    Weck, M. H J; van Hooff, J.; van Sark, W. G J H M

    2017-01-01

    Demand response, defined as the shifting of electricity demand, is generally believed to have value both for the grid and for the market: by matching demand more closely to supply, consumers could profit from lower prices, while in a smart grid environment, more renewable electricity can be used and less grid capacity may be needed. However, the introduction of residential demand response programmes to support the development of smart grids that includes renewable generation is hampered by a ...

  12. Assessing the potential of residential HVAC systems for demand-side management

    NARCIS (Netherlands)

    van der Klauw, Thijs; Hoogsteen, Gerwin; Gerards, Marco Egbertus Theodorus; Hurink, Johann L.; Feng, Xianyong; Hebner, Robert E.

    This paper investigates the potential of residential heating, ventilation and air conditioning systems to contribute to dynamic demand-side management. Thermal models for seven houses in Austin, Texas are developed with the goal of using them in a planning based demand-side management methodology.

  13. Estimating U.S. residential demand for fuelwood in the presence of selectivity

    Science.gov (United States)

    Daly, Ryan Michael

    Residential energy consumers have options for home heating. With many applications, appliances, and fuel types, fuelwood used for heating faces stiff competition in modern society from other fuels. This study estimates demand for domestic fuelwood. It also examines whether evidence of bias exists from residential homes choosing to use fuelwood. The use of OLS as an estimator will yield biased results if such selectivity exists. Selectivity is addressed with a Heckman (1979) two-step procedure; bias in fuelwood demand estimation using OLS is reduced. Non-wood energy prices and income are major determinants of fuelwood demand. Geographical regions and urbanization confirm results from prior studies.

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

    OpenAIRE

    Darby, S

    2017-01-01

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

  15. A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand

    Science.gov (United States)

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

    2015-01-01

    Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times. PMID:25807384

  16. A multi-scale adaptive model of residential energy demand

    International Nuclear Information System (INIS)

    Farzan, Farbod; Jafari, Mohsen A.; Gong, Jie; Farzan, Farnaz; Stryker, Andrew

    2015-01-01

    Highlights: • We extend an energy demand model to investigate changes in behavioral and usage patterns. • The model is capable of analyzing why demand behaves the way it does. • The model empowers decision makers to investigate DSM strategies and effectiveness. • The model provides means to measure the effect of energy prices on daily profile. • The model considers the coupling effects of adopting multiple new technologies. - Abstract: In this paper, we extend a previously developed bottom-up energy demand model such that the model can be used to determine changes in behavioral and energy usage patterns of a community when: (i) new load patterns from Plug-in Electrical Vehicles (PEV) or other devices are introduced; (ii) new technologies and smart devices are used within premises; and (iii) new Demand Side Management (DSM) strategies, such as price responsive demand are implemented. Unlike time series forecasting methods that solely rely on historical data, the model only uses a minimal amount of data at the atomic level for its basic constructs. These basic constructs can be integrated into a household unit or a community model using rules and connectors that are, in principle, flexible and can be altered according to the type of questions that need to be answered. Furthermore, the embedded dynamics of the model works on the basis of: (i) Markovian stochastic model for simulating human activities, (ii) Bayesian and logistic technology adoption models, and (iii) optimization, and rule-based models to respond to price signals without compromising users’ comfort. The proposed model is not intended to replace traditional forecasting models. Instead it provides an analytical framework that can be used at the design stage of new products and communities to evaluate design alternatives. The framework can also be used to answer questions such as why demand behaves the way it does by examining demands at different scales and by playing What-If games. These

  17. Balancing islanded residential microgrids using demand side management

    NARCIS (Netherlands)

    Hoogsteen, Gerwin; van der Klauw, Thijs; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria; Feng, Xianyong; Hebner, Robert E.

    2016-01-01

    Now that the internet of things is emerging, control of domestic assets within the smart micro grids is also gaining interest. Furthermore, these micro grids may operate in islanded mode for short periods. Various demand side management approaches are presented in literature to control these assets.

  18. Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception

    International Nuclear Information System (INIS)

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

    2011-01-01

    Increased demand response is essential to fully exploit the Swedish power system, which in turn is an absolute prerequisite for meeting political goals related to energy efficiency and climate change. Demand response programs are, nonetheless, still exceptional in the residential sector of the Swedish electricity market, one contributory factor being lack of knowledge about the extent of the potential gains. In light of these circumstances, this empirical study set out with the intention of estimating the scope of households' response to, and assessing customers' perception of, a demand-based time-of-use electricity distribution tariff. The results show that households as a whole have a fairly high opinion of the demand-based tariff and act on its intrinsic price signals by decreasing peak demand in peak periods and shifting electricity use from peak to off-peak periods. - Highlights: → Households are sympathetic to demand-based tariffs, seeing as they relate to environmental issues. → Households adjust their electricity use to the price signals of demand-based tariffs. → Demand-based tariffs lead to a shift in electricity use from peak to off-peak hours. → Demand-based tariffs lead to a decrease in maximum demand in peak periods. → Magnitude of these effects increases over time.

  19. 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.

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

    Directory of Open Access Journals (Sweden)

    Antimo Barbato

    2014-09-01

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

  1. 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

  2. Norwegian Residential Energy Demand: Coordinated use of a System Engineering and a Macroeconomic Model

    Directory of Open Access Journals (Sweden)

    Tor A Johnsen

    1996-07-01

    Full Text Available In Norway, the system engineering model MARKAL and the macroeconomic model MSG-EE are both used in studies of national CO2 controlling strategies. MARKAL is a linear programming model that calculates a composite set of technologies necessary to meet demand and environmental constraints at minimised total energy expenditure. MSG-EE is an applied general equilibrium model including the link between economic activity, energy demand and emissions to air. MSG-EE has a theory consistent description of the link between income, prices and energy demand, but the representation of technological improvements is simple. MARKAL has a sophisticated description of future energy technology options, but includes no feedback to the general economy. A project for studying the potential for a coordinated use of these two models was initiated and funded by the Norwegian Research Council (NFR. This paper gives a brief presentation of the two models. Results from independent model calculations show that MARKAL gives a signficant lower residential energy demand than MSG-EE does. This is explained by major differences in modelling approach. A first attempt of coordinating the residential energy demand in the models is reported. This attempt shows that implementing results from MARKAL, in MSG-EE for the residential sector alone gives little impact on the general economy. A further development of an iteration procedure between the models should include all energy using sectors.

  3. Public goods and private interests: Understanding non-residential demand for green power

    Energy Technology Data Exchange (ETDEWEB)

    Wiser, Ryan H.; Fowlie, Meredith; Holt, Edward A.

    2001-01-01

    This article presents the results of the first large-scale mail survey of non-residential green power customers in the United States. The survey explored the motivations, attitudes, and experiences of 464 business, non-profit, and public-sector customers that have voluntarily opted to purchase - and frequently pay a premium for - renewable electricity. Results of this study should be of value to marketers interested in targeting these customer segments, to policy makers interested in fostering and understanding non-residential demand for green power, and to academics pondering the motivations for firms to engage in such voluntary environmental initiatives.

  4. The impact of residential demand response on the costs of a fossil-free system reserve

    DEFF Research Database (Denmark)

    Katz, Jonas; Balyk, Olexandr; Hevia Koch, Pablo Alejandro

    2016-01-01

    In order to achieve a better understanding of the system value of residential demand response, we study the potential impact of flexible demand on the costs of system reserves in a fossil-free electricity supply. Comparing these costs with traditional means of regulation our analysis aims...... to contribute to determining the least-cost options for regulation in a fossil-free power system. We extend an existing energy system model with demand response and reserve modelling and analyse the impact for the case of Denmark in 2035 to reflect a system based on renewable resources for electricity...

  5. Quantifying short run cost-effectiveness during a gradual implementation process.

    Science.gov (United States)

    van de Wetering, Gijs; Woertman, Willem H; Verbeek, Andre L; Broeders, Mireille J; Adang, Eddy M M

    2013-12-01

    This paper examines the short run inefficiencies that arise during gradual implementation of a new cost-effective technology in healthcare. These inefficiencies arise when health gains associated with the new technology cannot be obtained immediately because the new technology does not yet supply all patients, and when there is overcapacity for the old technology in the short run because the supply of care is divided among two mutually exclusive technologies. Such efficiency losses are not taken into account in standard textbook cost-effectiveness analysis in which a steady state is presented where costs and effects are assumed to be unchanging over time. A model is constructed to quantify such short run inefficiencies as well as to inform the decision maker about the optimal implementation pattern for the new technology. The model operates by integrating the incremental net benefit equations for both the period of co-existence of mutually exclusive technologies and the period after complete substitution of the old technology. It takes into account the rate of implementation of the new technology, depreciation of capital of the old technology as well as the demand curves for both technologies. The model is applied to the real world case of converting from screen film to digital mammography in the Netherlands.

  6. Short-run and Current Analysis Model in Statistics

    Directory of Open Access Journals (Sweden)

    Constantin Anghelache

    2006-01-01

    Full Text Available Using the short-run statistic indicators is a compulsory requirement implied in the current analysis. Therefore, there is a system of EUROSTAT indicators on short run which has been set up in this respect, being recommended for utilization by the member-countries. On the basis of these indicators, there are regular, usually monthly, analysis being achieved in respect of: the production dynamic determination; the evaluation of the short-run investment volume; the development of the turnover; the wage evolution: the employment; the price indexes and the consumer price index (inflation; the volume of exports and imports and the extent to which the imports are covered by the exports and the sold of trade balance. The EUROSTAT system of indicators of conjuncture is conceived as an open system, so that it can be, at any moment extended or restricted, allowing indicators to be amended or even removed, depending on the domestic users requirements as well as on the specific requirements of the harmonization and integration. For the short-run analysis, there is also the World Bank system of indicators of conjuncture, which is utilized, relying on the data sources offered by the World Bank, The World Institute for Resources or other international organizations statistics. The system comprises indicators of the social and economic development and focuses on the indicators for the following three fields: human resources, environment and economic performances. At the end of the paper, there is a case study on the situation of Romania, for which we used all these indicators.

  7. Short-run and Current Analysis Model in Statistics

    Directory of Open Access Journals (Sweden)

    Constantin Mitrut

    2006-03-01

    Full Text Available Using the short-run statistic indicators is a compulsory requirement implied in the current analysis. Therefore, there is a system of EUROSTAT indicators on short run which has been set up in this respect, being recommended for utilization by the member-countries. On the basis of these indicators, there are regular, usually monthly, analysis being achieved in respect of: the production dynamic determination; the evaluation of the short-run investment volume; the development of the turnover; the wage evolution: the employment; the price indexes and the consumer price index (inflation; the volume of exports and imports and the extent to which the imports are covered by the exports and the sold of trade balance. The EUROSTAT system of indicators of conjuncture is conceived as an open system, so that it can be, at any moment extended or restricted, allowing indicators to be amended or even removed, depending on the domestic users requirements as well as on the specific requirements of the harmonization and integration. For the short-run analysis, there is also the World Bank system of indicators of conjuncture, which is utilized, relying on the data sources offered by the World Bank, The World Institute for Resources or other international organizations statistics. The system comprises indicators of the social and economic development and focuses on the indicators for the following three fields: human resources, environment and economic performances. At the end of the paper, there is a case study on the situation of Romania, for which we used all these indicators.

  8. 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

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

    Science.gov (United States)

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

    2017-12-01

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

  11. Impact of Scheduling Flexibility on Demand Profile Flatness and User Inconvenience in Residential Smart Grid System

    Directory of Open Access Journals (Sweden)

    Naveed Ul Hassan

    2013-12-01

    Full Text Available The objective of this paper is to study the impact of scheduling flexibility on both demand profile flatness and user inconvenience in residential smart grid systems. Temporal variations in energy consumption by end users result in peaks and troughs in the aggregated demand profile. In a residential smart grid, some of these peaks and troughs can be eliminated through appropriate load balancing algorithms. However, load balancing requires user participation by allowing the grid to re-schedule some of their loads. In general, more scheduling flexibility can result in more demand profile flatness, however the resulting inconvenience to users would also increase. In this paper, our objective is to help the grid determine an appropriate amount of scheduling flexibility that it should demand from users, based on which, proper incentives can be designed. We consider three different types of scheduling flexibility (delay, advance scheduling and flexible re-scheduling in flexible loads and develop both optimal and sub-optimal scheduling algorithms. We discuss their implementation in centralized and distributed manners. We also identify the existence of a saturation point. Beyond this saturation point, any increase in scheduling flexibility does not significantly affect the flatness of the demand profile while user inconvenience continues to increase. Moreover, full participation of all the households is not required since increasing user participation only marginally increases demand profile flatness.

  12. Price, environment and security: Exploring multi-modal motivation in voluntary residential peak demand response

    International Nuclear Information System (INIS)

    Gyamfi, Samuel; Krumdieck, Susan

    2011-01-01

    Peak demand on electricity grids is a growing problem that increases costs and risks to supply security. Residential sector loads often contribute significantly to seasonal and daily peak demand. Demand response projects aim to manage peak demand by applying price signals and automated load shedding technologies. This research investigates voluntary load shedding in response to information about the security of supply, the emission profile and the cost of meeting critical peak demand in the customers' network. Customer willingness to change behaviour in response to this information was explored through mail-back survey. The diversified demand modelling method was used along with energy audit data to estimate the potential peak load reduction resulting from the voluntary demand response. A case study was conducted in a suburb of Christchurch, New Zealand, where electricity is the main source for water and space heating. On this network, all water heating cylinders have ripple-control technology and about 50% of the households subscribe to differential day/night pricing plan. The survey results show that the sensitivity to supply security is on par with price, with the emission sensitivity being slightly weaker. The modelling results show potential 10% reduction in critical peak load for aggregate voluntary demand response. - Highlights: → Multiple-factor behaviour intervention is necessarily for effective residential demand response. → Security signals can achieve result comparable to price. → The modelling results show potential 10% reduction in critical peak load for aggregate voluntary demand response. → New Zealand's energy policy should include innovation and development of VDR programmes and technologies.

  13. Modeling of Residential Water Demand Using Random Effect Model,Case Study: Arak City

    Directory of Open Access Journals (Sweden)

    Seyed Hossein Sajadifar

    2011-10-01

    Full Text Available The present study tries to apply the “Partial Adjustment Model” and “Random Effect Model” techniques to the Stone-Greay’s linear expenditure system, in order to estimate the "Residential Seasonal Demand" for water in Arak city. Per capita water consumption of family residences is regressed on marginal price, per capita income, price of other goods, average temperature and average rainfall. Panel data approaches based on a sample of 152 observations from Arak city referred to 1993-2003. From the estimation of the Elasticity-price of the residential water demand, we want to know how a policy of responsive pricing can lead to more efficient household water consumption inArakcity. Results also indicated that summer price elasticity was twice the winter and price and income elasticity was less than 1 in all cases.

  14. Performance Evaluation of Residential Demand Response Based on a Modified Fuzzy VIKOR and Scalable Computing Method

    Directory of Open Access Journals (Sweden)

    Jun Dong

    2018-04-01

    Full Text Available For better utilizing renewable energy resources and improving the sustainability of power systems, demand response is widely applied in China, especially in recent decades. Considering the massive potential flexible resources in the residential sector, demand response programs are able to achieve significant benefits. This paper proposes an effective performance evaluation framework for such programs aimed at residential customers. In general, the evaluation process will face multiple criteria and some uncertain factors. Therefore, we combine the multi-criteria decision making concept and fuzzy set theory to accomplish the model establishment. By introducing trapezoidal fuzzy numbers into the Vlsekriterijumska Optimizacijia I Kompromisno Resenje (VIKOR method, the evaluation model can effectively deal with the subjection and fuzziness of experts’ opinions. Furthermore, we ameliorate the criteria weight determination procedure of traditional models via combining the fuzzy Analytic Hierarchy Process and Shannon entropy method, which can incorporate objective information and subjective judgments. Finally, the proposed evaluation framework is verified by the empirical analysis of five demand response projects in Chinese residential areas. The results give a valid performance ranking of the five alternatives and indicate that more attention should be paid to the criteria affiliated with technology level and economy benefits. In addition, a series of sensitivity analyses are conducted to examine the validity and effectiveness of the established evaluation framework and results. The study improves traditional multi-criteria decision making method VIKOR by introducing trapezoidal fuzzy numbers and combination weighing technique, which can provide an effective mean for performance evaluation of residential demand response programs in a fuzzy environment.

  15. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-09-15

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

  17. Analysis of Cool Roof Coatings for Residential Demand Side Management in Tropical Australia

    Directory of Open Access Journals (Sweden)

    Wendy Miller

    2015-06-01

    Full Text Available Cool roof coatings have a beneficial impact on reducing the heat load of a range of building types, resulting in reduced cooling energy loads. This study seeks to understand the extent to which cool roof coatings could be used as a residential demand side management (DSM strategy for retrofitting existing housing in a constrained network area in tropical Australia where peak electrical demand is heavily influenced by residential cooling loads. In particular this study seeks to determine whether simulation software used for building regulation purposes can provide networks with the ‘impact certainty’ required by their DSM principles. The building simulation method is supported by a field experiment. Both numerical and experimental data confirm reductions in total consumption (kWh and energy demand (kW. The nature of the regulated simulation software, combined with the diverse nature of residential buildings and their patterns of occupancy, however, mean that simulated results cannot be extrapolated to quantify benefits to a broader distribution network. The study suggests that building data gained from regulatory simulations could be a useful guide for potential impacts of widespread application of cool roof coatings in this region. The practical realization of these positive impacts, however, would require changes to the current business model for the evaluation of DSM strategies. The study provides seven key recommendations that encourage distribution networks to think beyond their infrastructure boundaries, recognising that the broader energy system also includes buildings, appliances and people.

  18. Neural network controller for Active Demand-Side Management with PV energy in the residential sector

    International Nuclear Information System (INIS)

    Matallanas, E.; Castillo-Cagigal, M.; Gutiérrez, A.; Monasterio-Huelin, F.; Caamaño-Martín, E.; Masa, D.; Jiménez-Leube, J.

    2012-01-01

    Highlights: ► We have developed a neural controller for Active Demand-Side Management. ► The controller consists of Multilayer Perceptrons evolved with a genetic algorithm. ► The architecture of the controller is distributed and modular. ► The simulations show that the electrical local behavior improves. ► Active Demand-Side Management helps users to control his energy behaviour. -- Abstract: In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.

  19. Estimating the residential demand function for natural gas in Seoul with correction for sample selection bias

    International Nuclear Information System (INIS)

    Yoo, Seung-Hoon; Lim, Hea-Jin; Kwak, Seung-Jun

    2009-01-01

    Over the last twenty years, the consumption of natural gas in Korea has increased dramatically. This increase has mainly resulted from the rise of consumption in the residential sector. The main objective of the study is to estimate households' demand function for natural gas by applying a sample selection model using data from a survey of households in Seoul. The results show that there exists a selection bias in the sample and that failure to correct for sample selection bias distorts the mean estimate, of the demand for natural gas, downward by 48.1%. In addition, according to the estimation results, the size of the house, the dummy variable for dwelling in an apartment, the dummy variable for having a bed in an inner room, and the household's income all have positive relationships with the demand for natural gas. On the other hand, the size of the family and the price of gas negatively contribute to the demand for natural gas. (author)

  20. Responsiveness of residential electricity demand to dynamic tariffs : experiences from a large field test in the Netherlands

    NARCIS (Netherlands)

    Klaassen, E.A.M.; Kobus, C.B.A.; Frunt, J.; Slootweg, J.G.

    2016-01-01

    To efficiently facilitate the energy transition it is essential to evaluate the potential of demand response in practice. Based on the results of a Dutch smart grid pilot, this paper assesses the potential of both manual and semi-automated demand response in residential areas. To stimulate demand

  1. Responsiveness of residential electricity demand to dynamic tariffs : Experiences from a large field test in the Netherlands

    NARCIS (Netherlands)

    Klaassen, EAM; Kobus, C.B.A.; Frunt, J; Slootweg, JG

    2016-01-01

    To efficiently facilitate the energy transition it is essential to evaluate the potential of demand response in practice. Based on the results of a Dutch smart grid pilot, this paper assesses the potential of both manual and semi-automated demand response in residential areas. To stimulate demand

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

    DEFF Research Database (Denmark)

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

    2015-01-01

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

  3. Coordinated Demand Response and Distributed Generation Management in Residential Smart Microgrids

    DEFF Research Database (Denmark)

    Anvari-Moghaddam, Amjad; Mokhtari, Ghassem; Guerrero, Josep M.

    2016-01-01

    potentials to increase the functionality of a typical demand-side management (DSM) strategy, and typical implementation of building-level DERs by integrating them into a cohesive, networked package that fully utilizes smart energy-efficient end-use devices, advanced building control/automation systems......Nowadays with the emerging of small-scale integrated energy systems (IESs) in form of residential smart microgrids (SMGs), a large portion of energy can be saved through coordinated scheduling of smart household devices and management of distributed energy resources (DERs). There are significant......, and an integrated communications architecture to efficiently manage energy and comfort at the end-use location. By the aid of such technologies, residential consumers have also the capability to mitigate their energy costs and satisfy their own requirements paying less attention to the configuration of the energy...

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

    International Nuclear Information System (INIS)

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

    2010-01-01

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

  5. 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.

  6. Evaluation of automated residential demand response with flat and dynamic pricing

    International Nuclear Information System (INIS)

    Swisher, Joel; Wang, Kitty; Stewart, Stewart

    2005-01-01

    This paper reviews the performance of two recent automated load management programs for residential customers of electric utilities in two American states. Both pilot programs have been run with about 200 participant houses each, and both programs have control populations of similar customers without the technology or program treatment. In both cases, the technology used in the pilot is GoodWatts, an advanced, two-way, real-time, comprehensive home energy management system. The purpose of each pilot is to determine the household kW reduction in coincident peak electric load from the energy management technology. Nevada Power has conducted a pilot program for Air-Conditioning Load Management (ACLM), in which customers are sent an electronic curtailment signal for three-hour intervals during times of maximum peak demand. The participating customers receive an annual incentive payment, but otherwise they are on a conventional utility tariff. In California, three major utilities are jointly conducting a pilot demonstration of an Automated Demand Response System (ADRS). Customers are on a time-of-use (ToU) tariff, which includes a critical peak pricing (CPP) element. During times of maximum peak demand, customers are sent an electronic price signal that is three times higher than the normal on-peak price. Houses with the automated GoodWatts technology reduced their demand in both the ACLM and the ADRS programs by about 50% consistently across the summer curtailment or super peak events, relative to homes without the technology or any load management program or tariff in place. The absolute savings were greater in the ACLM program, due to the higher baseline air conditioning loads in the hotter Las Vegas climate. The results suggest that either automated technology or dynamic pricing can deliver significant demand response in low-consumption houses. However, for high-consumption houses, automated technology can reduce load by a greater absolute kWh difference. Targeting

  7. Risks, Information and Short-Run Timber Supply

    Directory of Open Access Journals (Sweden)

    Francesca Rinaldi

    2013-12-01

    Full Text Available Efforts to increase wood mobilization have highlighted the need to appraise drivers of short-run timber supply. The current study aims to shed further light on harvesting decisions of private forest owners, by investigating optimal harvesting under uncertainty, when timber revenues are invested on financial markets and uncertainty is mitigated by news releases. By distinguishing between aggregate economic risk and sector specific risks, the model studies in great detail optimal harvesting-investment decisions, with particular emphasis on the non-trivial transmission of risk on optimal harvesting, and on the way private forest owners react to news and information. The analysis of the role played by information in harvesting decisions is a novelty in forest economic theory. The presented model is highly relevant from a policy—information is a commonly used forest policy instrument—as well as a practical perspective, since the mechanism of risk transmission is at the basis of timber pricing.

  8. 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.

  9. Assessing the benefits of residential demand response in a real time distribution energy market

    International Nuclear Information System (INIS)

    Siano, Pierluigi; Sarno, Debora

    2016-01-01

    Highlights: • A new probabilistic methodology, integrating DR in a distribution energy market is proposed. • The method can alleviate distribution network congestions. • This method based on D-LMPs allows cost savings for end-user customers. • Innovative thermal and shiftable loads Real Time control algorithms are also presented. - Abstract: In the field of electricity distribution networks and with the advent of smart grids and microgrids, the use of Distribution Locational Marginal Price (D-LMPs) in a Real Time (RT) distribution market managed by a Distribution System Operator (DSO) is discussed in presence of empowered residential end-users that are able to bid for energy by a demand aggregator while following Demand Response (DR) initiatives. Each customer is provided by a transactive controller, which reads the locational market signals and answers with a bid taking into account the user preferences about some appliances involved in DR activities and controlled by smart plugs-in. In particular, Heating Ventilation and Air Conditioning (HVAC) appliances and shiftable loads are controlled so that their consumption profile can be modified according to the price of energy. In order to assess the effectiveness of the proposed method in terms of energy and cost saving, an innovative probabilistic methodology for evaluating the impact of residential DR choices considering uncertainties related to load demand, user preferences, environmental conditions, house thermal behavior and wholesale market trends has been proposed. The uncertainties related to the stochastic variations of the variables involved are modeled by using the Monte Carlo Simulation (MCS) method. The combination of MCS and RT distribution market simulation based on D-LMPs are used to assess the operation and impact of the DR method over one month. Simulations results on an 84-buses distribution network confirmed that the proposed method allows saving costs for residential end-users and making

  10. Implications of CO2 Emissions Trading for Short-run Electricity Outcomes in Northwest Europe

    International Nuclear Information System (INIS)

    Chen, Y.; Sijm, J.P.M.; Hobbs, B.F.; Lise, W.

    2008-02-01

    We examine the short-run implications of CO2 trading for power production, prices, emissions, and generator profits in northwest Europe in 2005. Simulation results from a transmission-constrained oligopoly model are compared with theoretical analyses to quantify price increases and windfall profits earned by generators. The analyses indicate that the rates at which CO2 costs are passed through to wholesale prices are affected by market competitiveness, merit order changes, and elasticities of demand and supply. Emissions trading results in large windfall profits, much but not all of which is due to free allocation of allowances. Profits also increase for some generators because their generation mix has low emissions, and so they benefit from electricity price increases. Most emission reductions appear to be due to demand response, not generation redispatch

  11. Implications of CO2 Emissions Trading for Short-run Electricity Outcomes in Northwest Europe

    Energy Technology Data Exchange (ETDEWEB)

    Chen, Y. [School of Social Sciences, Humanities, and Arts and School of Engineering, Sierra Nevada Research Institute, University of California, Merced, 5200 N. Lake Rd., Merced, CA 95343 (United States); Sijm, J.P.M. [Policy Studies Unit, Energy Research Centre of the Netherlands ECN, P.O. Box 37154, 1020 Amsterdam (Netherlands); Hobbs, B.F. [Department of Geography and Environmental Engineering, The Johns Hopkins University, 3400 N. Charles St, Ames Hall, Baltimore, MD 21218 (United States); Lise, W. [IBS Research and Consultancy, Aga Hamami Caddesi, Aga Han 17/6, Cihangir, 34433 Beyoglu, Istanbul (Turkey)

    2008-02-15

    We examine the short-run implications of CO2 trading for power production, prices, emissions, and generator profits in northwest Europe in 2005. Simulation results from a transmission-constrained oligopoly model are compared with theoretical analyses to quantify price increases and windfall profits earned by generators. The analyses indicate that the rates at which CO2 costs are passed through to wholesale prices are affected by market competitiveness, merit order changes, and elasticities of demand and supply. Emissions trading results in large windfall profits, much but not all of which is due to free allocation of allowances. Profits also increase for some generators because their generation mix has low emissions, and so they benefit from electricity price increases. Most emission reductions appear to be due to demand response, not generation redispatch.

  12. Energy demand of the German and Dutch residential building stock under climate change

    Science.gov (United States)

    Olonscheck, Mady; Holsten, Anne; Walther, Carsten; Kropp, Jürgen P.

    2014-05-01

    In order to mitigate climate change, extraordinary measures are necessary in the future. The building sector, in particular, offers considerable potential for transformation to lower energy demand. On a national level, however, successful and far-reaching measures will likely be taken only if reliable estimates regarding future energy demand from different scenarios are available. The energy demand for space heating and cooling is determined by a combination of behavioral, climatic, constructional, and demographic factors. For two countries, namely Germany and the Netherlands, we analyze the combined effect of future climate and building stock changes as well as renovation measures on the future energy demand for room conditioning of residential buildings until 2060. We show how much the heating energy demand will decrease in the future and answer the question of whether the energy decrease will be exceeded by an increase in cooling energy demand. Based on a sensitivity analysis, we determine those influencing factors with the largest impact on the future energy demand from the building stock. Both countries have national targets regarding the reduction of the energy demand for the future. We provide relevant information concerning the annual renovation rates that are necessary to reach these targets. Retrofitting buildings is a win-win option as it not only helps to mitigate climate change and to lower the dependency on fossil fuels but also transforms the buildings stock into one that is better equipped for extreme temperatures that may occur more frequently with climate change. For the Netherlands, the study concentrates not only on the national, but also the provincial level, which should facilitate directed policy measures. Moreover, the analysis is done on a monthly basis in order to ascertain a deeper understanding of the future seasonal energy demand changes. Our approach constitutes an important first step towards deeper insights into the internal dynamics

  13. California DREAMing: The design of residential demand responsive technology with people in mind

    Science.gov (United States)

    Peffer, Therese Evelyn

    Electrical utilities worldwide are exploring "demand response" programs to reduce electricity consumption during peak periods. Californian electrical utilities would like to pass the higher cost of peak demand to customers to offset costs, increase reliability, and reduce peak consumption. Variable pricing strategies require technology to communicate a dynamic price to customers and respond to that price. However, evidence from thermostat and energy display studies as well as research regarding energy-saving behaviors suggests that devices cannot effect residential demand response without the sanction and participation of people. This study developed several technologies to promote or enable residential demand response. First, along with a team of students and professors, I designed and tested the Demand Response Electrical Appliance Manager (DREAM). This wireless network of sensors, actuators, and controller with a user interface provides information to intelligently control a residential heating and cooling system and to inform people of their energy usage. We tested the system with computer simulation and in the laboratory and field. Secondly, as part of my contribution to the team, I evaluated machine-learning to predict a person's seasonal temperature preferences by analyzing existing data from office workers. The third part of the research involved developing an algorithm that generated temperature setpoints based on outdoor temperature. My study compared the simulated energy use using these setpoints to that using the setpoints of a programmable thermostat. Finally, I developed and tested a user interface for a thermostat and in-home energy display. This research tested the effects of both energy versus price information and the context of sponsorship on the behavior of subjects. I also surveyed subjects on the usefulness of various displays. The wireless network succeeded in providing detailed data to enable an intelligent controller and provide feedback to

  14. Functional forms and price elasticities in a discrete continuous choice model of the residential water demand

    Science.gov (United States)

    Vásquez Lavín, F. A.; Hernandez, J. I.; Ponce, R. D.; Orrego, S. A.

    2017-07-01

    During recent decades, water demand estimation has gained considerable attention from scholars. From an econometric perspective, the most used functional forms include log-log and linear specifications. Despite the advances in this field and the relevance for policymaking, little attention has been paid to the functional forms used in these estimations, and most authors have not provided justifications for their selection of functional forms. A discrete continuous choice model of the residential water demand is estimated using six functional forms (log-log, full-log, log-quadratic, semilog, linear, and Stone-Geary), and the expected consumption and price elasticity are evaluated. From a policy perspective, our results highlight the relevance of functional form selection for both the expected consumption and price elasticity.

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

    Science.gov (United States)

    Cooter, Ellen Jean

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

  16. Simulating Residential Demand in Singapore through Five Decades of Demographic Change

    Science.gov (United States)

    Davis, N. R.; Fernández, J.

    2011-12-01

    Singapore's rapid and well-documented development over the last half-century provides an ideal case for studying urban metabolism. Extensive data [1, 2] facilitate the modeling of historical dynamics of population and resource consumption. This paper presents an agent-based population model that simulates key demographic factors - number, size, and relative income of households - through fifty years of development in Singapore. This is the first step in a broader study linking demographic factors to residential demand for urban land, materials, water, and energy. Previous studies of the resource demands of housing stock have accounted for demographics by modifying the important population driver with a single, aggregated "lifestyle" term [3, 4]. However, demographic changes that result from development can influence the nature of the residential sector, and warrant a closer look. Increasing levels of education and affluence coupled with decreasing birth rates have yielded an aging population and changing family structures in Singapore [5]. These factors all contribute to an increasingly resource-intense residential sector. Singaporeans' elevated per capita income and life expectancy have created demand for larger household area, which means a growing percentage of available land must be dedicated to residential use [6]. While the majority of Singapore's housing is public - a strategy designed to maximize land use efficiency - residents are increasingly seeking private alternatives [7]. In the private sector, lower density housing puts even greater pressure on the finite supply of undeveloped land. Agent-based modeling is used to study the selected aspects of demography. The population is disaggregated into historical time-series distributions of age, family size, education, and income. We propose a simplified methodology correlating average education level with birth rate, and income to categorize households and establish housing unit demand. Aggregated lifestyle

  17. 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.

  18. Distributed demand-side management optimisation for multi-residential users with energy production and storage strategies

    Directory of Open Access Journals (Sweden)

    Emmanuel Chifuel Manasseh

    2014-12-01

    Full Text Available This study considers load control in a multi-residential setup where energy scheduler (ES devices installed in smart meters are employed for demand-side management (DSM. Several residential end-users share the same energy source and each residential user has non-adjustable loads and adjustable loads. In addition, residential users may have storage devices and renewable energy sources such as wind turbines or solar as well as dispatchable generators. The ES devices exchange information automatically by executing an iterative distributed algorithm to locate the optimal energy schedule for each end-user. This will reduce the total energy cost and the peak-to-average ratio (PAR in energy demand in the electric power distribution. Users possessing storage devices and dispatchable generators strategically utilise their resources to minimise the total energy cost together with the PAR. Simulation results are provided to evaluate the performance of the proposed game theoretic-based distributed DSM technique.

  19. Day-ahead stochastic economic dispatch of wind integrated power system considering demand response of residential hybrid energy system

    International Nuclear Information System (INIS)

    Jiang, Yibo; Xu, Jian; Sun, Yuanzhang; Wei, Congying; Wang, Jing; Ke, Deping; Li, Xiong; Yang, Jun; Peng, Xiaotao; Tang, Bowen

    2017-01-01

    Highlights: • Improving the utilization of wind power by the demand response of residential hybrid energy system. • An optimal scheduling of home energy management system integrating micro-CHP. • The scattered response capability of consumers is aggregated by demand bidding curve. • A stochastic day-ahead economic dispatch model considering demand response and wind power. - Abstract: As the installed capacity of wind power is growing, the stochastic variability of wind power leads to the mismatch of demand and generated power. Employing the regulating capability of demand to improve the utilization of wind power has become a new research direction. Meanwhile, the micro combined heat and power (micro-CHP) allows residential consumers to choose whether generating electricity by themselves or purchasing from the utility company, which forms a residential hybrid energy system. However, the impact of the demand response with hybrid energy system contained micro-CHP on the large-scale wind power utilization has not been analyzed quantitatively. This paper proposes an operation optimization model of the residential hybrid energy system based on price response, integrating micro-CHP and smart appliances intelligently. Moreover, a novel load aggregation method is adopted to centralize scattered response capability of residential load. At the power grid level, a day-ahead stochastic economic dispatch model considering demand response and wind power is constructed. Furthermore, simulation is conducted respectively on the modified 6-bus system and IEEE 118-bus system. The results show that with the method proposed, the wind power curtailment of the system decreases by 78% in 6-bus system. In the meantime, the energy costs of residential consumers and the operating costs of the power system reduced by 10.7% and 11.7% in 118-bus system, respectively.

  20. Responsiveness of residential electricity demand to dynamic tariffs: Experiences from a large field test in the Netherlands

    OpenAIRE

    Klaassen, EAM; Kobus, C.B.A.; Frunt, J; Slootweg, JG

    2016-01-01

    To efficiently facilitate the energy transition it is essential to evaluate the potential of demand response in practice. Based on the results of a Dutch smart grid pilot, this paper assesses the potential of both manual and semi-automated demand response in residential areas. To stimulate demand response, a dynamic tariff and smart appliances were used. The participating households were informed about the tariff day-ahead through a home energy management system, connected to a display instal...

  1. Optimum residential load management strategy for real time pricing (RTP) demand response programs

    International Nuclear Information System (INIS)

    Lujano-Rojas, Juan M.; Monteiro, Cláudio; Dufo-López, Rodolfo; Bernal-Agustín, José L.

    2012-01-01

    This paper presents an optimal load management strategy for residential consumers that utilizes the communication infrastructure of the future smart grid. The strategy considers predictions of electricity prices, energy demand, renewable power production, and power-purchase of energy of the consumer in determining the optimal relationship between hourly electricity prices and the use of different household appliances and electric vehicles in a typical smart house. The proposed strategy is illustrated using two study cases corresponding to a house located in Zaragoza (Spain) for a typical day in summer. Results show that the proposed model allows users to control their diary energy consumption and adapt their electricity bills to their actual economical situation. - Highlights: ► This work shows an optimal load management strategy for residential consumers. ► It has been considered the communication infrastructure of the future smart grid. ► A study case shows the optimal utilization of some appliances and electric vehicles. ► Results showed that the proposed model allows users to reduce their electricity bill.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1982-01-01

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

  3. The impact of residential, commercial, and transport energy demand uncertainties in Asia on climate change mitigation

    International Nuclear Information System (INIS)

    Koljonen, Tiina; Lehtilä, Antti

    2012-01-01

    Energy consumption in residential, commercial and transport sectors have been growing rapidly in the non-OECD Asian countries over the last decades, and the trend is expected to continue over the coming decades as well. However, the per capita projections for energy demand in these particular sectors often seem to be very low compared to the OECD average until 2050, and it is clear that the scenario assessments of final energy demands in these sectors include large uncertainties. In this paper, a sensitivity analysis have been carried out to study the impact of higher rates of energy demand growths in the non-OECD Asia on global mitigation costs. The long term energy and emission scenarios for China, India and South-East Asia have been contributed as a part of Asian Modeling Exercise (AME). The scenarios presented have been modeled by using a global TIMES-VTT energy system model, which is based on the IEA-ETSAP TIMES energy system modeling framework and the global ETSAP-TIAM model. Our scenario results indicate that the impacts of accelerated energy demand in the non-OECD Asia has a relatively small impact on the global marginal costs of greenhouse gas abatement. However, with the accelerated demand projections, the average per capita greenhouse gas emissions in the OECD were decreased while China, India, and South-East Asia increased their per capita greenhouse gas emissions. This indicates that the costs of the greenhouse gas abatement would especially increase in the OECD region, if developing Asian countries increase their final energy consumption more rapidly than expected. - Highlights: ► Scenarios of final energy demands in developing Asia include large uncertainties. ► Impact of accelerated Asian energy demand on global mitigation costs is quite low. ► Accelerated Asian energy consumption increases GHG abatement costs in the OECD. ► 3.7 W/m 3 target is feasible in costs even with accelerated Asian energy demands. ► 2.6 W/m 2 target is beyond

  4. Development and Demonstration of the Open Automated Demand Response Standard for the Residential Sector

    Energy Technology Data Exchange (ETDEWEB)

    Herter, Karen; Rasin, Josh; Perry, Tim

    2009-11-30

    The goal of this study was to demonstrate a demand response system that can signal nearly every customer in all sectors through the integration of two widely available and non- proprietary communications technologies--Open Automated Demand Response (OpenADR) over lnternet protocol and Utility Messaging Channel (UMC) over FM radio. The outcomes of this project were as follows: (1) a software bridge to allow translation of pricing signals from OpenADR to UMC; and (2) a portable demonstration unit with an lnternet-connected notebook computer, a portfolio of DR-enabling technologies, and a model home. The demonstration unit provides visitors the opportunity to send electricity-pricing information over the lnternet (through OpenADR and UMC) and then watch as the model appliances and lighting respond to the signals. The integration of OpenADR and UMC completed and demonstrated in this study enables utilities to send hourly or sub-hourly electricity pricing information simultaneously to the residential, commercial and industrial sectors.

  5. Data-Driven Baseline Estimation of Residential Buildings for Demand Response

    Directory of Open Access Journals (Sweden)

    Saehong Park

    2015-09-01

    Full Text Available The advent of advanced metering infrastructure (AMI generates a large volume of data related with energy service. This paper exploits data mining approach for customer baseline load (CBL estimation in demand response (DR management. CBL plays a significant role in measurement and verification process, which quantifies the amount of demand reduction and authenticates the performance. The proposed data-driven baseline modeling is based on the unsupervised learning technique. Specifically we leverage both the self organizing map (SOM and K-means clustering for accurate estimation. This two-level approach efficiently reduces the large data set into representative weight vectors in SOM, and then these weight vectors are clustered by K-means clustering to find the load pattern that would be similar to the potential load pattern of the DR event day. To verify the proposed method, we conduct nationwide scale experiments where three major cities’ residential consumption is monitored by smart meters. Our evaluation compares the proposed solution with the various types of day matching techniques, showing that our approach outperforms the existing methods by up to a 68.5% lower error rate.

  6. Underlying energy demand trends in South Korean and Indonesian aggregate whole economy and residential sectors

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-01-15

    This paper used annual time series data over the period 1973-2008 to estimate energy demand functions for South Korea and Indonesian aggregated whole economy and Residential sectors. Furthermore, the underlying energy demand trend (UEDT), which may be non-linear and reflects not only technical progress, which usually produces greater energy efficiency, but also other factors such as changes in consumer tastes and the economic structure that may be working in the opposite direction, is also examined in the paper. In estimating the price and income elasticities, the study applies Harvey's structural time series approach where a stochastic trend is used as a proxy for UEDT. Empirical evidence from this study reveals that the estimated long-run income and price elasticities range from 0.58 to 1.15 and from -0.09 to -066, respectively. Furthermore the stochastic form for the UEDT is preferred for both countries and sectors, suggesting a wide variation in the exogenous effects of energy saving technical progress in addition to other pertinent exogenous factors such as economic structure, consumer preferences, and socio-economic influences. (author)

  7. Underlying energy demand trends in South Korean and Indonesian aggregate whole economy and residential sectors

    Energy Technology Data Exchange (ETDEWEB)

    Sa' ad, Suleiman, E-mail: suleimansaad@gmail.co [Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey, Guildford, Surrey GU2 7XH (United Kingdom)

    2011-01-15

    This paper used annual time series data over the period 1973-2008 to estimate energy demand functions for South Korea and Indonesian aggregated whole economy and Residential sectors. Furthermore, the underlying energy demand trend (UEDT), which may be non-linear and reflects not only technical progress, which usually produces greater energy efficiency, but also other factors such as changes in consumer tastes and the economic structure that may be working in the opposite direction, is also examined in the paper. In estimating the price and income elasticities, the study applies Harvey's structural time series approach where a stochastic trend is used as a proxy for UEDT. Empirical evidence from this study reveals that the estimated long-run income and price elasticities range from 0.58 to 1.15 and from -0.09 to -066, respectively. Furthermore the stochastic form for the UEDT is preferred for both countries and sectors, suggesting a wide variation in the exogenous effects of energy saving technical progress in addition to other pertinent exogenous factors such as economic structure, consumer preferences, and socio-economic influences.

  8. Underlying energy demand trends in South Korean and Indonesian aggregate whole economy and residential sectors

    International Nuclear Information System (INIS)

    Sa'ad, Suleiman

    2011-01-01

    This paper used annual time series data over the period 1973-2008 to estimate energy demand functions for South Korea and Indonesian aggregated whole economy and Residential sectors. Furthermore, the underlying energy demand trend (UEDT), which may be non-linear and reflects not only technical progress, which usually produces greater energy efficiency, but also other factors such as changes in consumer tastes and the economic structure that may be working in the opposite direction, is also examined in the paper. In estimating the price and income elasticities, the study applies Harvey's structural time series approach where a stochastic trend is used as a proxy for UEDT. Empirical evidence from this study reveals that the estimated long-run income and price elasticities range from 0.58 to 1.15 and from -0.09 to -066, respectively. Furthermore the stochastic form for the UEDT is preferred for both countries and sectors, suggesting a wide variation in the exogenous effects of energy saving technical progress in addition to other pertinent exogenous factors such as economic structure, consumer preferences, and socio-economic influences. (author)

  9. Hybrid LSA-ANN Based Home Energy Management Scheduling Controller for Residential Demand Response Strategy

    Directory of Open Access Journals (Sweden)

    Maytham S. Ahmed

    2016-09-01

    Full Text Available Demand response (DR program can shift peak time load to off-peak time, thereby reducing greenhouse gas emissions and allowing energy conservation. In this study, the home energy management scheduling controller of the residential DR strategy is proposed using the hybrid lightning search algorithm (LSA-based artificial neural network (ANN to predict the optimal ON/OFF status for home appliances. Consequently, the scheduled operation of several appliances is improved in terms of cost savings. In the proposed approach, a set of the most common residential appliances are modeled, and their activation is controlled by the hybrid LSA-ANN based home energy management scheduling controller. Four appliances, namely, air conditioner, water heater, refrigerator, and washing machine (WM, are developed by Matlab/Simulink according to customer preferences and priority of appliances. The ANN controller has to be tuned properly using suitable learning rate value and number of nodes in the hidden layers to schedule the appliances optimally. Given that finding proper ANN tuning parameters is difficult, the LSA optimization is hybridized with ANN to improve the ANN performances by selecting the optimum values of neurons in each hidden layer and learning rate. Therefore, the ON/OFF estimation accuracy by ANN can be improved. Results of the hybrid LSA-ANN are compared with those of hybrid particle swarm optimization (PSO based ANN to validate the developed algorithm. Results show that the hybrid LSA-ANN outperforms the hybrid PSO based ANN. The proposed scheduling algorithm can significantly reduce the peak-hour energy consumption during the DR event by up to 9.7138% considering four appliances per 7-h period.

  10. Demand for natural gas: residential and commercial markets in Ontario and British Columbia. [Econometric-model analysis

    Energy Technology Data Exchange (ETDEWEB)

    Berndt, E R [Univ. of British Columbia, Vancouver; Watkins, G C

    1977-02-01

    An econometric model is used to project natural gas demand in the residential and commercial market sectors. The model specification is a generalization of one developed by Balestra and Nerlove (Econometrica, 34: 585-612(1966)). Demand that is potentially variable because it is not committed to past investments (flexibe demand) is distinguished from demand that is inflexible because it is tied to existing equipment stocks (captive demand). Attention is focused on the effect of temperature variations on gas demand. The nonlinear equation system is estimated by a maximum-likelihood method, using annual data for British Columbia and Ontario during the period of 1959 to 1974. Results show that only in the long run does price have a significant impact on demand. The model is applicable for medium-term policy simulation, but is limited to natural gas fuel. 15 references.

  11. Energy demand with the flexible double-logarithmic functional form

    International Nuclear Information System (INIS)

    Nan, G.D.; Murry, D.A.

    1992-01-01

    A flexible double-logarithmic function form is developed to meet assumptions of consumer behavior. Then annual residential and commercial data (1970-87) are applied to this functional form to examine demand for petroleum products, electricity, and natural gas in California. The traditional double log-linear functional form has shortcomings of constant elasticities. The regression equations in this study, with varied estimated elasticities, overcome some of these shortcomings. All short-run own-price elasticities are inelastic and all income elasticities are close to unity in this study. According to the short-run time-trend elasticities, consumers' fuel preference in California is electricity. The long-run income elasticities also indicate that the residential consumers will consume more electricity and natural gas as their energy budgets increase in the long run. 14 refs., 5 tabs

  12. 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

  13. 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

  14. Optimal behavior of responsive residential demand considering hybrid phase change materials

    International Nuclear Information System (INIS)

    Shafie-khah, M.; Kheradmand, M.; Javadi, S.; Azenha, M.; Aguiar, J.L.B. de; Castro-Gomes, J.; Siano, P.; Catalão, J.P.S.

    2016-01-01

    Highlights: • An operational model of HEM system incorporating with a hybrid PCM is proposed in this paper. • Incorporation of hybrid PCM mortar had a complementary effect on the proposed HEM system. • The proposed model ensures the technical and economic limits of batteries and electrical appliances. • The customer’s electricity cost can be reduced up to 48% by utilizing the proposed model. - Abstract: Due to communication and technology developments, residential consumers are enabled to participate in Demand Response Programs (DRPs), control their consumption and decrease their cost by using Household Energy Management (HEM) systems. On the other hand, capability of energy storage systems to improve the energy efficiency causes that employing Phase Change Materials (PCM) as thermal storage systems to be widely addressed in the building applications. In this paper, an operational model of HEM system considering the incorporation of more than one type of PCM in plastering mortars (hybrid PCM) is proposed not only to minimize the customer’s cost in different DRPs but also to guaranty the habitants’ satisfaction. Moreover, the proposed model ensures the technical and economic limits of batteries and electrical appliances. Different case studies indicate that implementation of hybrid PCM in the buildings can meaningfully affect the operational pattern of HEM systems in different DRPs. The results reveal that the customer’s electricity cost can be reduced up to 48% by utilizing the proposed model.

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

    Directory of Open Access Journals (Sweden)

    Fei Wang

    2018-03-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1998-04-01

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

  17. Heating and cooling energy demand and related emissions of the German residential building stock under climate change

    International Nuclear Information System (INIS)

    Olonscheck, Mady; Holsten, Anne; Kropp, Juergen P.

    2011-01-01

    The housing sector is a major consumer of energy. Studies on the future energy demand under climate change which also take into account future changes of the building stock, renovation measures and heating systems are still lacking. We provide the first analysis of the combined effect of these four influencing factors on the future energy demand for room conditioning of residential buildings and resulting greenhouse gas (GHG) emissions in Germany until 2060. We show that the heating energy demand will decrease substantially in the future. This shift will mainly depend on the number of renovated buildings and climate change scenarios and only slightly on demographic changes. The future cooling energy demand will remain low in the future unless the amount of air conditioners strongly increases. As a strong change in the German energy mix is not expected, the future GHG emissions caused by heating will mainly depend on the energy demand for future heating. - Highlights: → The future heating energy demand of German residential buildings strongly decreases. → Extent of these changes mainly depends on the number of renovated buildings. → Demographic changes will only play a minor role. → Cooling energy demand will remain low in future but with large insecurities. → Germany's 2050 emission targets for the building stock are ambitious.

  18. 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

  19. Long- and Short-Run Components of Factor Betas: Implications for Equity Pricing

    DEFF Research Database (Denmark)

    Asgharian, Hossein; Christiansen, Charlotte; Hou, Ai Jun

    We suggest a bivariate component GARCH model that simultaneously obtains factor betas’ long- and short-run components. We apply this new model to industry portfolios using market, small-minus-big, and high-minus-low portfolios as risk factors and find that the cross-sectional average and dispersion...... of the betas’ short-run component increase in bad states of the economy. Our analysis of the risk premium highlights the importance of decomposing risk across horizons: The risk premium associated with the short-run market beta is significantly positive. This is robust to the portfolio-set choice....

  20. 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.

  1. Willingness-to-pay for steelhead trout fishing: Implications of two-step consumer decisions with short-run endowments

    Science.gov (United States)

    McKean, John R.; Johnson, Donn; Taylor, R. Garth

    2010-09-01

    Choice of the appropriate model of economic behavior is important for the measurement of nonmarket demand and benefits. Several travel cost demand model specifications are currently in use. Uncertainty exists over the efficacy of these approaches, and more theoretical and empirical study is warranted. Thus travel cost models with differing assumptions about labor markets and consumer behavior were applied to estimate the demand for steelhead trout sportfishing on an unimpounded reach of the Snake River near Lewiston, Idaho. We introduce a modified two-step decision model that incorporates endogenous time value using a latent index variable approach. The focus is on the importance of distinguishing between short-run and long-run consumer decision variables in a consistent manner. A modified Barnett two-step decision model was found superior to other models tested.

  2. Modeling global residential sector energy demand for heating and air conditioning in the context of climate change

    International Nuclear Information System (INIS)

    Isaac, Morna; Vuuren, Detlef P. van

    2009-01-01

    In this article, we assess the potential development of energy use for future residential heating and air conditioning in the context of climate change. In a reference scenario, global energy demand for heating is projected to increase until 2030 and then stabilize. In contrast, energy demand for air conditioning is projected to increase rapidly over the whole 2000-2100 period, mostly driven by income growth. The associated CO 2 emissions for both heating and cooling increase from 0.8 Gt C in 2000 to 2.2 Gt C in 2100, i.e. about 12% of total CO 2 emissions from energy use (the strongest increase occurs in Asia). The net effect of climate change on global energy use and emissions is relatively small as decreases in heating are compensated for by increases in cooling. However, impacts on heating and cooling individually are considerable in this scenario, with heating energy demand decreased by 34% worldwide by 2100 as a result of climate change, and air-conditioning energy demand increased by 72%. At the regional scale considerable impacts can be seen, particularly in South Asia, where energy demand for residential air conditioning could increase by around 50% due to climate change, compared with the situation without climate change

  3. Micro-generation dispatch in a smart residential multi-carrier energy system considering demand forecast error

    International Nuclear Information System (INIS)

    Sanjari, M.J.; Karami, H.; Gooi, H.B.

    2016-01-01

    Highlights: • Combination of day-ahead and hour-ahead optimizations to design online controller. • Investigating the effect of load forecast error on the system operating cost. • Proposing effective method for hour-ahead resource re-dispatch. • Using the HSS algorithm as a powerful and effective optimization method. • Combining long-term and short-term strategies for optimal dispatch of resources. - Abstract: This paper deals with a residential hybrid thermal/electrical grid-connected home energy system incorporating real data for the load demand. A day-ahead scheduling (DAS) algorithm for dispatching different resources has been developed in previous studies to determine the optimal operation scheduling for the distributed energy resources at each time interval so that the operational cost of a smart house is minimized. However, demand of houses may be changed in each hour and cannot be exactly predicted one day ahead. System complexity caused by nonlinear dynamics of the fuel cell, as a combined heat and power device, and battery charging and discharging time make it difficult to find the optimal operating point of the system by using the optimization algorithms quickly in online applications. In this paper, the demand forecast error is studied and a near-optimal dispatch strategy by using artificial neural network (ANN) is proposed for the residential energy system when the demand changes are known one hour ahead with respect to the predicted day-ahead values. The day-ahead and hour-ahead optimizations are combined and ANN training inputs are adjusted according to the problem such that the economic dispatch of different energy resources can be achieved by the proposed method compared with previous studies. Using the model of the fuel cell extracted from experimental measurement and real data for the load demand makes the results more applicable in real residential energy systems.

  4. Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand

    OpenAIRE

    McKenna, E.; Higginson, S.; Grunewald, P.; Darby, S. J.

    2017-01-01

    Demand response is receiving increasing interest as a new form of flexibility within low-carbon power systems. Energy models are an important tool to assess the potential capability of demand side contributions. This paper critically reviews the assumptions in current models and introduces a new conceptual framework to better facilitate such an assessment. We propose three dimensions along which change could occur, namely technology, activities and service expectations. Using this framework, ...

  5. A demand response modeling for residential consumers in smart grid environment using game theory based energy scheduling algorithm

    Directory of Open Access Journals (Sweden)

    S. Sofana Reka

    2016-06-01

    Full Text Available In this paper, demand response modeling scheme is proposed for residential consumers using game theory algorithm as Generalized Tit for Tat (GTFT Dominant Game based Energy Scheduler. The methodology is established as a work flow domain model between the utility and the user considering the smart grid framework. It exhibits an algorithm which schedules load usage by creating several possible tariffs for consumers such that demand is never raised. This can be done both individually and among multiple users of a community. The uniqueness behind the demand response proposed is that, the tariff is calculated for all hours and the load during the peak hours which can be rescheduled is shifted based on the Peak Average Ratio. To enable the vitality of the work simulation results of a general case of three domestic consumers are modeled extended to a comparative performance and evaluation with other algorithms and inference is analyzed.

  6. Natural gas demand in the European household sector

    International Nuclear Information System (INIS)

    Nilsen, Odd Bjarte; Asche, Frank; Tveteras, Ragnar

    2005-08-01

    This paper analyzes the residential natural gas demand per capita in 12 European countries using a dynamic log linear demand model, which allows for country-specific elasticity estimates in the short- and long-run. The explanatory variables included lagged demand per capita, heating degree days index, real prices of natural gas, light fuel oil, electricity, and real private income per capita. The short-run own-price and income elasticity tend to be very inelastic, but with greater long-run responsiveness. By splitting the data set in two time periods, an increase in the own-price elasticities were detected for the European residential natural gas demand market as a whole. We have provided support for employing a heterogeneous estimator such as the shrinkage estimator. But the empirical results also motivate a further scrutiny of its properties. (Author)

  7. Hierarchical predictive control scheme for distributed energy storage integrated with residential demand and photovoltaic generation

    NARCIS (Netherlands)

    Lampropoulos, I.; Garoufalis, P.; van den Bosch, P.P.J.; Kling, W.L.

    2015-01-01

    A hierarchical control scheme is defined for the energy management of a battery energy storage system which is integrated in a low-voltage distribution grid with residential customers and photovoltaic installations. The scope is the economic optimisation of the integrated system by employing

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

    International Nuclear Information System (INIS)

    2006-01-01

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

  9. Optimized Energy Management of a Single-House Residential Micro-Grid With Automated Demand Response

    DEFF Research Database (Denmark)

    Anvari-Moghaddam, Amjad; Monsef, Hassan; Rahimi-Kian, Ashkan

    2015-01-01

    In this paper, an intelligent multi-objective energy management system (MOEMS) is proposed for applications in residential LVAC micro-grids where households are equipped with smart appliances, such as washing machine, dishwasher, tumble dryer and electric heating and they have the capability...

  10. Uncertainty analysis of daily potable water demand on the performance evaluation of rainwater harvesting systems in residential buildings.

    Science.gov (United States)

    Silva, Arthur Santos; Ghisi, Enedir

    2016-09-15

    The objective of this paper is to perform a sensitivity analysis of design variables and an uncertainty analysis of daily potable water demand to evaluate the performance of rainwater harvesting systems in residential buildings. Eight cities in Brazil with different rainfall patterns were analysed. A numeric experiment was performed by means of computer simulation of rainwater harvesting. A sensitivity analysis was performed using variance-based indices for identifying the most important design parameters for rainwater harvesting systems when assessing the potential for potable water savings and underground tank capacity sizing. The uncertainty analysis was performed for different scenarios of potable water demand with stochastic variations in a normal distribution with different coefficients of variation throughout the simulated period. The results have shown that different design variables, such as potable water demand, number of occupants, rainwater demand, and roof area are important for obtaining the ideal underground tank capacity and estimating the potential for potable water savings. The stochastic variations on the potable water demand caused amplitudes of up to 4.8% on the potential for potable water savings and 9.4% on the ideal underground tank capacity. Average amplitudes were quite low for all cities. However, some combinations of parameters resulted in large amplitude of uncertainty and difference from uniform distribution for tank capacities and potential for potable water savings. Stochastic potable water demand generated low uncertainties in the performance evaluation of rainwater harvesting systems; therefore, uniform distribution could be used in computer simulation. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand

    Directory of Open Access Journals (Sweden)

    Baodeng Hou

    2018-05-01

    Full Text Available Although the quantity of household water consumption does not account for a huge proportion of the total water consumption amidst socioeconomic development, there has been a steadily increasing trend due to population growth and improved urbanization standards. As such, mastering the mechanisms of household water demand, scientifically predicting trends of household water demand, and implementing reasonable control measures are key focuses of current urban water management. Based on the categorization and characteristic analysis of household water, this paper used Maslow’s Hierarchy of Needs to establish a level and grade theory of household water demand, whereby household water is classified into three levels (rigid water demand, flexible water demand, and luxury water demand and three grades (basic water demand, reasonable water demand, and representational water demand. An in-depth analysis was then carried out on the factors that influence the computation of household water demand, whereby equations for different household water categories were established, and computations for different levels of household water were proposed. Finally, observational experiments on household water consumption were designed, and observation and simulation computations were performed on three typical households in order to verify the scientific outcome and rationality of the computation of household water demand. The research findings contribute to the enhancement and development of prediction theories on water demand, and they are of high theoretical and realistic significance in terms of scientifically predicting future household water demand and fine-tuning the management of urban water resources.

  12. 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

  13. Short-run Economic Assessment of the Transportation Recovery Policy After an Earthquake

    Directory of Open Access Journals (Sweden)

    Koike Atsushi

    2017-01-01

    Full Text Available This paper develops a short-run economic damage assessment model. The model contains two sub models. One is the conventional traffic assignment model, which calculates traveling time under the damaged transportation infrastructure. The other is the economic damage assessment model, which determines the decrease in production level in the short run. This method facilitates the identification of critical infrastructure that could reduce the economic damage when the disaster occurs. As a case study, we applied this model to several recovery plans for transport facilities. The results suggest that the proposed comprehensive model should be considered as a prevention plan.

  14. User-Preference-Driven Model Predictive Control of Residential Building Loads and Battery Storage for Demand Response: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Jin, Xin [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Baker, Kyri A. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Christensen, Dane T. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Isley, Steven C. [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-08-21

    This paper presents a user-preference-driven home energy management system (HEMS) for demand response (DR) with residential building loads and battery storage. The HEMS is based on a multi-objective model predictive control algorithm, where the objectives include energy cost, thermal comfort, and carbon emission. A multi-criterion decision making method originating from social science is used to quickly determine user preferences based on a brief survey and derive the weights of different objectives used in the optimization process. Besides the residential appliances used in the traditional DR programs, a home battery system is integrated into the HEMS to improve the flexibility and reliability of the DR resources. Simulation studies have been performed on field data from a residential building stock data set. Appliance models and usage patterns were learned from the data to predict the DR resource availability. Results indicate the HEMS was able to provide a significant amount of load reduction with less than 20% prediction error in both heating and cooling cases.

  15. Review of barriers to the introduction of residential demand response : A case study in the Netherlands

    NARCIS (Netherlands)

    Weck, M. H J; van Hooff, J.; van Sark, W. G J H M

    Demand response, defined as the shifting of electricity demand, is generally believed to have value both for the grid and for the market: by matching demand more closely to supply, consumers could profit from lower prices, while in a smart grid environment, more renewable electricity can be used and

  16. Non-residential water demand model validated with extensive measurements and surveys

    NARCIS (Netherlands)

    Pieterse-Quirijns, I.; Blokker, E.J.M.; van der Blom, E.C.; Vreeburg, J.H.G.

    2013-01-01

    Existing Dutch guidelines for the design of the drinking water and hot water system of nonresidential buildings are based on outdated assumptions on peak water demand or on unfounded assumptions on hot water demand. They generally overestimate peak demand values required for the design of an

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

    Science.gov (United States)

    Hu, Yu-Chen

    2018-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Yu-Hsiu Lin

    2018-04-01

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

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

    Science.gov (United States)

    Lin, Yu-Hsiu; Hu, Yu-Chen

    2018-04-27

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

  20. Application of an almost ideal demand system (AIDS) to Ethiopian rural residential energy use: Panel data evidence

    International Nuclear Information System (INIS)

    Guta, Dawit Diriba

    2012-01-01

    It is well known that poor rural households in low-income economies are reliant on traditional fuels to meet basic domestic energy needs, but little is known about the specific underlying socio-economic drivers of residential fuel choices in Ethiopia. I used the linear approximation almost ideal demand system (LAAIDS) with normalized prices to compute expenditure elasticity and a multinomial logit model (MLM) to examine household fuel use. The LAAIDS model result showed that expenditure was elastic for modern fuels, but inelastic for traditional fuels. Regression results from the MLM indicated that fuel choice behaviour of rural households could be more accurately described as ‘fuel stacking’ behaviour as opposed to the ‘energy ladder’ hypothesis. In rural areas household fuel choice may be constrained by limited access to commercial fuels and efficient cook stoves, supply dependency and affordability, consumer preferences and a web of other intricate factors. Rural households had less incentive for fuel switching due to underlying factors and the availability of fuel wood without direct financial cost. With continued deforestation and receding forests, households are expected to develop inter fuel substitution and switching behaviour conditional on access to modern energy technologies. - Highlights: ► Two step LAAIDS model and MLM were applied to analysis of residential fuel use. ► I examined issues of ‘energy ladder’ versus ‘fuel stacking’ behavior of households. ► Controlling other factors increase in welfare increases demand for modern fuel. ► Traditional fuels are income inelastic but not necessarily cheaper. ► Residential fuel choice is determined by intricate web of socio-economic factors.

  1. The pricing of long and short run variance and correlation risk in stock returns

    NARCIS (Netherlands)

    Cosemans, M.

    2011-01-01

    This paper studies the pricing of long and short run variance and correlation risk. The predictive power of the market variance risk premium for returns is driven by the correlation risk premium and the systematic part of individual variance premia. Furthermore, I find that aggregate volatility risk

  2. Quantifying short run cost-effectiveness during a gradual implementation process

    NARCIS (Netherlands)

    Wetering, G. van de; Woertman, W.H.; Verbeek, A.L.M.; Broeders, M.J.M.; Adang, E.M.M.

    2013-01-01

    This paper examines the short run inefficiencies that arise during gradual implementation of a new cost-effective technology in healthcare. These inefficiencies arise when health gains associated with the new technology cannot be obtained immediately because the new technology does not yet supply

  3. 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

  4. Household Water Demand in Andorra: Impact of Individual Metering and Seasonality

    Directory of Open Access Journals (Sweden)

    Arnaud Reynaud

    2018-03-01

    Full Text Available Despite the large literature focused on residential water use, our knowledge of the impact of individual metering on household water consumption remains limited. Our work aims to fill this gap by providing the first estimate of the residential water demand function in the Principality of Andorra, where collective and individual metering coexists. Using a panel dataset covering the years 2006 to 2015, we propose estimating a domestic water demand function for the municipality of Andorra La Vella (the capital of Andorra. Our estimates reveal a price elasticity of the residential water demand equal to –0.7. Facing a price increase of 10 percent, households will react in the short run by reducing their water consumption by 7 percent. Interestingly, the price elasticity is found to be significantly different in single-family units compared to multi-family units. This may suggest a significant impact of individual metering on domestic water consumption in Andorra.

  5. Control strategies and cycling demands for Li-ion storage batteries in residential micro-cogeneration systems

    International Nuclear Information System (INIS)

    Darcovich, K.; Kenney, B.; MacNeil, D.D.; Armstrong, M.M.

    2015-01-01

    Highlights: • Canadian home energy system modeled with PV, ICE CHP, battery and power grid. • Battery function is modeled on fundamental electrochemical principles. • Techno-economics of control strategies assessed. • Impact of control strategies battery cycles is developed for wear analysis. • Non-monotonic nature of battery cycles with transient renewables is discussed. - Abstract: Energy storage units have become important components in residential micro-cogeneration (MCG) systems. As MCG systems are often connected to single residences or buildings in a wide variety of settings, they are frequently unique and highly customized. Lithium-ion batteries have recently gained some profile as energy storage units of choice, because of their good capacity, high efficiency, robustness and ability to meet the demands of typical residential electrical loads. In the present work, modeled scenarios are explored which examine the performance of a MCG system with an internal combustion engine, photovoltaic input and a Li-ion storage battery. An electricity demand profile from new data collected in Ottawa, Canada is used to provide a full year energy use context for the analyses. The demands placed on the battery are examined to assess the suitability of the battery size and performance, as well as control related functionalities which reveal significantly varying battery use, and led to a quantitative expression for equivalent cycles. The energy use simulations are derived from electrochemical fundamentals adapted for a larger battery pack. Simulation output provides the basis for techno-economic commentary on how to assess large-scale Li-ion batteries for effective electrical storage purposes in MCG systems, and the impact of the nature of the control strategy on the battery service life

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

    International Nuclear Information System (INIS)

    Sun, Chuanwang; Ouyang, Xiaoling

    2016-01-01

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

  7. 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.

  8. Longrun supply and demand of new residential construction in the United States: 1986 to 2040.

    Science.gov (United States)

    Claire A. Montgomery

    1989-01-01

    A model of U.S. housing demand and supply was developed that projects housing starts for use in long-term forest planning. Housing demand was shown to respond to the current sale price and the user capital cost of housing and to the size and age composition of the population. Current sale price is determined in the new construction market. Supply of new construction...

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

    International Nuclear Information System (INIS)

    Fouquet, Roger

    1995-01-01

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

  10. An inexact two-stage stochastic robust programming for residential micro-grid management-based on random demand

    International Nuclear Information System (INIS)

    Ji, L.; Niu, D.X.; Huang, G.H.

    2014-01-01

    In this paper a stochastic robust optimization problem of residential micro-grid energy management is presented. Combined cooling, heating and electricity technology (CCHP) is introduced to satisfy various energy demands. Two-stage programming is utilized to find the optimal installed capacity investment and operation control of CCHP (combined cooling heating and power). Moreover, interval programming and robust stochastic optimization methods are exploited to gain interval robust solutions under different robustness levels which are feasible for uncertain data. The obtained results can help micro-grid managers minimizing the investment and operation cost with lower system failure risk when facing fluctuant energy market and uncertain technology parameters. The different robustness levels reflect the risk preference of micro-grid manager. The proposed approach is applied to residential area energy management in North China. Detailed computational results under different robustness level are presented and analyzed for providing investment decision and operation strategies. - Highlights: • An inexact two-stage stochastic robust programming model for CCHP management. • The energy market and technical parameters uncertainties were considered. • Investment decision, operation cost, and system safety were analyzed. • Uncertainties expressed as discrete intervals and probability distributions

  11. The effects of residential real-time pricing contracts on transco loads, pricing, and profitability: Simulations using the N-ABLE trademark agent-based model

    International Nuclear Information System (INIS)

    Ehlen, Mark A.; Scholand, Andrew J.; Stamber, Kevin L.

    2007-01-01

    An agent-based model is constructed in which a demand aggregator sells both uniform-price and real-time price (RTP) contracts to households as means for adding price elasticity in residential power use sectors, particularly during peak-price hours of the day. Simulations suggest that RTP contracts help a demand aggregator (1) shift its long-term contracts toward off-peak hours, thereby reducing its cost of power and (2) increase its short-run profits if it is one of the first aggregators to have large numbers of RTP contracts; but (3) create susceptibilities to short-term market demand and price volatilities. (author)

  12. Forecasting short-run crude oil price using high- and low-inventory variables

    International Nuclear Information System (INIS)

    Ye, Michael; Zyren, John; Shore, Joanne

    2006-01-01

    Since inventories have a lower bound or a minimum operating level, economic literature suggests a nonlinear relationship between inventory level and commodity prices. This was found to be the case in the short-run crude oil market. In order to explore this inventory-price relationship, two nonlinear inventory variables are defined and derived from the monthly normal level and relative level of OECD crude oil inventories from post 1991 Gulf War to October 2003: one for the low inventory state and another for the high inventory state of the crude oil market. Incorporation of low- and high-inventory variables in a single equation model to forecast short-run WTI crude oil prices enhances the model fit and forecast ability

  13. Flexibility dynamics in clusters of residential demand response and distributed generation

    NARCIS (Netherlands)

    MacDougall, P.A.; Kok, J.K.; Warmer, C.; Roossien, B.

    2013-01-01

    Supply and demand response is a untapped resource in the current electrical system. However little work has been done to investigate the dynamics of utilizing such flexibility as well as the potential effects it could have on the infrastructure. This paper provides a starting point to seeing the

  14. Technical Resource Potential of Non-disruptive Residential Demand Response in Denmark

    DEFF Research Database (Denmark)

    Mathieu, Johanna; Rasmussen, Theis Bo; Sørensen, Mads

    2014-01-01

    Denmark has one of the most aggressive renewable energy strategies in the world; however, large penetrations of fluctuating renewable energy resources will pose new problems in the Danish power system. Demand response (DR) has the potential to mitigate these problems by providing a new source...

  15. Feasibility and potential of thermal demand side management in residential buildings considering different developments in the German energy market

    International Nuclear Information System (INIS)

    Wolisz, Henryk; Punkenburg, Carl; Streblow, Rita; Müller, Dirk

    2016-01-01

    Highlights: • A scenario analysis for the German energy market in the year 2030 is performed. • Growing demand for flexible electric capacities is identified in all scenarios. • Significant potential for domestic demand side management is identified. • A distinct potential for dynamic operation of domestic supply systems is found. • The necessity for a quick introduction of smart metering and control is found. - Abstract: A transition in the electricity market is required to manage the volatility of increasing renewable energy generation. These fluctuations can be faced with flexible consumption through Demand Side Management (DSM), establishment of further centralized storage capacities and provisioning of dynamic back up generation capacities. At least the latter two options can impose large establishment and operation costs upon the electricity market. Therefore, the feasibility and the resulting potential of coupling the electricity grid with the thermal supply of residential buildings is analysed in this paper. Thereby, inexpensive and widespread thermal storage capacities could be used to improve the integration of dynamic renewable electricity generation. In this paper the technical and economical key impact factors for such thermal DSM approach are elaborated. Based on a literature review, the identified key factors are aggregated to form consistent scenarios of the German “Energiewende” (turnaround in energy policy). The practicability and possible magnitude of the intended DSM is then analysed based on the identified scenarios. All resulting scenarios highlight the growing demand for a flexible electricity market. Especially in scenarios with strong growth of renewable electricity generation, up to 45 GW of flexible electric capacities would be required in Germany by the year 2030. Furthermore, the analysis demonstrates that independently of the energy market development, it is very likely that electricity coupled supply systems will

  16. Warm homes: Drivers of the demand for heating in the residential sector in New Zealand

    International Nuclear Information System (INIS)

    Howden-Chapman, Philippa; Viggers, Helen; Chapman, Ralph; O'Dea, Des; Free, Sarah; O'Sullivan, Kimberley

    2009-01-01

    New Zealand houses are large, often poorly constructed and heated, by OECD standards, and consequently are colder and damper indoors than recommended by the World Health Organisation. This affects both the energy consumption and the health of households. The traditional New Zealand household pattern of only heating one room of the house has been unchanged for decades, although there has been substantial market penetration of unflued gas heaters and more recently heat pumps. This paper describes the residential sector and the results of two community-based trials of housing and heating interventions that have been designed to measure the impact of (1) retrofitting insulation and (2) replacing unflued gas heaters and electric resistance heaters with heat pumps, wood pellet burners and flued gas heaters. The paper describes findings on the rebound effect or 'take-back'-the extent to which households take the gains from insulation and heating improvements as comfort (higher temperatures) rather than energy savings, and compares energy-saving patterns with those suggested by an earlier study. Findings on these aspects of household space heating are discussed in the context of the New Zealand government's policy drive for a more sustainable energy system, and the implications for climate change policy.

  17. Job-Demands, Job Control, Social Support, Self-Efficacy, and Burnout of Staff of Residential Children's Homes

    Science.gov (United States)

    Brouwers, André; Tomic, Welko

    2016-01-01

    The aim of the current study was to examine among educational staff members of residential children's homes to what extent task demands, job control, emotional and social support from colleagues and management as well as self-efficacy beliefs concerning coping with aggressive behaviour in youngsters are associated with emotional exhaustion,…

  18. articles: The implementation of marginal external cost pricing in road transport Long run vs short run and first-best vs second-best

    OpenAIRE

    Erik T. Verhoef

    2000-01-01

    This article discusses a number of issues that will become increasingly important now that the concept of marginal external cost pricing becomes more likely to be implemented as a policy strategy in transport in reality. The first part of the article deals with the long-run efficiency of marginal external cost pricing. It is shown that such prices not only optimize short-run mobility, given the shape and position of the relevant demand and cost curves, but even more importantly, also optimall...

  19. 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

  20. Option Valuation with Long-run and Short-run Volatility Components

    DEFF Research Database (Denmark)

    Christoffersen, Peter; Jacobs, Kris; Ornthanalai, Chayawat

    This paper presents a new model for the valuation of European options, in which the volatility of returns consists of two components. One of these components is a long-run component, and it can be modeled as fully persistent. The other component is short-run and has a zero mean. Our model can...... be viewed as an affine version of Engle and Lee (1999), allowing for easy valuation of European options. The model substantially outperforms a benchmark single-component volatility model that is well-established in the literature, and it fits options better than a model that combines conditional...... model long-maturity and short-maturity options....

  1. Short-run and long-run dynamics of farm land allocation

    DEFF Research Database (Denmark)

    Arnberg, Søren; Hansen, Lars Gårn

    2012-01-01

    This study develops and estimates a dynamic multi-output model of farmers’ land allocation decisions that allows for the gradual adjustment of allocations that can result from crop rotation practices and quasi-fixed capital constraints. Estimation is based on micro-panel data from Danish farmers...... that include acreage, output, and variable input utilization at the crop level. Results indicate that there are substantial differences between the short-run and long-run land allocation behaviour of Danish farmers and that there are substantial differences in the time lags associated with different crops...

  2. Electricity prices and fuel costs. Long-run relations and short-run dynamics

    International Nuclear Information System (INIS)

    Mohammadi, Hassan

    2009-01-01

    The paper examines the long-run relation and short-run dynamics between electricity prices and three fossil fuel prices - coal, natural gas and crude oil - using annual data for the U.S. for 1960-2007. The results suggest (1) a stable long-run relation between real prices for electricity and coal (2) Bi-directional long-run causality between coal and electricity prices. (3) Insignificant long-run relations between electricity and crude oil and/or natural gas prices. And (4) no evidence of asymmetries in the adjustment of electricity prices to deviations from equilibrium. A number of implications are addressed. (author)

  3. The long and short run forcing variables of purchasing power parity of ASEAN-5

    OpenAIRE

    Abdalrahman AbuDalu; Elsadig Musa Ahmed

    2013-01-01

    This study examines the long-run and short-run forcing variables of purchasing power parity (PPP) for ASEAN-5 currencies vis-a-vis the U.S. dollar, i.e., their real effective exchange rate (REER). This study uses the autoregressive distributed lag (ARDL) approach to co-integration over the period 1991:Q1 – 2006:Q2. Our empirical results suggest that the domestic money supply (M1) is a significant long run forcing variable for the REERs of Malaysia, Indonesia, the Philippines, and Singapore. H...

  4. Residential Water Demand in a Mexican Biosphere Reserve: Evidence of the Effects of Perceived Price

    Directory of Open Access Journals (Sweden)

    Marco Antonio Almendarez-Hernández

    2016-09-01

    Full Text Available The purpose of this paper is to provide empirical evidence for policy-makers of water management, evaluate the applicability of economic variables such as price and other factors that affect demand, and determine the impact thereof on decision-making surrounding water management in the El Vizcaino Biosphere Reserve in Mexico. We estimated a dynamic function with an average price specification, as well as price perception specification. Findings demonstrated that consumers tend to react to perceived average price but not to the marginal price. Furthermore, long-term price elasticity was found to be higher than short-term elasticity, and both elasticities were found to be inelastic. Inelastic elasticities, coupled with rising prices, generate substantial revenues with which to improve water planning and supply quality and to expand service coverage. The results suggest that users’ level of knowledge surrounding price is a key factor to take into account when restructuring rates, especially in situations where consumers do not readily possess the necessary information about their rate structure and usage within a given billing period. Furthermore, the results can help water management policy-makers to achieve goals of economic efficiency, social equity, and environmental sustainability.

  5. Voluntary Management of Residential Water Demand in Low and Middle-Low Income Households: Case Study of Soacha (colombia)

    Science.gov (United States)

    Acosta, R.; Rodriguez, J. P.

    2016-12-01

    Water resources availability is a global concern due to increasing demands, decreasing quality and uncertain spatio-temporal variability (United Nations, 2009). In urban contexts research on efficient water use is a priority to cope with the future vulnerability of water supplies as a result of the impacts of climate change (Bates et al, 2008). Following the proposed methodologies of He and Kua (2013) for implementing programs to promote sustainable energy consumption, we focused on the use of educational strategies to promote a voluntary rationalization of residential water demand. We collaborated with three schools in Soacha (Colombia) where students ranging from 12 to 15 years participated in the project as promoters of educational campaigns inside their families, covering 120 low and middle-low income households. Three intervention or treatment strategies (i.e. e-learning, in-person active learning activities and graphical learning tools) were carried out over a period of 5 months. We analyzed the effects of the treatments strategies in reducing water consumption rates and the dependence of this variable on socio-demographic, economic, environmental, and life quality factors by using personal interviews and self reported water saving technics. The results showed that educational campaigns have a positive effect on reducing consumption in the households. Graphical learning tools accounted for the highest reduction in water consumption. Moreover, the results of the study suggests that socio-economic factors such as type of house, social level, income, and life quality variables significantly affect the variability in water consumption, which is an important fact to consider in similar cases where communities face difficult socio-economic conditions, displacement or high rates of urban growth.

  6. Impact of Demand-Side Management on Thermal Comfort and Energy Costs in a Residential nZEB

    Directory of Open Access Journals (Sweden)

    Thibault Q. Péan

    2017-05-01

    Full Text Available In this study, simulation work has been carried out to investigate the impact of a demand-side management control strategy in a residential nZEB. A refurbished apartment within a multi-family dwelling representative of Mediterranean building habits was chosen as a study case and modelled within a simulation framework. A flexibility strategy based on set-point modulation depending on the energy price was applied to the building. The impact of the control strategy on thermal comfort was studied in detail with several methods retrieved from the standards or other literature, differentiating the effects on day and night living zones. It revealed a slight decrease of comfort when implementing flexibility, although this was not prejudicial. In addition, the applied strategy caused a simultaneous increase of the electricity used for heating by up to 7% and a reduction of the corresponding energy costs by up to around 20%. The proposed control thereby constitutes a promising solution for shifting heating loads towards periods of lower prices and is able to provide benefits for both the user and the grid sides. Beyond that, the activation of energy flexibility in buildings (nZEB in the present case will participate in a more successful integration of renewable energy sources (RES in the energy mix.

  7. Short-Run Contexts and Imperfect Testing for Continuous Sampling Plans

    Directory of Open Access Journals (Sweden)

    Mirella Rodriguez

    2018-04-01

    Full Text Available Continuous sampling plans are used to ensure a high level of quality for items produced in long-run contexts. The basic idea of these plans is to alternate between 100% inspection and a reduced rate of inspection frequency. Any inspected item that is found to be defective is replaced with a non-defective item. Because not all items are inspected, some defective items will escape to the customer. Analytical formulas have been developed that measure both the customer perceived quality and also the level of inspection effort. The analysis of continuous sampling plans does not apply to short-run contexts, where only a finite-size batch of items is to be produced. In this paper, a simulation algorithm is designed and implemented to analyze the customer perceived quality and the level of inspection effort for short-run contexts. A parameter representing the effectiveness of the test used during inspection is introduced to the analysis, and an analytical approximation is discussed. An application of the simulation algorithm that helped answer questions for the U.S. Navy is discussed.

  8. Emission intensity in New Zealand manufacturing and the short-run impacts of emissions pricing

    International Nuclear Information System (INIS)

    Bartleet, Matthew; Iyer, Kris; Numan-Parsons, Elisabeth

    2010-01-01

    This paper reports the greenhouse gas (GHG) emission intensity of the New Zealand (NZ) manufacturing sector at a combination of industry group and class levels (sub-sectors). The short-run impacts of a price on emissions are investigated with a focus on exporting activities. Sub-sectors that could be materially impacted by an expected range of emissions prices accounted for slightly over 9% of national gross domestic product. It is found that there is much variability of emission intensity within manufacturing and even within sub-sectors. An assessment of trade intensities further indicates that several emissions-intensive activities are also export-intensive. These activities are at most risk of losing competitiveness in the short-run if they are subjected to a price on GHG emissions that their competitors in other countries are not. Emissions reduction policies must take account of trade competitiveness imperatives if NZ is to meet its international GHG emissions target while maintaining manufacturing sector competitiveness. - Research Highlights: →Estimates initial short-term competitiveness impacts of ETS on NZ manufacturing. →Materiality of impacts determined based on firm level emissions and export intensity. →Results suggest that food processing sub-sectors are likely to be most impacted. →Iron and steel processing, and paper and pulp manufacture are impacted as well. →Cumulative GDP share of materially affected sub-sectors slightly over 9%.

  9. Long and Short Run Dynamics of Agricultural and Petroleum Sectors in the Economic Growth of Nigeria

    Directory of Open Access Journals (Sweden)

    Okunola Akinbode Michael

    2017-06-01

    Full Text Available This study examined the economic relationship among agriculture and petroleum sectors and growth of Nigeria’s economy as well as the effects of these two key sectors on the economic growth. The Bound (ARDL test which was used to examine the long-run relationship among the variables revealed that there is a long-run relationship among agricultural and petroleum sectors and economic growth. In the short run, both sectors have positive significant relationship with the economic growth. While for every 1% change in agricultural productivity there is about 60.89% change on economic growth, petroleum sector had about 37.07% change effect. Thus, agriculture contributes more than the petroleum sector in the short run. In the long-run, both sectors also have positive relationship with economic growth. Agriculture in the long-run also contribute more than the petroleum sector. While a 1% change in agricultural productivity effects a 53.49% increase in economic growth, petroleum sector increases GDP by 43.71%. However, in the long-run, while agriculture is significant at 5%, petroleum sector is significant at 10%. In conclusion, the positive relationship of both sectors with economic growth shows that they are rather economically complimentary than competitive that the actions and inactions of the government have made them look.

  10. Dezenflasyon Sürecinde Türkiye’de Enflasyonun Uzun ve Kısa Dönem Dinamiklerinin Modellenmesi(Modelling The Long Run and The Short Run Dynamics of Inflation In The Disinflation Process In Turkey

    Directory of Open Access Journals (Sweden)

    Macide ÇİÇEK

    2005-01-01

    Full Text Available In this study, it is employed that Expectations-Augmented Philips Curve Model to investigate the link between inflation and unit labor costs, output gap (proxy for demand shocks, real exchange rate (proxy for supply shocks and price expectations for Turkey using monthly data from 2000:01 to 2004:12. The methodology employed in this paper uses unit root test, Johansen Cointegration Test to examine the existence of possible long run relationships among the variables included in the model and a single equation error correction model for the inflation equation estimated by OLS to examine the short run dynamics of inflation, respectively. It is find that in the long run, mark-up behaviour of output prices over unit labor costs is the main cause of inflation, real exchange rate has a rather big impact on reduced inflation and demand shocks don’t led to an increase in prices. The short run dynamics of the inflation equation indicate that supply shocks are the determinant of inflation in the short run. It is also find that exchange rate is the variable that trigger an inflation adjustment the most rapidly in the short run.

  11. Brazilian residential sector demand administration programs: opportunities, costs and barriers; Programas de administracao da demanda para o setor residencial brasileiro: oportunidades, custos e barreiras

    Energy Technology Data Exchange (ETDEWEB)

    Jannuzzi, Gilberto de Martino [Universidade Estadual de Campinas, SP (Brazil). Faculdade de Engenharia Mecanica; Santos, Vanice Ferreira dos; Ugaya, Cassia Maria Lie; Madureira, Ronaldo Goncalves; Salcedo, Marco Vinicio Yanez [Universidade Estadual de Campinas, SP (Brazil)

    1995-12-31

    This work aims to present some results and discussions concerning the implementation of demand side management projects for the Brazilian residential sector. The economic advantages of these programs for the electric power utilities is presented as well as the barriers and problems. The opportunities for the application of such programs in a national level are presented and the expected difficulties discussed. A case study is presented 3 tabs., 3 refs.

  12. Modified SPC for short run test and measurement process in multi-stations

    Science.gov (United States)

    Koh, C. K.; Chin, J. F.; Kamaruddin, S.

    2018-03-01

    Due to short production runs and measurement error inherent in electronic test and measurement (T&M) processes, continuous quality monitoring through real-time statistical process control (SPC) is challenging. Industry practice allows the installation of guard band using measurement uncertainty to reduce the width of acceptance limit, as an indirect way to compensate the measurement errors. This paper presents a new SPC model combining modified guard band and control charts (\\bar{\\text{Z}} chart and W chart) for short runs in T&M process in multi-stations. The proposed model standardizes the observed value with measurement target (T) and rationed measurement uncertainty (U). S-factor (S f) is introduced to the control limits to improve the sensitivity in detecting small shifts. The model was embedded in automated quality control system and verified with a case study in real industry.

  13. The Short-Run And Long-Run Relationship In The Indonesia Islamic Stock Returns

    Directory of Open Access Journals (Sweden)

    M Shabri Abd Majid

    2016-02-01

    Full Text Available This paper aims at empirically examining the short-run and long-run causal relationship between the Indonesian Islamic stock returns and selected macroeconomic variables namely inflation, money supply and exchange rate during the pre- and post- 2008 global financial turmoil period from 2002 until 2007 and from 2008 until 2013 by using monthly data. The methodology used in this study is time series econometric techniques i.e. the unit root test,co-integration test, error correction model (ECM and variance decompositions(VDCs. The findings showed that there is cointegration between Islamic stock prices and macroeconomic variables. The results suggest that inflation, money supply, and exchange rate significantly affected the Islamic stock returns in Indonesia. These variables should be taken into account by the policy-makers as the important policy instruments in stabilizing Islamic stock markets in the countryDOI: 10.15408/aiq.v8i1.2505

  14. 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.

  15. A short-run solution to the power crisis of Pakistan

    International Nuclear Information System (INIS)

    Imran, Muhammad; Amir, Namra

    2015-01-01

    Pakistan is in a deep power crisis since 2008 which the government is trying to control by adding new generation capacity. This strategy, however, will not be helpful in the short-run. The only way, the power crisis can be controlled or mitigated in the short-run, is to efficiently utilize the available resources. Government lacks such a strategy at this point. The paper provides such a strategy by setting up a power sector model with multiple modules of generation, transmission and distribution. The model provides an efficient way of utilizing the available resources and can be used to perform simulations at different stages of the supply-chain. The results of model show that, if the given resources are utilized efficiently, the power generation increases by 3222 GWh or 5 percent of the current output and the revenue increases by $945 million or 12 percent. The extra generated power decrease the cost of power production by 0.52 ¢/KWh cents and reduces the power load-shedding for 2–3 h. These outcomes can significantly relieve the sector and the people of Pakistan. The results of the model have important policy implications on working of the sector and circular debt reduction. - Highlights: • Government needs a new strategy to come out of the power crisis along with adding new power generation. • Because one major reason of current power crisis is the inefficient use of available resources. • Focus of this paper is to provide such a strategy by setting up a power sector supply-chain model. • When resources are utilized efficiently, power generation and revenue increases by 5 and 12 percent respectively. • These outputs decreases cost of power production by 0.52¢/KWh and power load-shedding by 2–3 h.

  16. The potential demand for bioenergy in residential heating applications (bio-heat) in the UK based on a market segment analysis

    International Nuclear Information System (INIS)

    Jablonski, S.; Pantaleo, A.; Bauen, A.; Pearson, P.; Panoutsou, C.; Slade, R.

    2008-01-01

    How large is the potential demand for bio-heat in the UK? Whilst most research has focused on the supply of biomass for energy production, an understanding of the potential demand is crucial to the uptake of heat from bioenergy. We have designed a systematic framework utilising market segmentation techniques to assess the potential demand for biomass heat in the UK. First, the heat market is divided into relevant segments, characterised in terms of their final energy consumption, technological and fuel supply options. Second, the key technical, economic and organisational factors that affect the uptake of bioenergy in each heat segment are identified, classified and then analysed to reveal which could be strong barriers, which could be surmounted easily, and for which bioenergy heat represents an improvement compared to alternatives. The defined framework is applied to the UK residential sector. We identify provisionally the most promising market segments for bioenergy heat, and their current levels of energy demand. We find that, depending on the assumptions, the present potential demand for bio-heat in the UK residential sector ranges between 3% (conservative estimate) and 31% (optimistic estimate) of the total energy consumed in the heat market. (author)

  17. Income and price elasticities of electricity demand: Aggregate and sector-wise analyses

    International Nuclear Information System (INIS)

    Jamil, Faisal; Ahmad, Eatzaz

    2011-01-01

    Cointegration and vector error correction modeling approaches are widely used in electricity demand analysis. The study rigorously examines the determinants of electricity demand at aggregate and sectoral levels in Pakistan. In the backdrop of severe electricity shortages, our empirical findings give support to the existence of a stable long-run relationship among the variables and indicate that electricity demand is elastic in the long run to both income and price at aggregate level. At sectoral level, long-run income and price elasticity estimates follow this pattern except in agricultural sector, where electricity demand is found elastic to output but inelastic to electricity price. On the contrary, the coefficients for income and price are rather small and mostly insignificant in the short run. We employed temperature index, price of diesel oil and capital stock at aggregate and sectoral levels as exogenous variables. These variables account for most of the variations in electricity demand in the short run. It shows that mechanization of the economy significantly affect the electricity demand at macro level. Moreover, elastic electricity demand with respect to electricity price in most of the sectors implies that electricity price as a policy tool can be used for efficient use and conservation. - Highlights: → The study conducts analysis for aggregate and four sectors. → Sectoral analyses are for residential, commercial, manufacturing and agricultural sectors. → We obtained higher positive income and negative price elasticity in the long run. → The higher price elasticity implies that price can be used as a policy tool. → Capital stock and temperature variables explain most of the short-run demand fluctuations.

  18. Income and price elasticities of electricity demand: Aggregate and sector-wise analyses

    Energy Technology Data Exchange (ETDEWEB)

    Jamil, Faisal, E-mail: fsljml@hotmail.com [School of Economics, Quaid-e-Azam University, Islamabad (Pakistan); Ahmad, Eatzaz, E-mail: eatzaz@qau.edu.pk [School of Economics, Quaid-e-Azam University, Islamabad (Pakistan)

    2011-09-15

    Cointegration and vector error correction modeling approaches are widely used in electricity demand analysis. The study rigorously examines the determinants of electricity demand at aggregate and sectoral levels in Pakistan. In the backdrop of severe electricity shortages, our empirical findings give support to the existence of a stable long-run relationship among the variables and indicate that electricity demand is elastic in the long run to both income and price at aggregate level. At sectoral level, long-run income and price elasticity estimates follow this pattern except in agricultural sector, where electricity demand is found elastic to output but inelastic to electricity price. On the contrary, the coefficients for income and price are rather small and mostly insignificant in the short run. We employed temperature index, price of diesel oil and capital stock at aggregate and sectoral levels as exogenous variables. These variables account for most of the variations in electricity demand in the short run. It shows that mechanization of the economy significantly affect the electricity demand at macro level. Moreover, elastic electricity demand with respect to electricity price in most of the sectors implies that electricity price as a policy tool can be used for efficient use and conservation. - Highlights: > The study conducts analysis for aggregate and four sectors. > Sectoral analyses are for residential, commercial, manufacturing and agricultural sectors. > We obtained higher positive income and negative price elasticity in the long run. > The higher price elasticity implies that price can be used as a policy tool. > Capital stock and temperature variables explain most of the short-run demand fluctuations.

  19. 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

  20. Using Hydrated Salt Phase Change Materials for Residential Air Conditioning Peak Demand Reduction and Energy Conservation in Coastal and Transitional Climates in the State of California

    Science.gov (United States)

    Lee, Kyoung Ok

    The recent rapid economic and population growth in the State of California have led to a significant increase in air conditioning use, especially in areas of the State with coastal and transitional climates. This fact makes that the electric peak demand be dominated by air conditioning use of residential buildings in the summer time. This extra peak demand caused by the use of air conditioning equipment lasts only a few days out of the year. As a result, unavoidable power outages have occurred when electric supply could not keep up with such electric demand. This thesis proposed a possible solution to this problem by using building thermal mass via phase change materials to reduce peak air conditioning demand loads. This proposed solution was tested via a new wall called Phase Change Frame Wall (PCFW). The PCFW is a typical residential frame wall in which Phase Change Materials (PCMs) were integrated to add thermal mass. The thermal performance of the PCFWs was first evaluated, experimentally, in two test houses, built for this purpose, located in Lawrence, KS and then via computer simulations of residential buildings located in coastal and transitional climates in California. In this thesis, a hydrated salt PCM was used, which was added in concentrations of 10% and 20% by weight of the interior sheathing of the walls. Based on the experimental results, under Lawrence, KS weather, the PCFWs at 10% and 20% of PCM concentrations reduced the peak heat transfer rates by 27.0% and 27.3%, on average, of all four walls, respectively. Simulated results using California climate data indicated that PCFWs would reduce peak heat transfer rates by 8% and 19% at 10% PCM concentration and 12.2% and 27% at 20% PCM concentration for the coastal and transitional climates, respectively. Furthermore, the PCFWs, at 10% PCM concentration, would reduce the space cooling load and the annual energy consumption by 10.4% and 7.2%, on average in both climates, respectively.

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

    International Nuclear Information System (INIS)

    Orea, Luis; Llorca, Manuel; Filippini, Massimo

    2015-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-07-01

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

  3. Twisting the Dollar? On the Consistency of Short-Run and Long-Run Exchange Rate Expectations

    DEFF Research Database (Denmark)

    Stadtmann, Georg; Rülke, Jan; Frenkel, Michael

    2012-01-01

    ’ in the dollar/euro expectation formation process, i.e. market participants expect bandwagon effects in the short run, while they have stabilizing expectations in their long-run forecasts. Applying a panel probit analysis we find that this twisting behavior is more likely to occur in periods of excess exchange...

  4. The relevance of asymmetry issues for residential oil and natural gas demand: evidence from selected OECD countries, 1970-95

    International Nuclear Information System (INIS)

    Haas, R.; Zoechling, J.

    1998-01-01

    In times of low oil prices, oil demand in OECD countries has not rebounded as textbook economic theory would suggest. On the other hand, natural gas demand has increased, despite prices being at almost the same level as in 1985. In this paper, the impact of volatile prices on oil demand is investigated. Different econometric approaches are applied. The major conclusions of these investigations are: (i) with respect to the the choice of fuels, strong patterns of asymmetry exist; (ii) the maximum historical oil price is the dominating parameter on residual oil demand; and (iii) volatile prices have a greater influence on energy demand than high but rather constant prices

  5. The dynamics of sectoral electricity demand for a panel of US states: New evidence on the consumption–growth nexus

    International Nuclear Information System (INIS)

    Saunoris, James W.; Sheridan, Brandon J.

    2013-01-01

    In this paper, we use a panel of the 48 contiguous US states over the period 1970–2009 to examine the dynamics of electricity demand in addressing the four hypotheses set forth in the literature: growth, conservation, neutrality, and feedback. In doing so we provide both short-run and long-run elasticity estimates for electricity demand. Recent developments in nonstationary panel estimation techniques allow for heterogeneity in the coefficients while examining the direction of causality among electricity consumption, electricity prices, and income growth. In addition to the full sample, we also disaggregate the sample into three sectors: commercial, industrial, and residential. The short-run results provide evidence in favor of the growth hypothesis for the aggregate sample, as well as for the industrial sector. For the residential and commercial sectors, the conservation hypothesis is supported. Long-run results favor the conservation hypothesis. To ascertain differences in electricity demand relating to electricity intensity we also examine states based on their efficiency in electricity consumption. Overall, the results yield in favor of the growth hypothesis for low intensity states and conservation hypothesis for high intensity states. - Highlights: • We use dynamic panel techniques to model electricity demand by sector for US states. • The conservation hypothesis is supported in the long run; short-run results are mixed. • The conservation hypothesis is supported in the high-electricity-intensity subsample. • The growth hypothesis is supported in the low-electricity-intensity subsample. • Policies aimed at energy conservation should be long-run in nature

  6. Electrical network capacity support from demand side response: Techno-economic assessment of potential business cases for small commercial and residential end-users

    International Nuclear Information System (INIS)

    Martínez Ceseña, Eduardo A.; Good, Nicholas; Mancarella, Pierluigi

    2015-01-01

    Demand Side Response (DSR) is recognised for its potential to bring economic benefits to various electricity sector actors, such as energy retailers, Transmission System Operators (TSOs) and Distribution Network Operators (DNOs). However, most DSR is provided by large industrial and commercial consumers, and little research has been directed to the quantification of the value that small (below 100 kW) commercial and residential end-users could accrue by providing DSR services. In particular, suitable models and studies are needed to quantify potential business cases for DSR from small commercial and residential end-users. Such models and studies should consider the technical and physical characteristics of the power system and demand resources, together with the economic conditions of the power market. In addition, the majority of research focuses on provision of energy arbitrage or ancillary services, with very little attention to DSR services for network capacity support. Accordingly, this paper presents comprehensive techno-economic methodologies for the quantification of three capacity-based business cases for DSR from small commercial and residential end-users. Case study results applied to a UK context indicate that, if the appropriate regulatory framework is put in place, services for capacity support to both DNOs and TSOs can result into potentially attractive business cases for DSR from small end-users with minimum impact on their comfort level. -- Highlights: •We present three business cases for DSR from domestic and commercial end-users. •A comprehensive techno-economic methodology is proposed for the quantification of each DSR business cases. •The regulatory implications associated with each business case are discussed

  7. Modulation strategies of integrated HVAC systems used in residential buildings for demand-side management at different scales

    OpenAIRE

    Georges, Emeline

    2017-01-01

    The integration of renewable energy sources in the electricity production mix has an important impact on the management of the electricity grid, due to their intermittency. In particular, to ensure grid balancing, there is a rising need for flexibility, both on the supply and demand sides. A possible solution to help achieve grid balancing is the smart modulation of the electrical load in a "demand following supply" scheme through demand-side management. In this context, the objective of...

  8. Short- and long-run demand for energy in Mexico: a cointegration approach

    International Nuclear Information System (INIS)

    Galindo, L.M.

    2005-01-01

    The objective of this paper is to estimate the demands for the different types of energy consumption for the Mexican economy over the period 1965-2001. These demands are modeled as a function of output and the own real price. The Johansen (J. Econ. Dynamics Control 12 (1988) 231) procedure and the likelihood ratio tests indicate the existence of long-run and stable relationships between each type of energy demand and income with the exception of the industrial sector where the cointegrating vector also includes the relative prices. The weak exogeneity tests indicate that energy consumption and income do not reject the null hypothesis of weak exogeneity when relative prices are weak exogenous. The final econometric models show that relative prices in the short run are relevant in all cases, with the exception of the residential sector. These results indicate that in Mexico the demand for energy is fundamentally driven by income and that the effect of the relative prices is basically concentrated on the short run with the exception of the industrial sector, which also shows a long-term price impact. The strong dependence of energy consumption with respect to income and the price inelastic response indicates that it is necessary to introduce strong measures to decouple energy consumption from output in order to obtain sustainable economic growth in Mexico

  9. THE LONG-RUN AND SHORT-RUN EFFECTS OF CRUDE OIL PRICE ON METHANOL MARKET IN IRAN

    Directory of Open Access Journals (Sweden)

    Akbar Komijani

    2013-01-01

    Full Text Available Substituting crude oil exports with value-added petrochemical products is one of the main strategies for policy makers in oil-driven economies to isolating the real sectors of economy from oil price volatility. This policy inclination has led to a body of literature in energy economics in recent decades. As a case study, this paper investigates the short-run and long-run relationship between Iran’s oil price and methanol price which is one of the most important non-oil exports of the oil-exporting country. To do so, the weekly data from 18 Jan. 2009 to 18 Sep. 2011 in a VECM framework is applied. The results show that in the long-run, oil price hikes leads to proportional increase in methanol price while in the short-run, this impact is not significant.

  10. Testing for Unit Roots in Small Panels with Short-run and Long-run Cross-sectional Dependencies

    OpenAIRE

    Yoosoon Chang; Wonho Song

    2009-01-01

    An IV approach, using as instruments non-linear transformations of the lagged levels, is explored to test for unit roots in panels with general dependency and heterogeneity across cross-sectional units. We allow not only for the cross-sectional dependencies of innovations, but also for the presence of co-integration across cross-sectional levels. Unbalanced panels and panels with differing individual short-run dynamics and cross-sectionally related dynamics are also permitted. We also more ca...

  11. Trends in economic growth, poverty and energy in Colombia: long-run and short-run effects

    OpenAIRE

    Cotte Poveda, Alexander; Pardo Martínez, Clara

    2011-01-01

    This research analyses the long run and short run relationships among economic growth, poverty and energy using the Colombian case. In this study, we use the time-series methodologies. The results regarding the relationship among economic growth, poverty and energy show that increases in gross domestic product and energy supply per capita should lead a decrease of poverty, which should demonstrate that access to modern and adequate energy services help to decrease poverty and to increase econ...

  12. Control Method Based on Demand Response Needs of Isolated Bus Regulation with Series-Resonant Converters for Residential Photovoltaic Systems

    Directory of Open Access Journals (Sweden)

    Shu-Huai Zhang

    2017-05-01

    Full Text Available Considering the effects of isolation and high efficiency, a series-resonant DC-DC converter (L-L-C type, with two inductors and a capacitor has been introduced into a residential photovoltaic (PV generation and storage system in this work, and a voltage gain curve upwarp drifting problem was found. In this paper, the reason of upwarp drifting in the voltage gain curve is given, and a new changing topological control method to solve the voltage regulation problem under light load conditions is proposed. Firstly, the ideal and actual first harmonic approximation (FHA models are given, and this drifting problem is ascribed to the multiple peaks of higher-order resonance between resonant tank and parasitic capacitors. Then the paper presents the pulse-frequency-modulation (PFM driver signals control method to translate the full-bridge LLC into a half-bridge LLC converter, and with this method the voltage gain could easily be reduced by half. Based on this method, the whole voltage and resonant current sharing control methods in on-line and off-line mode are proposed. The parameters design and optimization methods are also discussed in detail. Finally, a residential PV system platform based on the proposed parallel 7-kW full-bridge LLC converter is built to verify the proposed control method and theoretical analysis.

  13. Home care and short-run nursing homes: organizational aspects of their integration with oncological organizations.

    Science.gov (United States)

    Zavaroni, C

    2001-09-01

    Social-health care to oncological elderly patients implies interconnection among oncological hospital and sub-district services and acknowledgement of a sole access channel. The project requires the formation of an inter-administrative coordination group and of functional transmural units with evaluational and operative roles. Various care levels (protected hospital admission and discharge, continuity visits, evaluational-therapeutic integration during treatment, palliative cures) implicate specific criterion of eligibility and actions to rationalize organization, coordination and distribution of interventions. Efficiency and effectiveness depend on integration with the services that supply material and with the diagnostic and ambulatory ones. The mid-term prospectives of the integration regard computerization of diagnostic, therapeutic, care and rehabilitation courses of patients (Regional Computerized Register of Disability) and formation of polyfunctional centres that concern home, residential and hospital intervention. Powerful technological instruments and the new organizational forms now available should encourage the formation of a morally upright society.

  14. Agent-Based Architectures and Algorithms for Energy Management in Smart Grids. Application to Smart Power Generation and Residential Demand Response

    International Nuclear Information System (INIS)

    Roche, Robin

    2012-01-01

    Due to the convergence of several profound trends in the energy sector, smart grids are emerging as the main paradigm for the modernization of the electric grid. Smart grids hold many promises, including the ability to integrate large shares of distributed and intermittent renewable energy sources, energy storage and electric vehicles, as well as the promise to give consumers more control on their energy consumption. Such goals are expected to be achieved through the use of multiple technologies, and especially of information and communication technologies, supported by intelligent algorithms. These changes are transforming power grids into even more complex systems, that require suitable tools to model, simulate and control their behaviors. In this dissertation, properties of multi-agent systems are used to enable a new systemic approach to energy management, and allow for agent-based architectures and algorithms to be defined. This new approach helps tackle the complexity of a cyber-physical system such as the smart grid by enabling the simultaneous consideration of multiple aspects such as power systems, the communication infrastructure, energy markets, and consumer behaviors. The approach is tested in two applications: a 'smart' energy management system for a gas turbine power plant, and a residential demand response system. An energy management system for gas turbine power plants is designed with the objective to minimize operational costs and emissions, in the smart power generation paradigm. A gas turbine model based on actual data is proposed, and used to run simulations with a simulator specifically developed for this problem. A meta-heuristic achieves dynamic dispatch among gas turbines according to their individual characteristics. Results show that the system is capable of operating the system properly while reducing costs and emissions. The computing and communication requirements of the system, resulting from the selected architecture, are

  15. The flexibility of household electricity demand over time

    International Nuclear Information System (INIS)

    Halvorsen, B.; Larsen, B.M.

    2001-01-01

    Empirical estimates of long run effects on residential electricity demand from changes in the electricity price are usually estimated by cross-sectional variation in the current stock of electric household appliances across households at a certain point in time. Here, we use a discrete-continuous approach modeling the long run effects by investments in new appliances. We apply the annual Norwegian Survey of Consumer Expenditure for the period 1975 to 1994 to estimate the short and long run own price elasticities in the two approaches. We find the estimated long run elasticity only slightly more price elastic than the short run. We also find that the long run elasticity does not differ significantly between the two approaches. The reason for both results is that, since there is no alternative source of energy for these appliances, there are no substitution effects

  16. Driving Demand for Home Energy Improvements: Motivating residential customers to invest in comprehensive upgrades that eliminate energy waste, avoid high utility bills, and spur the economy

    Energy Technology Data Exchange (ETDEWEB)

    Fuller, Merrian C.

    2010-09-20

    Policy makers and program designers in the U.S. and abroad are deeply concerned with the question of how to scale up energy efficiency to a level that is commensurate both to the scale of the energy and climate challenges we face, and to the potential for energy savings that has been touted for decades. When policy makers ask what energy efficiency can do, the answers usually revolve around the technical and economic potential of energy efficiency - they rarely hone in on the element of energy demand that matters most for changing energy usage in existing homes: the consumer. A growing literature is concerned with the behavioral underpinnings of energy consumption. We examine a narrower, related subject: How can millions of Americans be persuaded to divert valued time and resources into upgrading their homes to eliminate energy waste, avoid high utility bills, and spur the economy? With hundreds of millions of public dollars flowing into incentives, workforce training, and other initiatives to support comprehensive home energy improvements, it makes sense to review the history of these programs and begin gleaning best practices for encouraging comprehensive home energy improvements. Looking across 30 years of energy efficiency programs that targeted the residential market, many of the same issues that confronted past program administrators are relevant today: How do we cost-effectively motivate customers to take action? Who can we partner with to increase program participation? How do we get residential efficiency programs to scale? While there is no proven formula - and only limited success to date with reliably motivating large numbers of Americans to invest in comprehensive home energy improvements, especially if they are being asked to pay for a majority of the improvement costs - there is a rich and varied history of experiences that new programs can draw upon. Our primary audiences are policy makers and program designers - especially those that are relatively

  17. End-user comfort oriented day-ahead planning for responsive residential HVAC demand aggregation considering weather forecasts

    NARCIS (Netherlands)

    Erdinç, O.; Taşcikaraogυlu, A.; Paterakis, N.G.; Eren, Y.; Catalão, J.P.S.

    2017-01-01

    There is a remarkable potential for implementing demand response (DR) strategies for several purposes, such as peak load reduction, frequency regulation, etc., by using thermostatically controllable appliances. In this paper, an end-user comfort violation minimization oriented DR strategy for

  18. Estimating elasticities of demand for natural gas in the European household sector

    Energy Technology Data Exchange (ETDEWEB)

    Nilsen, Odd Bjarte; Asche, Frank; Tveteras, Ragnar

    2005-12-15

    This paper analyzes the residential natural gas demand in 12 European countries using a dynamic loglinear demand model, which allows for country-specific elasticity estimates in the short-run and long run. The explanatory variables include a heating degree days index, real prices of natural gas, light fuel oil, electricity, and real private income per capita. Our data set is a country panel with annual observations from 1978 to 2002. Short panel data sets like this represents a challenge for econometric estimation, as standard estimators often provide implausible estimates of elasticities. The demand model is estimated using both homogeneous and heterogeneous estimators, with a particular focus on the shrinkage estimator (an empirical Bayes estimator). The shrinkage short-run own-price and income elasticity tend to be very inelastic, but with greater long-run responsiveness. We provide support for employing a heterogeneous estimator such as the shrinkage estimator. But the empirical results also motivate a further scrutiny of its properties. We also consider the problem of reporting t-statistics of shrinkage estimators in the empirical Bayes (EB) framework and the problem of using the delta method to approximate the elasticities. The delta method biases upward the t-statistics of the shrinkage elasticities. An alternative approach, the bootstrap sampling methods obtained more reliable confidence intervals. We call into question - is the traditional way of constructing confidence intervals or t-statistics of the shrinkage estimator to naive. (Author)

  19. Optimisation of a Swedish district heating system with reduced heat demand due to energy efficiency measures in residential buildings

    International Nuclear Information System (INIS)

    Åberg, M.; Henning, D.

    2011-01-01

    The development towards more energy efficient buildings, as well as the expansion of district heating (DH) networks, is generally considered to reduce environmental impact. But the combined effect of these two progressions is more controversial. A reduced heat demand (HD) due to higher energy efficiency in buildings might hamper co-production of electricity and DH. In Sweden, co-produced electricity is normally considered to displace electricity from less efficient European condensing power plants. In this study, a potential HD reduction due to energy efficiency measures in the existing building stock in the Swedish city Linköping is calculated. The impact of HD reduction on heat and electricity production in the Linköping DH system is investigated by using the energy system optimisation model MODEST. Energy efficiency measures in buildings reduce seasonal HD variations. Model results show that HD reductions primarily decrease heat-only production. The electricity-to-heat output ratio for the system is increased for HD reductions up to 30%. Local and global CO 2 emissions are reduced. If co-produced electricity replaces electricity from coal-fired condensing power plants, a 20% HD reduction is optimal for decreasing global CO 2 emissions in the analysed DH system. - Highlights: ► A MODEST optimisation model of the Linköping district heating system is used. ► The impact of heat demand reduction on heat and electricity production is examined. ► Model results show that heat demand reductions decrease heat-only production. ► Local and global CO 2 emissions are reduced. ► The system electricity-to-heat output increases for reduced heat demand up to 30%.

  20. Short-run Distributional Effects of VAT Rate Change: Evidence from a consumption tax rate increase in Japan

    OpenAIRE

    David CASHIN; UNAYAMA Takashi

    2012-01-01

    Households will purchase more items than usual prior to a value added tax (VAT) rate increase in order to avoid taxation. Since this type of arbitrage requires resources such as shopping time and storage space, the impacts of tax increases vary across households, which has brought distributional effects in the short-run. Using the case of a consumption tax rate increase in Japan in 1997, we show that households who are non-working, with non-working spouses and residing in larger houses, benef...

  1. Mitigating the Impacts of Uncontrolled Air Flow on Indoor Environmental Quality and Energy Demand in Non-Residential Buildings

    Energy Technology Data Exchange (ETDEWEB)

    Hugh I. Henderson; Jensen Zhang; James B. Cummings; Terry Brennan

    2006-07-31

    This multi-faceted study evaluated several aspects of uncontrolled air flows in commercial buildings in both Northern and Southern climates. Field data were collected from 25 small commercial buildings in New York State to understand baseline conditions for Northern buildings. Laboratory wall assembly testing was completed at Syracuse University to understand the impact of typical air leakage pathways on heat and moisture transport within wall assemblies for both Northern and Southern building applications. The experimental data from the laboratory tests were used to verify detailed heat and moisture (HAM) simulation models that could be used to evaluate a wider array of building applications and situations. Whole building testing at FSEC's Building Science Laboratory (BSL) systematically evaluated the energy and IAQ impacts of duct leakage with various attic and ceiling configurations. This systematic test carefully controlled all aspects of building performance to quantify the impact of duct leakage and unbalanced flow. The newest features of the EnergyPlus building simulation tool were used to model the combined impacts of duct leakage, ceiling leakage, unbalanced flows, and air conditioner performance. The experimental data provided the basis to validate the simulation model so it could be used to study the impact of duct leakage over a wide range of climates and applications. The overall objective of this project was to transfer work and knowledge that has been done on uncontrolled air flow in non-residential buildings in Florida to a national basis. This objective was implemented by means of four tasks: (1) Field testing and monitoring of uncontrolled air flow in a sample of New York buildings; (2) Detailed wall assembly laboratory measurements and modeling; (3) Whole building experiments and simulation of uncontrolled air flows; and (4) Develop and implement training on uncontrolled air flows for Practitioners in New York State.

  2. Short run effects of bleaker prospects for oligopolistic producers of a non-renewable resource

    Energy Technology Data Exchange (ETDEWEB)

    Grimsrud, Kristine; Rosendahl, Knut Einar; Storroesten, Halvor Briseid; Tsygankova, Marina

    2013-01-15

    In a non-renewable resource market with imperfect competition, the resource owners' supply is governed both by current demand and by the resource rent. New information regarding future market conditions will typically affect the resource rent and hence current supply. Bleaker prospects will tend to accelerate extraction. We show, however, that for resource owners with substantial resource stocks, a more pessimistic outlook may in fact slow down early extraction. The explanation is that for players with extensive resource stocks, the resource rent is limited and supply is more driven by current market considerations. As players with less resources accelerate their supply, it may be optimal for the large resource owners to cut back on their supply. We illustrate this in the case of the European gas market, finding that the shale gas revolution may lead to an accelerated supply by most gas producers, but a postponement of Russian gas extraction.(Author)

  3. Estimating Short run and Long run Coefficients of Fundamentals Factors with Growth and Momentum Factor: Evidence from Emerging Markets

    Directory of Open Access Journals (Sweden)

    Adnan Shoaib

    2016-12-01

    Full Text Available This study examines the long term relationship of risk premium and fundamental factors in emerging stock markets of China, India and Pakistan keeping in view leading contribution of Fama and French (1992 and Carhart (1997 models. Contrary to the macroeconomic multifactor models, this study incorporates firm-specific risk factors related to the market premium; size (SMB, value (HML, momentum (WML and growth (UMD as determinants of risk premium. The firm-specific growth factor is incorporated based on evidence from Ho, Strange, and Piesse (2008 by employing (UMD which is based on assets to market equity of the firm. Sample of 1198 companies from the three emerging markets for the period of 2001-2013 depicts market risk premium as the leading factor affecting risk premium in Indian and the Pakistani markets. Results reveal market momentum being high enough to overestimate coefficients in the short run. However, the relationship is stabilized and adjusted in the long run. Chinese markets, where all the risk factors seem to play their role to determine risk premium, are relatively much stable and grown-up and clearly represent maturity of the Chinese markets. Distinction between the short run and long run might be useful for the investors of the three emerging economies. According to the principle of high risk associated with high returns, small value happens to deliver higher returns with higher volatility. The growth stocks outperform value stocks in these economies.

  4. Energy demand of occupant's spatial modification in residential buildings. Case study of Médéa, Algeria

    Science.gov (United States)

    Soufiane, Boukarta; Ewa, Berezowska-Azzag

    2018-03-01

    Housing is rated as one of the most commonly consuming energy field in terms of energy end-use with 41%. Regarding the transformations dealt by dwellers for functional and social uses. The aim of this paper is: Firstly, to highlight the non-controlled transformation process made by the occupant in Algeria; Secondly, to explore the impact of the energy load of such spatial transformations. The question is approached in two tracks, (i) Through Ecotect software's simulations (ii) and measurements through a collection of energy end-use data. Basically, the energy demand is bound to dwelling's spatial and socioeconomic criteria. Three cases studied showed consequently 2 positive and 1 negative energy load, in which two explanations may be given: Insulation quality that occupant is lacking facilities to improve may be stated as a physical explanation, as well as for the socio economic one, the density per dwelling plays a major role, but it is the income which explains within the two approaches more than 87% of the energy end use.

  5. Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

    Directory of Open Access Journals (Sweden)

    Kris Kessels

    2016-09-01

    Full Text Available Many smart grid projects make use of dynamic pricing schemes aimed to motivate consumers to shift and/or decrease energy use. Based upon existing literature and analyses of current smart grid projects, this survey paper presents key lessons on how to encourage households to adjust energy end use by means of dynamic tariffs. The paper identifies four key hypotheses related to fostering demand response through dynamic tariff schemes and examines whether these hypotheses can be accepted or rejected based on a review of published findings from a range of European pilot projects. We conclude that dynamic pricing schemes have the power to adjust energy consumption behavior within households. In order to work effectively, the dynamic tariff should be simple to understand for the end users, with timely notifications of price changes, a considerable effect on their energy bill and, if the tariff is more complex, the burden for the consumer could be eased by introducing automated control. Although sometimes the mere introduction of a dynamic tariff has proven to be effective, often the success of the pricing scheme depends also on other factors influencing the behavior of end users. An important condition to make dynamic tariffs work is that the end users should be engaged with them.

  6. 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)

  7. Trends in economic growth, poverty and energy in Colombia: long-run and short-run effects

    Energy Technology Data Exchange (ETDEWEB)

    Cotte Poveda, Alexander [University of Goettingen, Department of Economics, Goettingen (Germany); University of La Salle, Faculty of Accounting and Administration, Bogota (Colombia); Pardo Martinez, Clara Ines [Royal Institute of Technology, KTH, Energy and Climate Studies, Department of Energy Technology, Stockholm (Sweden); University of La Salle, Faculty of Engineering, Bogota (Colombia)

    2011-11-15

    This research analyses the long run and short run relationships among economic growth, poverty and energy using the Colombian case. In this study, we use the time-series methodologies. The results regarding the relationship among economic growth, poverty and energy show that increases in gross domestic product and energy supply per capita should lead a decrease of poverty, which should demonstrate that access to modern and adequate energy services help to decrease poverty and to increase economic growth. Moreover, the improvements in energy efficiency have contributed to increase economic growth from an approach of sustainable development. These results are important for the adequate design, formulation and application of policies and strategies that encourage a better energy use to improve economic growth and decrease poverty, especially in developing countries. (orig.)

  8. Error Correction Model of the Demand for Money in Pakistan

    OpenAIRE

    Qayyum, Abdul

    1998-01-01

    The paper estimated dynamic demand for money (Currency) function for Pakistan. it is concluded that in the long run money demand depends on income, rate of inflation and bond rate. The rate of Inflation and rate of interst on deposits emerged as important determinant of money demand in the short run. Moreover dynamic model remans stable througtout the study period.

  9. Residential greenhouse

    Energy Technology Data Exchange (ETDEWEB)

    1985-02-01

    The following report examines the technical and economic viability of residential greenhouse additions in Whitehorse, Yukon. The greenhouse was constructed using the south facing wall of an existing residence as a common wall. Total construction costs were $18,000, including labour. Annual fuel demand for the residence has been reduced by about 10 per cent for an annual saving of $425. In addition, produce to the value of $1,000 is grown annually in the greenhouse for domestic consumption and commercial resale. Typically the greenhouse operates for nine months each year. There is a net thermal loss during the months of November, December and January as a result of the large area of glazing. As well as supplementing the heating supply solar greenhouses can provide additional cash crops which can be used to offset the cost of construction. Humidity problems are minimal and can be dealt with by exhausting high humidity air. One system which has been considered for the greenhouse is to use a standard residential heat pump to remove excess moisture and to pump heat into the house. This would have a secondary benefit of excluding the need to circulate greenhouse air through the house. Thus any allergenic reactions to the greenhouse air would be prevented. 8 refs., 3 figs, 2 tabs.

  10. A Methology for Assessing the Regional Transportation Energy Demands of Different Spatial Residential Development Scenarios: a Case Study for the Upper Housatonic River Basin, Massachusetts

    Science.gov (United States)

    Oski, J. A.; Fabos, J. G.; Gross, M.

    1982-01-01

    A method is suggested whereby regional landscape planning efforts can be aided by the use of a geographic information system to determine sites for more energy efficient residential and mixed use developments within a study area. The location of land parcels suited for residential and mixed land use developments in the Upper Housatonic River Basin Study Area in Berkshire County, Massachusetts is described as well as the three development options. Significant steps in the procedure are discussed and the computation of the transportation energy requirement is elaborated.

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

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-07-01

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

  12. Hawaii demand-side management resource assessment. Final report, Reference Volume 3 -- Residential and commercial sector DSM analyses: Detailed results from the DBEDT DSM assessment model; Part 1, Technical potential

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-04-01

    The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. Numerous tables and figures illustrating the technical potential for demand-side management are included.

  13. Measuring Money Demand Function in Pakistan

    OpenAIRE

    Hassan, Shahid; Ali, Umbreen; Dawood, Mamoon

    2016-01-01

    This study investigates the factors such as interest rate, GDP per capita, exchange rate, fiscal deficit, urban and rural population to determine money demand function for Pakistan over the period from 1972-2013. We use ARDL Bound Testing approach in order to test long run relation between money demand and its factors whereas both long and short run coefficients will be found using similar approach. The results show that real interest rate exerts significant and negative effect upon money dem...

  14. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-05-15

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

  16. Dynamic Analysis of Money Demand Function: Case of Turkey*

    OpenAIRE

    doğru, bülent

    2013-01-01

    In this paper, the dynamic determinants of money demand function and the long-run and short-run relationships between money demand, income and nominal interest rates are examined in Turkey for the time period 1980-2012. In particular we estimate a dynamic specification of a log money demand function based on Keynesian liquidity preference theory to ascertain the relevant elasticity of money demand. The empirical results of the study show that in Turkey inflation, exchange rate and money deman...

  17. Estimating the short run effects of South Africa's Employment Tax Incentive on youth employment probabilities using a difference-in-differences approach

    OpenAIRE

    Vimal Ranchhod; Arden Finn

    2014-01-01

    What effect did the introduction of the Employment Tax Incentive (ETI) have on youth employment probabilities in South Africa in the short run? The ETI came into effect on the 1st of January 2014. Its purpose is to stimulate youth employment levels and ease the challenges that many youth experience in finding their first jobs. Under the ETI, firms that employ youth are eligible to claim a deduction from their taxes due, for the portion of their wage bill that is paid to certain groups of yout...

  18. Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids

    DEFF Research Database (Denmark)

    Vahedipour-Dahraie, Mostafa; Najafi, Hamid Reza; Anvari-Moghaddam, Amjad

    2017-01-01

    In recent deregulated power systems, demand response (DR) has become one of the most cost-effective and efficient solutions for smoothing the load profile when the system is under stress. By participating in DR programs, customers are able to change their energy consumption habits in response...

  19. Testing for the validity of purchasing power parity theory both in the long-run and the short-run for ASEAN-5

    Science.gov (United States)

    Choji, Niri Martha; Sek, Siok Kun

    2017-11-01

    The purchasing power parity theory says that the trade rates among two nations ought to be equivalent to the proportion of the total price levels between the two nations. For more than a decade, there has been substantial interest in testing for the validity of the Purchasing Power Parity (PPP) empirically. This paper performs a series of tests to see if PPP is valid for ASEAN-5 nations for the period of 2000-2016 using monthly data. For this purpose, we conducted four different tests of stationarity, two cointegration tests (Pedroni and Westerlund), and also the VAR model. The stationarity (unit root) tests reveal that the variables are not stationary at levels however stationary at first difference. Cointegration test results did not reject the H0 of no cointegration implying the absence long-run association among the variables and results of the VAR model did not reveal a strong short-run relationship. Based on the data, we, therefore, conclude that PPP is not valid in long-and short-run for ASEAN-5 during 2000-2016.

  20. Demand response in energy markets

    International Nuclear Information System (INIS)

    Skytte, K.; Birk Mortensen, J.

    2004-11-01

    Improving the ability of energy demand to respond to wholesale prices during critical periods of the spot market can reduce the total costs of reliably meeting demand, and the level and volatility of the prices. This fact has lead to a growing interest in the short-run demand response. There has especially been a growing interest in the electricity market where peak-load periods with high spot prices and occasional local blackouts have recently been seen. Market concentration at the supply side can result in even higher peak-load prices. Demand response by shifting demand from peak to base-load periods can counteract the market power in the peak-load. However, demand response has so far been modest since the current short-term price elasticity seems to be small. This is also the case for related markets, for example, green certificates where the demand is determined as a percentage of the power demand, or for heat and natural gas markets. This raises a number of interesting research issues: 1) Demand response in different energy markets, 2) Estimation of price elasticity and flexibility, 3) Stimulation of demand response, 4) Regulation, policy and modelling aspects, 5) Demand response and market power at the supply side, 6) Energy security of supply, 7) Demand response in forward, spot, ancillary service, balance and capacity markets, 8) Demand response in deviated markets, e.g., emission, futures, and green certificate markets, 9) Value of increased demand response, 10) Flexible households. (BA)

  1. Residential Care

    Science.gov (United States)

    ... Kids For Teens For Parents & Teachers Resolving Family Conflicts The Holidays and Alzheimer's Glossary Virtual Library Online ... longer an option Costs Choosing a care setting Types of residential care A good long-term care ...

  2. Implications Of Aggregate Demand Elasticity For The Phillips Curve

    OpenAIRE

    Ben L. Kyer; Gary E. Maggs

    2004-01-01

    While the general relationship between the aggregate supply curve and the Phillips curve is recognized, the importance of aggregate demand and, in particular, aggregate demand elasticity, for the inflation-unemployment relationship has been untreated. We believe, however, that the elasticity of aggregate demand with respect to the general price level does have some significance for the short-run Phillips curve since, on a general level, the economy's equilibrium price level, inflation rate, r...

  3. 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

  4. A model of residential energy end-use in Canada: Using conditional demand analysis to suggest policy options for community energy planners

    International Nuclear Information System (INIS)

    Newsham, Guy R.; Donnelly, Cara L.

    2013-01-01

    We applied conditional demand analysis (CDA) to estimate the average annual energy use of various electrical and natural gas appliances, and derived energy reductions associated with certain appliance upgrades and behaviours. The raw data came from 9773 Canadian households, and comprised annual electricity and natural gas use, and responses to >600 questions on dwelling and occupant characteristics, appliances, heating and cooling equipment, and associated behaviours. Replacing an old (>10 years) refrigerator with a new one was estimated to save 100 kW h/year; replacing an incandescent lamp with a CFL/LED lamp was estimated to save 20 kW h/year; and upgrading an old central heating system with a new one was estimated to save 2000 kW h/year. This latter effect was similar to that of reducing the number of walls exposed to the outside. Reducing the winter thermostat setpoint during occupied, waking hours was estimated to lower annual energy use by 200 kW h/°C-reduction, and lowering the thermostat setting overnight in winter relative to the setting during waking hours (night-time setback) was estimated to have a similar effect. This information may be used by policy-makers to optimize incentive programs, information campaigns, or other energy use change instruments. - Highlights: ► Conditional demand analysis (CDA) applied to data from 9773 Canadian households. ► Energy savings associated with certain appliance upgrades estimated. ► Energy savings associated with thermostat behaviours estimated. ► Policy-makers can use findings to optimize incentives and information campaigns

  5. Hourly price elasticity pattern of electricity demand in the German day-ahead market

    OpenAIRE

    Knaut, Andreas; Paulus, Simon

    2016-01-01

    System security in electricity markets relies crucially on the interaction between demand and supply over time. However, research on electricity markets has been mainly focusing on the supply side arguing that demand is rather inelastic. Assuming perfectly inelastic demand might lead to delusive statements regarding the price formation in electricity markets. In this article we quantify the short-run price elasticity of electricity demand in the German day-ahead market and show that demand is...

  6. Household energy demand. Empirical studies concerning Sweden

    Energy Technology Data Exchange (ETDEWEB)

    Dargay, J; Lundin, A

    1978-06-01

    This paper investigates the effects of energy policy on households in Sweden and provides the material necessary for evaluation of current and proposed energy-conservation measures. Emphasis is placed on the impact of enery taxation or price changes on household demand for electricity, heating oil, and gasoline and the consequences of such measures for income distribution. The results of the Swedish studies of household demand for heating oil and gasoline indicate that price changes can have a considerable long run impact on fuel utilization. In the short run, price responsiveness is notably reduced, but it is nevertheless of consequence for energy demand.

  7. Residential Waste

    DEFF Research Database (Denmark)

    Christensen, Thomas Højlund; Fruergaard, Thilde; Matsufuji, Y.

    2011-01-01

    are discussed in this chapter. Characterizing residential waste is faced with the problem that many residences already divert some waste away from the official collection systems, for example performing home composting of vegetable waste and garden waste, having their bundled newspaper picked up by the scouts...... twice a year or bringing their used furniture to the flea markets organized by charity clubs. Thus, much of the data available on residential waste represents collected waste and not necessarily all generated waste. The latter can only be characterized by careful studies directly at the source......, but such studies are very expensive if fair representation of both spatial and temporal variations should be obtained. In addition, onsite studies may affect the waste generation in the residence because of the increased focus on the issue. Residential waste is defined in different ways in different countries...

  8. Improved model for the calculation of the energy demand for the energetic evaluation of non-residential buildings; Verbessertes Modell zur Berechnung des Energiebedarfs zur energetischen Bewertung von Nichtwohngebaeuden

    Energy Technology Data Exchange (ETDEWEB)

    Kempf, Heike

    2011-06-29

    The German Industrial Norm DIN V 18599, which is related to the German Energieeinsparverordnung (EnEV), addresses the energetic evaluation of nonresidential buildings. With its more than 800 pages it is very voluminous and complex. Due to the complex subject of DIN V 18599, discrepancies causing considerable differences in the overall result are possible. A further weak point in the current procedure for energetic evaluation is the composition of individual zones within the considered buildings and the subsequent effort for acquisition and determination of values needed during computation. Before a non-residential building can be evaluated energetically, the building has to be divided into individual areas with identical boundary conditions (zoning). The process of zoning is an elementary step within the balancing according to DIN V 18599. It provides, beside the determination of geometrical data, the basis for further computations. Thus, the energetic evaluation of non-residential buildings is based on the so-called Multiple-Zone-Model as described in DIN V 18599. Zoning, especially the gathering of data connected to it, is a very time-consuming task, because the building areas and volumes have to be determined for each zone individually. Nevertheless, zoning is mandatory because of the often completely different net energies to be provided. In order to reduce this effort, a Single-Zone-Model was added to the Energieeinsparverordnung, which may be used under certain preconditions. However, in comparison to the Multi-Zone-Model, differences in the evaluation results are possible. The elimination of weak points, that is to say the difference in time and result, is reached by the computation of the annual primary energy demand on the basis of an Improved-Single-Zone-Model. The Improved-Single-Zone-Model works with improved use values and includes computations of the Single-Zone-Model as well as the Multiple-Zone-Model. The advantage of the Improved

  9. Price elasticity of demand for crude oil: estimates for 23 countries

    International Nuclear Information System (INIS)

    Cooper, J.C.B.

    2003-01-01

    This paper uses a multiple regression model derived from an adaptation of Nerlove's partial adjustment model to estimate both the short-run and long-run elasticities of demand for crude oil in 23 countries. The estimates so obtained confirm that the demand for crude oil internationally is highly insensitive to changes in price. (author)

  10. 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)

  11. International Oil Supplies and Demands

    Energy Technology Data Exchange (ETDEWEB)

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  12. International Oil Supplies and Demands

    International Nuclear Information System (INIS)

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence

  13. International Oil Supplies and Demands

    International Nuclear Information System (INIS)

    1992-04-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence

  14. International Oil Supplies and Demands

    Energy Technology Data Exchange (ETDEWEB)

    1992-04-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  15. Stability of Money Demand Function in Pakistan

    Directory of Open Access Journals (Sweden)

    Haroon Sarwar

    2013-09-01

    Full Text Available The role, which money demand function plays in monetary policy formulation has attracted a lot of research studies to analyze this macroeconomic phenomenon. In the wake of current global and local economic and political upheavals, it is imperative to revisit the stability of money demand function. The study used the time series data and applied latest econometric techniques to find out the long run and short run money demand relationship. Moreover, all the three official monetary aggregates were used for finding out the most stable monetary demand relationship, which could provide correct signals for monetary policy formulation. The study found that broader monetary aggregate (M2 was the proper aggregate, which provided stable money demand function for Pakistan. The real GDP was positively related to the demand for real balances, while opportunity cost of money was negatively related. The study found that the role of financial innovation, in explaining the demand for money warrants attention in formulating monetary policy.

  16. Dynamic energy-demand models. A comparison

    International Nuclear Information System (INIS)

    Yi, Feng

    2000-01-01

    This paper compares two second-generation dynamic energy demand models, a translog (TL) and a general Leontief (GL), in the study of price elasticities and factor substitutions of nine Swedish manufacturing industries: food, textiles, wood, paper, printing, chemicals, non-metallic minerals, base metals and machinery. Several model specifications are tested with likelihood ratio test. There is a disagreement on short-run adjustments; the TL model accepts putty-putty production technology of immediate adjustments, implying equal short- and long-run price elasticities of factors, while the GL model rejects immediate adjustments, giving out short-run elasticities quite different from the long-run. The two models also disagree in substitutability in many cases. 21 refs

  17. Residential solar-heating system

    Science.gov (United States)

    1978-01-01

    Complete residential solar-heating and hot-water system, when installed in highly-insulated energy-saver home, can supply large percentage of total energy demand for space heating and domestic hot water. System which uses water-heating energy storage can be scaled to meet requirements of building in which it is installed.

  18. The effect of changes in health sector resources on infant mortality in the short-run and the long-run: a longitudinal econometric analysis.

    Science.gov (United States)

    Farahani, Mansour; Subramanian, S V; Canning, David

    2009-06-01

    While countries with higher levels of human resources for health typically have better population health, the evidence that increases in the level of human resources for health leads to improvements in population health is limited. We use a dynamic regression model to obtain estimates of both the short-run and long-term effects of changes in physicians per capita, our measure of health system resources, on infant mortality. Using a dataset of 99 countries at 5-year intervals from 1960-2000, we estimate that increasing the number of physicians by one per 1000 population (roughly a doubling of current levels of provision) decreases the infant mortality rate by 15% within 5 years and by 45% in the long-run with half the long-run gain being achieved in 15 years. We conclude that the long-run effects of heath system resources are substantially larger than previously estimated. Our results suggest, however, that countries that have delayed action on the Millennium Development Goal of reducing infant and child mortality rate by two-thirds by 2015 (relative to 1990) may have difficulty meeting this goal even if they rapidly increase resources now.

  19. Analyzing the Effects of the Iranian Energy Subsidy Reform Plan on Short- Run Marginal Generation Cost of Electricity Using Extended Input-Output Price Model

    Directory of Open Access Journals (Sweden)

    Zohreh Salimian

    2012-01-01

    Full Text Available Subsidizing energy in Iran has imposed high costs on country's economy. Thus revising energy prices, on the basis of a subsidy reform plan, is a vital remedy to boost up the economy. While the direct consequence of cutting subsidies on electricity generation costs can be determined in a simple way, identifying indirect effects, which reflect higher costs for input factors such as labor, is a challenging problem. In this paper, variables such as compensation of employees and private consumption are endogenized by using extended Input-Output (I-O price model to evaluate direct and indirect effects of electricity and fuel prices increase on economic subsectors. The determination of the short-run marginal generation cost of electricity using I-O technique with taken into account the Iranian targeted subsidy plan's influences is the main goal of this paper. Marginal cost of electricity, in various scenarios of price adjustment of energy, is estimated for three conventional categories of thermal power plants. Our results show that the raising the price of energy leads to an increase in the electricity production costs. Accordingly, the production costs will be higher than 1000 Rials per kWh until 2014 as predicted in the beginning of the reform plan by electricity suppliers.

  20. EVALUATING THE SHORT RUN EFFECTS OF U.S. CRUDE OIL INVENTORY LEVELS ON WTI CRUDE OIL PRICE FROM 1993 - 2013

    Directory of Open Access Journals (Sweden)

    Tobi Olasojiand

    2016-07-01

    Full Text Available The focus of this research was to investigate the short-term influence of U.S. crude oil inventories on WTI crude oil prices from 1993 to 2013. This study is important for policy makers who wish to reduce the persistent and growing price volatility of crude oil and its related products as well as businesses such as airline companies who wish to make annual budgetary sales decisions. Using OLS multiple regression, cointegration, VECM and Ex-post forecast techniques; we provide evidence of an inelastic relationship in which a 1% increase in U.S. crude oil inventories is associated with 0.46% decrease in WTI crude oil prices; however this was only valid for 22% of WTI crude oil price variation. We also find that past data on U.S. crude oil inventories could be used to predict future WTI crude oil prices movement. Contrary to literature, the results of the VECM analysis indicate there is no short-run relationship between both variables over the trajectory.

  1. Effect of land area on average annual suburban water demand ...

    African Journals Online (AJOL)

    AADD) in South Africa are based on residential plot size. This paper presents a novel, robust method for estimating suburban water demand as a function of the suburb area. Seventy suburbs, identified as being predominantly residential, were ...

  2. Residential Mechanical Precooling

    Energy Technology Data Exchange (ETDEWEB)

    German, Alea [Davis Energy Group, Davis, CA (United States). Alliance for Residential Building Innovation (ARBI); Hoeschele, Marc [Davis Energy Group, Davis, CA (United States). Alliance for Residential Building Innovation (ARBI)

    2014-12-01

    Residential air conditioning (AC) represents a challenging load for many electric utilities with poor load factors. Mechanical precooling improves the load factor by shifting cooling operation from on-peak to off-peak hours. This provides benefits to utilities and the electricity grid, as well as to occupants who can take advantage of time-of-use (TOU) electricity rates. Performance benefits stem from reduced compressor cycling, and shifting condensing unit operation to earlier periods of the day when outdoor temperatures are more favorable to operational efficiency. Finding solutions that save energy and reduce demand on the electricity grid is an important national objective and supports key Building America goals. The Alliance for Residential Building Innovation team evaluated mechanical AC precooling strategies in homes throughout the United States. EnergyPlus modeling was used to evaluate two homes with different performance characteristics in seven climates. Results are applicable to new construction homes and most existing homes built in the last 10 years, as well as fairly efficient retrofitted homes. A successful off-peak AC strategy offers the potential for increased efficiency and improved occupant comfort, and promotes a more reliable and robust electricity grid. Demand response capabilities and further integration with photovoltaic TOU generation patterns provide additional opportunities to flatten loads and optimize grid impacts.

  3. Domestic and outbound tourism demand in Australia: a System-of-Equations Approach

    OpenAIRE

    George Athanasopoulos; Minfeng Deng; Gang Li; Haiyan Song

    2013-01-01

    This study uses a system-of-equations approach to model the substitution relationship between Australian domestic and outbound tourism demand. A new price variable based on relative ratios of purchasing power parity index is developed for the substitution analysis. Short-run demand elasticities are calculated based on the estimated dynamic almost ideal demand system. The empirical results reveal significant substitution relationships between Australian domestic tourism and outbound travel to ...

  4. Electrification Opportunities in the Transportation Sector and Impact of Residential Charging

    Energy Technology Data Exchange (ETDEWEB)

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

    2018-04-04

    This presentation provides an overview of electrification opportunities in the transportation sector and present results of a study assessing the impact of residential charging on residential power demand and electric power distribution infrastructure.

  5. Gasoline demand in Europe. New insights

    International Nuclear Information System (INIS)

    Pock, Markus

    2010-01-01

    This study utilizes a panel data set from 14 European countries over the period 1990-2004 to estimate a dynamic model specification for gasoline demand. Previous studies estimating gasoline consumption per total passenger cars ignore the recent increase in the number of diesel cars in most European countries leading to biased elasticity estimates. We apply several common dynamic panel estimators to our small sample. Results show that specifications neglecting the share of diesel cars overestimate short-run income, price and car ownership elasticities. It appears that the results of standard pooled estimators are more reliable than common IV/GMM estimators applied to our small data set. (author)

  6. Gasoline demand in Europe. New insights

    Energy Technology Data Exchange (ETDEWEB)

    Pock, Markus [Department of Economics and Finance, HealthEcon IHS - Institute for Advanced Studies, Vienna Stumpergasse 56, 1060 Vienna (Austria)

    2010-01-15

    This study utilizes a panel data set from 14 European countries over the period 1990-2004 to estimate a dynamic model specification for gasoline demand. Previous studies estimating gasoline consumption per total passenger cars ignore the recent increase in the number of diesel cars in most European countries leading to biased elasticity estimates. We apply several common dynamic panel estimators to our small sample. Results show that specifications neglecting the share of diesel cars overestimate short-run income, price and car ownership elasticities. It appears that the results of standard pooled estimators are more reliable than common IV/GMM estimators applied to our small data set. (author)

  7. 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.

  8. Demand Response With Micro-CHP Systems

    NARCIS (Netherlands)

    Houwing, M.; Negenborn, R.R.; De Schutter, B.

    2011-01-01

    With the increasing application of distributed energy resources and novel information technologies in the electricity infrastructure, innovative possibilities to incorporate the demand side more actively in power system operation are enabled. A promising, controllable, residential distributed

  9. International Oil Supplies and Demands. Volume 1

    Energy Technology Data Exchange (ETDEWEB)

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  10. International Oil Supplies and Demands. Volume 2

    Energy Technology Data Exchange (ETDEWEB)

    1992-04-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  11. An empirical analysis of gasoline demand in Denmark using cointegration techniques

    International Nuclear Information System (INIS)

    Bentzen, Jan

    1994-01-01

    Danish time-series data covering the period 1948-91 are used in order to estimate short-run and long-run elasticities in gasoline demand. A cointegration test for a stable long-run relationship between the variables in the model proves to be positive, showing a smaller value of the long-run price elasticity than often quoted in empirical studies of gasoline demand. Finally, an error correction model is estimated. (author)

  12. Development of Residential SOFC Cogeneration System

    Science.gov (United States)

    Ono, Takashi; Miyachi, Itaru; Suzuki, Minoru; Higaki, Katsuki

    2011-06-01

    Since 2001 Kyocera has been developing 1kW class Solid Oxide Fuel Cell (SOFC) for power generation system. We have developed a cell, stack, module and system. Since 2004, Kyocera and Osaka Gas Co., Ltd. have been developed SOFC residential co-generation system. From 2007, we took part in the "Demonstrative Research on Solid Oxide Fuel Cells" Project conducted by New Energy Foundation (NEF). Total 57 units of 0.7kW class SOFC cogeneration systems had been installed at residential houses. In spite of residential small power demand, the actual electric efficiency was about 40%(netAC,LHV), and high CO2 reduction performance was achieved by these systems. Hereafter, new joint development, Osaka Gas, Toyota Motors, Kyocera and Aisin Seiki, aims early commercialization of residential SOFC CHP system.

  13. Development of Residential SOFC Cogeneration System

    International Nuclear Information System (INIS)

    Ono, Takashi; Miyachi, Itaru; Suzuki, Minoru; Higaki, Katsuki

    2011-01-01

    Since 2001 Kyocera has been developing 1kW class Solid Oxide Fuel Cell (SOFC) for power generation system. We have developed a cell, stack, module and system. Since 2004, Kyocera and Osaka Gas Co., Ltd. have been developed SOFC residential co-generation system. From 2007, we took part in the 'Demonstrative Research on Solid Oxide Fuel Cells' Project conducted by New Energy Foundation (NEF). Total 57 units of 0.7kW class SOFC cogeneration systems had been installed at residential houses. In spite of residential small power demand, the actual electric efficiency was about 40%(netAC,LHV), and high CO2 reduction performance was achieved by these systems. Hereafter, new joint development, Osaka Gas, Toyota Motors, Kyocera and Aisin Seiki, aims early commercialization of residential SOFC CHP system.

  14. 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.

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

    International Nuclear Information System (INIS)

    Olaniyan, Monisola J.; Evans, Joanne

    2014-01-01

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

  16. Pay for load demand - electricity pricing with load demand component

    International Nuclear Information System (INIS)

    Pyrko, Jurek; Sernhed, Kerstin; Abaravicius, Juozas

    2003-01-01

    This publication is part of a project called Direct and Indirect Load Control in Buildings. Peak load problems have attracted considerable attention in Sweden during last three winters, caused by a significant decrease in available reserve power, which is a consequence of political decisions and liberalisation of the electricity market. A possible way to lower peak loads, avoiding electricity shortages and reducing electricity costs both for users and utilities, is to make customers experience the price difference during peak load periods and, in this way, become more aware of their energy consumption pattern and load demand. As of January 1st 2001, one of the Swedish energy utilities - Sollentuna Energi - operating in the Stockholm area, introduced a new electricity tariff with differentiated grid fees based on a mean value of the peak load every month. This tariff was introduced for all residential customers in the service area. The objective of this study is to investigate the extent to which a Load Demand Component, included in electricity pricing, can influence energy use and load demand in residential buildings. What are the benefits and disadvantages for customers and utilities? This paper investigates the impact of the new tariff on the utility and different types of typical residential customers, making comparisons with previous tariff. Keywords Load demand, electricity pricing, tariff, residential customers, energy behaviour

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

    Science.gov (United States)

    Rahman, Zahari Abdul; Elinda, Esa

    2016-03-01

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

  18. DETERMINANTS OF RESIDENTIAL PER CAPITA WATER ...

    African Journals Online (AJOL)

    This report presents the findings of the study on the determinants of residential per capita water demand of Makurdi metropolis in Benue State, Nigeria. Data for the study was obtained by the use of questionnaires, oral interviews and observations. The data was analyzed using SPSS. Twenty variables were considered in ...

  19. 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

  20. Effect of Financial Innovations on Demand for Money in Pakistan: An ARDL approach

    Directory of Open Access Journals (Sweden)

    Qais Aslam

    2010-12-01

    Full Text Available An increasing array of development of banking system of Pakistan, through the use of information technology and modernization of products and services has led to financial innovations to be considered as important determinant of demand for money. This paper investigates the relationship of financial innovations and demand for money in Pakistan using Pesaran and Shin (1995 ARDL approach for long run and ECM for short run determination using yearly observations from 1957 to 2008. Using the ARDL coefficient estimation approach financial innovations demonstrates positive relationship, not found to significant but highly elastic and does not have deterministic trend for long run estimation whereas positively significant and deterministic trend for money demand function in short run in case of Pakistan.

  1. 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)

  2. 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)

  3. The economic impact of energy saving retrofits of residential and public buildings in Croatia

    International Nuclear Information System (INIS)

    Mikulić, Davor; Bakarić, Ivana Rašić; Slijepčević, Sunčana

    2016-01-01

    The purpose of this paper is to estimunate the impact of energy saving investment in residential and public buildings in Croatia for the period 2015–2020. The aim is to assess the overall socio-economic impact of energy saving renovation measures defined in Croatian strategic documents in terms of the direct, indirect and induced growth of gross value added, employment and government revenues. An estimate of the avoided costs of air pollution is also included. The overall economic impact assessment is based on an input-output methodology. From the point of view of individual investors, the benefits in terms of reduced future expenses related to energy products are usually below energy efficient renovation investment costs, making an investment financially viable only if government support is provided. If the benefits for society as a whole are included, energy efficient renovation could be assessed as viable even in the short-run. Energy saving retrofits of residential and public buildings positively contribute to economic growth, employment and protection of the environment. Because of economic growth, the tax revenues induced by these investments could compensate for government expenditures, and the overall impact on the public deficit is expected to be neutral even in the short-run. - Highlights: •Estimate of the overall socioeconomic impact of energy saving renovation measures on national economy. •Energy efficient renovation if not subsidised is not financially viable from the owner perspective. •Total social benefits are higher than social costs due to positive externalities. •Impact of subsidies on public deficit is neutral even in the short run.

  4. RESIDENTIAL MORTGAGE IN MODERN RUSSIA

    Directory of Open Access Journals (Sweden)

    Dementiev N. P.

    2015-03-01

    Full Text Available The article presents a comparative analysis of residential mortgages in Russia and the United States. The primary ways of mortgage refinancing are outlined. Predominance of the elements of two-level refinancing system of residential mortgage in Russia and the United States is shown. The activity of the Agency for Housing Mortgage Lending (AHML, the basic tool of the Russian government’s mortgage policy, is described in detail. In its objectives and functions the AHML is similar to the American mortgage agencies Ginnie Mae, Fannie Mae and Freddie Mac. Similarities were identified in the Russian and US residential mortgages in the pre-crisis period (high rates of mortgage growth, favourable economic conjuncture, low interest rates, large increase in house prices, speculative housing demand. During the mortgage crisis, the policies of the Russian and US governments and monetary authorities had also much in common (monetary policy easing, cheap central banks loans, extended facilities of mortgage refinancing on the part of state agencies, mortgage rescue scheme, social mortgage programs. But the scope of mortgage in Russia is enormously narrow as compared to the US mortgage. The most important reason for that - low incomes of the Russian population.

  5. ELECTRICITY DEMAND IN A NORTHERN MEXICO METROPOLITAN ECONOMY

    Directory of Open Access Journals (Sweden)

    Thomas M. Fullerton

    2014-10-01

    Full Text Available Using an error correction framework, this study analyzes the long- and short-run dynamics of electricity demand in Ciudad Juarez, a large metropolitan economy on Mexico’s northern border. Demand is decomposed into the total number of electricity accounts and electricity usage per customer, each of which is modeled separately. A two-stage least squares approach is used to estimate the per customer electricity demand equations due to the endogeneity of the average price variable. The results indicate sustained growth in population, employment, and income can be expected to exert substantial upward pressure on regional electric power demand. Furthermore, demand is found to be price-inelastic in this metropolitan area, suggesting that rate increases can help raise the revenues necessary to fund expansion of the electrical grid.

  6. Energy savings in Danish residential building stock

    DEFF Research Database (Denmark)

    Tommerup, Henrik M.; Svendsen, Svend

    2006-01-01

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

  7. 77 FR 28519 - Test Procedure Guidance for Room Air Conditioners, Residential Dishwashers, and Residential...

    Science.gov (United States)

    2012-05-15

    ... Guidance for Room Air Conditioners, Residential Dishwashers, and Residential Clothes Washers: Public... procedures for room air conditioners, residential dishwashers, and residential clothes washers. DATES: DOE...'s existing test procedures for residential room air conditioners, residential dishwashers, and...

  8. 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

  9. Estimation of European Union residential sector space cooling potential

    International Nuclear Information System (INIS)

    Jakubcionis, Mindaugas; Carlsson, Johan

    2017-01-01

    Data on European residential space cooling demands are scarce and often of poor quality. This can be concluded from a review of the Comprehensive Assessments on the energy efficiency potential in the heating and cooling sector performed by European Union Member States under Art. 14 of the Energy Efficiency Directive. This article estimates the potential space cooling demands in the residential sector of the EU and the resulting impact on electricity generation and supply systems using the United States as a proxy. A georeferenced approach was used to establish the potential residential space cooling demand in NUTS-3 regions of EU. The total potential space cooling demand of the EU was estimated to be 292 TW h for the residential sector in an average year. The additional electrical capacity needed was estimated to 79 GW. With proper energy system development strategies, e.g. matching capacity of solar PV with cooling demand, or introduction of district cooling, the stresses on electricity system from increasing cooling demand can be mitigated. The estimated potential of space cooling demand, identified in this paper for all EU Members States, could be used while preparing the next iteration of EU MS Comprehensive Assessments or other energy related studies. - Highlights: • An estimation of EU space cooling demand potential in residential sector is presented. • An estimate of space cooling demand potential is based on using USA data as a proxy. • Significant cooling demand increase can be expected. • Cooling demand increase would lead to increased stress in energy supply systems. • Proper policies and strategies might measurably decrease the impact on energy systems.

  10. Development of a Residential Integrated Ventilation Controller

    Energy Technology Data Exchange (ETDEWEB)

    Staff Scientist; Walker, Iain; Sherman, Max; Dickerhoff, Darryl

    2011-12-01

    The goal of this study was to develop a Residential Integrated Ventilation Controller (RIVEC) to reduce the energy impact of required mechanical ventilation by 20percent, maintain or improve indoor air quality and provide demand response benefits. This represents potential energy savings of about 140 GWh of electricity and 83 million therms of natural gas as well as proportional peak savings in California. The RIVEC controller is intended to meet the 2008 Title 24 requirements for residential ventilation as well as taking into account the issues of outdoor conditions, other ventilation devices (including economizers), peak demand concerns and occupant preferences. The controller is designed to manage all the residential ventilation systems that are currently available. A key innovation in this controller is the ability to implement the concept of efficacy and intermittent ventilation which allows time shifting of ventilation. Using this approach ventilation can be shifted away from times of high cost or high outdoor pollution towards times when it is cheaper and more effective. Simulations, based on the ones used to develop the new residential ventilation requirements for the California Buildings Energy code, were used to further define the specific criteria and strategies needed for the controller. These simulations provide estimates of the energy, peak power and contaminant improvement possible for different California climates for the various ventilation systems. Results from a field test of the prototype controller corroborate the predicted performance.

  11. Residential heat pumps in the future Danish energy system

    DEFF Research Database (Denmark)

    Petrovic, Stefan; Karlsson, Kenneth Bernard

    2016-01-01

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

  12. Demand Uncertainty

    DEFF Research Database (Denmark)

    Nguyen, Daniel Xuyen

    This paper presents a model of trade that explains why firms wait to export and why many exporters fail. Firms face uncertain demands that are only realized after the firm enters the destination. The model retools the timing of uncertainty resolution found in productivity heterogeneity models....... This retooling addresses several shortcomings. First, the imperfect correlation of demands reconciles the sales variation observed in and across destinations. Second, since demands for the firm's output are correlated across destinations, a firm can use previously realized demands to forecast unknown demands...... in untested destinations. The option to forecast demands causes firms to delay exporting in order to gather more information about foreign demand. Third, since uncertainty is resolved after entry, many firms enter a destination and then exit after learning that they cannot profit. This prediction reconciles...

  13. Decision Making in the Short Run.

    Science.gov (United States)

    Lopes, Lola L.

    1981-01-01

    The commonly accepted idea that the only rational measure of the worth of a gamble is its expected value or some subjective counterpart such as expected utility is examined. Also discussed are the changes called for in theories of rational choice when prescriptions of rational models violate common sense. (Author/GK)

  14. Short run pricing in competitive electricity markets

    International Nuclear Information System (INIS)

    Ring, B. J.; Read, E. G.

    1996-01-01

    In response to the need for more responsive, competitive and decentralized pricing strategies forced upon the industry by deregulation, this study reviewed the type of electricity pricing required to coordinate a competitive wholesale electricity market over time periods typically of the order of one hour. It was found that nodal spot pricing can provide a straight-forward mechanism for providing the correct signals to market participants, while reflecting the costs and complexities of transmission network operation. Provided that all binding constraints are represented in the pricing model, and assuming that they are used in conjunction with long term contracts and capacity rights, such pricing can potentially deliver most of the benefits promised by perfect coordination, while allowing competition to flourish. 4 refs

  15. Investigating the factors affecting the investment decision in residential development.

    OpenAIRE

    Narang, Somil

    2007-01-01

    The purpose of this project is to provide a rare insight into the motivation behind residential property investors when looking to purchase an apartment. The factors driving demand preferences for housing are constantly changing, difficult to measure, and often deemed to be a complex bundle of attributes. The project attempts to answer the following questions: What are the factors affecting the investment decision in a Residential Development? To identify the significance and weight of su...

  16. Life-cycle energy of residential buildings in China

    International Nuclear Information System (INIS)

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

    2013-01-01

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

  17. Determinants of import demand for non-renewable energy (petroleum) products: Empirical evidence from Nigeria

    International Nuclear Information System (INIS)

    Adewuyi, Adeolu O.

    2016-01-01

    This study estimated determinants of import demand for refined petroleum products in Nigeria for the period 1984–2013. It employed the autoregressive distributed lag (ARDL) bounds test cointegration method and analysed both long-run and short-run determinants of import demand for total and specific petroleum products. In the long-run, aggregate and sectoral incomes are significant determinants of import of refined kerosene. Further, real effective exchange rate (REER), aggregate income (GDP), manufacturing sector's income, domestic energy production (DEP) and population growth rate (PGR) are drivers of import of refined motor spirit Moreover, REER, DEP and manufacturing sector's income are propellers of import of refined distillate fuel. Also, REER and total output of petroleum products are major drivers of total import of refined petroleum products. Short-run results show that previous period GDP, PGR and manufacturing and service sectors' incomes are determinants of import demand for refined kerosene. Moreover, REER, GDP, previous PGR and manufacturing sector's income exert significant effects on the import of refined motor spirit. Further, significant effects of REER, DEP, previous PGR, domestic output of the product and manufacturing and service sectors' incomes on the import demand for distillate fuel were found. Policy implications of the foregoing are articulated in the paper. - Highlights: •Long-run and short-run drivers of import demand for petroleum products were estimated. •kerosene import is income elastic, gasoline import is income and relative price inelastic. •Exchange rate policies may have diverse effects on import of various petroleum product. •Expanding market size has implication for import demand for petroleum product varieties. •Import demand for petroleum products responds differently to various sectoral incomes.

  18. Energy demand: Facts and trends

    Energy Technology Data Exchange (ETDEWEB)

    Chateau, B; Lapillonne, B

    1982-01-01

    The relationship between economic development and energy demand is investigated in this book. It gives a detailed analysis of the energy demand dynamics in industrialized countries and compares the past evolution of the driving factors behind energy demand by sector and by end-uses for the main OECD countries: residential sector (space heating, water heating, cooking...), tertiary sector, passenger and goods transport by mode, and industry (with particular emphasis on the steel and cement industry). This analysis leads to a more precise understanding of the long-term trends of energy demand; highlighting the influence on these trends of energy prices, especially after the oil price shocks, and of the type of economic development pattern.

  19. 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.

  20. Oil demand asymmetry in the OECD

    International Nuclear Information System (INIS)

    Shealy, M.T.

    1990-01-01

    Oil demand asymmetry exists, is significant, and can be captured with a simple demand equation using a Pmax term. The unstable parameters of the original symmetric equations suggest misspecification. Addition of a Pmax term to represent asymmetry yields stable parameters from 1982 through 1989 and so suggests proper specification. Asymmetry is significant because the short-run (and long-run) price elasticity is less than half as large when oil price falls as when price rises beyond the past peak. The lower elasticity applies both to price decreases and also to price increases for which price remains below the past peak. As long as the real oil price remains well below the 1981 peak, asymmetry implies that OECD oil demand should be less sensitive to oil price variations than in 1981. More specifically, the results shown suggest that today's oil demand elasticity should be less than half as large as the elasticity for a price increase in 1981. Forecasts from the asymmetric equations are significantly higher than the DOE base-case forecast. DOE's lower forecast is due to greater price asymmetry through 1995 and to higher long-run price elasticity beyond 1995. One reason for the higher long-run price elasticity might be greater assumed improvements in energy-efficiency than implied by the historical data

  1. Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach

    International Nuclear Information System (INIS)

    Adom, Philip Kofi; Bekoe, William; Akoena, Sesi Kutri Komla

    2012-01-01

    In spite of the varying supply boosting efforts made by various governments to deal with the existing demand–supply gap in the electricity sector, the incessant growth in aggregate domestic electricity demand has made these efforts futile. As an objective, this paper attempts to identify the factors responsible for the historical growth trends in aggregate domestic electricity demand quantifying their effects both in the short-run and long-run periods using the ARDL Bounds cointegration approach and the sample period 1975 to 2005. In the long-run, real per capita GDP, industry efficiency, structural changes in the economy, and degree of urbanisation are identified as the main driving force behind the historical growth trend in aggregate domestic electricity demand. However, in the short-run, real per capita GDP, industry efficiency, and degree of urbanisation are the main drivers of aggregate domestic electricity demand. Industry efficiency is the only factor that drives aggregate domestic electricity demand downwards. However, the negative efficiency effect is insufficient to have outweighed the positive income, output, and demographic effects, hence the continual growth in aggregate domestic electricity demand. As a policy option, we recommend that appropriate electricity efficiency standards be implemented at the industry level. - Highlights: ► Real per capita GDP is the primary determinant of electricity demand both in the short and long-run. ► Industrial efficiency, structural changes and urbanisation rate play secondary role. ► The positive income, output, and demographic effects outweigh the negative efficiency effects.

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

    Science.gov (United States)

    Reyna, Janet L; Chester, Mikhail V

    2017-05-15

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

  3. Demand elasticity of oil in Barbados

    Energy Technology Data Exchange (ETDEWEB)

    Moore, Alvon, E-mail: armoore@centralbank.org.bb [Economist, Central Bank of Barbados, Toms Adams Financial Centre, Bridgetown (Barbados)

    2011-06-15

    The importation of oil is a significant component of Barbados' imports, rising from 7% of imports in 1998 to over 20% in 2009. This increase has impacted greatly on the level of foreign reserves. As a price-taker, relying entirely on imported oil for our energy needs could prove a continuous drain on the economy. With a view to formulating an appropriate energy policy for Barbados, this paper analyses the demand for oil using monthly data from 1998 to 2009. The paper estimates the elasticities of demand for oil by employing single equation cointegration approach and comparing the results with countries that rely heavily on imported oil and whose policy objective are to alter their energy structure to rely less on imported oil. The results show that the demand for oil imports is price inelastic in the long run. The consumption of oil is responsive to past consumption, prices, income, electricity consumption and the number of appliances imported in the short-run. A policy framework to reduce the use of oil for electricity consumption via alternative energy sources should be considered and the taxation of oil imports given its elasticity is a good source of revenue. - Highlights: > Demand for oil is price inelastic in the long-run (-0.552). > The relationship between oil demand and income is insignificant in the long run. > As electricity consumption increases by 1%, the demand for oil rises by 1.43%. > Need to determine if investments in alternative sources can offset demand for oil. > Investment in alternative resources may be required before gains are realised.

  4. Demand elasticity of oil in Barbados

    International Nuclear Information System (INIS)

    Moore, Alvon

    2011-01-01

    The importation of oil is a significant component of Barbados' imports, rising from 7% of imports in 1998 to over 20% in 2009. This increase has impacted greatly on the level of foreign reserves. As a price-taker, relying entirely on imported oil for our energy needs could prove a continuous drain on the economy. With a view to formulating an appropriate energy policy for Barbados, this paper analyses the demand for oil using monthly data from 1998 to 2009. The paper estimates the elasticities of demand for oil by employing single equation cointegration approach and comparing the results with countries that rely heavily on imported oil and whose policy objective are to alter their energy structure to rely less on imported oil. The results show that the demand for oil imports is price inelastic in the long run. The consumption of oil is responsive to past consumption, prices, income, electricity consumption and the number of appliances imported in the short-run. A policy framework to reduce the use of oil for electricity consumption via alternative energy sources should be considered and the taxation of oil imports given its elasticity is a good source of revenue. - Highlights: → Demand for oil is price inelastic in the long-run (-0.552). → The relationship between oil demand and income is insignificant in the long run. → As electricity consumption increases by 1%, the demand for oil rises by 1.43%. → Need to determine if investments in alternative sources can offset demand for oil. → Investment in alternative resources may be required before gains are realised.

  5. Estimating petroleum products demand elasticities in Nigeria. A multivariate cointegration approach

    International Nuclear Information System (INIS)

    Iwayemi, Akin; Adenikinju, Adeola; Babatunde, M. Adetunji

    2010-01-01

    This paper formulates and estimates petroleum products demand functions in Nigeria at both aggregative and product level for the period 1977 to 2006 using multivariate cointegration approach. The estimated short and long-run price and income elasticities confirm conventional wisdom that energy consumption responds positively to changes in GDP and negatively to changes in energy price. However, the price and income elasticities of demand varied according to product type. Kerosene and gasoline have relatively high short-run income and price elasticities compared to diesel. Overall, the results show petroleum products to be price and income inelastic. (author)

  6. Estimating petroleum products demand elasticities in Nigeria. A multivariate cointegration approach

    Energy Technology Data Exchange (ETDEWEB)

    Iwayemi, Akin; Adenikinju, Adeola; Babatunde, M. Adetunji [Department of Economics, University of Ibadan, Ibadan (Nigeria)

    2010-01-15

    This paper formulates and estimates petroleum products demand functions in Nigeria at both aggregative and product level for the period 1977 to 2006 using multivariate cointegration approach. The estimated short and long-run price and income elasticities confirm conventional wisdom that energy consumption responds positively to changes in GDP and negatively to changes in energy price. However, the price and income elasticities of demand varied according to product type. Kerosene and gasoline have relatively high short-run income and price elasticities compared to diesel. Overall, the results show petroleum products to be price and income inelastic. (author)

  7. The impacts of weather variations on energy demand and carbon emissions

    International Nuclear Information System (INIS)

    Considine, T.J.

    2000-01-01

    This paper examines the impacts of climate fluctuations on carbon emissions using monthly models of US energy demand. The econometric analysis estimates price, income, and weather elasticities of short-run energy demand. Our model simulations suggest that warmer climate conditions in the US since 1982 slightly reduced carbon emissions in the US. Lower energy use associated with reduced heating requirements offsets higher fuel consumption to meet increased air-conditioning needs. The analysis also suggests that climate change policies should allow some variance in carbon emissions due to short-term weather variations

  8. Energy supply and demand in Canada and export demand for Canadian energy, 1966--1990

    Energy Technology Data Exchange (ETDEWEB)

    1969-01-01

    This report presents the results of a National Energy Board staff study of energy supply and demand in Canada to 1990. The study covers all forms of energy in Canada, and probable sources of supply for serving both indigenous and export demand for Canadian energy. Energy demand by market sector (residential and commercial, industrial, and transportation) is discussed in Chapters III, IV and V, respectively. Chapters VI, VII, VIII, and IX deal with supply prospects for Canadian petroleum, natural gas, coal, and electricity serving indigenous and export markets. A summary of the report is contained in Chapter II. Appendix A reviews general assumptions including those relating to population and household growth. Appendix B summarizes the methodology used for estimating residential energy demand, automobile transportation energy demand, and electricity supply. Appendix C includes a number of tables which provide detailed information. A list of definitions and abbreviations follows the Table of Contents.

  9. Can price get the monkey off our back? A meta-analysis of illicit drug demand.

    Science.gov (United States)

    Gallet, Craig A

    2014-01-01

    Because of the increased availability of price data over the past 15 years, several studies have estimated the demand for illicit drugs, providing 462 estimates of the price elasticity. Results from estimating several meta-regressions reveal that these price elasticity estimates are influenced by a number of study characteristics. For instance, the price elasticity differs across drugs, with its absolute value being smallest for marijuana, compared with cocaine and heroin. Furthermore, price elasticity estimates are sensitive to whether demand is modeled in the short-run or the long-run, measures of quantity and price, whether or not alcohol and other illicit drugs are included in the specification of demand, and the location of demand. However, a number of other factors, including the functional form of demand, several specification issues, the type of data and method used to estimate demand, and the quality of the publication outlet, have less influence on the price elasticity. Copyright © 2013 John Wiley & Sons, Ltd.

  10. Family ties and residential locations

    NARCIS (Netherlands)

    Mulder, C.H.; Cooke, T.J.

    2009-01-01

    In this paper, and in the Special Issue it introduces, the focus is on the role of family ties in residential location choice and, conversely, the role of residential locations in maintaining family ties. Not only do events in the nuclear family trigger residential relocations, but nearby family

  11. Demand analysis of tobacco consumption in Malaysia.

    Science.gov (United States)

    Ross, Hana; Al-Sadat, Nabilla A M

    2007-11-01

    We estimated the price and income elasticity of cigarette demand and the impact of cigarette taxes on cigarette demand and cigarette tax revenue in Malaysia. The data on cigarette consumption, cigarette prices, and public policies between 1990 and 2004 were subjected to a time-series regression analysis applying the error-correction model. The preferred cigarette demand model specification resulted in long-run and short-run price elasticities estimates of -0.57 and -0.08, respectively. Income was positively related to cigarette consumption: A 1% increase in real income increased cigarette consumption by 1.46%. The model predicted that an increase in cigarette excise tax from Malaysian ringgit (RM) 1.60 to RM2.00 per pack would reduce cigarette consumption in Malaysia by 3.37%, or by 806,468,873 cigarettes. This reduction would translate to almost 165 fewer tobacco-related lung cancer deaths per year and a 20.8% increase in the government excise tax revenue. We conclude that taxation is an effective method of reducing cigarette consumption and tobacco-related deaths while increasing revenue for the government of Malaysia.

  12. GREEN RETROFITTING RESIDENTIAL BUILDINGS

    Science.gov (United States)

    When compared with the rest of the world, the United States consumes a disproportionately large amount of energy and is a major source of greenhouse gases from fossil fuel combustion. As much as two thirds of U.S. electricity production is consumed by residential and commerci...

  13. Residential Mechanical Precooling

    Energy Technology Data Exchange (ETDEWEB)

    German, a. [Alliance for Residential Building Innovation (ARBI), Davis, CA (United States); Hoeschele, M. [Alliance for Residential Building Innovation (ARBI), Davis, CA (United States)

    2014-12-01

    This research conducted by the Alliance for Residential Building Innovation team evaluated mechanical air conditioner pre-cooling strategies in homes throughout the United States. EnergyPlus modeling evaluated two homes with different performance characteristics in seven climates. Results are applicable to new construction homes and most existing homes built in the last 10 years, as well as fairly efficient retrofitted homes.

  14. 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

  15. Demand for electrical energy

    International Nuclear Information System (INIS)

    Bergougnoux, J.; Fouquet, D.

    1983-01-01

    The different utilizations of electric energy are reviewed in the residential and tertiary sectors, in the industry. The competitive position of electricity in regard to other fuels has been strengthned by the sudden rise in the price of oil in 1973-1974 and 1979-1980. The evolution of electricity prices depended on the steps taken to adjust the electricity generation system. The substitution of electricity applications for hydro-carbons is an essential point of energy policy. The adjustment at all times, at least cost and most reliability, of the supply of electricity to the demand for it is a major problem in the design and operation of electric systems. National demand for power at a given moment is extremely diversified. Electricity consumption presents daily and seasonal variations, and variations according to the different sectors. Forecasting power requirements is for any decision on operation or investment relating to an electrical system. Load management is desirable (prices according to the customers, optional tariffs for ''peak-day withdrawal''). To conclude, prospects for increased electricity consumption are discussed [fr

  16. determinants of residential per capita water demand of makurdi

    African Journals Online (AJOL)

    user

    regression analysis for developing a consumption model. Seven variables were ... other non-governmental organizations have indicated that water supply in not ... 90% of rural areas and 60% of urban areas face water related problems [6].

  17. Guidelines for residential commissioning

    Energy Technology Data Exchange (ETDEWEB)

    Wray, Craig P.; Walker, Iain S.; Sherman, Max H.

    2003-01-31

    Currently, houses do not perform optimally or even as many codes and forecasts predict, largely because they are field assembled and there is no consistent process to identify problems or to correct them. Residential commissioning is a solution to this problem. This guide is the culmination of a 30-month project that began in September 1999. The ultimate objective of the project is to increase the number of houses that undergo commissioning, which will improve the quality, comfort, and safety of homes for California citizens. The project goal is to lay the groundwork for a residential commissioning industry in California focused on end-use energy and non-energy issues. As such, we intend this guide to be a beginning and not an end. Our intent is that the guide will lead to the programmatic integration of commissioning with other building industry processes, which in turn will provide more value to a single site visit for people such as home energy auditors and raters, home inspectors, and building performance contractors. Project work to support the development of this guide includes: a literature review and annotated bibliography, which facilitates access to 469 documents related to residential commissioning published over the past 20 years (Wray et al. 2000), an analysis of the potential benefits one can realistically expect from commissioning new and existing California houses (Matson et al. 2002), and an assessment of 107 diagnostic tools for evaluating residential commissioning metrics (Wray et al. 2002). In this guide, we describe the issues that non-experts should consider in developing a commissioning program to achieve the benefits we have identified. We do this by providing specific recommendations about: how to structure the commissioning process, which diagnostics to use, and how to use them to commission new and existing houses. Using examples, we also demonstrate the potential benefits of applying the recommended whole-house commissioning approach to

  18. Optimization scheduling in intelligent Energy Management System for the DC residential distribution system

    DEFF Research Database (Denmark)

    Yue, Jingpeng; Hu, Zhijian; Li, Chendan

    2017-01-01

    Smart DC residential distribution system(RDS) consisted by DC living homes will be a significant integral part in the future green transmission with demand flexibility. Meanwhile, the distributed generations will play an important role in the active demand response (DR). Energy Management System...... (EMS) with aid of the wireless communication and the smart meter is imperative in achieving ADR for DC residential community. This paper presents a framework of centralized management system integration and the key process of ADR in DC residential distribution system. The propose framework and methods...

  19. Mitigating the impact of swimming pools on domestic water demand

    African Journals Online (AJOL)

    need to implement desalination schemes by ensuring water is used in in a 'fit for purpose' manner. This study therefore aims to better understand the impact that pools have on residential water demand through the analysis of metered water demand records and end-use modelling. The study site was the Liesbeek.

  20. Energy efficient residential house wall system

    International Nuclear Information System (INIS)

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

    2013-01-01

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

  1. Microeconomics and the demand for space heating

    Energy Technology Data Exchange (ETDEWEB)

    Fisk, D.J.

    1977-12-01

    The techniques of economic utility theory are combined with the technical equations for heat loss from a dwelling to give insight into the variation of consumer demand for space heating. A theoretical relationship is established between the performance of the occupied dwelling as the external temperature falls and the short-run income elasticity of energy demand. The analysis is applied to studies of UK heating practice in the 1950s and the implied indifference map for thermal comfort deduced. This indifference map is found to show a considerable economic propensity to absorb some of the potential savings from energy conservation measurements in higher internal temperatures. The effect found is sufficiently large to have consequences for future energy planning if it were still present in the UK domestic sector. The analysis highlights a number of points that should aid the interpretation of field experiments on domestic energy consumption. In particular, it is shown that unless great care is taken to separate out the technical and economic origins of internal temperature variation, the results of field studies on the effectiveness of conservation techniques may only be of shortlived value.

  2. In demand

    Energy Technology Data Exchange (ETDEWEB)

    Coleman, B. [Bridgestone Ltd. (United Kingdom)

    2005-11-01

    The paper explains how good relationships can help alleviate potential tyre shortages. Demand for large dump truck tyres (largely for China) has increased by 50% within 12 months. Bridgestone's manufacturing plants are operating at maximum capacity. The company supplies tyres to all vehicles at Scottish Coal's opencast coal mines. Its Tyre Management System (TMS) supplied free of charge to customers helps maximise tyre life and minimise downtime from data on pressure, tread and general conditions fed into the hand-held TMS computer. 3 photos.

  3. Re-thinking residential mobility

    Science.gov (United States)

    van Ham, Maarten; Findlay, Allan M.

    2015-01-01

    While researchers are increasingly re-conceptualizing international migration, far less attention has been devoted to re-thinking short-distance residential mobility and immobility. In this paper we harness the life course approach to propose a new conceptual framework for residential mobility research. We contend that residential mobility and immobility should be re-conceptualized as relational practices that link lives through time and space while connecting people to structural conditions. Re-thinking and re-assessing residential mobility by exploiting new developments in longitudinal analysis will allow geographers to understand, critique and address pressing societal challenges. PMID:27330243

  4. Large-Scale Residential Demolition

    Science.gov (United States)

    The EPA provides resources for handling residential demolitions or renovations. This includes planning, handling harmful materials, recycling, funding, compliance assistance, good practices and regulations.

  5. Integrated urban water management for residential areas: a reuse model.

    Science.gov (United States)

    Barton, A B; Argue, J R

    2009-01-01

    Global concern over growing urban water demand in the face of limited water resources has focussed attention on the need for better management of available water resources. This paper takes the "fit for purpose" concept and applies it in the development of a model aimed at changing current practices with respect to residential planning by integrating reuse systems into the design layout. This residential reuse model provides an approach to the design of residential developments seeking to maximise water reuse. Water balance modelling is used to assess the extent to which local water resources can satisfy residential demands with conditions based on the city of Adelaide, Australia. Physical conditions include a relatively flat topography and a temperate climate, with annual rainfall being around 500 mm. The level of water-self-sufficiency that may be achieved within a reuse development in this environment is estimated at around 60%. A case study is also presented in which a conventional development is re-designed on the basis of the reuse model. Costing of the two developments indicates the reuse scenario is only marginally more expensive. Such costings however do not include the benefit to upstream and downstream environments resulting from reduced demand and discharges. As governments look to developers to recover system augmentation and environmental costs the economics of such approaches will increase.

  6. High Efficient Bidirectional Battery Converter for residential PV Systems

    DEFF Research Database (Denmark)

    Pham, Cam; Kerekes, Tamas; Teodorescu, Remus

    2012-01-01

    Photovoltaic (PV) installation is suited for the residential environment and the generation pattern follows the distribution of residential power consumption in daylight hours. In the cases of unbalance between generation and demand, the Smart PV with its battery storage can absorb or inject...... the power to balance it. High efficient bidirectional converter for the battery storage is required due high system cost and because the power is processed twice. A 1.5kW prototype is designed and built with CoolMOS and SiC diodes, >;95% efficiency has been obtained with 200 kHz hard switching....

  7. ASHRAE and residential ventilation

    Energy Technology Data Exchange (ETDEWEB)

    Sherman, Max H.

    2003-10-01

    In the last quarter of a century, the western world has become increasingly aware of environmental threats to health and safety. During this period, people psychologically retreated away from outdoors hazards such as pesticides, smog, lead, oil spills, and dioxin to the seeming security of their homes. However, the indoor environment may not be healthier than the outdoor environment, as has become more apparent over the past few years with issues such as mold, formaldehyde, and sick-building syndrome. While the built human environment has changed substantially over the past 10,000 years, human biology has not; poor indoor air quality creates health risks and can be uncomfortable. The human race has found, over time, that it is essential to manage the indoor environments of their homes. ASHRAE has long been in the business of ventilation, but most of the focus of that effort has been in the area of commercial and institutional buildings. Residential ventilation was traditionally not a major concern because it was felt that, between operable windows and envelope leakage, people were getting enough outside air in their homes. In the quarter of a century since the first oil shock, houses have gotten much more energy efficient. At the same time, the kinds of materials and functions in houses changed in character in response to people's needs. People became more environmentally conscious and aware not only about the resources they were consuming but about the environment in which they lived. All of these factors contributed to an increasing level of public concern about residential indoor air quality and ventilation. Where once there was an easy feeling about the residential indoor environment, there is now a desire to define levels of acceptability and performance. Many institutions--both public and private--have interests in Indoor Air Quality (IAQ), but ASHRAE, as the professional society that has had ventilation as part of its mission for over 100 years, is the

  8. Exploring Demand Charge Savings from Commercial Solar

    Energy Technology Data Exchange (ETDEWEB)

    Darghouth, Naim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Barbose, Galen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mills, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wiser, Ryan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Gagnon, Pieter [National Renewable Energy Lab. (NREL), Golden, CO (United States); Bird, Lori [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2017-07-31

    Commercial retail electricity rates commonly include a demand charge component, based on some measure of the customer’s peak demand. Customer-sited solar PV can potentially reduce demand charges, but the magnitude of these savings can be difficult to predict, given variations in demand charge designs, customer loads, and PV generation profiles. Moreover, depending on the circumstances, demand charges from solar may or may not align well with associated utility cost savings. Lawrence Berkeley National Laboratory (Berkeley Lab) and the National Renewable Energy Laboratory (NREL) are collaborating in a series of studies to understand how solar PV can reduce demand charge levels for a variety of customer types and demand charges designs. Previous work focused on residential customs with solar. This study, instead, focuses on commercial customers and seeks to understand the extent and conditions under which rooftop can solar reduce commercial demand charges. To answer these questions, we simulate demand charge savings for a broad range of commercial customer types, demand charge designs, locations, and PV system characteristics. This particular analysis does not include storage, but a subsequent analysis in this series will evaluate demand charge savings for commercial customers with solar and storage.

  9. Analysis on Price Elasticity of Energy Demand in East Asia: Empirical Evidence and Policy Implications for ASEAN and East Asia

    OpenAIRE

    Han PHOUMIN; Shigeru KIMURA

    2014-01-01

    This study uses time series data of selected ASEAN and East Asia countries to investigate the patterns of price and income elasticity of energy demand. Applying a dynamic log-linear energy demand model, both short-run and long-run price and income elasticities were estimated by country. The study uses three types of dependent variable “energy demand” such as total primary energy consumption (TPES), total final energy consumption (TFEC) and total final oil consumption (TFOC) to regress on its ...

  10. Solar + Storage Synergies for Managing Commercial-Customer Demand Charges

    Energy Technology Data Exchange (ETDEWEB)

    Gagnon, Pieter J. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Govindarajan, Anand [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Bird, Lori A. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Barbose, Galen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Darghouth, Naim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mills, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2017-10-24

    We study the synergies between behind-the-meter solar and storage in reducing commercial-customer demand charges. This follows two previous studies that examined demand charge savings for stand-alone solar in both the residential and commercial sectors. In this study we show that solar and storage show consistent synergies for demand charge management, that the magnitude of reductions are highly customer-specific, and that the magnitude of savings is influenced by the design of the electricity tariff.

  11. Wood products and other building materials used in new residential construction in Canada, with comparison to previous studies

    Science.gov (United States)

    Joe Elling; David B. McKeever

    2015-01-01

    New residential construction is a critical driver of the demand for lumber, structural panels and engineered wood products in Canada. For the period 2010 through 2013, residential construction accounted for roughly 23 percent of the lumber consumed in Canada and 47 percent of structural panel usage. Insufficient data concerning imports and exports prevent estimates of...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-09-01

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

  13. Modelling demand for crude oil products in Spain

    International Nuclear Information System (INIS)

    Pedregal, D.J.; Dejuan, O.; Gomez, N.; Tobarra, M.A.

    2009-01-01

    This paper develops an econometric model for the five most important crude oil products demand in Spain. The aim is the estimation of a range of elasticities of such demands that would serve as the basis for an applied general equilibrium model used for forecasting energy demand in a broader framework. The main distinctive features of the system with respect to previous literature are (1) it takes advantage of monthly information coming from very different information sources and (2) multivariate unobserved components (UC) models are implemented allowing for a separate analysis of long- and short-run relations. UC models decompose time series into a number of unobserved though economic meaningful components mainly trend, seasonal and irregular. A module is added to such structure to take into account the influence of exogenous variables necessary to compute price, cross and income elasticities. Since all models implemented are multivariate in nature, the demand components are allowed to interact among them through the system noises (similar to a seemingly unrelated equations model). The results show unambiguously that the main factor driving demand is real income with prices having little impact on energy consumption. (author)

  14. Modelling demand for crude oil products in Spain

    Energy Technology Data Exchange (ETDEWEB)

    Pedregal, D.J. [Escuela Tecnica Superior de Ingenieros Industriales and Instituto de Matematica Aplicada a la Ciencia y la Ingenieria (IMACI), Universidad de Castilla-La Mancha (UCLM), Avenida Camilo Jose Cela s/n, 13071 Ciudad Real (Spain); Dejuan, O.; Gomez, N.; Tobarra, M.A. [Facultad de Ciencias Economicas y Empresariales, Universidad de Castilla-La Mancha (UCLM) (Spain)

    2009-11-15

    This paper develops an econometric model for the five most important crude oil products demand in Spain. The aim is the estimation of a range of elasticities of such demands that would serve as the basis for an applied general equilibrium model used for forecasting energy demand in a broader framework. The main distinctive features of the system with respect to previous literature are (1) it takes advantage of monthly information coming from very different information sources and (2) multivariate unobserved components (UC) models are implemented allowing for a separate analysis of long- and short-run relations. UC models decompose time series into a number of unobserved though economic meaningful components mainly trend, seasonal and irregular. A module is added to such structure to take into account the influence of exogenous variables necessary to compute price, cross and income elasticities. Since all models implemented are multivariate in nature, the demand components are allowed to interact among them through the system noises (similar to a seemingly unrelated equations model). The results show unambiguously that the main factor driving demand is real income with prices having little impact on energy consumption. (author)

  15. Analysis of Facebook content demand patterns

    OpenAIRE

    Kihl, Maria; Larsson, Robin; Unnervik, Niclas; Haberkamm, Jolina; Arvidsson, Åke; Aurelius, Andreas

    2014-01-01

    Data volumes in communication networks increase rapidly. Further, usage of social network applications is very wide spread among users, and among these applications, Facebook is the most popular. In this paper, we analyse user demands patterns and content popularity of Facebook generated traffic. The data comes from residential users in two metropolitan access networks in Sweden, and we analyse more than 17 million images downloaded by almost 16,000 Facebook users. We show that the distributi...

  16. Residential Energy Performance Metrics

    Directory of Open Access Journals (Sweden)

    Christopher Wright

    2010-06-01

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

  17. 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.

  18. Predictive Control of a Domestic Freezer for Real-Time Demand Response Applications

    NARCIS (Netherlands)

    Baghina, N.G.; Lampropoulos, I.; Asare-Bediako, B.; Kling, W.L.; Ribeiro, P.F.

    2012-01-01

    Demand side management and demand response aim to maximize the efficiency of the electricity delivery process by exploiting the flexibility of customers. At residential level, demand response can be applied only to a limited number of appliances, through load management, due to user intervention or

  19. EnviroAtlas - Domestic Water Demand by 12-Digit HUC for the Conterminous United States

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset includes domestic water demand attributes which provide insight into the amount of water currently used for indoor and outdoor residential...

  20. Actual performance and economic feasibility of residential solar water heaters

    International Nuclear Information System (INIS)

    Anhalt, J.

    1987-01-01

    Four residential solar water heaters currently available on the Brazilian market have been evaluated to their possible use for substituting the common electric shower head. The tests were carried out with the solar systems mounted side by side on an artificial roof. The hot water demand was simulated following a consumer profile which represents a Brazilian family with an income of seven minimum salaries. The data, which was collected automatically and presented in the form of graphs and tables, shows that an optimized solar water heater could save as much as 65% of the energy demand for residential water heating in the state of Sao Paulo. An economical study concludes that the installation and maintenance of such a solar system is feasible if long term financing is available. (author)

  1. Possibility of hydrogen supply by shared residential fuel cell systems for fuel cell vehicles

    Directory of Open Access Journals (Sweden)

    Ono Yusuke

    2017-01-01

    Full Text Available Residential polymer electrolyte fuel cells cogeneration systems (residential PEFC systems produce hydrogen from city gas by internal gas-reformer, and generate electricity, the hot water at the same time. From the viewpoint of the operation, it is known that residential PEFC systems do not continuously work but stop for long time, because the systems generate enough hot water for short operation time. In other words, currently residential PEFC systems are dominated by the amount of hot water demand. This study focuses on the idle time of residential PEFC systems. Since their gas-reformers are free, the systems have potential to produce hydrogen during the partial load operations. The authors expect that residential PEFC systems can take a role to supply hydrogen for fuel cell vehicles (FCVs before hydrogen fueling stations are distributed enough. From this perspective, the objective of this study is to evaluate the hydrogen production potential of residential PEFC systems. A residential PEFC system was modeled by the mixed integer linear programming to optimize the operation including hydrogen supply for FCV. The objective function represents annual system cost to be minimized with the constraints of energy balance. It should be noted that the partial load characteristics of the gas-reformer and the fuel cell stack are taken into account to derive the optimal operation. The model was employed to estimate the possible amount of hydrogen supply by a residential PEFC system. The results indicated that the system could satisfy at least hydrogen demand for transportation of 8000 km which is as far as the average annual mileage of a passenger car in Japan. Furthermore, hydrogen production by sharing a residential PEFC system with two households is more effective to reduce primary energy consumption with hydrogen supply for FCV than the case of introducing PEFC in each household.

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

    OpenAIRE

    Taranu, Victoria; Verbeeck, Griet

    2015-01-01

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

  3. Marketing analysis of the demand for housing under construction in Chelyabinsk

    Directory of Open Access Journals (Sweden)

    Trofimenko Elena Jur'evna

    2015-04-01

    Full Text Available In the article the urgency of studying the demand for housing under construction in Chelyabinsk, studied Rosreestra data on quantity of completed contracts for the purchase of property, assess the current state of the real estate market in Chelyabinsk; consumer demand in the property market in Chelyabinsk (size, structure; socio-demographic characteristics of consumers of residential property; consumer preferences when buying a residential property.

  4. ENERGY STAR Certified Residential Dishwashers

    Data.gov (United States)

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

  5. ENERGY STAR Certified Residential Freezers

    Data.gov (United States)

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

  6. ENERGY STAR Certified Residential Refrigerators

    Data.gov (United States)

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

  7. Dynamics of Electricity Demand in Lesotho: A Kalman Filter Approach

    Directory of Open Access Journals (Sweden)

    Thamae Retselisitsoe Isaiah

    2015-04-01

    Full Text Available This study provides an empirical analysis of the time-varying price and income elasticities of electricity demand in Lesotho for the period 1995-2012 using the Kalman filter approach. The results reveal that economic growth has been one of the main drivers of electricity consumption in Lesotho while electricity prices are found to play a less significant role since they are monopoly-driven and relatively low when compared to international standards. These findings imply that increases in electricity prices in Lesotho might not have a significant impact on consumption in the short-run. However, if the real electricity prices become too high over time, consumers might change their behavior and sensitivity to price and hence, energy policymakers will need to reconsider their impact in the long-run. Furthermore, several exogenous shocks seem to have affected the sensitivity of electricity demand during the period prior to regulation, which made individuals, businesses and agencies to be more sensitive to electricity costs. On the other hand, the period after regulation has been characterized by more stable and declining sensitivity of electricity demand. Therefore, factors such as regulation and changes in the country’s economic activities appear to have affected both price and income elasticities of electricity demand in Lesotho.

  8. Micro-CHP systems for residential applications

    International Nuclear Information System (INIS)

    Paepe, Michel de; D'Herdt, Peter; Mertens, David

    2006-01-01

    Micro-CHP systems are now emerging on the market. In this paper, a thorough analysis is made of the operational parameters of 3 types of micro-CHP systems for residential use. Two types of houses (detached and terraced) are compared with a two storey apartment. For each building type, the energy demands for electricity and heat are dynamically determined. Using these load profiles, several CHP systems are designed for each building type. Data were obtained for two commercially available gas engines, two Stirling engines and a fuel cell. Using a dynamic simulation, including start up times, these five system types are compared to the separate energy system of a natural gas boiler and buying electricity from the grid. All CHP systems, if well sized, result in a reduction of primary energy use, though different technologies have very different impacts. Gas engines seem to have the best performance. The economic analysis shows that fuel cells are still too expensive and that even the gas engines only have a small internal rate of return (<5%), and this only occurs in favourable economic circumstances. It can, therefore, be concluded that although the different technologies are technically mature, installation costs should at least be reduced by 50% before CHP systems become interesting for residential use. Condensing gas boilers, now very popular in new homes, prove to be economically more interesting and also have a modest effect on primary energy consumption

  9. Canadian energy standards : residential energy code requirements

    Energy Technology Data Exchange (ETDEWEB)

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

    2006-09-15

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

  10. PowerChoice Residential Customer Response to TOU Rates

    Energy Technology Data Exchange (ETDEWEB)

    Peters, Jane S.; Moezzi, Mithra; Lutzenhiser, Susan; Woods, James; Dethman, Linda; Kunkle, Rick

    2009-10-01

    Research Into Action, Inc. and the Sacramento Municipal Utility District (SMUD) worked together to conduct research on the behaviors and energy use patterns of SMUD residential customers who voluntarily signed on to a Time-of-Use rate pilot launched under the PowerChoice label. The project was designed to consider the how and why of residential customers ability and willingness to engage in demand reduction behaviors, and to link social and behavioral factors to observed changes in demand. The research drew on a combination of load interval data and three successive surveys of participating households. Two experimental treatments were applied to test the effects of increased information on households ability to respond to the Time-of-Use rates. Survey results indicated that participants understood the purpose of the Time-of-Use rate and undertook substantial appropriate actions to shift load and conserve. Statistical tests revealed minor initial price effects and more marked, but still modest, adjustments to seasonal rate changes. Tests of the two information interventions indicated that neither made much difference to consumption patterns. Despite the lackluster statistical evidence for load shifting, the analysis points to key issues for critical analysis and development of residential Time-of-Use rates, especially pertinent as California sets the stage for demand response in more California residences.

  11. 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

  12. Demand controlled ventilation for multi-family dwellings

    DEFF Research Database (Denmark)

    Mortensen, Dorthe Kragsig

    for centrally balanced DCV systems with heat recovery. A design expected to fulfill this requirement was investigated in detail with regard to its electricity consumption by evaluating a control strategy that resets the static pressure set point at part load. The results showed that this control strategy can......The present thesis “Demand controlled ventilation for multi-family dwellings” constitutes the summary of a three year project period during which demand specification and system design of demand controlled ventilation for residential buildings were studied. Most standards and buildings codes...... can be reduced compared to a system with constant air flow. A literature study on indoor pollutants in homes, their sources and their impact on humans formed the basis for the demand specification. Emission of pollutants in residential buildings roughly fall into constantly emitted background sources...

  13. A co-integration analysis of the price and income elasticities of energy demand in Turkish agriculture

    International Nuclear Information System (INIS)

    Tuerkekul, Berna; Unakitan, Goekhan

    2011-01-01

    Agriculture has an important role in every country's development. Particularly, the contribution of agriculture to development and competitiveness is increasing with agricultural productivity growth. Productivity, in turn, is closely associated with direct and indirect use of energy as an input. Therefore, the importance of energy in agriculture cannot be denied as one of the basic inputs to the economic growth process. Following the importance of energy in Turkish agriculture, this study aims to estimate the long- and short-run relationship of energy consumption, agricultural GDP, and energy prices via co-integration and error correction (ECM) analysis. Annual data from 1970 to 2008 for diesel and electricity consumptions are utilized to estimate long-run and short-run elasticities. According to ECM analysis, for the diesel demand model, the long-run income and price elasticities were calculated as 1.47 and -0.38, respectively. For the electricity demand model, income and price elasticities were calculated at 0.19 and -0.72, respectively, in the long run. Briefly, in Turkey, support for energy use in agriculture should be continued in order to ensure sustainability in agriculture, increase competitiveness in international markets, and balance farmers' income. - Research highlights: → We estimate the long and short run elasticities for diesel and electricity demands in agriculture. → The long-run income and price elasticities calculated as 1.47 and 0.38, respectively for diesel. → The long run Income and price elasticities calculated as 0.19 and 0.72 for electricity.

  14. A co-integration analysis of the price and income elasticities of energy demand in Turkish agriculture

    Energy Technology Data Exchange (ETDEWEB)

    Tuerkekul, Berna, E-mail: berna.turkekul@ege.edu.t [Department of Agricultural Economics, Faculty of Agriculture, Ege University, 35100 Izmir (Turkey); Unakitan, Goekhan, E-mail: unakitan@nku.edu.t [Department of Agricultural Economics, Faculty of Agriculture, Namik Kemal University, Tekirdag (Turkey)

    2011-05-15

    Agriculture has an important role in every country's development. Particularly, the contribution of agriculture to development and competitiveness is increasing with agricultural productivity growth. Productivity, in turn, is closely associated with direct and indirect use of energy as an input. Therefore, the importance of energy in agriculture cannot be denied as one of the basic inputs to the economic growth process. Following the importance of energy in Turkish agriculture, this study aims to estimate the long- and short-run relationship of energy consumption, agricultural GDP, and energy prices via co-integration and error correction (ECM) analysis. Annual data from 1970 to 2008 for diesel and electricity consumptions are utilized to estimate long-run and short-run elasticities. According to ECM analysis, for the diesel demand model, the long-run income and price elasticities were calculated as 1.47 and -0.38, respectively. For the electricity demand model, income and price elasticities were calculated at 0.19 and -0.72, respectively, in the long run. Briefly, in Turkey, support for energy use in agriculture should be continued in order to ensure sustainability in agriculture, increase competitiveness in international markets, and balance farmers' income. - Research highlights: {yields} We estimate the long and short run elasticities for diesel and electricity demands in agriculture. {yields} The long-run income and price elasticities calculated as 1.47 and 0.38, respectively for diesel. {yields} The long run Income and price elasticities calculated as 0.19 and 0.72 for electricity.

  15. Energy demand analysis in the household, commercial and agriculture sector

    International Nuclear Information System (INIS)

    Lapillonne, B.

    1991-01-01

    This chapter of the publication is dealing with Energy Demand Analysis in the Household, Commercial and Agricultural Sector. Per Capita total energy consumption in the residential and commercial sector is given and variation among countries are discussed. 12 figs, 1 tab

  16. Short- and long-run elasticities of gasoline demand in India. An empirical analysis using cointegration techniques

    International Nuclear Information System (INIS)

    Ramanathan, R.

    1999-01-01

    In developing countries like India, consumption of petroleum products has implications on its balance of payments, economic growth and fiscal deficit. Gasoline is one of the prime petroleum products. In this paper, the relationship between gasoline demand, national income and price of gasoline is empirically examined using cointegration and error correction techniques. The time frame of the analysis is from 1972-1973 to 1993-1994. It has been found that gasoline demand is likely to increase significantly for a given increase in the gross domestic product. The increase will be larger in the long-run (2.682) than in the short-run (1.178). Gasoline demand is relatively inelastic to price changes, both in the long and short terms. The error correction model has shown that gasoline demand adjusts to their respective long-run equilibrium at a relatively slow rate, with about 28% of adjustment taking place in the first year. 23 refs

  17. New trajectories of post-socialist residential mobility in Bucharest

    Directory of Open Access Journals (Sweden)

    Bogdan Suditu

    2014-05-01

    Full Text Available Over the post-socialist period, residential mobility processes were very intense and took place on large areas. Flow intensity led to the emergence of new spatial and functional realities and created new relationships within the affected areas. During all this period, Bucharest’s metropolitan area was shaped by the spatial mobility of the city dwellers, as well as by the change of their social and residential aspirations. The majority of those who were registered as movers in Bucharest were actually residents of Bucharest (they only changed their domicile and the share of people coming to the city from elsewhere has increased constantly over the last decade. Except for the early 1990s, a period when residential legal status was pending clarification, migrations from peri-urban area, especially from Ilfov County, to Bucharest had a low intensity. Situation is quite different in terms of moving out of Bucharest, to the communes and towns of Ilfov County, located in close proximity, which have been continuously increasing values. The correlation between housing stock features (real estate supply and the demand of new dwellings (emphasized by the residential trajectories prove both that current mobility flows taking place at this time in Bucharest are segmented based on economic-spatial criteria and that Markov chains are functional.

  18. Calculating residential carbon dioxide emissions - a new approach

    International Nuclear Information System (INIS)

    Hughes, Larry; Bohan, Kathleen; Good, Joel; Jafapur, Khosrow

    2005-01-01

    All Annex 1 Parties are required to submit an annual national greenhouse gas inventory to the United Nations Framework Convention on Climate Change using the common report format. The inventory is to include a sectoral report for energy, listing different sectors and their associated greenhouse gas emissions (principally carbon dioxide, methane, and nitrous oxide). The sectors and their associated emissions can be used as a benchmark to show changes in emissions over time. In certain cases, these changes can be misleading, since an apparent emission reduction in one sector can result in a significant increase in the emissions of another, typically electricity production. Applying the emissions to the sector responsible for the final energy demand (as opposed to the sector that generates the energy) allows researchers and policy makers to develop reduction strategies that are targeted to the demand. This paper demonstrates this by removing the equivalent residential emissions from category A.1.a (Public Electricity and Heat Production) and applying them to category A.4.b (Residential) in Nova Scotia, a Canadian province that relies heavily on fossil fuels for electrical generation. The shift in emissions changes an apparent 4.1 percent decrease in Nova Scotia's residential emissions between 1991 and 2001 to an 8.2 percent increase. (Author)

  19. Optimal residential smart appliances scheduling considering distribution network constraints

    Directory of Open Access Journals (Sweden)

    Yu-Ree Kim

    2016-01-01

    Full Text Available As smart appliances (SAs are more widely adopted within distribution networks, residential consumers can contribute to electricity market operations with demand response resources and reduce their electricity bill. However, if the schedules of demand response resources are determined only by the economic electricity rate signal, the schedule can be unfeasible due to the distribution network constraints. Furthermore, it is impossible for consumers to understand the complex physical characteristics and reflect them in their everyday behaviors. This paper introduces the concept of load coordinating retailer (LCR that deals with demand responsive appliances to reduce electrical consumption for the given distribution network constraints. The LCR can play the role of both conventional retailer and aggregated demand response provider for residential customers. It determines the optimal schedules for the aggregated neighboring SAs according to their types within each distribution feeder. The optimization algorithms are developed using Mixed Integer Linear Programming, and the distribution network is solved by the Newton–Raphson AC power flow.

  20. 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.

  1. Demand spillovers of smash-hit papers: evidence from the 'Male Organ Incident'.

    Science.gov (United States)

    Kässi, Otto; Westling, Tatu

    2013-12-01

    This study explores the short-run spillover effects of popular research papers. We consider the publicity of 'Male Organ and Economic Growth: Does Size Matter?' as an exogenous shock to economics discussion paper demand, a natural experiment of a sort. In particular, we analyze how the very substantial visibility influenced the downloads of Helsinki Center of Economic Research discussion papers. Difference in differences and regression discontinuity analysis are conducted to elicit the spillover patterns. This study finds that the spillover effect to average economics paper demand is positive and statistically significant. It seems that hit papers increase the exposure of previously less downloaded papers. We find that part of the spillover effect could be attributable to Internet search engines' influence on browsing behavior. Conforming to expected patterns, papers residing on the same web page as the hit paper evidence very significant increases in downloads which also supports the spillover thesis. A11, C21. 97K80.

  2. Indonesia Export, Import, and Demand for Domestic Commodities under Economics Liberalisation

    Directory of Open Access Journals (Sweden)

    Andi Irawan

    2011-09-01

    Full Text Available The aim of this research is to identify the behaviour of export, import and domestic commoditiesdemand in liberalization era both in the long run and the short run. This researchapplies the Vector Error Correction Model, Johansen Cointegration Test, Impulse ResponseAnalysis and Granger Causality Test. The data range from 1993:01 to 2002:12. The resultshows that in the long run the cross-price elasticity of imported non agricultural goods withrespect to demand for domestically produced goods have lower magnitudes than own priceelasticity of domestically produced goods. The demand elasticity of import commodities iselastic but that of domestic commodities is inelastic.Keywords: Import, Export, Economic Liberalization, Vector Error Correction Model

  3. The role of remittances in the stability of money demand in Pakistan: A cointegration analysis

    Directory of Open Access Journals (Sweden)

    Ghumro Niaz Hussain

    2017-01-01

    Full Text Available The paper examines the dynamic relationship between the series of monetary aggregates M1 and M2 for the period 1972-2014. M1 and M2 are the dependent variables, while the explanatory variables are real income, discount rate, inflation rate, real exchange rate, and remittances. The ARDL bounds testing approach to cointegration is used to investigate the existence of long-run and short-run effects of remittances on monetary aggregates. The results show that remittances exert only positive effects on real narrow money demand in the end, suggesting that in Pakistan remittances are used for the purpose of consumption. Both money demand functions are stable in Pakistan, but the longrun effect of M1 remittances is a faster speed of adjustment to equilibrium (26.2% than M2 remittances (21.3%. It is recommended that M1 be used as a monetary tool in Pakistan.

  4. Price and income elasticities of crude oil import demand in South Africa. A cointegration analysis

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-12-15

    This paper examines the demand for imported crude oil in South Africa as a function of real income and the price of crude oil over the period 1980-2006. We carried out the Johansen co integration multivariate analysis to determine the long-run income and price elasticities. A unique long-run cointegration relationship exists between crude oil imports and the explanatory variables. The short-run dynamics are estimated by specifying a general error correction model. The estimated long-run price and income elasticities of -0.147 and 0.429 suggest that import demand for crude oil is price and income inelastic. There is also evidence of unidirectional long-run causality running from real GDP to crude oil imports. (author)

  5. Energy in China: Coping with increasing demand

    International Nuclear Information System (INIS)

    Sandklef, Kristina

    2004-11-01

    Sustaining the increasing energy consumption is crucial to future economic growth in China. This report focuses on the current and future situation of energy production and consumption in China and how China is coping with its increasing domestic energy demand. Today, coal is the most important energy resource, followed by oil and hydropower. Most energy resources are located in the inland, whereas the main demand for energy is in the coastal areas, which makes transportation and transmission of energy vital. The industrial sector is the main driver of the energy consumption in China, but the transport sector and the residential sector will increase their share of consumption in China, but the transport sector and the residential sector will increase their share of consumption by 2020. China's energy intensity decreased during the 1990s, but it is still high in a global comparison. China is projected to increase its energy consumption at least two times between 2000 and 2025. The government has an equal focus on energy conservation and to develop the current energy resources. Coal will continue to be the most important fuel, but the demand for oil, hydropower, natural gas and nuclear power will also increase. The main future challenges are transportation of energy resources within China and securing oil supply, both domestic and imports

  6. Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data

    Energy Technology Data Exchange (ETDEWEB)

    Jin, Ling; Lee, Doris; Sim, Alex; Borgeson, Sam; Wu, Kesheng; Spurlock, C. Anna; Todd, Annika

    2017-03-21

    Current practice in whole time series clustering of residential meter data focuses on aggregated or subsampled load data at the customer level, which ignores day-to-day differences within customers. This information is critical to determine each customer’s suitability to various demand side management strategies that support intelligent power grids and smart energy management. Clustering daily load shapes provides fine-grained information on customer attributes and sources of variation for subsequent models and customer segmentation. In this paper, we apply 11 clustering methods to daily residential meter data. We evaluate their parameter settings and suitability based on 6 generic performance metrics and post-checking of resulting clusters. Finally, we recommend suitable techniques and parameters based on the goal of discovering diverse daily load patterns among residential customers. To the authors’ knowledge, this paper is the first robust comparative review of clustering techniques applied to daily residential load shape time series in the power systems’ literature.

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

    Energy Technology Data Exchange (ETDEWEB)

    Busche, S.; Hockett, S.

    2010-06-01

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

  8. Understanding Residential Polarization in a Globalizing City

    Directory of Open Access Journals (Sweden)

    Ibrahim Rotimi Aliu

    2013-12-01

    Full Text Available This study examines the spatial polarization that characterizes the dwellings in the African leading megacity of Lagos. Data were collected through an extensive housing survey carried out on 1,485 household residences in 56 wards within 12 administrative units in Lagos megacity. The spatial dimension of residential density in the city generates three unique residential patterns which are low residential density (LRD, medium residential density (MRD, and high residential density (HRD areas. Descriptive and multivariate inferential statistics were used to render explanations for the spatial variations in the residential quality variables in the study area. Findings indicated that a clear difference exists in the residential quality within the three residential density areas of Lagos. High correlations exist among the residential quality indicators and housing type. The principal component analysis shows that residential polarizations that occur in the LRD, MRD, and HRD are based on the location, dwelling facility, interior and exterior quality, neighborhood integrity, social bond, barrier to entry, and security. The practical implications of residential polarizations along the residential density areas are explicitly expressed.

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

    Science.gov (United States)

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

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

  10. Technical Problems of Residential Construction

    Science.gov (United States)

    Nowogońska, Beata; Cibis, Jerzy

    2017-10-01

    Beauty, utility, durability - these are the features of good architecture and should also be the distinguishing qualities of every residential building. But do beauty and utility remain along with the passing of time? Performance characteristics are an indicator of both, the technical as well as aesthetic state of buildings. Aesthetic needs are in disagreement with the merciless aging process. The beauty of a city is formed not only by the original forms of new residential buildings, but also by existing tenement housing; thus preserving their aesthetics becomes a necessity. Time is continuously passing and along with it, aging intensifies. The aging process is a natural phenomenon for every material. The life expectancy of building materials is also limited. Along with the passing of time, the technical state of residential buildings continuously deteriorates. With the passing of time, the aesthetic values and preferences of users of flats change and the usability of the building decreases. The permanence of buildings, including residential buildings, is shaped not only by the forces of nature but also by activities of humans. A long lifespan is ensured by carrying out ongoing, systematic renovation-repair works. It is thanks to them that buildings derived from past centuries are still being used, and their market attractiveness is not decreasing.

  11. Main challenges of residential areas

    Directory of Open Access Journals (Sweden)

    Oana Luca

    2017-06-01

    Full Text Available The present article is a position paper aiming to initiate a professional debate related to the aspects related to the urban dysfunctions leading to the wear of the residential areas. The paper proposes a definition of the wear process, identify the main causes leading to its occurrence and propose a number of solutions to neutralise the dysfunctions. The three wearing phases of residential areas components are emphasized, exploring their lifecycle. In order to perform the study of urban wear, the status of the residential areas components can be established and monitored, and also the variables of the function that can mathematically model the specific wear process may be considered. The paper is considered a first step for the model adjustment, to be tested and validated in the following steps. Based on the mathematical method and model, there can be created, in a potential future research, the possibility of determining the precarity degree for residential areas/neighbourhoods and cities, by minimising the subjective component of the analyses preceding the decision for renovation or regeneration.

  12. Convergence of Residential Gateway Technology

    NARCIS (Netherlands)

    Hartog, F.T.H. den; Balm, M.; Jong, C.M. de; Kwaaitaal, J.J.B.

    2004-01-01

    A new OSI-based model is described that can be used for the classification of residential gateways. It is applied to analyze current gateway solutions and draw evolutionary paths for the medium to long term. From this it is concluded that particularly set-top boxes and broadband modems, as opposed

  13. Convergence of residential gateway technology

    NARCIS (Netherlands)

    Hartog, den F.T.H.; Balm, M.; Jong, de C.M.; Kwaaitaal, J.J.B.

    2004-01-01

    A new OSI-based model is described that can be used for the classification of residential gateways. It is applied to analyze current gateway solutions and draw evolutionary paths for the medium to long term. From this it is concluded that particularly set-top boxes and broadband modems, as opposed

  14. Trends of Sustainable Residential Architecture

    OpenAIRE

    Narvydas, A

    2014-01-01

    The article is based on Master’s research conducted during Scottish Housing Expo 2010. The aim of the research was to determine the prevailing trends in sustainable residential architecture. Each trend can be described by features detected during visual and technical observation of project data. Based on that architects may predict possible problems related to a specific trend.

  15. Reduce tax on residential mobility

    NARCIS (Netherlands)

    van Ewijk, C.; van Leuvensteijn, M.

    2010-01-01

    How can Europe increase structural growth? This column argues that labour market flexibility is key. As a major barrier to labour movement is rigidity in the housing market, abolishing transfer taxes on residential property could result in gains of up to 0.4% of GDP.

  16. Zones 30 : urban residential areas.

    NARCIS (Netherlands)

    2006-01-01

    Sustainable Safety uses a road categorization in which through traffic is concentrated on motorways and other main roads. In residential areas, which have a living, shopping, or work function, through traffic is discouraged by setting a speed limit of 30 km/h, and by speed reducing measures such as

  17. The effects of the late 2000s global financial crisis on Australia’s construction demand

    Directory of Open Access Journals (Sweden)

    Heng Jiang

    2013-09-01

    Full Text Available An accurate measurement of the impacts of external shocks on construction demand will enable construction industry policymakers and developers to make allowances for future occurrences and advance the construction industry in a sustainable manner. This paper aims to measurethe dynamic effects of the late 2000s global financial crisis on the level of demand in the Australian construction industry. The vector error correction (VEC model with intervention indicators is employed to estimate the external impact from the crisis on a macro-level construction economic indicator, namely construction demand. The methodology comprises six main stages to produce appropriate VEC models that describe the characteristics of the underlying process. Research findings suggestthat overall residential and non-residential construction demand were affected significantly by the recent crisis and seasonality. Non-residentialconstruction demand was disrupted more than residential construction demand at the crisis onset. The residential constructionindustry is more reactive and is able to recover faster following the crisis in comparison with the non-residential industry. The VEC model with intervention indicators developed in this study can be used as an experiment for an advanced econometric method. This can be used to analyse the effects of special eventsand factors not only on construction but also on other industries.

  18. Residential cogeneration systems: review of the current technology

    International Nuclear Information System (INIS)

    Onovwiona, H.I.; Ugursal, V.I.

    2006-01-01

    There is a growing potential for the use of micro-cogeneration systems in the residential sector because they have the ability to produce both useful thermal energy and electricity from a single source of fuel such as oil or natural gas. In cogeneration systems, the efficiency of energy conversion increases to over 80% as compared to an average of 30-35% for conventional fossil fuel fired electricity generation systems. This increase in energy efficiency can result in lower costs and reduction in greenhouse gas emissions when compared to the conventional methods of generating heat and electricity separately. Cogeneration systems and equipment suitable for residential and small-scale commercial applications like hospitals, hotels or institutional buildings are available, and many new systems are under development. These products are used or aimed for meeting the electrical and thermal demands of a building for space and domestic hot water heating, and potentially, absorption cooling. The aim of this paper is to provide an up-to-date review of the various cogeneration technologies suitable for residential applications. The paper considers the various technologies available and under development for residential, i.e. single-family ( e ) and multi-family (10-30kW t ) applications, with focus on single-family applications. Technologies suitable for residential cogeneration systems include reciprocating internal combustion engine, micro-turbine, fuel cell, and reciprocating external combustion Stirling engine based cogeneration systems. The paper discusses the state of development and the performance, environmental benefits, and costs of these technologies. (author)

  19. Community Design Parameters and the Performance of Residential Cogeneration Systems

    Directory of Open Access Journals (Sweden)

    Hazem Rashed-Ali

    2012-11-01

    Full Text Available The integration of cogeneration systems in residential and mixed-use communities has the potential of reducing their energy demand and harmful emissions and can thus play asignificant role in increasing their environmental sustainability. This study investigated the impact of selected planning and architectural design parameters on the environmental and economic performances of centralized cogeneration systems integrated into residential communities in U.S.cold climates. Parameters investigated include: 1 density, 2 use mix, 3 street configuration, 4 housing typology, 5 envelope and building systems’ efficiencies, and 6 passive solar energyutilization. The study integrated several simulation tools into a procedure to assess the impact of each design parameter on the cogeneration system performance. This assessment procedure included: developing a base-line model representing typical design characteristics of U.S. residential communities; assessing the cogeneration system’s performance within this model using three performance indicators: percentage of reduction in primary energy use, percentage of reduction in CO2 emissions; and internal rate of return; assessing the impact of each parameter on the system performance through developing 46 design variations of the base-line model representing potential changes in each parameter and calculating the three indicators for each variation; and finally, using a multi-attribute decision analysis methodology to evaluate the relative impact of each parameter on the cogeneration system performance. The study results show that planning parameters had a higher impact on the cogeneration system performance than architectural ones. Also, a significant correlation was found between design characteristics identified as favorable for the cogeneration system performance and those of sustainable residential communities. These include high densities, high use mix, interconnected street networks, and mixing of

  20. Residential solar hot water

    Energy Technology Data Exchange (ETDEWEB)

    1982-06-01

    This report examines the feasibility of using solar energy to preheat domestic water coming from the city supply at a temperature of approximately 4{degree}C. Four solar collectors totalling 7 m{sup 2} were installed on a support structure facing south at an angle of 60{degree} from the horizontal. The system worked most efficiently in the spring and early summer when the combination of long hours of sunshine, clean air and clear skies allowed for maximum availability of solar radiation. Performance dropped in late summer and fall mainly due to cloudier weather conditions. The average temperature in the storage tank over the 10 months of operation was 42{degree}C, ranging from a high of 83{degree}C in July to a low of 6{degree}C in November. The system provided a total of 7.1 GJ, which is approximately one-third the annual requirement for domestic hot water heating. At the present time domestic use of solar energy to heat water does not appear to be economically viable. High capital costs are the main problem. As a solar system with present day technology can only be expected to meet half to two-thirds of the hot water energy demand the savings are not sufficient for the system to pay for itself within a few years. 5 figs.

  1. Optimal load scheduling in commercial and residential microgrids

    Science.gov (United States)

    Ganji Tanha, Mohammad Mahdi

    Residential and commercial electricity customers use more than two third of the total energy consumed in the United States, representing a significant resource of demand response. Price-based demand response, which is in response to changes in electricity prices, represents the adjustments in load through optimal load scheduling (OLS). In this study, an efficient model for OLS is developed for residential and commercial microgrids which include aggregated loads in single-units and communal loads. Single unit loads which include fixed, adjustable and shiftable loads are controllable by the unit occupants. Communal loads which include pool pumps, elevators and central heating/cooling systems are shared among the units. In order to optimally schedule residential and commercial loads, a community-based optimal load scheduling (CBOLS) is proposed in this thesis. The CBOLS schedule considers hourly market prices, occupants' comfort level, and microgrid operation constraints. The CBOLS' objective in residential and commercial microgrids is the constrained minimization of the total cost of supplying the aggregator load, defined as the microgrid load minus the microgrid generation. This problem is represented by a large-scale mixed-integer optimization for supplying single-unit and communal loads. The Lagrangian relaxation methodology is used to relax the linking communal load constraint and decompose the independent single-unit functions into subproblems which can be solved in parallel. The optimal solution is acceptable if the aggregator load limit and the duality gap are within the bounds. If any of the proposed criteria is not satisfied, the Lagrangian multiplier will be updated and a new optimal load schedule will be regenerated until both constraints are satisfied. The proposed method is applied to several case studies and the results are presented for the Galvin Center load on the 16th floor of the IIT Tower in Chicago.

  2. ISO New England: Results of Ancillary Service Pilot Programs, Alternative Technology Regulation Pilot Program and Demand Response Reserves Pilot Program

    Energy Technology Data Exchange (ETDEWEB)

    Lowell, Jon [ISO New England, Holyoke, MA (United States); Yoshimura, Henry [ISO New England, Holyoke, MA (United States)

    2011-10-26

    This PowerPoint presentation compares performance of pilot program assets and generation resources in alternative technology regulation and demand response reserves for flywheels and residential electric thermal storage.

  3. Cost function approach for estimating derived demand for composite wood products

    Science.gov (United States)

    T. C. Marcin

    1991-01-01

    A cost function approach was examined for using the concept of duality between production and input factor demands. A translog cost function was used to represent residential construction costs and derived conditional factor demand equations. Alternative models were derived from the translog cost function by imposing parameter restrictions.

  4. Academic Demands Are Associated with Reduced Alcohol Consumption by College Students: Evidence from a Daily Analysis

    Science.gov (United States)

    Butler, Adam B.; Spencer, Desiree; Dodge, Kama

    2011-01-01

    There is little empirical evidence linking academic demands or rigor to alcohol consumption by college students. In a 3-week daily study of full-time college students at a public, residential campus in the United States, both current day and next day's academic demands were negatively related to alcohol consumption, and these relationships were…

  5. GridLAB-D Technical Support Document: Residential End-Use Module Version 1.0

    Energy Technology Data Exchange (ETDEWEB)

    Taylor, Zachary T.; Gowri, Krishnan; Katipamula, Srinivas

    2008-07-31

    1.0 Introduction The residential module implements the following end uses and characteristics to simulate the power demand in a single family home: • Water heater • Lights • Dishwasher • Range • Microwave • Refrigerator • Internal gains (plug loads) • House (heating/cooling loads) The house model considers the following four major heat gains/losses that contribute to the building heating/cooling load: 1. Conduction through exterior walls, roof and fenestration (based on envelope UA) 2. Air infiltration (based on specified air change rate) 3. Solar radiation (based on CLTD model and using tmy data) 4. Internal gains from lighting, people, equipment and other end use objects. The Equivalent Thermal Parameter (ETP) approach is used to model the residential loads and energy consumption. The following sections describe the modeling assumptions for each of the above end uses and the details of power demand calculations in the residential module.

  6. Does Knowledge Contribute to the Acceptance of Demand Response?

    Directory of Open Access Journals (Sweden)

    Salla Annala

    2014-03-01

    Full Text Available More flexible demand side would benefit the electricity markets, networks and sustainable power generation in many ways. The success of demand response programs, however, relies on consumer acceptance. This paper reviews previous studies about acceptability of different kinds of residential demand response programs. Furthermore, it discusses whether consumers who are more aware of the principles and benefits of demand response have more positive attitudes towards demand response programs. The results of the literature review and two survey studies suggest that price and security of supply are currently bigger motives to change consumption behaviour than environmental issues and that the savings expected to trigger any action (and to lead to lasting change in behaviour may be relatively high. Therefore, the framing of demand response programs goals may affect the acceptance. Additionally, consumers seem to prefer simple price structures that remain constant for a long time to more dynamic options.

  7. Oil demand in North America: 1980-2020

    International Nuclear Information System (INIS)

    Ghouri, S.S.

    2001-01-01

    This paper first analyses price and income elasticity of oil demand in the United States, Canada and Mexico for the period 1980-99. Economic activity is the main driving force that influences oil consumption in each country. Changes in oil consumption generally lagged by a few years before the full impact of changes in oil prices was realized. Consumers in the short run are constrained by technological and other barriers and, therefore, less sensitive to changes in oil prices; however, they are more responsive in the long run - though response is still inelastic. The use of advanced technology facilitated these countries to use less oil over time. The paper then looks at demand over the next 20 years. The best-fitting model predicts that, by the end of 2020 (reference case), the USA, Canada and Mexico will respectively consume 24,900, 2,596 and 2,321 thousand barrels daily, compared with 19,519, 1,943 and 1,970 thousand b/d in 1999. The model forecasts economic slowdown during 2000/2002. The USA and Canada are expected to recover quickly, while Mexico will take longer. (author)

  8. Residential versus Communal Combination of Photovoltaic and Battery in Smart Energy Systems

    DEFF Research Database (Denmark)

    Marczinkowski, Hannah Mareike; Østergaard, Poul Alberg

    2018-01-01

    and involving the consumers. The importance of minimizing flows to and from the grid as a result from fluctuating energy sources is addressed in both approaches. While residential batteries improve the individual household electricity supply, a communal battery would further regulate other inputs and demands....

  9. Wood products used for residential repair and remodeling in the United States, 1991

    Science.gov (United States)

    D. B. McKeever; R. G. Anderson

    Large amounts of lumber and wood panel products are used annually for the repair and remodeling of residential structures and properties in the United States. In response to the need by government and industry for detailed information on this important market for timber products, a study was conducted by the Timber Demand and Technology...

  10. 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

  11. Residential Consumption Scheduling Based on Dynamic User Profiling

    Science.gov (United States)

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

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

  12. Regional Energy Demand Responses To Climate Change. Methodology And Application To The Commonwealth Of Massachusetts

    International Nuclear Information System (INIS)

    Amato, A.D.; Ruth, M.; Kirshen, P.; Horwitz, J.

    2005-01-01

    Climate is a major determinant of energy demand. Changes in climate may alter energy demand as well as energy demand patterns. This study investigates the implications of climate change for energy demand under the hypothesis that impacts are scale dependent due to region-specific climatic variables, infrastructure, socioeconomic, and energy use profiles. In this analysis we explore regional energy demand responses to climate change by assessing temperature-sensitive energy demand in the Commonwealth of Massachusetts. The study employs a two-step estimation and modeling procedure. The first step evaluates the historic temperature sensitivity of residential and commercial demand for electricity and heating fuels, using a degree-day methodology. We find that when controlling for socioeconomic factors, degree-day variables have significant explanatory power in describing historic changes in residential and commercial energy demands. In the second step, we assess potential future energy demand responses to scenarios of climate change. Model results are based on alternative climate scenarios that were specifically derived for the region on the basis of local climatological data, coupled with regional information from available global climate models. We find notable changes with respect to overall energy consumption by, and energy mix of the residential and commercial sectors in the region. On the basis of our findings, we identify several methodological issues relevant to the development of climate change impact assessments of energy demand

  13. Regional Energy Demand Responses To Climate Change. Methodology And Application To The Commonwealth Of Massachusetts

    Energy Technology Data Exchange (ETDEWEB)

    Amato, A.D.; Ruth, M. [Environmental Policy Program, School of Public Policy, University of Maryland, 3139 Van Munching Hall, College Park, MD (United States); Kirshen, P. [Department of Civil and Environmental Engineering, Tufts University, Anderson Hall, Medford, MA (United States); Horwitz, J. [Climatological Database Consultant, Binary Systems Software, Newton, MA (United States)

    2005-07-01

    Climate is a major determinant of energy demand. Changes in climate may alter energy demand as well as energy demand patterns. This study investigates the implications of climate change for energy demand under the hypothesis that impacts are scale dependent due to region-specific climatic variables, infrastructure, socioeconomic, and energy use profiles. In this analysis we explore regional energy demand responses to climate change by assessing temperature-sensitive energy demand in the Commonwealth of Massachusetts. The study employs a two-step estimation and modeling procedure. The first step evaluates the historic temperature sensitivity of residential and commercial demand for electricity and heating fuels, using a degree-day methodology. We find that when controlling for socioeconomic factors, degree-day variables have significant explanatory power in describing historic changes in residential and commercial energy demands. In the second step, we assess potential future energy demand responses to scenarios of climate change. Model results are based on alternative climate scenarios that were specifically derived for the region on the basis of local climatological data, coupled with regional information from available global climate models. We find notable changes with respect to overall energy consumption by, and energy mix of the residential and commercial sectors in the region. On the basis of our findings, we identify several methodological issues relevant to the development of climate change impact assessments of energy demand.

  14. Demand Response as a System Reliability Resource

    Energy Technology Data Exchange (ETDEWEB)

    Eto, Joseph H. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division; Lewis, Nancy Jo [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division; Watson, David [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division; Kiliccote, Sila [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division; Auslander, David [Univ. of California, Berkeley, CA (United States); Paprotny, Igor [Univ. of California, Berkeley, CA (United States); Makarov, Yuri [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2012-12-31

    The Demand Response as a System Reliability Resource project consists of six technical tasks: • Task 2.1. Test Plan and Conduct Tests: Contingency Reserves Demand Response (DR) Demonstration—a pioneering demonstration of how existing utility load-management assets can provide an important electricity system reliability resource known as contingency reserve. • Task 2.2. Participation in Electric Power Research Institute (EPRI) IntelliGrid—technical assistance to the EPRI IntelliGrid team in developing use cases and other high-level requirements for the architecture. • Task 2.3. Research, Development, and Demonstration (RD&D) Planning for Demand Response Technology Development—technical support to the Public Interest Energy Research (PIER) Program on five topics: Sub-task 1. PIER Smart Grid RD&D Planning Document; Sub-task 2. System Dynamics of Programmable Controllable Thermostats; Sub-task 3. California Independent System Operator (California ISO) DR Use Cases; Sub-task 4. California ISO Telemetry Requirements; and Sub-task 5. Design of a Building Load Data Storage Platform. • Task 2.4. Time Value of Demand Response—research that will enable California ISO to take better account of the speed of the resources that it deploys to ensure compliance with reliability rules for frequency control. • Task 2.5. System Integration and Market Research: Southern California Edison (SCE)—research and technical support for efforts led by SCE to conduct demand response pilot demonstrations to provide a contingency reserve service (known as non-spinning reserve) through a targeted sub-population of aggregated residential and small commercial customers enrolled in SCE’s traditional air conditioning (AC) load cycling program, the Summer Discount Plan. • Task 2.6. Demonstrate Demand Response Technologies: Pacific Gas and Electric (PG&E)—research and technical support for efforts led by PG&E to conduct a demand response pilot demonstration to provide non

  15. Stochastic analysis of residential micro combined heat and power system

    DEFF Research Database (Denmark)

    Karami, H.; Sanjari, M. J.; Gooi, H. B.

    2017-01-01

    In this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm...... algorithm. The optimized scheduling of different energy resources is listed in an efficient look-up table for all time intervals. The effects of time of use and the battery efficiency and its size are investigated on the operating cost of the hybrid energy system. The results of this paper are expected...

  16. The optimization of demand response programs in smart grids

    International Nuclear Information System (INIS)

    Derakhshan, Ghasem; Shayanfar, Heidar Ali; Kazemi, Ahad

    2016-01-01

    The potential to schedule portion of the electricity demand in smart energy systems is clear as a significant opportunity to enhance the efficiency of the grids. Demand response is one of the new developments in the field of electricity which is meant to engage consumers in improving the energy consumption pattern. We used Teaching & Learning based Optimization (TLBO) and Shuffled Frog Leaping (SFL) algorithms to propose an optimization model for consumption scheduling in smart grid when payment costs of different periods are reduced. This study conducted on four types residential consumers obtained in the summer for some residential houses located in the centre of Tehran city in Iran: first with time of use pricing, second with real-time pricing, third one with critical peak pricing, and the last consumer had no tariff for pricing. The results demonstrate that the adoption of demand response programs can reduce total payment costs and determine a more efficient use of optimization techniques. - Highlights: •An optimization model for the demand response program is made. •TLBO and SFL algorithms are applied to reduce payment costs in smart grid. •The optimal condition is provided for the maximization of the social welfare problem. •An application to some residential houses located in the centre of Tehran city in Iran is demonstrated.

  17. Residential mobility and childhood leukemia.

    Science.gov (United States)

    Amoon, A T; Oksuzyan, S; Crespi, C M; Arah, O A; Cockburn, M; Vergara, X; Kheifets, L

    2018-07-01

    Studies of environmental exposures and childhood leukemia studies do not usually account for residential mobility. Yet, in addition to being a potential risk factor, mobility can induce selection bias, confounding, or measurement error in such studies. Using data collected for California Powerline Study (CAPS), we attempt to disentangle the effect of mobility. We analyzed data from a population-based case-control study of childhood leukemia using cases who were born in California and diagnosed between 1988 and 2008 and birth certificate controls. We used stratified logistic regression, case-only analysis, and propensity-score adjustments to assess predictors of residential mobility between birth and diagnosis, and account for potential confounding due to residential mobility. Children who moved tended to be older, lived in housing other than single-family homes, had younger mothers and fewer siblings, and were of lower socioeconomic status. Odds ratios for leukemia among non-movers living mobility, including dwelling type, increased odds ratios for leukemia to 2.61 (95% CI: 1.76-3.86) for living mobility of childhood leukemia cases varied by several sociodemographic characteristics, but not by the distance to the nearest power line or calculated magnetic fields. Mobility appears to be an unlikely explanation for the associations observed between power lines exposure and childhood leukemia. Copyright © 2018 Elsevier Inc. All rights reserved.

  18. Power Scheduling Method for Demand Response based on Home Energy Management System using Stochastic Process

    OpenAIRE

    Moreno, Pablo; García, Marcelo

    2016-01-01

    The increase in energy consumption, especially in residential consumers, means that the electrical system should grow at pair, in infrastructure and installed capacity, the energy prices vary to meet these needs, so this paper uses the methodology of demand response using stochastic methods such as Markov, to optimize energy consumption of residential users. It is necessary to involve customers in the electrical system because in this way it can be verified the actual amount of electric charg...

  19. On-Demand Telemetry

    Data.gov (United States)

    National Aeronautics and Space Administration — AFRC has previously investigated the use of Network Based Telemetry. We will be building on that research to enable On-Demand Telemetry. On-Demand Telemetry is a way...

  20. Aggregate electricity demand in South Africa: Conditional forecasts to 2030

    Energy Technology Data Exchange (ETDEWEB)

    Inglesi, Roula [Department of Economics, Faculty of Economic and Management Sciences, University of Pretoria, Main Campus, Pretoria 0002 (South Africa)

    2010-01-15

    In 2008, South Africa experienced a severe electricity crisis. Domestic and industrial electricity users had to suffer from black outs all over the country. It is argued that partially the reason was the lack of research on energy, locally. However, Eskom argues that the lack of capacity can only be solved by building new power plants. The objective of this study is to specify the variables that explain the electricity demand in South Africa and to forecast electricity demand by creating a model using the Engle-Granger methodology for co-integration and Error Correction models. By producing reliable results, this study will make a significant contribution that will improve the status quo of energy research in South Africa. The findings indicate that there is a long run relationship between electricity consumption and price as well as economic growth/income. The last few years in South Africa, price elasticity was rarely taken into account because of the low and decreasing prices in the past. The short-run dynamics of the system are affected by population growth, too After the energy crisis, Eskom, the national electricity supplier, is in search for substantial funding in order to build new power plants that will help with the envisaged lack of capacity that the company experienced. By using two scenarios for the future of growth, this study shows that the electricity demand will drop substantially due to the price policies agreed - until now - by Eskom and the National Energy Regulator South Africa (NERSA) that will affect the demand for some years. (author)

  1. Aggregate electricity demand in South Africa: Conditional forecasts to 2030

    International Nuclear Information System (INIS)

    Inglesi, Roula

    2010-01-01

    In 2008, South Africa experienced a severe electricity crisis. Domestic and industrial electricity users had to suffer from black outs all over the country. It is argued that partially the reason was the lack of research on energy, locally. However, Eskom argues that the lack of capacity can only be solved by building new power plants. The objective of this study is to specify the variables that explain the electricity demand in South Africa and to forecast electricity demand by creating a model using the Engle-Granger methodology for co-integration and Error Correction models. By producing reliable results, this study will make a significant contribution that will improve the status quo of energy research in South Africa. The findings indicate that there is a long run relationship between electricity consumption and price as well as economic growth/income. The last few years in South Africa, price elasticity was rarely taken into account because of the low and decreasing prices in the past. The short-run dynamics of the system are affected by population growth, too After the energy crisis, Eskom, the national electricity supplier, is in search for substantial funding in order to build new power plants that will help with the envisaged lack of capacity that the company experienced. By using two scenarios for the future of growth, this study shows that the electricity demand will drop substantially due to the price policies agreed - until now - by Eskom and the National Energy Regulator South Africa (NERSA) that will affect the demand for some years. (author)

  2. Demand response in liberalized electricity markets - the Nordic case

    International Nuclear Information System (INIS)

    Bjoerndal, Mette; Lund, Arne-Christian; Rud, Linda

    2005-01-01

    The liberalization of the Nordic electricity markets started with the deregulation of the Norwegian market, and the later inclusion of Sweden, Denmark and Finland in The Nord Pool area has provided a truly international marketplace, where prices are quoted for all the Nordic countries except Iceland. The structure of the Norwegian supply side was a favorable starting point for the liberalization process with many independent (hydropower) producers and, following the Energy Act of 1991, the vertical separation of competitive production on the one hand and regulated transmission / distribution one the other hand (implemented as a requirement of separation of financial accounts). Moreover, since the mid 1990s (unregulated) retail competition has provided market based price-signals to customers, even to individual households. In this paper we will focus on the potential benefits of demand flexibility in order to enhance the performance of the electricity market in attaining optimal operation and development of the electricity system. These benefits will depend on the price elasticity of the demand. However, whether it is possible to act on price changes also depends on the information provided to and from the customers. Especially for short run flexibility, this may require two way communication devises for larger customer groups, which raises questions like who is to pay for the investments needed, and who will benefit from them. Demand response also depends on the marginal signals resulting from the different contracts offered to the customers. Today this includes ''variable'' price, spot price (based on Nord Pool Elspot) and fixed price contracts. Customer flexibility depends on the possibility of substitution for instance to other fuels / alternative energy provisions. Finally, flexibility will differ between customer classes, for instance households, industry, power intensive industry etc. In this paper we investigate demand response and customer flexibility in

  3. Money Demand in Latvia

    OpenAIRE

    Ivars Tillers

    2004-01-01

    The econometric analysis of the demand for broad money in Latvia suggests a stable relationship of money demand. The analysis of parameter exogeneity indicates that the equilibrium adjustment is driven solely by the changes in the amount of money. The demand for money in Latvia is characterised by relatively high income elasticity typical for the economy in a monetary expansion phase. Due to stability, close fit of the money demand function and rapid equilibrium adjustment, broad money aggreg...

  4. Regionalised tertiary psychiatric residential facilities.

    Science.gov (United States)

    Lesage, Alain; Groden, David; Goldner, Elliot M; Gelinas, Daniel; Arnold, Leslie M

    2008-01-01

    Psychiatric hospitals remain the main venue for long-term mental health care and, despite widespread closures and downsizing, no country that built asylums in the last century has done away with them entirely--with the recent exception of Italy. Differentiated community-based residential alternatives have been developed over the past decades, with staffing levels that range from full-time professional, to daytime only, to part-time/on-call. This paper reviews the characteristics of community-based psychiatric residential care facilities as an alternative to long-term care in psychiatric hospitals. It describes five factors decision makers should consider: 1. number of residential places needed; 2. staffing levels; 3. physical setting; 4. programming; and 5. governance and financing. In Italy, facilities with full-time professional staff have been developed since the mid-1990s to accommodate the last cohorts of patients discharged from psychiatric hospitals. In the United Kingdom, experiments with hostel wards since the 1980s have shown that home-like, small-scale facilities with intensive treatment and rehabilitation programming can be effective for the most difficult-to-place patients. More recently in Australia, Community Care Units (CCUs) have been applying this concept. In the Canadian province of British Columbia (BC), Tertiary Psychiatric Residential Facilities (TPRFs) have been developed as part of an effort to regionalise health and social services and downsize and ultimately close its only psychiatric hospital. This type of service must be further developed in addition to the need for forensic, acute-care and intermediate-level beds, as well as for community-based care such as assertive community treatment and intensive case management. All these types of services, together with long-term community-based residential care, constitute the elements of a balanced mental health care system. As part of a region's balanced mental health care plan, these Tertiary

  5. Optimal Scheduling of Residential Microgrids Considering Virtual Energy Storage System

    Directory of Open Access Journals (Sweden)

    Weiliang Liu

    2018-04-01

    Full Text Available The increasingly complex residential microgrids (r-microgrid consisting of renewable generation, energy storage systems, and residential buildings require a more intelligent scheduling method. Firstly, aiming at the radiant floor heating/cooling system widely utilized in residential buildings, the mathematical relationship between the operative temperature and heating/cooling demand is established based on the equivalent thermodynamic parameters (ETP model, by which the thermal storage capacity is analyzed. Secondly, the radiant floor heating/cooling system is treated as virtual energy storage system (VESS, and an optimization model based on mixed-integer nonlinear programming (MINLP for r-microgrid scheduling is established which takes thermal comfort level and economy as the optimization objectives. Finally, the optimal scheduling results of two typical r-microgrids are analyzed. Case studies demonstrate that the proposed scheduling method can effectively employ the thermal storage capacity of radiant floor heating/cooling system, thus lowering the operating cost of the r-microgrid effectively while ensuring the thermal comfort level of users.

  6. The Short-run Impact on Total Factor Productivity Growth

    DEFF Research Database (Denmark)

    Fosse, Henrik Barslund; Jacobsen, Joannes; Højbjerg Jacobsen, Rasmus

    This project was prepared for The Danish Agency for Science, Technology and Innovation (DASTI) under The Ministry of Science, Innovation and Higher Education. The scope of the project was to conduct the first comprehensive productivity impact assessment of the Danish system of innovation...

  7. Short-run Exchange-Rate Dynamics: Theory and Evidence

    DEFF Research Database (Denmark)

    Carlson, John A.; Dahl, Christian Møller; Osler, Carol L.

    Recent research has revealed a wealth of information about the microeconomics of currency markets and thus the determination of exchange rates at short horizons. This information is valuable to us as scientists since, like evidence of macroeconomic regularities, it can provide critical guidance...... of currency markets, it accurately reflects the constraints and objectives faced by the major participants, and it fits key stylized facts concerning returns and order flow. With respect to macroeconomics, the model is consistent with most of the major puzzles that have emerged under floating rates....

  8. Leviathan taxes in the short-run - A letter

    NARCIS (Netherlands)

    Tol, R.S.J.

    2012-01-01

    A cap is imposed on the carbon tax rate if the total tax revenue is not allowed to increase. Using recent data on the carbon-intensity of the economy and the overall tax take, I show that this cap constrains almost any climate policy in at least some countries. A larger number of countries, emitting

  9. ECONOMETRIC ANALYSIS OF SHORT-RUN AND LONG-RUN ...

    African Journals Online (AJOL)

    IBUKUN

    1Onoja, A. O. , 2Achike, A. I. and 3Ajibade, T. B.*. 1Department of ... Bank Data Base (1971-2011) which were subjected to econometric tests before applying the ... workforce is involved in agriculture and the sector makes up 32% of the continent‟s GDP. (Halilu ... solving the problems of unemployment and poverty. One of ...

  10. Short-Run Asset Selection using a Logistic Model

    Directory of Open Access Journals (Sweden)

    Walter Gonçalves Junior

    2011-06-01

    Full Text Available Investors constantly look for significant predictors and accurate models to forecast future results, whose occasional efficacy end up being neutralized by market efficiency. Regardless, such predictors are widely used for seeking better (and more unique perceptions. This paper aims to investigate to what extent some of the most notorious indicators have discriminatory power to select stocks, and if it is feasible with such variables to build models that could anticipate those with good performance. In order to do that, logistical regressions were conducted with stocks traded at Bovespa using the selected indicators as explanatory variables. Investigated in this study were the outputs of Bovespa Index, liquidity, the Sharpe Ratio, ROE, MB, size and age evidenced to be significant predictors. Also examined were half-year, logistical models, which were adjusted in order to check the potential acceptable discriminatory power for the asset selection.

  11. Reference-based transitions in short-run price elasticity

    NARCIS (Netherlands)

    K.H. Pauwels (Koen); Ph.H.B.F. Franses (Philip Hans); S. Srinivasan (Shuba)

    2003-01-01

    textabstractMarketing literature has long recognized that price response need not be monotonic and symmetric, but has yet to provide generalizable market-level insights on reference price type, asymmetric thresholds and sign and magnitude of elasticity transitions. In this paper, we introduce smooth

  12. Short run economic impact of State University of Londrina

    Directory of Open Access Journals (Sweden)

    José Tarocco Filho

    2014-06-01

    Full Text Available The present study aimed to analyze the inter-regional economic impact of short-term, State University of Londrina and their local impacts and in 2006, in respect of employment and income. Through the analysis of input-output multipliers employment and earnings, employment generation and income indexes and link back and forth was calculated. Through the results found that the Public Education employs 6.19% of employed staff and is responsible for 12.27% of earnings generated in the county. The Public Education excelled in creating jobs in Londrina, which along with the sectors of Education Services and Commodities (13, was the fourth biggest indicator, trailing sectors: Public Administration, Commerce and Securities Industry and Miscellaneous. We found that the employment multiplier is 1.25 and their ability to generate earnings through direct effect in the city is the third largest R $ 368,153 million.

  13. Power plant site evaluation, electric energy demand forecasts - Douglas Point Site. Volume 3. Final report

    International Nuclear Information System (INIS)

    Wilson, J.W.

    1975-07-01

    This is part of a series of reports containing an evaluation of the proposed Douglas Point nuclear generating station site located on the Potomac River in Maryland 30 miles south of Washington, D.C. This report contains chapters on the Potomac Electric Power Company's market, forecasting future demand, modelling, a residential demand model, a nonresidential demand model, the Southern Maryland Electric Cooperative Model, short term predictive accuracy, and total system requirements

  14. Methodology of demand forecast by market analysis of electric power and load curves

    International Nuclear Information System (INIS)

    Barreiro, C.J.; Atmann, J.L.

    1989-01-01

    A methodology for demand forecast of consumer classes and their aggregation is presented. An analysis of the actual attended market can be done by appropriate measures and load curves studies. The suppositions for the future market behaviour by consumer classes (industrial, residential, commercial, others) are shown, and the actions for optimise this market are foreseen, obtained by load curves modulations. The process of future demand determination is obtained by the appropriate aggregation of this segmented demands. (C.G.C.)

  15. Assessing the significance of climate and community factors on urban water demand

    OpenAIRE

    Md Mahmudul Haque; Prasanna Egodawatta; Ataur Rahman; Ashantha Goonetilleke

    2015-01-01

    Ensuring adequate water supply to urban areas is a challenging task due to factors such as rapid urban growth, increasing water demand and climate change. In developing a sustainable water supply system, it is important to identify the dominant water demand factors for any given water supply scheme. This paper applies principal components analysis to identify the factors that dominate residential water demand using the Blue Mountains Water Supply System in Australia as a case study. The resul...

  16. Energy options for residential buildings assessment

    International Nuclear Information System (INIS)

    Rezaie, Behnaz; Dincer, Ibrahim; Esmailzadeh, Ebrahim

    2013-01-01

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

  17. Electricity demand forecasting techniques

    International Nuclear Information System (INIS)

    Gnanalingam, K.

    1994-01-01

    Electricity demand forecasting plays an important role in power generation. The two areas of data that have to be forecasted in a power system are peak demand which determines the capacity (MW) of the plant required and annual energy demand (GWH). Methods used in electricity demand forecasting include time trend analysis and econometric methods. In forecasting, identification of manpower demand, identification of key planning factors, decision on planning horizon, differentiation between prediction and projection (i.e. development of different scenarios) and choosing from different forecasting techniques are important

  18. Residential care : Dutch and Italian residents of residential care facilities compared

    NARCIS (Netherlands)

    de Heer-Wunderink, Charlotte; Caro-Nienhuis, Annemarie D.; Sytema, Sjoerd; Wiersma, Durk

    2008-01-01

    Aims - Characteristics of patients living in residential care facilities and the availability of mental hospital- and residential beds in Italy and The Netherlands were compared to assess whether differences in the process of deinstitutionalisation have influenced the composition of their

  19. The relation between residential property and its surroundings and day- and night-time residential burglary

    NARCIS (Netherlands)

    Montoya, Lorena; Junger, Marianne; Ongena, Yfke

    This article examines how residential property and its surroundings influence day- and night-time residential burglary. Crime Prevention Through Environmental Design (CPTED) principles of territoriality, surveillance, access control, target hardening, image maintenance, and activity support underpin

  20. The Relation Between Residential Property and its Surroundings and Day- and Night-Time Residential Burglary

    NARCIS (Netherlands)

    Montoya, L.; Junger, Marianne; Ongena, Yfke

    This article examines how residential property and its surroundings influence day- and night-time residential burglary. Crime Prevention Through Environmental Design (CPTED) principles of territoriality, surveillance, access control, target hardening, image maintenance, and activity support underpin

  1. Modeling the Demand for Family and General Takaful in Malaysia (A Comparative Study: ARDL Approach to Cointegration

    Directory of Open Access Journals (Sweden)

    Weni Hawariyuni

    2012-01-01

    Full Text Available Objective- Nowadays, numerous studies focus on the determinant of the demand for takaful, either family or general takaful in Malaysia. In this respect, these studies employ economic and socio-demographic variables to examine the determinants of takaful. They found that income, interest rates, financial development, pensions, stocks, price of insurance, life expectancy, dependency ratio, education, and age have positive on determinants of takaful. However, previous tudies have found that inflation, savings, and unemployment rate have negative relationship with the determinant of takaful in Malaysia. This study attempts to examine the determinants of the demand for family takaful and general takaful for comparative study in Malaysia for the period of 1988 to 2010. It employs economic and socio-demographic variables to measure these determinants.Methods-Using time series data, this study applies the Autoregressive Distributive Lag (ARDL approach to cointegration to examine the determinants of the demand for family takaful and general takaful in the short and long run.Result-The findings indicate that the economic and socio-demographic variables such as income, and education have positive relationship with the demand for family takaful in the short run, but not in the long run.Conclusion-Meanwhile, it also indicates that income and education have no relationship with demand for general takaful in Malaysia in the short run and long run. It indicates that if there is an increase in income, people tend to buy more family takaful of STMB. At the same time, the educated people already aware of the takaful products, they may necessarily purchase family takaful than life insurance.

  2. A Framework for Sustainable Urban Water Management through Demand and Supply Forecasting: The Case of Istanbul

    Directory of Open Access Journals (Sweden)

    Murat Yalçıntaş

    2015-08-01

    Full Text Available The metropolitan city of Istanbul is becoming overcrowded and the demand for clean water is steeply rising in the city. The use of analytical approaches has become more and more critical for forecasting the water supply and demand balance in the long run. In this research, Istanbul’s water supply and demand data is collected for the period during 2006 and 2014. Then, using an autoregressive integrated moving average (ARIMA model, the time series water supply and demand forecasting model is constructed for the period between 2015 and 2018. Three important sustainability metrics such as water loss to supply ratio, water loss to demand ratio, and water loss to residential demand ratio are also presented. The findings show that residential water demand is responsible for nearly 80% of total water use and the consumption categories including commercial, industrial, agriculture, outdoor, and others have a lower share in total water demand. The results also show that there is a considerable water loss in the water distribution system which requires significant investments on the water supply networks. Furthermore, the forecasting results indicated that pipeline projects will be critical in the near future due to expected increases in the total water demand of Istanbul. The authors suggest that sustainable management of water can be achieved by reducing the residential water use through the use of water efficient technologies in households and reduction in water supply loss through investments on distribution infrastructure.

  3. Residential Pre-Cooling: Mechanical Cooling and Air-Side Economizers:

    OpenAIRE

    Turner, William J.N; Walker, Iain S.; Roux, Jordan

    2012-01-01

    This study used an advanced airflow, energy and humidity modeling tool to evaluate residential air-side economizers and mechanical pre-cooling strategies using the air conditioner, in all US DOE Climate Zones for a typical new home with ASHRAE Standard 62.2 compliant ventilation. A residential air-side economizer is a large supply fan used for night ventilation. Mechanical pre-cooling used the building air conditioner operating at lower than usual set before the peak demand period. The simula...

  4. Solar + Storage Synergies for Managing Commercial-Customer Demand Charges

    Energy Technology Data Exchange (ETDEWEB)

    Gagnon, P. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Govindarajan, A. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Bird, L. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Barbose, G. L. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Darghouth, N. R. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mills, A. D. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2017-10-18

    Demand charges, which are based on a customer’s maximum demand in kilowatts (kW), are a common element of electricity rate structures for commercial customers. Customer-sited solar photovoltaic (PV) systems can potentially reduce demand charges, but the level of savings is difficult to predict, given variations in demand charge designs, customer loads, and PV generation profiles. Lawrence Berkeley National Laboratory (Berkeley Lab) and the National Renewable Energy Laboratory (NREL) are collaborating on a series of studies to understand how solar PV can impact demand charges. Prior studies in the series examined demand charge reductions from solar on a stand-alone basis for residential and commercial customers. Those earlier analyses found that solar, alone, has limited ability to reduce demand charges depending on the specific design of the demand charge and on the shape of the customer’s load profile. This latest analysis estimates demand charge savings from solar in commercial buildings when co-deployed with behind-the-meter storage, highlighting the complementary roles of the two technologies. The analysis is based on simulated loads, solar generation, and storage dispatch across a wide variety of building types, locations, system configurations, and demand charge designs.

  5. Policy implications of considering pre-commitments in U.S. aggregate energy demand system

    International Nuclear Information System (INIS)

    Rowland, Christopher S.; Mjelde, James W.; Dharmasena, Senarath

    2017-01-01

    Linear approximations of the Generalized Almost Ideal Demand System and Almost Ideal Demand System for U.S. energy are compared to contrast the explicit inclusion and exclusion of pre-committed consumption levels. Results indicate that pre-commitment levels, the quantity of a good that is consumed in the short run with little regard for price, helps to better explain energy demand in the U.S. compared to the system that does not explicitly consider pre-commitments. Policy implications are if pre-commitments are a legitimate assumption, larger price changes are necessary to achieve a given policy objective than if there are no pre-commitments. - Highlights: • Pre-commitments are the quantity that is consumed with little regard for price. • Demand systems with pre-commitment levels better explain energy demand. • Elasticities from assuming pre-commitments are more elastic. • Estimated elasticities apply to discretionary and not pre-commitment consumption. • Pre-commitments require larger price changes to achieve a given policy objective.

  6. Results of a massive experiment on virtual currency endowments and money demand.

    Directory of Open Access Journals (Sweden)

    Nenad Živić

    Full Text Available We use a 575,000-subject, 28-day experiment to investigate monetary policy in a virtual setting. The experiment tests the effect of virtual currency endowments on player retention and virtual currency demand. An increase in endowments of a virtual currency should lower the demand for the currency in the short run. However, in the long run, we would expect money demand to rise in response to inflation in the virtual world. We test for this behavior in a virtual field experiment in the football management game Top11. 575,000 players were selected at random and allocated to different "shards" or versions of the world. The shards differed only in terms of the initial money endowment offered to new players. Money demand was observed for 28 days as players used real money to purchase additional virtual currency. The results indicate that player money purchases were significantly higher in the shards where higher endowments were given. This suggests that a positive change in the money supply in a virtual context leads to inflation and increased money demand, and does so much more quickly than in real-world economies. Differences between virtual and real currency behavior will become more interesting as virtual currency becomes a bigger part of the real economy.

  7. Results of a massive experiment on virtual currency endowments and money demand.

    Science.gov (United States)

    Živić, Nenad; Andjelković, Igor; Özden, Tolga; Dekić, Milovan; Castronova, Edward

    2017-01-01

    We use a 575,000-subject, 28-day experiment to investigate monetary policy in a virtual setting. The experiment tests the effect of virtual currency endowments on player retention and virtual currency demand. An increase in endowments of a virtual currency should lower the demand for the currency in the short run. However, in the long run, we would expect money demand to rise in response to inflation in the virtual world. We test for this behavior in a virtual field experiment in the football management game Top11. 575,000 players were selected at random and allocated to different "shards" or versions of the world. The shards differed only in terms of the initial money endowment offered to new players. Money demand was observed for 28 days as players used real money to purchase additional virtual currency. The results indicate that player money purchases were significantly higher in the shards where higher endowments were given. This suggests that a positive change in the money supply in a virtual context leads to inflation and increased money demand, and does so much more quickly than in real-world economies. Differences between virtual and real currency behavior will become more interesting as virtual currency becomes a bigger part of the real economy.

  8. Taxation, regulation, and addiction: a demand function for cigarettes based on time-series evidence.

    Science.gov (United States)

    Keeler, T E; Hu, T W; Barnett, P G; Manning, W G

    1993-04-01

    This work analyzes the effects of prices, taxes, income, and anti-smoking regulations on the consumption of cigarettes in California (a 25-cent-per-pack state tax increase in 1989 enhances the usefulness of this exercise). Analysis is based on monthly time-series data for 1980 through 1990. Results show a price elasticity of demand for cigarettes in the short run of -0.3 to -0.5 at mean data values, and -0.5 to -0.6 in the long run. We find at least some support for two further hypotheses: that antismoking regulations reduce cigarette consumption, and that consumers behave consistently with the model of rational addiction.

  9. ON THE DEMAND DYNAMICS OF ELECTRICITY IN GHANA: DO EXOGENOUS NON-ECONOMIC VARIABLES COUNT?

    Directory of Open Access Journals (Sweden)

    Ishmael Ackah

    2014-04-01

    Full Text Available The purpose of this study is to identify and quantify the effect of endogenous and exogenous economic factors on electricity demand in Ghana. The Structural Time Series Model is employed due to its ability to capture exogenous non-economic variables. The findings reveal that education has significant effect on electricity consumption in both the short and the long run. Education has inverse relationship with electricity consumption implying that the more consumers are educated, the less electricity they consume. The study also reveals that price changes have less impact on electricity consumption in the short run and that efficiency in electricity consumption has improved since 1971 and will continue for the next twenty years. The study recommends that more public education should be carried out to enhance energy conservation and also, realistic prices should be charge for electricity consumption to allow private investment into the sector.

  10. Innovation and Demand

    DEFF Research Database (Denmark)

    Andersen, Esben Sloth

    2007-01-01

    the demand-side of markets in the simplest possible way. This strategy has allowed a gradual increase in the sophistication of supply-side aspects of economic evolution, but the one-sided focus on supply is facing diminishing returns. Therefore, demand-side aspects of economic evolution have in recent years...... received increased attention. The present paper argues that the new emphasis on demand-side factors is quite crucial for a deepened understanding of economic evolution. The major reasons are the following: First, demand represents the core force of selection that gives direction to the evolutionary process....... Second, firms' innovative activities relate, directly or indirectly, to the structure of expected and actual demand. Third, the demand side represents the most obvious way of turning to the much-needed analysis of macro-evolutionary change of the economic system....

  11. Climate protection by reducing cooling demands in buildings; Klimaschutz durch Reduzierung des Energiebedarfs fuer Gebaeudekuehlung

    Energy Technology Data Exchange (ETDEWEB)

    Bettgenhaeuser, Kjell; Boermans, Thomas; Offermann, Markus; Krechting, Anja; Becker, Daniel [Ecofys Germany GmbH, Koeln (Germany)

    2011-06-15

    The aim of this study is to conduct estimation on the potential reduction in electricity demand from cooling appliances in buildings in Germany. Current electricity demand and greenhouse-gas emissions will be investigated through desk research for residential and non-residential buildings. Based on building simulations, conventional, alternative and renewable technologies will be compared for different reference buildings. An economic and environmental assessment will evaluate the technologies per reference building in further detail. The main result will be an estimation of the potential energy demand reduction for the alternative/ regenerative technologies in the building stock. This will be based on the conditioned floor area and retrofit rates per system. Furthermore, the influence of cooling in buildings on energy demand will be annotated. Barriers in the reduction of energy demand will be described possible actions will be discussed along with types of policy instruments and consumer information. (orig.)

  12. PERFECT DEMAND ILLUSION

    Directory of Open Access Journals (Sweden)

    Alexander Yu. Sulimov

    2015-01-01

    Full Text Available The article is devoted to technique «Perfect demand illusion», which allows to strengthen the competitive advantageof retailers. Also in the paper spells out the golden rules of visual merchandising.The definition of the method «Demand illusion», formulated the conditions of its functioning, and is determined by the mainhypothesis of the existence of this method.Furthermore, given the definition of the «Perfect demand illusion», and describes its additional conditions. Also spells out the advantages of the «Perfect demandillusion», before the «Demand illusion».

  13. Divers of Passenger Demand

    OpenAIRE

    Wittmer, Andreas

    2011-01-01

    -Overview drivers of passenger demand -Driver 1: Economic growth in developing countries -Driver 2: International business travel in developed countries -Driver 3: International leisure travel in developed countries

  14. Fuel demand on UK roads and dieselisation of fuel economy

    International Nuclear Information System (INIS)

    Bonilla, David

    2009-01-01

    Because of high oil prices, and climate change policy, governments are now seeking ways to improve new car fuel economy thus contributing to air quality and energy security. One strategy is to increase dieselisation rates of the vehicle fleet. Recent trends in fuel economy show improvement since 1995, however, efforts need to go further if the EU Voluntary Agreement targets on CO 2 (a greenhouse gas emission standard) are to be achieved. Trends show diesel car sales have accelerated rapidly and that the advantage of new car fuel economy of diesel cars over gasoline ones is narrowing posing a new challenge. We estimate the demand for new car fuel economy in the UK. In the long-run consumers buy fuel economy, but not in the short-run. We found that long-term income and price changes were the main drivers to achieve improvements particularly for diesel cars and that there is no break in the trend of fuel economy induced by the agreement adopted in the 1990s. Policy should target more closely both consumer choice of, and use of, diesel cars.

  15. Residential ventilation standards scoping study

    Energy Technology Data Exchange (ETDEWEB)

    McKone, Thomas E.; Sherman, Max H.

    2003-10-01

    The goals of this scoping study are to identify research needed to develop improved ventilation standards for California's Title 24 Building Energy Efficiency Standards. The 2008 Title 24 Standards are the primary target for the outcome of this research, but this scoping study is not limited to that timeframe. We prepared this scoping study to provide the California Energy Commission with broad and flexible options for developing a research plan to advance the standards. This document presents the findings of a scoping study commissioned by the Public Interest Energy Research (PIER) program of the California Energy Commission to determine what research is necessary to develop new residential ventilation requirements for California. This study is one of three companion efforts needed to complete the job of determining the ventilation needs of California residences, determining the bases for setting residential ventilation requirements, and determining appropriate ventilation technologies to meet these needs and requirements in an energy efficient manner. Rather than providing research results, this scoping study identifies important research questions along with the level of effort necessary to address these questions and the costs, risks, and benefits of pursuing alternative research questions. In approaching these questions and corresponding levels of effort, feasibility and timing were important considerations. The Commission has specified Summer 2005 as the latest date for completing this research in time to update the 2008 version of California's Energy Code (Title 24).

  16. Short- and long-run elasticities of electricity demand in the Korean service sector

    International Nuclear Information System (INIS)

    Lim, Kyoung-Min; Lim, Seul-Ye; Yoo, Seung-Hoon

    2014-01-01

    This paper attempts to examine the electricity demand function in the Korean service sector using the annual data covering the period 1970–2011. The short- and long-run elasticities of electricity demand with respect to price and income are empirically estimated using a co-integration and error-correction model. The short- and long-run price elasticities are estimated to be −0.421 and −1.002, respectively. The short- and long-run income elasticities are computed to be 0.855 and 1.090, respectively. Electricity demand in the service sector is inelastic to changes in both price and income in the short-run, but elastic in the long-run. Therefore, it appears that a pricing policy is more effective than the direct regulation of reducing electricity demand in the long-run in order to stabilize the electricity demand in the service sector. Moreover, it is necessary to encourage a more efficient use of electricity to cope with increasing demand for electricity following economic growth because the electricity demand in the service sector is income-elastic in the long-run. - Highlights: • We examine the electricity demand function in the Korean service sector. • We use the annual data covering the period 1970–2011. • The demand function is estimated using a co-integration and error-correction model. • The short- and long-run price elasticities are −0.421 and −1.002, respectively. • The short- and long-run income elasticities are 0.855 and 1.090, respectively

  17. Control for large scale demand response of thermostatic loads

    DEFF Research Database (Denmark)

    Totu, Luminita Cristiana; Leth, John; Wisniewski, Rafal

    2013-01-01

    appliances with on/off operation. The objective is to reduce the consumption peak of a group of loads composed of both flexible and inflexible units. The power flexible units are the thermostat-based appliances. We discuss a centralized, model predictive approach and a distributed structure with a randomized......Demand response is an important Smart Grid concept that aims at facilitating the integration of volatile energy resources into the electricity grid. This paper considers a residential demand response scenario and specifically looks into the problem of managing a large number thermostatbased...

  18. Integration of motor traffic in residential areas.

    NARCIS (Netherlands)

    Schreuder, D.A.

    1977-01-01

    In stead of banning the cars from residential areas, the plan is to integrate them in such a way that they can still be used, but that they will loose their predominant position. The areas where this integration is to take place are called residential yards. This paper concentrates on the lighting

  19. Therapeutic Residential Care for Children and Youth:

    DEFF Research Database (Denmark)

    Whittaker, James K.; Holmes, Lisa; del Valle, Jorge F.

    2016-01-01

    so in closer collaboration with their families and in closer proximity to their home communities; and, (3) with the hope of reducing the high costs often associated with group residential provision. In some jurisdictions, efforts to reduce residential care resources in the absence of sufficient...... alternatives to serve high-resource needing youth has had unintended and negative consequences. It is within this context that a working group international experts representing research, policy, service delivery and families (International Work Group for Therapeutic Residential Care) convened at the Centre...... for Child and Family Research, Loughborough University in the U.K. for a Summit meeting on therapeutic residential care for children and youth funded by the Sir Halley Stewart Trust (UK). The focus centered on what is known about therapeutic residential care and what key questions should inform a priority...

  20. Effect of policy-based bioenergy demand on southern timber markets: A case study of North Carolina

    International Nuclear Information System (INIS)

    Abt, Robert C.; Abt, Karen L.; Cubbage, Frederick W.; Henderson, Jesse D.

    2010-01-01

    Key factors driving renewable energy demand are state and federal policies requiring the use of renewable feedstocks to produce energy (renewable portfolio standards) and liquid fuels (renewable fuel standards). However, over the next decade, the infrastructure for renewable energy supplies is unlikely to develop as fast as both policy- and market-motivated renewable energy demands. This will favor the use of existing wood as a feedstock in the first wave of bioenergy production. The ability to supply wood over the next decade is a function of the residual utilization, age class structure, and competition from traditional wood users. Using the North Carolina Renewable Portfolio Standard as a case study, combined with assumptions regarding energy efficiency, logging residual utilization, and traditional wood demands over time, we simulate the impacts of increased woody biomass demand on timber markets. We focus on the dynamics resulting from the interaction of short-run demand changes and long-term supply responses. We conclude that logging residuals alone may be unable to meet bioenergy demands from North Carolina's Renewable Portfolio Standard. Thus, small roundwood (pulpwood) may be used to meet remaining bioenergy demands, resulting in increased timber prices and removals; displacement of traditional products; higher forest landowner incomes; and changes in the structure of the forest resource. (author)

  1. Uranium supply and demand

    Energy Technology Data Exchange (ETDEWEB)

    Spriggs, M J

    1976-01-01

    Papers were presented on the pattern of uranium production in South Africa; Australian uranium--will it ever become available; North American uranium resources, policies, prospects, and pricing; economic and political environment of the uranium mining industry; alternative sources of uranium supply; whither North American demand for uranium; and uranium demand and security of supply--a consumer's point of view. (LK)

  2. Wood supply and demand

    Science.gov (United States)

    Peter J. Ince; David B. McKeever

    2011-01-01

    At times in history, there have been concerns that demand for wood (timber) would be greater than the ability to supply it, but that concern has recently dissipated. The wood supply and demand situation has changed because of market transitions, economic downturns, and continued forest growth. This article provides a concise overview of this change as it relates to the...

  3. The evaluation of retrofit measures in a tall residential building

    Energy Technology Data Exchange (ETDEWEB)

    Abraham, M.M.; McLain, H.A.

    1995-07-01

    As part of a joint demonstration effort involving the US Department of Energy (DOE), the US Department of Housing and Urban Development (HUD), Boston Edison Company (BECo), and the Chelsea Housing Authority, Oak Ridge National Laboratory (ORNL) participated in the evaluation of energy and demand saving retrofits for a tall residential building located in Boston. The thirteen story all-electric building underwent window, lighting, and control renovations in December, 1992. annual energy consumption was reduced by 15% and peak demand fell by 17%. Hourly should building consumption data were available for the comparison of pre- and post- conditions and for calibration of a DOE-2.1D simulation model. The analysis found the window retrofit accounted for 90% of total energy savings and 95% of average demand savings, due to reductions in both conduction and infiltration. Benefits from lighting retrofits were low in cooling months and negligible in winter months due to the increase in the demand for electric resistance heating which was proportional to the reduction in lighting capacity. Finally, the simulation model verified that heating system controls had not been used as intended, and that the utility rate structure would not allow cost savings from the original control strategy. These results and other interesting lessons learned are presented.

  4. Comparison of economic instruments to reduce PM_2_._5 from industrial and residential sources

    International Nuclear Information System (INIS)

    Mardones, Cristian; Saavedra, Andrés

    2016-01-01

    In the literature, it is possible to find different studies that compare economic instruments performance applied to the industrial sources regulation; however, evidence about pollution from residential sources is scarce. For this reason, the present study simulates and compares an emission permit system (EPS) and an ambient permit system (APS) when fine particulate matter pollution (PM_2_._5) is generated from industrial and residential sources. Thus, this research contributes to the spatial, economic and environmental assessment of industrial and residential emissions. The options to reduce pollution include replacement of heating devices in residential sources and installing end-of-pipe technologies in industrial sources. The results in terms of total cost and technological chosen options are similar under an APS and EPS for targets lesser to 80%. This is explained because it is more cost-effective to reduce emissions in residential sources than in industrial sources, and additionally, residential pollution has only local impact. However, some industrial sources should install abatement technologies for more demanding targets; in this case as industrial pollution are scattered in different areas, the total cost of an APS are lower than the total cost of an EPS. - Highlights: • The impact of wood burning on air quality can be significant in urban areas. • Residential and industrial sources in regulatory schemes to PM_2_._5 are analyzed. • Wood smoke pollution can be reduced by changing to more efficient heating devices. • Wood heater replacement is more cost-effective than abatement technologies. • The results are similar under APS and EPS for targets lesser to 80%.

  5. Tourism demand in Asean-5 countries: Evidence from panel data analysis

    Directory of Open Access Journals (Sweden)

    Nur Fadzlunnisaa Wakimin

    2018-06-01

    Full Text Available Tourism has emerged as a major industry worldwide and a sector in many countries. This sector has experienced a rapid growth and has become a key driver for sustainable socioeconomic developments globally. However, tourism is also a vector of environmental degradation through the emission of greenhouse gases (GHG. Therefore, the aim of this study was to analyze the main factors that are affecting the tourism demand in ASEAN-5 countries. Using a panel of five ASEAN countries over a 44-year period and applying the Pooled Mean Group (PMG approach, the empirical results have shown that the major determinants of tourism demand in these countries are income, trade, tourism price, and carbon dioxide emission. The results have also shown that the PMG performed better than the Mean Group (MG estimator. This paper refers to the PMG estimator because it constrains the long run coefficients to be identical, but allows the short run coefficients and error variances to differ across groups. Income and trade appeared to exert significant positive impacts on tourism demand, whereas tourism price and carbon dioxide emissions have negative impacts on tourism demand in these ASEAN-5 countries. The results would be a good reference for policy makers in these specific countries.

  6. MARKET SUPPLY RESPONSE AND DEMAND FOR LOCAL RICE IN NIGERIA: IMPLICATIONS FOR SELF-SUFFICIENCY POLICY

    Directory of Open Access Journals (Sweden)

    M RAHJI

    2009-03-01

    Full Text Available This study examined the supply response and demand for local rice in Nigeria between 1960 and 2004. A system of equations using secondary data was estimated by OLS and 2SLS techniques. Area planted with local rice is mainly affected by expected price of output, agriculture wage rate and by the partial adjustment coefficient. The short-run response elasticity is 0.077. The implied long-run response elasticity is 1.578. The partial adjustment measure is 0.049. This, points to the difficulty of supply response to changing economic conditions. The price elasticity of demand obtained is 0.841. The demand for local rice is thus price inelastic. Rice income elasticity is 0.3378. It is also inelastic. The ban on rice importation in Nigeria could be said to be a step in the right direction. This policy should be continued and policed. However, price, output and non-price incentives that can exert significant influence on rice supply response and demand are required if the self-sufficiency goal is to be achieved.

  7. Residential radon survey in Finland

    International Nuclear Information System (INIS)

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

    1993-02-01

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

  8. Effects of Heterogeneity in Residential Preferences on an Agent-Based Model of Urban Sprawl

    Directory of Open Access Journals (Sweden)

    Daniel G. Brown

    2006-06-01

    Full Text Available The ability of agent-based models (ABMs to represent heterogeneity in the characteristics and behaviors of actors enables analyses about the implications of this heterogeneity for system behavior. The importance of heterogeneity in the specification of ABMs, however, creates new demands for empirical support. An earlier analysis of a survey of residential preferences within southeastern Michigan revealed seven groups of residents with similar preferences on similar characteristics of location. In this paper, we present an ABM that represents the process of residential development within an urban system and run it for a hypothetical pattern of environmental variation. Residential locations are selected by residential agents, who evaluate locations on the basis of preference for nearness to urban services, including jobs, aesthetic quality of the landscape, and their similarity to their neighbors. We populate our ABM with a population of residential preferences drawn from the survey results in five different ways: (1 preferences drawn at random; (2 equal preferences based on the mean from the entire survey sample; (3 preferences drawn from a single distribution, whose mean and standard deviation are derived from the survey sample; (4 equal preferences within each of seven groups, based on the group means; and (5 preferences drawn from distributions for each of seven groups, defined by group means and standard deviations. Model sensitivity analysis, based on multiple runs of our model under each case, revealed that adding heterogeneity to agents has a significant effect on model outcomes, measured by aggregate patterns of development sprawl and clustering.

  9. Residential energy use: an international perspective on long-term trends in Denmark, Norway and Sweden

    International Nuclear Information System (INIS)

    Unander, Fridtjof; Ettestoel, Ingunn; Ting, Mike; Schipper, Lee

    2004-01-01

    This paper examines residential energy use in the Scandinavian countries: Denmark, Norway and Sweden, over the period 1973-1999. The paper uses a decomposition approach to investigate differences in residential energy demand structure and end-use intensities and discusses both differences in absolute levels of energy use and differences over time. Comparisons are also made to other countries that have been analysed in the IEA energy efficiency indicator project. The analysis shows that, in contrast to Denmark and Sweden, Norway saw a growth in total residential energy use between 1973 and 1999. This can be partially explained by the fact that Norway started from a lower per capita income level in the early 1970s but has since then enjoyed a rapid income growth that drove up house area and consequently put a pressure on energy use. But the analysis also shows that Denmark and Sweden achieved significant reductions of residential energy intensities between 1973 and 1990, while the reductions in Norway were negligible. After 1990, the picture changed; there was a strong decline in residential energy intensities in Norway and a high rate of energy savings compared to most other countries analysed by the IEA, while energy savings in Denmark and Sweden more or less came to a halt

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

    Science.gov (United States)

    Kopf, John

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

  11. Asian oil demand

    International Nuclear Information System (INIS)

    Fesharaki, F.

    2005-01-01

    This conference presentation examined global oil market development and the role of Asian demand. It discussed plateau change versus cyclical movement in the global oil market; supply and demand issues of OPEC and non-OPEC oil; if high oil prices reduce demand; and the Asian oil picture in the global context. Asian oil demand has accounted for about 50 per cent of the global incremental oil market growth. The presentation provided data charts in graphical format on global and Asia-Pacific incremental oil demand from 1990-2005; Asia oil demand growth for selected nations; real GDP growth in selected Asian countries; and, Asia-Pacific oil production and net import requirements. It also included charts in petroleum product demand for Asia-Pacific, China, India, Japan, and South Korea. Other data charts included key indicators for China's petroleum sector; China crude production and net oil import requirements; China's imports and the share of the Middle East; China's oil exports and imports; China's crude imports by source for 2004; China's imports of main oil products for 2004; India's refining capacity; India's product balance for net-imports and net-exports; and India's trade pattern of oil products. tabs., figs

  12. A semiparametric model of household gasoline demand

    Energy Technology Data Exchange (ETDEWEB)

    Wadud, Zia [Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000 (Bangladesh); Noland, Robert B. [Alan M. Voorhees Transportation Center, Edward J. Bloustein School of Planning and Public Policy, Rutgers University, New Brunswick, NJ 08901 (United States); Graham, Daniel J. [Centre for Transport Studies, Dept of Civil and Environmental Engineering, Imperial College London, London, SW7 2AZ (United Kingdom)

    2010-01-15

    Gasoline demand studies typically generate a single price and income elasticity for a country. It is however possible that these elasticities may differ among various socio-economic groups. At the same time, parametric gasoline demand models may not be flexible enough to capture the changes in price elasticities with different levels of income. This paper models US gasoline demand using more flexible semiparametric techniques, accommodating the possibility of differences in responses among households. The econometric model employs a non-parametric bivariate smoothing for price and income and a parametric representation of other explanatory variables. Possible heterogeneity in price and income elasticities is modelled through interacting price and income with demographic variables. Results show that price responses do vary with demographic variables such as income, multiple vehicle holding, presence of multiple wage earners or rural or urban residential locations. Households' responses to a price change decrease with higher income. Multiple vehicle and multiple earner households also show higher sensitivity to a price change. Households located in urban areas reduce consumption more than those in rural areas in response to an increase in price. Comparison of the flexible semiparametric model with a parametric translog model, however, reveals no significant differences between results, and the parametric models have the advantage of lower computational requirements and better interpretability. (author)

  13. Uranium supply and demand

    International Nuclear Information System (INIS)

    1984-05-01

    This report covers the period 1983 to 1995. It draws together the industry's latest views on future trends in supply and demand, and sets them in their historical context. It devotes less discussion than its predecessors to the technical influences underpinning the Institute's supply and demand forecasts, and more to the factors which influence the market behaviour of the industry's various participants. As the last decade has clearly shown, these latter influences can easily be overlooked when undue attention is given to physical imbalances between supply and demand. (author)

  14. On energy demand

    International Nuclear Information System (INIS)

    Haefele, W.

    1977-01-01

    Since the energy crisis, a number of energy plans have been proposed, and almost all of these envisage some kind of energy demand adaptations or conservation measures, hoping thus to escape the anticipated problems of energy supply. However, there seems to be no clear explanation of the basis on which our foreseeable future energy problems could be eased. And in fact, a first attempt at a more exact definition of energy demand and its interaction with other objectives, such as economic ones, shows that it is a highly complex concept which we still hardly understand. The article explains in some detail why it is so difficult to understand energy demand

  15. Natural gas supply and demand outlook

    International Nuclear Information System (INIS)

    McGill, C.B.

    1998-01-01

    The outlook for U.S. natural gas supply and demand in the residential, commercial, industrial/cogeneration, electricity and transportation sectors for 1995, 2000, 2005, 2010, and 2015 was presented. A summary of gas well completions from 1990 to 1997 was also provided. The Canadian natural gas resource was estimated at 184 trillion cubic feet. In 1996, Canada produced 5.6 trillion cubic feet of natural gas, half of which was exported to the U.S. New pipeline projects have been proposed to transport natural gas from eastern offshore areas and the Western Canadian Sedimentary Basin. A table representing U.S. and Canada gas trade from 1990 to 1997 and a map of proposed Canadian and U.S. natural gas pipeline routes were also included. Looking into the future, this speaker predicted continued volatility in natural gas prices. 9 tabs., 9 figs

  16. Sizewell: UK power demand

    International Nuclear Information System (INIS)

    Anon.

    1986-01-01

    The Sizewell Inquiry was about whether the next power stations to be built in the UK should be nuclear or coal and, if nuclear, PWRs or AGRs. During the period of the Inquiry forecasts of demand for electricity were low. Now, however, it seems that the forecast demand is much increased. This uncertainty in demand and the wide regional variations are examined in some detail. Facts and figures on electricity sales (area by area) are presented. Also the minutes of supply lost per consumer per year. These show that security of supply is also a problem. It is also shown that the way electricity is used has changed. Whilst electricity generation has been changing to large-scale, centralised power stations the demand patterns may make smaller scale, quickly-constructed units more sensible. The questions considered at the Sizewell Inquiry may, indeed, no longer be the right ones. (UK)

  17. A demanding market

    International Nuclear Information System (INIS)

    Thomas, M.

    1997-01-01

    The article relates to the oil and natural gas market, and it gives a survey of proved reserves at the end of 1996 worldwide. The long term trend of increasing world energy demand has seen a major rise during 1996 when global consumption grew by 3%. But worldwide demand, excluding the Former Soviet Union, shows this figure increasing further to 3.7% for the whole of last year according to statistics. 3 figs

  18. Maximum power demand cost

    International Nuclear Information System (INIS)

    Biondi, L.

    1998-01-01

    The charging for a service is a supplier's remuneration for the expenses incurred in providing it. There are currently two charges for electricity: consumption and maximum demand. While no problem arises about the former, the issue is more complicated for the latter and the analysis in this article tends to show that the annual charge for maximum demand arbitrarily discriminates among consumer groups, to the disadvantage of some [it

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

    Science.gov (United States)

    Carlson, Derrick R.

    consumption, which suggests significant diminishing returns for parties interested in monitoring appliance level electricity consumption. Another way to improve understanding of residential energy consumption is through the development of residential use phase energy vectors for use in the Economic Input-Output Life Cycle Assessment (EIO-LCA) model. The EIO-LCA model is a valuable scoping tool to predict the environmental impacts of economic activity. This tool has a gap in its capabilities as residential use phase energy is outside the scope of the model. Adding use phase energy vectors to the EIO-LCA model will improve the modeling, provide a more complete estimation of energy impacts and allow for embedded energy to be compared to use phase energy for the purchase of goods and services in the residential sector. This work adds 21 quads of energy to the residential energy sector for the model and 15 quads of energy for personal transportation. These additions represent one third of the total energy consumption of the United States and a third of the total energy in the EIO-LCA model. This work also demonstrates that for many products such as electronics and household appliances use phase energy demands are much greater than manufacturing energy demands and dominate the life cycles for these products. A final way in which this thesis improves upon the understanding of how use phase energy is consumed in a home is through the exploration of potential energy reductions in a home. This analysis selects products that are used or consumed in a home, and explores the potential for reductions in the embedded manufacturing and use phase energy of that product using EIO-LCA and the energy vectors created in Chapter 3. The results give consumers an understanding of where energy is consumed in the lifecycle of products that they purchase and provide policy makers with valuable information on how to focus or refocus policies that are aimed and reducing energy in the residential sector

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

    DEFF Research Database (Denmark)

    Rode, Carsten; Abadie, Marc; Qin, Menghao

    2016-01-01

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

  1. 12 CFR 541.23 - Residential real estate.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Residential real estate. 541.23 Section 541.23... AFFECTING FEDERAL SAVINGS ASSOCIATIONS § 541.23 Residential real estate. The terms residential real estate... home used in part for business); (c) Other real estate used for primarily residential purposes other...

  2. 12 CFR 541.16 - Improved residential real estate.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Improved residential real estate. 541.16... REGULATIONS AFFECTING FEDERAL SAVINGS ASSOCIATIONS § 541.16 Improved residential real estate. The term improved residential real estate means residential real estate containing offsite or other improvements...

  3. Technological progress and long-term energy demand - a survey of recent approaches and a Danish case

    DEFF Research Database (Denmark)

    Klinge Jacobsen, Henrik

    2001-01-01

    This paper discusses di!erent approaches to incorporating technological progress in energy-economy models and the e!ecton long-term energy demand projections. Approaches to modelling based on an exogenous annual change of energy e$ciencyto an endogenous explanation of innovation for energy...... technologies are covered. Technological progress is an important issue for modelling long-term energy demand and is often characterised as the main contributor to the di!erent energy demand forecasts from di!erent models. New economic theoretical developments in the "elds of endogenous growth and industrial...... description, two models of residential energy demand in Denmark are compared. A Danish macroeconometric model is compared to a technological vintage model that is covering electric appliances and residential heating demand. The energy demand projection of the two models diverges, and the underlying...

  4. Productivity Commission Submission to the Review of Pricing Arrangements in Residential Aged Care

    OpenAIRE

    Productivity Commission

    2003-01-01

    The Commission’s submission to the Review of Pricing Arrangements for Residential Aged Care draws on earlier work, including its inquiry into Nursing Home Subsidies and a major conference on Policy Implications of the Ageing of Australia’s Population. The submission provides an assessment of the current funding and service delivery arrangements for aged care services; an analysis of the implications of ageing, trends in disability rates and other key influences on the future demand for and co...

  5. Intermittent Water Supplies: Challenges and Opportunities for Residential Water Users in Jordan

    OpenAIRE

    Rosenberg, David E.; Talozi, Samer; Lund, Jay

    2008-01-01

    Intermittent access to improved urban water supplies is a large and expanding global problem. This paper describes 16 supply enhancement and 23 demand management actions available to urban residential water users in Jordan to cope with intermittent supplies. We characterize actions by implementation, costs, and water quantities and qualities acquired or conserved. This effort systematically identifies potential options prior to detailed study and shows that water users have significant capaci...

  6. A meta-analysis of the price elasticity of gasoline demand. A SUR approach

    Energy Technology Data Exchange (ETDEWEB)

    Brons, Martijn; Rietveld, Piet [Department of Spatial Economics, Vrije Universiteit, De Boelelaan 1105, 1081 HV Amsterdam (Netherlands); Tinbergen Institute Amsterdam (TIA), Roetersstraat 31, 1018 WB Amsterdam (Netherlands); Nijkamp, Peter [Department of Spatial Economics, Vrije Universiteit, De Boelelaan 1105, 1081 HV Amsterdam (Netherlands); Tinbergen Institute Amsterdam (TIA), Roetersstraat 31, 1018 WB Amsterdam (Netherlands); The Netherlands Organisation of Scientific Research (NWO), postbus 93138 - 2509 AC Den Haag (Netherlands); Pels, Eric [Department of Spatial Economics, Vrije Universiteit, De Boelelaan 1105, 1081 HV Amsterdam (Netherlands)

    2008-09-15

    Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership. In this meta-analytical study we aim to investigate and explain the variation in empirical estimates of the price elasticity of gasoline demand. A methodological novelty is that we use the linear relationship between the elasticities to develop a meta-analytical estimation approach based on a Seemingly Unrelated Regression (SUR) model with Cross Equation Restrictions. This approach enables us to combine observations of different elasticities and thus increase our sample size. Furthermore, it allows for a more detailed interpretation of our meta-regression results. The empirical results of the study demonstrate that the SUR approach leads to more precise results (i.e., lower standard errors) than a standard meta-analytical approach. We find that, with mean short run and long run price elasticities of - 0.34 and - 0.84, respectively, the demand for gasoline is not very price sensitive. Both in the short and the long run, the impact of a change in the gasoline price on demand is mainly driven by responses in fuel efficiency and mileage per car and to a slightly lesser degree by changes in car ownership. Furthermore, we find that study characteristics relating to the geographic area studied, the year of the study, the type of data used, the time horizon and the functional specification of the demand equation have a significant impact on the estimated value of the price elasticity of gasoline demand. (author)

  7. A meta-analysis of the price elasticity of gasoline demand. A SUR approach

    International Nuclear Information System (INIS)

    Brons, Martijn; Rietveld, Piet; Nijkamp, Peter; Pels, Eric

    2008-01-01

    Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership. In this meta-analytical study we aim to investigate and explain the variation in empirical estimates of the price elasticity of gasoline demand. A methodological novelty is that we use the linear relationship between the elasticities to develop a meta-analytical estimation approach based on a Seemingly Unrelated Regression (SUR) model with Cross Equation Restrictions. This approach enables us to combine observations of different elasticities and thus increase our sample size. Furthermore, it allows for a more detailed interpretation of our meta-regression results. The empirical results of the study demonstrate that the SUR approach leads to more precise results (i.e., lower standard errors) than a standard meta-analytical approach. We find that, with mean short run and long run price elasticities of - 0.34 and - 0.84, respectively, the demand for gasoline is not very price sensitive. Both in the short and the long run, the impact of a change in the gasoline price on demand is mainly driven by responses in fuel efficiency and mileage per car and to a slightly lesser degree by changes in car ownership. Furthermore, we find that study characteristics relating to the geographic area studied, the year of the study, the type of data used, the time horizon and the functional specification of the demand equation have a significant impact on the estimated value of the price elasticity of gasoline demand. (author)

  8. Influence of Macroeconomic Factors on Residential Property ...

    African Journals Online (AJOL)

    Sultan

    exerted by macroeconomic factors on residential property returns in Abuja. The backward .... explanatory power and positive influence of employment and ...... Project. Management In Property Development: the Nigeria experience. Ibadan:.

  9. Plasma Processing of Model Residential Solid Waste

    Science.gov (United States)

    Messerle, V. E.; Mossé, A. L.; Nikonchuk, A. N.; Ustimenko, A. B.; Baimuldin, R. V.

    2017-09-01

    The authors have tested the technology of processing of model residential solid waste. They have developed and created a pilot plasma unit based on a plasma chamber incinerator. The waste processing technology has been tested and prepared for commercialization.

  10. A multi-scale energy demand model suggests sharing market risks with intelligent energy cooperatives

    NARCIS (Netherlands)

    G. Methenitis (Georgios); M. Kaisers (Michael); J.A. La Poutré (Han)

    2015-01-01

    textabstractIn this paper, we propose a multi-scale model of energy demand that is consistent with observations at a macro scale, in our use-case standard load profiles for (residential) electric loads. We employ the model to study incentives to assume the risk of volatile market prices for

  11. Developing estimates of potential demand for renewable wood energy products in Alaska

    Science.gov (United States)

    Allen M. Brackley; Valerie A. Barber; Cassie Pinkel

    2010-01-01

    Goal three of the current U.S. Department of Agriculture, Forest Service strategy for improving the use of woody biomass is to help develop and expand markets for woody biomass products. This report is concerned with the existing volumes of renewable wood energy products (RWEP) that are currently used in Alaska and the potential demand for RWEP for residential and...

  12. Architectural design of passive solar residential building

    Directory of Open Access Journals (Sweden)

    Ma Jing

    2015-01-01

    Full Text Available This paper studies thermal environment of closed balconies that commonly exist in residential buildings, and designs a passive solar residential building. The design optimizes the architectural details of the house and passive utilization of solar energy to provide auxiliary heating for house in winter and cooling in summer. This design might provide a more sufficient and reasonable modification for microclimate in the house.

  13. Novel approaches for an enhanced geothermal development of residential sites

    Science.gov (United States)

    Schelenz, Sophie; Firmbach, Linda; Shao, Haibing; Dietrich, Peter; Vienken, Thomas

    2015-04-01

    An ongoing technological enhancement drives an increasing use of shallow geothermal systems for heating and cooling applications. However, even in areas with intensive shallow geothermal use, planning of geothermal systems is in many cases solely based on geological maps, drilling databases, and literature references. Thus, relevant heat transport parameters are rather approximated than measured for the specific site. To increase the planning safety and promote the use of renewable energies in the domestic sector, this study investigates a novel concept for an enhanced geothermal development of residential neighbourhoods. This concept is based on a site-specific characterization of subsurface conditions and the implementation of demand-oriented geothermal usage options. Therefore, an investigation approach has been tested that combines non-invasive with minimum-invasive exploration methods. While electrical resistivity tomography has been applied to characterize the geological subsurface structure, Direct Push soundings enable a detailed, vertical high-resolution characterization of the subsurface surrounding the borehole heat exchangers. The benefit of this site-specific subsurface investigation is highlighted for 1) a more precise design of shallow geothermal systems and 2) a reliable prediction of induced long-term changes in groundwater temperatures. To guarantee the financial feasibility and practicability of the novel geothermal development, three different options for its implementation in residential neighbourhoods were consequently deduced.

  14. Stochastic analysis of residential micro combined heat and power system

    International Nuclear Information System (INIS)

    Karami, H.; Sanjari, M.J.; Gooi, H.B.; Gharehpetian, G.B.; Guerrero, J.M.

    2017-01-01

    Highlights: • Applying colonial competitive algorithm to the problem of optimal dispatching. • Economic modeling of the residential integrated energy system. • Investigating differences of stand-alone and system-connected modes of fuel cell operation. • Considering uncertainty on the electrical load. • The effects of battery capacity and its efficiency on the system is investigated. - Abstract: In this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm is adopted to the hybrid energy system scheduling problem and different energy resources are optimally scheduled to have optimal operating cost of hybrid energy system. In order to show the effectiveness of the colonial competitive algorithm, the results are compared with the results of the harmony search algorithm. The optimized scheduling of different energy resources is listed in an efficient look-up table for all time intervals. The effects of time of use and the battery efficiency and its size are investigated on the operating cost of the hybrid energy system. The results of this paper are expected to be used effectively in a real hybrid energy system.

  15. 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)

  16. Home Network Technologies and Automating Demand Response

    Energy Technology Data Exchange (ETDEWEB)

    McParland, Charles

    2009-12-01

    Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively

  17. The 1986 residential occupant survey

    Energy Technology Data Exchange (ETDEWEB)

    Ivey, D.L.; Alley, P.K.

    1987-04-01

    In 1986, Pacific Northwest Laboratory developed the Residential Occupant Survey-Spring '86, which was implemented. The overall purpose of the study was to collect demographic, attitudinal, and behavioral data related to the use and conservation of electricity in dwellings participating in the Bonneville Power Administration's End-Use Load and Conservation Assessment Program (ELCAP). Information was collected on the respondents' perceptions of the energy efficiency of their dwelling, temperature the dwelling was kept when people were at home and awake during the last heating season, which rooms, if any, were not heated during the last heating season, number of times the dwelling was unoccupied for at least one week, number of times pets were let out of the dwelling per day, attitudes toward energy use and conservation and several socio-demographic variables such as age, sex, and total household income. The results of the data analyses showed age to be an important factor for reported indoor temperature and perceived energy efficiency of the dwelling. The results also showed that almost 60% of the ELCAP occupants do not heat one or more rooms during the heating season, and almost 45% of the ELCAP dwellings were unoccupied for at least one week during the reporting period. In terms of the reported allocation of household income for household energy expenses, the results showed that the reported dollar amount spent for the expenses remained relatively constant over income levels.

  18. Promotion COPERNIC Energy and Society the interrogations on the world demand evolution; Promotion COPERNIC Energie et Societe les interrogations sur l'evolution de la demande mondiale

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-12-15

    In the framework of a prospective reflexion emergence on the energy demand, this document presents an analysis of the prospective approach and of recent studies: challenges, interests, limits, validity of the models and hypothesis and results relevance. With this analysis, the authors aim to identify the main interrogations bond to the world energy demand evolution. They then analyse these interrogations in the framework of a sectoral approach (agriculture, industry, transports, residential) in order to detail the demand and to forecast the evolution. Facing the consumption attitudes, they also suggest some new action avenues to favor a sustainable growth. (A.L.B.)

  19. Promotion COPERNIC Energy and Society the interrogations on the world demand evolution; Promotion COPERNIC Energie et Societe les interrogations sur l'evolution de la demande mondiale

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-12-15

    In the framework of a prospective reflexion emergence on the energy demand, this document presents an analysis of the prospective approach and of recent studies: challenges, interests, limits, validity of the models and hypothesis and results relevance. With this analysis, the authors aim to identify the main interrogations bond to the world energy demand evolution. They then analyse these interrogations in the framework of a sectoral approach (agriculture, industry, transports, residential) in order to detail the demand and to forecast the evolution. Facing the consumption attitudes, they also suggest some new action avenues to favor a sustainable growth. (A.L.B.)

  20. UK Nuclear Workforce Demand

    International Nuclear Information System (INIS)

    Roberts, John

    2017-01-01

    UK Nuclear Sites: DECOMMISSIONING - 26 Magnox Reactors, 2 Fast Reactors; OPERATIONAL - 14 AGRs, 1 PWR; 9.6 GWe Total Capacity. Nuclear Workforce Demand • Total workforce demand is expected to grow from ~88,000 in 2017 to ~101,000 in 2021 • Average “inflow” is ~7,000 FTEs per annum • 22% of the workforce is female (28% in civil, 12% in defence) • 81% generic skills, 18% nuclear skills, 1% subject matter experts • 3300 trainees total in SLCs and Defence Enterprise (16% graduate trainees) • At peak demand on Civils Construction, over 4,000 workers will be required on each nuclear new build site • Manufacturing workforce is expected to rise from around 4,000 in 2014 to 8,500 at the peak of onsite activity in 2025

  1. Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis

    Energy Technology Data Exchange (ETDEWEB)

    Ziramba, Emmanuel, E-mail: zirame@unisa.ac.z [Department of Economics, University of South Africa, P.O Box 392, Unisa 0003 (South Africa)

    2010-12-15

    This paper examines the demand for imported crude oil in South Africa as a function of real income and the price of crude oil over the period 1980-2006. We carried out the Johansen co integration multivariate analysis to determine the long-run income and price elasticities. A unique long-run cointegration relationship exists between crude oil imports and the explanatory variables. The short-run dynamics are estimated by specifying a general error correction model. The estimated long-run price and income elasticities of -0.147 and 0.429 suggest that import demand for crude oil is price and income inelastic. There is also evidence of unidirectional long-run causality running from real GDP to crude oil imports. - Research Highlights: {yields}The paper examines the demand for imported crude oil in South Africa over the period 1980-2006. {yields} The estimated long-run price and income elasticities are -0.147 and 0.429, respectively. {yields} There is evidence of unidirectional long-run causality running from real GDP to crude oil imports.

  2. Regional electric power demand elasticities of Japan's industrial and commercial sectors

    International Nuclear Information System (INIS)

    Hosoe, Nobuhiro; Akiyama, Shu-ichi

    2009-01-01

    In the assessment and review of regulatory reforms in the electric power market, price elasticity is one of the most important parameters that characterize the market. However, price elasticity has seldom been estimated in Japan; instead, it has been assumed to be as small as 0.1 or 0 without proper examination of the empirical validity of such a priori assumptions. We estimated the regional power demand functions for nine regions, in order to quantify the elasticity, and found the short-run price elasticity to be 0.09-0.30 and the long-run price elasticity to be 0.12-0.56. Inter-regional comparison of our estimation results suggests that price elasticity in rural regions is larger than that in urban regions. Popular assumptions of small elasticity of 0.1, for example, could be suitable for examining Japan's aggregate power demand but not power demand functions that focus on respective regions. Furthermore, assumptions about smaller elasticity values such as 0.01 and 0 could not be supported statistically by this study.

  3. Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis

    International Nuclear Information System (INIS)

    Ziramba, Emmanuel

    2010-01-01

    This paper examines the demand for imported crude oil in South Africa as a function of real income and the price of crude oil over the period 1980-2006. We carried out the Johansen co integration multivariate analysis to determine the long-run income and price elasticities. A unique long-run cointegration relationship exists between crude oil imports and the explanatory variables. The short-run dynamics are estimated by specifying a general error correction model. The estimated long-run price and income elasticities of -0.147 and 0.429 suggest that import demand for crude oil is price and income inelastic. There is also evidence of unidirectional long-run causality running from real GDP to crude oil imports. - Research Highlights: →The paper examines the demand for imported crude oil in South Africa over the period 1980-2006. → The estimated long-run price and income elasticities are -0.147 and 0.429, respectively. → There is evidence of unidirectional long-run causality running from real GDP to crude oil imports.

  4. Regional electric power demand elasticities of Japan's industrial and commercial sectors

    Energy Technology Data Exchange (ETDEWEB)

    Hosoe, Nobuhiro [National Graduate Institute for Policy Studies, 7-22-1 Roppongi, Minato, Tokyo 106-8677 (Japan); Akiyama, Shu-ichi [Kushiro Public University of Economics, 4-1-1 Ashino, Kushiro, Hokkaido 085-8585 (Japan)

    2009-11-15

    In the assessment and review of regulatory reforms in the electric power market, price elasticity is one of the most important parameters that characterize the market. However, price elasticity has seldom been estimated in Japan; instead, it has been assumed to be as small as 0.1 or 0 without proper examination of the empirical validity of such a priori assumptions. We estimated the regional power demand functions for nine regions, in order to quantify the elasticity, and found the short-run price elasticity to be 0.09-0.30 and the long-run price elasticity to be 0.12-0.56. Inter-regional comparison of our estimation results suggests that price elasticity in rural regions is larger than that in urban regions. Popular assumptions of small elasticity of 0.1, for example, could be suitable for examining Japan's aggregate power demand but not power demand functions that focus on respective regions. Furthermore, assumptions about smaller elasticity values such as 0.01 and 0 could not be supported statistically by this study. (author)

  5. Short Paper: Frequency Regulation Services from Connected Residential Devices: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Baker, Kyri; Jin, Xin; Vaidhynathan, Deepthi; Jones, Wesley; Christensen, Dane; Sparn, Bethany; Woods, Jason; Sorensen, Harry; Lunacek, Monte

    2017-01-01

    In this paper, we demonstrate the potential benefits that residential buildings can provide for frequency regulation services in the electric power grid. In a hardware-in-the- loop (HIL) implementation, simulated homes along with a physical laboratory home are coordinated via a grid aggregator, and it is shown that their aggregate response has the potential to follow the regulation signal on a timescale of seconds. Connected (communication-enabled), devices in the National Renewable Energy Laboratory's (NREL's) Energy Systems Integration Facility (ESIF) received demand response (DR) requests from a grid aggregator, and the devices responded accordingly to meet the signal while satisfying user comfort bounds and physical hardware limitations. Future research will address the issues of cybersecurity threats, participation rates, and reducing equipment wear-and-tear while providing grid services.

  6. Elasticities of electricity demand in urban Indian households

    International Nuclear Information System (INIS)

    Filippini, Massimo; Pachauri, Shonali

    2004-01-01

    In the past, several electricity demand studies have been published for India based on aggregate macro data at the country or sub-national/state level. Since the underlying theory of consumer demand is based on the behaviour of individual agents, the use of micro data, which reflects individual and household behaviour, more closely, can shed greater light on the nature of consumer responses. In this paper, seasonal price and income elasticities of electricity demand in the residential sector of all urban areas of India are estimated for the first time using disaggregate level survey data for about 30,000 households. Three electricity demand functions have been econometrically estimated using monthly data for the winter, monsoon and summer season in order to understand the extent to which factors like income, prices, household size and other household specific characteristics, influence variations observed in individual households' electricity demand. The results show electricity demand is income and price inelastic in all three seasons, and that household, demographic and geographical variables are significant in determining electricity demand

  7. Demand Modelling in Telecommunications

    Directory of Open Access Journals (Sweden)

    M. Chvalina

    2009-01-01

    Full Text Available This article analyses the existing possibilities for using Standard Statistical Methods and Artificial Intelligence Methods for a short-term forecast and simulation of demand in the field of telecommunications. The most widespread methods are based on Time Series Analysis. Nowadays, approaches based on Artificial Intelligence Methods, including Neural Networks, are booming. Separate approaches will be used in the study of Demand Modelling in Telecommunications, and the results of these models will be compared with actual guaranteed values. Then we will examine the quality of Neural Network models. 

  8. DemandStat

    International Nuclear Information System (INIS)

    2003-01-01

    DemandStat is an accurate and up-to-date international statistics database dedicated to energy demand, with an unrivaled level of details for powerful market analysis. It provides detailed consumption statistics (30 sectors) on all energies, detailed 2003 data and historical annual data since 1970, frequent data revision and update (2 updates options), 150 data sources gathered and expertized, all data on a single database Consistent and homogeneous statistics, in line with all major data providers (IEA, Eurostat, ADB, OLADE, etc), no ruptures in time-series with easy request building and data analysis and reactive support from data experts. (A.L.B.)

  9. Education on Demand

    DEFF Research Database (Denmark)

    Boysen, Lis; Hende, Merete

    2015-01-01

    Dette notat beskriver nogle af resultaterne fra programmet "Education on Demand' i projektet Det erhvervsrettede Uddannelseslaboratorium. Programmet har haft fokus på udfordringer og forandringsbehov i uddannelsesinstitutioner og -systemet. Herunder har det beskæftiget sig særligt med de to temat......Dette notat beskriver nogle af resultaterne fra programmet "Education on Demand' i projektet Det erhvervsrettede Uddannelseslaboratorium. Programmet har haft fokus på udfordringer og forandringsbehov i uddannelsesinstitutioner og -systemet. Herunder har det beskæftiget sig særligt med de...

  10. Evaluation of climate change impacts on energy demand

    DEFF Research Database (Denmark)

    Taseska, Verica; Markovska, Natasa; Callaway, John M.

    2012-01-01

    change and the energy demand in Macedonia. The analyses are conducted using the MARKAL (MARKet ALlocation)-Macedonia model, with a focus on energy demand in commercial and residential sectors (mainly for heating and cooling). Three different cases are developed: 1) Base Case, which gives the optimal...... electricity production mix, taking into account country’s development plans (without climate change); 2) Climate Change Damage Case, which introduces the climate changes by adjusting the heating and cooling degree days inputs, consistent with the existing national climate scenarios; and 3) Climate Change...... Adaptation Case, in which the optimal electricity generation mix is determined by allowing for endogenous capacity adjustments in the model. This modeling exercise will identify the changes in the energy demand and in electricity generation mix in the Adaptation Case, as well as climate change damages...

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

    Science.gov (United States)

    Denysenko, Artur

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

  12. Differences between Residential and Non-Residential Fathers on Sexual Socialisation of African American Youth

    Science.gov (United States)

    Sneed, Carl D.; Willis, Leigh A.

    2016-01-01

    This study investigated differences between residential and non-residential fathers on topics discussed during father-child sex communication and factors associated with child sexual socialisation. Young people (N = 159, 53% female) provided self-reports using computer surveys on the role of their fathers on father-child sex communication, general…

  13. Causality in demand

    DEFF Research Database (Denmark)

    Nielsen, Max; Jensen, Frank; Setälä, Jari

    2011-01-01

    to fish demand. On the German market for farmed trout and substitutes, it is found that supply sources, i.e. aquaculture and fishery, are not the only determinant of causality. Storing, tightness of management and aggregation level of integrated markets might also be important. The methodological...

  14. Oil supply and demand

    Energy Technology Data Exchange (ETDEWEB)

    Babusiaux, D

    2004-07-01

    Following the military intervention in Iraq, it is taking longer than expected for Iraqi exports to make a comeback on the market. Demand is sustained by economic growth in China and in the United States. OPEC is modulating production to prevent inventory build-up. Prices have stayed high despite increased production by non-OPEC countries, especially Russia. (author)

  15. Oil supply and demand

    Energy Technology Data Exchange (ETDEWEB)

    Rech, O

    2006-07-01

    The year 2004 saw a change in the oil market paradigm that was confirmed in 2005. Despite a calmer geopolitical context, prices continued to rise vigorously. Driven by world demand, they remain high as a result of the saturation of production and refining capacity. The market is still seeking its new equilibrium. (author)

  16. Oil supply and demand

    International Nuclear Information System (INIS)

    Rech, O.

    2006-01-01

    The year 2004 saw a change in the oil market paradigm that was confirmed in 2005. Despite a calmer geopolitical context, prices continued to rise vigorously. Driven by world demand, they remain high as a result of the saturation of production and refining capacity. The market is still seeking its new equilibrium. (author)

  17. The demand for euros

    NARCIS (Netherlands)

    Arnold, I.J.M.; Roelands, S.

    2010-01-01

    This paper investigates the demand for euros using panel data for 10 euro area countries covering the period from 1999 to 2008. Monetary aggregates are constructed to ensure that money is a national concept by excluding deposits owned by non-residents and including external deposits owned by

  18. Oil supply and demand

    International Nuclear Information System (INIS)

    Babusiaux, D.

    2004-01-01

    Following the military intervention in Iraq, it is taking longer than expected for Iraqi exports to make a comeback on the market. Demand is sustained by economic growth in China and in the United States. OPEC is modulating production to prevent inventory build-up. Prices have stayed high despite increased production by non-OPEC countries, especially Russia. (author)

  19. Oil supply and demand

    International Nuclear Information System (INIS)

    Rech, O.

    2004-01-01

    World oil demand, driven by economic development in China, posted the highest growth rate in 20 years. In a context of geopolitical uncertainty, prices are soaring, encouraged by low inventory and the low availability of residual production capacity. Will 2004 bring a change in the oil market paradigm? (author)

  20. Textbook Factor Demand Curves.

    Science.gov (United States)

    Davis, Joe C.

    1994-01-01

    Maintains that teachers and textbook graphics follow the same basic pattern in illustrating changes in demand curves when product prices increase. Asserts that the use of computer graphics will enable teachers to be more precise in their graphic presentation of price elasticity. (CFR)

  1. Oil supply and demand

    Energy Technology Data Exchange (ETDEWEB)

    Rech, O

    2004-07-01

    World oil demand, driven by economic development in China, posted the highest growth rate in 20 years. In a context of geopolitical uncertainty, prices are soaring, encouraged by low inventory and the low availability of residual production capacity. Will 2004 bring a change in the oil market paradigm? (author)

  2. Post-Retrofit Residential Assessments

    Energy Technology Data Exchange (ETDEWEB)

    Lancaster, Ross; lutzenhiser, Loren; Moezzi, Mithra; Widder, Sarah H.; Chandra, Subrato; Baechler, Michael C.

    2012-04-30

    This study examined a range of factors influencing energy consumption in households that had participated in residential energy-efficiency upgrades. The study was funded by a grant from the U.S. Department of Energy’s Pacific Northwest National Laboratory and was conducted by faculty and staff of Portland State University Center for Urban Studies and Department of Economics. This work was made possible through the assistance and support of the Energy Trust of Oregon (ETO), whose residential energy-efficiency programs provided the population from which the sample cases were drawn. All households in the study had participated in the ETO Home Performance with Energy Star (HPwES) program. A number of these had concurrently pursued measures through other ETO programs. Post-retrofit energy outcomes are rarely investigated on a house-by-house basis. Rather, aggregate changes are ordinarily the focus of program impact evaluations, with deviation from aggregate expectations chalked up to measurement error, the vagaries of weather and idiosyncrasies of occupants. However, understanding how homes perform post-retrofit on an individual basis can give important insights to increase energy savings at the participant and the programmatic level. Taking a more disaggregated approach, this study analyzed energy consumption data from before and after the retrofit activity and made comparisons with engineering estimates for the upgrades, to identify households that performed differently from what may have been expected based on the estimates. A statistical analysis using hierarchal linear models, which accounted for weather variations, was performed looking separately at gas and electrical use during the periods before and after upgrades took place. A more straightforward comparison of billing data for 12-month periods before and after the intervention was also performed, yielding the majority of the cases examined. The later approach allowed total energy use and costs to be

  3. Demand side management. Benefits and challenges

    International Nuclear Information System (INIS)

    Strbac, Goran

    2008-01-01

    In this paper, the major benefits and challenges of electricity demand side management (DSM) are discussed in the context of the UK electricity system. The relatively low utilisation of generation and networks (of about 50%) means that there is significant scope for DSM to contribute to increasing the efficiency of the system investment. The importance of the diversity of electricity load is discussed and the negative effects of DSM on load diversity illustrated. Ageing assets, the growth in renewable and other low-carbon generation technologies and advances in information and communication technologies are identified as major additional drivers that could lead to wider applications of DSM in the medium term. Potential benefits of DSM are discussed in the context of generation and of transmission and distribution networks. The provision of back-up capacity by generation may not be efficient as it will be needed relatively infrequently, and DSM may be better placed to support security. We also present an analysis of the value of DSM in balancing generation and demand in a future UK electricity system with significant variable renewable generation. We give a number of reasons for the relatively slow uptake of DSM, particularly in the residential, commercial and small business sectors. They include a lack of metering, information and communication infrastructure, lack of understanding of the benefits of DSM, problems with the competitiveness of DSM when compared with traditional approaches, an increase in the complexity of system operation and inappropriate market incentives. (author)

  4. Electricity demand in Tunisia

    International Nuclear Information System (INIS)

    Gam, Imen; Ben Rejeb, Jaleleddine

    2012-01-01

    This paper examines the global electricity demand in Tunisia as a function of gross domestic product in constant price, the degree of urbanization, the average annual temperature, and the real electricity price per Kwh. This demand will be examined employing annual data over a period spanning almost thirty one years from 1976 to 2006. A long run relationship between the variables under consideration is determined using the Vector Autoregressive Regression. The empirical results suggest that the electricity demand in Tunisia is sensitive to its past value, any changes in gross domestic product and electricity price. The electricity price effects have a negative impact on long-run electricity consumption. However, the gross domestic product and the past value of electricity consumption have a positive effect. Moreover, the causality test reveals a unidirectional relationship between price and electricity consumption. Our empirical findings are effective to policy makers to maintain the electricity consumption in Tunisia by using the appropriate strategy. - Highlights: ► This paper examined the electricity demand in Tunisia in the long-run. ► The empirical analysis revealed that in the long-run the electricity demand is affected by changes in its past value, GDP in constant price and real electricity price. ► There is a unidirectional relationship between price and electricity consumption, that is to say, that the electricity price causes the consumption. ► Those results suggest that a pricing policy can be an effective instrument to rationalize the electricity consumption in Tunisia in the long-run.

  5. Modelling energy demand in the Norwegian building stock

    Energy Technology Data Exchange (ETDEWEB)

    Sartori, Igor

    2008-07-15

    Energy demand in the building stock in Norway represents about 40% of the final energy consumption, of which 22% goes to the residential sector and 18% to the service sector. In Norway there is a strong dependency on electricity for heating purposes, with electricity covering about 80% of the energy demand in buildings. The building sector can play an important role in the achievement of a more sustainable energy system. The work performed in the articles presented in this thesis investigates various aspects related to the energy demand in the building sector, both in singular cases and in the stock as a whole. The work performed in the first part of this thesis on development and survey of case studies provided background knowledge that was then used in the second part, on modelling the entire stock. In the first part, a literature survey of case studies showed that, in a life cycle perspective, the energy used in the operating phase of buildings is the single most important factor. Design of low-energy buildings is then beneficial and should be pursued, even though it implies a somewhat higher embodied energy. A case study was performed on a school building. First, a methodology using a Monte Carlo method in the calibration process was explored. Then, the calibrated model of the school was used to investigate measures for the achievement of high energy efficiency standard through renovation work. In the second part, a model was developed to study the energy demand in a scenario analysis. The results showed the robustness of policies that included conservation measures against the conflicting effects of the other policies. Adopting conservation measures on a large scale showed the potential to reduce both electricity and total energy demand from present day levels while the building stock keeps growing. The results also highlighted the inertia to change of the building stock, due to low activity levels compared to the stock size. It also became clear that a deeper

  6. Models for predicting turnover of residential aged care nurses: a structural equation modelling analysis of secondary data.

    Science.gov (United States)

    Gao, Fengsong; Newcombe, Peter; Tilse, Cheryl; Wilson, Jill; Tuckett, Anthony

    2014-09-01

    Nurse turnover in the residential aged care industry is a pressing issue. Researchers have shown ongoing interest in exploring how the factors that are amendable to change in aged care policy, regulation and funding and in organizational procedures (e.g. job demands, coping resources and psychological health of nurses) impact on turnover. However, the findings are mixed. This study tested two theoretical models of turnover to examine the structural relationships among job demands, coping resources, psychological health and turnover of residential aged care nurses. Although many previous studies operationalized turnover as intention to leave, the present study investigated actual turnover by following up with the same individuals over time, and thus provided more accurate predictive models of turnover behaviour. The sample, 239 Australian residential aged care nurses, came from the Nurses and Midwives e-cohort Study. Job demands, coping resources, and psychological health were measured using standardized instruments. Structural equation modelling was used to test the measurement and structural models. Controlling for a number of workforce and individual characteristics, coping resources (measured by job control, supervisor support, and co-worker support) were negatively and directly associated with turnover. Additionally, the findings supported the Job Demand-Control-Support model in that higher coping resources and lower job demands (indicated by psychological demands, physical demands, and effort) were related to better psychological health (measured by vitality, social functioning, role emotional, and mental health), and higher job demands were related to lower coping resources. Findings suggest that aged care policy makers and service providers might consider increasing coping resources available to nurses and minimizing job demands of care work to reduce turnover and improve nurses' psychological health. Moreover, findings from this Australian study may provide

  7. Micro-CHP Systems for Residential Applications

    Energy Technology Data Exchange (ETDEWEB)

    Timothy DeValve; Benoit Olsommer

    2007-09-30

    homeowner. In its proposed embodiment, the system has a 2kW prime mover integrated to a furnace platform. The second version is a Micro-Trigen system with heating, cooling and power. It has the same Micro-Cogen platform integrated with a 14kW thermally activated chiller. A Stirling engine is suggested as a promising path for the prime mover. A LiBr absorption chiller is today's best technology in term of readiness level. Paybacks are acceptable for the Micro-Cogen version. However, there is no clear economically viable path for a Micro-Trigen version with today's available technology. This illustrates the importance of financial incentives to home owners in the initial stage of micro-CHP commercialization. It will help create the necessary conditions of volume demand to start transitioning to mass-production and cost reduction. Incentives to the manufacturers will help improve efficiency, enhance reliability, and lower cost, making micro-CHP products more attractive. Successful development of a micro-CHP system for residential applications has the potential to provide significant benefits to users, customers, manufacturers, and suppliers of such systems and, in general, to the nation as a whole. The benefits to the ultimate user are a comfortable and healthy home environment at an affordable cost, potential utility savings, and a reliable supply of energy. Manufacturers, component suppliers, and system integrators will see growth of a new market segment for integrated energy products. The benefits to the nation include significantly increased energy efficiency, reduced consumption of fossil fuels, pollutant and CO{sub 2} emissions from power generation, enhanced security from power interruptions as well as enhanced economic activity and job creation. An integrated micro-CHP energy system provides advantages over conventional power generation, since the energy is used more efficiently by means of efficient heat recovery. Foreign companies are readily selling

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

    International Nuclear Information System (INIS)

    Nichols, Brice G.; Kockelman, Kara M.

    2014-01-01

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

  9. Dynamics of final sectoral energy demand and aggregate energy intensity

    International Nuclear Information System (INIS)

    Lescaroux, Francois

    2011-01-01

    This paper proposes a regional and sectoral model of global final energy demand. For the main end-use sectors of consumption (industrial, commercial and public services, residential and road transportation), per-capita demand is expressed as an S-shaped function of per-capita income. Other variables intervene as well, like energy prices, temperatures and technological trends. This model is applied on a panel of 101 countries and 3 aggregates (covering the whole world) and it explains fairly well past variations in sectoral, final consumption since the beginning of the 2000s. Further, the model is used to analyze the dynamics of final energy demand, by sector and in total. The main conclusion concerns the pattern of change for aggregate energy intensity. The simulations performed show that there is no a priori reason for it to exhibit a bell-shape, as reported in the literature. Depending on initial conditions, the weight of basic needs in total consumption and the availability of modern commercial energy resources, various forms might emerge. - Research Highlights: → The residential sector accounts for most of final energy consumption at low income levels. → Its share drops at the benefit of the industrial, services and road transportation sectors in turn. → Sectoral shares' pattern is affected by changes in geographic, sociologic and economic factors. → Final energy intensity may show various shapes and does not exhibit necessarily a bell-shape.

  10. Integration of fuel cells into residential buildings

    International Nuclear Information System (INIS)

    Bell, J.M.; Entchev, E.; Gusdorf, J.; Szadkowski, F.; Swinton, M.; Kalbfleisch, W.; Marchand, R.

    2004-01-01

    Integration of small combined heat and power systems (CHP) into residential buildings is challenging as the loads are small, the load diversity is limited and there are a number of unresolved issues concerning sizing, control, peak loads, emergency operation, grid connection and export, etc. Natural Resources Canada has undertaken an initiative to investigate and develop techniques for the integration of small CHP systems into residential buildings using a highly instrumented house modified to allow quick installation and thorough monitoring of CHP integration techniques as well determining the performance of the CHP systems themselves when operating in a house. The first CHP system installed was a Stirling engine residential CHP system. It was used to examine the completeness of the CHP modifications to the house, to evaluate various building integration techniques and to measure the performance of the CHP system itself. The testing demonstrated the modified house to be an excellent facility for the development of CHP building integration techniques and the testing of residential CHP systems. The Stirling engine CHP system was found to operate well and produce meaningful input to the house. A second system (residential fuel cell) is presently being installed and building integration techniques and the performance of the fuel cell will be tested over the coming year. (author)

  11. Residentialization of Public Spaces: Bratislava Example

    Science.gov (United States)

    Bacová, Andrea; Puškár, Branislav; Vráblová, Edita

    2017-10-01

    The housing estates in Bratislava saturated the housing needs of a large number of inhabitants who come after World War II to the city. Design of public spaces often did not have priority in the process of designing. The solutions for mentioned exterior spaces had been planned after blocks of flat realization, but many of them are not realized to this day. The article analyzes the example of the unrealized public spaces in existing housing estates Devinska Nova Ves and Petržalka (city districts of Bratislava) and offer practical solutions in relation to residencialization method. Residencialization of missing public places is an effective method of adding identities to settlements. It improves the quality of residential environment and public spaces. The main aim is to create better conditions for social activities in public areas, which are missing on the present. The research will be focused on the examination of the urban, cultural and construction potential of the existing residential enviroment in Bratislava. The main aim of residentialization is not only to enhance the quality of spatial and building structures in the selected residential area and maintain long-term sustainability in the pertinent programme area, but mainly to improve the quality of living for the residents. The outputs of the project are proposals and practical procedures developed with regard to planning documents for local municipal authorities and regional organizations. The solutions will have a positive impact on the enhancement of the quality of public spaces, attractive social activities and of a conceptual link - residentialization.

  12. Aggregated Demand Modelling Including Distributed Generation, Storage and Demand Response

    OpenAIRE

    Marzooghi, Hesamoddin; Hill, David J.; Verbic, Gregor

    2014-01-01

    It is anticipated that penetration of renewable energy sources (RESs) in power systems will increase further in the next decades mainly due to environmental issues. In the long term of several decades, which we refer to in terms of the future grid (FG), balancing between supply and demand will become dependent on demand actions including demand response (DR) and energy storage. So far, FG feasibility studies have not considered these new demand-side developments for modelling future demand. I...

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

    International Nuclear Information System (INIS)

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

    2014-01-01

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

  14. 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.

  15. 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.

  16. 120 Years of U.S. Residential Housing Stock and Floor Space

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-08-11

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-05-15

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

  18. The impact of introducing patient co-payments in Germany on the use of IVF and ICSI: a price-elasticity of demand assessment.

    Science.gov (United States)

    Connolly, M P; Griesinger, G; Ledger, W; Postma, M J

    2009-11-01

    Authorities concerned by rising healthcare costs have a tendency to target reproductive treatments because of the perception that infertility is a low priority. In 2004 German health authorities introduced a 50% co-payment for patients, in an effort to save cost. We explored the impact of this pricing policy on the utilization of reproductive treatments in Germany. Using aggregated annual in-vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) cycle data in Germany, we evaluated the relationship between changes in the number of cycles in relation to changes in costs faced by consumers following the introduction of a patient co-payment from 'no fees' to 1500-2000 euros by estimating the short-run price-elasticity of demand. The impact of introducing patient co-payments for IVF/ICSI on the likelihood of switching to other low-cost fertility treatments was evaluated using the cross-price elasticity methodology. RESULTS The reduction in demand for IVF and ICSI cycles in the year following the introduction of patient co-payments resulted in elasticities of -0.41 and -0.34, respectively. The price-elasticity for the combined reduction of IVF/ICSI in relation to the co-payment was estimated to be -0.36. The cross-price elasticity for clomifene was close to zero (-0.01) suggesting that demand for these interventions are independent of each other and no substitution occurred. We report price elasticities for IVF and ICSI of -0.41 and -0.34 after introducing a 500-2000 euros co-payment. These findings likely represent short-run elasticities that are likely to vary over time as factors that influence the supply and demand for fertility treatments change.

  19. Sulphur demand growing. [Alberta

    Energy Technology Data Exchange (ETDEWEB)

    1975-01-20

    Sulfur markets look better going into 1975 than they have for several years, as North American demand growth is being filled largely by elemental sulfur producers and overseas. Demand is rising as fast as the capacity of Canadian transportation and handling facilities. It will take a long time to make much of a dent in the total Alberta stockpile of 14 million long tons at the end of 1974, with involuntary production from sour gas plants exceeding sales volume since 1972. However, there is some encouragement in the approaching peakout of production combined with a substantial increase in price since the low point of the cycle at the beginning of 1973, and a predicted rise of at least 20% in domestic (North American) sales this year over 1974.

  20. Analytical optimization of demand management strategies across all urban water use sectors

    Science.gov (United States)

    Friedman, Kenneth; Heaney, James P.; Morales, Miguel; Palenchar, John

    2014-07-01

    An effective urban water demand management program can greatly influence both peak and average demand and therefore long-term water supply and infrastructure planning. Although a theoretical framework for evaluating residential indoor demand management has been well established, little has been done to evaluate other water use sectors such as residential irrigation in a compatible manner for integrating these results into an overall solution. This paper presents a systematic procedure to evaluate the optimal blend of single family residential irrigation demand management strategies to achieve a specified goal based on performance functions derived from parcel level tax assessor's data linked to customer level monthly water billing data. This framework is then generalized to apply to any urban water sector, as exponential functions can be fit to all resulting cumulative water savings functions. Two alternative formulations are presented: maximize net benefits, or minimize total costs subject to satisfying a target water savings. Explicit analytical solutions are presented for both formulations based on appropriate exponential best fits of performance functions. A direct result of this solution is the dual variable which represents the marginal cost of water saved at a specified target water savings goal. A case study of 16,303 single family irrigators in Gainesville Regional Utilities utilizing high quality tax assessor and monthly billing data along with parcel level GIS data provide an illustrative example of these techniques. Spatial clustering of targeted homes can be easily performed in GIS to identify priority demand management areas.