WorldWideScience

Sample records for residential electricity usage

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

    International Nuclear Information System (INIS)

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

    2012-01-01

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

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

    DEFF Research Database (Denmark)

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

    2015-01-01

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

  3. Managing time-substitutable electricity usage using dynamic controls

    Science.gov (United States)

    Ghosh, Soumyadip; Hosking, Jonathan R.; Natarajan, Ramesh; Subramaniam, Shivaram; Zhang, Xiaoxuan

    2017-02-21

    A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

  4. Managing time-substitutable electricity usage using dynamic controls

    Science.gov (United States)

    Ghosh, Soumyadip; Hosking, Jonathan R.; Natarajan, Ramesh; Subramaniam, Shivaram; Zhang, Xiaoxuan

    2017-02-07

    A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1998-09-01

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

  6. 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...

  7. Regionally-varying and regionally-uniform electricity pricing policies compared across four usage categories

    International Nuclear Information System (INIS)

    Cho, Seong-Hoon; Kim, Taeyoung; Kim, Hyun Jae; Park, Kihyun; Roberts, Roland K.

    2015-01-01

    The objective of our research is to predict how electricity demand varies spatially between status quo regionally-uniform electricity pricing and hypothetical regionally-varying electricity pricing across usage categories. We summarize the empirical results of a case study of electricity demand in South Korea with three key findings and their related implications. First, the price elasticities of electricity demand differ across usage categories. Specifically, electricity demands for manufacturing and retail uses are price inelastic and close to unit elastic, respectively, while those for agricultural and residential uses are not statistically significant. This information is important in designing energy policy, because higher electricity prices could reduce electricity demands for manufacturing and retail uses, resulting in slower growth in those sectors. Second, spatial spillovers in electricity demand vary across uses. Understanding the spatial structure of electricity demand provides useful information to energy policy makers for anticipating changes in demand across regions via regionally-varying electricity pricing for different uses. Third, simulation results suggest that spatial variations among electricity demands by usage category under a regionally-varying electricity-pricing policy differ from those under a regionally-uniform electricity-pricing policy. Differences in spatial changes between the policies provide information for developing a realistic regionally-varying electricity-pricing policy according to usage category. - Highlights: • We compare regionally-varying and regionally-uniform electricity pricing policies. • We summarize empirical results of a case study of electricity demand in South Korea. • We confirm that spatial spillovers in electricity demands vary across different uses. • We find positive spatial spillovers in the manufacturing and residential sectors. • Our methods help policy makers evaluate regionally-varying pricing

  8. 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

  9. Assessing Residential Customer Satisfaction for Large Electric Utilities

    OpenAIRE

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

    2015-01-01

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

  10. Residential implementation of critical-peak pricing of electricity

    International Nuclear Information System (INIS)

    Herter, Karen

    2007-01-01

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

  11. Extracting Baseline Electricity Usage Using Gradient Tree Boosting

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Taehoon [Ulsan Nat. Inst. of Sci. & Tech., Ulsan (South Korea); Lee, Dongeun [Ulsan Nat. Inst. of Sci. & Tech., Ulsan (South Korea); Choi, Jaesik [Ulsan Nat. Inst. of Sci. & Tech., Ulsan (South Korea); Spurlock, Anna [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sim, Alex [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Todd, Annika [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wu, Kesheng [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2016-05-05

    To understand how specific interventions affect a process observed over time, we need to control for the other factors that influence outcomes. Such a model that captures all factors other than the one of interest is generally known as a baseline. In our study of how different pricing schemes affect residential electricity consumption, the baseline would need to capture the impact of outdoor temperature along with many other factors. In this work, we examine a number of different data mining techniques and demonstrate Gradient Tree Boosting (GTB) to be an effective method to build the baseline. We train GTB on data prior to the introduction of new pricing schemes, and apply the known temperature following the introduction of new pricing schemes to predict electricity usage with the expected temperature correction. Our experiments and analyses show that the baseline models generated by GTB capture the core characteristics over the two years with the new pricing schemes. In contrast to the majority of regression based techniques which fail to capture the lag between the peak of daily temperature and the peak of electricity usage, the GTB generated baselines are able to correctly capture the delay between the temperature peak and the electricity peak. Furthermore, subtracting this temperature-adjusted baseline from the observed electricity usage, we find that the resulting values are more amenable to interpretation, which demonstrates that the temperature-adjusted baseline is indeed effective.

  12. Factors Influencing the Usage of Compact Fluorescent Lamps in Existing Residential Buildings in Lagos, Nigeria

    Directory of Open Access Journals (Sweden)

    Olusola Olugbemileke Johnson

    2012-01-01

    Full Text Available Nigeria as a developing nation is facing increasing demand for electricity especially in the residential areas. The use of compact fluorescent lamps (CFLs is one of the several measures towards reducing the demand. However, in Nigeria, the use of CFLs is low. The present study was designed to investigate some factors responsible for the low usage of CFLs in Lagos, Nigeria. Questionnaires were administered by hand on 984 households, selected through systematic random sampling techniques from 5 local government areas in Lagos State. The first building along the major street in each of the local government was selected randomly and every tenth building constituted the sample. A household head was surveyed in each of the building selected, and was asked to rate some factors that might have influenced the usage of CFLs. The data generated from the questionnaire were analysed using ranking method. The findings show that inability to measure the saving benefits of CFLs on electricity bills, lack of affordability and high initial cost of acquisition and installation were the most important factors which influence the use of the CFLs. The study concludes by providing some recommendations on how to achieve sustainable energy management in the Lagos and beyond through more efficient residential house lighting.

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

    International Nuclear Information System (INIS)

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

    1993-01-01

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

  14. 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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2017-04-01

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

  16. 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.

  17. Towards quantitative evaluation of privacy protection schemes for electricity usage data sharing

    Directory of Open Access Journals (Sweden)

    Daisuke Mashima

    2018-03-01

    Full Text Available Thanks to the roll-out of smart meters, availability of fine-grained electricity usage data has rapidly grown. Such data has enabled utility companies to perform robust and efficient grid operations. However, at the same time, privacy concerns associated with sharing and disclosure of such data have been raised. In this paper, we first demonstrate the feasibility of estimating privacy-sensitive household attributes based solely on the energy usage data of residential customers. We then discuss a framework to measure privacy gain and evaluate the effectiveness of customer-centric privacy-protection schemes, namely redaction of data irrelevant to services and addition of bounded artificial noise. Keywords: Privacy, Smart meter data, Quantitative evaluation

  18. 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.

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

    International Nuclear Information System (INIS)

    MacDonald, C.

    2003-07-01

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

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

    International Nuclear Information System (INIS)

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

    2013-01-01

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

  1. 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)

  2. 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)

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

    International Nuclear Information System (INIS)

    Craig, Christopher A.; Feng, Song

    2017-01-01

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

  4. 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.

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

    OpenAIRE

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

    2014-01-01

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

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

    DEFF Research Database (Denmark)

    Kim, Jinwon; Brownstone, David

    2013-01-01

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

  7. 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.

  8. Restructuring and the retail residential market for power in Pennsylvania

    International Nuclear Information System (INIS)

    Kleit, Andrew N.; Shcherbakova, Anastasia V.; Chen Xu

    2012-01-01

    In January 2010 electricity retail residential rate caps expired in a large part of Pennsylvania, allowing consumers to shop for electricity in the retail market. In this paper we employ customer-level data from the relevant territory to analyze what residential customer and community characteristics impacted the decision of whether or not to switch to an alternative electricity provider, and when to make the switch. Results show that customers with higher usage levels (especially around the time of the program's introduction), electric heating, and those living in more urban and more educated communities with lower unemployment rates and higher median household incomes were both more likely to switch, and more likely to do so faster. Lower switching rates and a slower switching response was observed from customers with more variable month to month usage (perhaps this made them unsure of future benefits from switching), those on alternative residential electricity rates (time-of-day and thermal storage programs), and those new to the relevant area (perhaps due to lack of information about the residential choice program). Critics of retail electricity competition have suggested that it disadvantages poor and elderly ratepayers. Our results do not support this contention. Customers living in communities with higher poverty rates were actually more likely to switch (and do so faster) than middle-income consumers. Communities with higher shares of senior population were not found to have lower switching rates from younger communities. - Highlights: ► We analyze introduction of retail competition in Pennsylvania's electricity sector. ► We evaluate what characteristics influence consumers to switch electric providers. ► Higher usage and electric heat influence customers to switch and to do so faster. ► More variable usage and being new to service area deter switching. ► High poverty rates induce switching; older communities no less likely to switch.

  9. Residential water usage: A case study of the major cities of the western region of Saudi Arabia

    Science.gov (United States)

    Abu Rizaiza, Omar S.

    1991-05-01

    Socioeconomic and climatological data of the major cities of the western region of Saudi Arabia have been used to develop several models to estimate the residential water usage for different kinds of houses. The developed models correlate the residential water usages with temperature, income, family size, price of water, and availability of a garden within the house. The study shows that the residential water uses in houses supplied by a public pipe network are 1.4-2 times greater than the residential water uses in houses supplied by tankers. It also shows that the price elasticities are very similar to those estimated in the United States. Income elasticities, on the other hand, are lower than those typically found in more industrialized countries.

  10. 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

  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. The Sensitivity of Residential Electricity Demand in Indonesia

    Directory of Open Access Journals (Sweden)

    Stranti Nastiti Kusumaningrum

    2018-03-01

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

  13. Estimating elasticity for residential electricity demand in China.

    Science.gov (United States)

    Shi, G; Zheng, X; Song, F

    2012-01-01

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

  14. 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.

  15. Residential air-conditioner usage in China and efficiency standardization

    International Nuclear Information System (INIS)

    Wu, Jianghong; Liu, Chaopeng; Li, Hongqi; Ouyang, Dong; Cheng, Jianhong; Wang, Yuanxia; You, Shaofang

    2017-01-01

    Determining the real energy consumption and usage pattern of a room air-conditioner (RAC) are important issues from the point of view of both RAC design and evaluation of its energy efficiency. An air-conditioner's running time is fundamental data for the calculation of SEER and APF values. Therefore, in 2010, a nationwide investigation of RAC usage was conducted and 400 selected air-conditioning-units were monitored for a full year to obtain data on their cooling and heating usage. Two running time curves (cooling and heating) were obtained for the air-conditioners as a function of outdoor air temperatures using statistical analysis. The results show that the 27–30 °C temperature range accounts for more than 52% of the cooling time. Conversely, the 0–8 °C temperature range is associated with more than 75% of the heating time. The research presented in this paper has significantly contributed to China's new variable-speed RAC efficiency standard (GB21455-2013). It also has far-reaching implications for both the air-conditioner industry and energy policy in China due to its different method of calculating energy efficiency. - Highlights: • A nationwide survey to realize China's residential air-conditions usage behaviors. • Air-conditioner running time-environment temperature curves are obtained. • The peak heating demand and peak cooling demand happen at 28 °C and 4 °C, respectively. • The temperature of 27 °C–30 °C accounts for over 52% refrigeration time. • The temperature of 0 °C–8 °C occupies more than 75% heating time.

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

    International Nuclear Information System (INIS)

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

    2012-01-01

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

  17. 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.

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

    Directory of Open Access Journals (Sweden)

    Yanan Liu

    2016-10-01

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

  19. 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

  20. Electricity usage scheduling in smart building environments using smart devices.

    Science.gov (United States)

    Lee, Eunji; Bahn, Hyokyung

    2013-01-01

    With the recent advances in smart grid technologies as well as the increasing dissemination of smart meters, the electricity usage of every moment can be detected in modern smart building environments. Thus, the utility company adopts different price of electricity at each time slot considering the peak time. This paper presents a new electricity usage scheduling algorithm for smart buildings that adopts real-time pricing of electricity. The proposed algorithm detects the change of electricity prices by making use of a smart device and changes the power mode of each electric device dynamically. Specifically, we formulate the electricity usage scheduling problem as a real-time task scheduling problem and show that it is a complex search problem that has an exponential time complexity. An efficient heuristic based on genetic algorithms is performed on a smart device to cut down the huge searching space and find a reasonable schedule within a feasible time budget. Experimental results with various building conditions show that the proposed algorithm reduces the electricity charge of a smart building by 25.6% on average and up to 33.4%.

  1. A privacy-preserving sharing method of electricity usage using self-organizing map

    Directory of Open Access Journals (Sweden)

    Yuichi Nakamura

    2018-03-01

    Full Text Available Smart meters for measuring electricity usage are expected in electricity usage management. Although the relevant power supplier stores the measured data, the data are worth sharing among power suppliers because the entire data of a city will be required to control the regional grid stability or demand–supply balance. Even though many techniques and methods of privacy-preserving data mining have been studied to share data while preserving data privacy, a study on sharing electricity usage data is still lacking. In this paper, we propose a sharing method of electricity usage while preserving data privacy using a self-organizing map. Keywords: Privacy preserving, Data sharing, Self-Organizing map

  2. 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)

  3. 77 FR 2743 - Recovery Directorate Fact Sheet 9580.213, Residential Electrical Meter Repair-“Power Up”

    Science.gov (United States)

    2012-01-19

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

  4. 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

  5. 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.

  6. 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)

  7. 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)

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

    Directory of Open Access Journals (Sweden)

    Wai-Ming To

    2017-06-01

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

  9. User Behavior Assessment of Household Electric Usage

    Directory of Open Access Journals (Sweden)

    Nur Budi Mulyono

    2014-02-01

    Full Text Available Abstract. Energy resilience is one of the famous issues among researchers and practitioners in energy sector. With enabling new technologies in power engineering for smart grid such as distributed generation, distributed storage, and intelligent information and management, each household community can establish a resilience energy production, distribution, and consumption. A household in smart grid system behaves as a customer and producer at the same time. This condition enabled them to reduce the power shortage in the peak hours, reduce CO2 pollution using renewable electricity, and minimizing electricity usage by changing life style. In developing countries, the amount of electricity supply is less than its demand. Most of the demand comes from the household that has peak load on nighttime. Keywords: User behavior, Game theory, Smart grid, Heating and cooling appliances, Energy resilientdoi:10.12695/ajtm.2013.6.2.1 How to cite this article:Mulyono, N. B. (2013. User Behavior Assessment of Household Electric Usage. The Asian Journal of Technology Management 6 (2: 65-71. Print ISSN: 1978-6956; Online ISSN: 2089-791X. doi:10.12695/ajtm.2013.6.2.1  

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. The effects of electric vehicles on residential households in the city of Indianapolis

    International Nuclear Information System (INIS)

    Huang Shisheng; Safiullah, Hameed; Xiao Jingjie; Hodge, Bri-Mathias S.; Hoffman, Ray; Soller, Joan; Jones, Doug; Dininger, Dennis; Tyner, Wallace E.; Liu, Andrew; Pekny, Joseph F.

    2012-01-01

    There is an increasing impetus to transform the U.S transportation sector and transition away from the uncertainties of oil supply. One of the most viable current solutions is the adoption of electric vehicles (EVs). These vehicles allow for a transportation system that would be flexible in its fuel demands. However, utilities may need to address questions such as distribution constraints, electricity tariffs and incentives and public charging locations before large scale electric vehicle adoption can be realized. In this study, the effect of electric vehicles on households in Indianapolis is examined. A four-step traffic flow model is used to characterize the usage characteristics of vehicles in the Indianapolis metropolitan area. This data is then used to simulate EV usage patterns which can be used to determine household electricity usage characteristics. These results are differentiated by the zones with which the households are associated. Economic costs are then calculated for the individual households. Finally, possible public charging locations are examined. - Highlights: ► Traffic flow modeling is used to accurately characterize EV usage in Indianapolis. ► EV usage patterns are simulated to determine household electricity usage patterns. ► Economic costs are calculated for the households for electric vehicles. ► Possible public charging locations are examined.

  15. 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....

  16. 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.

  17. Residential implementation of critical-peak pricing ofelectricity

    Energy Technology Data Exchange (ETDEWEB)

    Herter, Karen

    2006-06-29

    This paper investigates how critical-peak pricing (CPP)affects households with different usage and income levels, with the goalof informing policy makers who are considering the implementation of CPPtariffs in the residential sector. Using a subset of data from theCalifornia Statewide Pricing Pilot of 2003-2004, average load changeduring summer events, annual percent bill change, and post-experimentsatisfaction ratings are calculated across six customer segments,categorized by historical usage and income levels. Findings show thathigh-use customers respond significantly more in kW reduction than dolow-use customers, while low-use customers save significantly more inpercentage reduction of annual electricity bills than do high-usecustomers results that challenge the strategy of targeting only high-usecustomers for CPP tariffs. Across income levels, average load and billchanges were statistically indistinguishable, as were satisfaction ratesresults that are compatible with a strategy of full-scale implementationof CPP rates in the residential sector. Finally, the high-use customersearning less than $50,000 annually were the most likely of the groups tosee bill increases about 5 percent saw bill increases of 10 percent ormore suggesting that any residential CPP implementation might considertargeting this customer group for increased energy efficiencyefforts.

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

    DEFF Research Database (Denmark)

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

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

  19. How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data

    International Nuclear Information System (INIS)

    Matsumoto, Shigeru

    2016-01-01

    Although both appliance ownership and usage patterns determine residential electricity consumption, it is less known how households actually use their appliances. In this study, we conduct conditional demand analyses to break down total household electricity consumption into a set of demand functions for electricity usage, across 12 appliance categories. We then examine how the socioeconomic characteristics of the households explain their appliance usage. Analysis of micro-level data from the Nation Survey of Family and Expenditure in Japan reveals that the family and income structure of households affect appliance usage. Specifically, we find that the presence of teenagers increases both air conditioner and dishwasher use, labor income and nonlabor income affect microwave usage in different ways, air conditioner usage decreases as the wife's income increases, and microwave usage decreases as the husband's income increases. Furthermore, we find that households use more electricity with new personal computers than old ones; this implies that the replacement of old personal computers increases electricity consumption. - Highlights: •We conduct conditional demand analyses to study household appliance usage. •Micro-level data from the National Survey of Family and Expenditure in Japan are analyzed. •We show how household characteristics determine appliance usage. •High-income households use specific appliances less intensively than low-income households. •The replacement of old TVs and PCs lead to greater electricity consumption.

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

    Science.gov (United States)

    Sakai, Mihoko

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

  1. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1992-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Stephen Treado

    2015-10-01

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

  4. On Global Electricity Usage of Communication Technology: Trends to 2030

    Directory of Open Access Journals (Sweden)

    Anders S. G. Andrae

    2015-04-01

    Full Text Available This work presents an estimation of the global electricity usage that can be ascribed to Communication Technology (CT between 2010 and 2030. The scope is three scenarios for use and production of consumer devices, communication networks and data centers. Three different scenarios, best, expected, and worst, are set up, which include annual numbers of sold devices, data traffic and electricity intensities/efficiencies. The most significant trend, regardless of scenario, is that the proportion of use-stage electricity by consumer devices will decrease and will be transferred to the networks and data centers. Still, it seems like wireless access networks will not be the main driver for electricity use. The analysis shows that for the worst-case scenario, CT could use as much as 51% of global electricity in 2030. This will happen if not enough improvement in electricity efficiency of wireless access networks and fixed access networks/data centers is possible. However, until 2030, globally-generated renewable electricity is likely to exceed the electricity demand of all networks and data centers. Nevertheless, the present investigation suggests, for the worst-case scenario, that CT electricity usage could contribute up to 23% of the globally released greenhouse gas emissions in 2030.

  5. 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)

  6. 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)

  7. 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.

  8. 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.

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

    International Nuclear Information System (INIS)

    Alberini, Anna; Towe, Charles

    2015-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-07-01

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

  11. Understanding usage patterns of electric kettle and energy saving potential

    International Nuclear Information System (INIS)

    Murray, D.M.; Liao, J.; Stankovic, L.; Stankovic, V.

    2016-01-01

    Highlights: • Time-of-use analysis to motivate kettle usage and consumption prediction. • Identification of households whose kettle usage and consumption is outside the norm. • Mathematical model to estimate water volume from consumed power measurements only. • Quantification of energy savings if a household uses its kettle more efficiently. • Kettle usage and demand prediction using an Adaptive Neuro Fuzzy Inference System. - Abstract: The availability of smart metering and smart appliances enables detecting and characterising appliance use in a household, quantifying energy savings through efficient appliance use and predicting appliance-specific demand from load measurements is possible. With growing electric kettle ownership and usage, lack of any efficiency labelling guidelines for the kettle, slow technological progress in improving kettle efficiency relative to other domestic appliances, and current consumer attitudes, urgent investigation into consumer kettle usage patterns is warranted. From an efficiency point of view, little can be done about the kettle, which is more efficient than other methods of heating water such as the stove top kettle. However, since a majority households use the kettle inefficiently by overfilling, in order to meet energy targets, it is imperative to quantify inefficient usage and predict demand. For the purposes of scalability, we propose tools that depend only on load measurement data for quantifying and visualising kettle usage and energy consumption, assessing energy wastage through overfilling via our proposed electric kettle model, and predicting kettle-specific demand, from which we can estimate potential energy savings in a household and across a housing stock. This is demonstrated using data from a longitudinal study across a sample of 14 UK households for a two-year period.

  12. 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

  13. Development of Microcontroller-Based Inverter Control Circuit for Residential Wind Generator Application

    OpenAIRE

    Ahmad Firdaus Ahmad Zaidi; Riza Muhida; Ahmad Mujahid Ahmad Zaidi; Sazali Yaacob; Nur Hidayah Ahmad Zaidi

    2011-01-01

    The current usage level of wind power as alternative source of energy in Malaysia is very low. Ironically, some areas particularly coastal area has steady wind energy supply that is potential to generate electricity for residential use. There is urgent need to locally develop the low cost wind turbine generator that has the capability to not only supply electricity to respective household but can be connected to power grid so that excess power could be sold back to the local utility company. ...

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

    Science.gov (United States)

    Darghouth, Naim Richard

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

  15. 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.

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

    Science.gov (United States)

    Bhattacharjee, Ujjwal

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

  17. 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...

  18. 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

  19. Smart Grid Adoption Likeliness Framework: Comparing Idaho and National Residential Consumers' Perceptions

    Science.gov (United States)

    Baiya, Evanson G.

    New energy technologies that provide real-time visibility of the electricity grid's performance, along with the ability to address unusual events in the grid and allow consumers to manage their energy use, are being developed in the United States. Primary drivers for the new technologies include the growing energy demand, tightening environmental regulations, aging electricity infrastructure, and rising consumer demand to become more involved in managing individual energy usage. In the literature and in practice, it is unclear if, and to what extent, residential consumers will adopt smart grid technologies. The purpose of this quantitative study was to examine the relationships between demographic characteristics, perceptions, and the likelihood of adopting smart grid technologies among residential energy consumers. The results of a 31-item survey were analyzed for differences within the Idaho consumers and compared against national consumers. Analysis of variance was used to examine possible differences between the dependent variable of likeliness to adopt smart grid technologies and the independent variables of age, gender, residential ownership, and residential location. No differences were found among Idaho consumers in their likeliness to adopt smart grid technologies. An independent sample t-test was used to examine possible differences between the two groups of Idaho consumers and national consumers in their level of interest in receiving detailed feedback information on energy usage, the added convenience of the smart grid, renewable energy, the willingness to pay for infrastructure costs, and the likeliness to adopt smart grid technologies. The level of interest in receiving detailed feedback information on energy usage was significantly different between the two groups (t = 3.11, p = .0023), while the other variables were similar. The study contributes to technology adoption research regarding specific consumer perceptions and provides a framework that

  20. Usage monitoring of electrical devices in a smart home.

    Science.gov (United States)

    Rahimi, Saba; Chan, Adrian D C; Goubran, Rafik A

    2011-01-01

    Profiling the usage of electrical devices within a smart home can be used as a method for determining an occupant's activities of daily living. A nonintrusive load monitoring system monitors the electrical consumption at a single electrical source (e.g., main electric utility service entry) and the operating schedules of individual devices are determined by disaggregating the composite electrical consumption waveforms. An electrical device's load signature plays a key role in nonintrusive load monitoring systems. A load signature is the unique electrical behaviour of an individual device when it is in operation. This paper proposes a feature-based model, using the real power and reactive power as features for describing the load signatures of individual devices. Experimental results for single device recognition for 7 devices show that the proposed approach can achieve 100% classification accuracy with discriminant analysis using Mahalanobis distances.

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

    DEFF Research Database (Denmark)

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

    2015-01-01

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

  2. PRN 2011-1: Residential Exposure Joint Venture

    Science.gov (United States)

    This PR Notice is to advise registrants of an industry-wide joint venture, titled the Residential Exposure Joint Venture (REJV), which has developed a national survey regarding residential consumer use/usage data for pesticides.

  3. The development on electric discharge machine for hot cell usage

    International Nuclear Information System (INIS)

    Ahn, Sang Bok; Kim, Young Suk; Park, Dae Kyu; Choo, Yong Sun; Oh, Wan Ho

    1998-06-01

    The electric discharge machine(EDM) was developed for hot cell usages in IMEF. This machine will be used to fabricate specimen directly from irradiated components from NPP's. The detailed contents are as follows; 1. Outline of electric discharge machine 2. Specimen shape to be fabricated by EDM 3. Technical specification to manufacture EDM 4. Installation EDM in hot cell 5. Optimum discharge conditions to fabricate specimens from CANDU tube. (author). 4 tabs., 20 figs

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

    International Nuclear Information System (INIS)

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

    2015-01-01

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

  5. Real-Time Recognition Non-Intrusive Electrical Appliance Monitoring Algorithm for a Residential Building Energy Management System

    Directory of Open Access Journals (Sweden)

    Kofi Afrifa Agyeman

    2015-08-01

    Full Text Available The concern of energy price hikes and the impact of climate change because of energy generation and usage forms the basis for residential building energy conservation. Existing energy meters do not provide much information about the energy usage of the individual appliance apart from its power rating. The detection of the appliance energy usage will not only help in energy conservation, but also facilitate the demand response (DR market participation as well as being one way of building energy conservation. However, energy usage by individual appliance is quite difficult to estimate. This paper proposes a novel approach: an unsupervised disaggregation method, which is a variant of the hidden Markov model (HMM, to detect an appliance and its operation state based on practicable measurable parameters from the household energy meter. Performing experiments in a practical environment validates our proposed method. Our results show that our model can provide appliance detection and power usage information in a non-intrusive manner, which is ideal for enabling power conservation efforts and participation in the demand response market.

  6. Towards a Residential Air-Conditioner Usage Model for Australia

    Directory of Open Access Journals (Sweden)

    Mark Goldsworthy

    2017-08-01

    Full Text Available Realistic models of occupant behaviour in relation to air-conditioner (a/c use are fundamentally important for developing accurate building energy simulation tools. In Australia and elsewhere, such simulation tools are inextricably bound both in legislation and in the design of new technology, electricity infrastructure and regulatory schemes. An increasing number of studies in the literature confirm just how important occupants are in determining overall energy consumption, but obtaining the data on which to build behaviour models is a non-trivial task. Here data is presented on air-conditioner usage derived from three different types of case study analyses. These are: (i use of aggregate energy consumption data coupled with weather, demographic and building statistics across Australia to estimate key predictors of energy use at the aggregate level; (ii use of survey data to determine characteristic a/c switch on/off behaviours and usage frequencies; and (iii use of detailed household level sub-circuit monitoring from 140 households to determine a/c switch on/off probabilities and their dependence on different building and occupant parameters. These case studies are used to assess the difficulties associated with translation of different forms of individual, aggregate and survey based information into a/c behaviour simulation models. Finally a method of linking the data gathering methodologies with the model development is suggested. This method would combine whole-of-house “smart”-meter data measurements with linked targeted occupant surveying.

  7. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-05-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-12-04

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

  10. 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

  11. Predicting Baseline for Analysis of Electricity Pricing

    Energy Technology Data Exchange (ETDEWEB)

    Kim, T. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Lee, D. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Choi, J. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Spurlock, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sim, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Todd, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wu, K. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2016-05-03

    To understand the impact of new pricing structure on residential electricity demands, we need a baseline model that captures every factor other than the new price. The standard baseline is a randomized control group, however, a good control group is hard to design. This motivates us to devlop data-driven approaches. We explored many techniques and designed a strategy, named LTAP, that could predict the hourly usage years ahead. The key challenge in this process is that the daily cycle of electricity demand peaks a few hours after the temperature reaching its peak. Existing methods rely on the lagged variables of recent past usages to enforce this daily cycle. These methods have trouble making predictions years ahead. LTAP avoids this trouble by assuming the daily usage profile is determined by temperature and other factors. In a comparison against a well-designed control group, LTAP is found to produce accurate predictions.

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

    NARCIS (Netherlands)

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

    2018-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-10-27

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

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

    OpenAIRE

    Severin Borenstein

    2015-01-01

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

  15. 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)

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

    International Nuclear Information System (INIS)

    Swadley, Adam; Yücel, Mine

    2011-01-01

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

  17. Reducing Electricity Demand Peaks by Scheduling Home Appliances Usage

    DEFF Research Database (Denmark)

    Rossello Busquet, Ana; Kardaras, Georgios; Iversen, Villy Bæk

    2011-01-01

    Nowadays there is a tendency to consume electricity during the same period of the day leading to demand peaks. Regular energy consumption habits lead to demand peaks at specific temporal intervals, because users consume power at the same time. In order to avoid demand peaks, users’ appliances...... should consume electricity in a more temporarily distributed way. A new methodology to schedule the usage of home appliances is proposed and analyzed in this paper. The main concept behind this approach is the aggregation of home appliances into priority classes and the definition of a maximum power...... consumption limit, which is not allowed to be exceeded during peak hours. The scenario simulated describes a modern household, where the electrical devices are classified in low and high priority groups. The high priority devices are always granted power in order to operate without temporal restrictions...

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

    DEFF Research Database (Denmark)

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

    2012-01-01

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

  19. Development of the Optimum Operation Scheduling Model of Domestic Electric Appliances for the Supply-Demand Adjustment in a Power System

    Science.gov (United States)

    Ikegami, Takashi; Iwafune, Yumiko; Ogimoto, Kazuhiko

    The high penetration of variable renewable generation such as Photovoltaic (PV) systems will cause the issue of supply-demand imbalance in a whole power system. The activation of the residential power usage, storage and generation by sophisticated scheduling and control using the Home Energy Management System (HEMS) will be needed to balance power supply and demand in the near future. In order to evaluate the applicability of the HEMS as a distributed controller for local and system-wide supply-demand balances, we developed an optimum operation scheduling model of domestic electric appliances using the mixed integer linear programming. Applying this model to several houses with dynamic electricity prices reflecting the power balance of the total power system, it was found that the adequate changes in electricity prices bring about the shift of residential power usages to control the amount of the reverse power flow due to excess PV generation.

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

    Directory of Open Access Journals (Sweden)

    MAYTHAM S. AHMED

    2017-05-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-02-15

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

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

    Science.gov (United States)

    Nagarajan, Adarsh; Shireen, Wajiha

    2013-06-01

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

  3. 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

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

    Energy Technology Data Exchange (ETDEWEB)

    Livingston, Olga V.; Cort, Katherine A.

    2011-03-03

    study attempts to bridge that gap by analyzing behavioral data and investigate the applicability of additive nonparametric regression to this task. This study evaluates the impact of 31 regressors on residential natural gas usage. The regressors include weather, economic variables, demographic and behavioral characteristics, and building attributes related to energy use. In general, most of the regression results were in line with previous engineering and economic studies in this area. There were, however, some counterintuitive results, particularly with regard to thermostat controls and behaviors. There are a number of possible reasons for these counterintuitive results including the inability to control for regional climate variability due to the data sanitization (to prevent identification of respondents), inaccurate data caused by to self-reporting, and the fact that not all relevant behavioral variables were included in the data set, so we were not able to control for them in the study. The results of this analysis could be used as an in-sample prediction for approximating energy demand of a residential building whose characteristics are described by the regressors in this analysis, but a certain combination of their particular values does not exist in the real world. In addition, this study has potential applications for benefit-cost analysis of residential upgrades and retrofits under a fixed budget, because the results of this study contain information on how natural gas consumption might change once a particular characteristic or attribute is altered. Finally, the results of this study can help establish a relationship between natural gas consumption and changes in behavior of occupants.

  5. TEP Power Partners Project [Tucson Electric Power

    Energy Technology Data Exchange (ETDEWEB)

    None, None

    2014-02-06

    The Arizona Governor’s Office of Energy Policy, in partnership with Tucson Electric Power (TEP), Tendril, and Next Phase Energy (NPE), formed the TEP Power Partners pilot project to demonstrate how residential customers could access their energy usage data and third party applications using data obtained from an Automatic Meter Reading (AMR) network. The project applied for and was awarded a Smart Grid Data Access grant through the U.S. Department of Energy. The project participants’ goal for Phase I is to actively engage 1,700 residential customers to demonstrate sustained participation, reduction in energy usage (kWh) and cost ($), and measure related aspects of customer satisfaction. This Demonstration report presents a summary of the findings, effectiveness, and customer satisfaction with the 15-month TEP Power Partners pilot project. The objective of the program is to provide residential customers with energy consumption data from AMR metering and empower these participants to better manage their electricity use. The pilot recruitment goals included migrating 700 existing customers from the completed Power Partners Demand Response Load Control Project (DRLC), and enrolling 1,000 new participants. Upon conclusion of the project on November 19, 2013; 1,390 Home Area Networks (HANs) were registered; 797 new participants installed a HAN; Survey respondents’ are satisfied with the program and found value with a variety of specific program components; Survey respondents report feeling greater control over their energy usage and report taking energy savings actions in their homes after participating in the program; On average, 43 % of the participants returned to the web portal monthly and 15% returned weekly; and An impact evaluation was completed by Opinion Dynamics and found average participant savings for the treatment period1 to be 2.3% of their household use during this period.2 In total, the program saved 163 MWh in the treatment period of 2013.

  6. 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

  7. 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

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

    International Nuclear Information System (INIS)

    Oliver, Henry; Volschenk, Jako; Smit, Eon

    2011-01-01

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

  9. Customer-economics of residential photovoltaic systems (Part 1): The impact of high renewable energy penetrations on electricity bill savings with net metering

    International Nuclear Information System (INIS)

    Darghouth, Naïm R.; Barbose, Galen; Wiser, Ryan H.

    2014-01-01

    Residential photovoltaic (PV) systems in the US are often compensated at the customer's underlying retail electricity rate through net metering. Given the uncertainty in future retail rates and the inherent links between rates and the customer–economics of behind-the-meter PV, there is growing interest in understanding how potential changes in rates may impact the value of bill savings from PV. In this article, we first use a production cost and capacity expansion model to project California hourly wholesale electricity market prices under two potential electricity market scenarios, including a reference and a 33% renewables scenario. Second, based on the wholesale electricity market prices generated by the model, we develop retail rates (i.e., flat, time-of-use, and real-time pricing) for each future scenario based on standard retail rate design principles. Finally, based on these retail rates, the bill savings from PV is estimated for 226 California residential customers under two types of net metering, for each scenario. We find that high renewable penetrations can drive substantial changes in residential retail rates and that these changes, together with variations in retail rate structures and PV compensation mechanisms, interact to place substantial uncertainty on the future value of bill savings from residential PV. - Highlights: • We investigate the impact of high renewables on customer economics of solar. • We model three types of residential retail electricity rates. • Based on the rates, we calculate the bill savings from photovoltaic (PV) generation. • High renewables penetration can lead to lower bill savings with time-varying rates. • There is substantial uncertainty in the future bill savings from residential PV

  10. 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

  11. Impact of residential PV adoption on Retail Electricity Rates

    International Nuclear Information System (INIS)

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

    2013-01-01

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

  12. Energy labeling for electric fans in Malaysia

    International Nuclear Information System (INIS)

    Mahlia, T.M.I.; Masjuki, H.H.; Taha, F.M.; Rahim, N.A.; Saidur, R.

    2005-01-01

    To reduce energy consumption in the residential sector, Malaysia Energy Commission is considering implementing energy labels for household electrical appliances including electric fans in 2005. The purpose of the energy labels is to provide the consumers a guideline to compare the size, features, price and efficiency of the appliance. This paper discusses the energy label for electric fans in this country based on Malaysian Standards developed by a technical committee that reviewed the performance of household electrical appliances. This study includes methodology for the calculation of the energy efficiency star rating and projected energy usage, performance requirements, details of the energy label and the requirements for the valid application in Malaysia. The label also can be adopted for other household electrical appliances with only slight modifications

  13. 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.

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

    International Nuclear Information System (INIS)

    Schwarzburger, Heiko

    2017-01-01

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

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

    DEFF Research Database (Denmark)

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

    2013-01-01

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

  16. Reconciling Consumer and Utility Objectives in the Residential Solar PV Market

    Science.gov (United States)

    Arnold, Michael R.

    Today's energy market is facing large-scale changes that will affect all market players. Near the top of that list is the rapid deployment of residential solar photovoltaic (PV) systems. Yet that growing trend will be influenced multiple competing interests between various stakeholders, namely the utility, consumers and technology provides. This study provides a series of analyses---utility-side, consumer-side, and combined analyses---to understand and evaluate the effect of increases in residential solar PV market penetration. Three urban regions have been selected as study locations---Chicago, Phoenix, Seattle---with simulated load data and solar insolation data at each locality. Various time-of-use pricing schedules are investigated, and the effect of net metering is evaluated to determine the optimal capacity of solar PV and battery storage in a typical residential home. The net residential load profile is scaled to assess system-wide technical and economic figures of merit for the utility with an emphasis on intraday load profiles, ramp rates and electricity sales with increasing solar PV penetration. The combined analysis evaluates the least-cost solar PV system for the consumer and models the associated system-wide effects on the electric grid. Utility revenue was found to drop by 1.2% for every percent PV penetration increase, net metering on a monthly or annual basis improved the cost-effectiveness of solar PV but not battery storage, the removal of net metering policy and usage of an improved the cost-effectiveness of battery storage and increases in solar PV penetration reduced the system load factor. As expected, Phoenix had the most favorable economic scenario for residential solar PV, primarily due to high solar insolation. The study location---solar insolation and load profile---was also found to affect the time of year at which the largest net negative system load was realized.

  17. Miscellaneous electricity use in U.S. homes

    International Nuclear Information System (INIS)

    Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

    1999-01-01

    Historically, residential energy and carbon saving efforts have targeted conventional end uses such as water heating, lighting and refrigeration. The emergence of new household appliances has transformed energy use from a few large and easily identifiable end uses into a broad array of ''miscellaneous'' energy services. This group of so called miscellaneous appliances has been a major contributor to growth in electricity demand in the past two decades. We use industry shipment data, lifetimes, and wattage and usage estimates of over 90 individual products to construct a bottom-up end use model (1976-2010). The model is then used to analyze historical and forecasted growth trends, and to identify the largest individual products within the miscellaneous end use. We also use the end use model to identify and analyze policy priorities. Our forecast projects that over the period 1996 to 2010, miscellaneous consumption will increase 115 TWh, accounting for over 90 percent of future residential electricity growth. A large portion of this growth will be due to halogen torchiere lamps and consumer electronics, making these two components of miscellaneous electricity a particularly fertile area for efficiency programs. Approximately 20 percent (40 TWh) of residential miscellaneous electricity is ''leaking electricity'' or energy consumed by appliances when they are not performing their principal function. If the standby power of all appliances with a standby mode is reduced to one watt, the potential energy savings equal 21 TWh/yr, saving roughly$1-2 billion annually

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

    Science.gov (United States)

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

    2018-05-05

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

  19. 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)

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

    Directory of Open Access Journals (Sweden)

    Jeffrey Tamba Dellosa

    2016-11-01

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

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

    International Nuclear Information System (INIS)

    Wakui, Tetsuya; Wada, Naohiro; Yokoyama, Ryohei

    2012-01-01

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

  2. 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.

  3. An assessment of household electricity load curves and corresponding CO2 marginal abatement cost curves for Gujarat state, India

    International Nuclear Information System (INIS)

    Garg, Amit; Shukla, P.R.; Maheshwari, Jyoti; Upadhyay, Jigeesha

    2014-01-01

    Gujarat, a large industrialized state in India, consumed 67 TWh of electricity in 2009–10, besides experiencing a 4.5% demand–supply short-fall. Residential sector accounted for 15% of the total electricity consumption. We conducted load research survey across 21 cities and towns of the state to estimate residential electricity load curves, share of appliances by type and usage patterns for all types of household appliances at utility, geographic, appliance, income and end-use levels. The results indicate that a large scope exists for penetration of energy efficient devices in residential sector. Marginal Abatement Cost (MAC) curves for electricity and CO 2 were generated to analyze relative attractiveness of energy efficient appliance options. Results indicate that up to 7.9 TWh of electricity can be saved per year with 6.7 Mt-CO 2 emissions mitigation at negative or very low CO 2 prices of US$ 10/t-CO 2 . Despite such options existing, their penetration is not realized due to myriad barriers such as financial, institutional or awareness and therefore cannot be taken as baseline options for CO 2 emission mitigation regimes. - Highlights: • Residential sector provides focused mitigation opportunities. • Energy efficient space cooling is the main technology transition required. • Almost 26% residential load could be reduced by DSM measures. • Myriad barriers limit penetration of negative marginal cost efficient options

  4. Vehicle Dynamics Control of In-wheel Electric Motor Drive Vehicles Based on Averaging of Tire Force Usage

    Science.gov (United States)

    Masaki, Nobuo; Iwano, Haruo; Kamada, Takayoshi; Nagai, Masao

    For in-wheel electric motor drive vehicles, a new vehicle dynamics control which is based on the tire force usage rate is proposed. The new controller adopts non-linear optimal control could manage the interference between direct yaw-moment control and the tire force usage rate. The new control is considered total longitudinal and transverse tire force. Therefore the controller can prevent tire force saturation near tire force limit during cornering. Simulations and test runs by the custom made four wheel drive in-wheel motor electric vehicle show that higher driving stability performance compared to the performance of the same vehicle without control.

  5. Ontario electricity bill review

    International Nuclear Information System (INIS)

    O'Neill, G.

    2003-01-01

    Findings of an independent review of charges to electricity bills and recommendations to assist in the development of a standard, province-wide residential electricity bill for Ontario are discussed. The review was requested by the province's Minister of Energy in an effort to dispel growing confusion about the variations in customer billing practices used by the province's 90+ local distribution companies. Key recommendations and findings were as follows: (1)Consumer bill formats issued by local distribution companies should be more consumer-friendly, adhere to minimum design standards, adapt uniform terminology and common line charges; (2) charges on customer bills should be grouped into four standard line items, with full details available to customers: the four line items should be a basic service charge, a charge for delivering electricity to the customer, a charge for the electricity itself, and a separate charge for retiring the outstanding debt of the former Ontario Hydro; (3) bills should take advantage of opportunities for promoting province-wide energy conservation, such as encouraging the long-term use of interval meters, presenting historical consumption data on residential bills on a period-to-period basis, and education and communications initiatives. Details of the recommendations, including the calculation of the fixed and variable components of usage charges, an explanation of the concept of electricity system loss adjustments, a method for phasing in the recommendations, and the anticipated benefits to consumers are provided

  6. Potential market-size for renewables in the residential sector of Pakistan

    International Nuclear Information System (INIS)

    Athar, G.R; Imtiaz, M.

    2005-01-01

    Renewable energy-sources can be used for meeting the energy-demand of various endues, like water-pumping for irrigation, process-heat for industries and desalination for potable water-supplies. However, the residential sector has the largest potential for renewable energy usage among all sectors of the economy. At present, the residential sector of Pakistan consumes some 26 million Tone of Oil Equivalent (MTOE) energy: with more than 6 MTOE in the form of commercial energy (electricity, natural gas, kerosene, LPG and coal) and about 20 MTOE in the form of non-commercial energy (wood, dung and crop-residues). Applied Systems Analysis Group (ASAG) has carried out a study to project the energy demand of Pakistan up to the year 2024-25, using an energy-demand model MAED. This model uses simulation technique to evaluate the energy-demand implications of a scenario, describing the assumed evolution of demographic parameters, economic activities, lifestyle of the population and technological improvements. The demographic targets of the Population-Policy of Pakistan and economic targets of Government of Pakistan have been adopted as the basis of our reference scenario. The study shows that the energy-demand of the residential sector will increase by a factor of 1.7, compared to the base-year 2001-2002. The residential sector will need 41. 9 MTOE energy, of which: (I) 5.9 MTOE (72.5 TWh) in the form of electricity to fulfill the energy-needs for lighting, cooling and other electric appliances, (II) 24.4 MTOE for cooking, (III) 5.7 MTOE for water heating, and (IV) 5.8 MTOE for space heating. In all these end-uses, renewable energy can make a contribution depending on the cost of energy, convenience of use and reliability of supply. Although, the government is vigorously pursuing a rural electrification program, a portion of residential sector, particularly in remote areas, will not be electrified even by 2024-25. The non-electrified houses will require 3 to 5 TWh of

  7. Mining usage patterns in residential intranet of things

    OpenAIRE

    Poghosyan , Gevorg; Pefkianakis , Ioannis; Le Guyadec , Pascal; Christophides , Vassilis

    2016-01-01

    International audience; Ubiquitous smart technologies gradually transform modern homes into Intranet of Things, where a multitude of connected devices allow for novel home automation services (e.g., energy or bandwidth savings, comfort enhancement, etc.). Optimizing and enriching the Quality of Experience (QoE) of residential users emerges as a critical differentiator for Internet and Communication Service providers (ISPs and CSPs, respectively) and heavily relies on the analysis of various k...

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

    OpenAIRE

    Sun, M; Konstantelos, I; Strbac, G

    2016-01-01

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

  9. Energy saving or privatization? The case of the electric residential sector of Mexico; Ahorro de energia o privatizacion? El caso del sector electrico residencial de Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Friedmann, Rafael [University of California, Berkeley, CA (United States)

    1994-12-31

    The validity of the premise that proposes the privatization of the electric sector as a solution to the problem of obtaining enough investment capital for the continuous expansion of the electric sector is examined. It is shown that the growth of the demand foreseen for the residential sector for year 2000, can be totally reduced by introducing technologies economically feasible to increase the efficiency and end uses of the residential electricity. With the efficient use of the electricity, the economical development is allowed for the residential sector, without large increments of the residential electricity demand. [Espanol] Se examina la validez de la premisa que propone la privatizacion del sector electrico como una solucion al problema de conseguir suficientes capitales de inversion para la continua expansion del sector. Se muestra que se puede reducir casi totalmente el crecimiento en la demanda prevista del sector residencial al ano 2000, introduciendo tecnologias economicamente factibles para aumentar la eficiencia en los usos finales de electricidad residencial. Con el uso eficiente de la electricidad, se permite el desarrollo economico del sector residencial sin grandes incrementos en la demanda residencial de electricidad.

  10. Energy saving or privatization? The case of the electric residential sector of Mexico; Ahorro de energia o privatizacion? El caso del sector electrico residencial de Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Friedmann, Rafael [University of California, Berkeley, CA (United States)

    1993-12-31

    The validity of the premise that proposes the privatization of the electric sector as a solution to the problem of obtaining enough investment capital for the continuous expansion of the electric sector is examined. It is shown that the growth of the demand foreseen for the residential sector for year 2000, can be totally reduced by introducing technologies economically feasible to increase the efficiency and end uses of the residential electricity. With the efficient use of the electricity, the economical development is allowed for the residential sector, without large increments of the residential electricity demand. [Espanol] Se examina la validez de la premisa que propone la privatizacion del sector electrico como una solucion al problema de conseguir suficientes capitales de inversion para la continua expansion del sector. Se muestra que se puede reducir casi totalmente el crecimiento en la demanda prevista del sector residencial al ano 2000, introduciendo tecnologias economicamente factibles para aumentar la eficiencia en los usos finales de electricidad residencial. Con el uso eficiente de la electricidad, se permite el desarrollo economico del sector residencial sin grandes incrementos en la demanda residencial de electricidad.

  11. 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.

  12. 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)

  13. An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison

    Directory of Open Access Journals (Sweden)

    Ingrid Moons

    2015-05-01

    Full Text Available An Extended Decomposed Theory of Planned Behaviour (DTPB is developed that integrates emotions towards car driving and electric cars as well as car driving habits of the DTPB, and is empirically validated in a Belgian sample (n = 1023. Multi-group comparisons explore how the determinants of usage intention are different between groups of consumers differing in environmentally-friendly behaviour, environmental concern, innovativeness and personal values. Besides attitudes, media, perceived complexity, compatibility and relative advantage, emotions towards the electric car and reflective emotions towards car driving have a strong effect on usage intention. Car driving habits and perceived behavioural control (facilitators and constraints do not substantially affect usage intention. Only people differing in personal values show a different motivational structure for a number of important drivers of usage intention.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1997-12-31

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

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

    International Nuclear Information System (INIS)

    Miller, Reid; Golab, Lukasz; Rosenberg, Catherine

    2017-01-01

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

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

    International Nuclear Information System (INIS)

    Kavousian, Amir; Rajagopal, Ram; Fischer, Martin

    2013-01-01

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

  17. Cost-reflective electricity pricing: Consumer preferences and perceptions

    International Nuclear Information System (INIS)

    Hall, Nina L.; Jeanneret, Talia D.; Rai, Alan

    2016-01-01

    In Australia, residential electricity peak demand has risen steeply in recent decades, leading to higher prices as new infrastructure was needed to satisfy demand. One way of limiting further infrastructure-induced retail price rises is via ‘cost-reflective’ electricity network pricing that incentivises users to shift their demand to non-peak periods. Empowering consumers with knowledge of their energy usage is critical to maximise the potential benefits of cost-reflective pricing. This research consulted residential electricity consumers in three Australian states on their perceptions and acceptance of two cost-reflective pricing scenarios (Time-of-Use and Peak Capacity pricing) and associated technologies to support such pricing (smart meters, in-home displays and direct load control devices). An energy economist presented information to focus groups on the merits and limitations of each scenario, and participants’ views were captured. Almost half of the 53 participants were agreeable to Time-of-Use pricing, but did not have a clear preference for Peak Capacity pricing, where the price was based on the daily maximum demand. Participants recommended further information to both understand and justify the potential benefits, and for technologies to be introduced to enhance the pricing options. The results have implications for utilities and providers who seek to reduce peak demand. - Highlights: •Electricity price rises can be limited by ‘cost-reflective’ pricing. •We consulted residential electricity consumers on Time-of-Use and Peak Capacity pricing. •Understanding of peak electricity demand must increase to enable demand shift. •Interactive website could enable consumers to evaluate pricing options. •Smart meter adoption may increase if voluntary and includes an in-home display.

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

    International Nuclear Information System (INIS)

    Gabreyohannes, Emmanuel

    2010-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-05-15

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

  20. The Usefulness of the Electric Textbooks at Nursing Practicam by Analyzing the Usage Logs of the Terminal Tablet.

    Science.gov (United States)

    Nakamura, Yumiko; Majima, Yukie; Fukayama, Kaori

    2016-01-01

    We conducted assessment tests for clinical training, analyzing the usage of the electronic textbooks and the tablet functions from the log information of the terminal tablets. Results revealed that usage of the terminal tablet and digital nursing dictionary (ver. 2), by which users can enjoy free access to electric textbooks during clinical training, was effective as learning support.

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

    International Nuclear Information System (INIS)

    Castro-Rodriguez, F.

    1999-01-01

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

  2. 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.

  3. Integrated Cost Allocation of Transmission Usage under Electricity Markets

    Directory of Open Access Journals (Sweden)

    Hermagasantos Zein

    2012-08-01

    Full Text Available Cost allocation of transmission usage on the power networks is an important issue especially in the modern electricity market mechanism. In this context, all costs that have been embedded in the transmission, embedded cost, should be covered by the transmission users. This paper follows general methods, where generators are fullyresponsible to cover the embedded cost. It proposes a method to determine the cost allocation of transmission usage based on decomposition through the superposition techinique to determine power flow contributions from an integrated base case of the results of the power flow calculations of all transactions, bilateral and nonbilateral contracts. Mathematically, the applied formulations are illustrated clearly in this paper. The proposed method has been tested with 5-bus system and the results are much different compared to a few of the published methods. This is shown by the test results on the 5 bus system. The published methods produce total power flow contributions in each line is greater than the actual. And they earn total revenues approximately 11.6% greater than the embedded cost. While on the proposed method, the power flow contribu tions are equal to the actual and the revenues are equal to the embedded cost. It shows also that the proposed method gives results as expected.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-09-30

    some real life experimentation and sporadic deployment of these technologies [14]. By many accounts, the second decade of the 21st Century is expected to be the time when mass volume production and popular usage of these AFV technologies, especially EV, will materialize. The current DOE request for proposals recognizes the need for major technological changes to ensure that the above national goal is realizable. Two major challenges have been identified: (1) major reduction in the cost of ownership of EVSEs, and (2) managing additional EV loads in the power grid while maintaining power quality, reliability, and affordability. We note that the two challenges are closely linked – A holistic approach to true lifecycle cost of EVSE ownership will certainly include any taxes and surcharges that can be put in place for major potential investments in the grid, and higher electricity charges in case of more frequent and longer peak periods. From a societal perspective, this cost could also include the lost GDP (computed on a local basis) and revenue for businesses at local and regional levels when the grid is no longer capable of meeting the demand and unexpected outages occur. A typical end-point electrical distribution system delivers power to a residential EVSE from the neighborhood distribution pole, as shown in Fig.1. This pole has a transformer (neighboring step-down transformer) that steps down the utility medium voltage to dual 120VAC single phase (also called 240VAC split phase). This voltage is fed through a meter into the residential load control center. The load control center consists of branch circuit breakers and distributes the power supply within various areas of the residential unit. One of the branch circuits from the load control center feeds EV charging station for the unit. An electric vehicle charger is plugged into the socket of the EV charging station and other end of this charger is connected to the vehicle during charging. Figure 1 illustrates a

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2012-12-01

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

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

    Science.gov (United States)

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

    2018-05-01

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

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

    International Nuclear Information System (INIS)

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

    2014-01-01

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

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

    International Nuclear Information System (INIS)

    Javid, Muhammad; Qayyum, Abdul

    2014-01-01

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

  9. Techno-economic feasibility of hybrid diesel/PV/wind/battery electricity generation systems for non-residential large electricity consumers under southern Iran climate conditions

    International Nuclear Information System (INIS)

    Baneshi, Mehdi; Hadianfard, Farhad

    2016-01-01

    Highlights: • A hybrid electricity generation system for a large electricity consumer was studied. • The PV and wind electricity potentials under given climate conditions were evaluated. • Technical, economical, and environmental issues of different systems were discussed. • The optimum configuration of components was obtained. • The impacts of governmental incentives on economic viability of systems were examined. - Abstract: This paper aims to study the techno-economical parameters of a hybrid diesel/PV/wind/battery power generation system for a non-residential large electricity consumer in the south of Iran. As a case study, the feasibility of running a hybrid system to meet a non-residential community’s load demand of 9911 kWh daily average and 725 kW peak load demand was investigated. HOMER Pro software was used to model the operation of the system and to identify the appropriate configuration of it based on comparative technical, economical, and environmental analysis. Both stand alone and grid connected systems were modeled. The impacts of annual load growth and governmental energy policies such as providing low interest loan to renewable energy projects, carbon tax, and modifying the grid electricity price on viability of the system were discussed. Results show that for off-grid systems the cost of electricity (COE) and the renewable fraction of 9.3–12.6 ₵/kWh and 0–43.9%, respectively, are achieved with photovoltaic (PV) panel, wind turbine, and battery sizes of 0–1000 kW, 0–600 kW, and 1300 kWh, respectively. For on grid systems without battery storage the range of COE and renewable fraction are 5.7–8.4 ₵/kWh and 0–53%, respectively, for the same sizes of PV panel and wind turbine.

  10. Electricity rates in Canada, 1991

    International Nuclear Information System (INIS)

    1991-01-01

    Numerical data only are presented for monthly electricity costs (residential and commercial) for selected Canadian cities. Total electricity supply is broken down by province. Residential, urban and rural electricity costs, including taxation, are provided for selected Canadian cities. Calculations of electricity costs for commercial and residential sectors are tabulated by province. Historical data from 1974 are supplied

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

    International Nuclear Information System (INIS)

    Lafrance, G.; Perron, D.

    1994-01-01

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

  12. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Seligman, C; Darley, J M

    1976-08-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2017-01-01

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

  15. Electric sales and revenue: 1993

    Energy Technology Data Exchange (ETDEWEB)

    1995-01-01

    The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. The sales, revenue, and average revenue per kilowatthour data provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1993. Operating revenue includes energy charges, demand charges, consumer service charges, environmental surcharges, fuel adjustments, and other miscellaneous charges. The revenue does not include taxes, such as sales and excise taxes, that are assessed on the consumer and collected through the utility. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. Because electric rates vary based on energy usage, average revenue per kilowatthour are affected by changes in the volume of sales. The sales of electricity, associated revenue, and average revenue per kilowatthour data provided in this report are presented at the national, Census division, State, and electric utility levels.

  16. 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

  17. The impacts of regulation via the allowed rate of return constraint on social welfare, input choices, and level of output in the privately-owned electric utilities in the United States

    International Nuclear Information System (INIS)

    Phongam, S.

    1990-01-01

    This study analyzes the effect of change in price elasticity of demand for electricity on social welfare, allowed rate of return, and marginal revenue product of each input used to produce electricity. Price elasticities of demand for electricity in residential, commercial, and industrial sectors are compared as well as total demand in 1987. Also compared are these price elasticities between 1982 and 1987. Several conclusions are: (1) There is an overcapitalization in privately-owned electric utilities because at the chosen level of output, marginal revenue product of capital is less than its price. (2) Elastic demand for electricity will improve values of social welfare and marginal revenue product of inputs. (3) Tightening allowed rate of return will increase the amount of capital and labor usages, but decrease fuel, output, and social welfare. (4) Both residential and industrial demand for electricity are elastic, but commercial demand is inelastic. (5) By making comparison of price elasticity of demand between 1982 and 1987, it shows that price elasticity of demand for electricity in residential, industrial, and total demand are increasing. However, for the commercial sector, the price elasticity is decreasing somewhat

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

    Directory of Open Access Journals (Sweden)

    Mohammad Hosein Mohammadnezami

    2015-03-01

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

  19. Reducing electricity demand peaks by scheduling home appliances usage

    Energy Technology Data Exchange (ETDEWEB)

    Rossello-Busquet, A.; Kardaras, G.; Baek Iversen, V.; Soler, J.; Dittmann, L.

    2011-05-15

    Nowadays there is a tendency to consume electricity during the same period of the day leading to demand peaks. Regular energy consumption habits lead to demand peaks at specific temporal intervals, because users consume power at the same time. In order to avoid demand peaks, users' appliances should consume electricity in a more temporarily distributed way. A new methodology to schedule the usage of home appliances is proposed and analyzed in this paper. The main concept behind this approach is the aggregation of home appliances into priority classes and the definition of a maximum power consumption limit, which is not allowed to be exceeded during peak hours. The scenario simulated describes a modern household, where the electrical devices are classified in low and high priority groups. The high priority devices are always granted power in order to operate without temporal restrictions. On the contrary, the low priority devices have to pause their operation, when the algorithm dictates it, and resume it in the future. This can become beneficial for both energy companies and users. The electricity suppliers companies will be capable of regulating power generation during demand peaks periods. Moreover, users can be granted lower electricity bill rates for accepting delaying the operation of some of their appliances. In order to analyze this scenario, teletraffic engineering theory, which is used in evaluating the performance of telecommunication networks, is used. A reversible fair scheduling (RFS) algorithm, which was originally developed for telecommunication networks, is applied. The purpose is to analyze how a power consumption limit and priorities for home appliances will affect the demand peak and the users' everyday life. Verification of the effectiveness of the RFS algorithm is done by means of simulation and by using real data for power consumption and operation hours. The defined maximum power limit of 750 and 1000 Watt was not exceeded during

  20. 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)

  1. 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)

  2. 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)

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

    International Nuclear Information System (INIS)

    Frachet, Laure

    2013-01-01

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

  4. 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

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

    International Nuclear Information System (INIS)

    Kipping, A.; Trømborg, E.

    2017-01-01

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

  6. Investigating preferences for dynamic electricity tariffs: The effect of environmental and system benefit disclosure

    International Nuclear Information System (INIS)

    Buryk, Stephen; Mead, Doug; Mourato, Susana; Torriti, Jacopo

    2015-01-01

    Dynamic electricity pricing can produce efficiency gains in the electricity sector and help achieve energy policy goals such as increasing electric system reliability and supporting renewable energy deployment. Retail electric companies can offer dynamic pricing to residential electricity customers via smart meter-enabled tariffs that proxy the cost to procure electricity on the wholesale market. Current investments in the smart metering necessary to implement dynamic tariffs show policy makers’ resolve for enabling responsive demand and realizing its benefits. However, despite these benefits and the potential bill savings these tariffs can offer, adoption among residential customers remains at low levels. Using a choice experiment approach, this paper seeks to determine whether disclosing the environmental and system benefits of dynamic tariffs to residential customers can increase adoption. Although sampling and design issues preclude wide generalization, we found that our environmentally conscious respondents reduced their required discount to switch to dynamic tariffs around 10% in response to higher awareness of environmental and system benefits. The perception that shifting usage is easy to do also had a significant impact, indicating the potential importance of enabling technology. Perhaps the targeted communication strategy employed by this study is one way to increase adoption and achieve policy goals. - Highlights: • We evaluate preferences for domestic dynamic electricity tariffs in the US and EU. • We use an online choice experiment approach with two dynamic tariff options. • People are more likely to switch if shown environmental and system benefits. • People are more likely to switch if they find shifting demand easy to do. • Our results imply the importance of targeted communication and enabling technology

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

    International Nuclear Information System (INIS)

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

    2015-01-01

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

  8. 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.

  9. Emissions from residential combustion considering end-uses and spatial constraints: Part I, methods and spatial distribution

    Science.gov (United States)

    Winijkul, Ekbordin; Fierce, Laura; Bond, Tami C.

    2016-01-01

    This study describes a framework to attribute national-level atmospheric emissions in the year 2010 from the residential sector, one of the largest energy-related sources of aerosol emissions. We place special emphasis on end-uses, dividing usage into cooking, heating, lighting, and others. This study covers regions where solid biomass fuel provides more than 50% of total residential energy: Latin America, Africa, and Asia (5.2 billion people in 2010). Using nightlight data and population density, we classify five land types: urban, electrified rural with forest access, electrified rural without forest access, non-electrified rural with forest access, and non-electrified rural without forest access. We then apportion national-level residential fuel consumption among all land-types and end-uses, and assign end-use technologies to each combination. The resulting calculation gives spatially-distributed emissions of particulate matter, black carbon, organic carbon, nitrogen oxides, methane, non-methane hydrocarbons, carbon monoxide, and carbon dioxide. Within this study region, about 13% of the energy is consumed in urban areas, and 45% in non-urban land near forests. About half the energy is consumed in land without access to electricity. Cooking accounts for 54% of the consumption, heating for 9%, and lighting only 2%, with unidentified uses making up the remainder. Because biofuel use is assumed to occur preferentially where wood is accessible and electricity is not, our method shifts emissions to land types without electrification, compared with previous methods. The framework developed here is an important first step in acknowledging the role of household needs and local constraints in choosing energy provision. Although data and relationships described here need further development, this structure offers a more physically-based understanding of residential energy choices and, ultimately, opportunities for emission reduction.

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

    International Nuclear Information System (INIS)

    Herter, Karen; McAuliffe, Patrick; Rosenfeld, Arthur

    2007-01-01

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

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

    International Nuclear Information System (INIS)

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

    2016-01-01

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

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

    Science.gov (United States)

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

    2015-03-01

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

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

    International Nuclear Information System (INIS)

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

    2010-01-01

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

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

    Science.gov (United States)

    She, Ying; Erdem, Ergin; Shi, Jing

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

  15. 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

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

    Science.gov (United States)

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

    2007-12-01

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

  17. Power Distribution Analysis For Electrical Usage In Province Area Using Olap (Online Analytical Processing

    Directory of Open Access Journals (Sweden)

    Samsinar Riza

    2018-01-01

    Full Text Available The distribution network is the closest power grid to the customer Electric service providers such as PT. PLN. The dispatching center of power grid companies is also the data center of the power grid where gathers great amount of operating information. The valuable information contained in these data means a lot for power grid operating management. The technique of data warehousing online analytical processing has been used to manage and analysis the great capacity of data. Specific methods for online analytics information systems resulting from data warehouse processing with OLAP are chart and query reporting. The information in the form of chart reporting consists of the load distribution chart based on the repetition of time, distribution chart on the area, the substation region chart and the electric load usage chart. The results of the OLAP process show the development of electric load distribution, as well as the analysis of information on the load of electric power consumption and become an alternative in presenting information related to peak load.

  18. Power Distribution Analysis For Electrical Usage In Province Area Using Olap (Online Analytical Processing)

    Science.gov (United States)

    Samsinar, Riza; Suseno, Jatmiko Endro; Widodo, Catur Edi

    2018-02-01

    The distribution network is the closest power grid to the customer Electric service providers such as PT. PLN. The dispatching center of power grid companies is also the data center of the power grid where gathers great amount of operating information. The valuable information contained in these data means a lot for power grid operating management. The technique of data warehousing online analytical processing has been used to manage and analysis the great capacity of data. Specific methods for online analytics information systems resulting from data warehouse processing with OLAP are chart and query reporting. The information in the form of chart reporting consists of the load distribution chart based on the repetition of time, distribution chart on the area, the substation region chart and the electric load usage chart. The results of the OLAP process show the development of electric load distribution, as well as the analysis of information on the load of electric power consumption and become an alternative in presenting information related to peak load.

  19. Which Factors Can Protect Against Range Stress in Everyday Usage of Battery Electric Vehicles? Toward Enhancing Sustainability of Electric Mobility Systems.

    Science.gov (United States)

    Franke, Thomas; Rauh, Nadine; Günther, Madlen; Trantow, Maria; Krems, Josef F

    2016-02-01

    The objective of the present research was to advance understanding of factors that can protect against range anxiety, specifically range stress in everyday usage of battery electric vehicles (BEVs). Range anxiety is a major barrier to the broad adoption of sustainable electric mobility systems. To develop strategies aimed at overcoming range anxiety, a clear understanding of this phenomenon and influencing factors is needed. We examined range anxiety in the form of everyday range stress (ERS) in a field study setting. Seventy-two customers leased a BEV for 3 months. The field study was specifically designed to enable examination of factors that can contribute to lower ERS. In particular, study design and sample recruitment were targeted at generating vehicle usage profiles that would lead to relatively frequent experience of situations requiring active management of range resources and thereby potentially leading to experienced range stress. Less frequent encounter with critical range situations, higher practical experience, subjective range competence, tolerance of low range, and experienced trustworthiness of the range estimation system were related to lower ERS. Moreover, range stress was found to be related to range satisfaction and BEV acceptance. The results underline the importance of the human factors perspective to overcome range anxiety and enhance sustainability of electric mobility systems. Trustworthiness should be employed as a key benchmark variable in the design of range estimation systems, and assistance systems should target increasing drivers' adaptive capacity (i.e., resilience) to cope with critical range situations. © 2015, Human Factors and Ergonomics Society.

  20. 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

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

    Directory of Open Access Journals (Sweden)

    Yasser Maklad

    2014-04-01

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

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

    Directory of Open Access Journals (Sweden)

    Sayanti Mukherjee

    2017-08-01

    Full Text Available This paper presents the data that is used in the article entitled “Climate sensitivity of end-use electricity consumption in the built environment: An application to the state of Florida, United States” (Mukhopadhyay and Nateghi, 2017 [1]. The data described in this paper pertains to the state of Florida (during the period of January 1990 to November 2015. It can be classified into four categories of (i state-level electricity consumption data; (ii climate data; (iii weather data; and (iv socio-economic data. While, electricity consumption data and climate data are obtained at monthly scale directly from the source, the weather data was initially obtained at daily-level, and then aggregated to monthly level for the purpose of analysis. The time scale of socio-economic data varies from monthly-level to yearly-level. This dataset can be used to analyze the influence of climate and weather on the electricity demand as described in Mukhopadhyay and Nateghi (2017 [1].

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

    Science.gov (United States)

    Stephenson, Beth A.

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

  4. Linear and non-linear impact of Internet usage and financial deepening on electricity consumption for Turkey: empirical evidence from asymmetric causality.

    Science.gov (United States)

    Faisal, Faisal; Tursoy, Turgut; Berk, Niyazi

    2018-04-01

    This study investigates the relationship between Internet usage, financial development, economic growth, capital and electricity consumption using quarterly data from 1993Q1 to 2014Q4. The integration order of the series is analysed using the structural break unit root test. The ARDL bounds test for cointegration in addition to the Bayer-Hanck (2013) combined cointegration test is applied to analyse the existence of cointegration among the variables. The study found strong evidence of a long-run relationship between the variables. The long-run results under the ARDL framework confirm the existence of an inverted U-shaped relationship between financial development and electricity consumption, not only in the long-run, but also in the short-run. The study also confirms the existence of a U-shaped relationship between Internet usage and electricity consumption; however, the effect is insignificant. Additionally, the influence of trade, capital and economic growth is examined in both the long run and short run (ARDL-ECM). Finally, the results of asymmetric causality suggest a positive shock in electricity consumption that has a positive causal impact on Internet usage. The authors recommend that the Turkish Government should direct financial institutions to moderate the investment in the ICT sector by advancing credits at lower cost for purchasing energy-efficient technologies. In doing so, the Turkish Government can increase productivity in order to achieve sustainable growth, while simultaneously reducing emissions to improve environmental quality.

  5. Load Disaggregation via Pattern Recognition: A Feasibility Study of a Novel Method in Residential Building

    Directory of Open Access Journals (Sweden)

    Younghoon Kwak

    2018-04-01

    Full Text Available In response to the need to improve energy-saving processes in older buildings, especially residential ones, this paper describes the potential of a novel method of disaggregating loads in light of the load patterns of household appliances determined in residential buildings. Experiments were designed to be applicable to general residential buildings and four types of commonly used appliances were selected to verify the method. The method assumes that loads are disaggregated and measured by a single primary meter. Following the metering of household appliances and an analysis of the usage patterns of each type, values of electric current were entered into a Hidden Markov Model (HMM to formulate predictions. Thereafter, the HMM repeatedly performed to output the predicted data close to the measured data, while errors between predicted and the measured data were evaluated to determine whether they met tolerance. When the method was examined for 4 days, matching rates in accordance with the load disaggregation outcomes of the household appliances (i.e., laptop, refrigerator, TV, and microwave were 0.994, 0.992, 0.982, and 0.988, respectively. The proposed method can provide insights into how and where within such buildings energy is consumed. As a result, effective and systematic energy saving measures can be derived even in buildings in which monitoring sensors and measurement equipment are not installed.

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

    International Nuclear Information System (INIS)

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

    2010-01-01

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

  7. 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.

  8. 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.

  9. Mitigation of the Impact of High Plug-in Electric Vehicle Penetration on Residential Distribution Grid Using Smart Charging Strategies

    Directory of Open Access Journals (Sweden)

    Chong Cao

    2016-12-01

    Full Text Available Vehicle electrification presents a great opportunity to reduce transportation greenhouse gas emissions. The greater use of plug-in electric vehicles (PEVs, however, puts stress on local distribution networks. This paper presents an optimal PEV charging control method integrated with utility demand response (DR signals to mitigate the impact of PEV charging to several aspects of a grid, including load surge, distribution accumulative voltage deviation, and transformer aging. To build a realistic PEV charging load model, the results of National Household Travel Survey (NHTS have been analyzed and a stochastic PEV charging model has been defined based on survey results. The residential distribution grid contains 120 houses and is modeled in GridLAB-D. Co-simulation is performed using Matlab and GridLAB-D to enable the optimal control algorithm in Matlab to control PEV charging loads in the residential grid modeled in GridLAB-D. Simulation results demonstrate the effectiveness of the proposed optimal charging control method in mitigating the negative impacts of PEV charging on the residential grid.

  10. 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

  11. 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.

  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 outage cost estimation: Hong Kong

    International Nuclear Information System (INIS)

    Woo, C.K.; Ho, T.; Shiu, A.; Cheng, Y.S.; Horowitz, I.; Wang, J.

    2014-01-01

    Hong Kong has almost perfect electricity reliability, the result of substantial investments ultimately financed by electricity consumers who may be willing to accept lower reliability in exchange for lower bills. But consumers with high outage costs are likely to reject the reliability reduction. Our ordered-logit regression analysis of the responses by 1876 households to a telephone survey conducted in June 2013 indicates that Hong Kong residents exhibit a statistically-significant preference for their existing service reliability and rate. Moreover, the average residential cost estimate for a 1-h outage is US$45 (HK$350), topping the estimates reported in 10 of the 11 studies published in the last 10 years. The policy implication is that absent additional compelling evidence, Hong Kong should not reduce its service reliability. - Highlights: • Use a contingent valuation survey to obtain residential preferences for reliability. • Use an ordered logit analysis to estimate Hong Kong's residential outage costs. • Find high outage cost estimates that imply high reliability requirements. • Conclude that sans new evidence, Hong Kong should not reduce its reliability

  14. 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...

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

    International Nuclear Information System (INIS)

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

    1991-01-01

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

  16. 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.

  17. Economic analysis of electric heating based on critical electricity price

    Science.gov (United States)

    Xie, Feng; Sun, Zhijie; Zhou, Xinnan; Fu, Chengran; Yang, Jie

    2018-06-01

    The State Grid Corporation of China proposes an alternative energy strategy, which will make electric heating an important task in the field of residential electricity consumption. This article takes this as the background, has made the detailed introduction to the inhabitant electric heating technology, and take the Zhangjiakou electric panels heating technology as an example, from the expense angle, has carried on the analysis to the electric panels heating economy. In the field of residential heating, electric panels operating costs less than gas boilers. After customers implying energy-saving behavior, electric panels operating cost is even lower than coal-fired boilers. The critical price is higher than the execution price, which indicates that the economic performance of the electric panels is significantly higher than that of the coal boiler.

  18. Conservation in the residential sector: two alternatives as strategies for ordering the market

    International Nuclear Information System (INIS)

    Lins, M.E.

    1990-01-01

    This work purposes an economic flow analysis in order to be driven conservation strategies by the electric sector. Two strategies for three conservation measures are considered here in the residential sector. The results obtained increase the reliability of an action plan to be elaborated for the electric energy conservation in the residential sector. (author)

  19. Power factor regulation for household usage

    Science.gov (United States)

    Daud, Nik Ghazali Nik; Hashim, Fakroul Ridzuan; Tarmizi, Muhammad Haziq Ahmad

    2018-02-01

    Power factor regulator technology has recently drawn attention to the consumer and to power generation company in order for consumers to use electricity efficiently. Controlling of power factor for efficient usage can reduce the production of power in fulfilment demands hence reducing the greenhouse effect. This paper presents the design method of power factor controller for household usage. There are several methods to improve the power factor. The power factor controller used by this method is by using capacitors. Total harmonic distortion also has become a major problem for the reliability of the electrical appliances and techniques to control it will be discussed.

  20. 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

  1. Optimal Sizing of Vanadium Redox Flow Battery Systems for Residential Applications Based on Battery Electrochemical Characteristics

    Directory of Open Access Journals (Sweden)

    Xinan Zhang

    2016-10-01

    Full Text Available The penetration of solar photovoltaic (PV systems in residential areas contributes to the generation and usage of renewable energy. Despite its advantages, the PV system also creates problems caused by the intermittency of renewable energy. As suggested by researchers, such problems deteriorate the applicability of the PV system and have to be resolved by employing a battery energy storage system (BESS. With concern for the high investment cost, the choice of a cost-effective BESS with proper sizing is necessary. To this end, this paper proposes the employment of a vanadium redox flow battery (VRB, which possesses a long cycle life and high energy efficiency, for residential users with PV systems. It further proposes methods of computing the capital and maintenance cost of VRB systems and evaluating battery efficiency based on VRB electrochemical characteristics. Furthermore, by considering the cost and efficiency of VRB, the prevalent time-of-use electricity price, the solar feed-in tariff, the solar power profile and the user load pattern, an optimal sizing algorithm for VRB systems is proposed. Simulation studies are carried out to show the effectiveness of the proposed methods.

  2. The value of residential photovoltaic systems: A comprehensive assessment

    Science.gov (United States)

    Borden, C. S.

    1983-01-01

    Utility-interactive photovoltaic (PV) arrays on residential rooftops appear to be a potentially attractive, large-scale application of PV technology. Results of a comprehensive assessment of the value (i.e., break-even cost) of utility-grid connected residential photovoltaic power systems under a variety of technological and economic assumptions are presented. A wide range of allowable PV system costs are calculated for small (4.34 kW (p) sub ac) residential PV systems in various locales across the United States. Primary factor in this variation are differences in local weather conditions, utility-specific electric generation capacity, fuel types, and customer-load profiles that effect purchase and sell-back rates, and non-uniform state tax considerations. Additional results from this analysis are: locations having the highest insolation values are not necessary the most economically attractive sites; residential PV systems connected in parallel to the utility demonstrate high percentages of energy sold back to the grid, and owner financial and tax assumptions cause large variations in break-even costs. Significant cost reduction and aggressive resolution of potential institutional impediments (e.g., liability, standards, metering, and technical integration) are required for a residential PV marker to become a major electric-grid-connected energy-generation source.

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

    International Nuclear Information System (INIS)

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

    2016-01-01

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

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

    International Nuclear Information System (INIS)

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

    2016-01-01

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

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

    DEFF Research Database (Denmark)

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

    2017-01-01

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

  6. 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.

  7. 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.

  8. Electricity Customers

    Science.gov (United States)

    Residential, commercial, and industrial customers each account for roughly one-third of the nation’s electricity use. The transportation sector also accounts for a small fraction of electricity, although it could increase.

  9. evaluation of electricity consumer's behaviour towards electricity ...

    African Journals Online (AJOL)

    Energy efficiency and sustainability: evaluation of electricity consumer's behaviour towards electricity usage and energy conservation. ... Remember me ... particularly about electricity consumer's attitudes, behaviour and practices with respect ...

  10. 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)

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

    Science.gov (United States)

    Carlson, Derrick R.

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2008-07-01

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

  13. Residential firewood use in the United States.

    Science.gov (United States)

    Lipfert, F W; Dungan, J L

    1983-03-25

    An empirical relation between residential firewood use and population density was developed from survey data for 64 counties in New England and was corroborated by data from other states. The results indicate that usage is concentrated in urbanized areas of the Northeast and north central states and that about 9.0 to 11.0 percent of U.S. space heating input is from firewood. No constraints due to the supply of wood were apparent in 1978-1979. These findings have implications for effects on air quality.

  14. 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.

  15. Syllabus in Trade Electricity-Electronics. Section II. Trade Electricity.

    Science.gov (United States)

    New York State Education Dept., Albany. Bureau of Occupational Education Curriculum Development.

    This second section of a three-part syllabus for a flexible curriculum in trade electricity-electronics contains four semi-independent units: (1) Advanced Electricity, (2) Residential and Commercial Wiring, (3) Industrial Electricity, and (4) Motor Controls. Introductory sections describe development of the curriculum, outline the total trade…

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

    International Nuclear Information System (INIS)

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

    2009-01-01

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

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

    DEFF Research Database (Denmark)

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

    2018-01-01

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

  18. 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

  19. 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...

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

    OpenAIRE

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

    2006-01-01

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

  1. Modeling nexus of urban heat island mitigation strategies with electricity/power usage and consumer costs: a case study for Phoenix, Arizona, USA

    Science.gov (United States)

    Silva, Humberto; Fillpot, Baron S.

    2018-01-01

    A reduction in both power and electricity usage was determined using a previously validated zero-dimensional energy balance model that implements mitigation strategies used to reduce the urban heat island (UHI) effect. The established model has been applied to show the change in urban characteristic temperature when executing four common mitigation strategies: increasing the overall (1) emissivity, (2) vegetated area, (3) thermal conductivity, and (4) albedo of the urban environment in a series of increases by 5, 10, 15, and 20% from baseline values. Separately, a correlation analysis was performed involving meteorological data and total daily energy (TDE) consumption where the 24-h average temperature was shown to have the greatest correlation to electricity service data in the Phoenix, Arizona, USA, metropolitan region. A methodology was then developed for using the model to predict TDE consumption reduction and corresponding cost-saving analysis when implementing the four mitigation strategies. The four modeled UHI mitigation strategies, taken in combination, would lead to the largest percent reduction in annual energy usage, where increasing the thermal conductivity is the single most effective mitigation strategy. The single least effective mitigation strategy, increasing the emissivity by 5% from the baseline value, resulted in an average calculated reduction of about 1570 GWh in yearly energy usage with a corresponding 157 million dollar cost savings. When the four parameters were increased in unison by 20% from baseline values, an average calculated reduction of about 2050 GWh in yearly energy usage was predicted with a corresponding 205 million dollar cost savings.

  2. 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

  3. 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

  4. Users of electric heating rewarded

    Energy Technology Data Exchange (ETDEWEB)

    Haapakoski, M. [ed.

    1998-07-01

    When the building industry plunged into the deep recession of the early 1990s this did not paralyse research and development work on electric heating. In fact, IVO and power companies launched the `Electrically Heated Homes in the New Millennium` project in 1992. Its purpose was to verify the efficiency, energy economy and residential comfort of model systems using state-of-the-art electric heating technology. The research project launched six years ago is now nearing completion. Its findings indicate that electricity brings ever more unparalleled benefits when it is used for heating. These benefits involve residential comfort, ease of use and economy

  5. State energy price projections for the residential sector, 1992--1993

    International Nuclear Information System (INIS)

    1992-01-01

    The purpose of this report, State Energy Price Projections for the Residential Sector, 1992--1993, is to provide projections of State-level residential prices for 1992 and 1993 for the following fuels: electricity, natural gas, heating oil, liquefied petroleum gas (LPG), kerosene, and coal. Prices for 1991 are also included for comparison purposes. This report also explains the methodology used to produce these estimates and the limitations

  6. 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)

  7. Heating great residential units with combustion-motor heat pumps

    Energy Technology Data Exchange (ETDEWEB)

    Vossen, W

    1982-10-01

    Economic usage of combustion-motor heat pumps requires: reliable technology and delivery of the heat pump; design and operation. The heat pump must be integrated perfectly into the heating system. This contributions is based on a three-year operational experience with over 150 heat pumps used mainly in residential and administrative buildings (plus commercial buildings, swimming pools, sport centres etc.). These are heat pumps operating on the compression principle with natural gas, liquid gas, or fuel oil.

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

    International Nuclear Information System (INIS)

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

    2017-01-01

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

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

    Science.gov (United States)

    Larson, Andrew James

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

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

    International Nuclear Information System (INIS)

    Nie, Hongguang; Kemp, René

    2014-01-01

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

  11. Emergency lighting for industrial, commercial and residential premises

    CERN Document Server

    Lyons, X

    2013-01-01

    Emergency Lighting: For Industrial, Commercial and Residential Premises concerns itself with the provision of emergency lighting to facilitate exit routes for people in industrial, commercial, and residential areas. The book covers important topics such as the objectives of emergency lighting systems; the identification of safe routes under low lighting in different areas; and related devices such as luminaires, emergency signs, and way-guidance. Also discussed are the applications of emergency lighting; factors to consider in the design of emergency lighting; electrical installations; and tes

  12. 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.

  13. Estimation of energy efficiency of residential buildings

    Directory of Open Access Journals (Sweden)

    Glushkov Sergey

    2017-01-01

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

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

    International Nuclear Information System (INIS)

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

    2017-01-01

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

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

    International Nuclear Information System (INIS)

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

    2012-01-01

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

  16. Canadian consumer issues in accurate and fair electricity metering

    International Nuclear Information System (INIS)

    2000-07-01

    The Public Interest Advocacy Centre (PIAC), located in Ottawa, participates in regulatory proceedings concerning electricity and natural gas to support public and consumer interest. PIAC provides legal representation, research and policy support and public advocacy. A study aimed toward the determination of the issues at stake for residential electricity consumers in the provision of fair and accurate electricity metering, was commissioned by Measurement Canada in consultation with Industry Canada's Consumer Affairs. The metering of electricity must be carried out in a fair and efficient manner for all residential consumers. The Electricity, Gas and Inspection Act was developed to ensure compliance with standards for measuring instrumentation. The accurate metering of electricity through the distribution systems for electricity in Canada represents the main focus of this study and report. The role played by Measurement Canada and the increased efficiencies of service delivery by Measurement Canada or the changing of electricity market conditions are of special interest. The role of Measurement Canada was explained, as were the concerns of residential consumers. A comparison was then made between the interests of residential consumers and those of commercial and industrial electricity consumers in electricity metering. Selected American and Commonwealth jurisdictions were reviewed in light of their electricity metering practices. A section on compliance and conflict resolution was included, in addition to a section on the use of voluntary codes for compliance and conflict resolution

  17. Electricity and gas market observatory. 2. Quarter 2007

    International Nuclear Information System (INIS)

    2007-01-01

    The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web site (www.cre.fr). The present observatory is dedicated only to eligible customers before 1 July 2007, i.e. non-residential customers. Statistics related to residential customers will be published in the next observatory (1 December 2007). Content: A - The electricity market: The retail electricity market (Introduction, Non-residential customer segments and their respective weights, Status at July 1, 2007, Dynamic analysis: 2. Quarter 2007); The wholesale electricity market (Introduction, Wholesale market activity in France, Wholesale market activity in France, Prices on the French wholesale market and European comparison, Import and export volumes, Concentration of the French electricity market, Striking fact of the second quarter 2007); B - The gas market: The retail gas market (Introduction, The non-residential customer segments and their respective weights, Status at July 1, 2007); The wholesale gas market (Gas pricing and gas markets in Europe, The wholesale market in France); C - Appendices: Electricity and gas market observatories combined glossary, Specific electricity market observatory glossary, Specific gas market observatory glossary

  18. RESIDENTIAL EXPOSURE TO EXTREMELY LOW FREQUENCY ELECTRIC AND MAGNETIC FIELDS IN THE CITY OF RAMALLAH-PALESTINE.

    Science.gov (United States)

    Abuasbi, Falastine; Lahham, Adnan; Abdel-Raziq, Issam Rashid

    2018-04-01

    This study was focused on the measurement of residential exposure to power frequency (50-Hz) electric and magnetic fields in the city of Ramallah-Palestine. A group of 32 semi-randomly selected residences distributed amongst the city were under investigations of fields variations. Measurements were performed with the Spectrum Analyzer NF-5035 and were carried out at one meter above ground level in the residence's bedroom or living room under both zero and normal-power conditions. Fields' variations were recorded over 6-min and some times over few hours. Electric fields under normal-power use were relatively low; ~59% of residences experienced mean electric fields V/m. The highest mean electric field of 66.9 V/m was found at residence R27. However, electric field values were log-normally distributed with geometric mean and geometric standard deviation of 9.6 and 3.5 V/m, respectively. Background electric fields measured under zero-power use, were very low; ~80% of residences experienced background electric fields V/m. Under normal-power use, the highest mean magnetic field (0.45 μT) was found at residence R26 where an indoor power substation exists. However, ~81% of residences experienced mean magnetic fields residences showed also a log-normal distribution with geometric mean and geometric standard deviation of 0.04 and 3.14 μT, respectively. Under zero-power conditions, ~7% of residences experienced average background magnetic field >0.1 μT. Fields from appliances showed a maximum mean electric field of 67.4 V/m from hair dryer, and maximum mean magnetic field of 13.7 μT from microwave oven. However, no single result surpassed the ICNIRP limits for general public exposures to ELF fields, but still, the interval 0.3-0.4 μT for possible non-thermal health impacts of exposure to ELF magnetic fields, was experienced in 13% of the residences.

  19. Chapter 6: Residential Lighting Evaluation Protocol

    Energy Technology Data Exchange (ETDEWEB)

    Dimetrosky, Scott [Apex Analytics LLC, Boulder, CO (United States); Parkinson, Katie [Apex Analytics LLC, Boulder, CO (United States); Lieb, Noah [Apex Analytics LLC, Boulder, CO (United States)

    2015-02-01

    In recent years, residential lighting has represented a significant share of ratepayer-funded energy-efficiency electricity savings. Utilities have achieved the majority of these savings by promoting the purchase and installation of compact fluorescent lamps (CFLs), both standard 'twister' bulbs and specialty CFLs such as reflectors, A-Lamps, globes, and dimmable lights.

  20. Economic evaluation of small wind turbines and hybrid systems for residential use

    Directory of Open Access Journals (Sweden)

    Predescu Mihail

    2016-01-01

    Full Text Available Renewable electricity generating systems are gaining ground in residential sector for the purpose of diminishing the electricity bills or to reaching some degree of energy independence. The decision to invest in small wind turbines or hybrid energy generation technologies should be based on an economic estimation of money invested in such systems. Levelized Cost of Energy (LCOE calculation for local technologies of choice for residential energy generation is a very meaningful figure for deciding whether the investment can bring financial satisfaction and for selecting which type of technology is the best suited for a specific location.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1994-05-01

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

  2. Domestic Electricity Usage Regulation Using µCHP Appliances

    NARCIS (Netherlands)

    Molderink, Albert; Bakker, Vincent; Hurink, Johann L.; Smit, Gerardus Johannes Maria; Kokkeler, Andre B.J.

    Energy saving is a hot topic. People are getting more and more aware of their energy usage because of continuously rising energy prices and awareness of the greenhouse problem. One of the most important causes of the greenhouse effect is the massive emission of carbon dioxide (CO2). CO2 is produced

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

    International Nuclear Information System (INIS)

    Goulding, A.J.; Sabatier, G.

    2005-01-01

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

  4. 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

  5. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2011-03-15

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-01-01

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

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

    International Nuclear Information System (INIS)

    Villareal, Maria José Charfuelan; Moreira, João Manoel Losada

    2016-01-01

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

  9. 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.

  10. Alaska Village Electric Load Calculator

    Energy Technology Data Exchange (ETDEWEB)

    Devine, M.; Baring-Gould, E. I.

    2004-10-01

    As part of designing a village electric power system, the present and future electric loads must be defined, including both seasonal and daily usage patterns. However, in many cases, detailed electric load information is not readily available. NREL developed the Alaska Village Electric Load Calculator to help estimate the electricity requirements in a village given basic information about the types of facilities located within the community. The purpose of this report is to explain how the load calculator was developed and to provide instructions on its use so that organizations can then use this model to calculate expected electrical energy usage.

  11. Pricing of electricity in Indonesia

    International Nuclear Information System (INIS)

    Amarullah, M.

    1983-01-01

    The objectives of this study are 1) to establish a sound theoretical basis for the determinants of electricity demand in Indonesia, 2) to measure the welfare losses of existing electricity pricing, and 3) to suggest a method of reducing these welfare losses. An econometric model for electricity demand is estimated using pooled time-series of fifteen regions in Indonesia covering the period 1970-1979. The short run price elasticities for both residential and industrial/business sectors are found to be inelastic, while the long run price elasticities for these sectors are found to be quite elastic with a value of -.61 for the residential sector and of -1.1 for the industrial/business sector. Income elasticity is .8 in the short run and around 1.00 for the long run. The exposure variable that captures the accessibility of electricity, has long run elasticity of 1.00 for the residential sector and less than 1.00 for the industrial/business sector. Due to distributional considerations, the 1980's electricity rate was set below its efficient level, and has created a welfare loss of Rp.8273.23 million per month. This accounts for 36.03% of the monthly electricity revenue. A rebate mechanism is recommended in this study, which provides a way to mitigate conflicting aspects of efficiency and equity

  12. 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.

  13. Risk management and participation planning of electric vehicles in smart grids for demand response

    International Nuclear Information System (INIS)

    Nezamoddini, Nasim; Wang, Yong

    2016-01-01

    Demand response (DR) can serve as an effective tool to better balance the electricity demand and supply in the smart grid. It is defined as 'the changes in electricity usage by end-use customers from their normal consumption patterns' in response to pricing and incentive payments. This paper focuses on new opportunities for DR with electric vehicles (EVs). EVs are potential distributed energy resources that support both the grid-to-vehicle and vehicle-to-grid modes. Their participation in the time-based (e.g., time-of-use) and incentive-based (e.g., regulation services) DR programs helps improve the stability and reduce the potential risks to the grid. Smart scheduling of EV charging and discharging activities also supports high penetration of renewables with volatile energy generation. This paper proposes a novel stochastic model from the Independent System Operator's perspective for risk management and participation planning of EVs in the smart grid for DR. The risk factors considered in this paper involve those caused by uncertainties in renewables (wind and solar), load patterns, parking patterns, and transmission lines' reliability. The effectiveness of the model in response to various settings such as the area type (residential, commercial, and industrial), the EV penetration level, and the risk level has been investigated. - Highlights: • We identify new opportunities for demand response (DR) using electric vehicles (EVs). • We integrate EVs in both grid-to-vehicle and vehicle-to-grid modes in smart grids. • EV participation for both time- and incentive-based DR programs are modelled. • We consider uncertainties in renewables, load, parking, and transmission lines. • Model case studies are demonstrated in residential, commercial, and industrial areas.

  14. Economic impacts of current harmonic from nonlinear loads on residential electricity distribution networks; Impactos economicos dos harmonicos de corrente das cargas nao lineares em redes eletricas de distribuicao residenciais

    Energy Technology Data Exchange (ETDEWEB)

    Duarte, Carlos Henrique

    2010-04-15

    To achieve more efficient energy use, power electronics systems (PES) may be employed. However, this introduce nonlinear loads into the system by generating undesired frequencies that are harmonic in relation to (multiples of) the fundamental frequency (60 Hz in Brazil). Consequently, devices using PES (power electronics systems) are more efficient but also contribute significantly to degradation of power quality. Besides this, both the conventional rules on design and operation of power systems and the usual premises followed in energy efficiency programs (without mentioning the electricity consumed by the devices themselves) consider the sinusoidal voltage and current waveforms at the fixed fundamental frequency (60 Hz in Brazil) of the power grid. Thus, analysis of electricity consumption reductions in energy efficiency programs that include the use of PES considers the reduction of kWh to the final consumer but not the additional losses caused by the increase in harmonic distortion. This dissertation investigates this problem by exploring a case study of the ownership and use of television sets (TV sets) to estimate the economic impacts of residential PES on a mainly residential electricity distribution system. (author)

  15. Residential building envelope heat gain and cooling energy requirements

    International Nuclear Information System (INIS)

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

    2005-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2009-03-31

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

  17. Electricity and gas market observatory. 2. quarter 2007

    International Nuclear Information System (INIS)

    2007-01-01

    Since July 1, 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web-site (www.cre.fr). It presents: The electricity market; The retail electricity market: Non-residential customer segments and their respective weights, Status at July 1, 2007, Dynamic analysis: 2. Quarter 2007; The wholesale electricity market: Wholesale market activity in France, Prices on the French wholesale market and European comparison, Import and export volumes, Concentration of the French electricity market, Striking facts of the second quarter 2007; The gas market; The retail gas market: The non-residential customer segments and their respective weights, Status at July 1. 2007; The wholesale gas market: Gas pricing and gas markets in Europe,The wholesale market in France. Some glossaries are attached to the document: Electricity and gas market observatories combined glossary; Specific electricity market observatory glossary; Specific gas market observatory glossary

  18. Electricity and gas market observatory. 2. quarter 2007

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-07-01

    Since July 1, 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web-site (www.cre.fr). It presents: The electricity market; The retail electricity market: Non-residential customer segments and their respective weights, Status at July 1, 2007, Dynamic analysis: 2. Quarter 2007; The wholesale electricity market: Wholesale market activity in France, Prices on the French wholesale market and European comparison, Import and export volumes, Concentration of the French electricity market, Striking facts of the second quarter 2007; The gas market; The retail gas market: The non-residential customer segments and their respective weights, Status at July 1. 2007; The wholesale gas market: Gas pricing and gas markets in Europe,The wholesale market in France. Some glossaries are attached to the document: Electricity and gas market observatories combined glossary; Specific electricity market observatory glossary; Specific gas market observatory glossary.

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

    Energy Technology Data Exchange (ETDEWEB)

    Hendron, R.; Eastment, M.

    2006-08-01

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

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

    International Nuclear Information System (INIS)

    Haas, C.

    1990-05-01

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

  1. The Electricity Usage Pattern for Cooker Manufacturing in Three European Countries. A Benchmarking Study of Electrolux Factories

    Energy Technology Data Exchange (ETDEWEB)

    Nord-Aagren, Elisabet

    2002-12-01

    The European electricity market became deregulated by January 1999 and it is now free to trade electricity across borders. The price of electricity varies to a great extent among the countries within the European Union. Swedish electricity will increasingly be an export product on the European electricity market, due to the lower price compared with other countries in Europe. Energy statistics and studies indicate a clear relation between electricity price and electricity use. For the industrial sector in countries with low electricity prices, electricity is a major energy source. Electricity is the dominant energy source, not only for industrial processes but also for support processes, e.g. process heating and heating of the premises. The situation is quite different for industry in countries with high electricity prices. Electricity is sparingly used and only for electricity-specific processes. This thesis presents a benchmarking study of the electricity usage pattern for Electrolux cooker manufacturing in three European cities, i.e. Fredericia in Denmark, Spennymoor in England and Motala in Sweden. The basic idea is to investigate the relation between electricity price and use for cooker manufacturing and explain the differences. The results show that a high electricity price corresponds to a low electricity use and vice versa. Motala has the highest electricity use and the lowest electricity price. Spennymoor's electricity use is half of Motala's and the electricity price is about double Motala's. Spennymoor and Fredericia have about the same electricity price. They differ mainly in which energy source is used for process heating. The total energy use per cooker at Motala is rather close to that of Fredericia. They use less energy than Spennymoor, which has a high gas use. The total energy cost for Fredericia is 45.9 SEK/unit, Motala is 23.7 SEK/unit and Spennymoor is 40.9 SEK/unit. In this study the unit process method was used. The method is a

  2. Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings

    Energy Technology Data Exchange (ETDEWEB)

    Garbesi, Karina; Vossos, Vagelis; Sanstad, Alan; Burch, Gabriel

    2011-10-13

    An increasing number of energy efficient appliances operate on direct current (DC) internally, offering the potential to use DC from renewable energy systems directly and avoiding the losses inherent in converting power to alternating current (AC) and back. This paper investigates that potential for net-metered residences with on-site photovoltaics (PV) by modeling the net power draw of the ‘direct-DC house’ with respect to today’s typical configuration, assuming identical DC-internal loads. Power draws were modeled for houses in 14 U.S. cities, using hourly, simulated PV-system output and residential loads. The latter were adjusted to reflect a 33% load reduction, representative of the most efficient DC-internal technology, based on an analysis of 32 electricity end-uses. The model tested the effect of climate, electric vehicle (EV) loads, electricity storage, and load shifting on electricity savings; a sensitivity analysis was conducted to determine how future changes in the efficiencies of power system components might affect savings potential. Based on this work, we estimate that net-metered PV residences could save 5% of their total electricity load for houses without storage and 14% for houses with storage. Based on residential PV penetration projections for year 2035 obtained from the National Energy Modeling System (2.7% for the reference case and 11.2% for the extended policy case), direct-DC could save the nation 10 trillion Btu (without storage) or 40 trillion Btu (with storage). Shifting the cooling load by two hours earlier in the day (pre-cooling) has negligible benefits for energy savings. Direct-DC provides no energy savings benefits for EV charging, to the extent that charging occurs at night. However, if charging occurred during the day, for example with employees charging while at work, the benefits would be large. Direct-DC energy savings are sensitive to power system and appliance conversion efficiencies but are not significantly

  3. Analysis of institutional mechanisms affecting residential and commercial buildings retrofit

    Energy Technology Data Exchange (ETDEWEB)

    1980-09-01

    Barriers to energy conservation in the residential and commercial sectors influence (1) the willingness of building occupants to modify their energy usage habits, and (2) the willingness of building owners/occupants to upgrade the thermal characteristics of the structures within which they live or work and the appliances which they use. The barriers that influence the willingness of building owners/occupants to modify the thermal efficiency characteristics of building structures and heating/cooling systems are discussed. This focus is further narrowed to include only those barriers that impede modifications to existing buildings, i.e., energy conservation retrofit activity. Eight barriers selected for their suitability for Federal action in the residential and commercial sectors and examined are: fuel pricing policies that in the short term do not provide enough incentive to invest in energy conservation; high finance cost; inability to evaluate contractor performance; inability to evaluate retrofit products; lack of well-integrated or one-stop marketing systems (referred to as lack of delivery systems); lack of precise or customized information; lack of sociological/psychological incentives; and use of the first-cost decision criterion (expanded to include short-term payback criterion for the commercial sector). The impacts of these barriers on energy conservation are separately assessed for the residential and commercial sectors.

  4. 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.

  5. Economic performance and policies for grid-connected residential solar photovoltaic systems in Brazil

    International Nuclear Information System (INIS)

    Mitscher, Martin; Rüther, Ricardo

    2012-01-01

    We analyze the economic competitiveness of grid-connected, distributed solar photovoltaic generation through small-scale rooftop installations in five Brazilian state-capitals. The locations represent a comprehensive set of the two essential parameters for the economic viability of PV—solar irradiation and local electricity tariffs. Levelized electricity costs (LEC) for PV generation and net present values (NPV) for a specific PV system are presented. The analysis comprises three different interest rate scenarios reflecting different conditions for capital acquisition to finance the generators; subsidized, mature market and country-specific risk-adjusted interest. In the NPV analysis, revenue flow is modeled by the sale of PV electricity at current residential tariffs assuming net metering. Using subsidized interest rates, the analysis shows that solar PV electricity is already competitive in Brazil, while in the country-specific risk-adjusted rate, the declining, but still high capital costs of PV make it economically unfeasible. At a mature market interest rate, PV competitiveness is largely dependent on the residential tariff. Economic competitiveness in this scenario is given for locations with high residential tariffs. We demonstrate the high potential of distributed generation with photovoltaic installations in Brazil, and show that under certain conditions, grid-connected PV can be economically competitive in a developing country. - Highlights: ► Debt financed grid-connected PV on Brazilian rooftops can be economically feasible since 2011. ► The cost of capital in Brazil is the decisive parameter in PV competitiveness with conventional generation sources. ► Low-cost, long-term financing is an essential requirement for PV to become an economically justifiable generation alternative. ► The Brazilian market holds huge potential for distributed, residential rooftop PV systems of small size.

  6. MICRO-CHP System for Residential Applications

    Energy Technology Data Exchange (ETDEWEB)

    Joseph Gerstmann

    2009-01-31

    This is the final report of progress under Phase I of a project to develop and commercialize a micro-CHP system for residential applications that provides electrical power, heating, and cooling for the home. This is the first phase of a three-phase effort in which the residential micro-CHP system will be designed (Phase I), developed and tested in the laboratory (Phase II); and further developed and field tested (Phase III). The project team consists of Advanced Mechanical Technology, Inc. (AMTI), responsible for system design and integration; Marathon Engine Systems, Inc. (MES), responsible for design of the engine-generator subsystem; AO Smith, responsible for design of the thermal storage and water heating subsystems; Trane, a business of American Standard Companies, responsible for design of the HVAC subsystem; and AirXchange, Inc., responsible for design of the mechanical ventilation and dehumidification subsystem.

  7. Forecasted electric power demands for the Baltimore Gas and Electric Company. Volume 1 and Volume 2. Documentation manual

    International Nuclear Information System (INIS)

    Estomin, S.L.; Beach, J.E.; Goldsmith, J.V.

    1991-05-01

    The two-volume report presents the results of an econometric forecast of peak load and electric power demand for the Baltimore Gas and Electric Company (BG ampersand E) through the year 2009. Separate energy sales models were estimated for residential sales in Baltimore City, residential sales in the BG ampersand E service area excluding Baltimore City, commercial sales, industrial sales, streetlighting sales, and Company use plus losses. Econometric equations were also estimated for electric space heating and air conditioning saturation in Baltimore City and in the remainder of the BG ampersand E service territory. In addition to the energy sales models and the electric space conditioning saturation models, econometric models of summer and winter peak demand on the BG ampersand E system were estimated

  8. Residential CCHP microgrid with load aggregator: Operation mode, pricing strategy, and optimal dispatch

    International Nuclear Information System (INIS)

    Gu, Wei; Lu, Shuai; Wu, Zhi; Zhang, Xuesong; Zhou, Jinhui; Zhao, Bo; Wang, Jun

    2017-01-01

    Highlights: •A bilateral transaction mode for the residential CCHP microgrid is proposed. •An energy pricing strategy for the residential CCHP system is proposed. •A novel integrated demand response for the residential loads is proposed. •Two-stage operation optimization model for the CCHP microgrid is proposed. •Operations of typical days and annual scale of the CCHP microgrid are studied. -- Abstract: As the global energy crisis, environmental pollution, and global warming grow in intensity, increasing attention is being paid to combined cooling, heating, and power (CCHP) systems that realize high-efficiency cascade utilization of energy. This paper proposes a bilateral transaction mechanism between a residential CCHP system and a load aggregator (LA). The variable energy cost of the CCHP system is analyzed, based on which an energy pricing strategy for the CCHP system is proposed. Under this pricing strategy, the electricity price is constant, while the heat/cool price is ladder-shaped and dependent on the relationship between the electrical, heat, and cool loads. For the LA, an integrated demand response program is proposed that combines electricity-load shifting and a flexible heating/cooling supply, in which a thermodynamic model of buildings is used to determine the appropriate range of heating/cooling supply. Subsequently, a two-stage optimal dispatch model is proposed for the energy system that comprises the CCHP system and the LA. Case studies consisting of three scenarios (winter, summer, and excessive seasons) are delivered to demonstrate the effectiveness of the proposed approach, and the performance of the proposed pricing strategy is also evaluated by annual operation simulations.

  9. Performance-based potential for residential energy efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Performance-based potential for residential energy efficiency

    2013-01-15

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

  10. 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

  11. Evaluation of fuel-switching opportunities in the residential sector

    OpenAIRE

    Almeida, Aníbal T. de; Lopes, Ana; Carvalho, Anabela; Mariano, Jorge; Nunes, Catarina

    2004-01-01

    The aim of this paper is to analyse the impact of different natural gas and electricity end-use technologies in the residential sector, which compete among themselves in terms of energy consumption and carbon emissions. The analysis of 17 different technology options, which were chosen in order to match the consumption behaviour of a typical Portuguese family, has shown that the use of electric heat pumps, both for space and water-heating, combined with the use of a natural gas cooker, leads ...

  12. Design of a DC-AC Link Converter for 500W Residential Wind Generator

    OpenAIRE

    Riza Muhida; Ahmad Firdaus A. Zaidi; Afzeri Tamsir; Rudi Irawan

    2012-01-01

     As one of alternative sources of renewable energy, wind energy has an excellence prospect in Indonesia, particularly in coastal and hilly areas which have potential wind to generate electricity for residential uses. There is urgent need to locally develop low cost inverter of wind generator system for residential use. Recent developments in power electronic converters and embedded computing allow improvement of power electronic converter devices that enable integration of microcontrollers in...

  13. Energy and electricity use in buildings. Pre-study; Energi- och Elanvaendning i byggnader. Foerstudie

    Energy Technology Data Exchange (ETDEWEB)

    Dalenbaeck, Jan-Olof; Goeransson, Anders; Jagemar, Lennart [Chalmers EnergiCentrum CEC, Goeteborg (Sweden)

    2006-05-15

    residential buildings and business premises is about 30 TWh of net heat and 15 TWh of electricity. The savings that are in fact realised depend on a number of factors. Based on the assumption that energy prices will continue to rise, energy declarations will be generally accepted and the requirements governing the energy performance of buildings will be stepped up, we feel that it is realistic to expect the realisable potential to be somewhere in the region of 10 TWh of net heat and 5 TWh of electricity within the next 10-20 years. Future energy declarations and the classification of buildings, the call for hour-based readings of electricity subscriptions and new lighting technology are the kind of factors that could impact future electricity use in existing houses and buildings. A number of relevant projects which are aiming to 'understand' (user behaviour, mapping of electricity usage etc) and make the energy use more efficient in buildings are currently in progress. Several of them are focusing on reducing the usage of electricity in houses and buildings. A number of different studies of the future indicate everything from an increase in the use of energy to a significant reduction. Several studies stress the large-scale potential for energy efficiency and saving measures, while describing many obstacles along the way. To summarise, it would probably be true to say that 'business as usual' means that the use of electricity will remain at the same level or will continue to increase within the foreseeable future and that a reduction in the use of electricity can only be achieved by joining forces to implement a combination of wholehearted efforts.

  14. Small wind turbine energy policies for residential and small business usage in Ontario, Canada

    International Nuclear Information System (INIS)

    Heagle, A.L.B.; Naterer, G.F.; Pope, K.

    2011-01-01

    This paper examines the social barriers, policies, and incentive programs for residential and small business small wind (RBSW) projects, particularly in Ontario, Canada, as well as comparisons with California, US, and the United Kingdom. The alignment between socio-political and community acceptance is considered for its impact on market acceptance of the technology. Barriers inhibiting social acceptance of RBSW projects include adequate capacity factor, cost effectiveness, wind variability, audio-esthetics impact, health and safety, procedural fairness, and transparency. A review of the policies for implementation of small wind projects in each location is presented. Strategies to overcome barriers to social acceptance are examined, along with recommendations for the increased implementation of RBSW projects worldwide. Recommendations to increase social acceptance and subsequent implementation of RBSW projects include the collaboration of government agencies, industry and community members, during RBSW implementation processes, and the provision of consistent, long-term, supportive policies and incentive programs for project owners. - Highlights: → This paper examines the social barriers, policies, and incentive programs for residential and small business small wind (RBSW) projects, particularly in Ontario, Canada, as well as comparisons with California, US, and the United Kingdom. → Barriers inhibiting social acceptance of RBSW projects include adequate capacity factor, cost effectiveness, wind variability, audio-esthetics impact, health and safety, procedural fairness, and transparency. → Recommendations to increase social acceptance and subsequent implementation of RBSW projects include the collaboration of government agencies, industry and community members, during RBSW implementation processes, and the provision of consistent, long-term, supportive policies and incentive programs for project owners.

  15. Development of a High-Fidelity Model for an Electrically Driven Energy Storage Flywheel Suitable for Small Scale Residential Applications

    Directory of Open Access Journals (Sweden)

    Mustafa E. Amiryar

    2018-03-01

    Full Text Available Energy storage systems (ESS are key elements that can be used to improve electrical system efficiency by contributing to balance of supply and demand. They provide a means for enhancing the power quality and stability of electrical systems. They can enhance electrical system flexibility by mitigating supply intermittency, which has recently become problematic, due to the increased penetration of renewable generation. Flywheel energy storage systems (FESS are a technology in which there is gathering interest due to a number of advantages offered over other storage solutions. These technical qualities attributed to flywheels include high power density, low environmental impact, long operational life, high round-trip efficiency and high cycle life. Furthermore, when configured in banks, they can store MJ levels of energy without any upper limit. Flywheels configured for grid connected operation are systems comprising of a mechanical part, the flywheel rotor, bearings and casings, and the electric drive part, inclusive of motor-generator (MG and power electronics. This contribution focusses on the modelling and simulation of a high inertia FESS for energy storage applications which has the potential for use in the residential sector in more challenging situations, a subject area in which there are few publications. The type of electrical machine employed is a permanent magnet synchronous motor (PMSM and this, along with the power electronics drive, is simulated in the MATLAB/Simulink environment. A brief description of the flywheel structure and applications are given as a means of providing context for the electrical modelling and simulation reported. The simulated results show that the system run-down losses are 5% per hour, with overall roundtrip efficiency of 88%. The flywheel speed and energy storage pattern comply with the torque variations, whilst the DC-bus voltage remains constant and stable within ±3% of the rated voltage, regardless of

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

    Directory of Open Access Journals (Sweden)

    Nadeem Javaid

    2017-10-01

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

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

    International Nuclear Information System (INIS)

    Eisenberg, J

    2001-01-01

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

  18. 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...

  19. Electricity/natural gas competition in Quebec

    International Nuclear Information System (INIS)

    Bernard, J.-T.

    1992-01-01

    The evolution of energy market shares (electricity, natural gas and oil products) in Quebec's residential and commercial sectors in the 1980s shows that energy source relative prices have influenced consumer behavior as expected. A set of comparisons from space and water heating markets in these sectors with regard to prices paid by consumers and costs incurred by society in general is presented. For the residential sector, it is seen that consumers pay only a fraction of the cost for electric space and water heating; the same service could be provided at smaller cost by natural gas. For the commercial sector, the electricity and natural gas tariffs convey the appropriate message with respect to the cost incurred in providing the service. 6 refs., 7 tabs

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

    International Nuclear Information System (INIS)

    Yao Chunsheng; Chen Chongying; Li Ming

    2012-01-01

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

  1. Coal's nascent recovery faces early test

    Energy Technology Data Exchange (ETDEWEB)

    Soras, C.; Stodden, J.

    1987-10-01

    Coal markets continued to revive during August, as year-to-date production advanced to close to within 5.9 million tons, or 1.0%, of 1986's running total for the same time span. The dynamo behind the resurgence continues to be electric power production. Coal consumption by utilities had climbed to 11 million tons by the middle of the year, spurred by rising industrial usage and increased commercial and residential demands. However, the situation has now changed due to the decline in the US economy. The paper discusses this decline and the likely consequences of various policies aimed at stabilising the economy. Deficit reduction is seen as a sensible response to the crisis and the paper forecasts that this could lead to an increase in industrial output and demand for electricity with a consequent rise in coal usage. Similarly, new home construction could increase to the benefit of residential electricity sales and coal consumption in turn. 1 tab.

  2. Estimating State-Specific Contributions to PM2.5- and O3-Related Health Burden from Residential Combustion and Electricity Generating Unit Emissions in the United States.

    Science.gov (United States)

    Penn, Stefani L; Arunachalam, Saravanan; Woody, Matthew; Heiger-Bernays, Wendy; Tripodis, Yorghos; Levy, Jonathan I

    2017-03-01

    Residential combustion (RC) and electricity generating unit (EGU) emissions adversely impact air quality and human health by increasing ambient concentrations of fine particulate matter (PM 2.5 ) and ozone (O 3 ). Studies to date have not isolated contributing emissions by state of origin (source-state), which is necessary for policy makers to determine efficient strategies to decrease health impacts. In this study, we aimed to estimate health impacts (premature mortalities) attributable to PM 2.5 and O 3 from RC and EGU emissions by precursor species, source sector, and source-state in the continental United States for 2005. We used the Community Multiscale Air Quality model employing the decoupled direct method to quantify changes in air quality and epidemiological evidence to determine concentration-response functions to calculate associated health impacts. We estimated 21,000 premature mortalities per year from EGU emissions, driven by sulfur dioxide emissions forming PM 2.5 . More than half of EGU health impacts are attributable to emissions from eight states with significant coal combustion and large downwind populations. We estimate 10,000 premature mortalities per year from RC emissions, driven by primary PM 2.5 emissions. States with large populations and significant residential wood combustion dominate RC health impacts. Annual mortality risk per thousand tons of precursor emissions (health damage functions) varied significantly across source-states for both source sectors and all precursor pollutants. Our findings reinforce the importance of pollutant-specific, location-specific, and source-specific models of health impacts in design of health-risk minimizing emissions control policies. Citation: Penn SL, Arunachalam S, Woody M, Heiger-Bernays W, Tripodis Y, Levy JI. 2017. Estimating state-specific contributions to PM 2.5 - and O 3 -related health burden from residential combustion and electricity generating unit emissions in the United States. Environ

  3. 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

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

    International Nuclear Information System (INIS)

    Jamil, Faisal; Ahmad, Eatzaz

    2010-01-01

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

  5. Optimal Resources Planning of Residential Complex Energy System in a Day-ahead Market Based on Invasive Weed Optimization Algorithm

    Directory of Open Access Journals (Sweden)

    P. Αhmadi

    2017-10-01

    Full Text Available This paper deals with optimal resources planning in a residential complex energy system, including FC (fuel cell, PV (Photovoltaic panels and the battery. A day-ahead energy management system (EMS based on invasive weed optimization (IWO algorithm is defined for managing different resources to determine an optimal operation schedule for the energy resources at each time interval to minimize the operation cost of a smart residential complex energy system. Moreover, in this paper the impacts of the sell to grid and purchase from grid are also considered. All practical constraints of the each energy resources and utility policies are taken into account. Moreover, sensitivity analysis are conducted on electricity prices and sell to grid factor (SGF, in order to improve understanding the impact of key parameters on residential CHP systems economy. It is shown that proposed system can meet all electrical and thermal demands with economic point of view. Also enhancement of electricity price leads to substantial growth in utilization of proposed CHP system.

  6. Solar Adoption and Energy Consumption in the Residential Sector

    Science.gov (United States)

    McAllister, Joseph Andrew

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

  7. 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.

  8. Is an all-electric society possible? BIP-Enerpresse debate, July 7, 2009

    International Nuclear Information System (INIS)

    2009-01-01

    This paper is a synthesis of a debate where interveners were asked whether an all-electric society was desirable or possible. According to them, the share of electricity will increase, notably under the influence of developing countries. They comment the possible evolutions of the energy mix, the development of electric vehicles, and the transfer towards electricity in several sectors (transport, industry, and building) by giving up fossil energies. They outline the problem of storage of electricity, particularly in the perspective of the development of electric vehicles. Some other issues are discussed like the reduction of the residential energy consumption, the renewing of residential fuel heating systems

  9. Using alternative segmentation techniques to examine residential customer`s energy needs, wants, and preferences

    Energy Technology Data Exchange (ETDEWEB)

    Hollander, C.; Kidwell, S. [Union Electric Co., St. Louis, MO (United States); Banks, J.; Taylor, E. [Cambridge Reports/Research International, MA (United States)

    1994-11-01

    The primary objective of this study was to examine residential customers` attitudes toward energy usage, conservation, and efficiency, and to examine the implications of these attitudes for how the utility should design and communicate about programs and services in these areas. This study combined focus groups and customer surveys, and utilized several customer segmentation schemes -- grouping customers by geodemographics, as well as customers` energy and environmental values, beliefs, and opinions -- to distinguish different segments of customers.

  10. 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.

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

    Directory of Open Access Journals (Sweden)

    Weibin Lin

    2014-11-01

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

  12. The Formation of Usage Intention of Electric Cars

    DEFF Research Database (Denmark)

    Barbarossa, Camilla; de Pelsmacker, Patrick; Beckmann, Suzanne C.

    2015-01-01

    In this chapter we propose a model in which green self-identity (GSI) is an antecedent of both environmental concern (EC) and moral obligation (MO), which in turn influence the attitude towards electric cars (ATT). GSI is also assumed to have a direct effect on ATT. The attitude towards...... the electric car then determines the intention to adopt it. The model is empirically tested in three culturally different European countries: Denmark, Belgium and Italy. Results show that the three countries differ in the way they develop positive attitudes and intentions towards the electric car on the basis...

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

    OpenAIRE

    Darghouth, Naim Richard

    2013-01-01

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

  14. Electric vehicle - near or far

    Energy Technology Data Exchange (ETDEWEB)

    Laiho, Y.

    1997-11-01

    Traffic is rapidly becoming the number one environmental problem, especially in metropolitan areas. Electric vehicles have many important advantages to offer. Air quality would be improved, since electric vehicles do not pollute the environment. The improvement obtained might be equated with that resulting from the introduction of district heat for the heating of residential buildings. Electric vehicles also present considerable potential for energy conservation

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

    International Nuclear Information System (INIS)

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

    2015-01-01

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

  16. 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.

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

    Science.gov (United States)

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

    2017-12-01

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

  18. Impact of Alternative Rate Structures on Distributed Solar Customer Electricity Bills

    Energy Technology Data Exchange (ETDEWEB)

    McLaren, Joyce A [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2018-03-02

    Electric utilities are increasingly proposing changes to residential rate structures, in order to address concerns about their inability to recover fixed system costs from customers with grid connected distributed generation. The most common proposals have been to increase fixed charges, set minimum bills or instigate residential demand charges. This presentation provides results of an analysis to explore how these rate design alternatives impact electricity bills for PV and non-PV customers.

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

    Directory of Open Access Journals (Sweden)

    Davide Carboni

    2016-05-01

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

  20. Fuel cell usage in motor vehicles

    International Nuclear Information System (INIS)

    Vellone, R.

    1998-01-01

    Much interest has been aroused by fuel cell usage in motor vehicles, since this technology seems to overcome the conventional limits by other kinds of drive, i.e. the high environmental impact of internal-combustion engines and the drawbacks of electric battery vehicles in terms of maximum operating range and battery recharge time. After 2010 its costs are expected to fall in competitive levels with internal-combustion engines [it

  1. The Newnes guide to home electrics

    CERN Document Server

    Burdett, Geoffrey

    2013-01-01

    Home Electrics, Second Edition provides a do-it-yourself (DIY) guide to residential electric systems. The book is comprised of 15 chapters that cover the different aspects of home electrics. The topics covered in the text include electrical installation, rewiring, power circuits, electrical hardware, electrical repairs, tools, and safety. The book also discusses a specific area or function of home electronics, such as lighting system, lamps, electric cookers, and outdoor electrical extension. The book will be of great use to individuals interested in learning how to conduct proper home electri

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

    Directory of Open Access Journals (Sweden)

    Adi Ainurzaman Jamaludin

    2011-12-01

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

  3. A combined usage of stochastic and quantitative risk assessment methods in the worksites: Application on an electric power provider

    International Nuclear Information System (INIS)

    Marhavilas, P.K.; Koulouriotis, D.E.

    2012-01-01

    An individual method cannot build either a realistic forecasting model or a risk assessment process in the worksites, and future perspectives should focus on the combined forecasting/estimation approach. The main purpose of this paper is to gain insight into a risk prediction and estimation methodological framework, using the combination of three different methods, including the proportional quantitative-risk-assessment technique (PRAT), the time-series stochastic process (TSP), and the method of estimating the societal-risk (SRE) by F–N curves. In order to prove the usefulness of the combined usage of stochastic and quantitative risk assessment methods, an application on an electric power provider industry is presented to, using empirical data.

  4. 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.

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

    International Nuclear Information System (INIS)

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

    2014-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-12-31

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

  7. Optimized assessment and usage of biological waste; Optimierte Erfassung und Verwertung von Bioabfall

    Energy Technology Data Exchange (ETDEWEB)

    Kern, Michael; Raussen, Thomas (eds.)

    2013-07-01

    The booklet on the optimized assessment and usage of biological waste includes contributions on the following issues: implementation of the bio-waste assessment in the federal states; economy and ecology of bio-waste fermentation; practice forum biogas: new bio-waste fermentation plants in Germany; effects of legal reforms on the usage and processing of bio-waste; flexible electricity input and power-to-gas.

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

    International Nuclear Information System (INIS)

    Wakiyama, Takako; Kuramochi, Takeshi

    2017-01-01

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

  10. Electricity subsidies in low-cost jurisdictions : the case of British Columbia

    International Nuclear Information System (INIS)

    Pineau, P.O.

    2008-01-01

    This article reviewed the concept of energy subsidies and estimated their significance to residential consumers in British Columbia. It cautioned that energy subsidies provided to electricity consumers create artificially low electricity prices that result in inefficient consumption levels to the detriment of the environment. An estimate of the indirect subsidies was presented along with an evaluation of potential consumption reduction scenarios if market prices were used. The author argued that subsidies, which are customary in developed countries where electricity use is high, tend to help higher-income households. An evaluation of the distribution of this subsidy across income groups showed that high-income households, which use more electricity than lower-income households, receive more than $500 per year in subsidy through regulated low electricity prices, whereas low-income households get approximately $200. This subsidy is estimated at $489 million per year in British Columbia. The author suggested that profits could be increased by $432 million by setting residential electricity prices nearer to the regional export price. This profit could be realized even after allowing for a direct transfer payment program that compensates low-income households for the higher prices. In addition, such a measure would reduce residential electricity consumption in the province by 25 per cent

  11. Learning from the implementation of residential optional time of use pricing in the United States electricity industry

    Science.gov (United States)

    Li, Xibao

    Residential time-of-use (TOU) rates have been in practice in the U.S. since the 1970s. However, for institutional, political, and regulatory reasons, only a very small proportion of residential customers are actually on these schedules. In this thesis, I explore why this is the case by empirically investigating two groups of questions: (1) On the "supply" side: Do utilities choose to offer TOU rates in residential sectors on their own initiative if state commissions do not order them to do so? Since utilities have other options, what is the relationship between the TOU rate and other alternatives? To answer these questions, I survey residential tariffs offered by more than 100 major investor-owned utilities, study the impact of various factors on utilities' rate-making behavior, and examine utility revealed preferences among four rate options: seasonal rates, inverted block rates, demand charges, and TOU rates. Estimated results suggest that the scale of residential sectors and the revenue contribution from residential sectors are the only two significant factors that influence utility decisions on offering TOU rates. Technical and economic considerations are not significant statistically. This implies that the little acceptance of TOU rates is partly attributed to utilities' inadequate attention to TOU rate design. (2) On the "demand" side: For utilities offering TOU tariffs, why do only a very small proportion of residential customers choose these tariffs? What factors influence customer choices? Unlike previous studies that used individual-level experimental data, this research employs actual aggregated information from 29 utilities offering optional TOU rates. By incorporating neo-classical demand analysis into an aggregated random coefficient logit model, I investigate the impact of both price and non-price tariff characteristics and non-tariff factors on customer choice behavior. The analysis indicates that customer pure tariff preference (which captures the

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

    Energy Technology Data Exchange (ETDEWEB)

    Tawil, J.J.

    1986-02-01

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

  13. The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

    Directory of Open Access Journals (Sweden)

    Tan Yi Rong

    2016-01-01

    Full Text Available This is a research in progress where authors seek to investigate the factors of residential fires. As part of the research, this paper aims to analyse the fire problems faced by the community of Malaysia. Data regarding residential fires between 2012 and 2014 was collected from fire investigation reports prepared by the Selangor Fire and Rescue Department. Descriptive analysis is conducted to summarize the data collected and describe the common phenomenon of residential fires. The distributions of the fire characteristics suggested that residential fires are commonly occurred during daytime, confined within the room of fire origin, caused by electrical failure and cooking negligence, started from kitchen, and occurred in multi-units housing. Further analysis will be conducted in order to investigate the relationships between the characteristics and residential fires.

  14. 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.

  15. Day-ahead residential load forecasting with artificial neural network using smart meter data

    NARCIS (Netherlands)

    Asare-Bediako, B.; Kling, W.L.; Ribeiro, P.F.

    2013-01-01

    Load forecasting is an important operational procedure for the electric industry particularly in a liberalized, deregulated environment. It enables the prediction of utilization of assets, provides input for load/supply balancing and supports optimal energy utilization. Current residential load

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1994-07-01

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

  17. 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....

  18. Advisory report on licence requirements for the marketing of natural gas and electricity to residential and small commercial consumers

    International Nuclear Information System (INIS)

    1998-01-01

    The proposed Ontario Energy Board Act, 1998 which forms part of Bill 35, would make it possible for the Board to make regulations prescribing license requirements and conditions for sellers of natural gas and electricity to residential and small commercial users. Interested stakeholders were invited to provide their input on the proposed Act. A total of 23 parties responded by submitting their comments to the Ontario Energy Board. This document presents the concerns of several parties regarding various provisions of the proposed regulatory regime affecting energy marketing. Comments on the definition of 'low volume customer', on classes of gas marketers, need and requirements for gas marketer's licence, the form and posting of security bonds by prospective gas marketers, exemptions from licensing, conditions of licensing, code of conduct for energy marketers, disclosure of customer information, were some of the proposed provisions that elicited comments

  19. Choice of electricity provider in California after deregulation

    Science.gov (United States)

    Keanini, Rasa Ilze

    Surveys often ask consumers how much they are willing to pay for certain goods and services, without requiring the consumer to actually pay for the good or service. Such surveys, termed stated preference studies, find that consumers value renewable electricity. This result is in contrast to actual experiences in recently deregulated electricity markets in several states, including California. When given the opportunity to choose in California, only one to two percent of the population opted for renewable electricity products. This dissertation used data from residential customers who chose an alternative electricity product in California's deregulated electricity market to determine the value placed on the renewable attribute of electricity products. This dissertation begins by taking a historical look at the electricity market of the nation and specifically California. From 1998 through 2001, California's electricity market was deregulated to include retail competition. This dissertation used data from electric service providers to reveal the factors influencing residential customer's choice of electricity product. Discrete choice models were used to determine the factors influencing electricity product choice. The results indicated that both price and renewable content had an effect on choice of product. Additionally, a more complicated model jointly estimating the discrete choice of electricity product with the continuous choice of electricity consumption (kWh) was specified and estimated.

  20. Energy in the residential building. Electricity, heat, e-mobility. 2. rev. and enl. ed.; Energie im Wohngebaeude. Strom, Waerme, E-Mobilitaet

    Energy Technology Data Exchange (ETDEWEB)

    Schwarzburger, Heiko

    2017-11-01

    Photovoltaics, heat pumps and fuel cells offer enormous potential for sustainable energy supply in residential buildings. Solar thermal energy and wood-fired boilers also play an important role in refurbishment. Due to the wide range of possible combinations, the wishes of building owners and homeowners for an ecologically and economically individually adapted energy concept can be fulfilled accurately. This book provides you with a holistic approach to the residential building and its supply of electricity, heat and water. All processes that play a role in the house's energy consumption are examined in their entirety for their potentials and potential savings. The author analyses and describes in detail the resources of buildings and their surroundings - and how they can be used for a truly independent supply. The focus is on reducing energy consumption and costs, the generation and supply of energy from renewable sources and energy storage - considered in new construction and modernisation. The supply of water is also dealt with if it touches on energy issues. The author draws attention to standards and regulations and gives practical advice for planning and installation. The focus is on the so-called sector coupling: electricity from the sun, wind and hydrogen is used to supply electrical consumers in the home, charging technology for electric vehicles, hot water and heating. The time of the boilers and combustion engines has elapsed. Clean electricity and digital controls - power and intelligence - determine the regenerative building technology. [German] Photovoltaik, Waermepumpen und Brennstoffzellen bieten enormes Potenzial, die Energieversorgung im Wohngebaeude nachhaltig zu gestalten. In der Sanierung spielen auch Solarthermie und Holzfeuerungen eine wichtige Rolle. Aufgrund der vielfaeltigen Kombinationsmoeglichkeiten lassen sich die Wuensche der Bauherren und Hausbesitzer nach einem oekologisch und oekonomisch individuell angepassten Energiekonzept

  1. 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.

  2. 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)

  3. INVESTIGATION OF ELECTROMAGNETIC FIELDS IN RESIDENTIAL AREAS

    Directory of Open Access Journals (Sweden)

    Dušan MEDVEĎ

    2017-09-01

    Full Text Available This article is devoted to investigation of impact of electromagnetic fields around the electrical equipment used in a residential area and their impact on the human body. This paper was based on sets of measurements of magnetic induction B with magnetometer and on computational simulations in ANSYS for particular appliances often used in household. The results from measurements and simulations led to setting out the recommendations for practical action in the form of elimination of harmful electromagnetic radiation.

  4. Residential proximinity, perceived and acceptable risk

    International Nuclear Information System (INIS)

    Rogers, G.O.

    1984-01-01

    This paper focuses on the relationship between the life experiences associated with residential proximity, and the perception and acceptability of the risks associated with generating electricity in nuclear power plants. Perceived risk is operationally defined in terms of estimated likelihood of occurrence, while acceptability of nuclear power is defined in terms of people's favorable or unfavorable opinions regarding nuclear power plants. In the context of a simple social-structural model of perceived and acceptable risk, four potential explanations for enhanced acceptability among those residentially proximate with nuclear facilities are examined: residents, through the experience of living with hazard, are reinforced toward assigning lower probabilities to the potential risks associated with nuclear facilities; the cognitive dissonance created by the acceptance of the risks associated with nuclear power is decreased by reducing perceived risk; nuclear neighbors are predisposed toward, educated about, and/or economically dependent upon nuclear power hence the more favorable attitudes toward it; nearby residents are systematically more altruistic--other oriented--than the general population and thus more willing to bear the risks associated with nuclear power

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

    International Nuclear Information System (INIS)

    Elnakat, Afamia; Gomez, Juan D.

    2015-01-01

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

  6. 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.

  7. Survey of residential magnetic field sources interim report

    International Nuclear Information System (INIS)

    Dunlap, J.H.; Zaffanella, L.E.; Johnson, G.B.

    1993-01-01

    The Electric Power Research Institute (EPRI) has conducted a nationwide survey to collect engineering data on the sources and the levels of power frequency magnetic fields that exist in residences. The survey involves measurements at approximately 1,000 residences randomly selected in the service area of 25 utilities. The information in this paper contains data from approximately 700 homes measured. The goals of the survey are to identify all significant sources of 60 Hz magnetic field in residences, estimate with sufficient accuracy the fraction of residences in which magnetic field exceeds any specified level, determine the relation between field and source parameters, and characterize spatial and temporal variations and harmonic content of the field. The data obtained relate to the level of the 60 Hz magnetic field and the source of the field, and not to personal exposure to magnetic fields, which is likely to be different due to the activity patterns of people. Magnetic fields from electrical appliances were measured intentionally away from the influence of appliance fields, which is limited to an area close to the appliance. Special measuring techniques were used to determine how the field varied within the living space of the house and over a twenty-four hour period. The field from each source is expressed in terms of how frequently a given field level is exceeded. The following sources of 60 Hz residential magnetic fields were identified: electrical appliances, grounding system of residences, overhead and underground power distribution lines, overhead power transmission lines, ground connections at electrical subpanels, and special wiring situations. Data from the appliance measurements is in a report published by EPRI, open-quotes Survey of Residential Magnetic Field Sources - Interim Reportclose quotes, TR-100194, which also provides much more detailed information on all subjects outlined in this paper

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

    International Nuclear Information System (INIS)

    2010-01-01

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

  9. Optimal Sizing of Vanadium Redox Flow Battery Systems for Residential Applications Based on Battery Electrochemical Characteristics

    OpenAIRE

    Xinan Zhang; Yifeng Li; Maria Skyllas-Kazacos; Jie Bao

    2016-01-01

    The penetration of solar photovoltaic (PV) systems in residential areas contributes to the generation and usage of renewable energy. Despite its advantages, the PV system also creates problems caused by the intermittency of renewable energy. As suggested by researchers, such problems deteriorate the applicability of the PV system and have to be resolved by employing a battery energy storage system (BESS). With concern for the high investment cost, the choice of a cost-effective BESS with prop...

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

    Science.gov (United States)

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

    2017-03-01

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

  11. Residential solar photovoltaic market stimulation: Japanese and Australian lessons for Canada

    International Nuclear Information System (INIS)

    Parker, Paul

    2008-01-01

    Canada is a leading electricity consumer, yet lags behind other industrial countries (14th out of 20 reporting IEA countries) in the installation of solar photovoltaic systems. The factors (environmental benefits, health benefits, network benefits, need for new production capacity, etc.) promoting solar or other renewable sources of electricity in other countries are also present in Canada, but effective policy mechanisms to stimulate Canada's photovoltaic industry are only starting to appear. Discussions of policy options focused initially on renewable portfolio standards and then on feed-in tariffs. This paper reviews the Japanese and Australian experience with capital incentives to stimulate the residential market for photovoltaics. It demonstrates the ability of a market-sensitive program to stimulate industrial growth, achieve unit cost reductions and shift the market to include a large grid-tied share. Residential respondents to surveys report high costs as their primary barrier to installing photovoltaic systems and state a strong preference for capital incentives to reduce their investment costs. The Canadian government needs a market stimulation policy if it is to join those countries where a decentralized photovoltaic generation system strengthens the electricity supply system. A balanced solar energy market stimulation program is proposed that combines a feed-in tariff with a declining capital incentive. (author)

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2012-11-15

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

  13. Estimation of the demand for electricity

    NARCIS (Netherlands)

    van Helden, GJ; Leeflang, PSH; Sterken, E

    The residential consumer of electricity is often faced with a price schedule, where the price per kWh differs according to the amountof electricity consumed. 1 1In this study, the relations between the price per kWh are not considered as a function of the time-of-use(TOU). The determination of TOU

  14. What’s Political about Solar Electric Technology? The User’s Perspective

    Directory of Open Access Journals (Sweden)

    Chelsea Schelly

    2015-11-01

    Full Text Available Scholars in science and technology studies have debated the various ways in which technologies are (or are not political. Here, I examine how users themselves understand and articulate the politics of a specific technology—residential solar electric technology—and how understandings of politics interact with motivations to adopt. Based on interviews with 48 individuals in 36 households across the state of Wisconsin who have adopted residential solar electric technology, I consider the user’s perspective on the question: “What’s political about residential solar electric technology use?” These users were asked about the politics of this technology and how their understanding of the technology’s politics shaped their own motivation for adoption. These solar electric technology adopters saw solar electric technology as both imbued with political character based on the current national political scene and as inherently, innately political. They described how solar electric technology interacts with the politics of environmentalism, challenges “politics-as-usual” and can bring about decentralization and redistribution of wealth. In short, to the users of solar electric technology, this technological artifact is, indeed, political; it both interacts with, and offers an alternative to, current American political structures. Further, their perspectives on the politics of solar technology shaped their understandings of motivations for and limitations to adoption of this alternative technology.

  15. Greenhouse Gas Emissions from Excavation on Residential Construction Sites

    Directory of Open Access Journals (Sweden)

    Perry Forsythe

    2014-12-01

    Full Text Available Despite considerable research concerning the manifestation of greenhouse gases in the usage of buildings, little has been done concerning emissions arising from the construction process itself. This paper specifically examines emissions arising from cut and fill excavation on residential construction sites. Even though such excavation is often seen as being economical in terms of providing a flat base for concrete raft slab construction, the environmental consequences of this approach need to be considered more fully in terms of impact on the environment. This is particularly important when steeply sloping sites are involved and for different soil types. The paper undertakes a study that quantitatively assesses the cumulative greenhouse gas emissions caused by cut and fill excavation on 52 residential projects in Australia for a range of slope and soil types. The paper presents results from the study and concludes that greenhouse gas emissions increase as site slope increases; the building footprint area (as distinct from Gross Floor Area, exposes the need to reduce the area of the building to reduce greenhouse gas emissions; excavation of rock soils creates higher emissions than other soil types; and cut and fill excavation on steeply slope sites increase emissions. Potential alternative construction includes suspended floor construction systems which involve less excavation.

  16. Greenhouse Gas Emissions from Excavation on Residential Construction Sites

    Directory of Open Access Journals (Sweden)

    Perry Forsythe

    2014-12-01

    Full Text Available Despite considerable research concerning the manifestation of greenhouse gases in the usage of buildings, little has been done concerning emissions arising from the construction process itself. This paper specifically examines emissions arising from cut and fill excavation on residential construction sites. Even though such excavation is often seen as being economical in terms of providing a flat base for concrete raft slab construction, the environmental consequences of this approach need to be considered more fully in terms of impact on the environment. This is particularly important when steeply sloping sites are involved and for different soil types. The paper undertakes a study that quantitatively assesses the cumulative greenhouse gas emissions caused by cut and fill excavation on 52 residential projects in Australia for a range of slope and soil types. The paper presents results from the study and concludes that greenhouse gas emissions increase as site slope increases; the building footprint area (as distinct from Gross Floor Area, exposes the need to reduce the area of the building to reduce greenhouse gas emissions; excavation of rock soils creates higher emissions than other soil types; and cut and fill excavation on steeply slope sites increase emissions. Potential alternative construction includes suspended floor construction systems which involve less excavation. 

  17. Configuring a fuel cell based residential combined heat and power system

    Science.gov (United States)

    Ahmed, Shabbir; Papadias, Dionissios D.; Ahluwalia, Rajesh K.

    2013-11-01

    The design and performance of a fuel cell based residential combined heat and power (CHP) system operating on natural gas has been analyzed. The natural gas is first converted to a hydrogen-rich reformate in a steam reformer based fuel processor, and the hydrogen is then electrochemically oxidized in a low temperature polymer electrolyte fuel cell to generate electric power. The heat generated in the fuel cell and the available heat in the exhaust gas is recovered to meet residential needs for hot water and space heating. Two fuel processor configurations have been studied. One of the configurations was explored to quantify the effects of design and operating parameters, which include pressure, temperature, and steam-to-carbon ratio in the fuel processor, and fuel utilization in the fuel cell. The second configuration applied the lessons from the study of the first configuration to increase the CHP efficiency. Results from the two configurations allow a quantitative comparison of the design alternatives. The analyses showed that these systems can operate at electrical efficiencies of ∼46% and combined heat and power efficiencies of ∼90%.

  18. Advisory report on licence requirements for the marketing of natural gas and electricity to residential and small commercial consumers

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-10-06

    The proposed Ontario Energy Board Act, 1998 which forms part of Bill 35, would make it possible for the Board to make regulations prescribing license requirements and conditions for sellers of natural gas and electricity to residential and small commercial users. Interested stakeholders were invited to provide their input on the proposed Act. A total of 23 parties responded by submitting their comments to the Ontario Energy Board. This document presents the concerns of several parties regarding various provisions of the proposed regulatory regime affecting energy marketing. Comments on the definition of `low volume customer`, on classes of gas marketers, need and requirements for gas marketer`s licence, the form and posting of security bonds by prospective gas marketers, exemptions from licensing, conditions of licensing, code of conduct for energy marketers, disclosure of customer information, were some of the proposed provisions that elicited comments.

  19. 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.

  20. Electric sales and revenue 1991

    International Nuclear Information System (INIS)

    1993-04-01

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

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

    International Nuclear Information System (INIS)

    2010-09-01

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

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

    International Nuclear Information System (INIS)

    2011-09-01

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

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

    International Nuclear Information System (INIS)

    2009-09-01

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

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

    International Nuclear Information System (INIS)

    2008-12-01

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

  5. A Case Study in Market Transformation for Residential Energy Efficiency Programs

    Energy Technology Data Exchange (ETDEWEB)

    Building Technologies Office

    2017-09-01

    This case study describes how the Midwest Energy Efficiency Alliance (MEEA) partnered with gas and electric utilities in Iowa to establish the Iowa residential heating, ventilation, and air conditioning System Adjustment and Verified Efficiency (HVAC SAVE) program, taking it to scale improving the performance and energy efficiency of HVAC systems, growing businesses, and gaining consumer trust.

  6. Transactive Home Energy Management Systems: The Impact of Their Proliferation on the Electric Grid

    Energy Technology Data Exchange (ETDEWEB)

    Pratt, Annabelle; Krishnamurthy, Dheepak; Ruth, Mark; Wu, Hongyu; Lunacek, Monte; Vaynshenk, Paul

    2016-12-01

    Approximately 100 million singlefamily homes in the United States account for 36% of the electricity load, and often they determine the peak system load, especially on hot summer days when residential air-conditioning use is high. Traditional building power profiles are changing. Currently, there is an increased use of energy-efficient building materials and designs, which decreases building loads. In addition, there is an increased adoption of rooftop solar photovoltaic (PV), which leads to bidirectional power flow and significant power ramps as PV output decreases in the late afternoon. Building power profiles are likely to change even more as residential energy storage products proliferate. Therefore, a better understanding of residential electricity demand is key to addressing the envisioned transition of the electric power system from its traditional structure to one that is transactive.

  7. Variability of Battery Wear in Light Duty Plug-In Electric Vehicles Subject to Ambient Temperature, Battery Size, and Consumer Usage: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Wood, E.; Neubauer, J.; Brooker, A. D.; Gonder, J.; Smith, K. A.

    2012-08-01

    Battery wear in plug-in electric vehicles (PEVs) is a complex function of ambient temperature, battery size, and disparate usage. Simulations capturing varying ambient temperature profiles, battery sizes, and driving patterns are of great value to battery and vehicle manufacturers. A predictive battery wear model developed by the National Renewable Energy Laboratory captures the effects of multiple cycling and storage conditions in a representative lithium chemistry. The sensitivity of battery wear rates to ambient conditions, maximum allowable depth-of-discharge, and vehicle miles travelled is explored for two midsize vehicles: a battery electric vehicle (BEV) with a nominal range of 75 mi (121 km) and a plug-in hybrid electric vehicle (PHEV) with a nominal charge-depleting range of 40 mi (64 km). Driving distance distributions represent the variability of vehicle use, both vehicle-to-vehicle and day-to-day. Battery wear over an 8-year period was dominated by ambient conditions for the BEV with capacity fade ranging from 19% to 32% while the PHEV was most sensitive to maximum allowable depth-of-discharge with capacity fade ranging from 16% to 24%. The BEV and PHEV were comparable in terms of petroleum displacement potential after 8 years of service, due to the BEV?s limited utility for accomplishing long trips.

  8. 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.

  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. 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)

  11. Modeling and simulation of a residential micro-CHP system based on HT-PEMFC technology

    DEFF Research Database (Denmark)

    Arsalis, Alexandros; Nielsen, Mads Pagh; Kær, Søren Knudsen

    2009-01-01

    Combined-heat-and-power (CHP) technology is a well known and proved method to produce simultaneously power and heat at high efficiencies. This can be further improved by the introduction of a novel micro-CHP residential system based on High Temperature-Proton Exchange Membrane Fuel Cell (HT-PEMFC......). The HT-PEMFC (based on PBI-membrane technology) operates at temperatures near 200oC, and this can be an ideal match for cogeneration residential systems. The proposed system provides electric power, hot water, and space heating for a typical household (1-5 kWe, 5-10 kWth). The micro-CHP system...

  12. an assessment of billing electricity consumers via analogue meters

    African Journals Online (AJOL)

    DR. AMINU

    Keywords: Electricity Distribution, Consumers, Analogue Meter, Billing, Nigeria. INTRODUCTION. Electricity ... the energy usage of a typical electricity consumer in one month is several ..... improve on distribution network. In addition it should.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1993-08-01

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

  14. The effect of merger and consolidation activities on the efficiency of electricity distribution regions in Turkey

    International Nuclear Information System (INIS)

    Çelen, Aydın

    2013-01-01

    In this study, we analyze the efficiency performances of Turkish electricity distribution companies throughout 2002 and 2009 in the stochastic frontier analysis (SFA) framework. Our more specific goal is to measure how the efficiency performances of the electricity distribution regions were affected by the mergers between distribution regions occurred in 2005. The results demonstrate that efficiencies of the companies serving to mostly the residential customers are higher than those of other companies. However, the positive impact of residential customers on the efficiencies decreased significantly following the mergers between electricity distribution companies. In contrast, the positive impact of higher customer density on efficiency also decreased, but insignificantly following the restructuring activities in the market in 2005. Our study also witnesses that the positive impact of the mergers on the efficiencies decreases as the proportion of sales to residential customers in regions increases. In contrast, the restructuring activities of 2005 increased equally the efficiencies of the companies serving in the regions with higher and lower customer densities. - Highlights: • We analyze efficiency performances of Turkish electricity distribution companies. • The efficiencies of companies serving to mostly residential customers are higher. • Positive impact of residential customers on the efficiencies dropped after mergers. • Positive impact of customer density also decreased, but insignificantly. • Positive impact of mergers on efficiency decreases as sales to residents increase

  15. Energy Use of Televisions and Videocassette Recorders in the U.S.

    OpenAIRE

    Rosen, Karen

    1999-01-01

    This study was undertaken to estimate current energy use of residential televisions (TVs) and videocassette recorders (VCRs) in the United States. Ownership and usage statistics were taken from media research, while average power values were derived from power measurements of nearly 500 units. Results indicate that TVs and VCRs comprise 3.6% of U.S. residential electricity consumption. In homes with at least one TV, the average annual household TV energy consumption is 310 kWh, 23% of which i...

  16. The energy-related services are the major sales promotion. Customized electricity and district heat supply technology and services for the newly developed residential area Boerkhauser Feld at Solingen-Aufderhoehe; Die Dienstleistung bringt den (Verkaufs-)Erfolg. Strom- und Waermeversorgung fuer Wohngebiet Boerkhauser Feld in Solingen-Aufderhoehe

    Energy Technology Data Exchange (ETDEWEB)

    Anon.

    2001-06-01

    The firm COMUNA-metall, Herford, is the contractor and service provider for installation and operation of the electricity and district heat supply systems based on a modular cogeneration plant (CHP system). The residential area will eventually encompass about 450 residential units, all buildings are low-energy houses. The article explains the systems and gives an initial performance report covering 100 existing residential units. (orig./CB) [German] Die Firma COMUNA-metall, Herford, hat als Dienstleister die Erstellung und den Betrieb einer Strom- und Nahwaermeversorgung mit Kraft-Waerme-Kopplung fuer das Wohngebiet uebernommen, das nach Fertigstellung ca. 450 Wohneinheiten in Niedrigenergiebauweise umfassen wird. Der Beitrag schildert die technischen Einrichtungen und eine erste Leistungsbilanz im Bauabschnitt mit 100 Wohneinheiten. (orig./CB)

  17. Break-Even Cost for Residential Solar Water Heating in the United States: Key Drivers and Sensitivities

    Energy Technology Data Exchange (ETDEWEB)

    Cassard, H.; Denholm, P.; Ong, S.

    2011-02-01

    This paper examines the break-even cost for residential rooftop solar water heating (SWH) technology, defined as the point where the cost of the energy saved with a SWH system equals the cost of a conventional heating fuel purchased from the grid (either electricity or natural gas). We examine the break-even cost for the largest 1,000 electric and natural gas utilities serving residential customers in the United States as of 2008. Currently, the break-even cost of SWH in the United States varies by more than a factor of five for both electricity and natural gas, despite a much smaller variation in the amount of energy saved by the systems (a factor of approximately one and a half). The break-even price for natural gas is lower than that for electricity due to a lower fuel cost. We also consider the relationship between SWH price and solar fraction and examine the key drivers behind break-even costs. Overall, the key drivers of the break-even cost of SWH are a combination of fuel price, local incentives, and technical factors including the solar resource location, system size, and hot water draw.

  18. Home electrical system safety in Italy

    Energy Technology Data Exchange (ETDEWEB)

    Auditor,

    1990-06-01

    Italy, amongst the industrialized countries, has the highest mortality rate due to accidents associated with the improper use or maintenance of home electrical systems. The increasing use of domestic electrical appliances has raised the risk of accidents, especially in homes equipped with out-dated, low-capacity electrical plants and worn wiring. Within this context, this paper reports on the results of survey to establish the worthiness and type of electrical systems in use in a sample of 1,000 residential buildings. The paper then assesses the efficacy of recent normatives designed to increase the safety and efficiency of home electrical installations.

  19. 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

  20. The Impact of Subsidies on the Prevalence of Climate-Sensitive Residential Buildings in Malaysia

    Directory of Open Access Journals (Sweden)

    David T. Tan

    2017-12-01

    Full Text Available Dependence on air-conditioning (AC for residential cooling and ventilation is a health and sustainability challenge. In hot temperatures, climate-sensitive buildings (CSB can complement and/or substitute for AC usage in achieving thermal comfort. Many countries facing such conditions—particularly in tropical climates—are developing quickly, with rising populations and income creating demand for new housing and AC. This presents a window for adoption of CSB but could also result in long term lock-in of AC-dependent buildings. Here, a simple system dynamics model is used to explore the potential and limitations of subsidies to affect futures of housing stock and night-time AC usage in Malaysia. The effectiveness of subsidies in achieving high uptake of CSB and resulting health benefits is highly dependent on homebuyer willingness to pay (WTP. A detailed understanding of WTP in the Malaysian context and factors that can shift WTP is necessary to determine if CSB subsidies can be a good policy mechanism for achieving CSB uptake.

  1. Information Processing and Creative Thinking Abilities of Residential and Non-Residential School Children

    Directory of Open Access Journals (Sweden)

    Atasi Mohanty

    2015-10-01

    Full Text Available This study attempts to assess and compare the residential and non-residential schoolchildren in information-processing skills and creative thinking abilities. A sample of 80 children from Classes 5 and 7 were selected from two types of schools, residential/ashram (02 and non-residential/formal schools (02 in Bolpur subdivision of West Bengal in India where the medium of instruction is Bengali language/mother-tongue. All the children were individually administered the PASS (Planning, Attention, Simultaneous, Successive, Stroop, Matching Familiar Figure Test (MFFT-20, and creative thinking tasks. The residential school children were found to perform better both in information processing and creative thinking tasks. The developmental trend could not be clearly observed due to small sample size, but with increasing age, children were using better processing strategies. Due to ashram environment, creative pedagogy, and various co-curricular activities, the residential school children were found to be more creative than their formal school counterparts. Moreover, some significant positive correlations were found among information processing skills and creative thinking dimensions.

  2. Optimal joint scheduling of electrical and thermal appliances in a smart home environment

    International Nuclear Information System (INIS)

    Shirazi, Elham; Zakariazadeh, Alireza; Jadid, Shahram

    2015-01-01

    Highlights: • Thermal appliances are scheduled based on desired temperature and energy prices. • A discomfort index has been introduced within the home energy scheduling model. • Appliances are scheduled based on activity probability and desired options. • Starting probability depends on the social random factor and consumption behavior. - Abstract: With the development of home area network, residents have the opportunity to schedule their power usage in the home by themselves aiming at reducing electricity expenses. Moreover, as renewable energy sources are deployed in home, a home energy management system needs to consider both energy consumption and generation simultaneously to minimize the energy cost. In this paper, a smart home energy management model has been presented in which electrical and thermal appliances are jointly scheduled. The proposed method aims at minimizing the electricity cost of a residential customer by scheduling various type of appliances considering the residents consumption behavior, seasonal probability, social random factor, discomfort index and appliances starting probability functions. In this model, the home central controller receives the electricity price information, environmental factors data as well as the resident desired options in order to optimally schedule appliances including electrical and thermal. The scheduling approach is tested on a typical home including variety of home appliances, a small wind turbine, photovoltaic panel, combined heat and power unit, boiler and electrical and thermal storages over a 24-h period. The results show that the scheduling of different appliances can be reached simultaneously by using the proposed formulation. Moreover, simulation results evidenced that the proposed home energy management model exhibits a lower cost and, therefore, is more economical.

  3. Low-frequency transient electric and magnetic fields coupling to child body

    International Nuclear Information System (INIS)

    Ozen, S.

    2008-01-01

    Much of the research related to residential electric and magnetic field exposure focuses on cancer risk for children. But until now only little knowledge about coupling of external transient electric and magnetic fields with the child's body at low frequency transients existed. In this study, current densities, in the frequency range from 50 Hz up to 100 kHz, induced by external electric and magnetic fields to child and adult human body, were investigated, as in residential areas, electric and magnetic fields become denser in this frequency band. For the calculations of induced fields and current density, the ellipsoidal body models are used. Current density induced by the external magnetic field (1 μT) and external electric field (1 V/m) is estimated. The results of this study show that the transient electric and magnetic fields would induce higher current density in the child body than power frequency fields with similar field strength. (authors)

  4. MRI usage in a pediatric emergency department: an analysis of usage and usage trends over 5 years

    Energy Technology Data Exchange (ETDEWEB)

    Scheinfeld, Meir H. [Montefiore Medical Center, Albert Einstein College of Medicine, Department of Radiology, Division of Emergency Radiology, Bronx, NY (United States); Moon, Jee-Young; Wang, Dan [Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, NY (United States); Fagan, Michele J. [Montefiore Medical Center, Albert Einstein College of Medicine, Department of Pediatrics, Division of Emergency Medicine, Bronx, NY (United States); Davoudzadeh, Reubin [Montefiore Medical Center, Department of Radiology, Bronx, NY (United States); Taragin, Benjamin H. [Montefiore Medical Center, Albert Einstein College of Medicine, Department of Radiology, Division of Pediatric Radiology, Bronx, NY (United States)

    2017-03-15

    Magnetic resonance imaging (MRI) usage has anecdotally increased due to the principles of ALARA and the desire to Image Gently. Aside from a single abstract in the emergency medicine literature, pediatric emergency department MRI usage has not been described. Our objective was to determine whether MRI use is indeed increasing at a high-volume urban pediatric emergency department with 24/7 MRI availability. Also, we sought to determine which exams, time periods and demographics influenced the trend. Institutional Review Board exemption was obtained. Emergency department patient visit and exam data were obtained from the hospital database for the 2011-2015 time period. MRI usage data were normalized using emergency department patient visit data to determine usage rates. The z-test was used to compare MRI use by gender. The chi-square test was used to test for trends in MRI usage during the study period and in patient age. MRI usage for each hour and each weekday were tabulated to determine peak and trough usage times. MRI usage rate per emergency department patient visit was 0.36%. Headache, pain and rule-out appendicitis were the most common indications for neuroradiology, musculoskeletal and trunk exams, respectively. Usage in female patients was significantly greater than in males (0.42% vs. 0.29%, respectively, P<0.001). Usage significantly increased during the 5-year period (P<0.001). Use significantly increased from age 3 to 17 (0.011% to 1.1%, respectively, P<0.001). Sixty percent of exams were performed after-hours, the highest volume during the 10 p.m. hour and lowest between 4 a.m. and 9 a.m. MRI use was highest on Thursdays and lowest on Sundays (MRI on 0.45% and 0.22% of patients, respectively). MRI use in children increased during the study period, most notably in females, on weekdays and after-hours. (orig.)

  5. 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

  6. 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.

  7. Household electricity and gas consumption for heating homes

    International Nuclear Information System (INIS)

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

    2011-01-01

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

  8. Status and challenges of residential and industrial non-intrusive load monitoring

    DEFF Research Database (Denmark)

    Adabi, Ali; Mantey, Patrick; Holmegaard, Emil

    2015-01-01

    in recent years due to improvement in algorithms and methodologies. Currently, the important challenges facing residential NILM are inaccessibility of electricity meter high sampling data, and lack of reliable high resolution datasets. For industrial NILM the identification is more challenging due......Non-Intrusive Load Monitoring (NILM) is the process of identification of loads from an aggregate power interface using disaggregation algorithms. This paper identifies the current status, methodologies and challenges of NILM in residential and industrial settings. NILM has advanced substantially...... to increased number of loads and the variability of equipment type, temporal patterns and industrial secrecy. From our examination of data and its use in NILM, we observe that the number of devices that can be recognized and the training period required to achiever recognition is not only a function...

  9. 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...

  10. Exploring the impact of network tariffs on household electricity expenditures using load profiles and socio-economic characteristics

    Science.gov (United States)

    Azarova, Valeriya; Engel, Dominik; Ferner, Cornelia; Kollmann, Andrea; Reichl, Johannes

    2018-04-01

    Growing self-generation and storage are expected to cause significant changes in residential electricity utilization patterns. Commonly applied volumetric network tariffs may induce imbalance between different groups of households and their respective contribution to recovering the operating costs of the grid. Understanding consumer behaviour and appliance usage together with socio-economic factors can help regulatory authorities to adapt network tariffs to new circumstances in a fair way. Here, we assess the effects of 11 network tariff scenarios on household budgets using real load profiles from 765 households. Thus we explore the possibly disruptive impact of applying peak-load-based tariffs on the budgets of households when they have been mainly charged for consumed volumes before. Our analysis estimates the change in household network expenditure for different combinations of energy, peak and fixed charges, and can help to design tariffs that recover the costs needed for the sustainable operation of the grid.

  11. Energy and the environment - the case for electricity

    International Nuclear Information System (INIS)

    Anon.

    1992-01-01

    The case is argued that in certain situations the use of electricity as opposed to natural gas for residential and industrial applications can be environmentally friendly. Topics covered include carbon dioxide and equivalent greenhouse gas emissions at the point of use from a variety of energy sources, the average mix of UK electricity generation both now and in the future and alternative vehicle fuels including electric vehicles. (UK)

  12. Initial transformer sizing for single-phase residential load

    International Nuclear Information System (INIS)

    Schneider, K.C.; Hoad, R.F.

    1992-01-01

    The purchase of distribution transformers represents a significant capital investment per year for an electric utility. Choosing the correct thermal and economic size transformer can help control this investment. This paper describes a method for determining the correct economic size of distribution transformers using end-use appliance load profiles and the ANSI/IEEE Standard C57.91-1981 thermal model. Although applied only to single family and multifamily residential load in this paper, the method can be extended to other types of load such as commercial or industrial

  13. Electrical energy prices and losses respect to Turkish social-economic situations

    International Nuclear Information System (INIS)

    Berktay, Ali; Demirbas, Ayhan; Kocak, Saim; Nas, Bilgehan

    2004-01-01

    Electricity is a basic part of nature and it is one of the most widely used forms of energy. Electricity, which is a secondary energy source, can be generated from the conversion of other sources of energy, such as coal, natural gas, oil, nuclear power and renewable resources. Electricity prices have a deep impact on the competitiveness of a country's industry. Some electricity losses may occur during the process of transmission and distribution from generators to consumers. Generally there are two types of losses, one is technical losses which cover transmission losses and the other is non-technical losses including distribution losses and the incidence of illegal usage. The aim of this paper is to present the electricity usage and prices and is also to focus on the electricity losses occur both technical and non-technical means. An 'electricity losses map' was produced to illustrate the electricity losses. For this purpose, a vector based Geographic Information System (GIS) software package Arc GIS 8.3 was employed to map the data. The rate of losses within the electricity provided to the national network was about 19% in Turkey. The incidence of illegal usage and hence the rate of non-technical losses could be reduced dramatically through establishing regular action. (Author)

  14. VOLTTRON-Based System for Providing Ancillary Services with Residential Building Loads

    Energy Technology Data Exchange (ETDEWEB)

    Jin, Xin

    2016-07-01

    Ancillary services entail controlled modulation of building equipment to maintain a stable balance of generation and load in the power system. Ancillary services include frequency regulation and contingency reserves, whose acting time ranges from several seconds to several minutes. Many pilot studies have been implemented to use industrial loads to provide ancillary services, and some have explored services from commercial building loads or electric vehicle charging loads. Residential loads, such as space conditioning and water heating, represent a largely untapped resource for providing ancillary services. The residential building sector accounts for a significant fraction of the total electricity use in the United States. Many loads in residential buildings are flexible and could potentially be curtailed or shifted at the request of the grid. However, there are many barriers that prevent residential loads being widely used for ancillary services. One of the major technical barriers is the lack of communication capabilities between end-use devices and the grid. End-use devices need to be able to receive the automatic generation control (AGC) signal from the grid operator and supply certain types of telemetry to verify response. With the advance of consumer electronics, communication-enabled, or 'connected,' residential equipment has emerged to overcome the communication barrier. However, these end-use devices have introduced a new interoperability challenge due to the existence of numerous standards and communication protocols among different end devices. In this paper, we present a VOLTTRON-based system that overcomes these technical challenges and provides ancillary services with residential loads. VOLTTRON is an open-source control and sensing platform for building energy management, facilitating interoperability solutions for end devices. We have developed drivers to communicate and control different types of end devices through standard

  15. Does Electricity Drive the Development of Manufacturing Sector in Malaysia?

    Energy Technology Data Exchange (ETDEWEB)

    Husaini, Dzul Hadzwan [Faculty of Economics and Business, Universiti Malaysia Sarawak, Sarawak (Malaysia); Lean, Hooi Hooi, E-mail: hooilean@usm.my [Economics Program, School of Social Sciences, Universiti Sains Malaysia, Penang (Malaysia)

    2015-04-22

    This paper investigates the relationship between electricity consumption, output, and price in the manufacturing sector in Malaysia. We find that electricity consumption, output, and price are cointegrated in the long run. In addition, it has been found that the relationship between electricity consumption and output is positive. In the long run, we find a unidirectional causality from manufacturing output to electricity consumption. This result indicates that the development of manufacturing sector stimulates greater demand for electricity. Government needs to make sure that the planning of electricity supply in the future is in line with the economic development planning to avoid shortage in electricity supply. In the short run, a unidirectional relationship runs from electricity consumption to output is found. A decrease of energy usage in production might reduce the output growth in short run. Hence, we suggest improving the efficiency of electricity usage and some cost-effective sources of energy.

  16. Does Electricity Drive the Development of Manufacturing Sector in Malaysia?

    International Nuclear Information System (INIS)

    Husaini, Dzul Hadzwan; Lean, Hooi Hooi

    2015-01-01

    This paper investigates the relationship between electricity consumption, output, and price in the manufacturing sector in Malaysia. We find that electricity consumption, output, and price are cointegrated in the long run. In addition, it has been found that the relationship between electricity consumption and output is positive. In the long run, we find a unidirectional causality from manufacturing output to electricity consumption. This result indicates that the development of manufacturing sector stimulates greater demand for electricity. Government needs to make sure that the planning of electricity supply in the future is in line with the economic development planning to avoid shortage in electricity supply. In the short run, a unidirectional relationship runs from electricity consumption to output is found. A decrease of energy usage in production might reduce the output growth in short run. Hence, we suggest improving the efficiency of electricity usage and some cost-effective sources of energy.

  17. 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

  18. The Influence of Place Making’s Attributes on the Resident’s Usage and Satisfaction in High-Rise Residential Community: A Case Study

    Directory of Open Access Journals (Sweden)

    Aflaki Ardalan

    2016-01-01

    Full Text Available The vitality and viability of open spaces in urban neighborhoods, particularly in high-density residential areas with limited buildable land, have become extremely complex phenomenon. Researchers and designers are seeking the standard of designed environment to successfully meet the human needs and desires. In order to reach this goal, limited studies have been implemented to bridge the gap between research and design and consequently improve the physical and social qualities of open spaces. This paper examines the two specific features of open space accessibility, social interactions - which contribute significantly to both the vitality and viability with a view to provide an understanding of the relative importance of these elements from users’ perceptions and satisfaction. The methods involve quantitative research with questionnaire-based survey, and case study to evaluate residents’ perceptions. The research scope is a high-density residential condominium in Kuala Lumpur where the rapid transformation of urban elements in city center has negative impacts on basic qualities of open spaces. The result is a framework for understanding the relative priority of the different elements (variables for users which vary depending on the location of the residential block they live in; in particular its proximity to the open space. The study concludes with recommendations for how the most valuable elements can be better harnessed in order to promote the satisfaction with open spaces.

  19. 76 FR 18105 - Energy Conservation Program for Consumer Products: Test Procedures for Residential Central Air...

    Science.gov (United States)

    2011-04-01

    ... the lab-added transformer. Id. Under this proposal, the instrument used to measure the electrical... the low-voltage transformer used when testing coil-only residential central air conditioners and heat... the Low-Voltage Transformer Used When Testing Coil- Only Central Air Conditioners and Heat Pumps and...

  20. A methodology for energy performance classification of residential building stock of Hamirpur

    Directory of Open Access Journals (Sweden)

    Aniket Sharma

    2017-12-01

    Full Text Available In India, there are various codes, standards, guidelines and rating systems launched to make energy intensive and large sized buildings energy efficient whereas independent residential buildings are not covered even though they exist most in numbers of total housing stock. This paper presents a case study methodology for energy performance assessment of existing residential stock of Hamirpur that can be used to develop suitable energy efficiency regulations. The paper discusses the trend of residential development in Hamirpur followed by classification based on usage, condition, predominant material use, ownership size and number of rooms, source of lighting, assets available, number of storey and plot sizes using primary and secondary data. It results in identification of predominant materials used and other characteristics in each of urban and rural area. Further cradle to site embodied energy index of various dominant building materials and their market available alternative materials is calculated from secondary literature and by calculating transportation energy. One representative existing building is selected in each of urban and rural area and their energy performance is evaluated for material embodied energy and operational energy using simulation. Further alternatives are developed based on other dominant materials in each area and evaluated for change in embodied and operational energy. This paper identifies the energy performance of representative houses for both areas and in no way advocates the preference of one type over another. The paper demonstrates a methodology by which energy performance assessment of houses shall be done and also highlights further research.

  1. Residential gas-fired sorption heat pumps. Test and technology evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Naeslund, M.

    2008-12-15

    Heat pumps may be the next step in gas-fired residential space heating. Together with solar energy it is an option to combine natural gas and renewable energy. Heat pumps for residential space heating are likely to be based on the absorption or adsorption process, i.e. sorption heat pumps. Manufacturers claim that the efficiency could reach 140-160%. The annual efficiency will be lower but it is clear that gas-fired heat pumps can involve an efficiency and technology step equal to the transition from non-condensing gas boilers with atmospheric burners to condensing boilers. This report contains a review of the current sorption gas-fired heat pumps for residential space heating and also the visible development trends. A prototype heat pump has been laboratory tested. Field test results from Germany and the Netherlands are also used for a technology evaluation. The tested heat pump unit combines a small heat pump and a supplementary condensing gas boiler. Field tests show an average annual efficiency of 120% for this prototype design. The manufacturer abandoned the tested design during the project period and the current development concentrates on a heat pump design only comprising the heat pump, although larger. The heat pump development at three manufacturers in Germany indicates a commercial stage around 2010-2011. A fairly high electricity consumption compared to traditional condensing boilers was observed in the tested heat pump. Based on current prices for natural gas and electricity the cost savings were estimated to 12% and 27% for heat pumps with 120% and 150% annual efficiency respectively. There is currently no widespread performance testing procedure useful for annual efficiency calculations of gas-fired heat pumps. The situation seems to be clearer for electric compression heat pumps regarding proposed testing and calculation procedures. A German environmental label exists and gasfired sorption heat pumps are also slightly treated in the Eco-design work

  2. 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.

  3. Electric power of residential photovoltaic power system; Jutakuyo taiyoko hatsuden system no hatsudenryo

    Energy Technology Data Exchange (ETDEWEB)

    Asano, K.; Kawamura, H.; Yamanaka, S.; Kawamura, H.; Ono, H.; Hayashi, K.; Naganawa, H. [Meijo University, Nagoya (Japan); Asai, H.

    1996-10-27

    Measurement was done on the annual power generation of a residential photovoltaic power system that was most suitable for the present situation in utilizing solar energy; and an examination was made on the basis of the data of a module in which an optimal operation load control was separately installed in order to operate the system more effectively. As a result, it was found that the introduction of a 3kW class system was currently most desirable as a residential photovoltaic power system, and that the problem of the optimal operation load control was crucial for the more efficient power generation. The resistance value of the optimal operation load was stable between 6 and 8 ohm in the daytime in fine weather. However, it was observed that, where no sufficient insolation was expected, the optimal operation load was ten times as much as in fine weather, being easily influenced by the environmental elements. In addition, it was revealed that, if the operation load was fixed at a specific value (6 ohm) in a clear day, the power generation was only about 85% compared with the case of controlling the optimal operation load. This figure was obtained under comparatively favorable conditions, however. 8 refs., 7 figs.

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

    International Nuclear Information System (INIS)

    Jin, Sang-Hyeon

    2007-01-01

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

  5. Dynamic linear modeling of monthly electricity demand in Japan: Time variation of electricity conservation effect.

    Science.gov (United States)

    Honjo, Keita; Shiraki, Hiroto; Ashina, Shuichi

    2018-01-01

    After the severe nuclear disaster in Fukushima, which was triggered by the Great East Japan earthquake in March 2011, nuclear power plants in Japan were temporarily shut down for mandatory inspections. To prevent large-scale blackouts, the Japanese government requested companies and households to reduce electricity consumption in summer and winter. It is reported that the domestic electricity demand had a structural decrease because of the electricity conservation effect (ECE). However, quantitative analysis of the ECE is not sufficient, and especially time variation of the ECE remains unclear. Understanding the ECE is important because Japan's NDC (nationally determined contribution) assumes the reduction of CO2 emissions through aggressive energy conservation. In this study, we develop a time series model of monthly electricity demand in Japan and estimate time variation of the ECE. Moreover, we evaluate the impact of electricity conservation on CO2 emissions from power plants. The dynamic linear model is used to separate the ECE from the effects of other irrelevant factors (e.g. air temperature, economic production, and electricity price). Our result clearly shows that consumers' electricity conservation behavior after the earthquake was not temporary but became established as a habit. Between March 2011 and March 2016, the ECE on industrial electricity demand ranged from 3.9% to 5.4%, and the ECE on residential electricity demand ranged from 1.6% to 7.6%. The ECE on the total electricity demand was estimated at 3.2%-6.0%. We found a seasonal pattern that the residential ECE in summer is higher than that in winter. The emissions increase from the shutdown of nuclear power plants was mitigated by electricity conservation. The emissions reduction effect was estimated at 0.82 MtCO2-2.26 MtCO2 (-4.5% on average compared to the zero-ECE case). The time-varying ECE is necessary for predicting Japan's electricity demand and CO2 emissions after the earthquake.

  6. Dynamic linear modeling of monthly electricity demand in Japan: Time variation of electricity conservation effect.

    Directory of Open Access Journals (Sweden)

    Keita Honjo

    Full Text Available After the severe nuclear disaster in Fukushima, which was triggered by the Great East Japan earthquake in March 2011, nuclear power plants in Japan were temporarily shut down for mandatory inspections. To prevent large-scale blackouts, the Japanese government requested companies and households to reduce electricity consumption in summer and winter. It is reported that the domestic electricity demand had a structural decrease because of the electricity conservation effect (ECE. However, quantitative analysis of the ECE is not sufficient, and especially time variation of the ECE remains unclear. Understanding the ECE is important because Japan's NDC (nationally determined contribution assumes the reduction of CO2 emissions through aggressive energy conservation. In this study, we develop a time series model of monthly electricity demand in Japan and estimate time variation of the ECE. Moreover, we evaluate the impact of electricity conservation on CO2 emissions from power plants. The dynamic linear model is used to separate the ECE from the effects of other irrelevant factors (e.g. air temperature, economic production, and electricity price. Our result clearly shows that consumers' electricity conservation behavior after the earthquake was not temporary but became established as a habit. Between March 2011 and March 2016, the ECE on industrial electricity demand ranged from 3.9% to 5.4%, and the ECE on residential electricity demand ranged from 1.6% to 7.6%. The ECE on the total electricity demand was estimated at 3.2%-6.0%. We found a seasonal pattern that the residential ECE in summer is higher than that in winter. The emissions increase from the shutdown of nuclear power plants was mitigated by electricity conservation. The emissions reduction effect was estimated at 0.82 MtCO2-2.26 MtCO2 (-4.5% on average compared to the zero-ECE case. The time-varying ECE is necessary for predicting Japan's electricity demand and CO2 emissions after the

  7. Dynamic linear modeling of monthly electricity demand in Japan: Time variation of electricity conservation effect

    Science.gov (United States)

    Shiraki, Hiroto; Ashina, Shuichi

    2018-01-01

    After the severe nuclear disaster in Fukushima, which was triggered by the Great East Japan earthquake in March 2011, nuclear power plants in Japan were temporarily shut down for mandatory inspections. To prevent large-scale blackouts, the Japanese government requested companies and households to reduce electricity consumption in summer and winter. It is reported that the domestic electricity demand had a structural decrease because of the electricity conservation effect (ECE). However, quantitative analysis of the ECE is not sufficient, and especially time variation of the ECE remains unclear. Understanding the ECE is important because Japan’s NDC (nationally determined contribution) assumes the reduction of CO2 emissions through aggressive energy conservation. In this study, we develop a time series model of monthly electricity demand in Japan and estimate time variation of the ECE. Moreover, we evaluate the impact of electricity conservation on CO2 emissions from power plants. The dynamic linear model is used to separate the ECE from the effects of other irrelevant factors (e.g. air temperature, economic production, and electricity price). Our result clearly shows that consumers’ electricity conservation behavior after the earthquake was not temporary but became established as a habit. Between March 2011 and March 2016, the ECE on industrial electricity demand ranged from 3.9% to 5.4%, and the ECE on residential electricity demand ranged from 1.6% to 7.6%. The ECE on the total electricity demand was estimated at 3.2%–6.0%. We found a seasonal pattern that the residential ECE in summer is higher than that in winter. The emissions increase from the shutdown of nuclear power plants was mitigated by electricity conservation. The emissions reduction effect was estimated at 0.82 MtCO2–2.26 MtCO2 (−4.5% on average compared to the zero-ECE case). The time-varying ECE is necessary for predicting Japan’s electricity demand and CO2 emissions after the

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

    DEFF Research Database (Denmark)

    Yang, Yingkui; Solgaard, Hans Stubbe

    2015-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Hossein Soltanzadeh

    2015-03-01

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

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

    International Nuclear Information System (INIS)

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

    2006-01-01

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

  11. Impact of plug-in electric vehicles on voltage unbalance in ...

    African Journals Online (AJOL)

    Plug-in electric vehicle (PEV) will soon be connected to residential distribution networks. ... generation units which transfer the energy stored in their battery into grid. ... electric vehicles on voltage imbalance in distribution system is presented. ... and other types of distribution generator such as solar photovoltaic and wind ...

  12. Higher-capacity lithium ion battery chemistries for improved residential energy storage with micro-cogeneration

    International Nuclear Information System (INIS)

    Darcovich, K.; Henquin, E.R.; Kenney, B.; Davidson, I.J.; Saldanha, N.; Beausoleil-Morrison, I.

    2013-01-01

    Highlights: • Characterized two novel high capacity electrode materials for Li-ion batteries. • A numerical discharge model was run to characterize Li-ion cell behavior. • Engineering model of Li-ion battery pack developed from cell fundamentals. • ESP-r model integrated micro-cogeneration and high capacity Li-ion storage. • Higher capacity batteries shown to improve micro-cogeneration systems. - Abstract: Combined heat and power on a residential scale, also known as micro-cogeneration, is currently gaining traction as an energy savings practice. The configuration of micro-cogeneration systems is highly variable, as local climate, energy supply, energy market and the feasibility of including renewable type components such as wind turbines or photovoltaic panels are all factors. Large-scale lithium ion batteries for electrical storage in this context can provide cost savings, operational flexibility, and reduced stress on the distribution grid as well as a degree of contingency for installations relying upon unsteady renewables. Concurrently, significant advances in component materials used to make lithium ion cells offer performance improvements in terms of power output, energy capacity, robustness and longevity, thereby enhancing their prospective utility in residential micro-cogeneration installations. The present study evaluates annual residential energy use for a typical Canadian home connected to the electrical grid, equipped with a micro-cogeneration system consisting of a Stirling engine for supplying heat and power, coupled with a nominal 2 kW/6 kW h lithium ion battery. Two novel battery cathode chemistries, one a new Li–NCA material, the other a high voltage Ni-doped lithium manganate, are compared in the residential micro-cogeneration context with a system equipped with the presently conventional LiMn 2 O 4 spinel-type battery

  13. 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

  14. Electric heat-pumps in residential buildings

    Energy Technology Data Exchange (ETDEWEB)

    1983-03-01

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

  15. Maximum Regional Emission Reduction Potential in Residential Sector Based on Spatial Distribution of Population and Resources

    Science.gov (United States)

    Winijkul, E.; Bond, T. C.

    2011-12-01

    In the residential sector, major activities that generate emissions are cooking and heating, and fuels ranging from traditional (wood) to modern (natural gas, or electricity) are used. Direct air pollutant emissions from this sector are low when natural gas or electricity are the dominant energy sources, as is the case in developed countries. However, in developing countries, people may rely on solid fuels and this sector can contribute a large fraction of emissions. The magnitude of the health loss associated with exposure to indoor smoke as well as its concentration among rural population in developing countries have recently put preventive measures high on the agenda of international development and public health organizations. This study focuses on these developing regions: Central America, Africa, and Asia. Current and future emissions from the residential sector depend on both fuel and cooking device (stove) type. Availability of fuels, stoves, and interventions depends strongly on spatial distribution. However, regional emission calculations do not consider this spatial dependence. Fuel consumption data is presented at country level, without information about where different types of fuel are used. Moreover, information about stove types that are currently used and can be used in the future is not available. In this study, we first spatially allocate current emissions within residential sector. We use Geographic Information System maps of temperature, electricity availability, forest area, and population to determine the distribution of fuel types and availability of stoves. Within each country, consumption of different fuel types, such as fuelwood, coal, and LPG is distributed among different area types (urban, peri-urban, and rural area). Then, the cleanest stove technologies which could be used in the area are selected based on the constraints of each area, i.e. availability of resources. Using this map, the maximum emission reduction compared with

  16. SOLAR SYSTEMS FOR RESIDENTIAL BUILDINGS IN ACCORDANCE WITH OPERATING CONDITIONS OF THE REPUBLIC OF BELARUS

    Directory of Open Access Journals (Sweden)

    M. A. Rutkowski

    2017-01-01

    Full Text Available Solar systems are actively applied for heat supply of buildings in Europe. Usage of solar energy for heat supply of residential buildings is considered as rather efficient for the Republic of Belarus because total amount of direct and scattered solar radiation entering horizontal surface is equivalent to an average European index for the climate of Belarus. The paper analyzes an existing dependence on determination of solar system efficiency and proposes an amended formula for calculations while designing solar consumption systems and its legitimacy has been experimentally proved. A scheme of an experimental unit with explanations and a brief description for execution of experiments and main results of the completed investigations have been presented in the paper. Experiments have been carried out for solar systems with natural and forced coolant circulation. Attention has been paid to obtaining maximum possible temperature potential of the coolant during operation of the solar system within periods of high and low solar radiation intensity. Recommendations on practical application of solar systems for multi-storey residential buildings houses and mansion-type houses have been given in the paper. The paper presents technological principles of constructing “passive” solar heating devices. A comparison of traditionally applied and proposed alternative solar systems has been made for operational conditions in Belarus. The paper proposes a solar system for hot water supply of multi-storey buildings. The proposed system has found its first realization in the Republic while designing and constructing an energy-efficient demonstration 10-storey residential building in Mogilev within the framework of the UN Development Program project and Global Environment Fund “Improvement of energy efficiency for residential buildings in the Republic of Belarus”

  17. Life cycle primary energy analysis of residential buildings

    Energy Technology Data Exchange (ETDEWEB)

    Gustavsson, Leif; Joelsson, Anna [Ecotechnology, Department of Engineering and Sustainable Development, Mid Sweden University, SE-831 25 Oestersund (Sweden)

    2010-02-15

    The space heating demand of residential buildings can be decreased by improved insulation, reduced air leakage and by heat recovery from ventilation air. However, these measures result in an increased use of materials. As the energy for building operation decreases, the relative importance of the energy used in the production phase increases and influences optimization aimed at minimizing the life cycle energy use. The life cycle primary energy use of buildings also depends on the energy supply systems. In this work we analyse primary energy use and CO{sub 2} emission for the production and operation of conventional and low-energy residential buildings. Different types of energy supply systems are included in the analysis. We show that for a conventional and a low-energy building the primary energy use for production can be up to 45% and 60%, respectively, of the total, depending on the energy supply system, and with larger variations for conventional buildings. The primary energy used and the CO{sub 2} emission resulting from production are lower for wood-framed constructions than for concrete-framed constructions. The primary energy use and the CO{sub 2} emission depend strongly on the energy supply, for both conventional and low-energy buildings. For example, a single-family house from the 1970s heated with biomass-based district heating with cogeneration has 70% lower operational primary energy use than if heated with fuel-based electricity. The specific primary energy use with district heating was 40% lower than that of an electrically heated passive row house. (author)

  18. Usage Center

    DEFF Research Database (Denmark)

    Kleinaltenkamp, Michael; Plewa, Carolin; Gudergan, Siegfried

    2017-01-01

    Purpose: The purpose of this paper is to advance extant theorizing around resourceintegration by conceptualizing and delineating the notion of a usage center. Ausage center consists of a combination of interdependent actors that draw onresources across their individual usage processes to create v...

  19. 76 FR 22453 - Energy Conservation Program: Energy Conservation Standards for Residential Clothes Dryers and...

    Science.gov (United States)

    2011-04-21

    ... Mode and Off Mode b. Automatic Cycle Termination c. Ventless Clothes Dryers d. Consumer Usage Habits e... as cooling capacity in British thermal units (Btu) per hour (h) divided by electrical input power in...

  20. Residential environmental evaluation of local cities considering regional characteristic and personal residential preference-a case study of Saga City,Japan

    Institute of Scientific and Technical Information of China (English)

    GE Jian; HOKAO Kazunori

    2004-01-01

    Questionnaire surveys and subjective evaluations on residential environment were performed in order to grasp the main factors of residential environment of small local cities. The suitable evaluation index system was established, and the regional residential environment characteristics and personal residential preference types were analyzed, so that their influence on residential environment evaluation could be grasped. The results can be applied to the residential environment planning, construction and monitoring of local cities.

  1. Power Play: Calculating Home Electricity Consumption

    Science.gov (United States)

    Roman, Harry T.

    2007-01-01

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

  2. Impacts of Water Quality on Residential Water Heating Equipment

    Energy Technology Data Exchange (ETDEWEB)

    Widder, Sarah H.; Baechler, Michael C.

    2013-11-01

    Water heating is a ubiquitous energy use in all residential housing, accounting for 17.7% of residential energy use (EIA 2012). Today, there are many efficient water heating options available for every fuel type, from electric and gas to more unconventional fuel types like propane, solar, and fuel oil. Which water heating option is the best choice for a given household will depend on a number of factors, including average daily hot water use (total gallons per day), hot water draw patterns (close together or spread out), the hot water distribution system (compact or distributed), installation constraints (such as space, electrical service, or venting accommodations) and fuel-type availability and cost. While in general more efficient water heaters are more expensive than conventional water heating technologies, the savings in energy use and, thus, utility bills can recoup the additional upfront investment and make an efficient water heater a good investment over time in most situations, although the specific payback period for a given installation will vary widely. However, the expected lifetime of a water heater in a given installation can dramatically influence the cost effectiveness and savings potential of a water heater and should be considered, along with water use characteristics, fuel availability and cost, and specific home characteristics when selecting the optimum water heating equipment for a particular installation. This report provides recommendations for selecting and maintaining water heating equipment based on local water quality characteristics.

  3. 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 ...

  4. The potential of electric vehicles

    International Nuclear Information System (INIS)

    2016-04-01

    Electric vehicles can help reduce the dependence of road transport on imported oil, cut the country's energy bill, reduce greenhouse gas emissions, improve air quality in cities through zero exhaust emissions and reduce noise pollution. The economic costs and environmental impacts of electric vehicles are mostly concentrated at the manufacturing stage, whereas the costs and impacts of internal combustion vehicles are predominantly felt during usage. So we cannot simply compare vehicles as objects, we must see how they are used, which means taking a fresh look at the full potential of electric vehicles which must be used intensely to be economically and environmentally viable. The main advantage of internal combustion vehicles is their ability to carry a very large amount of energy giving them a very large range and significant versatility. However, the consequences of the use of fossil fuels on the climate and the environment today require us to look for other solutions for vehicles and mobility systems. Electric vehicles are among these: its lack of versatility, due to its still limited range, is offset by being more adaptable and optimised for the usage sought. Electric vehicles are particularly suitable for new mobility services offerings and allow the transition to new ways of travelling to be speeded up optimising the use of the vehicle and no longer requiring ownership of it. The use of digital, facilitated by the electrical engine, opens up numerous opportunities for innovations and new services (such as the autonomous vehicle for example). In addition, electric vehicles can do more than just transport. Their batteries provide useful energy storage capabilities that can help regulate the power grid and the development of renewable energy. The marketing of electric vehicles may be accompanied by energy services that can be economically viable and used to structure the electro-mobility offer in return. To minimise the impact on the electrical grid, it is

  5. Potential reduction of energy consumption in public university library

    Science.gov (United States)

    Noranai, Z.; Azman, ADF

    2017-09-01

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

  6. Efficient Energy Management for a Grid-Tied Residential Microgrid

    DEFF Research Database (Denmark)

    Anvari-Moghaddam, Amjad; Guerrero, Josep M.; Quintero, Juan Carlos Vasquez

    2017-01-01

    In this paper, an effective energy management system (EMS) for application in integrated building and microgrid system is introduced and implemented as a multi-objective optimization problem. The proposed architecture covers different key modelling aspects such as distributed heat and electricity......’s objectives, the effectiveness and applicability of the proposed model is studied and validated compared to the existing residential EMSs. The simulation results demonstrate that the proposed EMS has the capability not only to conserve energy in sustainable homes and microgrid system and to reduce energy...

  7. Residential Feedback Devices and Programs. Opportunities for Natural Gas

    Energy Technology Data Exchange (ETDEWEB)

    Kerr, R. [Building America Partnership for Improved Residential Construction (BA-PIRC), Cocoa, FL (United States); Tondro, M. [Building America Partnership for Improved Residential Construction (BA-PIRC), Cocoa, FL (United States)

    2012-12-01

    Behavior-based approaches have been a growing interest in the energy efficiency field over recent years and the use of residential energy feedback has garnered particular interest. By providing an increased level of detail, feedback can greatly increase a consumer’s understanding of how energy is used in their home. This project reviewed the existing body of research on electricity feedback to identify parallel lessons for gas, discussed the benefits and challenges of different types of feedback, and identifying three feedback options that show strong potential for natural gas savings.

  8. Residential Feedback Devices and Programs: Opportunities for Natural Gas

    Energy Technology Data Exchange (ETDEWEB)

    Kerr, R.; Tondro, M.

    2012-12-01

    Behavior-based approaches have been a growing interest in the energy efficiency field over recent years and the use of residential energy feedback has garnered particular interest. By providing an increased level of detail, feedback can greatly increase a consumer's understanding of how energy is used in their home. This project reviewed the existing body of research on electricity feedback to identify parallel lessons for gas, discussed the benefits and challenges of different types of feedback, and identifying three feedback options that show strong potential for natural gas savings.

  9. 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.

  10. An Introduction to Retail Electricity Choice in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Shengru [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-10-04

    Retail electricity choice in the United States allows end-use customers (including industrial, commercial, and residential customers) to buy electricity from competitive retail suppliers. This brochure offers an overview of retail electricity choice in the United States, and its impact on prices and renewable energy procurement. It concludes with three lessons learned from the U.S. retail market experience that may serve as a reference for other countries and regions taking steps towards retail electricity market liberalization.

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

    Science.gov (United States)

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

    2017-11-01

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

  12. Size and importance of small electrical end uses in households

    Energy Technology Data Exchange (ETDEWEB)

    Broderick, J R; Zogg, R A; Alberino, D L

    1998-07-01

    Miscellaneous end uses (an energy-consumption category in the residential sector) has recently emerged with more importance than ever before. Miscellaneous end uses are a collection of numerous end uses (often unrelated in technology or market characteristics) that individually are small consumers but when grouped together can become notable in size. The Annual Energy Outlook 1998, published by the Energy Information Administration (EIA), suggests that about 32% of residential electricity use in 1996 is attributable to miscellaneous end uses (21% from the Other Uses category and 11% from other miscellaneous categories). The EIA predicts this consumption will grow to about 47% of residential electricity use by 2010. Other studies have shown substantial consumption in this category, and forecast substantial future growth as well. However, it is not clear that the current accounting structure of the miscellaneous category is the most appropriate one, nor that the forecast growth in consumption will materialize. A bottom-up study on a collection of miscellaneous electric end uses was performed to better understand this complex, ill-defined category. Initial results show that many end uses can be categorized more appropriately, such as furnace fans, which belong in Space Heating. A recommended categorization reduces the Other Uses category from 21% to 12% of electric consumption estimated in 1996. Thus, the consumption from miscellaneous end uses is not nearly as large as thought. Furthermore, the growth rate associated with small end uses is projected to be lower relative to projections from other sources.

  13. The Electric Traveling Salesman Problem with Time Windows

    DEFF Research Database (Denmark)

    Roberti, Roberto; Wen, Min

    2016-01-01

    To minimize greenhouse gas emissions, the logistic field has seen an increasing usage of electric vehicles. The resulting distribution planning problems present new computational challenges.We address a problem, called Electric Traveling Salesman Problem with Time Windows. We propose a mixed...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1992-10-01

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

  15. 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...

  16. Leaking electricity in domestic appliances

    International Nuclear Information System (INIS)

    Meier, Alan; Rosen, Karen

    1999-01-01

    Many types of home electronic equipment draw electric power when switched off or not performing their principal functions. Standby power use (or ''leaking electricity'') for most appliances ranges from 1 - 20 watts. Even though standby use of each device is small, the combined standby power use of all appliances in a home can easily exceed 50 watts. Leaking electricity is already responsible for 5 to 10 percent of residential electricity use in the United States and over 10 percent in Japan. An increasing number of white goods also have standby power requirements. There is a growing international effort to limit standby power to around one watt per device. New and existing technologies are available to meet this target at little or no extra cost

  17. Applying water cooled air conditioners in residential buildings in Hong Kong

    International Nuclear Information System (INIS)

    Chen Hua; Lee, W.L.; Yik, F.W.H.

    2008-01-01

    The objective of this study is to conduct a realistic prediction of the potential energy saving for using water cooled air conditioners in residential buildings in Hong Kong. A split type air conditioner with air cooled (AAC) and water cooled (WAC) options was set up for experimental study at different indoor and outdoor conditions. The cooling output, power consumption and coefficient of performance (COP) of the two options were measured and calculated for comparison. The experimental results showed that the COP of the WAC is, on average, 17.4% higher than that of the AAC. The results were used to validate the mathematical models formulated for predicting the performance of WACs and AACs at different operating conditions and load characteristics. While the development of the mathematical models for WACs was reported in an earlier paper, this paper focuses on the experimental works for the AAC. The mathematical models were further used to predict the potential energy saving for application of WACs in residential buildings in Hong Kong. The predictions were based on actual building developments and realistic operating characteristics. The overall energy savings were estimated to be around 8.7% of the total electricity consumption for residential buildings in Hong Kong. Wider use of WACs in subtropical cities is, therefore, recommended

  18. Thermal Performance of Typical Residential Building in Karachi with Different Materials for Construction

    Directory of Open Access Journals (Sweden)

    Nafeesa Shaheen

    2016-04-01

    Full Text Available This research work deals with a study of a residential building located in climatic context of Karachi with the objective of being the study of thermal performance based upon passive design techniques. The study helps in reducing the electricity consumption by improving indoor temperatures. The existing residential buildings in Karachi were studied with reference to their planning and design, analyzed and evaluated. Different construction?s compositions of buildings were identified, surveyed and analyzed in making of the effective building envelops. Autodesk® Ecotect, 2011 was used to determine indoor comfort conditions and HVAC (Heating, Ventilation, Air-Conditioning and Cooling loads. The result of the research depicted significant energy savings of 38.5% in HVAC loads with proposed building envelop of locally available materials and glazing.

  19. Feature Usage Explorer: Usage Monitoring and Visualization Tool in HTML5 Based Applications

    Directory of Open Access Journals (Sweden)

    Sarunas Marciuska

    2013-10-01

    Full Text Available Feature Usage Explorer is a JavaScript library, which automatically detects features in HTML5 based applications and monitors their usage. The collected information can be visualized in a Feature Usage Diagram, which is automatically generated from an input json file. Currently, the users of Feature Usage Explorer have to design their own tool in order to generate the json file from collected usage information. This option remains viable when using the library in order not to constraint the user’s choice of preferred data storage. Feature Usage Explorer can be reused in any HTML5 based applications where an understanding of how users interact with the system is required (i.e. user experience and usability studies, human computer interaction field, or requirement prioritization area.

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

    Energy Technology Data Exchange (ETDEWEB)

    1980-09-01

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

  1. Technical and economical assessment of the utilization of photovoltaic systems in residential buildings: The case of Jordan

    International Nuclear Information System (INIS)

    Al-Salaymeh, A.; Al-Hamamre, Z.; Sharaf, F.; Abdelkader, M.R.

    2010-01-01

    This paper studies the feasibility of utilizing photovoltaic systems in a standard residential apartment in Amman city in Jordan. Data on solar radiation, sunshine duration and the ambient temperature has been recorded in Amman city. An apartment in Amman was chosen as a case study to conduct energy and economic calculations. The electrical power needs and cost were calculated for the apartment. The component design and cost of PV system required to supply required energy was calculated and the payback period for the suggested stand-alone PV system in this paper was estimated in a constant inflation rate in electricity price similar to that of interest rate. The calculated payback period was high in a stand-alone system, to decrease payback period a grid-connected PV system is suggested. Considering an annual increase of 3% in electricity price, 15% of payback period was decreased in a stand-alone PV system and 21% in a grid-connected PV system. The output results of this study show that installation of PV system in a residential flat in Jordan may not be economically rewarding owing to the high cost of PV system compared to the cost of grid electricity. A feed-in tariff law of solar electricity may help to reduce PV system cost like the case of Germany. Additional conclusions are PV systems may be economically rewarding in Jordan if applied in locations far from electrical grid or in remote large scale PV power installations to overcome economical limitations of PV technology.

  2. 24 CFR 40.2 - Definition of “residential structure”.

    Science.gov (United States)

    2010-04-01

    ... OWNED RESIDENTIAL STRUCTURES § 40.2 Definition of “residential structure”. (a) As used in this part, the term residential structure means a residential structure (other than a privately owned residential structure and a residential structure on a military reservation): (1) Constructed or altered by or on behalf...

  3. Energy efficiency system development

    Science.gov (United States)

    Leman, A. M.; Rahman, K. A.; Chong, Haw Jie; Salleh, Mohd Najib Mohd; Yusof, M. Z. M.

    2017-09-01

    By subjecting to the massive usage of electrical energy in Malaysia, energy efficiency is now one of the key areas of focus in climate change mitigation. This paper focuses on the development of an energy efficiency system of household electrical appliances for residential areas. Distribution of Questionnaires and pay a visit to few selected residential areas are conducted during the fulfilment of the project as well as some advice on how to save energy are shared with the participants. Based on the collected data, the system developed by the UTHM Energy Team is then evaluated from the aspect of the consumers' behaviour in using electrical appliances and the potential reduction targeted by the team. By the end of the project, 60% of the participants had successfully reduced the electrical power consumption set by the UTHM Energy Team. The reasons for whether the success and the failure is further analysed in this project.

  4. An evaluation of the impact of state Renewable Portfolio Standards (RPS) on retail, commercial, and industrial electricity prices

    Science.gov (United States)

    Puram, Rakesh

    The Renewable Portfolio Standard (RPS) has become a popular mechanism for states to promote renewable energy and its popularity has spurred a potential bill within Congress for a nationwide Federal RPS. While RPS benefits have been touted by several groups, it also has detractors. Among the concerns is that RPS standards could raise electricity rates, given that renewable energy is costlier than traditional fossil fuels. The evidence on the impact of RPS on electricity prices is murky at best: Complex models by NREL and USEIA utilize computer programs with several assumptions which make empirical studies difficult and only predict slight increases in electricity rates associated with RPS standards. Recent theoretical models and empirical studies have found price increases, but often fail to comprehensively include several sets of variables, which in fact could confound results. Utilizing a combination of past papers and studies to triangulate variables this study aims to develop both a rigorous fixed effects regression model as well as a theoretical framework to explain the results. This study analyzes state level panel data from 2002 to 2008 to analyze the effect of RPS on residential, commercial, and industrial electricity prices, controlling for several factors including amount of electricity generation from renewable and non-renewable sources, customer incentives for renewable energy, macroeconomic and demographic indicators, and fuel price mix. The study contrasts several regressions to illustrate important relationships and how inclusions as well as exclusion of various variables have an effect on electricity rates. Regression results indicate that the presence of RPS within a state increases the commercial and residential electricity rates, but have no discernable effect on the industrial electricity rate. Although RPS tends to increase electricity prices, the effect has a small impact on higher electricity prices. The models also indicate that jointly all

  5. 77 FR 1474 - Decision and Order Granting a Waiver to Samsung From the Department of Energy Residential...

    Science.gov (United States)

    2012-01-10

    .... RF-019] Decision and Order Granting a Waiver to Samsung From the Department of Energy Residential... of the decision and order (Case Nos. RF-018, RF-019) that grants to Samsung Electronics America, Inc. (Samsung) a waiver from the DOE electric refrigerator and refrigerator-freezer test procedures for the...

  6. Regional analysis of residential water heating options: energy use and economics

    Energy Technology Data Exchange (ETDEWEB)

    O' Neal, D.; Carney, J.; Hirst, E.

    1978-10-01

    This report evaluates the energy and direct economic effects of introducing improved electric-water-heating systems to the residential market. These systems are: electric heat pumps offered in 1981, solar systems offered in 1977, and solar systems offered in 1977 with a Federal tax credit in effect from 1977 through 1984. The ORNL residential energy model is used to calculate energy savings by type of fuel for each system in each of the ten Federal regions and for the nation as a whole for each year between 1977 and 2000. Changes in annual fuel bills and capital costs for water heaters are also computed at the same level of detail. Model results suggest that heat-pump water heaters are likely to offer much larger energy and economic benefits than will solar systems, even with tax credits. This is because heat pumps provide about the same savings in electricity for water heating (about half) at a much lower capital cost ($700 to $2000) than do solar systems. However, these results are based on highly uncertain estimates of future performance and cost characteristics for both heat pump and solar systems. The cumulative national energy saving by the year 2000 due to commercialization of heat-pump water heaters in 1981 is estimated to be 1.5 QBtu. Solar-energy benefits are about half this much without tax credits and two-thirds as much with tax credits. The net economic benefit to households of heat-pump water heaters (present worth of fuel bill reductions less the present worth of extra costs for more-efficient systems) is estimated to be $640 million. Again, the solar benefits are much less.

  7. Evaluation of the Field Performance of Residential Fuel Cells: Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Torrero, E.; McClelland, R.

    2004-05-01

    Distributed generation has attracted significant interest from rural electric cooperatives and their customers. Cooperatives have a particular nexus because of inherently low customer density, growth patterns at the end of long lines, and an influx of customers and high-tech industries seeking to diversify out of urban environments. Fuel cells are considered a particularly interesting DG candidate for these cooperatives because of their power quality, efficiency, and environmental benefits. The National Rural Electric Cooperative Association Cooperative Research Network residential fuel cell program demonstrated RFC power plants and assessed related technical and application issues. This final subcontract report is an assessment of the program's results. This 3-year program leveraged Department of Energy (DOE) and National Renewable Energy Laboratory (NREL) funding.

  8. Residential photovoltaic module and array requirement study. Low-Cost Solar Array Project engineering area. Final report appendices

    Energy Technology Data Exchange (ETDEWEB)

    1979-06-01

    This volume contains the appendices to a study to identify design requirements for photovoltaic modules and arrays used in residential applications. Appendices include: (1) codes, standards, and manuals of accepted practice-definition and importance; (2) regional code variations-impact; (3) model and city codes-review; (4) National Electric Code (NEC)-review; (5) types of standards-definition and importance; (6) federal standards-review; (7) standards review method; (8) manuals of accepted practice; (9) codes and referenced standards-summary; (10) public safety testing laboratories; (11) insurance review; (12) studies approach; (13) mounting configurations; (14) module/panel size and shape cost analysis; (15) grounding, wiring, terminal and voltage studies; (16) array installation cost summary; (17) photovoltaic shingle/module comparison; (18) retrofit application; (19) residential photovoltaic module performance criteria; (20) critique of JPL's solar cell module design and test specifications for residential applications; and (21) CSI format specification. (WHK)

  9. Design of a DC-AC Link Converter for 500W Residential Wind Generator

    Directory of Open Access Journals (Sweden)

    Riza Muhida

    2012-12-01

    Full Text Available  As one of alternative sources of renewable energy, wind energy has an excellence prospect in Indonesia, particularly in coastal and hilly areas which have potential wind to generate electricity for residential uses. There is urgent need to locally develop low cost inverter of wind generator system for residential use. Recent developments in power electronic converters and embedded computing allow improvement of power electronic converter devices that enable integration of microcontrollers in its design. In this project, an inverter circuit with suitable control scheme design was developed. The circuit was to be used with a selected topology of Wind Energy Conversion System (WECS to convert electricity generated by a 500W direct-drive permanent magnet type wind generator which is typical for residential use. From single phase AC output of the generator, a rectifier circuit is designed to convert AC to DC voltage. Then a DC-DC boost converter is used to step up the voltage to a nominal DC voltage suitable for domestic use. The proposed inverter then will convert the DC voltage to sinusoidal AC. The duty cycle of sinusoidal Pulse-Width Modulated (SPWM signal controlling switches in the inverter was generated by a microcontroller. The lab-scale experimental rig involves simulation of wind generator by running a geared DC motor coupled with 500W wind generator where the prototype circuit was connected at the generator output. The experimental circuit produced single phase 240V sinusoidal AC voltage with frequency of 50Hz. Measured total harmonics distortion (THD of the voltage across load was 4.0% which is within the limit of 5% as recommended by IEEE Standard 519-1992.

  10. How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach

    International Nuclear Information System (INIS)

    Zhang, Zibin; Cai, Wenxin; Feng, Xiangzhao

    2017-01-01

    China is the largest electricity consumption country after it has passed the United States in 2011. Residential electricity consumption in China grew by 381.35% (12.85% per annum) between 2000 and 2013. In order to deal with rapid growth in residential electricity consumption, an increasing block pricing policy was introduced for residential electricity consumers in China on July 1st, 2012. Using difference-in-differences models with a fuzzy regression discontinuity design, we estimate a causal effect of price on electricity consumption for urban households during the introduction of increasing block pricing policy in Guangdong province of China. We find that consumers do not respond to a smaller (approximately 8%) increase in marginal price. However, consumers do respond to a larger increase in marginal price. An approximately 40% increase in marginal price induces an approximately 35% decrease in electricity use (284 kW h per month). Our results suggest that although the increasing block pricing could affect the behavior of households with higher electricity use, there is only a limit potential to overall energy conservation. - Highlights: • Estimate electricity consumption changes in response to the IBP in China. • Employ quasi-experimental approach and micro household level data in China. • Households do not respond to a smaller increase in marginal price. • 40% increase in marginal price induces a 35% decrease in electricity use.

  11. Energy Usage of Residents on Offshore Islands in Taiwan

    Directory of Open Access Journals (Sweden)

    Szu-Cheng Lu

    2015-05-01

    Full Text Available A field study was conducted through interviews on offshore islands in Taiwan to investigate the energy usage of local residents. A comparison of household appliance usage in mainland Taiwan with that on the offshore islands revealed that, overall, the most commonly used household appliances are steam cookers/rice cookers, water dispensers, and washing machines. For other household appliances, Levels 2 and 3 offshore isles have lower use penetration rates compared with those in mainland Taiwan and on Level 1 offshore isles, particularly for the use of computers. By contrast, the use penetration rate for chest freezers on Levels 2 and 3 offshore isles is high, and each household has one or more freezers on average. This appliance is not a commonly observed household product in mainland Taiwan or on Level 1 offshore isles. Furthermore, because of the government policy, every household on parts of Level 2 offshore isles and on all Level 3 offshore isles has a fixed monthly charge of electricity. The transportation of liquefied petroleum gas is also inconvenient, and the gas price is slightly higher, leading to the tendency of residents to consume excessive amounts of electrical energy, which does not correspond with the aim of the government to conserve energy and reduce carbon emissions; thus, the relevant authorities’ review and improvement on energy consumption on Levels 2 and 3 offshore isles are required.

  12. The Feasibility of Small Hydro-Electric Generation in a Large Urban Area

    OpenAIRE

    Benson Y. Zhang; Adam Taylor

    2012-01-01

    The possibilities of generating electric power from relatively small hydro-electric sources in a large urban area is investigated. Two different aspects of hydro-electric sources have been studied: storm/waste water pipes in large multi-tenanted residential buildings and urban storm water discharge area (CSI area). The potential to generate from these sources has been investigated using a micro-turbine. The potential electric power which could be extracted from the sources was estimated using...

  13. Materials and electricity

    International Nuclear Information System (INIS)

    Jaffee, R.I.

    1986-01-01

    Despite an increase in the intensity of electricity usage, electricity has been reversing its historical trend of reduced cost since 1970 to the point where costs are increasing faster than inflation. Designers and operators on both sides of the meter and the developers of materials from which the electric system is constructed must contribute to the lowering of costs and an increase in reliability for the generation, transmission and distribution, and utilization of electricity. Four specific cases illustrate the role of materials/process improvements to this end. The examples highlight the use of forged or welded integral rotors, improvements in the heat rate of coal-fired plants through higher steam conditions and reduced heat losses, reduced losses through amorphous steel cores for transformers, and reduced ac electric motor losses through silicon variable speed drives. 37 references, 27 figures, 9 tables

  14. 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...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-11-14

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-04-01

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

  17. Residential home heating: The potential for air source heat pump technologies as an alternative to solid and liquid fuels

    International Nuclear Information System (INIS)

    Kelly, J. Andrew; Fu, Miao; Clinch, J. Peter

    2016-01-01

    International commitments on greenhouse gases, renewables and air quality warrant consideration of alternative residential heating technologies. The residential sector in Ireland accounts for approximately 25% of primary energy demand with roughly half of primary home heating fuelled by oil and 11% by solid fuels. Displacing oil and solid fuel usage with air source heat pump (ASHP) technology could offer household cost savings, reductions in emissions, and reduced health impacts. An economic analysis estimates that 60% of homes using oil, have the potential to deliver savings in the region of €600 per annum when considering both running and annualised capital costs. Scenario analysis estimates that a grant of €2400 could increase the potential market uptake of oil users by up to 17% points, whilst a higher oil price, similar to 2013, could further increase uptake from heating oil users by 24% points. Under a combined oil-price and grant scenario, CO_2 emissions reduce by over 4 million tonnes per annum and residential PM_2_._5 and NO_X emissions from oil and peat reduce close to zero. Corresponding health and environmental benefits are estimated in the region of €100m per annum. Sensitivity analyses are presented assessing the impact of alternate discount rates and technology performance. This research confirms the potential for ASHP technology and identifies and informs policy design considerations with regard to oil price trends, access to capital, targeting of grants, and addressing transactions costs. - Highlights: • Air Source Heat Pumps can offer substantial savings over oil fired central heating. • Significant residential air and climate emission reductions are possible. • Associated health and environmental benefits are estimated up to €100m per annum. • Results can inform policy interventions in the residential market to support change.

  18. 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

  19. 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

  20. Electricity savings from implementation of minimum energy efficiency standard for TVs in Malaysia

    Energy Technology Data Exchange (ETDEWEB)

    Varman, M.; Masjuki, H.H.; Mahlia, T.M.I. [University of Malaya, Kuala Lumpur (Malaysia). Department of Mechanical Engineering

    2005-06-01

    The popularization of 24 h pay-TV, interactive video games, web-TV, VCD and DVD in Malaysia are poised to have a large impact on overall TV electricity consumption in the country. With the increasing of overall TV energy consumption, energy efficiency standards are one of highly effective policies for decreasing electricity consumption in the residential sector. Energy efficiency standards are also capable of reducing consumer's electricity bill and contribute towards positive environmental impacts. This paper attempts to predict the amount of energy that can be saved in the residential sector by implementing minimum energy efficiency standard for television sets in Malaysia. Over the past 30 years, television ownership in Malaysian residents has increased from 186,036 units in 1970 to 2,741,640 units in 1991. This figure is expected to reach 6,201,316 units in the year 2010. Hence, efficiency improvement for this appliance will have a significant impact on the future of electricity consumption in this country. (author)

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

    International Nuclear Information System (INIS)

    Sanders, Kelly T.; Webber, Michael E.

    2015-01-01

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

  2. 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-...

  3. Indoor temperature changes after retrofit: inferences based on electricity billing data for nonparticipants and participants in the BPA Residential Weatherization Program

    Energy Technology Data Exchange (ETDEWEB)

    Hirst, E.; White, D.

    1985-07-01

    This report discusses changes in indoor temperatures in response to retrofit improvements. The data on which this analysis is based are from an evaluation of the Bonneville Power Administration (BPA) interim Residential Weatherization Program. The BPA program, operated through participating private and public utilities throughout the Pacific Northwest, offered financial assistance (generally a cash rebate) to encourage installation of energy-efficiency improvements to existing homes in the region. These retrofits included attic, wall, floor and heating duct insulation; storm windows and doors; clock thermostats; and caulking and weatherstripping. This program, which operated during 1982 and 1983, weatherized 104 thousand homes at a total cost to BPA of $157 million. In mid-1983, staff at Oak Ridge National Laboratory and Evaluation Research Corporation began an evaluation of the BPA program. The primary focus of this evaluation was assessment of the actual electricity saving that can be attributed to the program (Hirst, et al., 1985). These savings estimates were used to help assess the economic attractiveness of the program to participants, the BPA power system, and the Pacific Northwest region as a whole.

  4. Survey of residential magnetic field sources

    International Nuclear Information System (INIS)

    Zaffanella, L.E.

    1992-09-01

    A nationwide survey of 1000 residences is underway to determine the sources and characteristics of magnetic fields in the home. This report describes the goals, statistical sampling methods, measurement protocols, and experiences in measuring the first 707 residences of the survey. Some preliminary analysis of the data is also included. Investigators designed a sampling method to randomly select the participating utilities as well as the residential customers for the study. As a first step in the project, 18 utility employee residences were chosen to validate a relatively simple measurement protocol against the results of a more complete and intrusive method. Using the less intrusive measurement protocol, researchers worked closely with representatives from EPRI member utilities to enter customer residences and measure the magnetic fields found there. Magnetic field data were collected in different locations inside and around the residences. Twenty-four-hour recorders were left in the homes overnight. Tests showed that the simplified measurement protocol is adequate for achieving the goals of the study. Methods were developed for analyzing the field caused by a residence's ground current, the lateral field profiles of field lines, and the field measured around the periphery of the residences. Methods of residential source detection were developed that allow identification of sources such as ground connections at an electrical subpanel, two-wire multiple-way switches, and underground or overhead net currents exiting the periphery of a residence

  5. Heat Pump Water Heater Technology: Experiences of Residential Consumers and Utilities

    Energy Technology Data Exchange (ETDEWEB)

    Ashdown, BG

    2004-08-04

    This paper presents a case study of the residential heat pump water heater (HPWH) market. Its principal purpose is to evaluate the extent to which the HPWH will penetrate the residential market sector, given current market trends, producer and consumer attributes, and technical parameters. The report's secondary purpose is to gather background information leading to a generic framework for conducting market analyses of technologies. This framework can be used to compare readiness and to factor attributes of market demand back into product design. This study is a rapid prototype analysis rather than a detailed case analysis. For this reason, primary data collection was limited and reliance on secondary sources was extensive. Despite having met its technical goals and having been on the market for twenty years, the HPWH has had virtually no impact on contributing to the nation's water heating. In some cases, HPWH reliability and quality control are well below market expectations, and early units developed a reputation for unreliability, especially when measured against conventional water heaters. In addition to reliability problems, first costs of HPWH units can be three to five times higher than conventional units. Without a solid, well-managed business plan, most consumers will not be drawn to this product. This is unfortunate. Despite its higher first costs, efficiency of an HPWH is double that of a conventional water heater. The HPWH also offers an attractive payback period of two to five years, depending on hot water usage. On a strict life-cycle basis it supplies hot water very cost effectively. Water heating accounts for 17% of the nation's residential consumption of electricity (see chart at left)--water heating is second only to space heating in total residential energy use. Simple arithmetic suggests that this figure could be reduced to the extent HPWH technology displaces conventional water heating. In addition, the HPWH offers other

  6. Electric heating guidelines: power smart home; 2. ed.

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1994-12-31

    Guidelines, for use by B. C. Hydro, were established for proper planning and design of an electric heating system for residential buildings. The guidebook is divided into five sections: (1) comfort and electric heating systems, (2) contractors` guide to heat loss calculation, (3) imperial heat loss factors, (4) metric heat loss factors, and (5) installation guidelines for electric heating systems. Individual topics discussed include heat loss and the human body, heating systems and comfort, heat loss design, air leakage, and soil conductivity factors. Design considerations and equipment standards were described for the following electric heating systems: electric resistance baseboard systems, forced flow unitary heaters, electric radiant cable in-floor systems, radiant ceiling systems, forced warm air heating systems, furnaces, and heat pumps. 68 tabs., 29 figs.

  7. Natural gas–biomass dual fuelled microturbines: Comparison of operating strategies in the Italian residential sector

    International Nuclear Information System (INIS)

    Pantaleo, Antonio M.; Camporeale, Sergio; Shah, Nilay

    2014-01-01

    This paper compares different operating strategies for small scale (100 kWe) combined heat and power (CHP) plants fired by natural gas and solid biomass to serve a residential energy demand. The focus is on a dual fuel micro gas turbine (MGT) cycle. Various biomass/natural gas energy input ratios are modelled, in order to assess the trade-offs between: (i) lower energy conversion efficiency and higher investment cost when increasing the biomass input rate; (ii) higher primary energy savings and revenues from feed-in tariff available for biomass electricity fed into the grid. The strategies of baseload (BL), heat driven (HD) and electricity driven (ED) plant operation are compared, for an aggregate of residential end-users in cold, average and mild climate conditions. On the basis of the results from thermodynamic assessment and simulation at partial load operation, CAPEX and OPEX estimates, and Italian energy policy scenario (incentives available for biomass electricity, on-site and high efficiency CHP), the maximum global energy efficiency, primary energy savings and investment profitability is found, as a function of biomass/natural gas ratio, plant operating strategy and energy demand typology. The thermal and electric conversion efficiency ranged respectively between 46 and 38% and 30 and 19% for the natural gas and biomass fired case studies. The IRR of the investment was highly influenced by the load/CHP thermal power ratio and by the operation mode. The availability of high heat demand levels was also a key factor, to avoid wasted cogenerated heat and maximize CHP sales revenues. BL operation presented the highest profitability because of the higher revenues from electricity sales. Climate area was another important factor, mainly in case of low load/CHP ratios. Moreover, at low load/CHP power ratio and for the BL operation mode, the dual fuel option presented the highest profitability. This is due to the lower cost of biomass fuel in comparison to natural

  8. Solar Energy Systems for Ohioan Residential Homeowners

    Science.gov (United States)

    Luckett, Rickey D.

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

  9. 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…

  10. 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...

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

    Directory of Open Access Journals (Sweden)

    Tekla Sebestyén Szép

    2017-01-01

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

  12. Impact of electric industry deregulation on gas markets: a power marketer's perspective

    International Nuclear Information System (INIS)

    Jahns, F.H.

    1996-01-01

    The impact of electric industry deregulation on gas markets was examined. The presentation included industry comparisons of 1994 gas total revenues versus electricity total revenues for residential, commercial, and industrial use. A chart forecasting the outlook for gas-fired generation of electric power indicated that the use of natural gas as feedstock for power generation will increase from 12% to 37% during the period 1994 to 2003. 16 figs

  13. Usage Record Format Recommendation

    CERN Document Server

    Nilsen, J.K.; Muller-Pfeerkorn, R

    2013-01-01

    For resources to be shared, sites must be able to exchange basic accounting and usage data in a common format. This document describes a common format which enables the exchange of basic accounting and usage data from different resources. This record format is intended to facilitate the sharing of usage information, particularly in the area of the accounting of jobs, computing, memory, storage and cloud usage but with a structure that allows an easy extension to other resources. This document describes the Usage Record components both in natural language form and annotated XML. This document does not address how these records should be used, nor does it attempt to dictate the format in which the accounting records are stored. Instead, it denes a common exchange format. Furthermore, nothing is said regarding the communication mechanisms employed to exchange the records, i.e. transport layer, framing, authentication, integrity, etc.

  14. 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

  15. Information communication technology and electricity consumption in emerging economies

    International Nuclear Information System (INIS)

    Sadorsky, Perry

    2012-01-01

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

  16. Small distributed generation versus centralised supply: a social cost-benefit analysis in the residential and service sectors

    International Nuclear Information System (INIS)

    Gulli, Francesco

    2006-01-01

    This paper aims at measuring the social benefits of small CHP distributed generation (DG) in the residential and service sectors. We do this by comparing the social costs of decentralised and centralised supplies, simulating 'ideal' situations in which any source of allocative inefficiencies is eliminated. This comparison focuses on assessing internal and external costs. The internal costs are calculated by simulating the optimal prices of the electricity and gas inputs. The external costs are estimated by using and elaborating the results of the dissemination process of the ExternE project, one of the most recent and accurate methodologies in this field. The analysis takes into account the main sources of uncertainty about the parameter values, including uncertainty about external cost estimations. Despite these sources of uncertainty, the paper concludes that centralised supply is still preferable to small DG. In fact, the overall range of DG social competitiveness is restricted, even considering further remarkable improvements in DG electrical efficiency and investment costs. The results are particularly unfavourable for the residential sector, whereas, in the service sector, the performance of DG technologies is slightly better

  17. Steering Angle Function Algorithm of Morphing of Residential Area

    Directory of Open Access Journals (Sweden)

    XIE Tian

    2015-07-01

    Full Text Available A residential area feature morphing method based on steering angle function is presented. To residential area with the same representation under two different scales,transforming the representation of the residential area polygon from vector coordinates to steering angle function,then using the steering angle function to match,and finding out the similarity and the differences between the residential areas under different scale to get the steering angle function of the the residential areas under any middle scale,the final,transforming the middle scale steering angle function to vector coordinates form,and get the middle shape interpolation of the the residential area polygon.Experimental results show:the residential area morphing method by using steering angle function presented can realize the continuous multi-scale representation under the premise of keeping in shape for the residential area with the rectangular boundary features.

  18. An overall assessment of the responsiveness of households to time-of-use electricity rates: The Ontario experiment

    International Nuclear Information System (INIS)

    Mountain, D.C.

    1993-01-01

    From 1982 to 1988, Ontario Hydro conducted an experiment in residential time-of-use pricing. A selection of households was offered one of 14 time-of-use treatments and each was monitored for electricity consumption on a 15-minute basis. The different rate structures were designed to reflect time variations in future system and distribution costs, both at the bulk and at the municipal level. Results were analyzed in terms of econometric models which to date have yielded information on the experimental changes in residential load shapes resulting from the time-of-use rates. The results are presented in the form of economic elasticities, percentage impacts, load changes at the household level, and simulated province-wide load changes. Also included are comparisons of results with other jurisdictions, comparisons of impacts on households with and without electric heating and with and without air conditioning, and comparisons across rate treatments with varying lengths of peak periods and relative prices. A fundamental conclusion is that time-of-use electricity rates do make a difference in residential load shapes. 17 refs., 8 tabs

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

    International Nuclear Information System (INIS)

    Yu, Hyun Jin Julie

    2017-01-01

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

  20. Willingness to Pay for Renewable Electricity: A Review of Utility Market Research

    Energy Technology Data Exchange (ETDEWEB)

    Farhar, B. C.

    1999-09-09

    As competition in the electric utility industry has become more widespread and federal legislation deregulating the utility industry more likely, utilities have become more concerned about actions they can take to help ensure the loyalty of their customers. National polls have, for 20 years, found majority preferences for renewable energy over other energy sources. This issue brief compiles and analyzes recent market research conducted by utility companies on customer interest in and willingness to pay for renewable electricity. Findings in the areas examined in this review are: Customers are favorable toward renewable sources of electricity, although they know little about them; Solar and wind are the most favored sources of electricity generation; Majorities of 52% to nearly 100% of residential customers said they were willing to pay at least a modest amount more per month on their electric bills for green power; their responses follow a predictable curve showing that percentages willing to pay more decline as cost increases. The residential market for green pricing is approximately 2% near program rollout at a $5/month price increment, and should increase slowly but steadily over time; Customers may view with favor, and be more willing to purchase electricity from, utilities that provide green power.

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

    International Nuclear Information System (INIS)

    Xu, Yancai; Liu, Derong; Wei, Qinglai

    2015-01-01

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

  2. Market influence on the low carbon energy refurbishment of existing multi-residential buildings

    International Nuclear Information System (INIS)

    Atkinson, Jonathan G.B.; Jackson, Tim; Mullings-Smith, Elizabeth

    2009-01-01

    This paper explores the relationship between the energy market; the political and regulatory context; and energy design decisions for existing multi-residential buildings, to determine what form the energy market landscape would take if tailored to encourage low carbon solutions. The links between market dynamics, Government strategies, and building designs are mapped to understand the steps that achieve carbon reduction from building operation. This is achieved using a model that takes financial and energy components with market and design variables to provide net present cost and annual carbon outputs. The financial component applies discounted cash flow analysis over the building lifespan, with discount rates reflecting contractual characteristics; the carbon component uses Standard Assessment Procedure (SAP) 2005. A scenario approach is adopted to test alternative strategies selected to encourage low carbon solutions in two residential and two office designs. The results show that the forward assumption of energy price escalation is the most influential factor on energy investment, together with the expected differentiation between the escalation of gas and electricity prices. Using this, and other influencing factors, the research reveals trends and strategies that will achieve mainstream application of energy efficiency and microgeneration technologies, and reduce carbon emissions in the existing multi-residential sector.

  3. 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)

  4. Electric sales and revenue, 1990

    International Nuclear Information System (INIS)

    1992-01-01

    The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. Previous publications presented data on typical electric bills at specified consumption levels as well as sales, revenues, and average revenue. The sales, revenue, and average revenue per kilowatthour provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1990. The electric revenue reported by each electric utility includes the revenue billed for the amount of kilowatthours sold, revenue from income, unemployment and other State and local taxes, energy or demand charges, consumer services charges, environmental surcharges, franchise fees, fuel adjustments, and other miscellaneous charges. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. The sales of electricity, associated revenue, and average revenue per kilowatthour provided in this report are presented at the national, Census division, State, and electric utility levels

  5. Formulation of a projection model of electric power demand applied to isolated systems in natural development: the case of the brazilian electric company of Rondonia territory; Formulacao de um modelo de projecao de demanda de energia eletrica aplicado a sistemas isolados em desenvolvimento natural: o caso da CERON - Centrais Eletricas de Rondonia

    Energy Technology Data Exchange (ETDEWEB)

    Dourado, Rosana Aparecida

    2004-07-01

    The Electricity inserts it self more than other services in the economy and in the Brasilian society resulting an increase of market of electrical energy more than that of economy e consequently in the national energy bases. Given the importance of the definition of the demand of electrical energy inside the development process of a region, the objective of this dissertation is to propose a model of forecasting energy demand applied to a small scale utility. With basing on the foundation that the electrical energy demand varies accordingly with the region, social levels and economical conditions and also the activities developed, the method utilized was a definition of a set of representative variables in this context, using the relation between the population an the number of residential consumers; consumption per residential consumer and the consumption structure of the residential segment over the total demand. The results with the application of the model utilizing this philosophy of the technique of modeling scenes, permitted the definition of electrical energy demand for the market of the Brazilian electric company CERON S.A. like a case study. (author)

  6. 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

  7. 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

  8. 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 ...

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

    International Nuclear Information System (INIS)

    Zhao Xiaoli; Li Na; Ma, Chunbo

    2012-01-01

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

  10. Neighborhood electric vehicle market test development project: Sacramento electric transportation consortium Ra 93-23 program. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Warf, W.R.

    1997-02-01

    The neighborhood electric vehicle (NEV) niche is the object of this market and product test project. The project availed itself of a limited production three wheel, single passenger low performance NEV designed and produced in Denmark to determine the acceptability of the design for production and use in North America. This vehicle, as well as a prototype four wheel vehicle designed and constructed through this project, are entirely reinforced plastic chassis and body. Pacific Electric Vehicles was the primary participant in the Project. Included are the evaluation of drive system components, battery charging schemes, body and chassis and glazing material suitability. The project determined and/or verified many of the realities of motor vehicle development and usage in the U.S., which remain more restrictive than elsewhere. Statistical usage data, maintenance requirements, and user experiences are reported and analyzed.

  11. 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...

  12. Deconstructing the Rosenfeld curve: Making sense of California's low electricity intensity

    International Nuclear Information System (INIS)

    Sudarshan, Anant

    2013-01-01

    Regulatory regimes that have increased household energy efficiency are of widespread interest to policymakers today. A prominent example is the state of California where electricity intensities in the residential sector have stayed near constant since the 1970s in sharp contrast to nationwide trends in the United States. A structural model of residential energy consumption is used to show that the use of energy intensities alone to evaluate the success of California efficiency programs is misleading and glosses over important policy independent factors. We quantify important effects of price, climate conditions and demographic characteristics on energy consumption in California. We also provide evidence of split incentive considerations in residential energy consumption patterns. We conclude that while state policy may have had some effect on efficiency, caution needs to be exercised in using the California example to inform expectations from similar measures in other regions. - Highlights: • We model electricity and heating fuel consumption in US households. • We use the structural model to estimate price elasticities. • California energy intensities are strongly influenced by policy independent factors. • The role of energy efficiency policy in lowering intensities is limited. • Evidence of split incentive considerations in energy demand

  13. Energy Management System Optimization for Battery-Ultracapacitor Powered Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Selim Koroglu

    2017-03-01

    Full Text Available Energy usage and environment pollution in the transportation are major problems of today’s world. Although electric vehicles are promising solutions to these problems, their energy management methods are complicated and need to be improved for the extensive usage. In this work, the heuristic optimization methods; Differential Evolution Algorithm, Genetic Algorithm and Particle Swarm Optimization, are used to provide an optimal energy management system for a battery/ultracapacitor powered electric vehicle without prior knowledge of the drive cycle. The proposed scheme has been simulated in Matlab and applied on the ECE driving cycle. The differences between optimization methods are compared with reproducible and measurable error criteria. Results and the comparisons show the effectiveness and the practicality of the applied methods for the energy management problem of the multi-source electric vehicles.

  14. Designation and influence of household increasing block electricity tariffs in China

    International Nuclear Information System (INIS)

    Lin Boqiang; Jiang Zhujun

    2012-01-01

    Electricity is the guarantee of normal life, and the electricity price is widely concerned. As a developing country in the transition stage, abundant policy implications are included in the electricity price in China, thus, whether to adjust the resident electricity price is a dilemma for the government. However, the current single tariff system cannot cope with the complex social and environmental problems. A new price mechanism is indeed needed. This paper tries to design an increasing block tariffs system with the consideration of residential income and electricity consumption. The result indicates that the increasing block tariffs system with four-tier structure is more reasonable for China. Although the increasing block tariffs will result in the increase of electricity price, it is still acceptable and affordable. The increasing block tariffs will greatly improve the equity and efficiency, and promote the electricity saving and emissions reduction. Moreover, the power companies will increase tariffs revenue, which would use to the transmission networks investment in poor area. In order to the offset the limitations of the increasing block tariffs, the government should adopt some complementary measures. - Highlights: ► We design an increasing block tariffs for residential electricity consumption with four-tier structure. ► Both the equity and efficiency will be greatly improved. ► Electricity demand and CO 2 emissions will reduce by 26.68 billion kWh and 14.11 million tons. ► Some measures should be taken as the complement to make the increasing block tariffs mechanism more efficient.

  15. Preliminary Study of Perception and Consumer Behaviour Towards Energy Saving for Household Appliances: A Case of Makassar

    Science.gov (United States)

    Syam Akil, Yusri; Mangngenre, Saiful; Mawar, Sri; Amar, Kifayah

    2018-03-01

    Electricity load has tendency to increase over the time. Therefore, efforts to maintain a balance between electricity supply and demand such as increasing energy saving related to the use of home electricity appliances are urgently needed. In general, one of the household appliances which consumes relatively high electricity energy is refrigerator. The purpose of this study is to analyze residential consumers perceptions and their behaviours about electricity energy saving in relation to the usage of household appliances in Makassar, Indonesia particularly for refrigerator. Moreover, typical relationship between perceptions and consumers behaviours is also analyzed by composed two regression models, namely model for usage behaviour (UREFm model) and model for habitual behaviour (HREFm model) by using general perception, specific perception, and external factors as explanation variables. To collect data, a questionnaire was designed for survey which involved 40 respondents as a preliminary study and then statistical tests including regression analysis were applied to analyze usable data. The target of respondent was an owner of a house in Makassar with installed power capacity at least 900 VA. Reliability test shown that all items in the developed questionnaire can be used for main survey as obtained Cronbach’s alpha values were above 0.6. Evaluation for consumers perceptions on energy saving in relation to demographic aspect using mean and Standard Deviation values indicated some significant differences. Other results regarding regression analysis shown that both composed models were well validated and had quite good fitness degree with adjusted R-squared values around 49.31% for UREFm model and 80.90% for HREFm model. Among considered variables, specific perception, and external factors were found have significant influence to the usage and habitual behaviours of consumers as confirmed by their p-values in each model below 0.05. Findings of this research can be

  16. Optimal Residential Load Scheduling Under Utility and Rooftop Photovoltaic Units

    Directory of Open Access Journals (Sweden)

    Ghulam Hafeez

    2018-03-01

    Full Text Available With the rapid advancement in technology, electrical energy consumption is increasing rapidly. Especially, in the residential sector, more than 80% of electrical energy is being consumed because of consumer negligence. This brings the challenging task of maintaining the balance between the demand and supply of electric power. In this paper, we focus on the problem of load balancing via load scheduling under utility and rooftop photovoltaic (PV units to reduce electricity cost and peak to average ratio (PAR in demand-side management. For this purpose, we adopted genetic algorithm (GA, binary particle swarm optimization (BPSO, wind-driven optimization (WDO, and our proposed genetic WDO (GWDO algorithm, which is a hybrid of GA and WDO, to schedule the household load. For energy cost estimation, combined real-time pricing (RTP and inclined block rate (IBR were used. The proposed algorithm shifts load from peak consumption hours to off-peak hours based on combined pricing scheme and generation from rooftop PV units. Simulation results validate our proposed GWDO algorithm in terms of electricity cost and PAR reduction while considering all three scenarios which we have considered in this work: (1 load scheduling without renewable energy sources (RESs and energy storage system (ESS, (2 load scheduling with RESs, and (3 load scheduling with RESs and ESS. Furthermore, our proposed scheme reduced electricity cost and PAR by 22.5% and 29.1% in scenario 1, 47.7% and 30% in scenario 2, and 49.2% and 35.4% in scenario 3, respectively, as compared to unscheduled electricity consumption.

  17. Identifying electricity-saving potential in rural China: Empirical evidence from a household survey

    International Nuclear Information System (INIS)

    Yu, Yihua; Guo, Jin

    2016-01-01

    In recent years, there has been a fast-growing body of literature examining energy-saving potential in relation to electricity. However, empirical studies focusing on non-Western nations are limited. To fill this gap, this study intends to examine the electricity-saving potential of rural households in China using a unique data set from the China Residential Electricity Consumption Survey (CRECS) in collaboration with the China General Social Survey (CGSS), conducted nationwide at the household level in rural China. We use a stochastic frontier model, which allows us to decompose residential electricity consumption into the minimum necessary amount of consumption based on physical characteristics (e.g. house size, house age, number of televisions or refrigerators) and estimate the consumption slack (i.e. the amount of electricity consumption that could be saved), which depends on various factors. We find that rural households in China are generally efficient in electricity saving and the saving potential is affected by (fast) information feedback and social-demographic characteristics, instead of by the (averaged) electricity price, or energy efficiency labelling signals. In addition, we find no evidence of regional heterogeneity on electricity saving potential for rural households. Policy implications are derived. - Highlights: •Electricity saving potential of rural households in China is examined. •Unique survey data from the CRECS in collaboration with the CGSS are used. •A stochastic frontier model is applied. •Information feedback and social-demographic characteristics matter. •Electricity price or energy efficiency tier rating does not matter.

  18. 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.

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

    Directory of Open Access Journals (Sweden)

    Zahraee Seyed Mojib

    2017-01-01

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

  20. Time series GHG emission estimates for residential, commercial, agriculture and fisheries sectors in India

    Science.gov (United States)

    Mohan, Riya Rachel

    2018-04-01

    Green House Gas (GHG) emissions are the major cause of global warming and climate change. Carbon dioxide (CO2) is the main GHG emitted through human activities, at the household level, by burning fuels for cooking and lighting. As per the 2006 methodology of the Inter-governmental Panel on Climate Change (IPCC), the energy sector is divided into various sectors like electricity generation, transport, fugitive, 'other' sectors, etc. The 'other' sectors under energy include residential, commercial, agriculture and fisheries. Time series GHG emission estimates were prepared for the residential, commercial, agriculture and fisheries sectors in India, for the time period 2005 to 2014, to understand the historical emission changes in 'other' sector. Sectoral activity data, with respect to fuel consumption, were collected from various ministry reports like Indian Petroleum and Natural Gas Statistics, Energy Statistics, etc. The default emission factor(s) from IPCC 2006 were used to calculate the emissions for each activity and sector-wise CO2, CH4, N2O and CO2e emissions were compiled. It was observed that the residential sector generates the highest GHG emissions, followed by the agriculture/fisheries and commercial sector. In the residential sector, LPG, kerosene, and fuelwood are the major contributors of emissions, whereas diesel is the main contributor to the commercial, agriculture and fisheries sectors. CO2e emissions have been observed to rise at a cumulative annual growth rate of 0.6%, 9.11%, 7.94% and 5.26% for the residential, commercial, agriculture and fisheries sectors, respectively. In addition to the above, a comparative study of the sectoral inventories from the national inventories, published by Ministry of Environment, Forest and Climate Change, for 2007 and 2010 was also performed.

  1. Economic impacts of power electronics on electricity distribution systems

    International Nuclear Information System (INIS)

    Duarte, Carlos Henrique; Schaeffer, Roberto

    2010-01-01

    To achieve more efficient energy use, power electronics (PEs) may be employed. However, these introduce nonlinear loads (NLLs) into the system by generating undesired frequencies that are harmonic in relation to (multiples of) the fundamental frequency (60 Hz in Brazil). Consequently, devices using PEs are more efficient but also contribute significantly to degradation of power quality. Besides this, both the conventional rules on design and operation of power systems and the usual premises followed in energy efficiency programs (without mentioning the electricity consumed by the devices themselves) consider the sinusoidal voltage and current waveforms at the fixed fundamental frequency of the power grid. Thus, analysis of electricity consumption reductions in energy efficiency programs that include the use of PEs considers the reduction of kWh to the final consumer but not the additional losses caused by the increase in harmonic distortion. This article contributes to a better understanding of this problem by reporting the results of a case study of the ownership and use of television sets (TV sets) to estimate the economic impacts of residential PEs on a mainly residential electricity distribution system. (author)

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

    Science.gov (United States)

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

    2012-04-30

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

  3. Reducing greenhouse gas emissions by inducing energy conservation and distributed generation from elimination of electric utility customer charges

    International Nuclear Information System (INIS)

    Pearce, Joshua M.; Harris, Paul J.

    2007-01-01

    This paper quantifies the increased greenhouse gas emissions and negative effect on energy conservation (or 'efficiency penalty') due to electric rate structures that employ an unavoidable customer charge. First, the extent of customer charges was determined from a nationwide survey of US electric tariffs. To eliminate the customer charge nationally while maintaining a fixed sum for electric companies for a given amount of electricity, an increase of 7.12% in the residential electrical rate was found to be necessary. If enacted, this increase in the electric rate would result in a 6.4% reduction in overall electricity consumption, conserving 73 billion kW h, eliminating 44.3 million metric tons of carbon dioxide, and saving the entire US residential sector over $8 billion per year. As shown here, these reductions would come from increased avoidable costs, thus leveraging an increased rate of return on investments in energy efficiency, energy conservation behavior, distributed energy generation, and fuel choices. Finally, limitations of this study and analysis are discussed and conclusions are drawn for proposed energy policy changes

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

    Science.gov (United States)

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

    2016-04-01

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

  5. Distributed photovoltaic generation in Brazil: An economic viability analysis of small-scale photovoltaic systems in the residential and commercial sectors

    International Nuclear Information System (INIS)

    Holdermann, Claudius; Kissel, Johannes; Beigel, Jürgen

    2014-01-01

    This paper examines the economic viability of small-scale, grid-connected photovoltaics in the Brazilian residential and commercial sectors after the introduction of the net metering regulation in April 2012. This study uses the discounted cash flow method to calculate the specific investment costs that are necessary for photovoltaic systems to be economically viable for each of the 63 distribution networks in Brazil. We compare these values to the system costs that are estimated in the comprehensive study on photovoltaics that was developed by the Brazilian Association of Electric and Electronic Industries (ABINEE). In our calculation, we utilize the current electricity tariffs, including fees and taxes, which we obtained through telephone interviews and publicly available information. We obtained a second important parameter by simulating PV-systems with the program PV ⁎ Sol at the distribution company headquarters' locations. In our base case scenario that reflects the current situation, in none of the distribution networks photovoltaics is economically viable in either the commercial or residential sectors. We improved the environment for grid-connected photovoltaics in our scenarios by assuming both lower PV-system costs and a lower discount rate to determine the effect on photovoltaics viability. - Highlights: • We calculate the economic viability of photovoltaics in the residential and commercial sectors in Brazil. • The PV ⁎ Sol simulations are carried out at the headquarter locations for the 63 distribution companies. • Currently in none of the distribution networks, photovoltaics is economically viable in either the commercial or residential sectors. • We analyze how the variation of the specific investment costs and of the discount rate affects the economic viability

  6. Family events and the residential mobility of couples

    NARCIS (Netherlands)

    Michielin, F.; Mulder, C.H.

    2008-01-01

    Using data from retrospective surveys carried out in the Netherlands during the early 1990s, we describe how the residential mobility of couples—that is, short-distance moves—is affected by family events and how fertility is affected by residential mobility. The results show that residential moves

  7. Residential Customer Enrollment in Time-based Rate and Enabling Technology Programs: Smart Grid Investment Grant Consumer Behavior Study Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Todd, Annika [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Cappers, Peter [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Goldman, Charles [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2013-05-01

    The U.S. Department of Energy’s (DOE’s) Smart Grid Investment Grant (SGIG) program is working with a subset of the 99 SGIG projects undertaking Consumer Behavior Studies (CBS), which examine the response of mass market consumers (i.e., residential and small commercial customers) to time-varying electricity prices (referred to herein as time-based rate programs) in conjunction with the deployment of advanced metering infrastructure (AMI) and associated technologies. The effort presents an opportunity to advance the electric industry’s understanding of consumer behavior.

  8. Electricity and gas market observatory. 3. quarter 2006

    International Nuclear Information System (INIS)

    2006-01-01

    Since July 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web site (www.cre.fr). It completes the information already published by CRE: practical information for eligible customers: consumer guide, list of suppliers, communications regarding markets running, CRE annual activity report. (author)

  9. Electricity and gas market observatory. 1. quarter 2006

    International Nuclear Information System (INIS)

    2006-01-01

    Since July 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web site (www.cre.fr). It completes the information already published by CRE: practical information for eligible customers: consumer guide, list of suppliers, communications regarding markets running, CRE annual activity report. (author)

  10. Electricity and gas market observatory. 1. 2005 quarter

    International Nuclear Information System (INIS)

    2005-01-01

    Since July 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web site (www.cre.fr). It completes the information already published by CRE: practical information for eligible customers: consumer guide, list of suppliers, communications regarding markets running, CRE annual activity report. (author)

  11. Electricity and gas market observatory. 2. quarter 2006

    International Nuclear Information System (INIS)

    2006-01-01

    Since July 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web site (www.cre.fr). It completes the information already published by CRE: practical information for eligible customers: consumer guide, list of suppliers, communications regarding markets running, CRE annual activity report. (author)

  12. Electricity and gas market observatory. 4. 2005 quarter

    International Nuclear Information System (INIS)

    2005-01-01

    Since July 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web site (www.cre.fr). It completes the information already published by CRE: practical information for eligible customers: consumer guide, list of suppliers, communications regarding markets running, CRE annual activity report. (author)

  13. Electricity and gas market observatory. 2. 2005 quarter

    International Nuclear Information System (INIS)

    2005-01-01

    Since July 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web site (www.cre.fr). It completes the information already published by CRE: practical information for eligible customers: consumer guide, list of suppliers, communications regarding markets running, CRE annual activity report. (author)

  14. Electricity and gas market observatory. 3. 2005 quarter

    International Nuclear Information System (INIS)

    2005-01-01

    Since July 2004, all electricity and gas consumers can be eligible according to their consumption site, as long as all or part of the electricity or gas consumed is designed for non-residential use. The purpose of the observatory is to provide the general public with indicators for monitoring market deregulation. It both covers the wholesale and retail electricity and gas markets in Metropolitan France. This observatory is updated every three months and data are available on CRE web site (www.cre.fr). It completes the information already published by CRE: practical information for eligible customers: consumer guide, list of suppliers, communications regarding markets running, CRE annual activity report. (author)

  15. Energy, cost, and emission end-use profiles of homes: An Ontario (Canada) case study

    International Nuclear Information System (INIS)

    Aydinalp Koksal, Merih; Rowlands, Ian H.; Parker, Paul

    2015-01-01

    Highlights: • Hourly electricity consumption data of seven end-uses from 25 homes are analyzed. • Hourly load, cost, and emission profiles of end-uses are developed and categorized. • Side-by-side analysis of energy, cost, and environmental effects is conducted. • Behaviour and outdoor temperature based end-uses are determined. • Share of each end-use in the total daily load, cost, and emission is determined. - Abstract: Providing information on the temporal distributions of residential electricity end-uses plays a major role in determining the potential savings in residential electricity demand, cost, and associated emissions. While the majority of the studies on disaggregated residential electricity end-use data provided hourly usage profiles of major appliances, only a few of them presented analysis on the effect of hourly electricity consumption of some specific end-uses on household costs and emissions. This study presents side-by-side analysis of energy, cost, and environment effects of hourly electricity consumption of the main electricity end-uses in a sample of homes in the Canadian province of Ontario. The data used in this study are drawn from a larger multi-stakeholder project in which electricity consumption of major end-uses at 25 homes in Milton, Ontario, was monitored in five-minute intervals for six-month to two-year periods. In addition to determining the hourly price of electricity during the monitoring period, the hourly carbon intensity is determined using fuel type hourly generation and the life cycle greenhouse gas intensities specifically determined for Ontario’s electricity fuel mix. The hourly load, cost, and emissions profiles are developed for the central air conditioner, furnace, clothes dryer, clothes washer, dishwasher, refrigerator, and stove and then grouped into eight day type categories. The side-by-side analysis of categorized load, cost, and emission profiles of the seven electricity end-uses provided information on

  16. Potential Evaluation of Energy Supply System in Grid Power System, Commercial, and Residential Sectors by Minimizing Energy Cost

    Science.gov (United States)

    Oda, Takuya; Akisawa, Atushi; Kashiwagi, Takao

    If the economic activity in the commercial and residential sector continues to grow, improvement in energy conversion efficiencies of energy supply systems is necessary for CO2 mitigation. In recent years, the electricity driven hot water heat pump (EDHP) and the solar photo voltaic (PV) are commercialized. The fuel cell (FC) of co-generation system (CGS) for the commercial and residential sector will be commercialized in the future. The aim is to indicate the ideal energy supply system of the users sector, which both manages the economical cost and CO2 mitigation, considering the grid power system. In the paper, cooperative Japanese energy supply systems are modeled by linear-programming. It includes the grid power system and energy systems of five commercial sectors and a residential sector. The demands of sectors are given by the objective term for 2005 to 2025. 24 hours load for each 3 annual seasons are considered. The energy systems are simulated to be minimize the total cost of energy supply, and to be mitigate the CO2 discharge. As result, the ideal energy system at 2025 is shown. The CGS capacity grows to 30% (62GW) of total power system, and the EDHP capacity is 26GW, in commercial and residential sectors.

  17. Analysis and design of a Taguchi-Grey based electricity demand predictor for energy management systems

    International Nuclear Information System (INIS)

    Yao, Albert W.L.; Chi, S.C.

    2004-01-01

    In order to use electricity efficiently, a demand control management system is one of the effective ways to reduce energy consumption and electric bills. An electricity demand control system is used as a means to monitor and manage the usage of electricity effectively. Moreover, it is a useful tool for avoiding penalties beyond the contracted demand value of electricity with the electric power company. In this project, we developed a Taguchi-Grey based predictor to forecast the demand value of electricity on line. In a Grey prediction, the parameter settings are highly relevant to the accuracy of forecasting. A Taguchi method was employed to optimize the parameter settings for the Grey based electricity demand value predictor. Our experimental results show that the optimal parameter settings of the Grey prediction are α=0.4, five point modeling and three minute sampling time of the data acquisition system. The improved Taguchi-Grey based electricity demand predictor in conjunction with the PC based electricity demand control system is a cost effective and efficient means to manage the usage of electricity

  18. Charging Electric Vehicles in Smart Cities: An EVI-Pro Analysis of Columbus, Ohio

    Energy Technology Data Exchange (ETDEWEB)

    Wood, Eric W. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Rames, Clement L. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Muratori, Matteo [National Renewable Energy Lab. (NREL), Golden, CO (United States); Srinivasa Raghavan, Sesha [National Renewable Energy Lab. (NREL), Golden, CO (United States); Young, Stanley E. [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2018-02-09

    With the support of the U.S. Department of Energy's Vehicle Technologies Office, the National Renewable Energy Laboratory (NREL) worked with the City of Columbus, Ohio, to develop a plan for the expansion of the region's network of charging stations to support increased adoption of plug-in electric vehicles (PEVs) in the local market. NREL's Electric Vehicle Infrastructure Projection (EVI-Pro) model was used to generate scenarios of regional charging infrastructure to support consumer PEV adoption. Results indicate that approximately 400 Level 2 plugs at multi-unit dwellings and 350 Level 2 plugs at non-residential locations are required to support Columbus' primary PEV goal of 5,300 PEVs on the road by the end of 2019. This analysis finds that while consumer demand for fast charging is expected to remain low (due to modest anticipated adoption of short-range battery electric vehicles), a minimum level of fast charging coverage across the city is required to ease consumer range anxiety concerns by providing a safety net for unexpected charging events. Sensitivity analyses around some key assumptions have also been performed; of these, consumer preference for PHEV versus BEV and for their electric driving range, ambient conditions, and availability of residential charging at multi-unit dwellings were identified as key determinants of the non-residential PEV charging infrastructure required to support PEV adoption. The results discussed in this report can be leveraged by similar U.S. cities as part of a strategy to accelerate PEV adoption in the light-duty vehicle market.

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

    International Nuclear Information System (INIS)

    Wallis, Hannah; Nachreiner, Malte; Matthies, Ellen

    2016-01-01

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

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

    International Nuclear Information System (INIS)

    Pacheco, Miguel; Lamberts, Roberto

    2013-01-01

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