WorldWideScience

Sample records for monthly electrical demand

  1. Forecasting Monthly Electricity Demands: An Application of Neural Networks Trained by Heuristic Algorithms

    Directory of Open Access Journals (Sweden)

    Jeng-Fung Chen

    2017-03-01

    Full Text Available Electricity demand forecasting plays an important role in capacity planning, scheduling, and the operation of power systems. Reliable and accurate prediction of electricity demands is therefore vital. In this study, artificial neural networks (ANNs trained by different heuristic algorithms, including Gravitational Search Algorithm (GSA and Cuckoo Optimization Algorithm (COA, are utilized to estimate monthly electricity demands. The empirical data used in this study are the historical data affecting electricity demand, including rainy time, temperature, humidity, wind speed, etc. The proposed models are applied to Hanoi, Vietnam. Based on the performance indices calculated, the constructed models show high forecasting performances. The obtained results also compare with those of several well-known methods. Our study indicates that the ANN-COA model outperforms the others and provides more accurate forecasting than traditional methods.

  2. Electric power monthly

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-08-01

    The Energy Information Administration (EIA) prepares the Electric Power Monthly (EPM) for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source, consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead.

  3. Electric power monthly

    Energy Technology Data Exchange (ETDEWEB)

    Smith, Sandra R.; Johnson, Melvin; McClevey, Kenneth; Calopedis, Stephen; Bolden, Deborah

    1992-05-01

    The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed for the North American Electric Reliability Council (NERC) regions. Additionally, statistics by company and plant are published in the EPM on capability of new plants, new generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel.

  4. Saving Electricity and Demand Response

    Science.gov (United States)

    Yamaguchi, Nobuyuki

    A lot of people lost their lives in the tremendous earthquake in Tohoku region on March 11. A large capacity of electric power plants in TEPCO area was also damaged and large scale power shortage in this summer is predicted. In this situation, electricity customers are making great effort to save electricity to avoid planned outage. Customers take actions not only by their selves but also by some customers' cooperative movements. All actions taken actually are based on responses to request form the government or voluntary decision. On the other hand, demand response based on a financial stimulus is not observed as an actual behavior. Saving electricity by this demand response only discussed in the newspapers. In this commentary, the events regarding electricity-saving measure after this disaster are described and the discussions on demand response, especially a raise in power rate, are put into shapes in the context of this electricity supply-demand gap.

  5. Household electricity demand profiles

    DEFF Research Database (Denmark)

    Marszal, Anna Joanna; Heiselberg, Per Kvols; Larsen, Olena Kalyanova

    2016-01-01

    Highlights •A 1-min resolution household electricity load model is presented. •Model adapts a bottom-up approach with single appliance as the main building block. •Load profiles are used to analyse the flexibility potential of household appliances. •Load profiles can be applied in other domains, e...

  6. Projecting Electricity Demand in 2050

    Energy Technology Data Exchange (ETDEWEB)

    Hostick, Donna J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Belzer, David B. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hadley, Stanton W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Markel, Tony [National Renewable Energy Lab. (NREL), Golden, CO (United States); Marnay, Chris [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kintner-Meyer, Michael C. W. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2014-07-01

    This paper describes the development of end-use electricity projections and load curves that were developed for the Renewable Electricity (RE) Futures Study (hereafter RE Futures), which explored the prospect of higher percentages (30% - 90%) of total electricity generation that could be supplied by renewable sources in the United States. As input to RE Futures, two projections of electricity demand were produced representing reasonable upper and lower bounds of electricity demand out to 2050. The electric sector models used in RE Futures required underlying load profiles, so RE Futures also produced load profile data in two formats: 8760 hourly data for the year 2050 for the GridView model, and in 2-year increments for 17 time slices as input to the Regional Energy Deployment System (ReEDS) model. The process for developing demand projections and load profiles involved three steps: discussion regarding the scenario approach and general assumptions, literature reviews to determine readily available data, and development of the demand curves and load profiles.

  7. Electric power monthly, March 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-03-20

    This report for March 1995, presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead.

  8. Electric power monthly, April 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-05-07

    The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

  9. Electric power monthly, May 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-05-25

    The Electric Power Monthly (EPM) is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

  10. Electric power monthly, August 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-08-13

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

  11. Electric power monthly, September 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-09-17

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

  12. Electric power monthly, May 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Statistics by company and plant are published on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

  13. Electric power monthly, April 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-04-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the U.S., Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. This April 1994 issue contains 1993 year-end data and data through January 1994.

  14. Electric power monthly, June 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-06-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended.

  15. Electric power monthly, August 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-08-24

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended.

  16. Electric power monthly, July 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-07-29

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended.

  17. Electric power monthly, May 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-05-01

    This publication presents monthly electricity statistics for a wide audience including Congress, Federal and Stage agencies, the electric utility industry, and the general public. Purpose is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. EIA collected the information to fulfill its data collection and dissemination responsibilities in Federal Energy Administration Act of 1974 (Public Law 93-275) as amended.

  18. Electric Power monthly, November 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-11-01

    This publication presents monthly electricity statistics for a wide audience including Congress, Federal and state agencies, the electric utility industry, and the general public. Purpose is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended.

  19. Electric Power Monthly, July 1990

    Energy Technology Data Exchange (ETDEWEB)

    1990-10-12

    The Electric Power Monthly (EPM) is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost in fuel. Quantity, quality, and cost of fuel data lag the net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour data by 1 month. This difference in reporting appears in the national, Census division, and State level tables. However, at the plant level, all statistics presented are for the earlier month for the purpose of comparison. 12 refs., 4 figs., 48 tabs.

  20. Electric power monthly, July 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-07-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels. Data on quantity, quality, and cost of fossil fuels lag data on net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour by 1 month. This difference in reporting appears in the US, Census division, and State level tables. However, for purposes of comparison, plant-level data are presented for the earlier month.

  1. Electric power monthly, October 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-10-20

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

  2. Electric power monthly, February 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-02-16

    The Electric Power Monthly (EMP) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

  3. Electric power monthly, January 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-01-26

    The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. This publication provides monthly statistics at the US Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels.

  4. Electric Power Monthly, June 1990

    Energy Technology Data Exchange (ETDEWEB)

    1990-09-13

    The EPM is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. Quantity, quality, and cost of fuel data lag the net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour data by 1 month. This difference in reporting appears in the national, Census division, and State level tables. However, at the plant level, all statistics presented are for the earlier month for the purpose of comparison. 40 tabs.

  5. Electricity Demand and Energy Consumption Management System

    CERN Document Server

    Sarmiento, Juan Ojeda

    2008-01-01

    This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

  6. Hawaiian Electric Company Demand Response Roadmap Project

    Energy Technology Data Exchange (ETDEWEB)

    Levy, Roger [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kiliccote, Sila [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2013-01-12

    The objective of this project was to develop a “roadmap” to guide the Hawaiian Electric Company (HECO) demand response (DR) planning and implementation in support of the Hawaii Clean Energy Initiative (HCEI) 70% clean energy goal by 2030.

  7. Energy infrastructure: Mapping future electricity demand

    Science.gov (United States)

    Janetos, Anthony C.

    2016-08-01

    Electricity distribution system planners rely on estimations of future energy demand to build adequate supply, but these are complicated to achieve. An approach that combines spatially resolved projections of population movement and climate change offers a method for building better demand maps to mid-century.

  8. Indications for a changing electricity demand pattern : The temperature dependence of electricity demand in the Netherlands

    NARCIS (Netherlands)

    Hekkenberg, M.; Benders, R. M. J.; Moll, H. C.; Uiterkamp, A. J. M. Schoot

    2009-01-01

    This study assesses the electricity demand pattern in the relatively temperate climate of the Netherlands (latitude 52 degrees 30'N). Daily electricity demand and average temperature during the period from 1970 until 2007 are investigated for possible trends in the temperature dependence of electric

  9. 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.

  10. Indications for a changing electricity demand pattern : The temperature dependence of electricity demand in the Netherlands

    NARCIS (Netherlands)

    Hekkenberg, M.; Benders, R. M. J.; Moll, H. C.; Uiterkamp, A. J. M. Schoot

    This study assesses the electricity demand pattern in the relatively temperate climate of the Netherlands (latitude 52 degrees 30'N). Daily electricity demand and average temperature during the period from 1970 until 2007 are investigated for possible trends in the temperature dependence of

  11. The demand for electricity in Israel

    Energy Technology Data Exchange (ETDEWEB)

    Beenstock, M. [Department of Economics, Hebrew University of Jerusalem, Mount Scopus, 91905 Jerusalem (Israel); Goldin, E.; Nabot, D. [EG Consulting, Hameasef 11, Jerusalem (Israel)

    1999-04-01

    Quarterly data for Israel are used to compare and contrast three dynamic econometric methodologies for estimating the demand for electricity by households and industrial companies. These are the Dynamic Regression Model and two approaches to cointegration (OLS and Maximum Likelihood). Since we find evidence of seasonal unit roots in the data we also test for seasonal cointegration. We find that the scale elasticities are similar in all three approaches but the OLS price elasticities are considerably lower. Moreover, OLS suggests non-cointegration. The paper concludes by stochastically simulating the DRMs to calculate upside-risk in electricity demand. (Copyright (c) 1999 Elsevier Science B.V., Amsterdam. All rights reserved.)

  12. Indonesia’s Electricity Demand Dynamic Modelling

    Science.gov (United States)

    Sulistio, J.; Wirabhuana, A.; Wiratama, M. G.

    2017-06-01

    Electricity Systems modelling is one of the emerging area in the Global Energy policy studies recently. System Dynamics approach and Computer Simulation has become one the common methods used in energy systems planning and evaluation in many conditions. On the other hand, Indonesia experiencing several major issues in Electricity system such as fossil fuel domination, demand - supply imbalances, distribution inefficiency, and bio-devastation. This paper aims to explain the development of System Dynamics modelling approaches and computer simulation techniques in representing and predicting electricity demand in Indonesia. In addition, this paper also described the typical characteristics and relationship of commercial business sector, industrial sector, and family / domestic sector as electricity subsystems in Indonesia. Moreover, it will be also present direct structure, behavioural, and statistical test as model validation approach and ended by conclusions.

  13. Restructuring Electricity Markets when Demand is Uncertain

    DEFF Research Database (Denmark)

    Boom, Anette; Buehler, Stefan

    2006-01-01

    We examine the effects of reorganizing electricity markets on capacity investments, retail prices and welfare when demand is uncertain. We study the following market configurations: (i) integrated monopoly, (ii) integrated duopoly with wholesale trade, and (iii) separated duopoly with wholesale...... are such that the separated (integrated) duopoly with wholesale trade performs best (worst) in terms of welfare.Keywords: Electricity, Investments, Generating Capacities, Vertical Integration, Monopoly and Competition.JEL-Classification: D42, D43, D44, L11, L12, L13...

  14. Modelling and forecasting Turkish residential electricity demand

    Energy Technology Data Exchange (ETDEWEB)

    Dilaver, Zafer, E-mail: Z.dilaver@surrey.ac.uk [Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey, Guildford, GU2 7XH United Kingdom (United Kingdom); The Republic of Turkey Prime Ministry, PK 06573, Ankara (Turkey); Hunt, Lester C [Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey, Guildford, GU2 7XH United Kingdom (United Kingdom)

    2011-06-15

    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.

  15. Economic Rebalancing and Electricity Demand in China

    Energy Technology Data Exchange (ETDEWEB)

    He, Gang [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Advanced Light Source (ALS); Stony Brook Univ., NY (United States); Lin, Jiang [Energy Foundation, Beijing (China); Yuan, Alexandria [Energy Foundation, Beijing (China)

    2015-11-01

    Understanding the relationship between economic growth and electricity use is essential for power systems planning. This need is particularly acute now in China, as the Chinese economy is going through a transition to a more consumption and service oriented economy. This study uses 20 years of provincial data on gross domestic product (GDP) and electricity consumption to examine the relationship between these two factors. We observe a plateauing effect of electricity consumption in the richest provinces, as the electricity demand saturates and the economy develops and moves to a more service-based economy. There is a wide range of forecasts for electricity use in 2030, ranging from 5,308 to 8,292 kWh per capita, using different estimating functions, as well as in existing studies. It is therefore critical to examine more carefully the relationship between electricity use and economic development, as China transitions to a new growth phase that is likely to be less energy and resource intensive. The results of this study suggest that policymakers and power system planners in China should seriously re-evaluate power demand projections and the need for new generation capacity to avoid over-investment that could lead to stranded generation assets.

  16. Electric Power Monthly, August 1990. [Glossary included

    Energy Technology Data Exchange (ETDEWEB)

    1990-11-29

    The Electric Power Monthly (EPM) presents monthly summaries of electric utility statistics at the national, Census division, and State level. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data includes generation by energy source (coal, oil, gas, hydroelectric, and nuclear); generation by region; consumption of fossil fuels for power generation; sales of electric power, cost data; and unusual occurrences. A glossary is included.

  17. Utility Sector Impacts of Reduced Electricity Demand

    Energy Technology Data Exchange (ETDEWEB)

    Coughlin, Katie

    2014-12-01

    This report presents a new approach to estimating the marginal utility sector impacts associated with electricity demand reductions. The method uses publicly available data and provides results in the form of time series of impact factors. The input data are taken from the Energy Information Agency's Annual Energy Outlook (AEO) projections of how the electric system might evolve in the reference case, and in a number of side cases that incorporate different effciency and other policy assumptions. The data published with the AEO are used to define quantitative relationships between demand-side electricity reductions by end use and supply-side changes to capacity by plant type, generation by fuel type and emissions of CO2, Hg, NOx and SO2. The impact factors define the change in each of these quantities per unit reduction in site electricity demand. We find that the relative variation in these impacts by end use is small, but the time variation can be significant.

  18. Managing electricity demand through dynamic pricing

    Science.gov (United States)

    Peddie, Robert A.; Bulleit, Douglas A.

    1985-11-01

    As electrical energy cannot be stored in large quantities with current technology, the energy balance of the electricity supply system has to be maintained continually by adjustments in supply to meet an unrestricted customer demand. Electricity over the projected peak tends to be very expensive, so utilities have sought to restrict demand during such periods to improve internal economic efficiency. The techniques used can be shown to be inefficient and disruptive if widely applied. Due to the way the utility and the regulators have homogenized costs, rate structures provide the customer no useful cost message as motivation to economically control utilization. Advances in microelectronics and communications remove these restrictions by allowing the customer to be informed continually of the cost of a kiloWatt hour (kWh) at the time of use. For the first time, the ensuing control of demand by the customer enables efficient utilization and simplifies the dynamic control of the electric system. This paper describes the method of formulating dynamic prices, the main elements and examples of the system, and how it can be introduced. The enumerated benefits show that greater customer satisfaction and improved economic management of the nation's resources and the utility's assets would result.

  19. Electricity demand for South Korean residential sector

    Energy Technology Data Exchange (ETDEWEB)

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

    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.

  20. 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)

  1. Industrial electricity demand and energy efficiency policy

    OpenAIRE

    Henriksson, Eva

    2010-01-01

    This dissertation consists of an introduction and five self-contained papers addressing the issues of industrial electricity demand and the role of energy efficiency policy. An important context for the study is the increased interest in so-called voluntary energy efficiency programs in which different types of tax exemptions are granted if the participating firms carry out energy efficiency measures following an energy audit. Paper 1 conceptually analyses the cost-effectiveness of voluntary ...

  2. 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.

  3. Use of demand response in electricity markets

    DEFF Research Database (Denmark)

    Singh, Sri Niwas; Østergaard, Jacob

    2010-01-01

    before DR implementation. This paper critically examines the present practices of the DR in the various electricity markets existing in the world including Europe. The prospect of DR in various market levels such as day-ahead (spot) market, hour-ahead market, real time/regulating market and ancillary......Demand response (DR) can provide sufficient measure, if implemented successfully, to provide economic, secure and stable supply to the customers even under the variability of the generated output from renewable energy source such as wind and solar. However, there are several issues to be analyzed...... market is analyzed. This paper also addresses the key issues and challenges in the implementation of DR in the electricity markets....

  4. Electric power monthly, January 1991. [Contains glossary

    Energy Technology Data Exchange (ETDEWEB)

    1991-01-17

    This publication provides monthly statistics at the national, Census division, and state levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, and average revenue per kilowatthour of electricity sold. Data on net generation are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, company and plant level information are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 48 tabs.

  5. Electric power monthly, October 1991. [CONTAINS GLOSSARY

    Energy Technology Data Exchange (ETDEWEB)

    1991-10-11

    This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, statistics at the company and plant level are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 63 tabs.

  6. Electric Power Monthly, September 1991. [CONTAINS GLOSSARY

    Energy Technology Data Exchange (ETDEWEB)

    1991-09-12

    This publication provides monthly statistics at the national, Census division, and state levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed at the North American Electric Reliability Council (NERC) region level. Additionally, statistics at the company and plant level are published in the EPM on capability of new plants, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel. 4 figs., 63 tabs.

  7. Electricity demand forecasting using regression, scenarios and pattern analysis

    CSIR Research Space (South Africa)

    Khuluse, S

    2009-02-01

    Full Text Available The objective of the study is to forecast national electricity demand patterns for a period of twenty years: total annual consumption and understanding seasonal effects. No constraint on the supply of electricity was assumed...

  8. ELECTRICITY DEMAND IN A NORTHERN MEXICO METROPOLITAN ECONOMY

    Directory of Open Access Journals (Sweden)

    Thomas M. Fullerton

    2014-10-01

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

  9. Electric energy demand and supply prospects for California

    Science.gov (United States)

    Jones, H. G. M.

    1978-01-01

    A recent history of electricity forecasting in California is given. Dealing with forecasts and regulatory uncertainty is discussed. Graphs are presented for: (1) Los Angeles Department of Water and Power and Pacific Gas and Electric present and projected reserve margins; (2) California electricity peak demand forecast; and (3) California electricity production.

  10. Future demand for electricity in the Nassau--Suffolk region

    Energy Technology Data Exchange (ETDEWEB)

    Carroll, T.W.; Palmedo, P.F.; Stern, R.

    1977-12-01

    Brookhaven National Laboratory established a new technology for load forecasting for the Long Island Lighting Company and prepared an independent forecast of the demand for electricity in the LILCO area. The method includes: demand for electricity placed in a total energy perspective so that substitutions between electricity and other fuels can be examined; assessment of the impact of conservation, new technology, gas curtailment, and other factors upon demand for electricity; and construction of the probability distribution of the demand for electricity. A detailed analysis of changing levels of demand for electricity, and other fuels, associated with these new developments is founded upon a disaggregated end-use characterization of energy utilization, including space heat, lighting, process energy, etc., coupled to basic driving forces for future demand, namely: population, housing mix, and economic growth in the region. The range of future events covers conservation, heat pumps, solar systems, storage resistance heaters, electric vehicles, extension of electrified rail, total energy systems, and gas curtailment. Based upon cost and other elements of the competition between technologies, BNL assessed the likelihood of these future developments. An optimistic view toward conservation leads to ''low'' demand for electricity, whereas rapid development of new technologies suggests ''high'' demand. (MCW)

  11. Incorporating weather uncertainty in demand forecasts for electricity market planning

    Science.gov (United States)

    Ziser, C. J.; Dong, Z. Y.; Wong, K. P.

    2012-07-01

    A major component of electricity network planning is to ensure supply capability into the future, through generation and transmission development. Accurate forecasts of maximum demand are a crucial component of this process, with future weather conditions having a large impact on forecast accuracy. This article presents an improved methodology for the consideration of weather uncertainty in electricity demand forecasts. Case studies based on the Australian national electricity market are used to validate the proposed methodology.

  12. Descriptive documentation for New Mexico electricity econometric final demand model

    Energy Technology Data Exchange (ETDEWEB)

    Baxter, J.D.; Ben-David, S.

    1981-01-01

    A mathematical model is developed for computing consumption and residential electric power demands for New Mexico. Factors considered in developing the model included: number of electric utility customers, past consumption data; household devices using electric power and their energy efficiencies; climatic conditions; and power costs. (LCL)

  13. Electric power monthly, June 1997 with data for March 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-06-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. 63 tabs.

  14. Electric power monthly, July 1997 with data for April 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-07-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. 57 tabs.

  15. Irrigation and the demand for electricity. Progress report

    Energy Technology Data Exchange (ETDEWEB)

    Maddigan, R. J.; Chern, W. S.; Gallagher, C. A.

    1980-03-01

    In order to anticipate the need for generating capacity, utility planners must estimate the future growth in electricity demand. The need for demand forecasts is no less important for the nation's Rural Electric Cooperatives (RECs) than it is for the investor-owned utilities. The RECs serve an historically agrarian region; therefore, the irrigation sector accounts for a significant portion of the western RECs' total demand. A model is developed of the RECs' demand for electricity used in irrigation. The model is a simultaneous equation system which focuses on both the short-run utilization of electricity in irrigation and the long-run determination of the number of irrigators using electricity. Irrigation demand is described by a set of equations in which the quantity of electricity demanded, the average electricity price, the number of irrigation customers, and the ratio of electricity to total energy used for irrigation are endogenous. The structural equations are estimated using pooled state-level data for the period 1961-1977. In light of the model's results, the impact of changes in relative energy prices on irrigation can be examined.

  16. Policy analysis of electricity demand flexibility

    DEFF Research Database (Denmark)

    Katz, Jonas

    include a clear commitment to develop an "intelligent" energy system that utilises the flexibility potential of the demand side, a coherent policy strategy covering all aspects of the flexibility challenge has not yet been defined. By use of economic models and concepts of policy analysis, this thesis...... failures in the classic economic sense or systemic failures founded in market design, rules and regulations. The analysis covers impacts of failures stemming from incomplete markets for flexibility and inappropriate regulation that distort the observed value or risks of demand flexibility. Furthermore......, it considers various types of transaction costs related to adopting a demand response contract (switching costs) and to activation (monitoring and decision costs). The thesis develops methods to quantify the impacts of these failures and applies them in relation to the Danish case. Switching costs...

  17. U.S. electric utility demand-side management 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-01-01

    The US Electric Utility Demand-Side Management report is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternative Fuels; Energy Information Administration (EIA); US Department of Energy. The report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it relates to the US electric power industry. The first chapter, ``Profile: US Electric Utility Demand-Side Management``, presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs.

  18. 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.

  19. U.S. electric utility demand-side management 1993

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-07-01

    This report presents comprehensive information on electric power industry demand-side management activities in the United States at the national, regional, and utility levels. Data is included for energy savings, peakload reductions, and costs.

  20. U.S. electric utility demand-side management 1993

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-07-01

    This report presents comprehensive information on electric power industry demand-side management activities in the United States at the national, regional, and utility levels. Data is included for energy savings, peakload reductions, and costs.

  1. Demand side management of electric car charging

    DEFF Research Database (Denmark)

    Finn, P.; Fitzpatrick, C.; Connolly, David

    2012-01-01

    the purchase of alternative energy vehicles in an effort to achieve 10% EV (electric vehicle) penetration in the country's road fleet by 2020. The replacement of ICE (internal combustion engine) vehicles with EV equivalents poses challenges for grid operators while simultaneously offering opportunities...

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

    Directory of Open Access Journals (Sweden)

    Thamae Retselisitsoe Isaiah

    2015-04-01

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

  3. Turkey opens electricity markets as demand grows

    Energy Technology Data Exchange (ETDEWEB)

    McKeigue, J.; Da Cunha, A.; Severino, D. [Global Business Reports (United States)

    2009-06-15

    Turkey's growing power market has attracted investors and project developers for over a decade, yet their plans have been dashed by unexpected political or financial crises or, worse, obstructed by a lengthy bureaucratic approval process. Now, with a more transparent retail electricity market, government regulators and investors are bullish on Turkey. Is Turkey ready to turn the power on? This report closely examine Turkey's plans to create a power infrastructure capable of providing the reliable electricity supplies necessary for sustained economic growth. It was compiled with on-the-ground research and extensive interview with key industrial and political figures. Today, hard coal and lignite account for 21% of Turkey's electricity generation and gas-fired plants account for 50%. The Alfin Elbistan-B lignite-fired plant has attracted criticism for its lack of desulfurization units and ash dam facilities that have tarnished the industry's image. A 1,100 MW hard-coal fired plant using supercritical technology is under construction. 9 figs., 1 tab.

  4. Electric power monthly January 1997 with data for October 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-01-01

    This publication presents monthly electricity statistical data. Information is included on U.S. electric utility net generation, consumption of fossil fuels, and fossil-fuel stocks; U.S. electric utility sales; receipts and cost of fossil fuels at utilities; and monthly plant aggregates. A glossary is included.

  5. Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices

    Science.gov (United States)

    Chassin, David P.; Donnelly, Matthew K.; Dagle, Jeffery E.

    2006-12-12

    Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

  6. An econometric analysis of electricity demand in Japan

    OpenAIRE

    1997-01-01

    The use of electricity touches every aspect of daily life. The electrification of the Japanese economy has led to a better quality of life and contributed to the improvement of economic efficiency. While the demand and supply of electricity is one of ...

  7. 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.

  8. Simulation of annual electric lighting demand using various occupancy profiles

    DEFF Research Database (Denmark)

    Iversen, Anne; Andersen, Philip Hvidthøft Delff; Svendsen, Svend

    2013-01-01

    This paper describes an investigation of the effect on electric lighting demand of applying occupancy models of various resolution to climate-based daylight modelling. The lighting demand was evaluated for a building zone with the occupant always present, with occupancy corresponding to absence...... factors, based on an estimated annual mean occupancy, based on estimated 1-hour mean occupancy, and based on 2-min occupancy intervals. The results showed little difference in the annual electric lighting demand when the same occupancy profile was used every day, as opposed to when profiles were used...... where occupancy varied every day. Furthermore, the results showed that annual electric lighting demand was evaluated slightly conservatively when a mean absence factor was applied as opposed to using dynamic occupancy profiles....

  9. US electric utility demand-side management, 1994

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-26

    The report presents comprehensive information on electric power industry demand-side management (DSM) activities in US at the national, regional, and utility levels. Objective is provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it relates to the US electric power industry. The first chapter, ``Profile: US Electric Utility Demand-Side Management,`` presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions, and costs attributable to DSM.

  10. Price-elastic demand in deregulated electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Siddiqui, Afzal S.

    2003-05-01

    The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

  11. U.S. electric utility demand-side management 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-01

    The US Electric Utility Demand-Side Management report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it related to the US electric power industry. The first chapter, ``Profile: U.S. Electric Utility Demand-Side Management,`` presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs.

  12. Global monthly water stress: 2. Water demand and severity of water stress

    OpenAIRE

    Wada, Yoshihide; Van Beek, L. P. H.; Viviroli, Daniel; Dürr, Hans H.; Weingartner, Rolf; Bierkens, Marc F. P.

    2011-01-01

    This paper assesses global water stress at a finer temporal scale compared to conventional assessments. To calculate time series of global water stress at a monthly time scale, global water availability, as obtained from simulations of monthly river discharge from the companion paper, is confronted with global monthly water demand. Water demand is defined here as the volume of water required by users to satisfy their needs. Water demand is calculated for the benchmark year of 2000 and contras...

  13. Global monthly water stress: 2. Water demand and severity of water stress

    OpenAIRE

    Wada, Yoshihide; Beek, L. P. H.; Viviroli, Daniel; Dürr, Hans H; Weingartner, Rolf; Bierkens, Marc F.P.

    2011-01-01

    This paper assesses global water stress at a finer temporal scale compared to conventional assessments. To calculate time series of global water stress at a monthly time scale, global water availability, as obtained from simulations of monthly river discharge from the companion paper, is confronted with global monthly water demand. Water demand is defined here as the volume of water required by users to satisfy their needs. Water demand is calculated for the benchmark year of 2000 and contras...

  14. Effects of the drought on California electricity supply and demand

    Energy Technology Data Exchange (ETDEWEB)

    Benenson, P.; Greene, B.; Kahn, E.; Krieg, B.; Lasater, I.; Ritschard, R.; Ruderman, H.; Sathaye, J.; Sextro, R.; Siri, W.; Vincent, L.

    1977-06-01

    At the end of the driest year on record, California faces water shortages whose impacts will be felt with progressive severity through the summer and fall of 1977. Electric power is not entirely exempt from these impacts and could, if severly affected, compound the direct distresses of the drought. Each of the major California electric utility companies has forecasted the short-term effects on electricity supply and demand in its service area. The study reported here undertook an independent analysis to provide a statewide assessment of impacts and remedial actions and to develop additional analytical tools and data for these purposes. The study examined various aspects of the drought as it relates to electricity supply and demand, reliability of supply to meet summer peak loads, the efficacy of conservation measures, and probable increases in power plant emissions and cost of generating electricity. The results of the study, based in part on the 1977 electricity supply and demand projections submitted by the four utilities to the California Energy Resources Conservation and Development Commission (CERCDC), support the utilities' conclusions that the three southern California utilities have sufficient reserve capacity and fuel to meet their own needs and to assist PG and E in meeting its load demand with little loss of reliability. However, to achieve this the utilities in their submissions have had to assume: 1) full coordination among the utilities; and 2) no air pollution limitations on electricity generation in the South Coast Air Basin. 32 references.

  15. Electric power monthly, March 1998 with data for December 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-03-01

    The Electric Power Monthly (EPM) provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. 63 tabs.

  16. Electric power monthly, December 1998 with data for September 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-12-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities. 57 tabs.

  17. Electric Power Monthly, September 1995: With data for June 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-09-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

  18. Electric power monthly: April 1996, with data for January 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-04-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatt hour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. 64 tabs.

  19. Electric power monthly, September 1990. [Glossary included

    Energy Technology Data Exchange (ETDEWEB)

    1990-12-17

    The purpose of this report is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues. The power plants considered include coal, petroleum, natural gas, hydroelectric, and nuclear power plants. Data are presented for power generation, fuel consumption, fuel receipts and cost, sales of electricity, and unusual occurrences at power plants. Data are compared at the national, Census division, and state levels. 4 figs., 52 tabs. (CK)

  20. Demand response in experimental electricity markets

    Directory of Open Access Journals (Sweden)

    Barreda-Tarrazona, Iván

    2012-03-01

    Full Text Available We study consumers’ behavior in an experimental electricity market. Subjects make decisions concerning the quantity of electric energy they want to consume in three different pricing environments. In the baseline framework, they decide under a system of fixed prices, invariant to consumption schedule as well as to network restrictions. The other two environments correspond to dynamic pricing systems combined with incentives that aim at cutting energy consumption in a number of selected situations characterized by high network congestion. In such situations, in the first environment subjects get a bonus if they reduce their peak consumption below a certain level, while in the second one, consumers are sanctioned for consuming in peak times. From a social welfare perspective, our experimental data confirm that a dynamic system for prices is more efficient than a fixed one. Moreover, a dynamic scheme with sanctions, although less preferred by consumers, is more effective than the one with bonuses in order to reduce peak consumption. Dynamic pricing with bonuses reaches a good balance between efficiency and consumer acceptance.

    Estudiamos el comportamiento de los consumidores en un mercado de electricidad diseñado en el laboratorio. Los sujetos experimentales toman decisiones sobre la cantidad de electricidad que desean consumir en tres contextos diferentes. En el tratamiento base, los consumidores deciden bajo un sistema de precios fijos, en el que el precio es invariable tanto a la franja horaria de consumo como a las restricciones de la red. Los otros dos contextos corresponden a sistemas dinámicos de precios combinados con incentivos cuyo objetivo es la reducción del consumo en algunas situaciones seleccionadas caracterizadas por una alta congestión de la red. En estas situaciones, en el primer contexto, se bonifica la reducción del consumo en la hora punta por debajo de cierto nivel, mientras que en el segundo, los consumidores

  1. Electric power monthly, February 1999 with data for November 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-02-01

    The Electric Power Monthly presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Statistics are provided for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatt-hour of electricity sold.

  2. Impacts of Demand-Side Resources on Electric Transmission Planning

    Energy Technology Data Exchange (ETDEWEB)

    Hadley, Stanton W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Sanstad, Alan H. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-01-01

    Will demand resources such as energy efficiency (EE), demand response (DR), and distributed generation (DG) have an impact on electricity transmission requirements? Five drivers for transmission expansion are discussed: interconnection, reliability, economics, replacement, and policy. With that background, we review the results of a set of transmission studies that were conducted between 2010 and 2013 by electricity regulators, industry representatives, and other stakeholders in the three physical interconnections within the United States. These broad-based studies were funded by the US Department of Energy and included scenarios of reduced load growth due to EE, DR, and DG. While the studies were independent and used different modeling tools and interconnect-specific assumptions, all provided valuable results and insights. However, some caveats exist. Demand resources were evaluated in conjunction with other factors, and limitations on transmission additions between scenarios made understanding the role of demand resources difficult. One study, the western study, included analyses over both 10- and 20-year planning horizons; the 10-year analysis did not show near-term reductions in transmission, but the 20-year indicated fewer transmission additions, yielding a 36percent capital cost reduction. In the eastern study the reductions in demand largely led to reductions in local generation capacity and an increased opportunity for low-cost and renewable generation to export to other regions. The Texas study evaluated generation changes due to demand, and is in the process of examining demand resource impacts on transmission.

  3. The Impact of Sub-Metering on Condominium Electricity Demand

    OpenAIRE

    Donald N. Dewees; Trevor Tombe

    2010-01-01

    Growing concern about the environmental effects of electricity generation is renewing demands for electricity conservation and efficient usage. With a substantial fraction of the population insulated from energy price signals in bulk-metered apartment and condominium buildings, some jurisdictions are considering mandatory metering of individual suites. This study analyses data from a Toronto condominium building to assess the impacts of suite (or sub-) metering. We estimate the aggregate redu...

  4. Electric power monthly, May 1995 with data for February 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-05-24

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisiommakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuel, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  5. Electric power monthly, August 1998, with data for May 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-08-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. 9 refs., 57 tabs.

  6. Electric power monthly, March 1999 with data for December 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be sued in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. 63 tabs.

  7. Electric power monthly, December 1997 with data for September 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 63 tabs.

  8. Electric power monthly, May 1998, with data for February 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-05-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974. The EPM provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. 30 refs., 58 tabs.

  9. Household Characteristics That Influence Simple Household Demand on Electricity

    Directory of Open Access Journals (Sweden)

    Tongam Sihol Nababan

    2015-08-01

    Full Text Available This research aims to analyze the characteristics of households that affect the electric energy consumption of simple households. The second objective is to analyze the probability of each of the factors affecting the electricity energy consumption of small household. The research was conducted in Medan City in the period of March 2014 to November 2014 with samples of 143 small households, the customer of PT. PLN (Persero Medan, which use the power of electricity for TR-1 /450VA. Data were analyzed by using the logistic regression model. The estimation results indicated that (1 the higher the willingnes to pay (WTP of households, the higher the tendency to consume elec trical energy per month. (2 the closer the households residence to the city center, the higher the tendency to consume electrical energy than of the households residence in the suburbs, (3 increasingly unfavourable response to electrical quality, the higher the opportunity to consume a greater electric power monthly.

  10. Using Seasonal Forecasts for medium-term Electricity Demand Forecasting on Italy

    Science.gov (United States)

    De Felice, M.; Alessandri, A.; Ruti, P.

    2012-12-01

    Electricity demand forecast is an essential tool for energy management and operation scheduling for electric utilities. In power engineering, medium-term forecasting is defined as the prediction up to 12 months ahead, and commonly is performed considering weather climatology and not actual forecasts. This work aims to analyze the predictability of electricity demand on seasonal time scale, considering seasonal samples, i.e. average on three months. Electricity demand data has been provided by Italian Transmission System Operator for eight different geographical areas, in Fig. 1 for each area is shown the average yearly demand anomaly for each season. This work uses data for each summer during 1990-2010 and all the datasets have been pre-processed to remove trends and reduce the influence of calendar and economic effects. The choice of focusing this research on the summer period is due to the critical peaks of demand that power grid is subject during hot days. Weather data have been included considering observations provided by ECMWF ERA-INTERIM reanalyses. Primitive variables (2-metres temperature, pressure, etc) and derived variables (cooling and heating degree days) have been averaged for summer months. A particular attention has been given to the influence of persistence of positive temperature anomaly and a derived variable which count the number of consecutive days of extreme-days has been used. Electricity demand forecast has been performed using linear and nonlinear regression methods and stepwise model selection procedures have been used to perform a variable selection with respect to performance measures. Significance tests on multiple linear regression showed the importance of cooling degree days during summer in the North-East and South of Italy with an increase of statistical significance after 2003, a result consistent with the diffusion of air condition and ventilation equipment in the last decade. Finally, using seasonal climate forecasts we evaluate

  11. Analyses of demand response in Denmark[Electricity market

    Energy Technology Data Exchange (ETDEWEB)

    Moeller Andersen, F.; Grenaa Jensen, S.; Larsen, Helge V.; Meibom, P.; Ravn, H.; Skytte, K.; Togeby, M.

    2006-10-15

    Due to characteristics of the power system, costs of producing electricity vary considerably over short time intervals. Yet, many consumers do not experience corresponding variations in the price they pay for consuming electricity. The topic of this report is: are consumers willing and able to respond to short-term variations in electricity prices, and if so, what is the social benefit of consumers doing so? Taking Denmark and the Nord Pool market as a case, the report focuses on what is known as short-term consumer flexibility or demand response in the electricity market. With focus on market efficiency, efficient allocation of resources and security of supply, the report describes demand response from a micro-economic perspective and provides empirical observations and case studies. The report aims at evaluating benefits from demand response. However, only elements contributing to an overall value are presented. In addition, the analyses are limited to benefits for society, and costs of obtaining demand response are not considered. (au)

  12. Analyses of demand response in Denmark[Electricity market

    Energy Technology Data Exchange (ETDEWEB)

    Moeller Andersen, F.; Grenaa Jensen, S.; Larsen, Helge V.; Meibom, P.; Ravn, H.; Skytte, K.; Togeby, M.

    2006-10-15

    Due to characteristics of the power system, costs of producing electricity vary considerably over short time intervals. Yet, many consumers do not experience corresponding variations in the price they pay for consuming electricity. The topic of this report is: are consumers willing and able to respond to short-term variations in electricity prices, and if so, what is the social benefit of consumers doing so? Taking Denmark and the Nord Pool market as a case, the report focuses on what is known as short-term consumer flexibility or demand response in the electricity market. With focus on market efficiency, efficient allocation of resources and security of supply, the report describes demand response from a micro-economic perspective and provides empirical observations and case studies. The report aims at evaluating benefits from demand response. However, only elements contributing to an overall value are presented. In addition, the analyses are limited to benefits for society, and costs of obtaining demand response are not considered. (au)

  13. Households’ hourly electricity consumption and peak demand in Denmark

    DEFF Research Database (Denmark)

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

    2017-01-01

    to a considerable introduction of electric vehicles and individual heat pumps, household consumption is expected to increase considerably, especially peak hour consumption is expected to increase. Next the paper presents results from a new experiment where household customers are given economic and/or environmental......The electrification of residential energy demand for heating and transportation is expected to increase peak load and require additional generation and transmission capacities. Electrification also provides an opportunity to increase demand response. With a focus on household electricity...... incentives to shift consumption to or away from specified hours. The experiment focuses on the present classic consumption and shows that household customers do react to incentives, but today the flexibility of the classic consumption is limited. Considering electric vehicles and individual heat pumps...

  14. Electric power monthly: February 1995, with data for November 1994

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-02-22

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. 64 tabs.

  15. Electric power monthly, February 1998 with data for November 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-02-01

    The Electric Power Monthly (EPM) provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 63 tabs.

  16. Electric power monthly: March 1996, with data for December 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-03-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. 69 tabs.

  17. Electric power monthly, April 1998, with data for January 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-04-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. 63 tabs.

  18. Electric power monthly, July 1998 with data for April 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-07-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended.

  19. Electric power monthly with data for November 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-02-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended.

  20. Electric power monthly, May 1997 with data for February 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-05-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. 63 tabs.

  1. Electric power monthly, January 1999 with data for October 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-01-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. 1 fig., 63 tabs.

  2. Climate, extreme heat, and electricity demand in California

    Energy Technology Data Exchange (ETDEWEB)

    Miller, N.L.; Hayhoe, K.; Jin, J.; Auffhammer, M.

    2008-04-01

    Climate projections from three atmosphere-ocean climate models with a range of low to mid-high temperature sensitivity forced by the Intergovernmental Panel for Climate Change SRES higher, middle, and lower emission scenarios indicate that, over the 21st century, extreme heat events for major cities in heavily air-conditioned California will increase rapidly. These increases in temperature extremes are projected to exceed the rate of increase in mean temperature, along with increased variance. Extreme heat is defined here as the 90 percent exceedance probability (T90) of the local warmest summer days under the current climate. The number of extreme heat days in Los Angeles, where T90 is currently 95 F (32 C), may increase from 12 days to as many as 96 days per year by 2100, implying current-day heat wave conditions may last for the entire summer, with earlier onset. Overall, projected increases in extreme heat under the higher A1fi emission scenario by 2070-2099 tend to be 20-30 percent higher than those projected under the lower B1 emission scenario, ranging from approximately double the historical number of days for inland California cities (e.g. Sacramento and Fresno), up to four times for previously temperate coastal cities (e.g. Los Angeles, San Diego). These findings, combined with observed relationships between high temperature and electricity demand for air-conditioned regions, suggest potential shortfalls in transmission and supply during T90 peak electricity demand periods. When the projected extreme heat and peak demand for electricity are mapped onto current availability, maintaining technology and population constant only for demand side calculations, we find the potential for electricity deficits as high as 17 percent. Similar increases in extreme heat days are suggested for other locations across the U.S. southwest, as well as for developing nations with rapidly increasing electricity demands. Electricity response to recent extreme heat events, such

  3. Deregulation of Electricity Market and Drivers of Demand for Electrical Energy in Industry

    Directory of Open Access Journals (Sweden)

    Bojnec Štefan

    2016-09-01

    Full Text Available This paper investigates deregulation of electricity market focusing on electricity prices and drivers of demand for electrical energy in industry in Slovenia. The patterns in evolution of real electricity price developments and the three main components of the electricity price are calculated: liberalized market share for purchased electricity price, regulated infrastructure share for use of electricity network grids and mandatory state charges in the sale of electricity (duty, excise duty and value-added tax. To calculate the real value of electricity prices, producer price index of industrial commodities for electricity prices in industry is used as deflator and implicit deflator of gross domestic product for the size of the economy. In the empirical econometric part is used regression analysis for the amount electricity consumption in the industry depending on the real gross domestic product, direct and cross-price elasticity for natural gas prices in the industry. The results confirmed volatility in real electricity price developments with their increasing tendency and the increasing share of different taxes and state charges in the electricity prices for industry. Demand for electrical energy in industry is positively associated with gross domestic product and price of natural gas as substitute for electrical energy in industry use, and negatively associated with prices of electrical energy for industry.

  4. Electric power monthly, July 1999, with data for April 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-07-01

    The Electric Power Division, Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the Electric Power Monthly (EPM). This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatt hour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 1 fig., 64 tabs.

  5. Electric power monthly, December 1996 with data for September 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-12-01

    The report presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatt hour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 57 tabs.

  6. Electric power monthly, December 1995 with data for September 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-14

    This publication presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. Its purpose is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. EIA collected the information to fulfill its data collection and dissemination responsibilities. (User instructions on EIA`s electronic publishing system are included, as is a glossary.)

  7. Electric power monthly, November 1998, with data for August 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-11-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The Electric Power Division; Office of Coal, Nuclear, Electric and Alternate fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 57 tabs.

  8. Electric power monthly: October 1995, with data for July 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-10-19

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  9. Electric power monthly, June 1999, with data for March 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-06-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 57 tabs.

  10. Electric power monthly, October 1998, with data for July 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-10-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 57 tabs.

  11. Electric power monthly, September 1998, with data for June 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-09-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  12. Electric power monthly, April 1999 with data for January 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-04-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. The Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  13. Electric Power Monthly with data for July 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-10-01

    This publication provides monthly statistics at the state, census division, and U.S. levels for net generation; fossil fuel consumption and stocks, quantity, and quality of fossil fuels; cost of fossil fuels; electricity retail sales; associated revenue; and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council regions. Statistics on net generation are published by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The monthly update is summarized, and industry developments are briefly described. 57 tabs.

  14. Electric power monthly. June 1966 with data for March 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-06-01

    This publication presents monthly electricity statistics for a wide audience including Congress, Federal and state agencies, the electric utility industry, and the general public, with the purpose of providing energy decisionmakers with accurate, timely information that may be used in forming various perspectives on electric issues that lie ahead. EIA collected the information in this report to fulfill its data collection and dissemination responsibilities (Public Law 93-275). A section on upgrading transmission capacity for wholesale electric power trade is included. The tables include US electric power at a glance, utility net generation, utility consumption of fossil fuels, fossil-fuel stocks/receipts/cost at utilities, utility sales/revenue/revenue per kWh, and monthly plant aggregates.

  15. Aligning PEV Charging Times with Electricity Supply and Demand

    Energy Technology Data Exchange (ETDEWEB)

    Hodge, Cabell [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-06-05

    Plug-in electric vehicles (PEVs) are a growing source of electricity consumption that could either exacerbate supply shortages or smooth electricity demand curves. Extensive research has explored how vehicle-grid integration (VGI) can be optimized by controlling PEV charging timing or providing vehicle-to-grid (V2G) services, such as storing energy in vehicle batteries and returning it to the grid at peak times. While much of this research has modeled charging, implementation in the real world requires a cost-effective solution that accounts for consumer behavior. To function across different contexts, several types of charging administrators and methods of control are necessary to minimize costs in the VGI context.

  16. Electric power monthly, May 1999, with data for February 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-05-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatt hour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 64 tabs.

  17. Electric power monthly: October 1996, with data for July 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-10-01

    The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. This report contains approximately 60 tables.

  18. Demand side management in recycling and electricity retail pricing

    Science.gov (United States)

    Kazan, Osman

    This dissertation addresses several problems from the recycling industry and electricity retail market. The first paper addresses a real-life scheduling problem faced by a national industrial recycling company. Based on their practices, a scheduling problem is defined, modeled, analyzed, and a solution is approximated efficiently. The recommended application is tested on the real-life data and randomly generated data. The scheduling improvements and the financial benefits are presented. The second problem is from electricity retail market. There are well-known patterns in daily usage in hours. These patterns change in shape and magnitude by seasons and days of the week. Generation costs are multiple times higher during the peak hours of the day. Yet most consumers purchase electricity at flat rates. This work explores analytic pricing tools to reduce peak load electricity demand for retailers. For that purpose, a nonlinear model that determines optimal hourly prices is established based on two major components: unit generation costs and consumers' utility. Both are analyzed and estimated empirically in the third paper. A pricing model is introduced to maximize the electric retailer's profit. As a result, a closed-form expression for the optimal price vector is obtained. Possible scenarios are evaluated for consumers' utility distribution. For the general case, we provide a numerical solution methodology to obtain the optimal pricing scheme. The models recommended are tested under various scenarios that consider consumer segmentation and multiple pricing policies. The recommended model reduces the peak load significantly in most cases. Several utility companies offer hourly pricing to their customers. They determine prices using historical data of unit electricity cost over time. In this dissertation we develop a nonlinear model that determines optimal hourly prices with parameter estimation. The last paper includes a regression analysis of the unit generation cost

  19. Dispatchable Hydrogen Production at the Forecourt for Electricity Demand Shaping

    Directory of Open Access Journals (Sweden)

    Abdulla Rahil

    2017-10-01

    Full Text Available Environmental issues and concerns about depletion of fossil fuels have driven rapid growth in the generation of renewable energy (RE and its use in electricity grids. Similarly, the need for an alternative to hydrocarbon fuels means that the number of fuel cell vehicles is also expected to increase. The ability of electricity networks to balance supply and demand is greatly affected by the variable, intermittent output of RE generators; however, this could be relieved using energy storage and demand-side response (DSR techniques. One option would be production of hydrogen by electrolysis powered from wind and solar sources. The use of tariff structures would provide an incentive to operate electrolysers as dispatchable loads. The aim of this paper is to compare the cost of hydrogen production by electrolysis at garage forecourts in Libya, for both dispatchable and continuous operation, without interruption of fuel supply to vehicles. The coastal city of Derna was chosen as a case study, with the renewable energy being produced via a wind turbine farm. Wind speed was analysed in order to determine a suitable turbine, then the capacity was calculated to estimate how many turbines would be needed to meet demand. Finally, the excess power was calculated, based on the discrepancy between supply and demand. The study looked at a hydrogen refueling station in both dispatchable and continuous operation, using an optimisation algorithm. The following three scenarios were considered to determine whether the cost of electrolytic hydrogen could be reduced by a lower off-peak electricity price. These scenarios are: Standard Continuous, in which the electrolyser operates continuously on a standard tariff of 12 p/kWh; Off-peak Only, in which the electrolyser operates only during off-peak periods at the lower price of 5 p/kWh; and 2-Tier Continuous, in which the electrolyser operates continuously on a low tariff at off-peak times and a high tariff at other

  20. Reducing Electricity Demand Peaks by Scheduling Home Appliances Usage

    DEFF Research Database (Denmark)

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

    2011-01-01

    (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....... 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...

  1. Electric power monthly, August 1996, with data for May 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-08-09

    This publication presents monthly electricity statistics for a wide audience including Congress, Federal and state agencies, the electric utility industry, and the general public. Purpose is to provide energy decisionmakers with accurate, timely information that may be used in forming various perspectives on electric issues that lie ahead. EIA collected the information to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974. Statistics are presented in this publication on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  2. Electric power monthly with data for June 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-09-01

    This publication provides monthly statistics at the state, census division, and U.S. levels for net generation; fossil fuel consumption and stocks, quantity, and quality of fossil fuels; cost of fossil fuels; electricity retail sales; associated revenue; and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity, and cost of fossil fuels are also displayed for the North American Electric Reliability Council regions. Statistics on net generation by energy source and capability of new generating units by company and plant are also included. A section is included in the report which summarizes major industry developments. 1 fig., 64 tabs.

  3. Electric power monthly with data for January 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-04-01

    The Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and U.S. levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  4. Electric power monthly with data for October 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-01-01

    The Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and U.S. levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  5. Electric power monthly, September 1996, with data for June 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-09-01

    The Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and U.S. levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatt hour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  6. Electric power monthly with data for December 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    The Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and U.S. levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant.

  7. Electric power monthly, June 1995 with data for March 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-06-19

    The Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy prepares the EPM. This publication provides monthly statistics at the State, Census division, and US levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 68 tabs.

  8. Electric Power Demand Forecasting: A Case Study of Lucknow City

    Directory of Open Access Journals (Sweden)

    A.K. Bhardwaj and R.C. Bansal

    2011-03-01

    Full Text Available The study of forecasting identifies the urgent need for special attention in evolving effective energy policies to alleviate an energy famine in the near future. Since power demand is increasing day by day in entire world and it is also one of the fundamental infrastructure input for the development, its prospects and availability sets significant constraints on the socio-economic growth of every person as well as every country. A care full long-term power plan is imperative for the development of power sector. This need assumes more importance in the state of Uttar Pradesh where the demand for electrical energy is growing at a rapid pace. This study analyses the requirement of electricity with respect to the future population for the major forms of energy in the Lucknow city in Uttar Pradesh state of India. A model consisting of significant key energy indicators have been used for the estimation. Model wherever required refined in the second stage to remove the effect of auto-correlation. The accuracy of the model has been checked using standard statistical techniques and validated against the past data by testing for ‘expost’ forecast accuracy.

  9. Electric power monthly with data for October 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    This publication provides monthly statistics at the State, Census division, and U.S. levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council regions. Statistics are published on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. A monthly utility update and summary of industry developments are also included. 63 tabs., 1 fig.

  10. Electric power monthly with data for August 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-11-01

    This publication provides monthly statistics at the state, census division, and U.S. levels for net generation; fossil fuel consumption and stocks, quantity, and quality of fossil fuels; cost of fossil fuels; electricity retail sales; associated revenue; and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council regions. Statistics on net generation are published by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The monthly update is summarized, and industry developments are briefly described. 1 fig., 63 tabs.

  11. Electric Power monthly, November 1995 with data for August 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-11-15

    This report presents monthly electricity statistics, with the purpose of providing energy decisionmakers with accurate, timely information that may be used in forming various perspectives on electric issues that lie ahead. EIA collected the information in this report to fulfill its data collection and dissemination responsibilities; the information are from six data sources: forms EIA-759, FERC Form 423, EIA-826, EIA-861, EIA-860, and Form OE-417R. An article on reclicensing and environmental issues affecting hydropower is included. Then the statistics are presented in: US electric power at a glance, utility net generation, utility consumption of fossil fuels, fossil-fuel stocks at utilities, fossil fuel receipts and costs, utility sales/revenue/average revenue per kWh, and monthly plant aggregates. Finally, nonutility power producer statistics, bibliography, technical notes, and a glossary are presented.

  12. Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand

    Energy Technology Data Exchange (ETDEWEB)

    Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

    2012-06-01

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  13. Renewable Electricity Futures Study. Volume 3. End-Use Electricity Demand

    Energy Technology Data Exchange (ETDEWEB)

    Hostick, Donna [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Belzer, David B. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hadley, Stanton W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Markel, Tony [National Renewable Energy Lab. (NREL), Golden, CO (United States); Marnay, Chris [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kintner-Meyer, Michael [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2012-06-15

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%–90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

  14. Electric power monthly, June 1998, with data for March 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-06-01

    The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. This publication provides monthly statistics at the State, Census division, and Us levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity retail sales, associated revenue, and average revenue per kilowatthour of electricity sold. In addition, data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source; consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. 5 refs., 57 tabs.

  15. Demand Response in U.S. Electricity Markets: Empirical Evidence

    Energy Technology Data Exchange (ETDEWEB)

    Cappers, Peter; Goldman, Charles; Kathan, David

    2009-06-01

    Empirical evidence concerning demand response (DR) resources is needed in order to establish baseline conditions, develop standardized methods to assess DR availability and performance, and to build confidence among policymakers, utilities, system operators, and stakeholders that DR resources do offer a viable, cost-effective alternative to supply-side investments. This paper summarizes the existing contribution of DR resources in U.S. electric power markets. In 2008, customers enrolled in existing wholesale and retail DR programs were capable of providing ~;;38,000 MW of potential peak load reductions in the United States. Participants in organized wholesale market DR programs, though, have historically overestimated their likely performance during declared curtailments events, but appear to be getting better as they and their agents gain experience. In places with less developed organized wholesale market DR programs, utilities are learning how to create more flexible DR resources by adapting legacy load management programs to fit into existing wholesale market constructs. Overall, the development of open and organized wholesale markets coupled with direct policy support by the Federal Energy Regulatory Commission has facilitated new entry by curtailment service providers, which has likely expanded the demand response industry and led to product and service innovation.

  16. Linear-programming approach to electricity demand-curtailment planning

    Energy Technology Data Exchange (ETDEWEB)

    Allentuck, J; Carroll, O; Schnader, M

    1980-05-01

    Curtailment planning at a generally rudimentary level has been undertaken by the governments of some twenty states. Many utilities have demand-curtailment plans, however, these are often incorporated in plans for meeting capacity shortages. In at least five states, there are apparently no curtailment plans either at the state-government level or at the utility level. Moreover, none of the existing electricity demand curtailment plans examined included an explicit statement of the planners' objective in arriving at a specified sharing of the burdens of curtailment among consumer classes. Yet clearly the actual allocations of such burdens will affect the cost of the shortage. Since a study of state planning failed to yield a clear-cut indication of which of many possible curtailment allocation schemes would best serve as a point of departure for the design of an optimal curtailment strategy to deal with prolonged supply deficiencies, it was then decided to use a linear-programming approach. The advantages of such an approach are examined first, after which some important conceptual and practical problems in the design of a specific linear-programming model are addressed. A mathematical statement of the model is then followed by a brief review the principal methodological shortcomings of the linear-programming approach. Finally, the authors discuss how the analysis might be expanded to account for inter-regional and other secondary effects of curtailment.

  17. Connecting plug-in vehicles with green electricity through consumer demand

    Science.gov (United States)

    Axsen, Jonn; Kurani, Kenneth S.

    2013-03-01

    The environmental benefits of plug-in electric vehicles (PEVs) increase if the vehicles are powered by electricity from ‘green’ sources such as solar, wind or small-scale hydroelectricity. Here, we explore the potential to build a market that pairs consumer purchases of PEVs with purchases of green electricity. We implement a web-based survey with three US samples defined by vehicle purchases: conventional new vehicle buyers (n = 1064), hybrid vehicle buyers (n = 364) and PEV buyers (n = 74). Respondents state their interest in a PEV as their next vehicle, in purchasing green electricity in one of three ways, i.e., monthly subscription, two-year lease or solar panel purchase, and in combining the two products. Although we find that a link between PEVs and green electricity is not presently strong in the consciousness of most consumers, the combination is attractive to some consumers when presented. Across all three respondent segments, pairing a PEV with a green electricity program increased interest in PEVs—with a 23% demand increase among buyers of conventional vehicles. Overall, about one-third of respondents presently value the combination of a PEV with green electricity; the proportion is much higher among previous HEV and PEV buyers. Respondents’ reported motives for interest in both products and their combination include financial savings (particularly among conventional buyers), concerns about air pollution and the environment, and interest in new technology (particularly among PEV buyers). The results provide guidance regarding policy and marketing strategies to advance PEVs and green electricity demand.

  18. Impact of peak electricity demand in distribution grids: a stress test

    NARCIS (Netherlands)

    Hoogsteen, Gerwin; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria; Schuring, Friso; Kootstra, Ben

    2015-01-01

    The number of (hybrid) electric vehicles is growing, leading to a higher demand for electricity in distribution grids. To investigate the effects of the expected peak demand on distribution grids, a stress test with 15 electric vehicles in a single street is conducted and described in this paper.

  19. Simulation of demand side participation in Spanish short term electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Valencia-Salazar, I.; Alvarez, C. [Institute for Energy Engineering, Universidad Politecnica de Valencia, Camino de Vera, s/n, edificio 8E, escalera F, 2a planta, 46022 Valencia (Spain); Escriva-Escriva, G., E-mail: guieses@die.upv.e [Institute for Energy Engineering, Universidad Politecnica de Valencia, Camino de Vera, s/n, edificio 8E, escalera F, 2a planta, 46022 Valencia (Spain); Alcazar-Ortega, M. [Institute for Energy Engineering, Universidad Politecnica de Valencia, Camino de Vera, s/n, edificio 8E, escalera F, 2a planta, 46022 Valencia (Spain)

    2011-07-15

    Highlights: {yields} Benefits from customer active participation can be obtained with a proper generation of bids and offers. {yields} Simulation of Spanish customers' participation is shown in daily, intra-daily and balancing markets. {yields} Market efficiency and economics profits arise in balancing markets by using customer load reductions. {yields} Real market prices and real customers' consumptions profiles are used in the simulations. -- Abstract: Demand response resources management is one of the most investigated solutions oriented to improve the efficiency in electricity markets. In this paper, the capability of customers to participate in short term markets is analyzed. An available methodology to analyze the daily and monthly energy consumptions of large customers is used to create energy offers and bids. This allows customers to participate in energy markets in order to buy, as first step, the usual electricity consumption and, additionally, to offer demand reductions in the short term electricity markets. Additionally, this paper shows the customer potential to participate in the Spanish electricity markets.

  20. Research on industrialization of electric vehicles with its demand forecast using exponential smoothing method

    Directory of Open Access Journals (Sweden)

    Zhanglin Peng

    2015-04-01

    Full Text Available Purpose: Electric vehicles industry has gotten a rapid development in the world, especially in the developed countries, but still has a gap among different countries or regions. The advanced industrialization experiences of the EVs in the developed countries will have a great helpful for the development of EVs industrialization in the developing countries. This paper seeks to research the industrialization path & prospect of American EVs by forecasting electric vehicles demand and its proportion to the whole car sales based on the historical 37 EVs monthly sales and Cars monthly sales spanning from Dec. 2010 to Dec. 2013, and find out the key measurements to help Chinese government and automobile enterprises to promote Chinese EVs industrialization. Design/methodology: Compared with Single Exponential Smoothing method and Double Exponential Smoothing method, Triple exponential smoothing method is improved and applied in this study. Findings: The research results show that:  American EVs industry will keep a sustained growth in the next 3 months.  Price of the EVs, price of fossil oil, number of charging station, EVs technology and the government market & taxation polices have a different influence to EVs sales. So EVs manufacturers and policy-makers can adjust or reformulate some technology tactics and market measurements according to the forecast results. China can learn from American EVs polices and measurements to develop Chinese EVs industry. Originality/value: The main contribution of this paper is to use the triple exponential smoothing method to forecast the electric vehicles demand and its proportion to the whole automobile sales, and analyze the industrial development of Chinese electric vehicles by American EVs industry.

  1. Climate change and peak demand for electricity: Evaluating policies for reducing peak demand under different climate change scenarios

    Science.gov (United States)

    Anthony, Abigail Walker

    This research focuses on the relative advantages and disadvantages of using price-based and quantity-based controls for electricity markets. It also presents a detailed analysis of one specific approach to quantity based controls: the SmartAC program implemented in Stockton, California. Finally, the research forecasts electricity demand under various climate scenarios, and estimates potential cost savings that could result from a direct quantity control program over the next 50 years in each scenario. The traditional approach to dealing with the problem of peak demand for electricity is to invest in a large stock of excess capital that is rarely used, thereby greatly increasing production costs. Because this approach has proved so expensive, there has been a focus on identifying alternative approaches for dealing with peak demand problems. This research focuses on two approaches: price based approaches, such as real time pricing, and quantity based approaches, whereby the utility directly controls at least some elements of electricity used by consumers. This research suggests that well-designed policies for reducing peak demand might include both price and quantity controls. In theory, sufficiently high peak prices occurring during periods of peak demand and/or low supply can cause the quantity of electricity demanded to decline until demand is in balance with system capacity, potentially reducing the total amount of generation capacity needed to meet demand and helping meet electricity demand at the lowest cost. However, consumers need to be well informed about real-time prices for the pricing strategy to work as well as theory suggests. While this might be an appropriate assumption for large industrial and commercial users who have potentially large economic incentives, there is not yet enough research on whether households will fully understand and respond to real-time prices. Thus, while real-time pricing can be an effective tool for addressing the peak load

  2. Electricity demand profile with high penetration of heat pumps in Nordic area

    DEFF Research Database (Denmark)

    Liu, Zhaoxi; Wu, Qiuwei; Nielsen, Arne Hejde

    2013-01-01

    This paper presents the heat pump (HP) demand profile with high HP penetration in the Nordic area in order to achieve the carbon neutrality power system. The calculation method in the European Standard EN14825 was used to estimate the HP electricity demand profile. The study results show there wi......This paper presents the heat pump (HP) demand profile with high HP penetration in the Nordic area in order to achieve the carbon neutrality power system. The calculation method in the European Standard EN14825 was used to estimate the HP electricity demand profile. The study results show...... there will be high power demand from HPs and the selection of supplemental heating for heat pumps has a big impact on the peak electrical power load of heating. The study in this paper gives an estimate of the scale of the electricity demand with high penetration of heat pumps in the Nordic area....

  3. Benefits and challenges of electrical demand response: A critical review

    DEFF Research Database (Denmark)

    O'Connell, Niamh; Pinson, Pierre; Madsen, Henrik;

    2014-01-01

    Advances in IT, control and forecasting capabilities have made demand response a viable, and potentially attractive, option to increase power system flexibility. This paper presents a critical review of the literature in the field of demand response, providing an overview of the benefits and chal......Advances in IT, control and forecasting capabilities have made demand response a viable, and potentially attractive, option to increase power system flexibility. This paper presents a critical review of the literature in the field of demand response, providing an overview of the benefits...... and challenges of demand response. These benefits include the ability to balance fluctuations in renewable generation and consequently facilitate higher penetrations of renewable resources on the power system, an increase in economic efficiency through the implementation of real-time pricing, and a reduction...

  4. INDIA’S ELECTRICITY DEMAND FORECAST USING REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS BASED ON PRINCIPAL COMPONENTS

    OpenAIRE

    Saravanan, S; Kannan, S.; C. Thangaraj

    2012-01-01

    Power System planning starts with Electric load (demand) forecasting. Accurate electricity load forecasting is one of the most important challenges in managing supply and demand of the electricity, since the electricity demand is volatile in nature; it cannot be stored and has to be consumed instantly. The aim of this study deals with electricity consumption in India, to forecast future projection of demand for a period of 19 years from 2012 to 2030. The eleven input variables used are Amount...

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

    Science.gov (United States)

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

    2016-12-01

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

  6. Projected Demand and Potential Impacts to the National Airspace System of Autonomous, Electric, On-Demand Small Aircraft

    Science.gov (United States)

    Smith, Jeremy C.; Viken, Jeffrey K.; Guerreiro, Nelson M.; Dollyhigh, Samuel M.; Fenbert, James W.; Hartman, Christopher L.; Kwa, Teck-Seng; Moore, Mark D.

    2012-01-01

    Electric propulsion and autonomy are technology frontiers that offer tremendous potential to achieve low operating costs for small-aircraft. Such technologies enable simple and safe to operate vehicles that could dramatically improve regional transportation accessibility and speed through point-to-point operations. This analysis develops an understanding of the potential traffic volume and National Airspace System (NAS) capacity for small on-demand aircraft operations. Future demand projections use the Transportation Systems Analysis Model (TSAM), a tool suite developed by NASA and the Transportation Laboratory of Virginia Polytechnic Institute. Demand projections from TSAM contain the mode of travel, number of trips and geographic distribution of trips. For this study, the mode of travel can be commercial aircraft, automobile and on-demand aircraft. NASA's Airspace Concept Evaluation System (ACES) is used to assess NAS impact. This simulation takes a schedule that includes all flights: commercial passenger and cargo; conventional General Aviation and on-demand small aircraft, and operates them in the simulated NAS. The results of this analysis projects very large trip numbers for an on-demand air transportation system competitive with automobiles in cost per passenger mile. The significance is this type of air transportation can enhance mobility for communities that currently lack access to commercial air transportation. Another significant finding is that the large numbers of operations can have an impact on the current NAS infrastructure used by commercial airlines and cargo operators, even if on-demand traffic does not use the 28 airports in the Continental U.S. designated as large hubs by the FAA. Some smaller airports will experience greater demand than their current capacity allows and will require upgrading. In addition, in future years as demand grows and vehicle performance improves other non-conventional facilities such as short runways incorporated into

  7. Determinants of electricity demand for newly electrified low-income African households

    Energy Technology Data Exchange (ETDEWEB)

    Louw, Kate [Energy Research Centre, University of Cape Town, Cape Town, Private Bag, Rondebosch 7701 (South Africa); Conradie, Beatrice [School of Economics, University of Cape Town (South Africa); Howells, Mark [Planning and Economic Studies Section (PESS), International Atomic Energy Agency, Vienna (Austria); Dekenah, Marcus [Marcus Dekenah Consulting, Centurion (South Africa)

    2008-08-15

    Access to clean, affordable and appropriate energy is an important enabler of development. Energy allows households to meet their most basic subsistence needs; it is a central feature of all the millennium development goals (MDGs) and, while a lack of access to energy may not be a cause of poverty, addressing the energy needs of the impoverished lets them access services which in turn address the causes of poverty. While much is known about the factors affecting the decisions made when choosing between fuel types within a household, few quantitative studies have been carried out in South Africa to determine the extent to which these factors affect energy choice decisions. It is assumed that the factors traditionally included in economic demand such as price and income of the household affect choice; tastes and preferences as well as external factors such as distance to fuel suppliers are expected to influence preferences. This study follows two typical low-income rural sites in South Africa, Antioch and Garagapola, where the Electricity Basic Services Support Tariff (EBSST) was piloted in 2002. The EBSST is set at 50 kWh/month per household for low domestic consumers; this is worth approximately R20 ({+-}US$3). This subsidy is a lifeline tariff, where households receive the set amount of units per month, free of charge irrespective of whether more units are purchased. These data (collected in 2001 and 2002), recently collated with detailed electricity consumption data, allow us to determine the drivers of electricity consumption within these households. The sample analysed is taken from the initial phase of the study, when no FBE had been introduced to the households. This enabled the study presented here to make use of the well-populated datasets to assess what affects the electricity use decision in these households. This paper attempts to assess which factors affected the decision-making process for electricity consumption within these households. A brief

  8. Grid-Aware Demand Management in Electricity Distribution Grids

    DEFF Research Database (Denmark)

    Bessler, Sanford; Kemal, Mohammed Seifu; Silva, Nuno

    2017-01-01

    prices. This paper presents an extended demand management approach that focuses on two aspects: (1) introduction of an interface to the Distribution System Operator in order to allow for grid load management (overload avoidance); (2) end-to-end robustness to changes of real-time information...

  9. Research on electricity market operation mechanism and its benefit of demand side participation

    Science.gov (United States)

    Han, Shuai; Yan, Xu; Qin, Li-juan; Lin, Xi-qiao; Zeng, Bo

    2017-08-01

    Demand response plays an important role in maintaining the economic stability of the system, and has the characteristics of high efficiency, low cost, fast response, good environmental benefits and so on. Demand side resource is an important part of electricity market. The research of demand side resources in our country is still in the initial stage, but the opening of the electricity sales side provides a broad prospect for the development of electricity market. This paper summarizes the main types of demand side resources in our country, analyzes the economic principle of demand response from the micro perspective, puts forward some suggestions on the operation mechanism of China’s demand side resources participating in the electricity market under the condition of electricity sales side opening, analyzes the current situation of pricing in the electricity wholesale market and sets up the pricing strategy of the centralized wholesale market with the demand side power supply participating in quotation, which makes the social and economic benefits reach the maximum.

  10. Electric power monthly, July 1995 - with data for April 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-07-01

    This publication provides statistical data on net generation, fuel consumption, fossil fuel stocks, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on fossil fuel stocks and costs are also included.

  11. Electric power supply and demand for the contiguous United States, 1980-1989

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-06-01

    A limited review is presented of the outlook for the electric power supply and demand during the period 1980 to 1989. Only the adequacy and reliability aspects of bulk electric power supply in the contiguous US are considered. The economic, financial and environmental aspects of electric power system planning and the distribution of electricity (below the transmission level) are topics of prime importance, but they are outside the scope of this report.

  12. The Power of Electric Vehicles - Exploring the Value of Flexible Electricity Demand in a Multi-actor Context

    NARCIS (Netherlands)

    Verzijlbergh, R.A.

    2013-01-01

    Electric vehicles (EVs) have the potential to play a crucial role in clean and intelligent power systems. The key to this potential lies in the flexibility that EVs provide by the ability to shift their electricity demand in time. This flexibility can be used to facilitate the integration of renewab

  13. The Power of Electric Vehicles - Exploring the Value of Flexible Electricity Demand in a Multi-actor Context

    NARCIS (Netherlands)

    Verzijlbergh, R.A.

    2013-01-01

    Electric vehicles (EVs) have the potential to play a crucial role in clean and intelligent power systems. The key to this potential lies in the flexibility that EVs provide by the ability to shift their electricity demand in time. This flexibility can be used to facilitate the integration of

  14. A Review of Demand Forecast for Charging Facilities of Electric Vehicles

    Science.gov (United States)

    Jiming, Han; Lingyu, Kong; Yaqi, Shen; Ying, Li; Wenting, Xiong; Hao, Wang

    2017-05-01

    The demand forecasting of charging facilities is the basis of its planning and locating, which has important role in promoting the development of electric vehicles and alleviating the energy crisis. Firstly, this paper analyzes the influence of the charging mode, the electric vehicle population and the user’s charging habits on the demand of charging facilities; Secondly, considering these factors, the recent analysis on charging and switching equipment demand forecast is divided into two methods—forecast based on electric vehicle population and user traveling behavior. Then, the article analyzes the two methods and puts forward the advantages and disadvantages. Finally, in view of the defects of current research, combined with the current situation of the development of the city and comprehensive consideration of economic, political, environmental and other factors, this paper proposes an improved demand forecasting method which has great practicability and pertinence and lays the foundation for the plan of city electric facilities.

  15. The value of online information for demand response in Walrasian electricity markets

    NARCIS (Netherlands)

    Claessen, F.N.; Liefers, B.J.; Kaisers, M.; La Poutré, J.A.

    2015-01-01

    Smart energy systems integrate renewables and demand response. Most European electricity markets coordinate the resulting time-varying flexibility in demand and supply by organising day-ahead trade with Walrasian mechanisms, using simultaneous call auctions and sealed bids. These mechanisms give bid

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

    Science.gov (United States)

    Nilagupta, Prapassara

    1999-12-01

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

  17. Short-Term Electrical Peak Demand Forecasting in a Large Government Building Using Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    Jason Grant

    2014-03-01

    Full Text Available The power output capacity of a local electrical utility is dictated by its customers’ cumulative peak-demand electrical consumption. Most electrical utilities in the United States maintain peak-power generation capacity by charging for end-use peak electrical demand; thirty to seventy percent of an electric utility’s bill. To reduce peak demand, a real-time energy monitoring system was designed, developed, and implemented for a large government building. Data logging, combined with an application of artificial neural networks (ANNs, provides short-term electrical load forecasting data for controlled peak demand. The ANN model was tested against other forecasting methods including simple moving average (SMA, linear regression, and multivariate adaptive regression splines (MARSplines and was effective at forecasting peak building electrical demand in a large government building sixty minutes into the future. The ANN model presented here outperformed the other forecasting methods tested with a mean absolute percentage error (MAPE of 3.9% as compared to the SMA, linear regression, and MARSplines MAPEs of 7.7%, 17.3%, and 7.0% respectively. Additionally, the ANN model realized an absolute maximum error (AME of 8.2% as compared to the SMA, linear regression, and MARSplines AMEs of 26.2%, 45.1%, and 22.5% respectively.

  18. Electrical Assessment, Capacity, and Demand Study for Fort Wainwright, Alaska

    Science.gov (United States)

    2007-09-01

    Melave Gym w/Pool 61508 85.0 (101.2) 4.0 Automated Combat Pistol Range 62302 12.1 0.0 12.1 Band Facility 65104 6.6 (65.2) 0.0 Pedestrian Access...and demand. 3.4.2 Net power shortfall Based on the above scenarios, there is a need to supplement the existing power available to the FWA to meet...reliable. • Other Advantages. Other areas as documented. • Other Disadvantages . Other areas as documented. 6.3 Short-term capacity shortage

  19. Letter to the Editor: Electric Vehicle Demand Model for Load Flow Studies

    DEFF Research Database (Denmark)

    Garcia-Valle, Rodrigo; Vlachogiannis, Ioannis (John)

    2009-01-01

    This paper introduces specific and simple model for electric vehicles suitable for load flow studies. The electric vehicles demand system is modelled as PQ bus with stochastic characteristics based on the concept of queuing theory. All appropriate variables of stochastic PQ buses are given...

  20. Optimal Electricity Charge Strategy Based on Price Elasticity of Demand for Users

    Science.gov (United States)

    Li, Xin; Xu, Daidai; Zang, Chuanzhi

    The price elasticity is very important for the prediction of electricity demand. This paper mainly establishes the price elasticity coefficient for electricity in single period and inter-temporal. Then, a charging strategy is established based on these coefficients. To evaluate the strategy proposed, simulations of the two elastic coefficients are carried out based on the history data of a certain region.

  1. Demands of Simulated Commuting Using an Electrically Assisted Bicycle.

    Science.gov (United States)

    LA Salle, D Taylor; Shute, Robert; Heesch, Matthew; Slivka, Dustin

    2017-01-01

    The American College of Sports Medicine (ACSM) recommends adults participate in weekly aerobic activity for a minimum of 30 minutes moderate intensity exercise 5 days per week or 20 minutes of vigorous activity 3 days per week. The electrically assisted bicycle may help individuals achieve the ACSM's aerobic recommendations and introduce inactive individuals to physical activity. To compare the physiological requirements of riding a bicycle with electric pedal assist versus non-assist among healthy active young adults. 6 males and 6 females completed two randomized cycling trials using electric pedal assist (PAB) and non-assist (NON). Cycling trials were completed over a 3.54 km course with varying terrain. Time to completion was faster in the PAB (12.5 ± 0.3 min) than the NON (13.8 ± 0.3 min, p=0.01). Rating of Perceived Exertion (RPE) was lower in the PAB (12.0 ± 0.4) than the NON (14.8 ± 0.5, p < 0.001). There was no difference in mean VO2 between PAB (2.3 ± 0.1 L·min(-1)) and NON (2.5 ± 0.1 L·min(-1), p=0.45). There was no difference in mean power output when comparing PAB (115 ± 11 Watts) to NON (128 ± 11 Watts, p=0.38). There was no difference in heart rate between PAB (147 ± 5 bpm) and NON (149 ± 5 bpm, p=0.77). Recreationally active younger (college age) individuals may self-select a similar physiological intensity of physical activity regardless of mechanical assistance, resulting in quicker completion of a commuting task with PAB. Both the PAB and NON exercise bouts met ACSM criteria for vigorous exercise.

  2. Prediction by simulation. Part 3. Forecaste for electric power demand; Denryoku juyo yosoku

    Energy Technology Data Exchange (ETDEWEB)

    Haida, T. [Tokyo Electric Co. Ltd. (Japan)

    1997-08-20

    Electric power demand forecast can be divided into short-range demand forecasting and long-range demand forecasting. A discussion is made placing emphasis on the forecast of the maximum powers for the day and for the following day which are considered to be most important in the short-range demand forecasting. The regression model is a method which persons in charge of forecasting can comprehend easily because it agrees fairly well with their experience and institution. Applications of time series model to demand forecasting for every hour for the following day and for the week are reported. Many attempts are being made recently to use neural network for the forecasting model. For the estimation of the maximum power, meteorological conditions of the day of forecasting are indispensable. As a result, the ultimate accuracy of forecasting is influenced greatly by the accuracy of the forecasted weather. Every electric power company in Japan has a maximum power forecasting support system at the present time. For long-range demand forecasting for a few years and for ten-odd years, macro-methods and micro-methods of employing accumulated demands for applications such as electric lights and electricity for business use are adopted. 11 refs., 6 figs.

  3. The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes.

    Science.gov (United States)

    Kelly, Jack; Knottenbelt, William

    2015-01-01

    Many countries are rolling out smart electricity meters. These measure a home's total power demand. However, research into consumer behaviour suggests that consumers are best able to improve their energy efficiency when provided with itemised, appliance-by-appliance consumption information. Energy disaggregation is a computational technique for estimating appliance-by-appliance energy consumption from a whole-house meter signal. To conduct research on disaggregation algorithms, researchers require data describing not just the aggregate demand per building but also the 'ground truth' demand of individual appliances. In this context, we present UK-DALE: an open-access dataset from the UK recording Domestic Appliance-Level Electricity at a sample rate of 16 kHz for the whole-house and at 1/6 Hz for individual appliances. This is the first open access UK dataset at this temporal resolution. We recorded from five houses, one of which was recorded for 655 days, the longest duration we are aware of for any energy dataset at this sample rate. We also describe the low-cost, open-source, wireless system we built for collecting our dataset.

  4. Energy Systems Scenario Modelling and Long Term Forecasting of Hourly Electricity Demand

    DEFF Research Database (Denmark)

    Alberg Østergaard, Poul; Møller Andersen, Frits; Kwon, Pil Seok

    2015-01-01

    . The results show that even with a limited short term electric car fleet, these will have a significant effect on the energy system; the energy system’s ability to integrate wind power and the demand for condensing power generation capacity in the system. Charging patterns and flexibility have significant...... or inflexible electric vehicles and individual heat pumps, and in the long term it is investigated what the effects of changes in the load profiles due to changing weights of demand sectors are. The analyses are based on energy systems simulations using EnergyPLAN and demand forecasting using the Helena model...... effects on this. Likewise, individual heat pumps may affect the system operation if they are equipped with heat storages. The analyses also show that the long term changes in electricity demand curve profiles have little impact on the energy system performance. The flexibility given by heat pumps...

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

    Science.gov (United States)

    Mendez-Carrillo, Ericka Cecilia

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

  6. The Eastern European electricity market outlook: country profiles of supply, demand, regulation and infrastructure

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-02-15

    Europe's electricity markets are rapidly changing and opening up to liberalisation and new market entrants, this is particularly evident in the vibrant Eastern European markets. This report provides an in-depth analysis of 12 highly dynamic Eastern European electricity markets with comprehensive data on supply/demand balance and coverage of the implementation of the EU Electricity Directive. The country profiles also feature an overview of supply/demand, an examination of key governmental, legal and political influences on the sector and an analysis of international trading and infrastructure with forecasts to 2012. 75 figs., 16 tabs.

  7. Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting

    Directory of Open Access Journals (Sweden)

    Weide Li

    2017-01-01

    Full Text Available Accurate electric power demand forecasting plays a key role in electricity markets and power systems. The electric power demand is usually a non-linear problem due to various unknown reasons, which make it difficult to get accurate prediction by traditional methods. The purpose of this paper is to propose a novel hybrid forecasting method for managing and scheduling the electricity power. EEMD-SCGRNN-PSVR, the proposed new method, combines ensemble empirical mode decomposition (EEMD, seasonal adjustment (S, cross validation (C, general regression neural network (GRNN and support vector regression machine optimized by the particle swarm optimization algorithm (PSVR. The main idea of EEMD-SCGRNN-PSVR is respectively to forecast waveform and trend component that hidden in demand series to substitute directly forecasting original electric demand. EEMD-SCGRNN-PSVR is used to predict the one week ahead half-hour’s electricity demand in two data sets (New South Wales (NSW and Victorian State (VIC in Australia. Experimental results show that the new hybrid model outperforms the other three models in terms of forecasting accuracy and model robustness.

  8. Electric Boiler and Heat Pump Thermo-Electrical Models for Demand Side Management Analysis in Low Voltage Grids

    DEFF Research Database (Denmark)

    Diaz de Cerio Mendaza, Iker; Bak-Jensen, Birgitte; Chen, Zhe

    2013-01-01

    The last fifteen years many European countries have integrated large percentage of renewable energy on their electricity generation mix. In Denmark the 21.3% of the electricity consumed nowadays is produced by the wind, and it has planned to be the 50% by 2025. In order to front future challenges...... on the power system control and operation, created by this unstable way of generation, Demand Side Management turns to be a promising solution. The storage capacity from thermo-electric units, like electric boilers and heat pumps, allows operating them with certain freedom. Hence they can be employed under...

  9. 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.

  10. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Joyce Jihyun [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kiliccote, Sila [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2012-06-01

    In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

  11. An Assessment of Global Electric-Sector Water Demands to 2100 under the Latest Scenarios

    Science.gov (United States)

    Ando, N.; Yoshikawa, S.; Kanae, S.

    2016-12-01

    Electricity demands are likely to continue growing in the coming decades, due to population and economy growth. The electric growth could lead water demands to increase because some kinds of power generation methods such as thermal power generation require large amount of water. Many countries still rely on thermal power generation. Thus, we are concerned that electricity generation could be a big factor to accelerate water scarcity. In this study, to assess the electric-sector impacts on water demands, we estimated future electric-sector water withdrawal and consumption in 17 regions from 2010 to 2100. The water withdrawal and consumption are calculated by using electricity generation and water demand intensities. The data set of future electricity generation is derived by the Asia-Pacific Integrated Model. This model applied the latest scenarios for global climate change studies, the socio-economic scenario (SSPs) and the radiative forcing scenario (RCPs). We used the water demands intensity data set of Macknick et al. (2012). Water demand intensities for power plants considerably varies by power plant cooling systems. Therefore, we constructed cooling system share scenarios. Our results indicated that by 2100, the water withdrawal and consumption in current developing countries increased and caught up with that in current developed countries. We found that socio-economic scenarios (SSPs) has large impacts on the water withdrawal and consumption. Sustainable society (SSP1) and conventional development society (SSP5) have higher economic growth than fragmentation society (SSP3). The sustainable society needs smaller amount of the water withdrawal and consumption compared with fragmentation society. In contrast, the conventional development society needs larger amount of the water withdrawal and consumption compared with fragmentation society. Therefore, higher economic growth did not always lead less electric-sector water withdrawal and consumption. A shift of

  12. Long range prospect of the electric power demand in FY 2,000. Total demand: 8. 38 trillion KWh, annual average increase: 2. 3%

    Energy Technology Data Exchange (ETDEWEB)

    1988-01-05

    The Agency of Natural Resources and Energy, the Ministry of International Trade and Industry held meetings of the Committee on Demand and Supply of the Electric Utility Industrial Council in October, 1987. This article is the Committee's interim report and establishes the prospect of the electric power supply and demand in Japan in FY 1995 and FY 2000. Total power demand in FY 1995 is about 7.38 trillion KWh and in FY 2000, about 8.38 trillion KWh. Average annual growth is about 2.6% during the period of FY 1995 through FY 2000. Among the above, the public demand will increase and occupy 50.2% of the total power demand in the year of 2000. The industrial demand will increase about 1.4% in terms of annual rate during the period of FY 1995 through FY 2000 due to the demand increase by new industries, etc. against continued rationalization of power utilization. The maximum electric power demand is around 163 million KW in FY 2000. The target of electric power supply in FY 2000 is 53 million KW from atomic power generation, 23 million KW from coal burning thermal power generation, 43 million KW from LNG, 21 million KW from hydro power generation and 52 million KW from oil and LPG. Hereafter, electric load leveling, more efficient electric power supply and strengthening of the basis of electric power utilization are necessary. (1 photo, 3 tabs)

  13. The Effect of Temperature on the Electricity Demand: An Empirical Investigation

    Science.gov (United States)

    Kim, H.; Kim, I. G.; Park, K. J.; Yoo, S. H.

    2015-12-01

    This paper attempts to estimate the electricity demand function in Korea with quarterly data of average temperature, GDP and electricity price over the period 2005-2013. We apply lagged dependent variable model and ordinary least square method as a robust approach to estimating the parameters of the electricity demand function. The results show that short-run price and income elasticities of the electricity demand are estimated to be -0.569 and 0.631 respectively. They are statistically significant at the 1% level. Moreover, long-run income and price elasticities are estimated to be 1.589 and -1.433 respectively. Both of results reveal that the demand for electricity demand is about 15.2℃. It is shown that power of explanation and goodness-of-fit statistics are improved in the use of the lagged dependent variable model rather than conventional model. Acknowledgements: This research was carried out as a part of "Development and application of technology for weather forecast" supported by the 2015 National Institute of Meteorological Research (NIMR) in the Korea Meteorological Administration.

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

    Directory of Open Access Journals (Sweden)

    Ishmael Ackah

    2014-04-01

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

  15. Demand Profile Study of Battery Electric Vehicle under Different Charging Options

    DEFF Research Database (Denmark)

    Marra, Francesco; Yang, Guang Ya; Træholt, Chresten

    2012-01-01

    An increased research on electric vehicles (EV) and plug-in hybrid electric vehicles (PHEV) deals with their flexible use in electric power grids. Several research projects on smart grids and electric mobility are now looking into realistic models representing the behavior of an EV during charging......, including nonlinearities. In this work, modeling, simulation and testing of the demand profile of a battery-EV are conducted. Realistic work conditions for a lithium-ion EV battery and battery charger are considered as the base for the modeling. Simulation results show that EV charging generates different...

  16. Preliminary Examination of the Supply and Demand Balance for Renewable Electricity

    Energy Technology Data Exchange (ETDEWEB)

    Swezey, B.; Aabakken, J.; Bird, L.

    2007-10-01

    In recent years, the demand for renewable electricity has accelerated as a consequence of state and federal policies and the growth of voluntary green power purchase markets, along with the generally improving economics of renewable energy development. This paper reports on a preliminary examination of the supply and demand balance for renewable electricity in the United States, with a focus on renewable energy projects that meet the generally accepted definition of "new" for voluntary market purposes, i.e., projects installed on or after January 1, 1997. After estimating current supply and demand, this paper presents projections of the supply and demand balance out to 2010 and describe a number of key market uncertainties.

  17. Evaluation of the Electric Vehicle Impact in the Power Demand Curve in a Smart Grid Environment

    DEFF Research Database (Denmark)

    Morais, Hugo; Sousa, Tiago; Vale, Zita

    2014-01-01

    and to minimize the difference between the minimum and maximum system demand (leveling the power demand curve). The proposed methodology perform the day-ahead scheduling of distributed energy resources in a distribution network with high penetration of DG and a large number of electric vehicles. It is used a 32......Smart grids with an intensive penetration of distributed energy resources will play an important role in future power system scenarios. The intermittent nature of renewable energy sources brings new challenges, requiring an efficient management of those sources. Additional storage resources can...... be beneficially used to address this problem; the massive use of electric vehicles, particularly of vehicle-to-grid (usually referred as gridable vehicles or V2G), becomes a very relevant issue. This paper addresses the impact of Electric Vehicles (EVs) in system operation costs and in power demand curve...

  18. 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.

  19. The effects of demand uncertainty on strategic gaming in the merit-order electricity pool market

    Science.gov (United States)

    Frem, Bassam

    In a merit-order electricity pool market, generating companies (Gencos) game with their offered incremental cost to meet the electricity demand and earn bigger market shares and higher profits. However when the demand is treated as a random variable instead of as a known constant, these Genco gaming strategies become more complex. After a brief introduction of electricity markets and gaming, the effects of demand uncertainty on strategic gaming are studied in two parts: (1) Demand modelled as a discrete random variable (2) Demand modelled as a continuous random variable. In the first part, we proposed an algorithm, the discrete stochastic strategy (DSS) algorithm that generates a strategic set of offers from the perspective of the Gencos' profits. The DSS offers were tested and compared to the deterministic Nash equilibrium (NE) offers based on the predicted demand. This comparison, based on the expected Genco profits, showed the DSS to be a better strategy in a probabilistic sense than the deterministic NE. In the second part, we presented three gaming strategies: (1) Deterministic NE (2) No-Risk (3) Risk-Taking. The strategies were then tested and their profit performances were compared using two assessment tools: (a) Expected value and standard deviation (b) Inverse cumulative distribution. We concluded that despite yielding higher profit performance under the right conjectures, Risk-Taking strategies are very sensitive to incorrect conjectures on the competitors' gaming decisions. As such, despite its lower profit performance, the No-Risk strategy was deemed preferable.

  20. Forecasting electricity demand in South Africa: A critique of Eskom’s projections

    Directory of Open Access Journals (Sweden)

    Anastassios Pouris

    2010-03-01

    Full Text Available Within a short period, Eskom has applied to the National Energy Regulator of South Africa (NERSA for the third time since the 2008 electricity crisis, proposing a multiyear price determination for the periods 2010−2011 and 2012−2013. The new application, submitted at the end of September 2009, motivated for the debate of strategies with which the consequences of the proposed price hikes could be predicted, measured and controlled. In his presentation to Parliament in February 2009, Eskom’s then CEO, Mr Jacob Maroga presented the current energy situation in the country, the reasons for the crisis in 2007−2008, as well as the challenges of the future. The purpose of this paper is to contribute some new ideas and perspectives to Eskom’s existing arguments regarding the demand for electricity. The most important issue is the fact that Eskom does not sufficiently take into account the impact of the electricity prices in their electricity demand forecast. This study proposed that prices have a high impact on the demand for electricity (price elasticity of -0.5. Employing similar assumptions for the country’s economic growth as Eskom, the results of the forecasting exercise indicated a substantial decrease in demand (scenario 1: -31% in 2025 and scenario 2:-18% in 2025. This study’s findings contrasted significantly with Eskom’s projection, which has extensive implications as far as policy is concerned.

  1. Estimating deficit probabilities with price-responsive demand in contract-based electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Galetovic, Alexander [Facultad de Ciencias Economicas y Empresariales, Universidad de los Andes, Santiago (Chile); Munoz, Cristian M. [Departamento de Ingenieria Electrica, Universidad de Chile, Mariano Sanchez Fontecilla 310, piso 3 Las Condes, Santiago (Chile)

    2009-02-15

    Studies that estimate deficit probabilities in hydrothermal systems have generally ignored the response of demand to changing prices, in the belief that such response is largely irrelevant. We show that ignoring the response of demand to prices can lead to substantial over or under estimation of the probability of an energy deficit. To make our point we present an estimation of deficit probabilities in Chile's Central Interconnected System between 2006 and 2010. This period is characterized by tight supply, fast consumption growth and rising electricity prices. When the response of demand to rising prices is acknowledged, forecasted deficit probabilities and marginal costs are shown to be substantially lower. (author)

  2. Automated Demand Response: The Missing Link in the Electricity Value Chain

    Energy Technology Data Exchange (ETDEWEB)

    McKane, Aimee; Rhyne, Ivin; Piette, Mary Ann; Thompson, Lisa; Lekov, Alex

    2008-08-01

    In 2006, the Public Interest Energy Research Program (PIER) Demand Response Research Center (DRRC) at Lawrence Berkeley National Laboratory initiated research into Automated Demand Response (OpenADR) applications in California industry. The goal is to improve electric grid reliability and lower electricity use during periods of peak demand. The purpose of this research is to begin to define the relationship among a portfolio of actions that industrial facilities can undertake relative to their electricity use. This 'electricity value chain' defines energy management and demand response (DR) at six levels of service, distinguished by the magnitude, type, and rapidity of response. One element in the electricity supply chain is OpenADR, an open-standards based communications system to send signals to customers to allow them to manage their electric demand in response to supply conditions, such as prices or reliability, through a set of standard, open communications. Initial DRRC research suggests that industrial facilities that have undertaken energy efficiency measures are probably more, not less, likely to initiate other actions within this value chain such as daily load management and demand response. Moreover, OpenADR appears to afford some facilities the opportunity to develop the supporting control structure and to 'demo' potential reductions in energy use that can later be applied to either more effective load management or a permanent reduction in use via energy efficiency. Under the right conditions, some types of industrial facilities can shift or shed loads, without any, or minimal disruption to operations, to protect their energy supply reliability and to take advantage of financial incentives. In 2007 and 2008, 35 industrial facilities agreed to implement OpenADR, representing a total capacity of nearly 40 MW. This paper describes how integrated or centralized demand management and system-level network controls are linked to Open

  3. Automated Demand Response: The Missing Link in the Electricity Value Chain

    Energy Technology Data Exchange (ETDEWEB)

    McKane, Aimee; Rhyne, Ivin; Lekov, Alex; Thompson, Lisa; Piette, MaryAnn

    2009-08-01

    In 2006, the Public Interest Energy Research Program (PIER) Demand Response Research Center (DRRC) at Lawrence Berkeley National Laboratory initiated research into Automated Demand Response (OpenADR) applications in California industry. The goal is to improve electric grid reliability and lower electricity use during periods of peak demand. The purpose of this research is to begin to define the relationship among a portfolio of actions that industrial facilities can undertake relative to their electricity use. This ?electricity value chain? defines energy management and demand response (DR) at six levels of service, distinguished by the magnitude, type, and rapidity of response. One element in the electricity supply chain is OpenADR, an open-standards based communications system to send signals to customers to allow them to manage their electric demand in response to supply conditions, such as prices or reliability, through a set of standard, open communications. Initial DRRC research suggests that industrial facilities that have undertaken energy efficiency measures are probably more, not less, likely to initiate other actions within this value chain such as daily load management and demand response. Moreover, OpenADR appears to afford some facilities the opportunity to develop the supporting control structure and to"demo" potential reductions in energy use that can later be applied to either more effective load management or a permanent reduction in use via energy efficiency. Under the right conditions, some types of industrial facilities can shift or shed loads, without any, or minimal disruption to operations, to protect their energy supply reliability and to take advantage of financial incentives.1 In 2007 and 2008, 35 industrial facilities agreed to implement OpenADR, representing a total capacity of nearly 40 MW. This paper describes how integrated or centralized demand management and system-level network controls are linked to OpenADR systems. Case studies

  4. Spatial–Temporal Analysis of the Heat and Electricity Demand of the Swiss Building Stock

    Directory of Open Access Journals (Sweden)

    Stefan Schneider

    2017-08-01

    Full Text Available In 2015, space heating and domestic hot water production accounted for around 40% of the Swiss final energy consumption. Reaching the goals of the 2050 energy strategy will require significantly reducing this share despite the growing building stock. Renewables are numerous but subject to spatial–temporal constraints. Territorial planning of energy distribution systems enabling the integration of renewables requires having a spatial–temporal characterization of the energy demand. This paper presents two bottom-up statistical extrapolation models for the estimation of the geo-dependent heat and electricity demand of the Swiss building stock. The heat demand is estimated by means of a statistical bottom-up model applied at the building level. At the municipality level, the electricity load curve is estimated by combining socio-economic indicators with average consumption per activity and/or electric device. This approach also allows to break down the estimated electricity demand according to activity type (e.g., households, various industry, and service activities and appliance type (e.g., lighting, motor force, fridges. The total estimated aggregated demand is 94 TWh for heat and 58 TWh for electricity, which represent a deviation of 2.9 and 0.5%, respectively compared to the national energy consumption statistics. In addition, comparisons between estimated and measured electric load curves are done to validate the proposed approach. Finally, these models are used to build a geo-referred database of heat and electricity demand for the entire Swiss territory. As an application of the heat demand model, a realistic saving potential is estimated for the existing building stock; this potential could be achieved through by a deep retrofit program. One advantage of the statistical bottom-up model approach is that it allows to simulate a building stock that replicates the diversity of building demand. This point is important in order to

  5. Examining demand response, renewable energy and efficiencies to meet growing electricity needs

    Energy Technology Data Exchange (ETDEWEB)

    Elliot, N.; Eldridge, M.; Shipley, A.M.; Laitner, J.S.; Nadel, S. [American Council for an Energy-Efficient Economy, Washington, DC (United States); Silverstein, A. [A. Silverstein Consultant (United States); Hedman, B. [Energy and Environmental Analysis Inc., Arlington, VA (United States); Sloan, M. [Virtus Energy Research Associates, Inc. Austin, TX (United States)

    2007-04-15

    While Texas has already taken steps to improve its renewable energy portfolio (RPS), and its energy efficiency improvement program (EEIP), the level of savings that utilities can achieve through the EEIP can be greatly increased. This report estimated the size of energy efficiency and renewable energy resources in Texas, and suggested a range of policy options that might be adopted to further extend EEIP. Current forecasts suggest that peak demand in Texas will increase by 2.3 per cent annually from 2007-2012, a level of growth which is threatening the state's ability to maintain grid reliability at reasonable cost. Almost 70 per cent of installed generating capacity is fuelled by natural gas in Texas. Recent polling has suggested that over 70 per cent of Texans are willing support increased spending on energy efficiency. Demand response measures that may be implemented in the state include incentive-based programs that pay users to reduce their electricity consumption during specific times and pricing programs, where customers are given a price signal and are expected to moderate their electricity usage. By 2023, the widespread availability of time-varying retail electric rates and complementary communications and control methods will permanently change the nature of electricity demand in the state. At present, the integrated utilities in Texas offer a variety of direct load control and time-of-use, curtailable, and interruptible rates. However, with the advent of retail competition now available as a result of the structural unbundling of investor-owned utilities, there is less demand response available in Texas. It was concluded that energy efficiency, demand response, and renewable energy resources can meet the increasing demand for electricity in Texas over the next 15 years. 4 figs.

  6. Estimating the price elasticity for demand for electricity by sector in South Africa

    Directory of Open Access Journals (Sweden)

    Roula Inglesi-Lotz

    2011-12-01

    Full Text Available This paper analyses electricity consumption patterns in South Africa in an attempt to understand and identify the roots of the current electricity crisis. This is done by investigating various economic sectors’ responses to price changes using panel data for the period 1993–2004. Positive and statistically significant price elasticities over this period were found for the transport (rail and commercial sectors while there are positive, but small and statistically insignificant responses to price changes in the agriculture and mining sectors. Only the industrial sector responded to changes in electricity prices according to theory, namely illustrating negative demand elasticities. This sector, however, dominates electricity consumption resulting in aggregate demand elasticities that are negative. These results explain, in part, the current electricity crisis. Given the historic low level of electricity prices in conjunction with, on the whole, a real price decline, i.e. price increases lower than the inflation rate; there was no major incentive to reduce electricity consumption and/or to be efficient. This result supports the notion that prices do have an important signalling effect in the economy. Hence, the electricity prices should be considered not only from an economic growth or social vantage point, but also from a supply and technocratic perspective, which includes environmental factors such as CO2-emissions. Prices should not be determined without considering the system-wide implications thereof.

  7. Impacts of climate change on sub-regional electricity demand and distribution in the southern United States

    Science.gov (United States)

    Allen, Melissa R.; Fernandez, Steven J.; Fu, Joshua S.; Olama, Mohammed M.

    2016-08-01

    High average temperatures lead to high regional electricity demand for cooling buildings, and large populations generally require more aggregate electricity than smaller ones do. Thus, future global climate and population changes will present regional infrastructure challenges regarding changing electricity demand. However, without spatially explicit representation of this demand or the ways in which it might change at the neighbourhood scale, it is difficult to determine which electricity service areas are most vulnerable and will be most affected by these changes. Here we show that detailed projections of changing local electricity demand patterns are viable and important for adaptation planning at the urban level in a changing climate. Employing high-resolution and spatially explicit tools, we find that electricity demand increases caused by temperature rise have the greatest impact over the next 40 years in areas serving small populations, and that large population influx stresses any affected service area, especially during peak demand.

  8. Global monthly water stress: II. Water demand and severity of water

    NARCIS (Netherlands)

    Wada, Y.; Beek, L.P.H. van; Viviroli, D.; Dürr, H.H.; Weingartner, R.; Bierkens, M.F.P.

    2011-01-01

    This paper assesses global water stress at a finer temporal scale compared to conventional assessments. To calculate time series of global water stress at a monthly time scale, global water availability, as obtained from simulations of monthly river discharge from the companion paper, is confronted

  9. Global monthly water stress: II. Water demand and severity of water

    NARCIS (Netherlands)

    Wada, Y.; Beek, L.P.H. van; Viviroli, D.; Dürr, H.H.; Weingartner, R.; Bierkens, M.F.P.

    2011-01-01

    This paper assesses global water stress at a finer temporal scale compared to conventional assessments. To calculate time series of global water stress at a monthly time scale, global water availability, as obtained from simulations of monthly river discharge from the companion paper, is confronted

  10. An Economic Demand Response Model in Liberalized Electricity Markets with Respect to Flexibility of Consumers

    DEFF Research Database (Denmark)

    Sharifi, Reza; Anvari-Moghaddam, Amjad; Fathi, S. Hamid

    2017-01-01

    . The most important solution can be demand response (DR) programs. This paper proposes an economic DR model for residential consumers in liberalized electricity markets to change their consumption pattern from times of high energy prices to other times to maximize their utility functions. This economic...

  11. Forecasting Electricity Demand in Thailand with an Artificial Neural Network Approach

    Directory of Open Access Journals (Sweden)

    Karin Kandananond

    2011-08-01

    Full Text Available Demand planning for electricity consumption is a key success factor for the development of any countries. However, this can only be achieved if the demand is forecasted accurately. In this research, different forecasting methods—autoregressive integrated moving average (ARIMA, artificial neural network (ANN and multiple linear regression (MLR—were utilized to formulate prediction models of the electricity demand in Thailand. The objective was to compare the performance of these three approaches and the empirical data used in this study was the historical data regarding the electricity demand (population, gross domestic product: GDP, stock index, revenue from exporting industrial products and electricity consumption in Thailand from 1986 to 2010. The results showed that the ANN model reduced the mean absolute percentage error (MAPE to 0.996%, while those of ARIMA and MLR were 2.80981 and 3.2604527%, respectively. Based on these error measures, the results indicated that the ANN approach outperformed the ARIMA and MLR methods in this scenario. However, the paired test indicated that there was no significant difference among these methods at α = 0.05. According to the principle of parsimony, the ARIMA and MLR models might be preferable to the ANN one because of their simple structure and competitive performance

  12. Modelling the non-linear response of Spanish electricity demand to temperature variations

    Energy Technology Data Exchange (ETDEWEB)

    Moral-Carcedo, J. [Universidad Autonoma de Madrid (Spain). Dpto. Analisis Economico; Vicens-Otero, J. [Universidad de Madrid (Spain). Dpto. Economia Aplicada

    2005-05-01

    The demand for electricity is a key variable because its links to economic activity and development; however, the electricity consumption also depends on other non-economic variables, notably the weather. The aim of this study is to analyse the effect of temperatures on the variability of the Spanish daily electricity demand, and especially to characterise the non-linearity of the response of demand to variations in temperature. In this article, we explore the ability of Smooth Transition (STR), Threshold Regression (TR), and Switching Regressions (SR) models, to handle both aspects. As we conclude, the use of LSTR approach offers two main advantages. First, it captures adequately the smooth response of electricity demand to temperature variations in intermediate ranges of temperatures. Second, it provides a method to analyse the validity of temperature thresholds used to build the ''cooling degree days'' (CDD) and ''heating degree days'' (HDD) variables traditionally employed in the literature. (author)

  13. Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management

    Science.gov (United States)

    Berardino, Jonathan

    In recent years there has been a push in the electric power industry for more customer involvement in the electricity markets. Traditionally the end user has played a passive role in the planning and operation of the power grid. However, many energy markets have begun opening up opportunities to consumers who wish to commit a certain amount of their electrical load under various demand side management programs. The potential benefits of more demand participation include reduced operating costs and new revenue opportunities for the consumer, as well as more reliable and secure operations for the utilities. The management of these load resources creates challenges and opportunities to the end user that were not present in previous market structures. This work examines the behavior of commercial-type building electrical loads and their capacity for supporting demand side management actions. This work is motivated by the need for accurate and dynamic tools to aid in the advancement of demand side operations. A dynamic load model is proposed for capturing the response of controllable building loads. Building-specific load forecasting techniques are developed, with particular focus paid to the integration of building management system (BMS) information. These approaches are tested using Drexel University building data. The application of building-specific load forecasts and dynamic load modeling to the optimal scheduling of multi-building systems in the energy market is proposed. Sources of potential load uncertainty are introduced in the proposed energy management problem formulation in order to investigate the impact on the resulting load schedule.

  14. Adaptation possibilities of the nuclear electricity production to the demand; Possibilites d'adaptation de la production d'electricite nucleaires a la demande

    Energy Technology Data Exchange (ETDEWEB)

    Acket, C

    2009-02-15

    Meeting about the CO{sub 2} emissions from electric heating showed that the leak of adaptation from nuclear reactors led the use of thermal power plants (coal, petroleum, gas) to control the demand variations. This argument is analyzed in the document: is it possible to replace those thermal power plants by nuclear reactors? In this framework the author analyzes the network needs, the electricity sources and the demand answer and the specificities of the nuclear. (A.L.B.)

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

    Science.gov (United States)

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

    2015-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Jim Lewis

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

  17. Electricity demand load forecasting of the Hellenic power system using an ARMA model

    Energy Technology Data Exchange (ETDEWEB)

    Pappas, S.Sp. [ASPETE - School of Pedagogical and Technological Education Department of Electrical Engineering Educators N. Heraklion, 141 21 Athens (Greece); Ekonomou, L.; Chatzarakis, G.E.; Skafidas, P.D. [ASPETE-School of Pedagogical and Technological Education, Department of Electrical Engineering Educators, N. Heraklion, 141 21 Athens (Greece); Karampelas, P. [Hellenic American University, IT Department, 12 Kaplanon Str., 106 80 Athens (Greece); Karamousantas, D.C. [Technological Educational Institute of Kalamata, Antikalamos, 24 100 Kalamata (Greece); Katsikas, S.K. [University of Piraeus, Department of Technology Education and Digital Systems, 150 Androutsou St., 18 532 Piraeus (Greece)

    2010-03-15

    Effective modeling and forecasting requires the efficient use of the information contained in the available data so that essential data properties can be extracted and projected into the future. As far as electricity demand load forecasting is concerned time series analysis has the advantage of being statistically adaptive to data characteristics compared to econometric methods which quite often are subject to errors and uncertainties in model specification and knowledge of causal variables. This paper presents a new method for electricity demand load forecasting using the multi-model partitioning theory and compares its performance with three other well established time series analysis techniques namely Corrected Akaike Information Criterion (AICC), Akaike's Information Criterion (AIC) and Schwarz's Bayesian Information Criterion (BIC). The suitability of the proposed method is illustrated through an application to actual electricity demand load of the Hellenic power system, proving the reliability and the effectiveness of the method and making clear its usefulness in the studies that concern electricity consumption and electricity prices forecasts. (author)

  18. Estimating the net electricity energy generation and demand using the ant colony optimization approach. Case of Turkey

    Energy Technology Data Exchange (ETDEWEB)

    Toksari, M. Duran [Engineering Faculty, Industrial Engineering Department, Erciyes University, 38039 Kayseri (Turkey)

    2009-03-15

    This paper presents Turkey's net electricity energy generation and demand based on economic indicators. Forecasting model for electricity energy generation and demand is first proposed by the ant colony optimization (ACO) approach. It is multi-agent system in which the behavior of each ant is inspired by the foraging behavior of real ants to solve optimization problem. Ant colony optimization electricity energy estimation (ACOEEE) model is developed using population, gross domestic product (GDP), import and export. All equations proposed here are linear electricity energy generation and demand (linear{sub A}COEEGE and linear ACOEEDE) and quadratic energy generation and demand (quadratic{sub A}COEEGE and quadratic ACOEEDE). Quadratic models for both generation and demand provided better fit solution due to the fluctuations of the economic indicators. The ACOEEGE and ACOEEDE models indicate Turkey's net electricity energy generation and demand until 2025 according to three scenarios. (author)

  19. Estimating the net electricity energy generation and demand using the ant colony optimization approach: Case of Turkey

    Energy Technology Data Exchange (ETDEWEB)

    Toksari, M. Duran [Engineering Faculty, Industrial Engineering Department, Erciyes University, 38039 Kayseri (Turkey)], E-mail: dtoksari@erciyes.edu.tr

    2009-03-15

    This paper presents Turkey's net electricity energy generation and demand based on economic indicators. Forecasting model for electricity energy generation and demand is first proposed by the ant colony optimization (ACO) approach. It is multi-agent system in which the behavior of each ant is inspired by the foraging behavior of real ants to solve optimization problem. Ant colony optimization electricity energy estimation (ACOEEE) model is developed using population, gross domestic product (GDP), import and export. All equations proposed here are linear electricity energy generation and demand (linear{sub A}COEEGE and linear ACOEEDE) and quadratic energy generation and demand (quadratic{sub A}COEEGE and quadratic ACOEEDE). Quadratic models for both generation and demand provided better fit solution due to the fluctuations of the economic indicators. The ACOEEGE and ACOEEDE models indicate Turkey's net electricity energy generation and demand until 2025 according to three scenarios.

  20. Estimated winter 1980-1981 electric demand and supply, contiguous United States. Staff report

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-12-01

    This report summarizes the most recent data available concerning projected electrical peak demands and available power resouces for the 1980-1981 winter peak period, as reported by electric utilities in the contiguous United States. The data, grouped by Regional Reliability Council areas and by Electrical Regions within the Council areas, was obtained from the Form 12E-2 reports filed by utilities with the Department of Energy on October 15, 1980 (data as of September 30). In some instances the data were revised or verified by telephone. Considerations affecting reliability, arising from Nuclear Regulatory Commission actions based on lessons learned from the forced outage of Three Mile Island Nuclear Unit No. 2, were factored into the report. No widespread large-scale reliability problems are foreseen for electric power supply this winter, on the basis of the supply and demand projections furnished by the electric utilities. Reserve margins could drop in some electric regions to levels considered inadequate for reliable service, if historical forced-outage magnitudes recur.

  1. Efficient Use of Behavioral Tools to Reduce Electricity Demand of Domestic Consumers

    Directory of Open Access Journals (Sweden)

    Elbaz Shimon

    2016-12-01

    Full Text Available Purpose: The present study investigated the main literature on the subject of methods and policies for reducing the electricity demand of domestic consumers, in order to identify the place of behavioral tools. Methodology: We used secondary sources, performing a literature review, together with analysis and synthesis. Findings: Policy makers prefer to use tools offered by neoclassical economics, such as various forms of taxation, fines and financial incentives in order to make domestic electricity consumers save electricity, on the assumption that consumers will make rational decisions while maximizing their personal benefit. However, studies conducted in recent years in the field of behavioral economics, which are based on the assumption that consumers’ decisions are not rational and are affected by cognitive biases, showed that the use of behavioral tools, such as detailed online information (feedback,social comparison information, information on varying rates (dynamic pricing and general information (advertising campaign, are tools that are not less appropriate than the ones the neoclassical economics offers, mainly because electricity is an invisible product and consumers are unable to assess it by normal cognitive measures. Using an interdisciplinary combination of behavioral tools that come from a variety of approaches taken from a wide variety of different academic fields, it is possible to receive efficient results in the endeavor of reducing electricity demand. Implications: Although the neoclassical economics still remains the fundamental theory used by policymakers, it is recommended to consider behavioral economics as a complementary approach to the neoclassical economics, and combine behavioral tools in the policymakers’ toolbox, especially when those tools do not require a significant financial investment, thus efficiently maximizing the reduction of electricity demand among domestic consumers. These theoretical results will be

  2. Energy systems scenario modelling and long term forecasting of hourly electricity demand

    Directory of Open Access Journals (Sweden)

    Poul Alberg Østergaard

    2015-06-01

    Full Text Available The Danish energy system is undergoing a transition from a system based on storable fossil fuels to a system based on fluctuating renewable energy sources. At the same time, more of and more of the energy system is becoming electrified; transportation, heating and fuel usage in industry and elsewhere. This article investigates the development of the Danish energy system in a medium year 2030 situation as well as in a long-term year 2050 situation. The analyses are based on scenario development by the Danish Climate Commission. In the short term, it is investigated what the effects will be of having flexible or inflexible electric vehicles and individual heat pumps, and in the long term it is investigated what the effects of changes in the load profiles due to changing weights of demand sectors are. The analyses are based on energy systems simulations using EnergyPLAN and demand forecasting using the Helena model. The results show that even with a limited short-term electric car fleet, these will have a significant effect on the energy system; the energy system’s ability to integrated wind power and the demand for condensing power generation capacity in the system. Charging patterns and flexibility have significant effects on this. Likewise, individual heat pumps may affect the system operation if they are equipped with heat storages. The analyses also show that the long-term changes in electricity demand curve profiles have little impact on the energy system performance. The flexibility given by heat pumps and electric vehicles in the long-term future overshadows any effects of changes in hourly demand curve profiles.

  3. Assessment of demand for natural gas from the electricity sector in India

    DEFF Research Database (Denmark)

    Shukla, P.R.; Dhar, Subash; Victor, David G.

    2009-01-01

    competes with coal as a base-load option if price difference is below US $ 4 per MBtu. At higher price difference gas penetrates only the peak power market. Gas demand is lower in the high economic growth scenario, since electricity sector is more flexible in substitution of primary energy. Gas demand...... reduces also in cases when coal supply curve shifts rightwards such as under coal reforms and coal-by-wire scenarios. Local environmental (SO2 emissions) control promotes end of pipe solutions flue gas de-sulfurisation (FGD) initially, though in the longer term mitigation happens by fuel substitution...

  4. Climate Change Impacts on Electricity Demand and Supply in the United States: A Multi-Model Comparison

    Science.gov (United States)

    This paper compares the climate change impacts on U.S. electricity demand and supply from three models: the Integrated Planning Model (IPM), the Regional Energy Deployment System (ReEDS) model, and GCAM. Rising temperatures cause an appreciable net increase in electricity demand....

  5. Power System Transient Stability Improvement Using Demand Side Management in Competitive Electricity Markets

    DEFF Research Database (Denmark)

    Hu, Weihao; Wang, Chunqi; Chen, Zhe

    2012-01-01

    Since the hourly spot market price is available one day ahead in Denmark, the price could be transferred to the consumers and they may shift some of their loads from high price periods to the low price periods in order to save their energy costs. The optimal load response to an electricity price...... for demand side management generates different load profiles and may provide an opportunity to improve the transient stability of power systems with high wind power penetrations. In this paper, the idea of the power system transient stability improvement by using optimal load response to the electricity...

  6. Medium- and long-term electric power demand forecasting based on the big data of smart city

    Science.gov (United States)

    Wei, Zhanmeng; Li, Xiyuan; Li, Xizhong; Hu, Qinghe; Zhang, Haiyang; Cui, Pengjie

    2017-08-01

    Based on the smart city, this paper proposed a new electric power demand forecasting model, which integrates external data such as meteorological information, geographic information, population information, enterprise information and economic information into the big database, and uses an improved algorithm to analyse the electric power demand and provide decision support for decision makers. The data mining technology is used to synthesize kinds of information, and the information of electric power customers is analysed optimally. The scientific forecasting is made based on the trend of electricity demand, and a smart city in north-eastern China is taken as a sample.

  7. A Neuro-Fuzzy Approach for Modelling Electricity Demand in Victoria

    OpenAIRE

    Abraham, Ajith; Nath, Baikunth

    2004-01-01

    Neuro-fuzzy systems have attracted growing interest of researchers in various scientific and engineering areas due to the increasing need of intelligent systems. This paper evaluates the use of two popular soft computing techniques and conventional statistical approach based on Box--Jenkins autoregressive integrated moving average (ARIMA) model to predict electricity demand in the State of Victoria, Australia. The soft computing methods considered are an evolving fuzzy neural network (EFuNN) ...

  8. Alleviating a form of electric vehicle range anxiety through on-demand vehicle access

    Science.gov (United States)

    King, Christopher; Griggs, Wynita; Wirth, Fabian; Quinn, Karl; Shorten, Robert

    2015-04-01

    On-demand vehicle access is a method that can be used to reduce types of range anxiety problems related to planned travel for electric vehicle owners. Using ideas from elementary queueing theory, basic quality of service (QoS) metrics are defined to dimension a shared fleet to ensure high levels of vehicle access. Using mobility data from Ireland, it is argued that the potential cost of such a system is very low.

  9. Using Exponential Modeling for DLC Demand Response Programs in Electricity Markets

    Directory of Open Access Journals (Sweden)

    Shoorangiz Shams Shamsabad Farahani

    2012-04-01

    Full Text Available Deregulation of power system has introduced new objectives and subjects in electric power systems. Along with expansion of deregulated systems in countries, new subjects such as Demand Response Programs (DRPs have been provided to evaluate the effect of demand-side in electricity market. Participation of demandside in network improves power system utilization, operation and also has a great effect on system social welfare. DRPs are divided into two categories which are priced-based and incentive-based demand response programs.With Regard to the problem, in this study an exponential modeling of Direct Load Control programs (DLC in investigated as incentive-based DRPs. In order to more realistic modeling of demand response to DLC rates, the nonlinear behavioral characteristic of elastic loads is incorporated. Iranian power system with load profile of the peak day is considered to evaluate the effectiveness of the proposed technique. Simulation results demonstrate the great impact of running DLC programs using the proposed exponential model. Simulation results are carried out on MATLAB software by numerical simulations.

  10. Impacts of Various Characteristics of Electricity and Heat Demand on the Optimal Configuration of a Microgrid

    Science.gov (United States)

    Bando, Shigeru; Watanabe, Hiroki; Asano, Hiroshi; Tsujita, Shinsuke

    A methodology was developed to design the number and capacity for each piece of equipment (e.g. gas engines, batteries, thermal storage tanks) in microgrids with combined heat and power systems. We analyzed three types of microgrids; the first one consists of an office building and an apartment, the second one consists of a hospital and an apartment, the third one consists of a hotel, office and retails. In the methodology, annual cost is minimized by considering the partial load efficiency of a gas engine and its scale economy, and the optimal number and capacity of each piece of equipment and the annual operational schedule are determined by using the optimal planning method. Based on calculations using this design methodology, it is found that the optimal number of gas engines is determined by the ratio of bottom to peak of the electricity demand and the ratio of heat to electricity demand. The optimal capacity of a battery required to supply electricity for a limited time during a peak demand period is auxiliary. The thermal storage tank for space cooling and space heating is selected to minimize the use of auxiliary equipment such as a gas absorption chiller.

  11. Impacts of demand response and renewable generation in electricity power market

    Science.gov (United States)

    Zhao, Zhechong

    This thesis presents the objective of the research which is to analyze the impacts of uncertain wind power and demand response on power systems operation and power market clearing. First, in order to effectively utilize available wind generation, it is usually given the highest priority by assigning zero or negative energy bidding prices when clearing the day-ahead electric power market. However, when congestion occurs, negative wind bidding prices would aggravate locational marginal prices (LMPs) to be negative in certain locations. A load shifting model is explored to alleviate possible congestions and enhance the utilization of wind generation, by shifting proper amount of load from peak hours to off peaks. The problem is to determine proper amount of load to be shifted, for enhancing the utilization of wind generation, alleviating transmission congestions, and making LMPs to be non-negative values. The second piece of work considered the price-based demand response (DR) program which is a mechanism for electricity consumers to dynamically manage their energy consumption in response to time-varying electricity prices. It encourages consumers to reduce their energy consumption when electricity prices are high, and thereby reduce the peak electricity demand and alleviate the pressure to power systems. However, it brings additional dynamics and new challenges on the real-time supply and demand balance. Specifically, price-sensitive DR load levels are constantly changing in response to dynamic real-time electricity prices, which will impact the economic dispatch (ED) schedule and in turn affect electricity market clearing prices. This thesis adopts two methods for examining the impacts of different DR price elasticity characteristics on the stability performance: a closed-loop iterative simulation method and a non-iterative method based on the contraction mapping theorem. This thesis also analyzes the financial stability of DR load consumers, by incorporating

  12. Forecasting Peak Load Electricity Demand Using Statistics and Rule Based Approach

    Directory of Open Access Journals (Sweden)

    Z. Ismail

    2009-01-01

    Full Text Available Problem statement: Forecasting of electricity load demand is an essential activity and an important function in power system planning and development. It is a prerequisite to power system expansion planning as the world of electricity is dominated by substantial lead times between decision making and its implementation. The importance of demand forecasting needs to be emphasized at all level as the consequences of under or over forecasting the demand are serious and will affect all stakeholders in the electricity supply industry. Approach: If under estimated, the result is serious since plant installation cannot easily be advanced, this will affect the economy, business, loss of time and image. If over estimated, the financial penalty for excess capacity (i.e., over-estimated and wasting of resources. Therefore this study aimed to develop new forecasting model for forecasting electricity load demand which will minimize the error of forecasting. In this study, we explored the development of rule-based method for forecasting electricity peak load demand. The rule-based system synergized human reasoning style of fuzzy systems through the use of set of rules consisting of IF-THEN approximators with the learning and connectionist structure. Prior to the implementation of rule-based models, SARIMAT model and Regression time series were used. Results: Modification of the basic regression model and modeled it using Box-Jenkins auto regressive error had produced a satisfactory and adequate model with 2.41% forecasting error. With rule-based based forecasting, one can apply forecaster expertise and domain knowledge that is appropriate to the conditions of time series. Conclusion: This study showed a significant improvement in forecast accuracy when compared with the traditional time series model. Good domain knowledge of the experts had contributed to the increase in forecast accuracy. In general, the improvement will depend on the conditions of the data

  13. Contrasting Electricity Demand with Wind Power Supply: Case Study in Hungary

    Directory of Open Access Journals (Sweden)

    Imre M. Jánosi

    2009-09-01

    Full Text Available We compare the demand of a large electricity consumer with supply given by wind farms installed at two distant geographic locations. Obviously such situation is rather unrealistic, however our main goal is a quantitative characterization of the intermittency of wind electricity. The consumption pattern consists of marked daily and weekly cycles interrupted by periods of holidays. In contrast, wind electricity production has neither short-time nor seasonal periodicities. We show that wind power integration over a restricted area cannot provide a stable baseload supply, independently of the excess capacity. Further essential result is that the statistics are almost identical for a weekly periodic pattern of consumption and a constant load of the same average value. The length of both adequate supply and shortfall intervals exhibits a scale-free (power-law frequency distribution, possible consequences are shortly discussed.

  14. Determinants of Electricity Demand in Nonmetallic Mineral Products Industry: Evidence from a Comparative Study of Japan and China

    Directory of Open Access Journals (Sweden)

    Gang Du

    2015-06-01

    Full Text Available Electricity intensity is an important indicator for measuring production efficiency. A comparative study could offer a new perspective on investigating determinants of electricity demand. The Japanese non-metallic mineral products industry is chosen as the object for comparison considering its representative position in production efficiency. By adopting the cointegration model, this paper examines influencing factors of electricity demand in Japanese and Chinese non-metallic mineral products industries under the same framework. Results indicate that although economic growth and industrial development stages are different between the two countries, major factors that affect the sectoral energy consumption are the same. Specifically, economic growth and industrial activity contribute to the growth of sectoral electricity consumption, while R&D intensity, per capita productivity and electricity price are contributors to the decline of sectoral electricity consumption. Finally, in order to further investigate the development trend of sectoral electricity demand, future electricity consumption and conservation potential are predicted under different scenarios. Electricity demand of the Chinese non-metallic mineral products industry is predicted to be 680.53 TWh (terawatt-hours in 2020 and the sectoral electricity conservation potentials are estimated to be 118.26 TWh and 216.25 TWh under the moderate and advanced electricity-saving scenarios, respectively.

  15. Demand-Side Management and Integrated Resource Planning: Findings from a Survey of 24 Electric Utilities

    Energy Technology Data Exchange (ETDEWEB)

    Schweitzer, M.

    1991-01-01

    Integrated resource planning differs from traditional utility planning practices primarily in its increased attention to demand-side management (DSM) programs and its integration of supply- and demand-side resources into a combined resource portfolio. This report details the findings from an Oak Ridge National Laboratory (ORNL) survey of 24 electric utilities that have well-developed integrated planning processes. These utilities account for roughly one-third of total capacity, electricity generation, and DSM-program expenditures nationwide. The ORNL survey was designed to obtain descriptive data on a national sample of utilities and to test a number of hypothesized relationships between selected utility characteristics and the mix of resources selected for the integrated plan, with an emphasis on the use of DSM resources and the processes by which they are chosen. The survey solicited information on each utility's current and projected resource mix, operating environment, procedures used to screen potential DSM resources, techniques used to obtain public input and to integrate supply- and demand-side options into a unified plan, and procedures used in the final selection of resources for the plan.

  16. Ice Storage Air-Conditioning System Simulation with Dynamic Electricity Pricing: A Demand Response Study

    Directory of Open Access Journals (Sweden)

    Chi-Chun Lo

    2016-02-01

    Full Text Available This paper presents an optimal dispatch model of an ice storage air-conditioning system for participants to quickly and accurately perform energy saving and demand response, and to avoid the over contact with electricity price peak. The schedule planning for an ice storage air-conditioning system of demand response is mainly to transfer energy consumption from the peak load to the partial-peak or off-peak load. Least Squares Regression (LSR is used to obtain the polynomial function for the cooling capacity and the cost of power consumption with a real ice storage air-conditioning system. Based on the dynamic electricity pricing, the requirements of cooling loads, and all technical constraints, the dispatch model of the ice-storage air-conditioning system is formulated to minimize the operation cost. The Improved Ripple Bee Swarm Optimization (IRBSO algorithm is proposed to solve the dispatch model of the ice storage air-conditioning system in a daily schedule on summer. Simulation results indicate that reasonable solutions provide a practical and flexible framework allowing the demand response of ice storage air-conditioning systems to demonstrate the optimization of its energy savings and operational efficiency and offering greater energy efficiency.

  17. Electric Power Research Institute, Environmental Control Technology Center monthly report to the Steering Committee, June 1994

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1994-11-02

    Operations and maintenance continued this month at the Electric Power Research Institute`s Environmental Control Technology Center. Testing on the 4.0 MW Pilot FGD unit continued this month with High Velocity Scrubbing and the Tampa Electric Company (TECO) Tailored Collaboration test block. Additionally, Phase III of the Toxics Removal/Carbon Injection test block was conducted concurrently with FGD testing. At the beginning of the month, a second phase of third-party testing began for Suncor, Inc. The Suncor Gypsum Sample Collection test block (MSUN) began on June 5 on the 0.4 MW Mini-Pilot Wet FGD unit. Testing was completed on June 13. On the Cold-Side Selective Catalytic Reduction (SCR) unit, testing continued this month as ammonia slip measurements were conducted under low catalyst inlet temperatures and at baseline conditions.

  18. Entity’s Irregular Demand Scheduling of the Wholesale Electricity Market based on the Forecast of Hourly Price Ratios

    Directory of Open Access Journals (Sweden)

    O. V. Russkov

    2015-01-01

    Full Text Available The article considers a hot issue to forecast electric power demand amounts and prices for the entities of wholesale electricity market (WEM, which are in capacity of a large user with production technology requirements prevailing over hourly energy planning ones. An electric power demand of such entities is on irregular schedule. The article analyses mathematical models, currently applied to forecast demand amounts and prices. It describes limits of time-series models and fundamental ones in case of hourly forecasting an irregular demand schedule of the electricity market entity. The features of electricity trading at WEM are carefully analysed. Factors that influence on irregularity of demand schedule of the metallurgical plant are shown. The article proposes method for the qualitative forecast of market price ratios as a tool to reduce a dependence on the accuracy of forecasting an irregular schedule of demand. It describes the differences between the offered method and the similar ones considered in research studies and scholarly works. The correlation between price ratios and relaxation in the requirements for the forecast accuracy of the electric power consumption is analysed. The efficiency function of forecast method is derived. The article puts an increased focus on description of the mathematical model based on the method of qualitative forecast. It shows main model parameters and restrictions the electricity market imposes on them. The model prototype is described as a programme module. Methods to assess an effectiveness of the proposed forecast model are examined. The positive test results of the model using JSC «Volzhsky Pipe Plant» data are given. A conclusion is drawn concerning the possibility to decrease dependence on the forecast accuracy of irregular schedule of entity’s demand at WEM. The effective trading tool has been found for the entities of irregular demand schedule at WEM. The tool application allows minimizing cost

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

    Science.gov (United States)

    McDonald, Betsy

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

  20. Survey of electric utility demand for coal. [1972-1992; by utility and state

    Energy Technology Data Exchange (ETDEWEB)

    Asbury, J.G.; Caruso, J.V.; Kouvalis, A.; Maslowski, C.S.

    1979-08-01

    This report presents the results of a survey of electric utility demand for coal in the United States. The sources of survey information are: (1) Federal Energy Regulatory Commission Form 423 data on utility coal purchases during the period July 1972 through December 1978 and (2) direct telephone survey data on utility coal-purchase intentions for power plants to be constructed by 1992. Price and quantity data for coal used in existing plants are presented to illustrate price and market-share trends in individual coal-consuming states during recent years. Coal source, quality, quantity, and transportation data are reported for existing and planned generating plants.

  1. THERMOCHEMICAL ENERGY STORAGE FOR SEASONAL BALANCE OF SURPLUS ELECTRICITY AND HEAT DEMAND IN DOMESTIC BUILDINGS

    OpenAIRE

    Schmidt, Matthias; Linder, Marc Philipp

    2016-01-01

    Thermochemical storage systems are predestined to store thermal energy for a long time since the storage principle itself is free of losses and allows for very high energy densities. Therefore we developed a new approach where electricity, p. e. from private PV-panels in the summer, is used to charge a thermochemical reaction system. The reaction product then can be stored in an inexpensive tank at room temperature. If there is heat demand during the winter part of the material can be supplie...

  2. Survey of electric utility demand for western coal. [1972-6 actual; 1976-1985 estimated

    Energy Technology Data Exchange (ETDEWEB)

    Asbury, J.G.; Kim, H.R.; Kouvalis, A.

    1977-01-01

    This report presents the results of a survey of electric utility demand for western coal. The sources of survey information are: (1) Federal Power Commission Form 423 data on utility coal purchases covering the period July 1972 through June 1976 and (2) direct survey data on utility coal-purchase intentions for power plants to be constructed by 1985. Price and quantity data for western coal consumed in existing plants have been assembled and presented to illustrate price and market-share trends in individual consuming regions over recent years. Coal source, quality, and quantity data are presented for existing and planned generating plants.

  3. Reducing Residential Peak Electricity Demand with Mechanical Pre-Cooling of Building Thermal Mass

    Energy Technology Data Exchange (ETDEWEB)

    Turner, Will [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Walker, Iain [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Roux, Jordan [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2014-08-01

    This study uses an advanced airflow, energy and humidity modelling tool to evaluate the potential for residential mechanical pre-cooling of building thermal mass to shift electricity loads away from the peak electricity demand period. The focus of this study is residential buildings with low thermal mass, such as timber-frame houses typical to the US. Simulations were performed for homes in 12 US DOE climate zones. The results show that the effectiveness of mechanical pre-cooling is highly dependent on climate zone and the selected pre-cooling strategy. The expected energy trade-off between cooling peak energy savings and increased off-peak energy use is also shown.

  4. Modeling Demand Response in Electricity Retail Markets as a Stackelberg Game

    DEFF Research Database (Denmark)

    Zugno, Marco; Morales González, Juan Miguel; Pinson, Pierre

    We model the retail market with dynamic pricing as a Stackelberg game where both retailers (leaders) and flexible consumers (followers) solve an economic cost-minimization problem. The electricity retailer optimizes an economic objective over a daily horizon by setting an hourly price-sequence, w......We model the retail market with dynamic pricing as a Stackelberg game where both retailers (leaders) and flexible consumers (followers) solve an economic cost-minimization problem. The electricity retailer optimizes an economic objective over a daily horizon by setting an hourly price...... with Equilibrium Constraints (MPEC) and cast as a Mixed Integer Linear Program (MILP), which can be solved using off-the-shelf optimization software. In an illustrative example, we consider a retailer associated with both flexible demand and wind power production. Such an example shows the efficiency of dynamic...

  5. Evaluation of power demand adjustment of heavy electrical manufacturing industry under the seasonal fare system

    Energy Technology Data Exchange (ETDEWEB)

    Asano, Hiroshi; Sagai, Shigeo; Yamachi, Kenji

    1988-01-25

    A scheduling simulation model which is applicable to the whole stages of turbine generator was developed. A focus was set on a rotor balance test and electric testing system from the results of the preliminary examination. Assessment of short-term operation cost consisting of electricity cost and labor cost was made. As a result, a load shift by rescheduling reached 203 - 257 MWh which corresponded to 22 - 28% of the testing power and 5.6 - 7.1% of total amount of the power. Amount of reduced cost was 5.74 million yen including the saving of a demand fare which corresponded to 8.9% of actual total power cost (64.82 million yen for 26 days). But, because of fluctuation of testing of large size generator, conditions are not always satisfied which may reduce an incentive for selecting a seasonal fare system. (1 fig, 5 tabs, 7 refs)

  6. Review of Real-time Electricity Markets for Integrating Distributed Energy Resources and Demand Response

    DEFF Research Database (Denmark)

    Wang, Qi; Zhang, Chunyu; Ding, Yi

    2015-01-01

    reviews typical RTMs respectively in the North America, Australia and Europe, focusing on their market architectures and incentive policies for integrating DER and DR in electricity markets. In this paper, RTMs are classified into three groups: Group I applies nodal prices implemented by optimal power......The high penetration of both Distributed Energy Resources (DER) and Demand Response (DR) in modern power systems requires a sequence of advanced strategies and technologies for maintaining system reliability and flexibility. Real-time electricity markets (RTM) are the nondiscriminatory transaction...... flow, which clears energy prices every 5 minutes. Group II applies zonal prices, with the time resolution of 5-min. Group III is a general balancing market, which clears zonal prices intro-hourly. The various successful RTM experiences have been summarized and discussed, which provides a technical...

  7. Natural graphite demand and supply - Implications for electric vehicle battery requirements

    Science.gov (United States)

    Olson, Donald W.; Virta, Robert L.; Mahdavi, Mahbood; Sangine, Elizabeth S.; Fortier, Steven M.

    2016-01-01

    Electric vehicles have been promoted to reduce greenhouse gas emissions and lessen U.S. dependence on petroleum for transportation. Growth in U.S. sales of electric vehicles has been hindered by technical difficulties and the high cost of the lithium-ion batteries used to power many electric vehicles (more than 50% of the vehicle cost). Groundbreaking has begun for a lithium-ion battery factory in Nevada that, at capacity, could manufacture enough batteries to power 500,000 electric vehicles of various types and provide economies of scale to reduce the cost of batteries. Currently, primary synthetic graphite derived from petroleum coke is used in the anode of most lithium-ion batteries. An alternate may be the use of natural flake graphite, which would result in estimated graphite cost reductions of more than US$400 per vehicle at 2013 prices. Most natural flake graphite is sourced from China, the world's leading graphite producer. Sourcing natural flake graphite from deposits in North America could reduce raw material transportation costs and, given China's growing internal demand for flake graphite for its industries and ongoing environmental, labor, and mining issues, may ensure a more reliable and environmentally conscious supply of graphite. North America has flake graphite resources, and Canada is currently a producer, but most new mining projects in the United States require more than 10 yr to reach production, and demand could exceed supplies of flake graphite. Natural flake graphite may serve only to supplement synthetic graphite, at least for the short-term outlook.

  8. FedEx Express Gasoline Hybrid Electric Delivery Truck Evaluation: 12-Month Report

    Energy Technology Data Exchange (ETDEWEB)

    Barnitt, R.

    2011-01-01

    This report summarizes the data obtained in a 12-month comparison of three gasoline hybrid electric delivery vehicles with three comparable diesel vehicles. The data show that there was no statistical difference between operating cost per mile of the two groups of vehicles. As expected, tailpipe emissions were considerably lower across all drive cycles for the gHEV than for the diesel vehicle.

  9. FedEx Express Gasoline Hybrid Electric Delivery Truck Evaluation: 12-Month Report

    Energy Technology Data Exchange (ETDEWEB)

    Barnitt, R.

    2011-01-01

    This report summarizes the data obtained in a 12-month comparison of three gasoline hybrid electric delivery vehicles with three comparable diesel vehicles. The data show that there was no statistical difference between operating cost per mile of the two groups of vehicles. As expected, tailpipe emissions were considerably lower across all drive cycles for the gHEV than for the diesel vehicle.

  10. Electricity Demand Projection Using a Path-Coefficient Analysis and BAG-SA Approach: A Case Study of China

    Directory of Open Access Journals (Sweden)

    Qunli Wu

    2017-01-01

    Full Text Available Path-coefficient analysis is utilized to investigate the direct and indirect effects of economic growth, population growth, urbanization rate, industrialization level, and carbon intensity on electricity demand of China. To improve the projection accuracy of electricity demand, this study proposes a hybrid bat algorithm, Gaussian perturbations, and simulated annealing (BAG-SA optimization method. The proposed BAG-SA algorithm not only inherits the simplicity and efficiency of the standard BA with a capability of searching for global optimality but also enhances local search ability and speeds up the global convergence rate. The BAG-SA algorithm is employed to optimize the coefficients of the multiple linear and quadratic forms of electricity demand estimation model. Results indicate that the proposed algorithm has higher precision and reliability than the coefficients optimized by other single-optimization methods, such as genetic algorithm, particle swarm optimization algorithm, or bat algorithm. And the quadratic form of BAG-SA electricity demand estimation model has better fitting ability compared with the multiple linear form of the model. Therefore, the quadratic form of the model is applied to estimate electricity demand of China from 2016 to 2030. The findings of this study demonstrate that China’s electricity demand will reach 14925200 million KWh in 2030.

  11. High-resolution temperature fields to evaluate the response of Italian electricity demand to meteorological variables: an example of climate service for the energy sector

    Science.gov (United States)

    Scapin, Simone; Apadula, Francesco; Brunetti, Michele; Maugeri, Maurizio

    2016-08-01

    The dependence of Italian daily electricity demand on cooling degree-days, heating degree-days and solar radiation is investigated by means of a regression model applied to 12 consecutive 2-year intervals in the 1990-2013 period. The cooling and heating degree-days records used in the model are obtained by (i) estimating, by means of a network of 92 synoptic stations and high-resolution gridded temperature climatologies, a daily effective temperature record for all urbanised grid points of a high-resolution grid covering Italy; (ii) using these records to calculate corresponding grid point degree-days records; and (iii) averaging them to get national degree-days records representative of urban areas. The solar radiation record is obtained with the same averaging approach, with grid point solar radiation estimated from the corresponding daily temperature range. The model is based on deterministic components related to the weekly cyclical pattern of demand and to long-term demand changes and on weather-sensitive components related to cooling degree-days, heating degree-days and solar radiation. It establishes a strong contribution of cooling degree-days to the Italian electricity demand, with values peaking in summer months of the latest years up to 211 GWh day-1 (i.e. about 23 % of the corresponding average Italian electricity demand). This contribution shows a strong positive trend in the period considered here: the coefficient of the cooling degree-days term in the regression models increases from the first 2-year period (1990-1991) to the last one (2012-2013) by a factor 3.5, which is much greater than the increase of the Italian total electricity demand.

  12. Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results

    Energy Technology Data Exchange (ETDEWEB)

    Coughlin, Katie [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division; Shen, Hongxia [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division; Chan, Peter [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division; McDevitt, Brian [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division; Sturges, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division

    2013-02-07

    Policies aimed at energy conservation and efficiency have broad environmental and economic impacts. Even if these impacts are relatively small, they may be significant compared to the cost of implementing the policy. Methodologies that quantify the marginal impacts of reduced demand for energy have an important role to play in developing accurate measures of both the benefits and costs of a given policy choice. This report presents a methodology for estimating the impacts of reduced demand for electricity on the electric power sector as a whole. The approach uses the National Energy Modeling System (NEMS), a mid-range energy forecast model developed and maintained by the U.S. Department of Energy, Energy Information Administration (EIA)(DOE EIA 2013). The report is organized as follows: In the rest of this section the traditional NEMS-BT approach is reviewed and an outline of the new reduced form NEMS methodology is presented. Section 2 provides an overview of how the NEMS model works, and describes the set of NEMS-BT runs that are used as input to the reduced form approach. Section 3 presents our NEMS-BT simulation results and post-processing methods. In Section 4 we show how the NEMS-BT output can be generalized to apply to a broader set of end-uses. In Section 5 we disuss the application of this approach to policy analysis, and summarize some of the issues that will be further investigated in Part 2 of this study.

  13. Regional electric power demand elasticities of Japan's industrial and commercial sectors

    Energy Technology Data Exchange (ETDEWEB)

    Hosoe, Nobuhiro [National Graduate Institute for Policy Studies, 7-22-1 Roppongi, Minato, Tokyo 106-8677 (Japan); Akiyama, Shu-ichi [Kushiro Public University of Economics, 4-1-1 Ashino, Kushiro, Hokkaido 085-8585 (Japan)

    2009-11-15

    In the assessment and review of regulatory reforms in the electric power market, price elasticity is one of the most important parameters that characterize the market. However, price elasticity has seldom been estimated in Japan; instead, it has been assumed to be as small as 0.1 or 0 without proper examination of the empirical validity of such a priori assumptions. We estimated the regional power demand functions for nine regions, in order to quantify the elasticity, and found the short-run price elasticity to be 0.09-0.30 and the long-run price elasticity to be 0.12-0.56. Inter-regional comparison of our estimation results suggests that price elasticity in rural regions is larger than that in urban regions. Popular assumptions of small elasticity of 0.1, for example, could be suitable for examining Japan's aggregate power demand but not power demand functions that focus on respective regions. Furthermore, assumptions about smaller elasticity values such as 0.01 and 0 could not be supported statistically by this study. (author)

  14. An analysis of the factors influencing demand-side management activity in the electric utility industry

    Science.gov (United States)

    Bock, Mark Joseph

    Demand-side management (DSM), defined as the "planning, implementation, and monitoring of utility activities designed to encourage consumers to modify their pattern of electricity usage, including the timing and level of electricity demand," is a relatively new concept in the U.S. electric power industry. Nevertheless, in twenty years since it was first introduced, utility expenditures on DSM programs, as well as the number of such programs, have grown rapidly. At first glance, it may seem peculiar that a firm would actively attempt to reduce demand for its primary product. There are two primary explanations as to why a utility might pursue DSM: regulatory mandate, and self-interest. The purpose of this dissertation is to determine the impact these influences have on the amount of DSM undertaken by utilities. This research is important for two reasons. First, it provides insight into whether DSM will continue to exist as competition becomes more prevalent in the industry. Secondly, it is important because no one has taken a comprehensive look at firm-level DSM activity on an industry-wide basis. The primary data set used in this dissertation is the U.S. Department of Energy's Annual Electric Utility Report, Form EIA-861, which represents the most comprehensive data set available for analyzing DSM activity in the U.S. There are four measures of DSM activity in this data set: (1) utility expenditures on DSM programs; (2) energy savings by DSM program participants; and (3) the actual and (4) the potential reductions in peak load resulting from utility DSM measures. Each is used as the dependent variable in an econometric analysis where independent variables include various utility characteristics, regulatory characteristics, and service territory and customer characteristics. In general, the results from the econometric analysis suggest that in 1993, DSM activity was primarily the result of regulatory pressure. All of the evidence suggests that if DSM continues to

  15. A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind power

    DEFF Research Database (Denmark)

    Zhang, Ning; Hu, Zhaoguang; Han, Xue

    2015-01-01

    commitment model is proposed in this paper considering demand response and electric vehicles, which can promote the exploitation of wind power. On the one hand, demand response and electric vehicles have the feasi- bility to change the load demand curve to solve the mismatch problem. On the other hand......, they can serve as reserve for wind power. To deal with the unit commitment problem, authors use a fuzzy chance- constrained program that takes into account the wind power forecasting errors. The numerical study shows that the model can promote the utilization of wind power evidently, making the power...

  16. Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models

    Energy Technology Data Exchange (ETDEWEB)

    Pappas, S.S. [Department of Information and Communication Systems Engineering, University of the Aegean, Karlovassi, 83 200 Samos (Greece); Ekonomou, L.; Chatzarakis, G.E. [Department of Electrical Engineering Educators, ASPETE - School of Pedagogical and Technological Education, N. Heraklion, 141 21 Athens (Greece); Karamousantas, D.C. [Technological Educational Institute of Kalamata, Antikalamos, 24100 Kalamata (Greece); Katsikas, S.K. [Department of Technology Education and Digital Systems, University of Piraeus, 150 Androutsou Srt., 18 532 Piraeus (Greece); Liatsis, P. [Division of Electrical Electronic and Information Engineering, School of Engineering and Mathematical Sciences, Information and Biomedical Engineering Centre, City University, Northampton Square, London EC1V 0HB (United Kingdom)

    2008-09-15

    This study addresses the problem of modeling the electricity demand loads in Greece. The provided actual load data is deseasonilized and an AutoRegressive Moving Average (ARMA) model is fitted on the data off-line, using the Akaike Corrected Information Criterion (AICC). The developed model fits the data in a successful manner. Difficulties occur when the provided data includes noise or errors and also when an on-line/adaptive modeling is required. In both cases and under the assumption that the provided data can be represented by an ARMA model, simultaneous order and parameter estimation of ARMA models under the presence of noise are performed. The produced results indicate that the proposed method, which is based on the multi-model partitioning theory, tackles successfully the studied problem. For validation purposes the produced results are compared with three other established order selection criteria, namely AICC, Akaike's Information Criterion (AIC) and Schwarz's Bayesian Information Criterion (BIC). The developed model could be useful in the studies that concern electricity consumption and electricity prices forecasts. (author)

  17. Electric power market liberalization and demand-side management (DSM); Denryoku shijo jiyuka to DSM

    Energy Technology Data Exchange (ETDEWEB)

    Yajima, M. [Central Research Institute of Electric Power Industry, Tokyo (Japan)

    1997-01-30

    This paper explains effects of market liberalization which will lead to introducing competition in electric power business on demand-side management (DSM), by quoting examples mainly in the United States. The paper also describes the future outlook thereon. The DSM program in the United States has expanded for the period between 1989 through 1994. However, during the last few years, the movements of electric power market liberalization have come to force electric power business entities to change their management strategies and reduction in expense. This situation has resulted in reduction in the DSM budget. Future DSM programs are thought to diversify into the following types: a program such as load management which has effect of reducing expenses and investments in investment time periods of 5 to 10 years, a program effective for users such as high-efficiency motors which have effects of reducing expenses and improving efficiency in investment time periods of 3 to 5 years, a program which will be effective enough if market barriers are removed after the market conversions, but requires subsidies and purchase guarantees, and a social program intended for environmental effects and low-income users. 4 refs., 1 tab.

  18. Supply-side-demand-side optimization and cost-environment trade offs for China`s coal and electricity system

    Energy Technology Data Exchange (ETDEWEB)

    Xie Zhijun; Kuby, M. [Boston University, Boston, MA (United States). Dept. of Geography, Center for Energy and Environmental Studies

    1997-02-01

    The authors simultaneously optimize supply-side and demand-size investments for satisfying China`s coal and electricity needs over a 15 year time horizon. The results are compared to equivalent results from a supply-side only optimization assuming a business-as-usual demand scenario. It is estimated that, by shifting investment from energy production and transportation to energy efficiency improvement, China could meet the same energy service demand in 2000 for 7% less cost and 120 million tons (mt) less coal. Alternatively, for greater environmental protection, China could satisfy the same demands at the same cost using 275 mt coal. 27 refs., 6 figs.

  19. Simulation of Electricity Demand Function in Agricultural Sector: An Application of Genetic Algorithm (Case Study: Electricity-Fed Wells of Iran

    Directory of Open Access Journals (Sweden)

    Hossein Sadeghi

    2014-11-01

    Full Text Available Due to several problems arisen from consumption of gas oil, it is necessary to electricity substitute fossil fuels in agriculture wells in Iran. Problems such as lack of opportune and adequate supply of fuel, air and soil pollution, noise pollution and huge costs of installation, operation and maintenance imply the necessity of replacing gas oil systems by electricity-consuming ones in agriculture sector of Iran.However, it is essential to study on the demand of electricity, nowadays, substituting other energy sources.As water wells are the main electricity consumersin agriculture sector, the estimation of energy demand function would be beneficial for policy makers to achieve their goals. The present paper investigates on energy demand function in agriculture sector of Iran.Genetic algorithm techniques are appliedto estimate electricity demand in agricultural sector in three forms: linear, quadratic and exponential equations. Based on the conventional criteria, the exponential model is selected as the best model for estimation. Furthermore, electricity demand of agricultural sector is forecasted under three scenarios for years next three years.

  20. Assessing the influence of manufacturing sectors on electricity demand. A cross-country input-output approach

    Energy Technology Data Exchange (ETDEWEB)

    Tarancon, Miguel Angel; Callejas Albinana, Fernando [Faculty of Law and Social Sciences, Universidad de Castilla - La Mancha, Ronda de Toledo s/n, 13071 Ciudad Real (Spain); Del Rio, Pablo [Institute for Public Policies and Goods (IPP), Centro de Ciencias Humanas y Sociales, CSIC, C/Albasanz 26-28, 28037 Madrid (Spain)

    2010-04-15

    The production and consumption of electricity is a major source of CO{sub 2} emissions in Europe and elsewhere. In turn, the manufacturing sectors are significant end-users of electricity. In contrast to most papers in the literature, which focus on the supply-side, this study tackles the demand-side of electricity. An input-output approach combined with a sensitivity analysis has been developed to analyse the direct and indirect consumptions of electricity by eighteen manufacturing sectors in fifteen European countries, with indirect electricity demand related to the purchase of industrial products from other sectors which, in turn, require the consumption of electricity in their manufacturing processes. We identify the industrial transactions and sectors, which account for a greater share of electricity demand. In addition, the impact of an electricity price increase on the costs and prices of manufacturing products is simulated through a price model, allowing us to identify those sectors whose manufacturing costs are most sensitive to an increase in the electricity price. (author)

  1. Modelling a demand driven biogas system for production of electricity at peak demand and for production of biomethane at other times.

    Science.gov (United States)

    O'Shea, R; Wall, D; Murphy, J D

    2016-09-01

    Four feedstocks were assessed for use in a demand driven biogas system. Biomethane potential (BMP) assays were conducted for grass silage, food waste, Laminaria digitata and dairy cow slurry. Semi-continuous trials were undertaken for all feedstocks, assessing biogas and biomethane production. Three kinetic models of the semi-continuous trials were compared. A first order model most accurately correlated with gas production in the pulse fed semi-continuous system. This model was developed for production of electricity on demand, and biomethane upgrading. The model examined a theoretical grass silage digester that would produce 435kWe in a continuous fed system. Adaptation to demand driven biogas required 187min to produce sufficient methane to run a 2MWe combined heat and power (CHP) unit for 60min. The upgrading system was dispatched 71min following CHP shutdown. Of the biogas produced 21% was used in the CHP and 79% was used in the upgrading system.

  2. Short-term electricity demand and gas price forecasts using wavelet transforms and adaptive models

    Energy Technology Data Exchange (ETDEWEB)

    Nguyen, Hang T.; Nabney, Ian T. [Non-linearity and Complexity Research Group, School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET (United Kingdom)

    2010-09-15

    This paper presents some forecasting techniques for energy demand and price prediction, one day ahead. These techniques combine wavelet transform (WT) with fixed and adaptive machine learning/time series models (multi-layer perceptron (MLP), radial basis functions, linear regression, or GARCH). To create an adaptive model, we use an extended Kalman filter or particle filter to update the parameters continuously on the test set. The adaptive GARCH model is a new contribution, broadening the applicability of GARCH methods. We empirically compared two approaches of combining the WT with prediction models: multicomponent forecasts and direct forecasts. These techniques are applied to large sets of real data (both stationary and non-stationary) from the UK energy markets, so as to provide comparative results that are statistically stronger than those previously reported. The results showed that the forecasting accuracy is significantly improved by using the WT and adaptive models. The best models on the electricity demand/gas price forecast are the adaptive MLP/GARCH with the multicomponent forecast; their NMSEs are 0.02314 and 0.15384 respectively. (author)

  3. Spatial analysis of electricity demand patterns in Greece: Application of a GIS-based methodological framework

    Science.gov (United States)

    Tyralis, Hristos; Mamassis, Nikos; Photis, Yorgos N.

    2016-04-01

    We investigate various uses of electricity demand in Greece (agricultural, commercial, domestic, industrial use as well as use for public and municipal authorities and street lightning) and we examine their relation with variables such as population, total area, population density and the Gross Domestic Product. The analysis is performed on data which span from 2008 to 2012 and have annual temporal resolution and spatial resolution down to the level of prefecture. We both visualize the results of the analysis and we perform cluster and outlier analysis using the Anselin local Moran's I statistic as well as hot spot analysis using the Getis-Ord Gi* statistic. The definition of the spatial patterns and relationships of the aforementioned variables in a GIS environment provides meaningful insight and better understanding of the regional development model in Greece and justifies the basis for an energy demand forecasting methodology. Acknowledgement: This research has been partly financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) - Research Funding Program: ARISTEIA II: Reinforcement of the interdisciplinary and/ or inter-institutional research and innovation (CRESSENDO project; grant number 5145).

  4. Important Factors for Early Market Microgrids: Demand Response and Plug-in Electric Vehicle Charging

    Science.gov (United States)

    White, David Masaki

    Microgrids are evolving concepts that are growing in interest due to their potential reliability, economic and environmental benefits. As with any new concept, there are many unresolved issues with regards to planning and operation. In particular, demand response (DR) and plug-in electric vehicle (PEV) charging are viewed as two key components of the future grid and both will likely be active technologies in the microgrid market. However, a better understanding of the economics associated with DR, the impact DR can have on the sizing of distributed energy resource (DER) systems and how to accommodate and price PEV charging is necessary to advance microgrid technologies. This work characterizes building based DR for a model microgrid, calculates the DER systems for a model microgrid under DR through a minimization of total cost, and determines pricing methods for a PEV charging station integrated with an individual building on the model microgrid. It is shown that DR systems which consist only of HVAC fan reductions provide potential economic benefits to the microgrid through participation in utility DR programs. Additionally, peak shaving DR reduces the size of power generators, however increasing DR capacity does not necessarily lead to further reductions in size. As it currently stands for a microgrid that is an early adopter of PEV charging, current installation costs of PEV charging equipment lead to a system that is not competitive with established commercial charging networks or to gasoline prices for plug-in hybrid electric vehicles (PHEV).

  5. Optimal Ozone Control with Inclusion of Spatiotemporal Marginal Damages and Electricity Demand.

    Science.gov (United States)

    Mesbah, S Morteza; Hakami, Amir; Schott, Stephan

    2015-07-07

    Marginal damage (MD), or damage per ton of emission, is a policy metric used for effective pollution control and reducing the corresponding adverse health impacts. However, for a pollutant such as NOx, the MD varies by the time and location of the emissions, a complication that is not adequately accounted for in the currently implemented economic instruments. Policies accounting for MD information would aim to encourage emitters with large MDs to reduce their emissions. An optimization framework is implemented to account for NOx spatiotemporal MDs calculated through adjoint sensitivity analysis and to simulate power plants' behavior under emission and simplified electricity constraints. The results from a case study of U.S. power plants indicate that time-specific MDs are high around noon and low in the evening. Furthermore, an emissions reduction of about 40% and a net benefit of about $1200 million can be gained for this subset of power plants if a larger fraction of the electricity demand is supplied by power plants at low-damage times and in low-damage locations. The results also indicate that the consideration of temporal effects in NOx control policies results in a comparable net benefit to the consideration of spatial or spatiotemporal effects, thus providing a promising option for policy development.

  6. FedEx Gasoline Hybrid Electric Delivery Truck Evaluation: 6-Month Interim Report

    Energy Technology Data Exchange (ETDEWEB)

    Barnitt, R.

    2010-05-01

    This interim report presents partial (six months) results for a technology evaluation of gasoline hybrid electric parcel delivery trucks operated by FedEx in and around Los Angeles, CA. A 12 month in-use technology evaluation comparing in-use fuel economy and maintenance costs of GHEVs and comparative diesel parcel delivery trucks was started in April 2009. Comparison data was collected and analyzed for in-use fuel economy and fuel costs, maintenance costs, total operating costs, and vehicle uptime. In addition, this interim report presents results of parcel delivery drive cycle collection and analysis activities as well as emissions and fuel economy results of chassis dynamometer testing of a gHEV and a comparative diesel truck at the National Renewable Energy Laboratory's (NREL) ReFUEL laboratory. A final report will be issued when 12 months of in-use data have been collected and analyzed.

  7. FedEx Gasoline Hybrid Electric Delivery Truck Evaluation: 6-Month Interim Report

    Energy Technology Data Exchange (ETDEWEB)

    Barnitt, R.

    2010-05-01

    This interim report presents partial (six months) results for a technology evaluation of gasoline hybrid electric parcel delivery trucks operated by FedEx in and around Los Angeles, CA. A 12 month in-use technology evaluation comparing in-use fuel economy and maintenance costs of GHEVs and comparative diesel parcel delivery trucks was started in April 2009. Comparison data was collected and analyzed for in-use fuel economy and fuel costs, maintenance costs, total operating costs, and vehicle uptime. In addition, this interim report presents results of parcel delivery drive cycle collection and analysis activities as well as emissions and fuel economy results of chassis dynamometer testing of a gHEV and a comparative diesel truck at the National Renewable Energy Laboratory's (NREL) ReFUEL laboratory. A final report will be issued when 12 months of in-use data have been collected and analyzed.

  8. Distributed energy resources management using plug-in hybrid electric vehicles as a fuel-shifting demand response resource

    DEFF Research Database (Denmark)

    Morais, Hugo; Sousa, Tiago; Soares, J.

    2015-01-01

    In the smart grids context, distributed energy resources management plays an important role in the power systems' operation. Battery electric vehicles and plug-in hybrid electric vehicles should be important resources in the future distribution networks operation. Therefore, it is important...... to develop adequate methodologies to schedule the electric vehicles' charge and discharge processes, avoiding network congestions and providing ancillary services.This paper proposes the participation of plug-in hybrid electric vehicles in fuel shifting demand response programs. Two services are proposed......, namely the fuel shifting and the fuel discharging. The fuel shifting program consists in replacing the electric energy by fossil fuels in plug-in hybrid electric vehicles daily trips, and the fuel discharge program consists in use of their internal combustion engine to generate electricity injecting...

  9. Why Electricity Demand Is Highly Income-Elastic in Spain: A Cross-Country Comparison Based on an Index-Decomposition Analysis

    Directory of Open Access Journals (Sweden)

    Julián Pérez-García

    2017-03-01

    Full Text Available Since 1990, Spain has had one of the highest elasticities of electricity demand in the European Union. We provide an in-depth analysis into the causes of this high elasticity, and we examine how these same causes influence electricity demand in other European countries. To this end, we present an index-decomposition analysis of growth in electricity demand which allows us to identify three key factors in the relationship between gross domestic product (GDP and electricity demand: (i structural change; (ii GDP growth; and (iii intensity of electricity use. Our findings show that the main differences in electricity demand elasticities across countries and time are accounted for by the fast convergence in residential per capita electricity consumption. This convergence has almost concluded, and we expect the Spanish energy demand elasticity to converge to European standards in the near future.

  10. Electrical stimulation promotes regeneration of defective peripheral nerves after delayed repair intervals lasting under one month.

    Science.gov (United States)

    Xu, Chungui; Kou, Yuhui; Zhang, Peixun; Han, Na; Yin, Xiaofeng; Deng, Jiuxu; Chen, Bo; Jiang, Baoguo

    2014-01-01

    Electrical stimulation (ES) has been proven to be an effective means of enhancing the speed and accuracy of nerve regeneration. However, these results were recorded when the procedure was performed almost immediately after nerve injury. In clinical settings, most patients cannot be treated immediately. Some patients with serious trauma or contaminated wounds need to wait for nerve repair surgery. Delays in nerve repair have been shown to be associated with poorer results than immediate surgery. It is not clear whether electrical stimulation still has any effect on nerve regeneration after enough time has elapsed. A delayed nerve repair model in which the rats received delayed nerve repair after 1 day, 1 week, 1 month, and 2 months was designed. At each point in time, the nerve stumps of half the rats were bridged with an absorbable conduit and the rats were given 1 h of weak electrical stimulation. The other half was not treated. In order to analyze the morphological and molecular differences among these groups, 6 ES rats and 6 sham ES rats per point in time were killed 5 days after surgery. The other rats in each group were allowed to recover for 6 weeks before the final functional test and tissue observation. The amounts of myelinated fibers in the distal nerve stumps decreased as the delay in repair increased for both ES rats and sham ES rats. In the 1-day-delay and 1-week-delay groups, there were more fibers in ES rats than in sham ES rats. And the compound muscle action potential (CMAP) and motor nerve conduction velocity (MNCV) results were better for ES rats in these two groups. In order to analyze the mechanisms underlying these differences, Masson staining was performed on the distal nerves and quantitative PCR on the spinal cords. Results showed that, after delays in repair of 1 month and 2 months, there was more collagen tissue hyperplasia in the distal nerve in all rats. The brain-derived neurotrophic factor (BDNF) and trkB expression levels in the

  11. Electrical stimulation promotes regeneration of defective peripheral nerves after delayed repair intervals lasting under one month.

    Directory of Open Access Journals (Sweden)

    Chungui Xu

    Full Text Available BACKGROUND: Electrical stimulation (ES has been proven to be an effective means of enhancing the speed and accuracy of nerve regeneration. However, these results were recorded when the procedure was performed almost immediately after nerve injury. In clinical settings, most patients cannot be treated immediately. Some patients with serious trauma or contaminated wounds need to wait for nerve repair surgery. Delays in nerve repair have been shown to be associated with poorer results than immediate surgery. It is not clear whether electrical stimulation still has any effect on nerve regeneration after enough time has elapsed. METHODS: A delayed nerve repair model in which the rats received delayed nerve repair after 1 day, 1 week, 1 month, and 2 months was designed. At each point in time, the nerve stumps of half the rats were bridged with an absorbable conduit and the rats were given 1 h of weak electrical stimulation. The other half was not treated. In order to analyze the morphological and molecular differences among these groups, 6 ES rats and 6 sham ES rats per point in time were killed 5 days after surgery. The other rats in each group were allowed to recover for 6 weeks before the final functional test and tissue observation. RESULTS: The amounts of myelinated fibers in the distal nerve stumps decreased as the delay in repair increased for both ES rats and sham ES rats. In the 1-day-delay and 1-week-delay groups, there were more fibers in ES rats than in sham ES rats. And the compound muscle action potential (CMAP and motor nerve conduction velocity (MNCV results were better for ES rats in these two groups. In order to analyze the mechanisms underlying these differences, Masson staining was performed on the distal nerves and quantitative PCR on the spinal cords. Results showed that, after delays in repair of 1 month and 2 months, there was more collagen tissue hyperplasia in the distal nerve in all rats. The brain-derived neurotrophic

  12. INDIA’S ELECTRICITY DEMAND FORECAST USING REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS BASED ON PRINCIPAL COMPONENTS

    Directory of Open Access Journals (Sweden)

    S. Saravanan

    2012-07-01

    Full Text Available Power System planning starts with Electric load (demand forecasting. Accurate electricity load forecasting is one of the most important challenges in managing supply and demand of the electricity, since the electricity demand is volatile in nature; it cannot be stored and has to be consumed instantly. The aim of this study deals with electricity consumption in India, to forecast future projection of demand for a period of 19 years from 2012 to 2030. The eleven input variables used are Amount of CO2 emission, Population, Per capita GDP, Per capita gross national income, Gross Domestic savings, Industry, Consumer price index, Wholesale price index, Imports, Exports and Per capita power consumption. A new methodology based on Artificial Neural Networks (ANNs using principal components is also used. Data of 29 years used for training and data of 10 years used for testing the ANNs. Comparison made with multiple linear regression (based on original data and the principal components and ANNs with original data as input variables. The results show that the use of ANNs with principal components (PC is more effective.

  13. Distributed Energy Systems Integration and Demand Optimization for Autonomous Operations and Electric Grid Transactions

    Energy Technology Data Exchange (ETDEWEB)

    Ghatikar, Girish [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Greenlots, San Francisco, CA (United States); Mashayekh, Salman [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Stadler, Michael [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Center for Energy and Innovation Technologies (Austria); Yin, Rongxin [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Liu, Zhenhua [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-11-29

    Distributed power systems in the U.S. and globally are evolving to provide reliable and clean energy to consumers. In California, existing regulations require significant increases in renewable generation, as well as identification of customer-side distributed energy resources (DER) controls, communication technologies, and standards for interconnection with the electric grid systems. As DER deployment expands, customer-side DER control and optimization will be critical for system flexibility and demand response (DR) participation, which improves the economic viability of DER systems. Current DER systems integration and communication challenges include leveraging the existing DER and DR technology and systems infrastructure, and enabling optimized cost, energy and carbon choices for customers to deploy interoperable grid transactions and renewable energy systems at scale. Our paper presents a cost-effective solution to these challenges by exploring communication technologies and information models for DER system integration and interoperability. This system uses open standards and optimization models for resource planning based on dynamic-pricing notifications and autonomous operations within various domains of the smart grid energy system. It identifies architectures and customer engagement strategies in dynamic DR pricing transactions to generate feedback information models for load flexibility, load profiles, and participation schedules. The models are tested at a real site in California—Fort Hunter Liggett (FHL). Furthermore, our results for FHL show that the model fits within the existing and new DR business models and networked systems for transactive energy concepts. Integrated energy systems, communication networks, and modeling tools that coordinate supply-side networks and DER will enable electric grid system operators to use DER for grid transactions in an integrated system.

  14. Demand response - Non-electric storage devices for electric utilities with a high participation of renewable energy sources; Demand response - Nichtelektrische Speicher fuer Elektrizitaetsversorgungssysteme mit hohem Anteil erneuerbarer Energien

    Energy Technology Data Exchange (ETDEWEB)

    Stadler, I.

    2005-10-15

    Electrical power supply is mainly based on fossil and nuclear fuels. Their availability will be dramatically reduced within the next half century. The only possibility to maintain our high living and economic standard which is based on high energy consumption will be a reorganisation of our supplies towards renewable energies such as wind, photovoltaics and biomass. It is generally accepted that the maximum fraction of stochastically available renewable energies that can be integrated into our electricity supplies is 20 to 25 %. Reasons are stability of the electricity network and absence of possibilities to store large amounts of electricity. The author demonstrates that by integrating already existing intrinsic storage capacities on the demand side into the control of electricity supplies there is no longer an upper limit for integration of renewable energies. The following technologies on the demand side are taken into account: storage heating and electrical water heating, ventilation, refrigeration, circulation pumps and compressed air in industry. Furthermore, changes in user behaviour, compressed air energy storage, and transition to flexible electricity usage by integration of thermal storage are discussed. (orig.)

  15. Management and control of the electrical energy demand; Administracion y control de la demanda de la energia electrica

    Energy Technology Data Exchange (ETDEWEB)

    Johnson Controls [Comision Federal de Electricidad (Mexico)

    2005-07-01

    Administrative measures allow a reduction in the energy consumption, but not always in the electrical demand. Control measures allow a reduction in the billing of the electrical demand, but not always in the energy consumption. This is why it is explained in this document what management and control of the electrical demand is, as well as its control strategies, the control alternatives, the billing demand and at the same time graphical representations along with three practical cases on the management of demand in air compressors, air conditioning equipment and in corporative buildings are presented. [Spanish] La aplicacion de las medidas administrativas permite reducir el consumo de energia, pero no siempre la demanda electrica. La aplicacion de medidas de control permiten reducir la demanda electrica facturable, pero no siempre el consumo de energia. Es por eso que en este documento se explica que es la administracion y el control de la demanda electrica, sus estrategias de control, las alternativas de control, la demanda facturable, representaciones graficas y tres casos practicos sobre la administracion de demanda en compresores de aire, la administracion de demanda en aire acondicionado y la administracion de demanda en un edificio corporativo.

  16. Analysis and Modeling for China’s Electricity Demand Forecasting Based on a New Mathematical Hybrid Method

    Directory of Open Access Journals (Sweden)

    Jie Liang

    2017-03-01

    Full Text Available Electricity demand forecasting can provide the scientific basis for the country to formulate the power industry development strategy and the power-generating target, which further promotes the sustainable, healthy and rapid development of the national economy. In this paper, a new mathematical hybrid method is proposed to forecast electricity demand. In line with electricity demand feature, the framework of joint-forecasting model is established and divided into two procedures: firstly, the modified GM(1,1 model and the Logistic model are used to make single forecasting. Then, the induced ordered weighted harmonic averaging operator (IOWHA is applied to combine these two single models and make joint-forecasting. Forecasting results demonstrate that this new hybrid model is superior to both single-forecasting approaches and traditional joint-forecasting methods, thus verifying the high prediction validity and accuracy of mentioned joint-forecasting model. Finally, detailed forecasting-outcomes on electricity demand of China in 2016–2020 are discussed and displayed a slow-growth smoothly over the next five years.

  17. An Economic Evalution of Demand-side Energy Storage Systems by using a Multi-agent based Electricity Market

    Science.gov (United States)

    Furusawa, Ken; Sugihara, Hideharu; Tsuji, Kiichiro

    Opened wholesale electric power market in April 2005, deregulation of electric power industry in Japan has faced a new competitive environment. In the new environment, Independent Power Producer (: IPP), Power Producer and Supplier (: PPS), Load Service Entity (: LSE) and electric utility can trade electric energy through both bilateral contracts and single-price auction at the electricity market. In general, the market clearing price (: MCP) is largely changed by amount of total load demand in the market. The influence may cause price spike, and consequently the volatility of MCP will make LSEs and their customers to face a risk of revenue and cost. DSM is attracted as a means of load leveling, and has effect on decreasing MCP at peak load period. Introducing Energy Storage systems (: ES) is one of DSM in order to change demand profile at customer-side. In case that customers decrease their own demand at jumped MCP, a bidding strategy of generating companies may be changed their strategy. As a result, MCP is changed through such complex mechanism. In this paper the authors evaluate MCP by multi-agent. It is considered that customer-side ES has an effect on MCP fluctuation. Through numerical examples, this paper evaluates the influence on MCP by controlling customer-side ES corresponding to variation of MCP.

  18. Water demands for electricity generation in the U.S.: Modeling different scenarios for the water–energy nexus

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Lu; Hejazi, Mohamad I.; Patel, Pralit L.; Kyle, G. Page; Davies, Evan; Zhou, Yuyu; Clarke, Leon E.; Edmonds, James A.

    2015-05-01

    Water withdrawal for electricity generation in the United States accounts for approximately half the total freshwater withdrawal. With steadily growing electricity demands, a changing climate, and limited water supplies in many water-scarce states, meeting future energy and water demands poses a significant socio-economic challenge. Employing an integrated modeling approach that can capture the energy-water interactions at regional and national scales is essential to improve our understanding of the key drivers that govern those interactions and the role of national policies. In this study, the Global Change Assessment Model (GCAM), a technologically-detailed integrated model of the economy, energy, agriculture and land use, water, and climate systems, was extended to model the electricity and water systems at the state level in the U.S. (GCAM-USA). GCAM-USA was employed to estimate future state-level electricity generation and consumption, and their associated water withdrawals and consumption under a set of six scenarios with extensive details on the generation fuel portfolio, cooling technology mix, and their associated water use intensities. Six scenarios of future water demands of the U.S. electric-sector were explored to investigate the implications of socioeconomics development and growing electricity demands, climate mitigation policy, the transition of cooling systems, electricity trade, and water saving technologies. Our findings include: 1) decreasing water withdrawals and substantially increasing water consumption from both climate mitigation and the conversion from open-loop to closed-loop cooling systems; 2) open trading of electricity benefiting energy scarce yet demand intensive states; 3) within state variability under different driving forces while across state homogeneity under certain driving force ; 4) a clear trade-off between water consumption and withdrawal for the electricity sector in the U.S. The paper discusses this withdrawal

  19. 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.

  20. Development of a “Current Energy Mix Scenario” and a “Electricity as Main Energy Source Scenario” for electricity demand up to 2100

    Directory of Open Access Journals (Sweden)

    Mário J. S. Brito

    2014-06-01

    Full Text Available In this work, we develop a model to forecast world electricity production up to 2100. We analyze historical data for electricity production, population and GDP per Capita for the period 1900–2008. We show that electricity production follows general trends. First, there is an electricity intensity target of 0.20-0.25 kWh per unit of GDP (US$2012 as economies mature, except in countries traditionally relying heavily on renewable electricity (hydroelectricity, for whom this target ranges between 0.50 to 0.80 kWh per unit GDP. Also, countries that belong to the same region tend to follow the evolution of electricity production and GDP/Capita of a regional “modelcountry”. Equations that describe the behavior of these model countries are used to forecast electricity production per capita up to 2100 under a low and a high scenario for the evolution of GDP per Capita. For electricity production two main scenarios were set: “Current Energy MixScenario” and “Electricity as Main Energy Source Scenario”, with two additional sub scenarios considering slightly different electric intensities. Forecasts up to 2100 yield a demand forelectricity production 3.5 to 5 times higher than the current production for the “Current EnergyMix Scenario” and about 9 to 14 times for the “Electricity as Main Energy Source Scenario”. Forecasts for the “Current Energy Mix Scenario” matched well with forecasts from IEA/EIA (International Energy Agency/ Energy Information Administration while the forecasts for the“Electricity as the Main Energy Source Scenario” are much higher than current predictions.

  1. The bright side of snow cover effects on PV production - How to lower the seasonal mismatch between electricity supply and demand in a fully renewable Switzerland

    Science.gov (United States)

    Kahl, Annelen; Dujardin, Jérôme; Dupuis, Sonia; Lehning, Michael

    2017-04-01

    One of the major problems with solar PV in the context of a fully renewable electricity production at mid-latitudes is the trend of higher production in summer and lower production in winter. This trend is most often exactly opposite to demand patterns, causing a seasonal mismatch that requires extensive balancing power from other production sources or large storage capacities. Which possibilities do we have to bring PV production into closer correlation with demand? This question motivated our research and in response we investigated the effects of placing PV panels at different tilt angles in regions with extensive snow cover to increase winter production from ground reflected short wave radiation. The aim of this project is therefore to quantify the effect of varying snow cover duration (SCD) and of panel tilt angle on the annual total production and on production during winter months when electricity is most needed. We chose Switzerland as ideal test site, because it has a wide range of snow cover conditions and a high potential for renewable electricity production. But methods can be applied to other regions of comparable conditions for snow cover and irradiance. Our analysis can be separated into two steps: 1. A systematic, GIS and satellite-based analysis for all of Switzerland: We use time series of satellite-derived irradiance, and snow cover characteristics together with land surface cover types and elevation information to quantify the environmental conditions and to estimate potential production and ideal tilt angles. 2. A scenario-based analysis that contrasts the production patterns of different placement scenarios for PV panels in urban, rural and mountainous areas. We invoke a model of a fully renewable electricity system (including Switzerland's large hydropower system) at national level to compute the electricity import and storage capacity that will be required to balance the remaining mismatch between production and demand to further illuminate

  2. Local Muscle Metabolic Demand Induced by Neuromuscular Electrical Stimulation and Voluntary Contractions at Different Force Levels: A NIRS Study.

    Science.gov (United States)

    Muthalib, Makii; Kerr, Graham; Nosaka, Kazunori; Perrey, Stephane

    2016-06-13

    Functional Muscle metabolic demand during contractions evoked by neuromuscular electrical stimulation (NMES) has been consistently documented to be greater than voluntary contractions (VOL) at the same force level (10-50% maximal voluntary contraction-MVC). However, we have shown using a near-infrared spectroscopy (NIRS) technique that local muscle metabolic demand is similar between NMES and VOL performed at MVC levels, thus controversy exists. This study therefore compared biceps brachii muscle metabolic demand (tissue oxygenation index-TOI and total hemoglobin volume-tHb) during a 10s isometric contraction of the elbow flexors between NMES (stimulation frequency of 30Hz and current level to evoke 30% MVC) and VOL at 30% MVC (VOL-30%MVC) and MVC (VOL-MVC) level in 8 healthy men (23-33-y). Greater changes in TOI and tHb induced by NMES than VOL-30%MVC confirm previous studies of a greater local metabolic demand for NMES than VOL at the same force level. The same TOI and tHb changes for NMES and VOL-MVC suggest that local muscle metabolic demand and intramuscular pressure were similar between conditions. In conclusion, these findings indicate that NMES induce a similar local muscle metabolic demand as that of maximal VOL.

  3. Modeling and Estimating of Load Demand of Electricity Generated from Hydroelectric Power Plants in Turkey using Machine Learning Methods

    Directory of Open Access Journals (Sweden)

    DURSUN, B.

    2014-02-01

    Full Text Available In this study, the electricity load demand, between 2012 and 2021, has been estimated using the load demand of the electricity generated from hydroelectric power plants in Turkey between 1970 and 2011. Among machine learning algorithms, Multilayer Perceptron, Locally Weighted Learning, Additive Regression, M5Rules and ZeroR classifiers are used to estimate the electricity load demand. Among them, M5Rules and Multilayer Perceptron classifiers are observed to have better performance than the others. ZeroR classifier is a kind of majority classifier used to compare the performances of other classifiers. Locally Weighted Learning and Additive Regression classifiers are Meta classifiers. In the training period conducted by Locally Weighted Learning and Additive Regression classifiers, when Multilayer Perceptron and M5Rules classifiers are chosen respectively, it is possible to obtain models with the highest performance. As a result of the experiments performed using M5Rules and Multilayer Perceptron classifiers, correlation coefficient values of 0.948 and 0.9933 are obtained respectively. And, Mean Absolute Error and Root Mean Squared Error value of Multilayer Perceptron classifier are closer to zero than that of M5Rules classifier. Therefore, it can be said the model performed by Multilayer Perceptron classifier has the best performance compared to the models of other classifiers.

  4. Agent-based simulation of retail electricity markets: Bilateral contracting with demand response

    OpenAIRE

    Lopes, Fernando; Algarvio, Hugo; Ilco, Cristina; Sousa, Jorge

    2013-01-01

    The novelty of the evolving electric power industry implies that researchers lack insight into numerous open problems. There is a growing need for advanced modeling approaches that simulate the behavior of electricity markets over time. Accordingly, this article looks at using software agents to help manage the complexity of electricity markets, particularly retail markets, towards ensuring long-term capacity sustainability. The article focuses on bilateral trading and describes some importan...

  5. Co-optimization of Energy and Demand-Side Reserves in Day-Ahead Electricity Markets

    Science.gov (United States)

    Surender Reddy, S.; Abhyankar, A. R.; Bijwe, P. R.

    2015-04-01

    This paper presents a new multi-objective day-ahead market clearing (DAMC) mechanism with demand-side reserves/demand response (DR) offers, considering realistic voltage-dependent load modeling. The paper proposes objectives such as social welfare maximization (SWM) including demand-side reserves, and load served error (LSE) minimization. In this paper, energy and demand-side reserves are cleared simultaneously through co-optimization process. The paper clearly brings out the unsuitability of conventional SWM for DAMC in the presence of voltage-dependent loads, due to reduction of load served (LS). Under such circumstances multi-objective DAMC with DR offers is essential. Multi-objective Strength Pareto Evolutionary Algorithm 2+ (SPEA 2+) has been used to solve the optimization problem. The effectiveness of the proposed scheme is confirmed with results obtained from IEEE 30 bus system.

  6. High Electricity Demand in the Northeast U.S.: PJM Reliability Network and Peaking Unit Impacts on Air Quality.

    Science.gov (United States)

    Farkas, Caroline M; Moeller, Michael D; Felder, Frank A; Henderson, Barron H; Carlton, Annmarie G

    2016-08-01

    On high electricity demand days, when air quality is often poor, regional transmission organizations (RTOs), such as PJM Interconnection, ensure reliability of the grid by employing peak-use electric generating units (EGUs). These "peaking units" are exempt from some federal and state air quality rules. We identify RTO assignment and peaking unit classification for EGUs in the Eastern U.S. and estimate air quality for four emission scenarios with the Community Multiscale Air Quality (CMAQ) model during the July 2006 heat wave. Further, we population-weight ambient values as a surrogate for potential population exposure. Emissions from electricity reliability networks negatively impact air quality in their own region and in neighboring geographic areas. Monitored and controlled PJM peaking units are generally located in economically depressed areas and can contribute up to 87% of hourly maximum PM2.5 mass locally. Potential population exposure to peaking unit PM2.5 mass is highest in the model domain's most populated cities. Average daily temperature and national gross domestic product steer peaking unit heat input. Air quality planning that capitalizes on a priori knowledge of local electricity demand and economics may provide a more holistic approach to protect human health within the context of growing energy needs in a changing world.

  7. Thermal Energy Storage for Electricity Peak-demand Mitigation: A Solution in Developing and Developed World Alike

    Energy Technology Data Exchange (ETDEWEB)

    DeForest, Nicholas; Mendes, Goncalo; Stadler, Michael; Feng, Wei; Lai, Judy; Marnay, Chris

    2013-06-02

    In much of the developed world, air-conditioning in buildings is the dominant driver of summer peak electricity demand. In the developing world a steadily increasing utilization of air-conditioning places additional strain on already-congested grids. This common thread represents a large and growing threat to the reliable delivery of electricity around the world, requiring capital-intensive expansion of capacity and draining available investment resources. Thermal energy storage (TES), in the form of ice or chilled water, may be one of the few technologies currently capable of mitigating this problem cost effectively and at scale. The installation of TES capacity allows a building to meet its on-peak air conditioning load without interruption using electricity purchased off-peak and operating with improved thermodynamic efficiency. In this way, TES has the potential to fundamentally alter consumption dynamics and reduce impacts of air conditioning. This investigation presents a simulation study of a large office building in four distinct geographical contexts: Miami, Lisbon, Shanghai, and Mumbai. The optimization tool DER-CAM (Distributed Energy Resources Customer Adoption Model) is applied to optimally size TES systems for each location. Summer load profiles are investigated to assess the effectiveness and consistency in reducing peak electricity demand. Additionally, annual energy requirements are used to determine system cost feasibility, payback periods and customer savings under local utility tariffs.

  8. Coca-Cola Refreshments Class 8 Diesel Electric Hybrid Tractor Evaluation: 13-Month Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Walkowicz, K.; Lammert, M.; Curran, P.

    2012-08-01

    This 13-month evaluation used five Kenworth T370 hybrid tractors and five Freightliner M2106 standard diesel tractors at a Coca Cola Refreshments facility in Miami, Florida. The primary objective was to evaluate the fuel economy, emissions, and operational field performance of hybrid electric vehicles when compared to similar-use conventional diesel vehicles. A random dispatch system ensures the vehicles are used in a similar manner. GPS logging, fueling, and maintenance records and laboratory dynamometer testing are used to evaluate the performance of these hybrid tractors. Both groups drive similar duty cycles with similar kinetic intensity (0.95 vs. 0.69), average speed (20.6 vs. 24.3 mph), and stops per mile (1.9 vs. 1.5). The study demonstrated the hybrid group had a 13.7% fuel economy improvement over the diesel group. Laboratory fuel economy and field fuel economy study showed similar trends along the range of KI and stops per mile. Hybrid maintenance costs were 51% lower per mile; hybrid fuel costs per mile were 12% less than for the diesels; and hybrid vehicle total cost of operation per mile was 24% less than the cost of operation for the diesel group.

  9. Electric Vehicles in Colorado: Anticipating Consumer Demand for Direct Current Fast Charging

    Energy Technology Data Exchange (ETDEWEB)

    Wood, Eric W. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Rames, Clement L. [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-07-01

    To support the State of Colorado in planning for growth in direct current fast charging (DCFC) for electric vehicles, the National Renewable Energy Laboratory (NREL) has partnered with the Regional Air Quality Council (RAQC) and the Colorado Department of Transportation (CDOT) to analyze a number of DCFC investment scenarios. NREL analyzed existing electric vehicle registration data from IHS Markit (IHS) to highlight early trends in the electric vehicle market, which were compared with sales forecasts predicting large growth in the Colorado electric vehicle market. Electric vehicle forecasts were then used to develop future DCFC scenarios to be evaluated in a simulation environment to estimate consumer benefits of the hypothetical DCFC networks in terms of increased driving range and electric vehicle miles traveled (eVMT). Simulated utilization of the hypothetical DCFC networks was analyzed for geographic trends, particularly for correlations with vehicle electric range. Finally, a subset of simulations is presented for consumers with potentially inconsistent access to charging at their home location and presumably greater reliance on public DCFC infrastructure.

  10. Load demand profile for a large charging station of a fleet of all-electric plug-in buses

    Directory of Open Access Journals (Sweden)

    Mario A. Rios

    2014-08-01

    Full Text Available This study proposes a general procedure to compute the load demand profile from a parking lot where a fleet of buses with electric propulsion mechanisms are charged. Such procedure is divided in three different stages, the first one models the daily energy utilisation of the batteries based on Monte Carlo simulations and route characteristics. The second one models the process in the charging station based on discrete event simulation of queues of buses served by a lot of available chargers. The third step computes the final demand profile in the parking lot because of the charging process based on the power consumption of batteries’ chargers and the utilisation of the available charges. The proposed procedure allows the computation of the number of required batteries’ chargers to be installed in a charging station placed at a parking lot in order to satisfy and ensure the operation of the fleet, the computation of the power demand profile and the peak load and the computation of the general characteristics of electrical infrastructure to supply the power to the station.

  11. Study the Effect of Value-Added of Services Sector on Forecasting of Electricity Demand in Services Sector due to Price Reform

    Directory of Open Access Journals (Sweden)

    Sayed Mahdi Mostafavi

    2016-07-01

    Full Text Available Electrical energy is as one of the important effective factors on economic growth and development. In recent decades, numerous studies in different countries to estimate and forecast electricity demand in different parts of the economy have been made. In this paper, using the method ARDL, estimation and forecasting of electricity demand in the services sector of Iran are determined for the time period from 1983 to 2012. Estimated equations show that the added value of the services sector and a significant positive impact on the demand for electricity in this sector. The price elasticity for services sector is smaller than 1 due to low electricity prices and subsidized electricity. Hence, electricity prices have little impact on the demand for electricity. The results of the estimate represents a long-term relationship between the variables in the services sector. In this paper, based on amendments to the law on subsidies and estimated values, anticipated electricity demand until the end of the fifth development plan was carried out. The results indicate an increase in power consumption in the services sector.

  12. Tajikistan’s Winter Energy Crisis : Electricity Supply and Demand Alternatives

    OpenAIRE

    Fields, Daryl; Kochnakyan, Artur; Stuggins, Gary; Besant-Jones, John

    2012-01-01

    Reliable power supply is critical for Tajikistan's economy and poverty reduction goals. Without reliable, affordable electricity throughout the year, Tajikistan's businesses cannot invest, operate and create jobs; hospitals and schools cannot function fully or safely with frequent power cuts during winter; citizens suffer indoor air pollution from burning wood for heating and cooking. Electricity also powers the country's two largest exports: aluminum and agricultural produce, which account f...

  13. Direct Electricity from Heat: A Solution to Assist Aircraft Power Demands

    Science.gov (United States)

    Goldsby, Jon C.

    2010-01-01

    A thermionic device produces an electrical current with the application of a thermal gradient whereby the temperature at one electrode provides enough thermal energy to eject electrons. The system is totally predicated on the thermal gradient and the work function of the electrode collector relative to the emitter electrode. Combined with a standard thermoelectric device high efficiencies may result, capable of providing electrical energy from the waste heat of gas turbine engines.

  14. Regulating electricity demand peaks for home appliances using reversible fair scheduling

    DEFF Research Database (Denmark)

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

    2010-01-01

    of home appliances into priority classes and the definition of a maximum power consumption threshold which is not allowed to be exceeded during peak hours. According to the bandwidth demand and priority of each class, the reversible fair scheduling algorithm delays some of the appliances and prolongs...

  15. Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market

    DEFF Research Database (Denmark)

    Fotouhi Ghazvini, Mohammad Ali; Faria, Pedro; Ramos, Sergio

    2015-01-01

    spikes, volatile loads and the potential for market power exertion by GENCO (generation companies). A REP can manage the market risks by employing the DR (demand response) programs and using its' generation and storage assets at the distribution network to serve the customers. The proposed model suggests...... how a REP with light physical assets, such as DG (distributed generation) units and ESS (energy storage systems), can survive in a competitive retail market. The paper discusses the effective risk management strategies for the REPs to deal with the uncertainties of the DAM (day-ahead market) and how...... to hedge the financial losses in the market. A two-stage stochastic programming problem is formulated. It aims to establish the financial incentive-based DR programs and the optimal dispatch of the DG units and ESSs. The uncertainty of the forecasted day-ahead load demand and electricity price is also...

  16. Electric Demand Analysis of the Tunisian Network: Trends and Short Term Photovoltaic Implementation with Alternatives Prospects and Technologies

    Directory of Open Access Journals (Sweden)

    J. Bouattour

    2014-08-01

    Full Text Available The main objective of this study is to analyze the system of electric demand in Tunisia and to propose immediate alternative solution of photovoltaic implementation that can be suitable based on available natural solar energy resources in the country to respond to the short Forecast peak demand growth and energy consumptions taking into account financial strain. On the first step, analysis of the situation based on the recent historical data is proposed. In a second step, a solution is considered, based on photovoltaic implementation and using the results of historical data analysis. The resulting benefits are highlighted: financial, technical, environmental and social. Future studies may be made to use a mix of technology and policy as well: among it combining photovoltaic and battery storage, in parallel with energy efficiency programs.

  17. Plug-in Hybrid Electric Vehicles in the Smart Grid Environment: An Economic Model of Load Management by Demand Response

    Directory of Open Access Journals (Sweden)

    Poudineh R.

    2012-10-01

    Full Text Available Environmental concern regarding the consumption of fossil fuels is among the most serious challenges facing the world. As a result, utilisation of more renewable resources and promotion of a clean transport system such as the use of Plug in Hybrid Electric Vehicles (PHEVs became the forefront of the new energy policies. However, the breakthrough of PHEVs in the automotive fleet increases concerns around the stability of power system and in particular, the power network. This research simulates the aggregate load profile of the UK with presence of PHEVs based upon different price scenarios. The results show that under the fixed rate and time of use programmes in the current grid, the extra load of the electric vehicles intensifies the consumption profile and also creates new critical points. Thus, there should always be excess standby capacity to satisfy peak demand even for a short period of time. On the other hand, when the consumers do not pay the price based on the actual cost of supply, those who consume less in peak hours subsidise the ones who consume more and this cross subsidy raises a regulatory issue. On the contrary, a smart grid can accommodate PHEVs without creating technical and regulatory problems. This positive consequence is the result of demand response to the real time pricing. From a technical point of view, the biggest chunk of PHEVs' load will be shifted to the late evening and the hours of minimum demand. Besides, from a welfare analysis standpoint, real time pricing creates no deadweight losses and corresponding demand response will limit the ability of suppliers to increase the spot market clearing price above its equilibrium level.

  18. Describing Long-Term Electricity Demand Scenarios in the Telecommunications Industry: A Case Study of Japan

    Directory of Open Access Journals (Sweden)

    Yusuke Kishita

    2016-01-01

    Full Text Available Due to the rapid expansion of information and communication technology (ICT usage, the telecommunications industry is faced with a challenge to promote green ICT toward achieving a low-carbon society. One critical obstacle in planning long-term strategies for green ICT is the uncertainty of various external factors, such as consumers’ lifestyle and technological advancement. To tackle this issue, this paper employs a scenario planning method to analyze electricity consumption in the telecommunications industry, where both changes in various external factors and energy-saving measures are assumed. We propose a model to estimate future electricity consumption of the telecommunications industry using a statistical approach. In a case study, we describe four scenarios that differ in the diffusion of ICT and the technological advancement of ICT equipment in order to analyze the electricity consumption in Japan’s telecommunications industry to 2030. The results reveal that the electricity consumption in 2030 becomes 0.7–1.6-times larger than the 2012 level (10.7 TWh/year. It is also shown that the most effective measures to reduce the electricity consumption include improving the energy efficiency of IP (Internet Protocol communication equipment and mobile communication equipment.

  19. Examination of the Regional Supply and Demand Balance for Renewable Electricity in the United States through 2015: Projecting from 2009 through 2015 (Revised)

    Energy Technology Data Exchange (ETDEWEB)

    Bird, L.; Hurlbut, D.; Donohoo, P.; Cory, K.; Kreycik, C.

    2010-06-01

    This report examines the balance between the demand and supply of new renewable electricity in the United States on a regional basis through 2015. It expands on a 2007 NREL study that assessed the supply and demand balance on a national basis. As with the earlier study, this analysis relies on estimates of renewable energy supplies compared to demand for renewable energy generation needed to meet existing state renewable portfolio standard (RPS) policies in 28 states, as well as demand by consumers who voluntarily purchase renewable energy. However, it does not address demand by utilities that may procure cost-effective renewables through an integrated resource planning process or otherwise.

  20. Low-enthalpy geothermal resources for electricity production: A demand-side management study for intelligent communities

    DEFF Research Database (Denmark)

    Xydis, George A.; Nanaki, Evanthia A.; Koroneos, Christopher J.

    2013-01-01

    The geological conditions in Greece contributed to the creation of important low-enthalpy geothermal energy resources (LEGERs). The resources are divided into low, medium and high enthalpy, or temperature, based on criteria that are generally based on the energy content of the fluid. LEGERs are t...... and northern part of the country, as well as in many of the Aegean Islands. The aim of this work is to review the options for managing wind load by using low-enthalpy geothermal energy for electricity (through heat pump utilisation) according to the local energy demand....

  1. Electric Energy Demand Forecast of Nanchang based on Cellular Genetic Algorithm and BP Neural Network

    OpenAIRE

    Cheng Yugui

    2013-01-01

    A kind of power forecast model combined cellular genetic algorithm with BP neural network was established in this article. Mid-long term power demand in urban areas was done load forecasting and analysis based on material object of the actual power consumption in urban areas of Nanchang. The results show that this method has the characteristic of the minimum training times, the shortest consumption time, the minimum error and the shortest operation time to obtain the best fitting effect.  

  2. The Impact of Hybrid Electric Vehicles Incentives on Demand and the Determinants of Hybrid-Vehicle Adoption

    Science.gov (United States)

    Riggieri, Alison

    According to the Energy Information Administration, transportation currently accounts for over 60% of U.S. oil demand (E.I.A. 2010). Improving automobile energy efficiency could therefore reduce oil consumption and the negative environmental effects of automobile use. Subsidies for energy-efficient technologies such as hybrid-electric vehicles have gained political popularity since their introduction into the market and therefore have been implemented with increasing frequency. After the introduction of hybrid-electric vehicles into the U.S. market, the federal government initially implemented a 2000 federal tax deduction for these vehicles (later increased to a 3500 credit). Many states followed, offering various exemptions, such as high-occupancy vehicle (HOV) lane use, and excise-tax, sales-tax, and income-tax exemptions. Because not all states have implemented these subsidies, this policy topic is an ideal candidate for an outcome evaluation using an observational study postulation. States adopt incentives for different reasons based on factors that make adoption more attractive, however, so it is first necessary to identify these differences that predict policy adoption. This allows for the evaluative work to control for self selection bias. Three classes of internal determinants of policy adoption, political context, problem severity, and institutional support, and one type of external diffusion factor, are tested using logistic regression. Results suggest that the number of neighboring states that have already adopted incentives are consistently a determinant of diffusion for all three types of incentives test, HOV lane exemptions, sales-tax exemptions, and income-tax exemptions. In terms of internal factors, constituent support, a type of political context, predicts, sale-tax, income-tax, and HOV lane exemptions, but that the other two classes of determinants, problem severity and institutional support, were not universally significant across types of

  3. Demand Response and Economic Dispatch of Power Systems Considering Large-Scale Plug-in Hybrid Electric Vehicles/Electric Vehicles (PHEVs/EVs: A Review

    Directory of Open Access Journals (Sweden)

    Xiaohui Xu

    2013-08-01

    Full Text Available Increasing concerns about global environmental issues have led to the urgent development of green transportation. The enthusiasm of governments should encourage the prosperity of the plug-in hybrid electric vehicles/electric vehicles (PHEVs/EVs industry in the near future. PHEVs/EVs are not only an alternative to gasoline but are also burgeoning units for power systems. The impact of large-scale PHEVs/EVs on power systems is of profound significance. This paper discusses how to use PHEVs/EVs as a useful new tool for system operation and regulation from a review of recent studies and mainly considers two mainstream methods: demand response and economic dispatch. The potential of using PHEVs/EVs to coordinate renewable energy resources is also discussed in terms of accepting more renewable resources without violating the safety and the reliability of power systems or increasing the operation cost significantly.

  4. The electrical demand by transport on the grid after oil depletion

    NARCIS (Netherlands)

    J.J. Wolmarans, J.J.; Ferreira, J.A.

    2007-01-01

    At the hand of a case study alternative energy sources, methods of transportation and their effect on the electricity grid oncefossilfuels have been depleted is discussed. Three methods of sustainable transport are presented. The energy requirement for each is calculated as well as the requirements

  5. Modeling of Flexibility in Electricity Demand and Supply for Renewables Integration

    NARCIS (Netherlands)

    Verhoosel, J.P.C.; Rumph, F.J.; Konsman, M.

    2011-01-01

    The use of renewable energy sources is increasing due to national and international regulations. Such energy sources are less predictable than most of the classical energy production systems, like coal and nuclear power plants. This causes a challenge for balancing the electricity system. A possibil

  6. Enabling demand response by extending the European electricity markets with a real-time market

    NARCIS (Netherlands)

    Nyeng, P.; Kok, K.; Pineda, S.; Grande, O.; Sprooten, J.; Hebb, B.; Nieuwenhout, F.

    2013-01-01

    The EcoGrid concept proposes to extend the current wholesale electricity market to allow participation of Distributed Energy Resources (DERs) and domestic end-consumers in system balancing. Taking advantage of the smart grid technology, the EcoGrid market publishes the real-time prices that entail a

  7. Power System Transient Stability Improvement Using Demand Side Management in Competitive Electricity Markets

    DEFF Research Database (Denmark)

    Hu, Weihao; Wang, Chunqi; Chen, Zhe

    2012-01-01

    Since the hourly spot market price is available one day ahead in Denmark, the price could be transferred to the consumers and they may shift some of their loads from high price periods to the low price periods in order to save their energy costs. The optimal load response to an electricity price ...

  8. Simulated Annealing Approach Applied to the Energy Resource Management Considering Demand Response for Electric Vehicles

    DEFF Research Database (Denmark)

    Sousa, Tiago; Vale, Zita; Morais, Hugo

    2013-01-01

    , including Electric Vehicles (EVs), may lead to a scenario in which the VPP needs several hours to have a solution for the ERM problem. This is the reason why it is necessary to use metaheuristic methodologies to come up with a good solution with a reasonable amount of time. The presented paper proposes...

  9. Electric Energy Demand Forecast of Nanchang based on Cellular Genetic Algorithm and BP Neural Network

    Directory of Open Access Journals (Sweden)

    Cheng Yugui

    2013-07-01

    Full Text Available A kind of power forecast model combined cellular genetic algorithm with BP neural network was established in this article. Mid-long term power demand in urban areas was done load forecasting and analysis based on material object of the actual power consumption in urban areas of Nanchang. The results show that this method has the characteristic of the minimum training times, the shortest consumption time, the minimum error and the shortest operation time to obtain the best fitting effect.  

  10. Balancing Renewable Electricity Energy Storage, Demand Side Management, and Network Extension from an Interdisciplinary Perspective

    CERN Document Server

    Droste-Franke, Bert; Rehtanz, Christian; Sauer, Dirk Uwe; Schneider, Jens-Peter; Schreurs, Miranda; Ziesemer, Thomas

    2012-01-01

    A significant problem of integrating renewable energies into the electricity system is the temporally fluctuating energy production by wind and solar power plants. Thus, in order to meet the ambitious long-term targets on CO2 emission reduction, long-term viable low-carbon options for balancing electricity will be needed. This interdisciplinary study analyses published future energy scenarios in order to get an impression of the required balancing capacities and shows which framework conditions should be modified to support their realisation. The authors combine their perspectives from energy engineering, technology assessment, political science, economical science and jurisprudence and address science, politics, actors in the energy sector and the interested public. Respectively, requirements for the balancing systems are analysed, considering the case of Germany as a large country with high ambitions to reduce greenhouse gas emissions. Additionally, an approach to investigate the optimal design of the techn...

  11. Social Welfare implications of demand response programs in competitive electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Boisvert, Richard N.; Neenan, Bernard F.

    2003-08-01

    The price volatility exhibited by wholesale electricity markets has stymied the movement to restructure the industry, and may derail it altogether. Market designers argue that prices are superior to regulation for directing long-term investments to the proper location and function, and that price volatility is a natural manifestation of a robustly competitive market. However, episodes of prices that soar to previously unimaginable heights try customers' patience and cause policy makers to reconsider if the prize is worth the consequences.

  12. Simulated Annealing Approach Applied to the Energy Resource Management Considering Demand Response for Electric Vehicles

    OpenAIRE

    Sousa, Tiago; Vale, Zita; Morais, Hugo

    2013-01-01

    The aggregation and management of Distributed Energy Resources (DERs) by an Virtual Power Players (VPP) is an important task in a smart grid context. The Energy Resource Management (ERM) of theses DERs can become a hard and complex optimization problem. The large integration of several DERs, including Electric Vehicles (EVs), may lead to a scenario in which the VPP needs several hours to have a solution for the ERM problem. This is the reason why it is necessary to use metaheuristic methodolo...

  13. Balancing renewable electricity. Energy storage, demand side management, and network extension from an interdisciplinary perspective

    Energy Technology Data Exchange (ETDEWEB)

    Droste-Franke, Bert [Europaeische Akademie zur Erforschung von Folgen Wissenschaftlich-Technischer Entwicklungen GmbH, Bad Neuenahr-Ahrweiler (Germany); Paal, Boris P.; Rehtanz, Christian; Sauer, Dirk Uwe; Schneider, Jens-Peter; Schreurs, Miranda; Ziesemer, Thomas

    2012-07-01

    A significant problem of integrating renewable energies into the electricity system is the temporally fluctuating energy production by wind and solar power plants. Thus, in order to meet the ambitious long-term targets on CO{sub 2} emission reduction, long-term viable low-carbon options for balancing electricity will be needed. This interdisciplinary study analyses published future energy scenarios in order to get an impression of the required balancing capacities and shows which framework conditions should be modified to support their realisation. The authors combine their perspectives from energy engineering, technology assessment, political science, economical science and jurisprudence and address science, politics, actors in the energy sector and the interested public. Respectively, requirements for the balancing systems are analysed, considering the case of Germany as a large country with high ambitions to reduce greenhouse gas emissions. Additionally, an approach to investigate the optimal design of the technical system for balancing electricity over Europe is sketched. Looking at the challenges of a future energy system a mix of complementary technologies will prospectively become prevalent. In order to foster the needed innovation processes adequately, several funding mechanisms and legal regulations should be adapted. The authors give recommendations to handle major challenges in the development of the technical infrastructure, for the design of market conditions and for specific support of the application of balancing technologies. (orig.)

  14. A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework

    Directory of Open Access Journals (Sweden)

    David Chinarro

    2012-08-01

    Full Text Available One of the main challenges of today’s society is the need to fulfill at the same time the two sides of the dichotomy between the growing energy demand and the need to look after the environment. Smart Grids are one of the answers: intelligent energy grids which retrieve data about the environment through extensive sensor networks and react accordingly to optimize resource consumption. In order to do this, the Smart Grids need to understand the existing relationship between energy demand and a set of relevant climatic variables. All smart “systems” (buildings, cities, homes, consumers, etc. have the potential to employ their intelligence for self-adaptation to climate conditions. After introducing the Smart World, a global framework for the collaboration of these smart systems, this paper presents the relationship found at experimental level between a range of relevant weather variables and electric power demand patterns, presenting a case study using an agent-based system, and emphasizing the need to consider this relationship in certain Smart World (and specifically Smart Grid and microgrid applications.

  15. A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework

    Science.gov (United States)

    Hernández, Luis; Baladrón, Carlos; Aguiar, Javier M.; Calavia, Lorena; Carro, Belén; Sánchez-Esguevillas, Antonio; Cook, Diane J.; Chinarro, David; Gómez, Jorge

    2012-01-01

    One of the main challenges of today's society is the need to fulfill at the same time the two sides of the dichotomy between the growing energy demand and the need to look after the environment. Smart Grids are one of the answers: intelligent energy grids which retrieve data about the environment through extensive sensor networks and react accordingly to optimize resource consumption. In order to do this, the Smart Grids need to understand the existing relationship between energy demand and a set of relevant climatic variables. All smart “systems” (buildings, cities, homes, consumers, etc.) have the potential to employ their intelligence for self-adaptation to climate conditions. After introducing the Smart World, a global framework for the collaboration of these smart systems, this paper presents the relationship found at experimental level between a range of relevant weather variables and electric power demand patterns, presenting a case study using an agent-based system, and emphasizing the need to consider this relationship in certain Smart World (and specifically Smart Grid and microgrid) applications.

  16. Demands For Solar Electricity From The BRICS Countries In The Future

    Science.gov (United States)

    Fan, Y.

    2015-12-01

    BRICS countries are presently among the leading the economic powers globally, but their increasing demands for energy and sustainable future requires renewed technical progress on implementation of renewable energy (e.g., solar energy) and a sustainable solution rather than extracting finite natural resources. BRICS countries (Brazil, Russia, India, China and South Africa) face both social and environmental pressures as their economy keeps growing. The rapid development of technology in BRICS inevitably altered their culture and behavior, as reflected by education, gender equality, health, and other demographic/socio-economic indicators. These changes coupled with land use/land cover change have altered ecosystem services, as reflected by NEE (Net Ecosystem Exchange of CO2) and NDVI (Normalized Difference Vegetation Index). Global climatic changes also drives the demand for sustainable energy. With a focus on solar energy, we analyzed time series of energy consuming behaviors, government policies, and the ecosystem services. Structural equation modeling was applied to confirm the relationships among societal transition, ecosystem services, and climate change. We compared the energy consumption patterns for the five countries and forecasted the changes through 2025. We found that government policies significantly influenced energy consumption behaviors for BRICS and that solar energy usage would continue to increase to 2025 and beyond.

  17. Twelve-Month Evaluation of UPS Diesel Hybrid Electric Delivery Vans

    Energy Technology Data Exchange (ETDEWEB)

    Lammert, M.

    2009-12-01

    Results of an NREL study of a parallel hybrid electric-diesel propulsion system in United Parcel Service-operated delivery vans show that the hybrids had higher fuel economy than standard diesel vans.

  18. A novel domestic electric water heater model for a multi-objective demand side management program

    Energy Technology Data Exchange (ETDEWEB)

    Paull, Liam; Li, Howard; Chang, Liuchen [University of New Brunswick, Department of Electrical Engineering, Fredericton, NB (Canada)

    2010-12-15

    This paper presents a novel domestic hot water heater model to be used in a multi-objective demand side management program. The model incorporates both the thermal losses and the water usage to determine the temperature of the water in the tank. Water heater loads are extracted from household load data and then used to determine the household water usage patterns. The benefits of the model are: (1) the on/off state of the water heater and temperature of the water in the tank can be accurately predicted, and (2) it enables the development of water usage profiles so that users can be classified based on usage behaviour. As a result, the amount of ancillary services and peak shaving that can be achieved are accurately predictable and can be maximized without adversely affecting users. (author)

  19. Electricity demand and the structure in Japan. Examination using time series analysis; Nippon denryoku juyo no suii to sono kozo. Jikeiretsu bunseki ni yoru kento

    Energy Technology Data Exchange (ETDEWEB)

    Kato, H. [Central Research Institute of Electric Power Industry, Tokyo (Japan)

    1996-12-25

    Stable supply of power was studied by applying the time-series analytical technique to the analysis of domestic power demand time series shift and power demand structure. Unit root tests were performed for four series of demands for power, that is, the great demand, business demand, small demand, and lighting demand. Then, the null hypothesis advocating the presence of unit roots in them could not be rejected but, on the other hand, the null hypotheses was discarded in some tests advocating their steady presence. Furthermore, a power demand function was derived and the relationship of power demand with the cointegration component as the income and price factor was examined, when it was found that the power demand function itself gives a long-range, stable relationship. Utilizing this conclusion, an error correction model and vector autoregression model were induced. It was then shown that a short-range disequilibrium in the long-range stable relationship is corrected approximately in 2 years in the case of the great demand, and approximately in 9 months in the case of the lighting demand. Again, a conclusion was reached that the price factor did not involve any causality in the case of the lighting demand. 14 refs., 4 figs., 9 tabs.

  20. Electric Power Research Institute: Environmental Control Technology Center report to the Steering Committee. Final technical monthly report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-10-01

    Operations and maintenance continued this month at the Electric Power Research Institute`s Environmental Control Technology Center. Testing on the 4.0 MW Pilot Wet FGD unit continued this month with the Trace Element Removal test block (TER) as the Pilot was operated under forced oxidation conditions. With this testing, the mercury measurement (Method 29) studies also continued as investigations into various activated carbons, metal amalgams, and impinger capture solutions were conducted. Following these studies, a brief test of the Pilot High Velocity FGD configuration (PHV) was conducted. This test block will be continued at the end of the month after the Fall outage is completed. The 1.0 MW Cold-Side Selective Catalytic Reduction (SCR) unit remained idle this month in a cold-standby mode. During this month`s outage, the inlet and outlet damper plates were sealed to isolate the SCR system from flue gas. Also, the internals of the heat pipe heat exchanger (HPHE) and catalyst reactor tower were inspected and cleaned so that the system could be available for future test activities. Monthly inspections of all SCR system equipment placed in this cold-standby mode, as well as the fire safety systems in the SCR building, will continue to be conducted by the ECTC maintenance department and will include manual rotation of the booster fan.

  1. Analysis of the key factors of the change in the demand of electrical energy in Neuquén

    Directory of Open Access Journals (Sweden)

    Griselda Domeett

    2015-12-01

    Full Text Available The electrical energy is a basic input of high diffusion, derived from its capacity to satisfy all type of necessities. It shows that seasonal alterations in the consumptions are motivated by the level of economic activity, climatic changes and demographic dynamics. Since this is an essential good that cannot be stored, it determines the configuration, planning, operation and organization of the electrical energy systems. Its particular feature is forced to perform a multidimensional coverage: technological, economic, political, legal and environmental. The analysis of the factors that determine the levels and structures of the electric energy consumption it allows to identify the supplying problems, and the actions and policies that promote the sustainable usage of the service.Accordingly, the current work tries to make a preliminary analysis of these changes in the capital city of Neuquén, since the 90s until recent years. In order to do this, information from the Population Census, Provincial Registers, Household Surveys, Consumption and Invoicing sector, has been used.                                                                                          Keywords: Electrical energy, demand evolution key factors

  2. Management of the power demand and consumption of electric energy in the Jequitinhonha Valley

    Energy Technology Data Exchange (ETDEWEB)

    Nobre, E.

    1995-12-01

    The Jequitinhonha Valley, a poor region in the northeast of the State of Minas Gerais, is within SUDENE`s area of influence (the dried out regions) and presents basically a residential consumption profile. With low demographic density and total lack of resources, it has a very insignificant industrial development. The Electric System`s resources for a better servicing in the area have been depleted and the necessary reinforcement of the system should lead to a total disbursement of US $25 million. It is important to stand out that such investment would supply the consumption of a daily period shorter than an hour, that is 45 minutes, and that the load factor in the area is smaller than 50%, while Companhia Energetica de Minas Gerais` (CEMIG) average already is above 80%. The Jequitinhonha Valley is currently served by a 138 kV transmission line from Teofilo Otoni to Padre Paraiso, with a load capacity of a continuous 52 MVA. The current loading has reached 113 % and a 123 %, thus leading to serious problems in tension levels and in supply.

  3. A sustainable development of a city electrical grid via a non-contractual Demand-Side Management

    Science.gov (United States)

    Samoylenko, Vladislav O.; Pazderin, Andrew V.

    2017-06-01

    An increasing energy consumption of large cities as well as an extreme high density of city electrical loads leads to the necessity to search for an alternative approaches to city grid development. The ongoing implementation of the energy accounting tariffs with differentiated rates depending upon the market conditions and changing in a short-term perspective, provide the possibility to use it as a financial incentive base of a Demand-Side Management (DSM). Modern hi-technology energy metering and accounting systems with a large number of functions and consumer feedback are supposed to be the good means of DSM. Existing systems of Smart Metering (SM) billing usually provide general information about consumption curve, bills and compared data, but not the advanced statistics about the correspondence of financial and electric parameters. Also, consumer feedback is usually not fully used. So, the efforts to combine the market principle, Smart Metering and a consumer feedback for an active non-contractual load control are essential. The paper presents the rating-based multi-purpose system of mathematical statistics and algorithms of DSM efficiency estimation useful for both the consumers and the energy companies. The estimation is performed by SM Data processing systems. The system is aimed for load peak shaving and load curve smoothing. It is focused primarily on a retail market support. The system contributes to the energy efficiency and a distribution process improvement by the manual management or by the automated Smart Appliances interaction.

  4. Emetic and Electric Shock Alcohol Aversion Therapy: Six- and Twelve-Month Follow-Up.

    Science.gov (United States)

    Cannon, Dale S.; Baker, Timothy B.

    1981-01-01

    Follow-up data are presented for 6- and 12-months on male alcoholics (N=20) who received either a multifaceted inpatient alcoholism treatment program alone (controls) or emetic or shock aversion therapy in addition to that program. Both emetic and control subjects compiled more days of abstinence than shock subjects. (Author)

  5. Demands on project management of comprehensive modernization projects in the electrical systems area. Example of modernization of electrical systems of Kozloduy NPP Unit 5 and 6

    Energy Technology Data Exchange (ETDEWEB)

    Stinshoff, Helmut; Weber, Patrick [Framatome ANP GmbH, P.O. Box 3220, Freyeslebenstrasse 1, D-91050 Erlangen (Germany)

    2006-07-01

    In nuclear power plants, station supply with electric energy must be guaranteed any time. This applies in particular also during the implementation of complex electrical systems modernization projects. Highest demands on the project management, extensive experience and system knowledge are required. In the frame of the Modernization Program for the nuclear power plant Kozloduy unit 5 and 6 in Bulgaria Framatome ANP has approved its ability to implement a large scope of modernization measures during the refueling outages of the years 2003 to 2005. The Contract of the Modernization Program for the European Consortium Kozloduy (Framatome ANP, Atomenergoexport) was signed in July 1999 and became effective in June 2001. The project will be finished by May 2006, with the approval of the Updated Final Safety Analysis Report. The scope of hardware work has been implemented within 6 plant outages during the years 2002 to 2005. The focus of the Modernization Program is mainly oriented to nuclear safety aspects, with the aim of upgrading of the Units to a high safety level in compliance with international practice. A further section of the project is dedicated to upgrading of operational equipment. Framatome ANP personnel have shown that besides the technical challenges which had to be faced, also the intercultural and language barriers were successfully overcome. The good teamwork between the partners of the Consortium ECK, its Bulgarian subcontractors and with Kozloduy plant personnel has been an important success factor. (authors)

  6. Prioritizing Demand Response: How Federal Legislation and Technological Innovation Changed the Electricity Supply Market and the Need to Revitalize FERC Order 745

    Directory of Open Access Journals (Sweden)

    Bradley J. McAllister

    2015-08-01

    Full Text Available Traditional barriers to entry in the electricity supply marketplace are crumbling due to recent federal legislation and new technology. The Federal Energy Regulatory Commission (FERC's Order 745 prioritizes the use of demand response via a uniform pricing mechanism. Through it, demand response is able to provide the same benefit as traditional electricity generation - at a reduced cost - and improve service, reliability, and market development. Consequently, the increased use of demand response reduces prices for regional grid operators, as well as commercial, institutional, and residential consumers. This Note discusses the legal, economic, and policy reasons for upholding Order 745 in the face of transformative change in the electricity supply market and evaluates the history of smart grid legislation leading up to the issuance of Order 745 in 2011. Next, it analyzes how energy intelligence hardware and software allow new entrants into the wholesale electricity supply market in hopes of capitalizing on inefficiencies in regional power distribution and the revolutionary opportunities for residential consumers through new technologies. Most importantly, this Note argues for a reversal of the D.C. Circuit’s decision to vacate Order 745 in the case EPSA v. FERC, decided in May 2014. Such a reversal is necessary because Order 745 falls within FERC’s authority under the Federal Power Act and the loss of a uniform pricing mechanism for demand response resources sold at capacity auctions will harm electricity markets.

  7. Thirty-Six Month Evaluation of UPS Diesel Hybrid-Electric Delivery Vans

    Energy Technology Data Exchange (ETDEWEB)

    Lammert, M.; Walkowicz, K.

    2012-03-01

    This evaluation compared six hybrids and six standard diesels in UPS facilities in Phoenix, Arizona. Dispatch and maintenance practices are the same at both facilities. GPS logging, fueling, and maintenance records are used to evaluate the performance of these step delivery vans. The hybrids' average monthly mileage rate was 18% less than the diesel vans. The hybrids consistently were driven a fewer number of miles throughout the evaluation period. The hybrids idled more and operating at slower speeds than the diesels, and the diesels spent slightly more time operating at greater speeds, accounting for much of the hybrids fewer monthly miles. The average fuel economy for the hybrid vans is 13.0 mpg, 23% greater than the diesel vans 10.6 mpg. Total hybrid maintenance cost/mile of $0.141 was 9% more than the $0.130 for the diesel vans. Propulsion-related maintenance cost/mile of $0.037 for the hybrid vans was 25% more than the $0.029 for the diesel vans. Neither difference was found to be statistically significant. The hybrid group had a cumulative average of 96.3% uptime, less than the diesel group's 99.0% uptime. The hybrids experienced troubleshooting and recalibration issues related to prototype components that were primarily responsible for the lower uptime figures.

  8. Forecasting electricity demand based on data mining%基于数据挖掘的电力需求预测探究

    Institute of Scientific and Technical Information of China (English)

    李其军

    2015-01-01

    电力需求的预测是电力服务企业制定供电、购电的重要依据,因此,做好对电力需求的预测,对提高电力企业的经济运行能力具有重要的作用。本文结合原始预测系统中存在的问题,提出采用数据挖掘技术对原始数据的采集、预处理等,从而实现对电力需求预测的客观性和准确性,更好的服务与电力企业和社会。%Electricity demand forecasting electricity supply service companies develop,purchase an important basis for electricity and, therefore, do a good job of forecasting electricity demand,the ability to improve the economic operation of power enterprises play an important role.In this paper,the original prediction system problems using data mining techniques proposed acquisition of the raw data,pre-processing , etc.,in order to achieve objectivity and accuracy of forecasts of electricity demand,better service and electricity business and society .

  9. Short-run and long-run elasticities of electricity demand in the public sector: A case study of the United States Navy bases

    Science.gov (United States)

    Choi, Jino

    Numerous studies have examined the elasticities of electricity demand---residential as well as commercial and industrial---in the private sector. However, no one appears to have examined the behavior of the public sector demand. This study aims to fill that gap and to provide insights into the electricity demand in the public sector, using the U.S. Navy bases as a case study. This study examines electricity demand data of 38 Navy activities within the United States for a 16-year time period from 1985 through 2000. The Navy maintains a highly diverse shore infrastructure to conduct its mission and to support the fleet. The types of shore facilities include shipyards, air stations, aviation depots, hospital, and many others. These Navy activities are analogous to commercial or industrial organizations in the private sector. In this study, I used a number of analytical approaches to estimate short-run and long-run elasticities of electricity demand. Estimation using pooled data was rejected because it failed the test for homogeneity. Estimation using the time series data of each Navy activity had several wrong signs for coefficients. The Stein-rule estimator did not differ significantly from the separate cross-section estimates because of the strong rejection of the homogeneity assumption. The iterative Bayesian shrinkage estimator provided the most reasonable results. The empirical findings from this study are as follows. First, the Navy's electricity demand is price elastic. Second, the price elasticities appear to be lower than those of the private sector. The short-run price elasticities for the Navy activities ranged from -0.083 to -0.157. The long-run price elasticities ranged from -0.151 to -0.769.

  10. Technological solutions of decentralized generation of hydroelectricity for those demands that cannot be attended by conventional electric with centralized generation

    Energy Technology Data Exchange (ETDEWEB)

    Signoretti, Valdir Tesche; Veras, Carlos Alberto Gurgel Rudi; Els, Henri Van [Universidade de Brasilia, Brasilia, DF (Brazil). Faculdade de Tecnologia. Dept. de Engenharia Mecanica], e-mail: gurgel@unb.br

    2010-07-01

    A source of energy stable and reliable and of acceptable cost is a basic requisite for the development of a given region can give-if full. Access to energy is important basis of human existence, essential to the satisfaction of basic needs such as food, clothing, and housing and also of mobility and communication. However, the dependency world burning of fossil fuels for energy generation and supply of a demand constantly increasing, both in industrialized countries and those in development, already threatening the ecological stability of the Earth. At the same time, conflicts by distribution of the last reserves these resources non-renewable threaten significantly to civil society. Adding to the breakneck speed in which humanity consumes the energetic sources and the obvious devastation of nature has an unequal distribution in consumption and access to energy. Renewable sources and energy efficiency are viable and necessary, especially because they can be the key to reduce wastefulness and extend the access to energy. In this way, there is a significant influence on economic and social inclusion of population excluded, generating employment and income with costs local and global environmental reduced compared to traditional forms and unsustainable generation and use of energy. This work is a study involving issues related to rural electrification from hydroelectricity, especially related to those isolated communities of the Amazon region that are lacking this form of energy, presented a general review since the origins of hydroelectricity in Brazil, as well as a national panorama electric exclusion as well as a scenario Amazon's supply of electricity. Finally presenting-if the main technologies available for hydroelectric generation for these isolated communities. (author)

  11. Demand response-enabled model predictive HVAC load control in buildings using real-time electricity pricing

    Science.gov (United States)

    Avci, Mesut

    A practical cost and energy efficient model predictive control (MPC) strategy is proposed for HVAC load control under dynamic real-time electricity pricing. The MPC strategy is built based on a proposed model that jointly minimizes the total energy consumption and hence, cost of electricity for the user, and the deviation of the inside temperature from the consumer's preference. An algorithm that assigns temperature set-points (reference temperatures) to price ranges based on the consumer's discomfort tolerance index is developed. A practical parameter prediction model is also designed for mapping between the HVAC load and the inside temperature. The prediction model and the produced temperature set-points are integrated as inputs into the MPC controller, which is then used to generate signal actions for the AC unit. To investigate and demonstrate the effectiveness of the proposed approach, a simulation based experimental analysis is presented using real-life pricing data. An actual prototype for the proposed HVAC load control strategy is then built and a series of prototype experiments are conducted similar to the simulation studies. The experiments reveal that the MPC strategy can lead to significant reductions in overall energy consumption and cost savings for the consumer. Results suggest that by providing an efficient response strategy for the consumers, the proposed MPC strategy can enable the utility providers to adopt efficient demand management policies using real-time pricing. Finally, a cost-benefit analysis is performed to display the economic feasibility of implementing such a controller as part of a building energy management system, and the payback period is identified considering cost of prototype build and cost savings to help the adoption of this controller in the building HVAC control industry.

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

    Energy Technology Data Exchange (ETDEWEB)

    McNeil, Michael A.; Iyer, Maithili

    2009-05-30

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

  13. Eighteen-Month Final Evaluation of UPS Second Generation Diesel Hybrid-Electric Delivery Vans

    Energy Technology Data Exchange (ETDEWEB)

    Lammert, M.; Walkowicz, K.

    2012-09-01

    A parallel hybrid-electric diesel delivery van propulsion system was evaluated at a UPS facility in Minneapolis using on-vehicle data logging, fueling, and maintenance records. Route and drive cycle analysis showed different duty cycles for hybrid vs. conventional delivery vans; routes were switched between the study groups to provide a valid comparison. The hybrids demonstrated greater advantage on the more urban routes; the initial conventional vans' routes had less dense delivery zones. The fuel economy of the hybrids on the original conventional group?s routes was 10.4 mpg vs. 9.2 mpg for the conventional group on those routes a year earlier. The hybrid group's fuel economy on the original hybrid route assignments was 9.4 mpg vs. 7.9 mpg for the conventional group on those routes a year later. There was no statistically significant difference in total maintenance cost per mile or for the vehicle total cost of operation per mile. Propulsion-related maintenance cost per mile was 77% higher for the hybrids, but only 52% more on a cost-per-delivery-day basis. Laboratory dynamometer testing demonstrated 13%-36% hybrid fuel economy improvement, depending on duty cycle, and up to a 45% improvement in ton-mi/gal. NOx emissions increased 21%-49% for the hybrids in laboratory testing.

  14. A New Method to Plan the Capacity and Location of Battery Swapping Station for Electric Vehicle Considering Demand Side Management

    Directory of Open Access Journals (Sweden)

    Wenxia Liu

    2016-06-01

    Full Text Available Compared to electric vehicle (EV charging mode, battery swapping mode can realize concentrated and orderly charging. Therefore battery swapping stations (BSS can participate in the demand side management (DSM as an integrated form. In this context, a new method to plan the capacity and location of BSS for EV, considering DSM, is proposed in this paper. Firstly, based on the original charging power of BSS with the rule of “First-In First-Out”, a bi-level optimal configuration model of BSS, in which net profit of BSS is maximized in the upper model and operating cost of Distribution Company is minimized in the lower model, is developed to decide the rated power, number of batteries, contract pricing and dispatched power of BSS for DSM. Then, the optimal locating model of BSS with the objective of minimizing network loss is built. A mesh adaptive direct search algorithm with YALMIP toolbox is applied to optimize the bi-level model. Simulation calculation was carried on IEEE-33 nodes distribution system and the results show that participating in DSM can improve the economic benefits of both BSS and distribution network and promote the consumption of distributed generation, verifying the feasibility and effectiveness of the proposed method.

  15. Simulation modeling for analysis of effectiveness and prime movers electrical energy demand of liquid coupled energy recovery systems

    Energy Technology Data Exchange (ETDEWEB)

    Ardehali, M.M. [Power and Energy Management Division, Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Ave, Tehran (Iran); Torfi, S. [Energy Systems Engineering Division, Department of Mechanical Engineering, KN Toosi University of Technology (Iran)

    2006-09-15

    Realization of anticipated energy efficiency from recuperative liquid coupled run-around energy recovery (LER) systems requires identification of the system components influential parameters and accounting for the prime movers energy requirements. Because simulation modeling is considered as an integral part of the design and economic evaluation of LER systems, it is essential to calibrate the developed models and validate the performance predictions by means of comparison with data from experimental measurements. The objective of this study is to develop a simulation model for a typical LER system that accounts for (a) energy loss from the interconnecting piping, (b) temperature dependency of thermophysical properties, (c) hydraulic pressure drop as a function of liquid Reynolds number and other related physical parameters, such as bends and bypass flow, (d) heat exchangers air side convective transfer coefficients based on recent correlations reported for wavy fins and (e) varying efficiency for prime movers. To achieve the objective, several simplifying assumptions used in previous studies have been relaxed; the interactions between all system components are mathematically modeled; and the latest correlations are utilized. The results from the simulation modeling of this study are found to be within 4% of the experimental data reported in the literature. Because of the dynamics introduced by the operation of the three way valve, controlling the pump and fan motors based on the bypass ratio is recommended, as it would result in better management of the electrical energy demand. (author)

  16. 中国电力行业周期波动特征及电力需求影响因素分析——基于景气分析及误差修正模型的研究%Characteristics of Electricity Industry Cycle Fluctuation and Influential Factors of Electricity Demand Based on Business Analysis and the Error Correction Model

    Institute of Scientific and Technical Information of China (English)

    刘畅; 高铁梅

    2011-01-01

    2008年的国际金融危机使我国电力消费需求快速下降,而宏观经济却保持正增长,这一现象使人们怀疑数据的真实性.本文使用景气分析方法建立了电力行业景气指数,分析了2000年以来电力行业的周期波动特征,并使用月度数据建立了误差修正模型,研究了影响电力行业波动的长期经济因素和短期动态调整效应.研究结果表明,电力行业景气与宏观经济波动具有一致的变化趋势,但波动幅度不同;工业经济增长、高耗电行业结构、库存及电力需求之间存在稳定的长期均衡关系,工业经济增长和经济结构重型化是影响电力需求的最重要因素,库存与电力需求之间存在显著负相关关系;从金融危机时期电力行业波动的谷底来看,工业经济下滑和高耗电行业结构变化是电力行业周期波动出现深谷的主要原因,特别地,由于市场需求变化引起的库存调整能够导致电力需求更剧烈的波动;无论是长期还是短期,电价对电力需求的影响都不显著.%Due to the outbreak of the global financial crisis and its impact on the real economy in China, China' s electricity consumption demand reduced significantly. In the second half of year 2008, the contradiction that electricity consumption declination was accompanied with GDP growth occurred. The authors examined characteristics of cyclical fluctuation of the electricity industry, the relationship between the electricity industry cycle and macro economic cycle, and factors affecting changes in electricity consumption. Using monthly macro and performance data across the period January 1999-November 2009, the authors first constructed the business indexes for China' s electricity industry with business analysis methods to analyze characteristics of the electricity industry cycle and fluctuation since 2000. With the time difference correlation analysis and cyclical pattern matching methods, the authors selected

  17. Analysis of Household Characteristics Affecting the Demand of PLN’s Electricity. An Observation on Small Households in City of Medan, Indonesia

    Directory of Open Access Journals (Sweden)

    Tongam Sihol Nababan

    2015-06-01

    Full Text Available This study aimed to: (1 analyze the characteristics of households affecting energy consumption of simple household electricity, (2 analyze the probability of each of the factors affecting the energy consumption of small household electricity. The study was conducted in city of Medan in the period of January 2014 to September 2014 with samples of 143 small households as the customers of PLN (State Electricity Company Medan, which use the low voltage of electricity named TR-1/450VA. Data were analyzed by using the logistic regression model. The estimation results indicated that: (1 the higher the willingness to pay (WTP of households, the higher the tendency to consume electrical energy >100 KWh per month by 4.694 times than of the households with willingness to pay 100 KWh per month by 2.288 times than of the households residence in the suburbs, (3 increasingly unfavourable response to electrical quality, the higher the chance to consume electrical energy > 100 KWh per month.

  18. Households under the impression of the energy turnaround. Development of electricity demand and load profiles; Die Haushalte im Zeichen der Energiewende. Entwicklung der Stromnachfrage und Lastprofile

    Energy Technology Data Exchange (ETDEWEB)

    Elsland, Rainer; Bossmann, Tobias; Gnann, Till; Wietschel, Martin [Fraunhofer-Institut fuer System- und Innovationsforschung (ISI), Karlsruhe (Germany); Hartel, Rupert; Fichtner, Wolf [Karlsruher Institut fuer Technologie (KIT), Karlsruhe (Germany). Inst. fuer Industriebetriebslehre und Industrielle Produktion (IIP)

    2013-01-15

    One of the central components of the energy turnaround is the improvement of energy efficiency. Households play a key role in this connection, not only due to their high potentials for saving energy and shifting loads, but also because of the growing importance of electricity as an energy carrier. This makes it interesting to explore how the continuing dissemination of efficient energy applications, electromobility and decentralised electricity production through photovoltaics will impact on load and electricity production profiles in the German household sector until the year 2040. The results show that with ambitious energy policy goals it will be possible to lower the electricity demand of households by 30%. However, this decrease could be more than undone by electromobility.

  19. Essays on measurement and evaluation of demand side management programs in the electricity industry, and impacts of firm strategy on stock price in the biotechnology industry

    Science.gov (United States)

    Bandres Motola, Miguel A.

    Essay one estimates changes in small business customer energy consumption (kWh) patterns resulting from a seasonally differentiated pricing structure. Econometric analysis leverages cross-sectional time series data across the entire population of affected customers, from 2007 through the present. Observations include: monthly energy usage (kWh), relevant customer segmentations, local daily temperature, energy price, and region-specific economic conditions, among other variables. The study identifies the determinants of responsiveness to seasonal price differentiation. In addition, estimated energy consumption changes occurring during the 2010 summer season are reported for the average customer and in aggregate grouped by relevant customer segments, climate zone, and total customer base. Essay two develops an econometric modeling methodology to evaluate load impacts for short duration demand response events. The study analyzes time series data from a season of direct load control program tests aimed at integrating demand response into the wholesale electricity market. I have combined "fuzzy logic" with binary variables to create "fuzzy indicator variables" that allow for measurement of short duration events while using industry standard model specifications. Typically, binary variables for every hour are applied in load impact analysis of programs dispatched in hourly intervals. As programs evolve towards integration with the wholesale market, event durations become irregular and often occur for periods of only a few minutes. This methodology is innovative in that it conserves the degrees of freedom in the model while allowing for analysis of high frequency data using fixed effects. Essay three examines the effects of strategies, intangibles, and FDA news on the stocks of young biopharmaceutical firms. An event study methodology is used to explore those effects. This study investigates 20,839 announcements from 1990 to 2005. Announcements on drug development

  20. A framework for electric vehicle charging strategy optimization tested for travel demand generated by an activity-based model

    OpenAIRE

    Usman, Muhammad; Knapen, Luk; Kochan, Bruno; Yasar, Ansar; Bellemans, Tom; Janssens, Davy; WETS, Geert

    2015-01-01

    This paper presents the cost optimization model which plans a charging strategy for an electric vehicle. In case of time dependent electric prices an intelligent planner is required which plans the charging strategy only at cheaper moments and places to keep the vehicle charged enough to complete its scheduled travels. This model estimates the required charging energy to travel by the electric vehicle. Then using the time dependent electric prices and available power at each pe...

  1. An econometric analysis of electricity demand response to price changes at the intra-day horizon: The case of manufacturing industry in West Denmark

    Directory of Open Access Journals (Sweden)

    Niels Framroze Møller

    2015-06-01

    Full Text Available The use of renewable energy implies a more variable supply of power. Market efficiency may improve if demand can absorb some of this variability by being more flexible, e.g. by responding quickly to changes in the market price of power. To learn about this, in particular, whether demand responds already within the same day, we suggest an econometric model for hourly consumption- and price time series. This allows for multi-level seasonality and that information about day-ahead prices does not arrive every hour but every 24th hour (as a vector of 24 prices. We confront the model with data from the manufacturing industry of West Denmark (2007-2011. The results clearly suggest a lack of response. The policy implication is that relying exclusively on hourly price response by consumers for integrating volatile renewable electricity production is questionable. Either hourly price variation has to increase considerably or demand response technologies be installed.

  2. Double Pressure on Power Grids——The demand for electricity is dropping while the electricity price is not adjusted properly

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Since October 2008,China's social consumption of electricity had,for the first time,grown negatively compared to the same period of the previous year,and in November the negative growth range further expanded. The major pressure faced by the electricity industry has now turned from the contradiction between coal and electricity to electricity quantity. This is undoubtedly a true and new test to electricity enterprises which get used to high growth but are now suffering great losses. The reform of electricit...

  3. 46 CFR 169.689 - Demand loads.

    Science.gov (United States)

    2010-10-01

    ... Electrical Electrical Installations on Vessels of 100 Gross Tons and Over § 169.689 Demand loads. Demand loads must meet § 111.60-7 of this chapter except that smaller demand loads for motor feeders...

  4. Electric-field-induced energy tuning of on-demand entangled-photon emission from self-assembled quantum dots

    CERN Document Server

    Zhang, Jiaxiang; Höfer, Bianca; Chen, Yan; Keil, Robert; Zopf, Michael; Böttner, Stefan; Ding, Fei; Schmidt, Oliver G

    2016-01-01

    The scalability of quantum dot based non-classical light sources relies on the control over their dissimilar emission energies. Electric fields offer a promising route to tune the quantum dot emission energy through the quantum-confined Stark effect. However, electric fields have been mostly used for tuning the energy of single-photon emission from quantum dots, while electrical control over the energy of entangled-photon emission, which is crucial for building a solid-state quantum repeater using indistinguishable entangled photons, has not been realized yet. Here, we present a method to achieve electrical control over the energy of entangled-photon emission from quantum dots. The device consists of an electrically-tunable quantum diode integrated onto a piezoactuator. We find that, through application of a vertical electric field, the critical uniaxial stress used to eliminate the fine-structure-splitting of quantum dots can be linearly tuned. This allows realization of a triggered source of energy-tunable ...

  5. Staff report on monthly report cost and quality of fuels for electric utility plants. FPC form No. 423. Data for November 1977

    Energy Technology Data Exchange (ETDEWEB)

    None

    1978-04-01

    Electric generating plants with a total combined capacity of 25 MW or greater purchased fossil fuel equivalent to 1.5 quadrillion Btu's in Nov. 98.9% of which was for steam-electric generation. Measured by their total heat content, fossil fuel purchases for steam-electric generation were up 1.7% from last month and up 11.6% from Nov. 1976. Deliveries of coal totaled 48.3 million tons, an increase of 8.2 million tons above shipments made during Nov. 1976. Oil purchases for steam-electric generation reached 39.6 million barrels this month, a decrease of 5.6 million barrels below shipments made in Nov. of last year. Gas deliveries to steam-electric units total 219.2 billion ft/sup 3/ up 6.6% from last year's level. In Nov., the price of coal averaged 101.7 cents per millin Btu, a rise of 17.4% over the average price of a year ago. The average price of all oil delivered to steam plants was 219.3, a rise of 6.2% compared to Nov. 1976. Steam gas purchases averaged 134.9 cents per million Btu, an increase of 19.3% over the Nov. 1976 level. The following tabulations highlight the relative changes in deliveries and prices of fossil fuels for steam-electric generation for Nov. 1976 and Nov. 1977.

  6. 电力市场化改革背景下电力需求响应机制与支撑技术%Electric Power Demand Response Mechanism and Support Technology Under Electric Power Market Reform

    Institute of Scientific and Technical Information of China (English)

    庞鹏

    2016-01-01

    This paper summarizes theories and practices about demand response in domestic and overseas and concludes types, mechanism,evaluation systems and key support technologies of electric power demand response.In allusion to the situation of electric power response entering into business implementation stage under background of present electric power market re-form,it proposes theoretical architectures of electric power response including overall object for business implementation, response mechanism,performance evaluation method and support technology.%全面梳理国内外实施需求响应的理论与实践,系统归纳电力需求响应的类型、机制、评价体系和支撑关键技术。针对当前电力市场化改革背景下电力需求响应正进入商业化实施阶段,提出电力需求响应理论架构,包括需求响应商业化实施总体目标、响应机制、性能评价方法与支撑技术等关键要素。

  7. Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system

    DEFF Research Database (Denmark)

    Katz, Jonas; Møller Andersen, Frits; Morthorst, Poul Erik

    2016-01-01

    Applying a partial equilibrium model of the electricity market we analyse effects of exposing household electricity customers to retail products with variable pricing. Both short-term and long-term effects of exposing customers to hourly spot market prices and a simpler rebate scheme are analysed...... under scenarios with large shares of wind power in a Danish case study. Our results indicate strategies that could be favourable in ensuring high adoption of products and efficient response by households. We find that simple pricing schemes, though economically less efficient, could become important...... in an early phase to initialise the development of household demand response. At a later point, when long-term dynamics take effect, a larger effort should be made to shift consumers onto real-time rates, and an increased focus on overall adoption of variable pricing will be required. Another finding...

  8. Climate change is projected to have severe impacts on the frequency and intensity of peak electricity demand across the United States.

    Science.gov (United States)

    Auffhammer, Maximilian; Baylis, Patrick; Hausman, Catherine H

    2017-02-21

    It has been suggested that climate change impacts on the electric sector will account for the majority of global economic damages by the end of the current century and beyond [Rose S, et al. (2014) Understanding the Social Cost of Carbon: A Technical Assessment]. The empirical literature has shown significant increases in climate-driven impacts on overall consumption, yet has not focused on the cost implications of the increased intensity and frequency of extreme events driving peak demand, which is the highest load observed in a period. We use comprehensive, high-frequency data at the level of load balancing authorities to parameterize the relationship between average or peak electricity demand and temperature for a major economy. Using statistical models, we analyze multiyear data from 166 load balancing authorities in the United States. We couple the estimated temperature response functions for total daily consumption and daily peak load with 18 downscaled global climate models (GCMs) to simulate climate change-driven impacts on both outcomes. We show moderate and heterogeneous changes in consumption, with an average increase of 2.8% by end of century. The results of our peak load simulations, however, suggest significant increases in the intensity and frequency of peak events throughout the United States, assuming today's technology and electricity market fundamentals. As the electricity grid is built to endure maximum load, our findings have significant implications for the construction of costly peak generating capacity, suggesting additional peak capacity costs of up to 180 billion dollars by the end of the century under business-as-usual.

  9. Climate change is projected to have severe impacts on the frequency and intensity of peak electricity demand across the United States

    Science.gov (United States)

    Auffhammer, Maximilian; Baylis, Patrick; Hausman, Catherine H.

    2017-01-01

    It has been suggested that climate change impacts on the electric sector will account for the majority of global economic damages by the end of the current century and beyond [Rose S, et al. (2014) Understanding the Social Cost of Carbon: A Technical Assessment]. The empirical literature has shown significant increases in climate-driven impacts on overall consumption, yet has not focused on the cost implications of the increased intensity and frequency of extreme events driving peak demand, which is the highest load observed in a period. We use comprehensive, high-frequency data at the level of load balancing authorities to parameterize the relationship between average or peak electricity demand and temperature for a major economy. Using statistical models, we analyze multiyear data from 166 load balancing authorities in the United States. We couple the estimated temperature response functions for total daily consumption and daily peak load with 18 downscaled global climate models (GCMs) to simulate climate change-driven impacts on both outcomes. We show moderate and heterogeneous changes in consumption, with an average increase of 2.8% by end of century. The results of our peak load simulations, however, suggest significant increases in the intensity and frequency of peak events throughout the United States, assuming today’s technology and electricity market fundamentals. As the electricity grid is built to endure maximum load, our findings have significant implications for the construction of costly peak generating capacity, suggesting additional peak capacity costs of up to 180 billion dollars by the end of the century under business-as-usual. PMID:28167756

  10. Operations of electric taxis to serve advance reservations by trip chaining: Sensitivity analysis on network size, customer demand and number of charging stations

    Directory of Open Access Journals (Sweden)

    Hao Wang

    2016-10-01

    Full Text Available This research investigated the performance of an Electric Taxi (ET fleet that catered solely for customers with advance reservations. In a previously related research, a customized Paired Pickup and Delivery Problem with Time Window and Charging Station (PPDPTWCS had been formulated to solve for the minimum number of taxis that would serve a fixed set of customer demand. The concept behind this fleet optimization was to chain multiple customer trips and trips to Charging Stations (CSs to form a route and assigned to a taxi driver. In this paper the sensitivity of the ET fleet’s operations with respect to network sizes, customer demand densities and number of CSs have been investigated. It also analyzed the market shares of the CSs and the occupancy of a CS over time. The results showed that, (1 the expansion of network size or the increase in customer demand density led to increase in fleet size, number of trips to the CSs and maximum occupancies at the CSs but these performance measures grew at different rates; (2 when the network size and number of CSs were fixed, an increase in customer demand density led to a better utilization of taxis in terms of more customers served per taxi and higher average revenue per taxi; (3 given the same network size and demand density, the ET fleet’s performance was relatively insensitive to the number of CSs; and (4 the usage of individual CS was affected by the number of CS and their locations; and (5 when all the ETs were fully charged at the beginning of the same shift hour, they visited the CSs in bunches when their batteries were about to run out. These findings contribute to a better understanding of the operations of the ET fleet and the CSs. They could be used for making better decisions in the planning of ET operations.

  11. Use of the NII to study impacts of new technologies and policies on supply and demand of electric power

    Energy Technology Data Exchange (ETDEWEB)

    Munro, J.K. Jr. [Oak Ridge National Lab., TN (United States). Instrumentation and Controls Div.

    1995-04-01

    This paper describes a proposal to use an implementation of client-server technology on the Internet for simulating a number of aspects of electric power production, distribution, and consumption within a wholly new regulatory, financing, operating, and control environment. This approach would use a large number of people to generate strategies and decisions, in a real-time context, needed to drive the simulation. A World Wide Web server would provide background information about the simulation for those who chose to participate as actors in one of supported roles. Roles would be based on activities associated with different business areas and would include utility manager, independent power producer (entrepreneur), electric power futures trader, electric power futures investor, electric power wheeler, industrial customer, commercial customer, and residential customer. The simulation program would run on a system of high-performance computers (parallel computer system) that communicate between each other on a high speed communications bus. These computers would also be the server systems for the client programs used by the actors. People who want to be actors would be required to register before being given a client program, as a way to have some control over the simulation results. Each role will have its corresponding client program with graphical user interface. Each client program will support a common view of the simulation results and a role specific view.

  12. A statistical analysis of energy and power demand for the tractive purposes of an electric vehicle in urban traffic - an analysis of a short and long observation period

    Science.gov (United States)

    Slaski, G.; Ohde, B.

    2016-09-01

    The article presents the results of a statistical dispersion analysis of an energy and power demand for tractive purposes of a battery electric vehicle. The authors compare data distribution for different values of an average speed in two approaches, namely a short and long period of observation. The short period of observation (generally around several hundred meters) results from a previously proposed macroscopic energy consumption model based on an average speed per road section. This approach yielded high values of standard deviation and coefficient of variation (the ratio between standard deviation and the mean) around 0.7-1.2. The long period of observation (about several kilometers long) is similar in length to standardized speed cycles used in testing a vehicle energy consumption and available range. The data were analysed to determine the impact of observation length on the energy and power demand variation. The analysis was based on a simulation of electric power and energy consumption performed with speed profiles data recorded in Poznan agglomeration.

  13. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    Energy Technology Data Exchange (ETDEWEB)

    Hong, Tianzhen; Chang, Wen-Kuei; Lin, Hung-Wen

    2013-05-01

    Buildings consume more than one third of the world?s total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small

  14. A hybrid HTGR system producing electricity, hydrogen and such other products as water demanded in the Middle East

    Energy Technology Data Exchange (ETDEWEB)

    Yan, X., E-mail: yan.xing@jaea.go.jp; Noguchi, H.; Sato, H.; Tachibana, Y.; Kunitomi, K.; Hino, R.

    2014-05-01

    Alternative energy products are being considered by the Middle East countries for both consumption and export. Electricity, water, and hydrogen produced not from oil and gas are amongst those desirable. A hybrid nuclear production system, GTHTR300C, under development in JAEA can achieve this regional strategic goal. The system is based on a 600 MWt HTGR and equipped to cogenerate electricity by gas turbine and seawater desalination by using only the nuclear plant waste heat. Hydrogen is produced via a thermochemical water-splitting process driven by the reactor's 950 °C heat. Additionally process steam may be produced for industrial uses. An example is shown of manufacturing soda ash, an internationally traded commodity, from using the steam produced and the brine discharged from desalination. The nuclear reactor satisfies nearly all energy requirements for the hybrid generations without emitting CO{sub 2}. The passive safety of the reactor as described in the paper permits proximity of siting the reactor with the production facilities to enhance energy transmission. Production flowsheet of the GTHTR300C is given for up to 300 MWe electricity, 58 t/day hydrogen, 56,000 m{sup 3}/day potable water, 3500 t/day steam, and 1000 t/day soda ash. The production thermal efficiency reaches 88%.

  15. A Personalized Rolling Optimal Charging Schedule for Plug-In Hybrid Electric Vehicle Based on Statistical Energy Demand Analysis and Heuristic Algorithm

    Directory of Open Access Journals (Sweden)

    Fanrong Kong

    2017-09-01

    Full Text Available To alleviate the emission of greenhouse gas and the dependence on fossil fuel, Plug-in Hybrid Electrical Vehicles (PHEVs have gained an increasing popularity in current decades. Due to the fluctuating electricity prices in the power market, a charging schedule is very influential to driving cost. Although the next-day electricity prices can be obtained in a day-ahead power market, a driving plan is not easily made in advance. Although PHEV owners can input a next-day plan into a charging system, e.g., aggregators, day-ahead, it is a very trivial task to do everyday. Moreover, the driving plan may not be very accurate. To address this problem, in this paper, we analyze energy demands according to a PHEV owner’s historical driving records and build a personalized statistic driving model. Based on the model and the electricity spot prices, a rolling optimization strategy is proposed to help make a charging decision in the current time slot. On one hand, by employing a heuristic algorithm, the schedule is made according to the situations in the following time slots. On the other hand, however, after the current time slot, the schedule will be remade according to the next tens of time slots. Hence, the schedule is made by a dynamic rolling optimization, but it only decides the charging decision in the current time slot. In this way, the fluctuation of electricity prices and driving routine are both involved in the scheduling. Moreover, it is not necessary for PHEV owners to input a day-ahead driving plan. By the optimization simulation, the results demonstrate that the proposed method is feasible to help owners save charging costs and also meet requirements for driving.

  16. Esophageal perforation caused by fish vertebra ingestion in a seven-month-old infant demanded surgical intervention:A case report

    Institute of Scientific and Technical Information of China (English)

    Ming-Yu Chang; Ming-Ling Chang; Chang-Teng Wu

    2006-01-01

    A seven-month-old infant was admitted to our hospital with a 1-wk history of shortness of breath, dysphagia,and fever. Diagnosis of esophageal perforation following fish vertebra ingestion was made by history review,pneumomediastinum and an irregular hyperdense lesion noted in initial chest radiogram. Neck computed tomography (CT) confirmed that the foreign body located at the cricopharyngeal level and a small esophageal tracheal fistula was shown by esophagogram. The initial response to treatment of fish bone removal guided by panendoscopy and antibiotics administration was poor since pneumothorax plus empyema developed. Fortunately,the patient's condition finally improved after decortication, mediastinotomy and perforated esophagus repair.To our knowledge, this is the first case report of esophageal perforation due to fish bone ingestion in infancy.In addition to particular caution that has to be taken when feeding the innocent, young victim, it may indicate the importance of surgical intervention for complicated esophageal perforation in infancy.

  17. Intelligent energy demand forecasting

    CERN Document Server

    Hong, Wei-Chiang

    2013-01-01

    This book offers approaches and methods to calculate optimal electric energy allocation, using evolutionary algorithms and intelligent analytical tools to improve the accuracy of demand forecasting. Focuses on improving the drawbacks of existing algorithms.

  18. First results of electric field and density observations by Cluster EFW based on initial months of operation

    Directory of Open Access Journals (Sweden)

    G. Gustafsson

    Full Text Available Highlights are presented from studies of the electric field data from various regions along the Cluster orbit. They all point towards a very high coherence for phenomena recorded on four spacecraft that are separated by a few hundred kilometers for structures over the whole range of apparent frequencies from 1 mHz to 9 kHz. This presents completely new opportunities to study spatial-temporal plasma phenomena from the magnetosphere out to the solar wind. A new probe environment was constructed for the CLUSTER electric field experiment that now produces data of unprecedented quality. Determination of plasma flow in the solar wind is an example of the capability of the instrument.

    Key words. Magnetospheric physics (electric fields – Space plasma physics (electrostatic structures; turbulence

  19. A method to estimate the environmental impact of an electric city car during six months of testing in an Italian city

    Science.gov (United States)

    Donateo, T.; Ingrosso, F.; Licci, F.; Laforgia, D.

    2014-12-01

    The present investigation describes the results of a research project (P.R.I.M.E.) aimed at testing the performance and the environmental impact of an electric city car in Italian cities. The vehicle considered in the project is the Daimler AG Smart ForTwo Electric Drive. A Smart ED vehicle was tested at the University of Salento for six months over different driving conditions (routes, traffic, use of auxiliaries). A data acquisition system has been designed on purpose and assembled on board to provide information about driving cycle and energy flows. The system was also used to evaluate the losses of energy during recharges due to the battery cooling system. The experimental tests were used to identify the average, minimum and maximum consumption of electricity in the Smart ED in Lecce according to driving conditions and in particular according to the usage of auxiliaries. The measured data of electric consumption have been used to quantify the emissions of CO2 and pollution of the vehicle using information about the Italian electricity production mix of each recharging event and the emissions factors of the Italian power plants with an innovative and comprehensive methodology.

  20. Impact of solar energy a peak electricity demand in Brazil; Impacto da energia solar sobre o pico de demanda de energia de Chuveiros eletricos de familias de baixa renda no Brasil

    Energy Technology Data Exchange (ETDEWEB)

    Colle, S.; Abreu, S. L.; Salazar, J. P. L.; Reguse, W.

    2004-07-01

    A particular characteristic of the electricity consumption in Brazil is the widespread use of electric shower heads and the resulting peak electricity demand between 18h and 21h. Studies have shown that electric shower heads represent approximately 23% of a households energy demand. Electric shower heads are very cheap, usual prices lie under US$30, have a nominal power between 4kW and 8kW and are very efficient, around 95% in terms of energy conversion. Utility companies in Brazil are obliged by law to supply electricity to low income consumers. However, the associated costs are highly affected by the power of the electric shower heads, making investments in almost all cases economically unviable. In order to study the effect of compact solar domestic hot water systems on the peak demand of the electric shower heads, a group of 60 users with solar water heating systems, as well as a group of other 30 users without solar heater are monitored and investigated. The preliminary results are reported here. (Author)

  1. Energy indicators for electricity production : comparing technologies and the nature of the indicators Energy Payback Ratio (EPR), Net Energy Ratio (NER) and Cumulative Energy Demand (CED). [Oestfoldforskning AS

    Energy Technology Data Exchange (ETDEWEB)

    Raadal, Hanne Lerche [Ostfold research, Fredrikstad (Norway); Modahl, Ingunn Saur [Ostfold research, Fredrikstad (Norway); Bakken, Tor Haakon [SINTEF Energy, Trondheim (Norway)

    2012-11-01

    Energy Demand (CED) were chosen to be reviewed and to benchmark technologies for production of electricity. In this report, generic definitions of the different energy indicators are used, making them applicable to different energy products (fuels, heat and electricity). The discussion and conclusions are also made as general as possible when the indicators are compared. In the benchmarking exercise the energy product under study is electricity.Conclusions - Comparing technologies. Hydropower clearly achieves the best energy performance according to the indicators EPR, NER and CED. Wind power achieves the second best performance while thermal power generation technologies based on biomass and fossil fuels give the lowest energy performance. There are large variations between the analysed technologies regarding the amount of primary energy needed to produce 1 kWh of electricity.The sources of primary energy used for producing electricity vary between the technologies. Electricity from hydropower, in particular, has a very high share of renewable energy as the primary source, while also wind power and bio-energy have high shares of renewables. The main energy sources required for producing electricity from coal and natural gas are fossil based.The study shows that second life cycle hydropower plants (which means upgrading and extension of old, existing plants) can have extremely high energy efficiency, measured by EPR. (Such plants are not shown in the figures in the summary, but are part of the results). For hydropower, the losses in waterways, turbines, generators and transformers are crucial for the ranking of cases when considering the whole life cycle (NER and CED). In general, this study gives no indication whether 'large' hydropower installations are more energy efficient than smaller installations, or whether reservoir hydropower plants are more energy efficient than run-of-river plants. Conclusions - Comparing indicators: The main reason for the

  2. Demand curves of electric energy in domestic sector in two regions of Mexico; Curvas de demanda de energia electrica en sector domestico de dos regiones de Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Maqueda Zamora, Martin Roberto; Sanchez Viveros, Luis Agustin [Instituto de Investigaciones Electricas, Cuernavaca, Morelos (Mexico)

    2011-07-01

    In this work, is presented the analysis of residential consumption, regarding the temperature of two areas and types of electrical appliances. A shape characteristic of the load of the electrical energy is obtained for two geographical areas in Mexico. The consumption information was obtained from measurements in residential consumers and from the Mexican Utility. It is also shown the demand profile of the main residential appliances, obtained from smart metering equipment to separate the residential users' load profiles. It is shown the effect of the different variables analyzed on the electrical power consumption, mainly the type of equipment, the geographical localization, the weather (temperature, humidity and vegetation type). With the results attained, the definition of effective energy-saving programs and its effectiveness can be obtained. [Spanish] En este trabajo se presenta el analisis del consumo residencial considerando la temperatura de las dos areas y tipos de aparatos electricos. Se obtiene una forma caracteristica de la carga de energia electrica de dos areas geograficas de Mexico. La informacion sobre el consumo se obtuvo de mediciones en consumidores residenciales y de una empresa electrica mexicana. Tambien se muestra el perfil de demanda de los principales aparatos residenciales, derivado de equipos de medicion inteligentes para separar los perfiles de carga de usuarios residenciales. Se muestra el efecto de diferentes variables analizadas en el consumo de energia electrica, principalmente el tipo de equipo, la localizacion geografica, el clima (temperatura, humedad y tipo de vegetacion). Con los resultados alcanzados pueden definirse programas de ahorro de energia efectivos y lograr implantarlos.

  3. 基于电力需求侧管理平台的电力管理信息化%Power Management Platform Informatization Based on Power Electricity Demand Side

    Institute of Scientific and Technical Information of China (English)

    董春泉; 段飞; 匡晔; 宋哲

    2015-01-01

    从用户和开发者的角度介绍电力需求侧管理平台建设对于企业和电力部门产生的价值,以指导企业有效使用平台;并从实际使用的层面体现电力需求侧管理平台的实际应用效益,进一步推广电力需求侧管理平台建设。%The article introduces power electricity demand side management platform construction’s value to enterprises and power departments from the perspectives of customers and developers, which instructs enterprises to use platform effectively and reflects power electricity demand side management platform practical application effect from actual usage perspective to further promote power electricity demand side management platform construction.

  4. Key factors that influence the demand and the consumption of electric power in solar home systems; Principais fatores que influenciam a demanda e o consumo de energia eletrica em sistemas fotovoltaicos domiciliares

    Energy Technology Data Exchange (ETDEWEB)

    Morante, Federico; Zilles, Roberto [Universidade de Sao Paulo (USP), SP (Brazil). Programa Interunidades de Pos Graduacao em Energia. Lab. de Sistemas Fotovoltaicos], e-mail: fmorante@iee.usp.br, e-mail: zilles@iee.usp.br

    2004-07-01

    From the results obtained with a field research looking for to understanding the behavior of the electric energy demand in Solar Home Systems, the aleatory influence factors in the demand was identified These can be contained in technical, management, psychological, geographical, demographic, socio cultural and economic factors. The purpose of this paper is to describe each of them and, simultaneously, present some registration discover with the field work. The survey involved 178 people and 13 rural communities located in the States of Sao Paulo, Pernambuco and Amazonas and, besides, in the Puno area, in Peru. Ten of those communities are electrified with photovoltaic systems and three with the conventional electric grid. (author)

  5. A randomised controlled trial of integrated electrical stimulation and physiotherapy to improve mobility for people less than 6 months post stroke.

    Science.gov (United States)

    Wilkinson, Ingrid A; Burridge, Jane; Strike, Paul; Taylor, Paul

    2014-05-14

    Abstract Purpose: To investigate the feasibility of combining physiotherapy and functional electrical stimulation to improve gait post stroke. Methods: A parallel group partially single-blinded randomised clinical trial. Adults living at home, less than 6 months post stroke, were randomised to Group A (physiotherapy, n = 10) or Group B (physiotherapy and common peroneal nerve stimulation, n = 10). Assessments were conducted before randomisation (Week 1), after intervention (Week 8) and after 12 weeks follow-up (Week 20). Results: No between group differences were observed. There were statistically significant within group differences after the intervention period in both groups for walking speed and distance walked (without stimulation), Rivermead Mobility Index and Canadian Occupational Performance Measure, maintained at Week 20. There was statistically significant improvement in 10-m walking speed (Group B) when the stimulator was used at Week 8 (p = 0.03, median 0.04 m/s (8%)). Only Group B had statistically significant within group change in Rivermead Visual Gait Analysis (Week 8), maintained at Week 20. Conclusions: Integrating electrical stimulation and physiotherapy was feasible and improved walking speed. There was no evidence of a training effect compared with physiotherapy alone. One-hundred forty-four participants per group would produce an adequately powered study based on this protocol. Implications for Rehabilitation At the end of the intervention period participants using electrical stimulation to correct dropped foot walked faster. It was feasible for electrical stimulation to be combined with physiotherapy for people less than 6 months post stroke. A larger adequately powered study is required to establish whether there are training effects associated with use of stimulation in this population.

  6. The effects of exercise and neuromuscular electrical stimulation in subjects with knee osteoarthritis: a 3-month follow-up study

    Directory of Open Access Journals (Sweden)

    Laufer Y

    2014-07-01

    Full Text Available Yocheved Laufer,1 Haim Shtraker,2 Michal Elboim Gabyzon1 1Physical Therapy Department, Faculty of Social Welfare and Health Sciences, University of Haifa, Israel; 2Department Orthopaedics A and Pediatric Orthopaedics, Western Galilee Medical Center, Nahariya, Israel Background: Strengthening exercises of the quadriceps femoris muscle (QFM are beneficial for patients with knee osteoarthritis (OA. Studies reporting short-term effects of neuromuscular electrical stimulation (NMES of the QFM in this population support the use of this modality as an adjunct treatment. The objectives of this follow-up study are to compare the effects of an exercise program with and without NMES of the QFM on pain, functional performance, and muscle strength immediately posttreatment and 12 weeks after completion of the intervention.Methods: Sixty-three participants with knee OA were randomly assigned into two groups receiving 12 biweekly treatments: An exercise-only program or an exercise program combined with NMES.Results: A significantly greater reduction in knee pain was observed immediately after treatment in the NMES group, which was maintained 12 weeks postintervention in both groups. Although at this stage NMES had no additive effect, both groups demonstrated an immediate increase in muscle strength and in functional abilities, with no differences between groups. Although the improvements in gait velocity and in self-report functional ability were maintained at the follow-up session, the noted improvements in muscle strength, time to up and go, and stair negotiation were not maintained. Conclusion: Supplementing an exercise program with NMES to the QFM increased pain modulation immediately after treatment in patients with knee OA. Maintenance of the positive posttreatment effects during a 12-week period was observed only for pain, self-reported functional ability, and walk velocity, with no difference between groups. Clinical rehabilitation effect: The effects

  7. Evaluation of the Electrically Evoked Action Potential Threshold Changes in Three Months after Receiving the Device in Children with Cochlear Implant

    Directory of Open Access Journals (Sweden)

    Alireza Pourjavid

    2009-12-01

    Full Text Available Background and Aim: In neural response telemetry (NRT, intracochlear electrodes stimulate the auditory nerve and record the neural responses. The electrical stimulation send to the auditory nerve by an electrode and the resulted response, called electrically evoked compound action potential (ECAP, is recorded by an adjacent electrode. The most important clinical applications of this test are evaluation and monitoring the intra and postoperative responses of auditory nerve and help to primary setting of speech processor. The aim of this study was evaluating of the potential's threshold changes in three monthes after receiving the devise in pediatric cochlear implant recipients.Materials and Methods: This longitudinal study evaluated the potential's threshold in four given electrodes in four sessions after receiving the device by approximately one months intervals in children implanted in Amir Alam and Hazrat-e-Rasoul hospitals in 2007, July to December.Results: ECAP mean threshold level of each electrode did not significantly change in differnent sessions, while there was significant difference between apical and basal electrodes’ responses in every session(p<0.001.Conclusion: The reliabiliy of the responses result in more certainty of clinician to fit the speech processor for a long time. Better responses in apical electrodes may lead to develope an effective coding strategy.

  8. Energy indicators for electricity production : comparing technologies and the nature of the indicators Energy Payback Ratio (EPR), Net Energy Ratio (NER) and Cumulative Energy Demand (CED). [Oestfoldforskning AS

    Energy Technology Data Exchange (ETDEWEB)

    Raadal, Hanne Lerche [Ostfold research, Fredrikstad (Norway); Modahl, Ingunn Saur [Ostfold research, Fredrikstad (Norway); Bakken, Tor Haakon [SINTEF Energy, Trondheim (Norway)

    2012-11-01

    Energy Demand (CED) were chosen to be reviewed and to benchmark technologies for production of electricity. In this report, generic definitions of the different energy indicators are used, making them applicable to different energy products (fuels, heat and electricity). The discussion and conclusions are also made as general as possible when the indicators are compared. In the benchmarking exercise the energy product under study is electricity.Conclusions - Comparing technologies. Hydropower clearly achieves the best energy performance according to the indicators EPR, NER and CED. Wind power achieves the second best performance while thermal power generation technologies based on biomass and fossil fuels give the lowest energy performance. There are large variations between the analysed technologies regarding the amount of primary energy needed to produce 1 kWh of electricity.The sources of primary energy used for producing electricity vary between the technologies. Electricity from hydropower, in particular, has a very high share of renewable energy as the primary source, while also wind power and bio-energy have high shares of renewables. The main energy sources required for producing electricity from coal and natural gas are fossil based.The study shows that second life cycle hydropower plants (which means upgrading and extension of old, existing plants) can have extremely high energy efficiency, measured by EPR. (Such plants are not shown in the figures in the summary, but are part of the results). For hydropower, the losses in waterways, turbines, generators and transformers are crucial for the ranking of cases when considering the whole life cycle (NER and CED). In general, this study gives no indication whether 'large' hydropower installations are more energy efficient than smaller installations, or whether reservoir hydropower plants are more energy efficient than run-of-river plants. Conclusions - Comparing indicators: The main reason for the

  9. Electrical Responses and Spontaneous Activity of Human iPS-Derived Neuronal Networks Characterized for 3-month Culture with 4096-Electrode Arrays.

    Science.gov (United States)

    Amin, Hayder; Maccione, Alessandro; Marinaro, Federica; Zordan, Stefano; Nieus, Thierry; Berdondini, Luca

    2016-01-01

    The recent availability of human induced pluripotent stem cells (hiPSCs) holds great promise as a novel source of human-derived neurons for cell and tissue therapies as well as for in vitro drug screenings that might replace the use of animal models. However, there is still a considerable lack of knowledge on the functional properties of hiPSC-derived neuronal networks, thus limiting their application. Here, upon optimization of cell culture protocols, we demonstrate that both spontaneous and evoked electrical spiking activities of these networks can be characterized on-chip by taking advantage of the resolution provided by CMOS multielectrode arrays (CMOS-MEAs). These devices feature a large and closely-spaced array of 4096 simultaneously recording electrodes and multi-site on-chip electrical stimulation. Our results show that networks of human-derived neurons can respond to electrical stimulation with a physiological repertoire of spike waveforms after 3 months of cell culture, a period of time during which the network undergoes the expression of developing patterns of spontaneous spiking activity. To achieve this, we have investigated the impact on the network formation and on the emerging network-wide functional properties induced by different biochemical substrates, i.e., poly-dl-ornithine (PDLO), poly-l-ornithine (PLO), and polyethylenimine (PEI), that were used as adhesion promoters for the cell culture. Interestingly, we found that neuronal networks grown on PDLO coated substrates show significantly higher spontaneous firing activity, reliable responses to low-frequency electrical stimuli, and an appropriate level of PSD-95 that may denote a physiological neuronal maturation profile and synapse stabilization. However, our results also suggest that even 3-month culture might not be sufficient for human-derived neuronal network maturation. Taken together, our results highlight the tight relationship existing between substrate coatings and emerging network

  10. Energy Demand

    NARCIS (Netherlands)

    Stehfest, E. et al.

    2014-01-01

    Key policy issues – How will energy demand evolve particularly in emerging and medium- and low- income economies? – What is the mix of end-use energy carriers to meet future energy demand? – How can energy efficiency contribute to reducing the growth rate of energy demand and mitigate pressures on t

  11. A methodology for extracting knowledge rules from artificial neural networks applied to forecast demand for electric power; Uma metodologia para extracao de regras de conhecimento a partir de redes neurais artificiais aplicadas para previsao de demanda por energia eletrica

    Energy Technology Data Exchange (ETDEWEB)

    Steinmetz, Tarcisio; Souza, Glauber; Ferreira, Sandro; Santos, Jose V. Canto dos; Valiati, Joao [Universidade do Vale do Rio dos Sinos (PIPCA/UNISINOS), Sao Leopoldo, RS (Brazil). Programa de Pos-Graduacao em Computacao Aplicada], Emails: trsteinmetz@unisinos.br, gsouza@unisinos.br, sferreira, jvcanto@unisinos.br, jfvaliati@unisinos.br

    2009-07-01

    We present a methodology for the extraction of rules from Artificial Neural Networks (ANN) trained to forecast the electric load demand. The rules have the ability to express the knowledge regarding the behavior of load demand acquired by the ANN during the training process. The rules are presented to the user in an easy to read format, such as IF premise THEN consequence. Where premise relates to the input data submitted to the ANN (mapped as fuzzy sets), and consequence appears as a linear equation describing the output to be presented by the ANN, should the premise part holds true. Experimentation demonstrates the method's capacity for acquiring and presenting high quality rules from neural networks trained to forecast electric load demand for several amounts of time in the future. (author)

  12. 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)

  13. Automated Demand Response and Commissioning

    Energy Technology Data Exchange (ETDEWEB)

    Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

    2005-04-01

    This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

  14. Reduction of the heat demand of cabins of electric-powered vehicles by means of an alternative glass technology; Reduzierung des Heizbedarfs von Elektrofahrzeugkabinen durch alternative Scheibentechnik

    Energy Technology Data Exchange (ETDEWEB)

    Lorenz, Manuel; Spinnler, Markus; Sattelmayer, Thomas [Technische Univ. Muenchen (Germany). Lehrstuhl fuer Thermodynamik

    2012-11-01

    Cruising range is a key factor in market penetration of electric vehicles (EVs) for the near future. Today, EVs achieve acceptable cruising range only through heavy and expensive batteries. Air-conditioning - and in temperate zones especially heating - of the passenger cabin are significant auxiliary loads that can reduce range substantially. At low ambient temperatures the necessary heating power can exceed the average drive power, thus reducing range by over 50%. This study, carried out in cooperation with AUDI AG under the BMBF research project ''e performance'' addresses measures that can potentially lead to a reduced heating demand. In addition to the rather poor insulation of today's vehicles, ventilation losses have been identified as a source of heating and defrosting load of up to 12kW in wintry conditions. At low ambient temperatures a high rate of air exchange is required to keep the humidity level low enough to avoid window fogging. Due to poor window insulation and high exterior heat transfer for a moving vehicle, temperatures at the inside surface of glass windows lie only slightly above the ambient temperature. Improving window insulation leads not only to reduced heat losses but also to higher allowable air humidity before condensation occurs, since the interior window surface is warmer. The air exchange rate can then be minimized as long as air quality standards remain satisfied. In this study steady-state air and window surface temperatures as well as humidity distributions in the cabin are determined by CFD-simulation of the interior flow-field. Window materials such as polycarbonate and double-pane glass are compared to glass at partly recirculated and fresh-air flow. (orig.)

  15. Household fuel demand analysis

    Energy Technology Data Exchange (ETDEWEB)

    Cohn, S.; Hirst, E.; Jackson, J.

    1976-01-01

    This study develops econometric models of residential demands for electricity, natural gas, and petroleum products. Fuel demands per household are estimated as functions of fuel prices, per capita income, heating degree days, and mean July temperature. Cross-sectional models are developed using a large data base containing observations for each state and year from 1951 through 1974. Long-run own-price elasticities for all three fuels are greater than unity with natural gas showing the greatest sensitivity to own-price changes. Cross-price elasticities are all less than unity except for the elasticity of demand for oil with respect to the price of gas (which is even larger than the own-price elasticity of demand for oil). The models show considerable stabiity with respect to own-price elasticities but much instability with respect to the cross-price and income elasticities.

  16. Research on Forecasting Electricity Demand of the 12th Five-year and 2020%“十二五”及2020年电力需求预测研究

    Institute of Scientific and Technical Information of China (English)

    林卫斌; 陈彬; 俞燕山

    2011-01-01

    It is essential to predict electricity demand in the next ten years for power planning and construction. Considering various factors and mechanisms determining electricity demand of various sectors, this paper divides the total electricity consumption into five parts; resident, agriculture, industry, construction, and service sectors and establishes different demand equations to make predictions for the electricity demand. The results show that the total electricity consumption will grow at an annual rate of 7. 8% during 12th Five-Year-Plan period, which would be more than 6 × 1012 kWh in 2015 while the annual growing rate will be 6. 1% during the 13th Five-Year-Plan period. The total figure will reach nearly 8.2 × 1012kWh in 2020; In the next decade, the electric power consumption per unit output value will gradually decrease. The growth rate of electricity consumption would be lower than that of GDP with the electricity demand elasticity being 0. 84 and 0. 72, respectively. The electricity demand structure would change significantly. By 2020, the resident consumption will account for about 20% of the overall electricity consumption in the society with the proportion for industrial electricity consumption declining from 73% to 63%.%准确地把握未来10年的电力需求走势是做好电力规划、安排电力建设的重要基础.考虑到不同部门电力需求具有不同的决定因素和机制,本文把全社会用电量分为居民生活用电、农业用电、工业用电、建筑业用电和服务业用电等五个部分,构建、拟合不同的电力需求方程,预测电力需求.预测的主要结果是:“十二五”期间全社会用电量年均增长率约为7.8%,2015年用电量超过6万亿kWh,“十三五”期间的年均增长率为6.1%,2020年用电量接近8.2万亿kWh.未来10年,单位产值用电量将逐步下降,电力消费增长率将低于GDP增长率,电力需求弹性分别为0.84和0.72.电力需求

  17. Demand Uncertainty

    DEFF Research Database (Denmark)

    Nguyen, Daniel Xuyen

    This paper presents a model of trade that explains why firms wait to export and why many exporters fail. Firms face uncertain demands that are only realized after the firm enters the destination. The model retools the timing of uncertainty resolution found in productivity heterogeneity models...... in untested destinations. The option to forecast demands causes firms to delay exporting in order to gather more information about foreign demand. Third, since uncertainty is resolved after entry, many firms enter a destination and then exit after learning that they cannot profit. This prediction reconciles...

  18. Climate Action Benefits: Electricity

    Science.gov (United States)

    This page provides background on the relationship between electricity and climate change and describes what the CIRA Electricity analyses cover. It provides links to the subsectors Electricity Demand and Electricity Supply.

  19. 基于模糊C均值聚类的居民用户中期用电需求预测模型%Residents mid-term electricity demand forecasting model based on fuzzy C-means clustering

    Institute of Scientific and Technical Information of China (English)

    蔡秀雯; 杨加生

    2016-01-01

    随着智能电网的加快建设和居民阶梯电价机制的实施,居民用电需求预测变得更加复杂。从现行居民阶梯电价机制下用户动态需求的特征出发,提出了一个新的基于模糊C均值聚类的居民用电需求分类预测模型。通过模糊C均值聚类对某地区居民用电行为进行聚类分析、数据分类,建立基于自组织模糊神经网络的用电需求预测模型,提高了中期用电需求预测精度。%With speeding up of smart grid construction and the implementation of the residents step tariff mechanism,residen⁃tial electricity demand forecasting has become more complicated. From the current residents step tariff mechanism and according to the characteristics of dynamic demand, this paper has proposed a new fuzzy C⁃means clustering based on the classification of resi⁃dential electricity demand forecasting model. By fuzzy C⁃means clustering for residential electricity behavior in order to clustering analysis and data classification,this paper has established electrici⁃ty demand forecasting model based on the self⁃organizing fuzzy neural network ,and has improved the medium⁃term demand fore⁃cast accuracy.

  20. How to Estimate Demand Charge Savings from PV on Commercial Buildings

    Energy Technology Data Exchange (ETDEWEB)

    Gagnon, Pieter J [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Bird, Lori A [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-09-28

    Rooftop photovoltaic (PV) systems are compensated through retail electricity tariffs - and for commercial and industrial customers, these are typically comprised of three components: a fixed monthly charge, energy charges, and demand charges. Of these, PV's ability to reduce demand charges has traditionally been the most difficult to estimate. In this fact sheet we explain the basics of demand charges, and provide a new method that a potential customer or PV developer can use to estimate a range of potential demand charge savings for a proposed PV system. These savings can then be added to other project cash flows, in assessing the project's financial performance.

  1. Demand forecasting

    OpenAIRE

    Gregor, Belčec

    2011-01-01

    Companies operate in an increasingly challenging environment that requires them to continuously improve all areas of the business process. Demand forecasting is one area in manufacturing companies where we can hope to gain great advantages. Improvements in forecasting can result in cost savings throughout the supply chain, improve the reliability of information and the quality of the service for our customers. In the company Danfoss Trata, d. o. o. we did not have a system for demand forecast...

  2. Evaluation of demand for water and electricity for papaya micro sprinkler irrigation system in Paraiba state, Brazil; Avaliacao das demandas de agua e energia eletrica para mamao irrigado por microaspersao no estado da Paraiba

    Energy Technology Data Exchange (ETDEWEB)

    Lopes, Riuzuani Michelle Bezerra Pedrosa; Dantas Neto, Jose; Farias, Soahd Arruda Rached Farias; Azevedo, Carlos Alberto Vieira de [Universidade Federal de Campina Grande (UAEAG/UFCG), PB (Brazil). Centro de Tecnologia e Recursos Naturais. Unidade Academica de Engenharia Agricola], Emails: riuzuani@yahoo.com.br, zedantas@deag.ufcg.edu.br, soahd_rached@hotmail.com, cazevedo@deag.ufcg.edu.br

    2010-07-01

    This study aimed to conduct an assessment on the demands for water and electricity for fruit irrigated by micro sprinkler irrigation in agricultural planning. We obtained the demands of gross water and electricity for papaya in 15 municipalities spread over the Rio Paraiba-PB, which was used by micro irrigation system with 90% application efficiency. The city of Joao Pessoa is the place to lower water consumption, requiring 32.9% of the amount required for papaya in Exile, which had the highest annual and daily evapotranspiration, combined with the lowest annual rainfall likely at a 75 % probability. The municipalities were chosen because they had a greater variance in terms of climate, in order to examine various irrigation demands. In Exile is a necessary volume of water-to 8.006,9 m{sup 3}.ha{sup -1}.year{sup -1} to produce one hectare of papaya while in Joao Pessoa need to 2.712,89 m{sup 3}.ha-1.year{sup -1}. The consumption of electricity in the city of Desterro is higher among the cities studied, necessitating 2.009,0 kW.ha{sup -1}.ano{sup -1} to produce one hectare of papaya, while in Joao Pessoa we only need 876,54 kW.ha {sup -1}.ano{sup -1} (author)

  3. Forecasting electricity usage using univariate time series models

    Science.gov (United States)

    Hock-Eam, Lim; Chee-Yin, Yip

    2014-12-01

    Electricity is one of the important energy sources. A sufficient supply of electricity is vital to support a country's development and growth. Due to the changing of socio-economic characteristics, increasing competition and deregulation of electricity supply industry, the electricity demand forecasting is even more important than before. It is imperative to evaluate and compare the predictive performance of various forecasting methods. This will provide further insights on the weakness and strengths of each method. In literature, there are mixed evidences on the best forecasting methods of electricity demand. This paper aims to compare the predictive performance of univariate time series models for forecasting the electricity demand using a monthly data of maximum electricity load in Malaysia from January 2003 to December 2013. Results reveal that the Box-Jenkins method produces the best out-of-sample predictive performance. On the other hand, Holt-Winters exponential smoothing method is a good forecasting method for in-sample predictive performance.

  4. 安徽省废弃电子电器产品回收网点建设需求预测分析%Anhui Waste Electrical and Electronic Product Recycling Network Construction Demand Forecasting Analysis

    Institute of Scientific and Technical Information of China (English)

    于蕾

    2014-01-01

    Based on the population projections,Anhui,Anhui amount of waste products recycling electrical and electronic products and electrical and electronic waste produced in Anhui Province and processing capabilities forecast demand forecast study electrical and electronic products recycling outlets Anhui abandoned building demand forecasting,order Anhui Province to establish waste electrical and electronic recycling centers to reference.%文中通过对安徽省人口预测、安徽省废弃电子电器产品的产品回收量和安徽省废弃电子电器产生量预测及处理能力需求预测,探讨了安徽省废弃电子电器产品回收网点建设需求预测,以期对安徽省废旧电子电器回收处理中心的建立起到参考作用。

  5. 需求不确定时电力最优价格上限管制分析%Optimal Price Cap Regulation under Demand Uncertainty in Electricity Market

    Institute of Scientific and Technical Information of China (English)

    邹建平; 张信; 王恩琦; 李娜; 曾鸣

    2012-01-01

    In order to study the optimal price cap under demand uncertainty in electricity market, the demand fluctuation is simulated by the geometric Brownian motion equation and a continuous time model with stochastic demand is established to analyze generators' optimal investment strategy in terms of real option theory. The results show that the optimal price cap under demand uncertainty is still investment marginal price in competitive market;the optimal cap price depends on the demand fluctuation and risk rate.%采用随机需求下的连续时间模型,基于实物期权理论,运用几何布朗运动方程模拟了需求波动,分析了发电方最优投资策略,探讨了在需求不确定条件下电力价格最优上限管制问题.结果表明,需求不确定条件下最优价格上限依然为竞争性条件下的投资边际价格,最优上限价格取决于需求波动和风险率.

  6. Demand, Energy, and Power Factor

    Science.gov (United States)

    1994-08-01

    demand, but first, let’s talk some more about why electrical demand charges occur. Electric Load Leveling: 5 ** show flip chart of daily utility load (see...and cost savings for energy are available as a result of lowering demand. 3 ’~ show flip chart of block structure (see copy at end of script) Shown... flip chart (see copy at end of script) This is a graphical representation of real, apparent and reactive power in3 an AC circuit. Real power is the power

  7. Demanding Satisfaction

    Science.gov (United States)

    Oguntoyinbo, Lekan

    2010-01-01

    It was the kind of crisis most universities dread. In November 2006, a group of minority student leaders at Indiana University-Purdue University Indianapolis (IUPUI) threatened to sue the university if administrators did not heed demands that included providing more funding for multicultural student groups. This article discusses how this threat…

  8. A method to organize the charging of electric vehicle based on demand analysis%一种基于需求分析的电动汽车有序充电实施架构

    Institute of Scientific and Technical Information of China (English)

    张明霞; 田立亭

    2013-01-01

      公共电网如何消纳大量电动汽车充电负荷的接入,为电动汽车提供便捷可靠的能源补给,是电动汽车电能供给面临的重要问题之一。由于电动汽车充电负荷具有一定的积聚效应,对电网特别是供电终端配电网的运行会带来多方面的影响。引导电动汽车用户有序充电,对充电负荷进行有效管理是趋利避害的必要措施。对电动汽车充电需求的构成要素,以及影响电动汽车充电需求的关键因素进行了分析。提出了一种从充电负荷配置和充电需求引导两方面展开的电动汽车有序充电实施方案。结合电动汽车充电基础设施的不同设置模式,引入虚拟充电单元作为电网侧负荷配置的基本单位,建立了从电网优化运行到电动汽车充电终端的分层分布实施架构。%With the use of electric vehicles put into practice progressively, one primary problem that how the grid responds to the introduction of mass charging load of EV has drawn more and more attention. Due to the aggregation of charging load, random introduction of electric vehicle charging load may result in various effects on power grid especially distribution network of the power supply terminal. The composition of electric vehicles charging demand and the key influencing factors are analyzed firstly. In consideration of different power energy supply modes, the critical factors which affect electric vehicle charging demand is discussed too. Based on charging load management and charging demand, a method to carry out organized charging of electric vehicle is proposed. Combined with different setting modes of electric vehicles charging infrastructures, taking the virtual charging unit as one control cell of load configuration at power grid side, the hierarchical distribution implementation framework from power grid optimization operation to electric vehicles charging terminal is established.

  9. Promotion of direct marketing and supply on demand of electric power from renewable energy sources. Final report; Foerderung der Direktvermarktung und der bedarfsgerechten Einspeisung von Strom aus Erneuerbaren Energien. Endbericht

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-06-23

    The study investigates the promotion of direct marketing and supply on demand of electric power from renewable energy sources in Germany. the study shows that renewable energy sources are a good option for facing the challenges of the future. However, the potential is often left unused because of a lack of incentives in the current pricing system. To solve this problem, the Federal Ministry of the Environment, Nature Conservation and Nuclear Safety authorized two studies that are to enable or improve the utilization of the integration potentials of the renewable energy sources. Two model proposals based on these studies are presented here. The model proposing a bonus for combined-cycle power plants is to ensure supply on demand of electric power from renewables with the aid of integrated power storage systems. However, it is found that this model will not generate significant effects for power supply on demand. The second model proposes financial incentives; it will work well for renewable power supply systems that can be controlled, e.g. bioenergy, run-of-river power plants with power storage, and biogas plants. On the other hand, supply-dependent technologies like wind power, photovoltaic power, run-of-river power plants without power storage, and geothermal power plants with very low variable cost, the goal is not fully reached. In contrast to the first model, the market incentives model will enhance the integration of renewable energy sources in the competitive market by largely eliminating market risks. (orig./RHM)

  10. An Econometric Analysis of Electricity Demand Response to Price Changes at the Intra-Day Horizon: The Case of Manufacturing Industry in West Denmark

    DEFF Research Database (Denmark)

    Møller, Niels Framroze; Møller Andersen, Frits

    2015-01-01

    already within the same day, we suggest an econometric model for hourly consumption-and price time series. This allows for multi-level seasonality and that information about day-ahead prices does not arrive every hour but every 24th hour (as a vector of 24 prices). We confront the model with data from......The use of renewable energy implies a more variable supply of power. Market effciency may improve if demand can absorb some of this variability by being more flexible, e.g. by responding quickly to changes in the market price of power. To learn about this, in particular, whether demand responds...

  11. Monthly energy review, January 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    This report presents an overview of recent monthly energy statistics. Major activities covered include production, consumption, trade, stocks, and prices for fossil fuels, electricity, and nuclear energy.

  12. Temperature Effect on Energy Demand

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Young Duk [Korea Energy Economics Institute, Euiwang (Korea)

    1999-03-01

    We provide various estimates of temperature effect for accommodating seasonality in energy demand, particularly natural gas demand. We exploit temperature response and monthly temperature distribution to estimate the temperature effect on natural gas demand. Both local and global smoothed temperature responses are estimated from empirical relationship between hourly temperature and hourly energy consumption data during the sample period (1990 - 1996). Monthly temperature distribution estimates are obtained by kernel density estimation from temperature dispersion within a month. We integrate temperature response and monthly temperature density over all the temperatures in the sample period to estimate temperature effect on energy demand. Then, estimates of temperature effect are compared between global and local smoothing methods. (author). 15 refs., 14 figs., 2 tabs.

  13. Preseismic oscillating electric field "strange attractor like" precursor, of T = 6 months, triggered by Ssa tidal wave. Application on large (Ms > 6.0R) EQs in Greece (October 1st, 2006 - December 2nd, 2008)

    CERN Document Server

    Thanassoulas, C; Verveniotis, G; Zymaris, N

    2009-01-01

    In this work the preseismic "strange attractor like" precursor is studied, in the domain of the Earth's oscillating electric field for T = 6 months. It is assumed that the specific oscillating electric field is generated by the corresponding lithospheric oscillation, triggered by the Ssa tidal wave of the same wave length (6 months) under excess strain load conditions met in the focal area of a future large earthquake. The analysis of the recorded Earth's oscillating electric field by the two distant monitoring sites of PYR and HIO and for a period of time of 26 months (October 1st, 2006 - December 2nd, 2008) suggests that the specific precursor can successfully resolve the predictive time window in terms of months and for a "swarm" of large EQs (Ms > 6.0R), in contrast to the resolution obtained by the use of electric fields of shorter (T = 1, 14 days, single EQ identification) wave length. More over, the fractal character of the "strange attractor like" precursor in the frequency domain is pointed out. Fina...

  14. Research on development of electric power demand side response%电力需求侧响应发展研究综述

    Institute of Scientific and Technical Information of China (English)

    伍伟华; 庞建军; 陈广开; 王薪与

    2014-01-01

    Implementation of demand side response (DR) brings many benefits to the energy consumers,the power system and society. Based on the developing status and related researches of demand side response in the domestic and overseas,the present paper discuses different demand response projects existing in the world, summarizes implementation methods of price-based DR and incentive-based DR programs,illustrates the relationship of this two types in the system operation and generation planning and their effect on the system, introduces demand response 2.0 (DR2.0)in U.S, and at last, makes recommendations to the development of demand response in China.%实施电力需求侧响应(DR)能为用户侧、系统侧和社会带来诸多效益。本文基于国内外的电力需求侧响应(DR)发展现状及相关的研究,对国际上现有的需求侧响应项目进行深入的分类讨论,总结了基于价格和基于激励的需求侧响应项目的实施方法,说明了两类需求侧响应在系统运行与规划时的关系及其对系统的作用,介绍了美国需求侧响应的发展规划(DR2.0)。最后针对我国需求侧响应发展现状提出建议。

  15. Load-shift incentives for household demand response: Evaluation of hourly dynamic pricing and rebate schemes in a wind-based electricity system

    DEFF Research Database (Denmark)

    Katz, Jonas; Møller Andersen, Frits; Morthorst, Poul Erik

    2016-01-01

    under scenarios with large shares of wind power in a Danish case study. Our results indicate strategies that could be favourable in ensuring high adoption of products and efficient response by households. We find that simple pricing schemes, though economically less efficient, could become important......Applying a partial equilibrium model of the electricity market we analyse effects of exposing household electricity customers to retail products with variable pricing. Both short-term and long-term effects of exposing customers to hourly spot market prices and a simpler rebate scheme are analysed...

  16. Demand Uncertainty

    DEFF Research Database (Denmark)

    Nguyen, Daniel Xuyen

    This paper presents a model of trade that explains why firms wait to export and why many exporters fail. Firms face uncertain demands that are only realized after the firm enters the destination. The model retools the timing of uncertainty resolution found in productivity heterogeneity models...... the high rate of exit seen in the first years of exporting. Finally, when faced with multiple countries in which to export, some firms will choose to sequentially export in order to slowly learn more about its chances for success in untested markets....

  17. Assessment of electricity demand-supply in health facilities in resource-constrained settings : optimization and evaluation of energy systems for a case in Rwanda

    NARCIS (Netherlands)

    Palacios, S.G.

    2015-01-01

    In health facilities in resource-constrained settings, a lack of access to sustainable and reliable electricity can result on a sub-optimal delivery of healthcare services, as they do not have lighting for medical procedures and power to run essential equipment and devices to treat their patients. C

  18. Assessment of electricity demand-supply in health facilities in resource-constrained settings : optimization and evaluation of energy systems for a case in Rwanda

    NARCIS (Netherlands)

    Palacios, S.G.

    2015-01-01

    In health facilities in resource-constrained settings, a lack of access to sustainable and reliable electricity can result on a sub-optimal delivery of healthcare services, as they do not have lighting for medical procedures and power to run essential equipment and devices to treat their patients.

  19. Poplar demand.

    OpenAIRE

    Holton, W. C.

    1998-01-01

    Trichloroethylene (TCE) is a common industrial solvent that poses a particular pollution problem in groundwater; while TCE disappears from surface water within a few weeks, groundwater contamination can take months or years to degrade. Humans have not conclusively been shown to develop cancer in response to TCE exposure, but rats and mice exposed to TCE have an increased incidence of liver and lung cancers.

  20. 电力需求侧响应利益联动机制的系统动力学模拟%Simulating the electric demand response profit linkage mechanism by system dynamics

    Institute of Scientific and Technical Information of China (English)

    王建军; 李莉; 谭忠富; 牛东晓

    2011-01-01

    Because implementing demand response in China is not conductive for the electric power supply company to recover their costs, it is necessary to establish a profit linkage mechanism for linking the electric power generators' profits and electric power supply companies' loss. This will greatly promote the enthusiasm of electric power supply company. A system dynamics model is established to simulate the effects of this profit linkage mechanism on the whole electric power system. The simulating system divided the demand response profit chain into customer subsystem, electric power grid subsystem and electric power generators subsystem. The internal and external relationship among the relating factors was researched by modeling layer by layer. The simulation results show that if the profit linkage mechanism is designed rationally, demand response will play its largest role, and all the related bodies in the electric power system will be benefited, the electric power generators should also actively support this mechanism, for their negative response will not only hurt other bodies, but also hurt themselves.%考虑到在我国实施需求侧响应可能使得电网企业不能有效回收需求侧响应的成本,且由于发电公司实际上是需求侧响应的最大受益者,因此需要在电网企业和发电公司之间建立一个利益联动机制.运用系统动力学模型模拟发电公司和电网公司联动的行为对电力系统产生的效果,来证明这种利益联动机制存在的必要性.模拟系统将需求侧响应的利益链条分为用户子系统、电网子系统和发电子系统三个部分,通过层层建模剖析了各子系统内部和外部影响因素之间的关系.以某市电网的基础数据为例进行模型,模拟结果表明,如果设计合理,需求侧响应将为整个电力系统带来巨大的效益,而且发电公司应该积极参与到该机制中,因为他们的消极对待不仅会给其它主体带来不利影响,

  1. Puget Sound Area Electric Reliability Plan : Final Environmental Impact Statement.

    Energy Technology Data Exchange (ETDEWEB)

    United States. Bonneville Power Administration.

    1992-04-01

    A specific need exists in the Puget Sound area for balance between east-west transmission capacity and the increasing demand to import power generated east of the Cascades. At certain times of the year, and during certain conditions, there is more demand for power in the Puget Sound area than the transmission system and existing generation can reliably supply. This high demand, called peak demand occurs during the winter months when unusually cold weather increases electricity use for heating. The existing power system can supply enough power if no emergencies occur. However, during emergencies the system will not operate properly. As demand grows, the system becomes more strained. To meet demand, the rate of growth of demand must be reduced or the ability to serve the demand must be increased, or both.

  2. 中国电力需求响应的发展动因与实施手段%The development of China’s electric power demand response and implementation method

    Institute of Scientific and Technical Information of China (English)

    张炳建; 徐杰彦; 宋杰; 杨永标; 王余生; 李卫良

    2013-01-01

    Based on the classical theory of power demand re-sponse, the article analyzes the nature of electric power demand re-sponse concept, development motivation and implementation meth-od. It points out the essential target of demand response which is to mobilize the user participation and improve response ability. At pres-ent the development motivation is to reduce the peak load and im-prove user response ability on power grid fluctuation and put forward three kinds of implementation methods such as the price guidance, incentive compensation and administrative coordination.%  在阐释经典电力需求响应理论基础上,分析了电力需求响应的概念本质、发展动因和实施手段。指出需求响应的本质目标是调动用户参与以及提高响应能力,在现阶段其发展动因着眼于降低尖峰负荷与提高用户响应电网波动能力,并提出价格引导、激励补偿、行政协调3种实施手段。

  3. Determining the Optimal Capacities of Renewable-Energy-Based Energy Conversion Systems for Meeting the Demands of Low-Energy District Heating, Electricity, and District Cooling

    DEFF Research Database (Denmark)

    Tol, Hakan; Svendsen, Svend; Dincer, Ibrahim

    2015-01-01

    This chapter presents a method for determining the optimal capacity of a renewable-energy-based energy conversion system for meeting the energy requirements of a given district as considered on a monthly basis, with use of a low-energy district heating system operating at a low temperature, as lo...

  4. Demand Response Spinning Reserve Demonstration

    Energy Technology Data Exchange (ETDEWEB)

    Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

    2007-05-01

    The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

  5. Projection of primary energy in electricity generation with evaluation of demand and supply of energy in the medium-term horizon (2020), long-term (2035) and very long term (2060); Projecao das energias primarias na geracao de eletricidade com avaliacao da demanda e oferta de energia, em horizonte de medio prazo (2020), longo prazo (2035) e muito longo prazo (2060)

    Energy Technology Data Exchange (ETDEWEB)

    Mafra, Olga Y.; Alvim, Carlos Feu; Eidelman, Frida [Brasil e Economia (Brazil); Guimaraes, Leonam dos Santos [Eletrobras Eletronuclear, Rio de Janeiro, RJ (Brazil)

    2013-01-15

    The Global Energy demand and the participation of electricity in scenarios of medium (2020), long (2035) and very long (2060) terms are estimated. It is also evaluated the share of different primary energies in electricity generation and their availability in the country. Three economic scenarios were considered and different hypothesis regarding the participation of nuclear energy were analyzed. (author)

  6. 提高月度售电量预测精度的一种新方法%A new method to promote the forecasting accuracy of monthly electricity consumption

    Institute of Scientific and Technical Information of China (English)

    潘小辉; 刘丽萍; 李扬

    2013-01-01

      This paper finds the principles and characters of the development of electricity consumption by making data mining analysis on historical data, and puts forward a new method to fore⁃cast monthly electricity consumption. When forecasting the elec⁃tricity consumption of a month, the new method firstly forecasts the electricity consumption of the season that the month belongs to. Then use the Forecasting values of the season electricity consump⁃tion and season proportion to forecast the monthly electricity con⁃sumption. The new method has been applied to forecast monthly electricity consumption from April of 2005 to December of 2007 in a city of Jiangsu province. With 2.35% average relative error, the results show the validity of the new method.%  通过对地区售电量历史数据的研究分析,挖掘出其发展的规律和特点,并创新性地提出了一种月度售电量预测的新方法。该方法在预测某月售电量时,先预测出该月所在季度的季度售电量,再根据占季比和所在季度的季度售电量的预测值,预测出该月的售电量,若该月处于春节影响期将最后给予修正。利用该预测新方法对江苏某市2005年4月至2007年12月的月度售电量进行了预测,预测的平均相对误差为2.35%,预测精度得到了较大的提高,证明了该预测新方法的准确性和可靠性。

  7. Research on Charging and Discharging Dispatch of Electric Vehicles Based on Demand Side Discharge Bidding%基于需求侧放电竞价的电动汽车充放电调度研究

    Institute of Scientific and Technical Information of China (English)

    潘樟惠; 高赐威; 刘顺桂

    2016-01-01

    1In order to promote electric vehicle development coordinated with power grid, this paper proposed a charging and discharging dispatch model of electric vehicles based on demand side discharge bidding. In day-ahead scheduling, electric company published time periods need to curtail load. According to prediction of electric vehicle users’ behavior characteristics, load aggregator took maximum discharging capacity as goal to predict controllable capacity, and then participated in demand side discharge bidding. Electric company devoted to minimize load dispatching cost based on outputs and biddings of load aggregators. In real-time scheduling, load aggregator was aimed at maximizing its benefit through optimizing charging and discharging dispatch of electric vehicles. It could not only meet electric vehicle charging demand, but also reduce charging cost and dispatching deviation. Simulation result showed that the proposed dispatch model could play a role in peak load shifting. Prediction accuracy analysis could provide guidance for bidding decision of load aggregator.%为促进电动汽车与电网协调发展,提出了一种基于需求侧放电竞价的电动汽车充放电调度模型。在日前调度中,负荷聚合商根据电力公司公布的次日需要削减负荷时段。通过对电动汽车用户行为特性的预测,以最大化电动汽车放电量为目标对可控容量进行预测,并参与需求侧放电竞价。电力公司根据负荷聚合商在各时段的出力和报价,以最小化负荷调度成本为目标优化调度计划。在实时调度中,负荷聚合商以最大化其利益为目标对电动汽车进行充放电调度,使得在满足电动汽车用户充电需求的同时,降低充电成本和调度偏差。算例分析表明,电动汽车通过负荷聚合商参与需求侧放电竞价可以起到削峰填谷的作用,对预测精度的分析可以为负荷聚合商的投标决策提供指导。

  8. 基于电量分析的配网用户用电需求量预测研究%Study of Distribution Network Users Power Consumption Demand Forecasting based on Electricity Analysis

    Institute of Scientific and Technical Information of China (English)

    麦琪

    2016-01-01

    准确预测用户电量需求对于市场竞争环境下的电网公司、工商业、居民用户来说具有重要意义。简单综述了国内外电量预测理论,包括灰色理论、人工神经网络理论等,阐述了GM(1,1)模型和BP模型预测电量需求的原理。详细介绍了电力市场电量需求预测的几种实际经常使用的方法,包括经济模型法、综合分析法、分析预测法及其他方法等。最后,以电力弹性系数法为例,基于广州市2000年~2008年的市用电量历史数据,对其2009年用电量需求进行了预测分析。同时,简要给出了提高电量预测准确率的一些措施,建议将近年来发展的机器学习算法等运用到电量需求预测中,对于“电网-用户-售电商-负荷集成商”等多主体的用电供需友好互动将具有重要的指导和参考意义。%It’s of great significance to accurately predict users’ power demand for the grid corporations, the industry and commerce enterprises and the inhabitant users in market competition environment. A simple review was made on home and abroad power forecasting theory, including grey theory, artificial neural network theory, etc. expounded the power forecasting principle of GM(1, 1) model and BP model. Several actual and regular used methods of electricity market power demand prediction were introduced, including the economic model method, the comprehensive analytical method, the predication parsing method, and other methods. Finally, set the electricity elasticity coefficient method as an example and based on the historical city electricity consumption data of Guangzhou from year of 2000 to 2008, its power demand in 2009 was forecasted. Meanwhile, some measures to improve power prediction accuracy were given, and suggested that the newly developed machine learning algorithms apply in power demand prediction, which will have provide certain guidance and reference for multi-agents supply and

  9. Monthly energy review

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-01

    This document presents an overview of the Energy Information Administration`s (EIA) recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

  10. Monthly Energy Review

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-05-28

    This publication presents an overview of the Energy information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief ``energy plugs`` (reviews of EIA publications) are included, as well.

  11. Visualisation turns down energy demand

    Energy Technology Data Exchange (ETDEWEB)

    Jensen, Ole Michael [Danish Building and Urban Research, Hoersholm (Denmark)

    2003-07-01

    After many energy saving campaigns, Danish families give the impression that they are conscious of energy consumption. Children have learned to turn off the light and adults to buy low-energy bulbs and household appliances. Questioned about their energy consumption and its fluctuations, the same people nevertheless confess to not really knowing. You pay your energy bill but pay no attention to the current consumption, or its level. Unlike other types of consumption, energy consumption is an almost invisible type of consumption. Nevertheless, as a secondary consumption it is much affected by primary consumption in the form of white goods, appliances, cars, food etc., the main purpose of which usually is visibility. This paper presents the result of an experiment to make the energy consumption visible. Meters in the flats showing actual electricity, heat and water consumption confront tenants with the consequences of their own behaviour. The experiment also investigates different set-ups concerning information and communication about energy consumption. Monthly consumption and levels of consumption compared within the neighbourhood are elements of this information. Also quarterly eco-accounting, with key-figures of consumption and environmental considerations like CO{sub 2} emission, are part of the information set-up. Within the first year of visualisation one case shows a 9% reduction of heat and a 22% reduction of electricity. The other cases seem to follow the same tendency. The philosophy of the experiment is that you must know your position in order to change it. You must know about the level of your own energy consumption in order to turn down energy demand. The visible meters are elements in 'Urban Ecological Renewal of a Housing Block' (Hedebygade Block) in a central district of Copenhagen.

  12. 遗传算法的阶梯电价用电需求管理方案%Demand side management strategy on multistep electricity price using Genetic Algo-rithm

    Institute of Scientific and Technical Information of China (English)

    杨曦华; 胡晓敏

    2014-01-01

    用电需求管理是智能电网中的重要部分,能让消费者根据自己的用电量做出合适的决策,帮助供电者减少峰值负载,让负载的时空分布更为均衡,从而增加智能电网的可持续性,并减少运营成本和碳排放量。一种基于负载转移技术的用电需求管理方案可以满足对大量、多种设备的调节需求。用电需求管理的解决方案使用改进的遗传算法,并引入了一个新的算子,模拟测试的结果显示通过改进的算法获得的方案节省了可观的成本,并且在使用阶梯式电价的情况下,减少了智能电网的峰值负载。%Demand side management plays an important role in smart grid business, which allows consumers to choose a suitable electricity consuming strategy according to their demand, lowers the peak load in smart grid, and makes the load curve even. These characteristics lead to a more sustainable, economical smart grid, and a reduction on carbon emission. A demand side management strategy based on a load-shifting technique is proposed, which will be able to manage the demand that comes from large quantities and types of devices. The strategy is carried out with an improved genetic algorithm which imports a new operator. Simulation shows that the resulting strategy generated by the proposed algorithm saves appreciable cost, and reduces the peak load of the smart grid when involving a multistep electricity price.

  13. Monthly energy review, August 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-08-01

    The Monthly Energy Review for the month of August 1997, presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

  14. Economic development, energy demand and electricity necessities in some emergent and industrialized countries; Desarrollo economico, demanda de energia y necesidades de electricidad en algunos paises emergentes e industrializados

    Energy Technology Data Exchange (ETDEWEB)

    Campos A, L. [UNAM, Instituto de Investigaciones Economicas, Circuito Mario de la Cueva, Ciudad Universitaria, 04510 Mexico D. F. (Mexico)

    2009-07-01

    The electricity has become a strategic support for the operation of the societies in its group, because it is being used intensively in the production, transport, communication, administration, science, education and the daily life through the personal computer, for what we can affirm that the electricity is in full expansion. Nevertheless, at the present time more of half of petroleum consumed in the world it is used for the terrestrial, air and marine transport. Many texts have been published in energy that they remind that the success of an industrial society, the growth of their economy, the quality of their inhabitants life and their impact in other societies and in the environment they are largely determined by the quantity and class of energy sources that it exploits and for the effectiveness of their systems to transform the potential energy into work and heat. In this work we observe tendencies in the energy consumption of 21 countries with complete conscience that the energy situation of each one of them depends, in first place, of the availability of its energy resources and its costs, besides its energy politicians, its laws and its maneuver margins. This way, the effect of the interrelations that here are analyzed for the period 1980-2004, is illustrated by means of a comparison of the energy consumption per capita in each one of those 21 countries. The work is very illustrative not alone regarding the inequality in the energy consumption in the world, moreover it mentions that countries are those that have the control of the world energy resources and it detects others that are participating actively in that battle by means of the use of new technologies and equipment s that seek to look for a bigger energy efficiency and to impel low economies in carbon and not based on fossil fuels. (Author)

  15. Monthly errors

    Data.gov (United States)

    U.S. Environmental Protection Agency — The 2006 monthly average statistical metrics for 2m Q (g kg-1) domain-wide for the base and MODIS WRF simulations against MADIS observations. This dataset is...

  16. Development of reader for the demand data from compound demand meter for power supply/demand (CDM). Development of recommended tools for load leveling in existing works; Denryoku jukyuyo fukugo keiki kara no demand data yomitori sochi no kaihatsu. Kisetsu kojo no fuka heijunka suisho tool no kaihatsu

    Energy Technology Data Exchange (ETDEWEB)

    Sakamoto, S. [Kansai Electric Power Co. Inc., Osaka (Japan)

    1997-10-10

    Kansai Electric Power has developed a system which reads the demand data for 30min. stored in the compound demand meter for power supply/demand (CDM), and prints the load curves. It is for customers of high-voltage power of less than 500kW, where load management is less extensive than that in larger users, for initial consulting on improvement of load factor (recommendation of heat storage contracts). It is to be installed on the spot to display the load curves, to allow the expert visiting the site to issue initial proposals immediately. It displays `daily demands by time zone` instead of `monthly power consumption` previously provided, and makes the graph of demands by time zone. It is designed to be compact, light, and easily and safely handled. The field test results indicate that the system can be sufficiently practical with the major performance items. 4 figs., 1 tab.

  17. Proposal for the utilization of neural networks for the forecast of the electric power demand in a distribution system; Propuesta de utilizacion de las redes neuronales para la prediccion de la demanda electrica en un sistema de distribucion

    Energy Technology Data Exchange (ETDEWEB)

    Prado, Pedro O.; Aguero, Carlos A.; Ferreyra, Ruben; Passoni, Lucia Isabel; Clara, Fernando [Universidad Nacional de Mar del Plata, Buenos Aires (Argentina). Facultad de Ingenieria

    1997-12-31

    In this work, the first advances of the investigation project are presented that is developed in the University. The main objective of this project is the recognition of patterns and the definition of models of prediction of the energy demand through the neural networks. Achieved these technical indicators will be possible to analyze, in more complete form, the evolution of a system of electric of distribution. The neural networks is technical not parametric that have demonstrated their aptitude so much in the recognition of patterns as in the recognition of patterns as in the prediction of parameters, in diverse areas. At the moment its use in the field of the energy planning, is still a beginner topic. (author) 12 refs., 5 figs.;poprado at fi.mdp.edu.ar; lpassoni at fi.mdp.edu.ar

  18. Addressing Energy Demand through Demand Response. International Experiences and Practices

    Energy Technology Data Exchange (ETDEWEB)

    Shen, Bo [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ghatikar, Girish [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ni, Chun Chun [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dudley, Junqiao [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Martin, Phil [Enernoc, Inc., Boston, MA (United States); Wikler, Greg

    2012-06-01

    Demand response (DR) is a load management tool which provides a cost-effective alternative to traditional supply-side solutions to address the growing demand during times of peak electrical load. According to the US Department of Energy (DOE), demand response reflects “changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized.” 1 The California Energy Commission (CEC) defines DR as “a reduction in customers’ electricity consumption over a given time interval relative to what would otherwise occur in response to a price signal, other financial incentives, or a reliability signal.” 2 This latter definition is perhaps most reflective of how DR is understood and implemented today in countries such as the US, Canada, and Australia where DR is primarily a dispatchable resource responding to signals from utilities, grid operators, and/or load aggregators (or DR providers).

  19. Demand-Side Energy Management

    NARCIS (Netherlands)

    Molderink, Albert; Iniewski, K.

    2012-01-01

    Concerns about climate change, increasing energy prices and dependability of energy supply ask for drastic changes in the energy supply chain, but also in the current demand-supply philosophy. Current trends in energy consumptions result in an increasing and more fluctuating electricity usage, causi

  20. Demand as Frequency Controlled Reserve

    DEFF Research Database (Denmark)

    Xu, Zhao; Østergaard, Jacob; Togeby, Mikael

    2011-01-01

    Relying on generation side alone is deemed insufficient to fulfill the system balancing needs for future Danish power system, where a 50% wind penetration is outlined by the government for year 2025. This paper investigates using the electricity demand as frequency controlled reserve (DFR) as a new...

  1. The costs of a big brain: extreme encephalization results in higher energetic demand and reduced hypoxia tolerance in weakly electric African fishes.

    Science.gov (United States)

    Sukhum, Kimberley V; Freiler, Megan K; Wang, Robert; Carlson, Bruce A

    2016-12-28

    A large brain can offer several cognitive advantages. However, brain tissue has an especially high metabolic rate. Thus, evolving an enlarged brain requires either a decrease in other energetic requirements, or an increase in overall energy consumption. Previous studies have found conflicting evidence for these hypotheses, leaving the metabolic costs and constraints in the evolution of increased encephalization unclear. Mormyrid electric fishes have extreme encephalization comparable to that of primates. Here, we show that brain size varies widely among mormyrid species, and that there is little evidence for a trade-off with organ size, but instead a correlation between brain size and resting oxygen consumption rate. Additionally, we show that increased brain size correlates with decreased hypoxia tolerance. Our data thus provide a non-mammalian example of extreme encephalization that is accommodated by an increase in overall energy consumption. Previous studies have found energetic trade-offs with variation in brain size in taxa that have not experienced extreme encephalization comparable with that of primates and mormyrids. Therefore, we suggest that energetic trade-offs can only explain the evolution of moderate increases in brain size, and that the energetic requirements of extreme encephalization may necessitate increased overall energy investment.

  2. Electric Vehicle Charging Modeling

    OpenAIRE

    Grahn, Pia

    2014-01-01

    With an electrified passenger transportation fleet, carbon dioxide emissions could be reduced significantly depending on the electric power production mix. Increased electric power consumption due to electric vehicle charging demands of electric vehicle fleets may be met by increased amount of renewable power production in the electrical systems. With electric vehicle fleets in the transportation system there is a need for establishing an electric vehicle charging infrastructure that distribu...

  3. Low-Btu gasification of coal for electric power generation. Phases I, II and III. Monthly progress report, April 1-April 30, 1981

    Energy Technology Data Exchange (ETDEWEB)

    1981-08-16

    Oxygen-enriched operation of the PDU was initiated on April 1, 1981. Eleven oxygen enriched gasmaking tests were made during the month. These tests were interrupted upon eight occasions by slag tap pluggage or imminent pluggage. Direction was received from both contract sponsoring agencies (DOE and EPRI) changing the priority of April's testing from shakedown and parametric oxygen-enriched testing to running a 15 to 20 day sustained operations test. This test was begun during the month, but not successfully completed owing to the tap hole pluggage problems. Iron reduced from the slag due to the low oxygen concentration in this region is the most obvious explanation for the tap hole pluggages.

  4. Optimization Based Data Mining Approah for Forecasting Real-Time Energy Demand

    Energy Technology Data Exchange (ETDEWEB)

    Omitaomu, Olufemi A [ORNL; Li, Xueping [University of Tennessee, Knoxville (UTK); Zhou, Shengchao [University of Tennessee, Knoxville (UTK)

    2015-01-01

    The worldwide concern over environmental degradation, increasing pressure on electric utility companies to meet peak energy demand, and the requirement to avoid purchasing power from the real-time energy market are motivating the utility companies to explore new approaches for forecasting energy demand. Until now, most approaches for forecasting energy demand rely on monthly electrical consumption data. The emergence of smart meters data is changing the data space for electric utility companies, and creating opportunities for utility companies to collect and analyze energy consumption data at a much finer temporal resolution of at least 15-minutes interval. While the data granularity provided by smart meters is important, there are still other challenges in forecasting energy demand; these challenges include lack of information about appliances usage and occupants behavior. Consequently, in this paper, we develop an optimization based data mining approach for forecasting real-time energy demand using smart meters data. The objective of our approach is to develop a robust estimation of energy demand without access to these other building and behavior data. Specifically, the forecasting problem is formulated as a quadratic programming problem and solved using the so-called support vector machine (SVM) technique in an online setting. The parameters of the SVM technique are optimized using simulated annealing approach. The proposed approach is applied to hourly smart meters data for several residential customers over several days.

  5. 基于可靠性需求的电力客户细分和可靠性价值评估方法%Assessment Method for Subdivision of Electric Power Customers and Reliability Value Based on Reliability Demand

    Institute of Scientific and Technical Information of China (English)

    蔡政权; 刘至锋; 管霖; 曾毅豪

    2015-01-01

    从电力用户角度提出可靠性提升的直接经济价值、用户体验价值和社会价值的定义及其计算模型,建立区域供电可靠性需求评估框架,介绍具有较高可靠性价值的7类用户及其特征采集和可靠性价值分类评估算法。针对具有较强主观性的用户体验价值和社会价值的定量评估,提出一种改进层次分析(analytical hierarchy process,AHP)法,并通过区域可靠性需求评价应用实例验证该方法的有效性。该算法既可用于供电企业客观评估不同供电区域的客户供电可靠性需求,也可为实施可靠性电价后的市场需求分析和预测提供技术支撑。%From the point of electric power customers,concepts of direct economic value,customer experience value and so-cial value of reliability promotion and calculation models were proposed,assessment frame for regional power supply reliabil-ity demand was established,in addition,seven kinds customers of higher reliabilities and related characteristic acquisition and assessment algorithm for reliability value classification were introduced.Aiming at quantity assessment on stronger sub-jective customer experience value and social value,a kind of improved analytical hierarchy process(AHP)method was pro-posed and by means of application example of evaluation on regional reliability demand,effectiveness of this method was verified.This algorithm could be applied in objectively assessing customer power supply reliability demands in different pow-er supply areas as well as providing technical support for market demand analysis and prediction after implementing reliabili-ty power price.

  6. Monthly energy review, August 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-08-26

    This publication presents information for the month of August, 1993 on the following: Energy overview; energy consumption; petroleum; natural gas; oil and gas resource development; coal; electricity; nuclear energy; energy prices, and international energy.

  7. Monthly Energy Review, July 1992

    Energy Technology Data Exchange (ETDEWEB)

    None

    1992-07-27

    The Monthly Energy Review is prepared by the Energy Information Administration. Topics discussed include: Energy Overview, Energy Consumption, Petroleum, Natural Gas, Oil and Gas Resource Development, Coal, Electricity, Nuclear Energy, Energy Prices, International Energy. (VC)

  8. Monthly energy review, July 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-07-01

    This document presents an overview of recent monthly energy statistics. Activities covered include: U.S. production, consumption, trade, stock, and prices for petroleum, coal, natural gas, electricity, and nuclear energy.

  9. Monthly energy review, August 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-08-01

    This report presents an overview of recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, coal, natural gas, electricity, and nuclear energy.

  10. Monthly energy review, August 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-08-26

    This publication presents information for the month of August, 1993 on the following: Energy overview; energy consumption; petroleum; natural gas; oil and gas resource development; coal; electricity; nuclear energy; energy prices, and international energy.

  11. Demand Response With Micro-CHP Systems

    NARCIS (Netherlands)

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

    2011-01-01

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

  12. Demand Response With Micro-CHP Systems

    NARCIS (Netherlands)

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

    2011-01-01

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

  13. The capitalist world aggregate supply and demand model for natural uranium

    Energy Technology Data Exchange (ETDEWEB)

    Amavilah, V.H.S. [Arizona Univ., Tucson, AZ (United States). Dept. of Mining and Geological Engineering]|[Ore Body Engineering Ltd., Tucson, AZ (United States)

    1995-07-01

    Seemingly unrelated regression associating U supply and demand to own price, net nuclear electric consumption, generating capacity, competing fuel prices, and electricity prices is postulated. Coal prices are found to influence uranium price significantly. Composite energy prices affect uranium demand via either nuclear electric consumption or nuclear generating capacity. Electricity prices affect uranium demand directly in a negative fashion. (author).

  14. Monthly energy review, March 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-03-29

    The Monthly Energy Review provides information on production, distribution, consumption, prices, imports, and exports for the following US energy sources: petroleum; petroleum products; natural gas; coal; electricity; and nuclear energy. The section on international energy contains data for world crude oil production and consumption, petroleum stocks in OECD countries, and nuclear electricity gross generation.

  15. Monthly energy review, November 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-11-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  16. Monthly energy review: April 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-04-01

    This monthly report presents an overview of energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. A section is also included on international energy. The feature paper which is included each month is entitled ``Energy equipment choices: Fuel costs and other determinants.`` 37 figs., 59 tabs.

  17. Monthly energy review, November 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-11-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 91 tabs.

  18. Monthly energy review, October 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-10-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  19. Monthly energy review, June 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-06-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 36 figs., 61 tabs.

  20. Monthly energy review, May 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-05-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  1. Monthly energy review, January 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-01-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  2. Monthly energy review, February 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-02-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 73 tabs.

  3. Monthly energy review, March 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-03-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 74 tabs.

  4. Monthly Energy Review, February 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-02-26

    This monthly publication presents an overview of EIA`s recent monthly energy statistics, covering the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief descriptions (`energy plugs`) on two EIA publications are presented at the start.

  5. Monthly energy review, November 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-11-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 75 tabs.

  6. Monthly energy review, July 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-07-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs. 73 tabs.

  7. What is the Impact of Utility Demand Charges on a DCFC host

    Energy Technology Data Exchange (ETDEWEB)

    Francfort, James Edward [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-06-01

    The PEV Electric Vehicle Supply Equipment (EVSE) delivered by The EV Project included both AC Level 2 and DCFC units. Over 100 of these dual-port Blink DC fast chargers were deployed by The EV Project. These DCFCs were installed in workplaces and in publicly accessible locations near traffic hubs, retail centers, parking lots, restaurants, and similar locations. The Blink DCFC is capable of charging at power up to 60 kW. Its dual-port design sequences the charge from one port to the other, delivering power to only one of two vehicles connected at a time. The actual power delivered through a port is determined by the PEV’s on-board battery management system (BMS). Both the power and the total energy used to recharge a PEV can represent a significant cost for the charging site host. Many electric utilities impose fees for power demand as part of their commercial rate structure. The demand charge incurred by a customer is related to the peak power used during a monthly billing cycle. This is in contrast to the cumulative total energy usage that is the more familiar utility charge seen for most residential services. A demand charge is typically assessed for the highest average power over any 15 minute interval during the monthly billing cycle. One objective of The EV Project was to identify and elucidate the motivations and barriers to potential DCFC site hosts. The application of electric utility demand charges is one such potential barrier. This subject was introduced in the paper: DC Fast Charge - Demand Charge Reduction1. It discussed demand charge impact in general terms in order to focus on potential mitigation actions. This paper identifies specific cases in order to quantify the impact of demand charges on EV Project DCFC hosts.

  8. China's rising hydropower demand challenges water sector.

    Science.gov (United States)

    Liu, Junguo; Zhao, Dandan; Gerbens-Leenes, P W; Guan, Dabo

    2015-07-09

    Demand for hydropower is increasing, yet the water footprints (WFs) of reservoirs and hydropower, and their contributions to water scarcity, are poorly understood. Here, we calculate reservoir WFs (freshwater that evaporates from reservoirs) and hydropower WFs (the WF of hydroelectricity) in China based on data from 875 representative reservoirs (209 with power plants). In 2010, the reservoir WF totaled 27.9 × 10(9) m(3) (Gm(3)), or 22% of China's total water consumption. Ignoring the reservoir WF seriously underestimates human water appropriation. The reservoir WF associated with industrial, domestic and agricultural WFs caused water scarcity in 6 of the 10 major Chinese river basins from 2 to 12 months annually. The hydropower WF was 6.6 Gm(3) yr(-1) or 3.6 m(3) of water to produce a GJ (10(9) J) of electricity. Hydropower is a water intensive energy carrier. As a response to global climate change, the Chinese government has promoted a further increase in hydropower energy by 70% by 2020 compared to 2012. This energy policy imposes pressure on available freshwater resources and increases water scarcity. The water-energy nexus requires strategic and coordinated implementations of hydropower development among geographical regions, as well as trade-off analysis between rising energy demand and water use sustainability.

  9. Estimación de la demanda en sistemas eléctricos de baja tensión en condiciones de desbalance; Demand Estimate in Electric System of Low Tension in Unbalanced Conditions

    Directory of Open Access Journals (Sweden)

    Davel Borges Vasconcellos

    2011-02-01

    Full Text Available En el trabajo se presentan las consideraciones generales de las asimetrías en los sistemas eléctricos debaja tensión, las causas que la provocan, así como los efectos indeseables que ocasionan. A partir de lasinvestigaciones actuales es posible modelar la asimetría como una componente de potencia no activa.Este concepto aplicado a un método propuesto por los autores para la estimación de la demanda durantela etapa de proyecto de los sistemas, posibilita una mayor exactitud en la determinación de la misma, locual es presentado a manera de ejemplo en una aplicación práctica. In the paper the general considerations of the unbalanced are presented in the electric systems of lowtension, the causes that provoke it, as well as the undesirable effects that cause. Starting from the currentinvestigations it is possible to model the unbalanced like a component of power doesn't activate. Thisconcept applied to a method proposed by the authors for the estimate of the demand during the stage ofproject of the systems, facilitates a bigger accuracy in the determination of the same one, that which ispresented by way of example in a practical application. 

  10. Identification and analysis of demands by nature protection at the supply of electricity and heat from energy crop; Identifikation und Analyse naturschutzseitiger Anforderungen an die Strom- und Waermebereitstellung aus Energieholz

    Energy Technology Data Exchange (ETDEWEB)

    Wirkner, Ronny [Deutsches Biomasseforschungszentrum g GmbH (DBFZ), Leipzig (Germany). Bereich Bioenergiesysteme

    2013-10-01

    The energetic use of biomass is currently a dominating part concerning the use of renewable energies and both federal and country-specific strategies will be continuously expanded in the course. However, energy and environmental policy objectives need viable sustainability requirements (ecological, economic, social), which is not always consistent due partly contradictory approaches. The article ''Identification and analysis of conservation-sided demands on the electricity and heat supply from energy wood'' is primarily devoted to the environmental analysis from the perspective of nature conservation and landscape management (SRC/woody biomass from landscape planning). The focus of the analysis is the amended Renewable Energy Sources Act (EEG 2012), where you can find also in the field of solid fuels new requirements and levels of compensation which increase the attractiveness of selected material flows for the system operator and the resulting consequences for the nature protection and landscape conservation. These arise primarily from a change in the type and intensity of agricultural and forestry land use systems, but also the final form of the energy use of biomass itself. (orig.)

  11. Analysis and Research on the Function Demand of the Prefecture-county Integrated Electricity Measuring System%电能量计量系统地县一体功能需求分析与研究

    Institute of Scientific and Technical Information of China (English)

    巫志平

    2014-01-01

    Electricity metering system is an automation system for the collection and statistics of substation power supply and demand. It not only provides real-time data for the production, operation monitoring and analysis system but also supports massive data for the forefront research on big data management and cloud computing applications. The completed power system consists of energy meter, collector, communication channels and electricity measuring main station system which is the heart of the system. The prefecture-county integrated electricity measuring system is currently promoted in the grid system. The system functional requirements is designed in the operation and maintenance mode of the prefecture-county integrated, including the web browser interface, report generation, data error correction and requirement analysis on the lack of interaction with distribution system.For this, complex needs of data processing can be adapted increasingly while system maintenance workloads can be reduced.%电能量计量系统是用来采集和统计变电站电力电量供需状况的自动化系统,不仅为生产、运营监控分析系统提供实时数据,还可以为正处于前沿研究的大数据管理、云计算应用提供海量数据支撑。完整的电能量系统由电能表、采集器、通信通道、电能量计量主站系统构成,主站系统处于核心地位。目前,电网系统内正推广建设地县一体电量系统。探讨在地县一体运行维护模式下,对系统功能需求进行设计,包括Web界面浏览、报表生成、数据纠错及与营配系统交互功能不足进行需求分析,在减轻系统维护工作量的同时适应日益复杂的数据处理需求。

  12. Demand as frequency controlled reserve

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Z.; Togeby, M.; OEstergaard, J.

    2008-09-15

    Using demand as frequency controlled reserve (DFR) is an emerging technology which allow demand to participate actively in maintaining the system operation without reducing the energy service delivered to the customer and without need of user interaction. The basic premise is that traditional frequency controlled reserves from power plants and interconnections with neighbouring systems can be costly, slow and not fulfil the need for future power grids with a high share of wind power and fewer central power plants, and an intention to perform flexible operation such as is landing. Electricity demands, on the other hand, have advantages as frequency reserve including fast activation speed, smooth linear activation, low expected costs, and well-dispersed in the distribution grid. The main challenge of DFR is new methods for monitoring the available capacity. This project has investigated the technology of using electricity demands for providing frequency reserve to power systems. Within the project the potential and economy of DFR compatible loads in Denmark has been investigated, control logic has been designed, power system impact has been investigated, potential business models has been evaluated and an implementation strategy has been suggested. The tasks and goals of the project have been successfully accomplished based on which the conclusion and future recommendation are made. This project has developed the DFR technology that enables electricity demands to autonomously disconnect or reconnect to the grid in response to system frequency variations. The developed DFR technology is proved to be a promising technology from several perspectives. Technically, using DFR is feasible to provide reserves and enhance power system frequency control, while fulfilling technical requirements such as linear activation (or reconnection) according to frequency (or time). Environmentally, the DFR technology is pollution free in contrast to traditional reserves from generation

  13. Communication technologies for demand side management

    Energy Technology Data Exchange (ETDEWEB)

    Uuspaeae, P. [VTT Energy, Espoo (Finland)

    1998-08-01

    The scope of this research is data communications for electric utilities, specifically for the purposes of Demand Side Management (DSM). Demand Side Management has the objective to change the customer`s end use of energy in a manner that benefits both the customer and the utility. For example, peak demand may be reduced, and the peak demand may be relocated to off peak periods. Thus additional investments in generation and network may be avoided. A number of Demand Side Management functions can be implemented if a communication system is available between the Electric Utility and the Customer. The total communication capacity that is needed, will depend on several factors, such as the functions that are chosen for DSM, and on the number and type of customers. Some functions may be handled with one-way communications, while some other functions need to have two-way communication

  14. Demand Forecasting Errors

    OpenAIRE

    Mackie, Peter; Nellthorp, John; Laird, James

    2005-01-01

    Demand forecasts form a key input to the economic appraisal. As such any errors present within the demand forecasts will undermine the reliability of the economic appraisal. The minimization of demand forecasting errors is therefore important in the delivery of a robust appraisal. This issue is addressed in this note by introducing the key issues, and error types present within demand fore...

  15. MAJOR AGRICULTURAL MIGRANT LABOR DEMAND AREAS.

    Science.gov (United States)

    Department of Labor, Washington, DC.

    DEPICTED ARE 12 CHARTS OF MAJOR CROP PRODUCTION CENTERS IN THE UNITED STATES WHICH DEMAND THE LABOR OF MIGRATORY FARM WORKERS THROUGHOUT THE YEAR. EACH CHART ILLUSTRATES THE AREAS OF AGRICULTURAL MIGRANT LABOR DEMAND FOR ONE MONTH OF THE YEAR. THE PURPOSE IS TO ACQUAINT THE PUBLIC WITH THE COMPLEXITY OF PLACING AND SCHEDULING MIGRATORY WORKERS…

  16. California customer load reductions during the electricity crisis: Did they help to keep the lights on?

    Energy Technology Data Exchange (ETDEWEB)

    Goldman, Charles A.; Barbose Galen L.; Eto, Joseph H.

    2002-05-01

    During summer 2001, Californians reduced electricity usage by 6 percent and average monthly peak demand by 8 percent, compared to summer 2000. These load reductions played an important role in avoiding the hundreds of hours of rotating power outages predicted several months prior. Many factors affected electricity use and peak demand in summer 2001, including weather, changes in the State's economy, and deliberate consumer responses to a variety of stimuli associated with the crisis. This paper assesses the roles played by these contributing factors, with a special focus on the extraordinary efforts made by Californians to reduce electricity consumption. We review the role of media coverage and informational campaigns on public awareness and the impact of rate increases and a variety of publicly funded programs in reducing electricity consumption. We also draw lessons for other regions that may be faced with the prospect of electricity shortages.

  17. Time-dependent correlations in electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Alvarez-Ramirez, Jose; Escarela-Perez, Rafael [Departamento de Energia, Universidad Autonoma Metropolitana, Mexico DF, 09340 (Mexico)

    2010-03-15

    In the last years, many electricity markets were subjected to deregulated operation where prices are set by the action of market participants. In this form, producers and consumers rely on demand and price forecasts to decide their bidding strategies, allocate assets, negotiate bilateral contracts, hedge risks, and plan facility investments. A basic feature of efficient market hypothesis is the absence of correlations between price increments over any time scale leading to random walk-type behavior of prices, so arbitrage is not possible. However, recent studies have suggested that this is not the case and correlations are present in the behavior of diverse electricity markets. In this paper, a temporal quantification of electricity market correlations is made by means of detrended fluctuation and Allan analyses. The approach is applied to two Canadian electricity markets, Ontario and Alberta. The results show the existence of correlations in both demand and prices, exhibiting complex time-dependent behavior with lower correlations in winter while higher in summer. Relatively steady annual cycles in demand but unstable cycles in prices are detected. On the other hand, the more significant nonlinear effects (measured in terms of a multifractality index) are found for winter months, while the converse behavior is displayed during the summer period. In terms of forecasting models, our results suggest that nonlinear recursive models (e.g., feedback NNs) should be used for accurate day-ahead price estimation. In contrast, linear models can suffice for demand forecasting purposes. (author)

  18. Exploring Demand Charge Savings from Commercial Solar

    Energy Technology Data Exchange (ETDEWEB)

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

    2017-07-31

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

  19. 采用分时充电电价时电动汽车充电需求分析%Analysis on Charging Demand of Electric Vehicle Based on Application of Time-sharing Charging Price

    Institute of Scientific and Technical Information of China (English)

    郑丹; 袁泉

    2014-01-01

    大规模的随意式充电必然给电力系统带来一定的负面影响,甚至会威胁到系统的安全性。为避免和解决这一问题,采用基于价格影响消费者行为的经济学理论,分析私家车的日常出行习惯、停车习惯、充电习惯,提出相应充电负荷响应矩阵,建立分时充电电价模型,研究充电负荷对充电电价的变化而产生的响应、不同种类电池的充电需求推算、在自主充电的行为下一天24 h中的日充电负荷分布等。通过实例分析,建议利用充电电价的变化对电动汽车充电行为进行引导,通过优化求解来减少大规模随意式的充电负荷给电力系统带来的负面影响;同时鼓励电动汽车车主调整充电时间,从而达到“削峰填谷”的新能源调度效果。%Large-scale random charging must result in negative effects on power system and seriously threaten system security indeed. In order to avoid and solve this problem,economics theory based on price affecting customer behavior was applied to analyze daily trip habit,park habit and charging habit of private car. Meanwhile,relevant charging load response matrix was proposed,time-sharing charging price model was established and studies on response of charging load with changes of charging prices,charging demands of different batteries and daily charging load distribution in 24 hours to autonomous char-ging premise were conducted. By means of example analysis,it was suggested to use changes of charging prices to guide char-ging behavior of the electric vehicle and reduce negative effects of large-scale random charging load on power system by opti-mization solution. In addition,electric vehicle owners were encouraged to adjust charging time for reach new energy dispatc-hing effects of peak load shaving.

  20. Monthly energy review, October 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-10-01

    This document presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Information is also provided for oil and gas resource development. International energy statistics are given for petroleum production, consumption, and stocks, and for nuclear electricity gross generation. 37 figs., 61 tabs.

  1. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    Energy Technology Data Exchange (ETDEWEB)

    Thompson, Lisa; Song, Katherine; Lekov, Alex; McKane, Aimee

    2008-11-19

    Wastewater treatment is an energy intensive process which, together with water treatment, comprises about three percent of U.S. annual energy use. Yet, since wastewater treatment facilities are often peripheral to major electricity-using industries, they are frequently an overlooked area for automated demand response opportunities. Demand response is a set of actions taken to reduce electric loads when contingencies, such as emergencies or congestion, occur that threaten supply-demand balance, and/or market conditions occur that raise electric supply costs. Demand response programs are designed to improve the reliability of the electric grid and to lower the use of electricity during peak times to reduce the total system costs. Open automated demand response is a set of continuous, open communication signals and systems provided over the Internet to allow facilities to automate their demand response activities without the need for manual actions. Automated demand response strategies can be implemented as an enhanced use of upgraded equipment and facility control strategies installed as energy efficiency measures. Conversely, installation of controls to support automated demand response may result in improved energy efficiency through real-time access to operational data. This paper argues that the implementation of energy efficiency opportunities in wastewater treatment facilities creates a base for achieving successful demand reductions. This paper characterizes energy use and the state of demand response readiness in wastewater treatment facilities and outlines automated demand response opportunities.

  2. Coordination of Energy Efficiency and Demand Response

    Energy Technology Data Exchange (ETDEWEB)

    Goldman, Charles; Reid, Michael; Levy, Roger; Silverstein, Alison

    2010-01-29

    This paper reviews the relationship between energy efficiency and demand response and discusses approaches and barriers to coordinating energy efficiency and demand response. The paper is intended to support the 10 implementation goals of the National Action Plan for Energy Efficiency's Vision to achieve all cost-effective energy efficiency by 2025. Improving energy efficiency in our homes, businesses, schools, governments, and industries - which consume more than 70 percent of the nation's natural gas and electricity - is one of the most constructive, cost-effective ways to address the challenges of high energy prices, energy security and independence, air pollution, and global climate change. While energy efficiency is an increasingly prominent component of efforts to supply affordable, reliable, secure, and clean electric power, demand response is becoming a valuable tool in utility and regional resource plans. The Federal Energy Regulatory Commission (FERC) estimated the contribution from existing U.S. demand response resources at about 41,000 megawatts (MW), about 5.8 percent of 2008 summer peak demand (FERC, 2008). Moreover, FERC recently estimated nationwide achievable demand response potential at 138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).2 A recent Electric Power Research Institute study estimates that 'the combination of demand response and energy efficiency programs has the potential to reduce non-coincident summer peak demand by 157 GW' by 2030, or 14-20 percent below projected levels (EPRI, 2009a). This paper supports the Action Plan's effort to coordinate energy efficiency and demand response programs to maximize value to customers. For information on the full suite of policy and programmatic options for removing barriers to energy efficiency, see the Vision for 2025 and the various other Action Plan papers and guides available at www.epa.gov/eeactionplan.

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

    Directory of Open Access Journals (Sweden)

    Flamur Bidaj

    2015-06-01

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

  4. Supplying the energy demand in the chicken meat processing poultry with biogas

    Directory of Open Access Journals (Sweden)

    Adriano Henrique Ferrarez

    2016-04-01

    Full Text Available The main use of electrical energy in the chicken meat processing unit is refrigeration. About 70% of the electricity is consumed in the compressors for the refrigeration system. Through this study, the energetic viability of using biogas from poultry litter in supplying the demand for the refrigeration process was found. The meat processing unit studied has the potential to process about a hundred and sixty thousand chickens a day. The potential biogas production from poultry litter is 60,754,298.91 m3.year-1. There will be a surplus of approximately 8,103MWh per month of electric energy generated from biogas. An economic analysis was performed considering a planning horizon of 20 years and the discount rate of 12% per year. The economic analysis was performed considering scenario 1: sale of all electricity generated by the thermoelectric facility, and scenario 2: sale of the surplus electricity generated after complying with the demands of the refrigeration process and all other electrical energy and thermal energy use. Economic indicators obtained for scenarios 1 and 2 were favorable for the project implementation.

  5. 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)

  6. Monthly energy review, August 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-08-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. 37 figs., 73 tabs.

  7. Monthly energy review, April 1998

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-04-01

    This report presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy data. A brief summary of the monthly and historical comparison data is provided in Section 1 of the report. A highlight section of the report provides an assessment of summer 1997 motor gasoline price increases.

  8. Monthly energy review, April 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-04-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public.

  9. Puget Sound Area Electric Reliability Plan : Draft Environmental Impact State.

    Energy Technology Data Exchange (ETDEWEB)

    United States. Bonneville Power Administration.

    1991-09-01

    The Puget Sound Area Electric Reliability Plan Draft Environmental Impact Statement (DEIS) identifies the alternatives for solving a power system problem in the Puget Sound area. This Plan is undertaken by Bonneville Power Administration (BPA), Puget Sound Power Light, Seattle City Light, Snohomish Public Utility District No. 1 (PUD), and Tacoma Public Utilities. The Plan consists of potential actions in Puget Sound and other areas in the State of Washington. A specific need exists in the Puget Sound area for balance between east-west transmission capacity and the increasing demand to import power generated east of the Cascades. At certain times of the year, there is more demand for power than the electric system can supply in the Puget Sound area. This high demand, called peak demand, occurs during the winter months when unusually cold weather increases electricity use for heating. The existing power system can supply enough power if no emergencies occur. However, during emergencies, the system will not operate properly. As demand grows, the system becomes more strained. To meet demand, the rate of growth of demand must be reduced or the ability to serve the demand must be increased, or both. The plan to balance Puget Sound's power demand and supply has these purposes: The plan should define a set of actions that would accommodate ten years of load growth (1994--2003). Federal and State environmental quality requirements should be met. The plan should be consistent with the plans of the Northwest Power Planning Council. The plan should serve as a consensus guideline for coordinated utility action. The plan should be flexible to accommodate uncertainties and differing utility needs. The plan should balance environmental impacts and economic costs. The plan should provide electric system reliability consistent with customer expectations. 29 figs., 24 tabs.

  10. Puget Sound area electric reliability plan. Draft environmental impact statement

    Energy Technology Data Exchange (ETDEWEB)

    1991-09-01

    The Puget Sound Area Electric Reliability Plan Draft Environmental Impact Statement (DEIS) identifies the alternatives for solving a power system problem in the Puget Sound area. This Plan is undertaken by Bonneville Power Administration (BPA), Puget Sound Power & Light, Seattle City Light, Snohomish Public Utility District No. 1 (PUD), and Tacoma Public Utilities. The Plan consists of potential actions in Puget Sound and other areas in the State of Washington. A specific need exists in the Puget Sound area for balance between east-west transmission capacity and the increasing demand to import power generated east of the Cascades. At certain times of the year, there is more demand for power than the electric system can supply in the Puget Sound area. This high demand, called peak demand, occurs during the winter months when unusually cold weather increases electricity use for heating. The existing power system can supply enough power if no emergencies occur. However, during emergencies, the system will not operate properly. As demand grows, the system becomes more strained. To meet demand, the rate of growth of demand must be reduced or the ability to serve the demand must be increased, or both. The plan to balance Puget Sound`s power demand and supply has these purposes: The plan should define a set of actions that would accommodate ten years of load growth (1994--2003). Federal and State environmental quality requirements should be met. The plan should be consistent with the plans of the Northwest Power Planning Council. The plan should serve as a consensus guideline for coordinated utility action. The plan should be flexible to accommodate uncertainties and differing utility needs. The plan should balance environmental impacts and economic costs. The plan should provide electric system reliability consistent with customer expectations. 29 figs., 24 tabs.

  11. A new combinational electrical load analysis method for demand side management%一种面向需求侧管理的用户负荷形态组合分析方法

    Institute of Scientific and Technical Information of China (English)

    黄宇腾; 侯芳; 周勤; 付博; 郭创新

    2013-01-01

    Traditional electrical load analysis methods have disadvantages on gaining the representative load profile of a single customer as well as evaluating similarity between the different load patterns. This paper proposes a new combinational load analysis method by using the density based clustering to gain the representative load profile of a single customer and clustering different customers into different clusters according to the cosine similarity function. After applying this method to a real power system’s data set, the result is compared with the one using traditional analysis method and the applications in demand side management (DSM) are discussed. The results show that this new method could effectively find the representative load profiles and recognize the different load profiles, and thus confirm the value of this method in DSM applications.%  提出了一种面向需求侧管理的用户负荷形态组合分析方法,改善了传统方法在单一用户典型负荷形态提取以及不同负荷形态相似性度量上的不足。该方法以密度聚类算法剔除单一用户异常日用电形态的影响,提取其典型负荷形态,再以余弦相似度度量不同用户典型负荷形态的相似波动特性,对用户进行分类。将该方法应用于实际电力负荷数据,将获得的用户分类结果与传统方法进行了比较,并以此为基础对负荷聚类在需求侧管理中的应用做了探讨。结果表明该方法能够有效地提取单一用户的典型负荷形态,并能够较好地度量不同负荷形态之间的相似波动特性,在需求侧管理中具有实用价值。

  12. The demand response to participate in the PJM wholesale electricity market operation and enlightenment to our country%美国需求响应参与PJM批发电力市场运行及对我国的启示(上)

    Institute of Scientific and Technical Information of China (English)

    姜勇; 李婷婷; 王蓓蓓; 窦讯

    2014-01-01

    美国PJM电力需求响应项目可分为紧急需求响应项目以及经济需求响应项目。介绍了PJM需求响应交易市场的参与主体,并从项目特点、参与到电力市场的方式、测量与结算以及运营情况等方面分别对紧急需求响应以及经济需求响应进行了分析与研究。最后,结合PJM电力市场中需求响应的运行情况以及我国电力市场环境,提出了对我国需求响应项目的开展的设想和建议。%Demand response program in PJM can be divided into emergency demand response and economic demand response. This article describes the PJM demand response participation in the market. In addition,details of the emergency demand response and economic demand response are identified from the characteris⁃tic of the programs,the way to participate in the electricity mar⁃ket,measurements,settlements and operational conditions respec⁃tively. Finally,based on the demand response in PJM and the elec⁃tricity market in our country,ideas and proposals are put forward to the implement of the demand response programs in China.

  13. The demand response to participate in the PJM wholesale electricity market operation and enlightenment to our country%美国需求响应参与PJM批发电力市场运行及对我国的启示(下)

    Institute of Scientific and Technical Information of China (English)

    姜勇; 李婷婷; 王蓓蓓; 窦讯

    2015-01-01

    美国PJM电力需求响应项目可分为紧急需求响应项目以及经济需求响应项目。介绍了PJM需求响应交易市场的参与主体,并从项目特点、参与到电力市场的方式、测量与结算以及运营情况等方面分别对紧急需求响应以及经济需求响应进行了分析与研究。最后,结合PJM电力市场中需求响应的运行情况以及我国电力市场环境,提出了对我国需求响应项目的开展的设想和建议。%Demand response program in PJM can be divided into emergency demand response and economic demand response. This article describes the PJM demand response participation in the market. In addition,details of the emergency demand response and economic demand response are identified from the characteris⁃tic of the programs,the way to participate in the electricity mar⁃ket,measurements,settlements and operational conditions respec⁃tively. Finally,based on the demand response in PJM and the elec⁃tricity market in our country,ideas and proposals are put forward to the implement of the demand response programs in China.

  14. Monthly energy review, January 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-01-01

    This document presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum,natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal metric conversion factors.

  15. Monthly energy review, July 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-07-01

    This document presents an overview of the recent monthly energy statistics from the Energy Information Administration (EIA). Statistical data covers activities of U.S. production, consumption, trade, stocks, and prices for fossil fuels , nuclear energy, and electricity. Also included are international energy and thermal and metric conversion factors.

  16. Monthly energy review, November 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-11-24

    The Monthly Energy Review gives information on production, distribution, and consumption for various energy sources, e.g. petroleum, natural gas, oil, coal, electricity, and nuclear energy. Some data is also included on international energy sources and supplies, the import of petroleum products into the US and pricing and reserves data (as applicable) for the various sources of energy listed above.

  17. Monthly energy review, November 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-11-01

    This document presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. International energy and thermal and metric conversion factors are included.

  18. Monthly energy review, April 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-04-01

    This report presents an overview of monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. International energy and thermal metric conversion factors are included.

  19. Monthly energy review, October 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-10-26

    The Monthly Energy Review gives information on production, distribution, and consumption for various energy sources, e.g. petroleum, natural gas, oil, coal, electricity, and nuclear energy. Some data is also included on international energy sources and supplies, the import of petroleum products into the US and pricing and reserves data (as applicable) for the various sources of energy listed above.

  20. Monthly energy review, June 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-06-25

    The Monthly Energy Review provides an overview of the production, distribution, and consumption of energy derived from petroleum, natural gas, coal, electricity, and nuclear energy. It also discusses oil and gas resource development, energy prices, and issues relevant to international energy markets.

  1. Monthly energy review, April 1994

    Energy Technology Data Exchange (ETDEWEB)

    1994-04-01

    The Monthly Energy Review contains statistical data on the following: energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. In addition, an energy overview is provided, and, for the April issue, Energy use and carbon emissions; Some international comparisons.

  2. Monthly energy review, December 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-12-22

    This document provides data on monthly energy use and fossil fuels. The following sections are included: Highlights: Emissions of greenhouse gases in the United States 1985--1990; Highlights: assessment of energy use in multibuilding facilities; energy overview; energy consumption; petroleum; natural gas; oil and gas resource development; coal; electricity; nuclear energy; energy prices; and international energy.

  3. Monthly energy review, October 1993

    Energy Technology Data Exchange (ETDEWEB)

    1993-10-26

    The Monthly Energy Review gives information on production, distribution, and consumption for various energy sources, e.g. petroleum, natural gas, oil, coal, electricity, and nuclear energy. Some data is also included on international energy sources and supplies, the import of petroleum products into the US and pricing and reserves data (as applicable) for the various sources of energy listed above.

  4. Monthly energy review, June 1990

    Energy Technology Data Exchange (ETDEWEB)

    1990-09-26

    The Monthly Energy Review presents current data on production, consumption, stocks, imports, exports, and prices of the principal energy commodities in the United States. Also included are data on international production of crude oil, consumption of petroleum products, petroleum stocks, and production of electricity from nuclear-powered facilities.

  5. Uranium 2009 resources, production and demand

    CERN Document Server

    Organisation for Economic Cooperation and Development. Paris

    2010-01-01

    With several countries currently building nuclear power plants and planning the construction of more to meet long-term increases in electricity demand, uranium resources, production and demand remain topics of notable interest. In response to the projected growth in demand for uranium and declining inventories, the uranium industry – the first critical link in the fuel supply chain for nuclear reactors – is boosting production and developing plans for further increases in the near future. Strong market conditions will, however, be necessary to trigger the investments required to meet projected demand. The "Red Book", jointly prepared by the OECD Nuclear Energy Agency and the International Atomic Energy Agency, is a recognised world reference on uranium. It is based on information compiled in 40 countries, including those that are major producers and consumers of uranium. This 23rd edition provides a comprehensive review of world uranium supply and demand as of 1 January 2009, as well as data on global ur...

  6. Dynamics of electricity market correlations

    Science.gov (United States)

    Alvarez-Ramirez, J.; Escarela-Perez, R.; Espinosa-Perez, G.; Urrea, R.

    2009-06-01

    Electricity market participants rely on demand and price forecasts to decide their bidding strategies, allocate assets, negotiate bilateral contracts, hedge risks, and plan facility investments. However, forecasting is hampered by the non-linear and stochastic nature of price time series. Diverse modeling strategies, from neural networks to traditional transfer functions, have been explored. These approaches are based on the assumption that price series contain correlations that can be exploited for model-based prediction purposes. While many works have been devoted to the demand and price modeling, a limited number of reports on the nature and dynamics of electricity market correlations are available. This paper uses detrended fluctuation analysis to study correlations in the demand and price time series and takes the Australian market as a case study. The results show the existence of correlations in both demand and prices over three orders of magnitude in time ranging from hours to months. However, the Hurst exponent is not constant over time, and its time evolution was computed over a subsample moving window of 250 observations. The computations, also made for two Canadian markets, show that the correlations present important fluctuations over a seasonal one-year cycle. Interestingly, non-linearities (measured in terms of a multifractality index) and reduced price predictability are found for the June-July periods, while the converse behavior is displayed during the December-January period. In terms of forecasting models, our results suggest that non-linear recursive models should be considered for accurate day-ahead price estimation. On the other hand, linear models seem to suffice for demand forecasting purposes.

  7. Innovation and Demand

    DEFF Research Database (Denmark)

    Andersen, Esben Sloth

    2007-01-01

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

  8. Electric Power annual 1996: Volume II

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-01

    This document presents a summary of electric power industry statistics. Data are included on electric utility retail sales of electricity, revenues, environmental information, power transactions, emissions, and demand-side management.

  9. PERFECT DEMAND ILLUSION

    Directory of Open Access Journals (Sweden)

    Alexander Yu. Sulimov

    2015-01-01

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

  10. Divers of Passenger Demand

    OpenAIRE

    Wittmer, Andreas

    2011-01-01

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

  11. Demand Side Bidding. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Spahn, Andrew

    2003-12-31

    This document sets forth the final report for a financial assistance award for the National Association of Regulatory Utility Commissioners (NARUC) to enhance coordination between the building operators and power system operators in terms of demand-side responses to Location Based Marginal Pricing (LBMP). Potential benefits of this project include improved power system reliability, enhanced environmental quality, mitigation of high locational prices within congested areas, and the reduction of market barriers for demand-side market participants. NARUC, led by its Committee on Energy Resources and the Environment (ERE), actively works to promote the development and use of energy efficiency and clean distributive energy policies within the framework of a dynamic regulatory environment. Electric industry restructuring, energy shortages in California, and energy market transformation intensifies the need for reliable information and strategies regarding electric reliability policy and practice. NARUC promotes clean distributive generation and increased energy efficiency in the context of the energy sector restructuring process. NARUC, through ERE's Subcommittee on Energy Efficiency, strives to improve energy efficiency by creating working markets. Market transformation seeks opportunities where small amounts of investment can create sustainable markets for more efficient products, services, and design practices.

  12. Saving electricity in a hurry. Dealing with temporary shortfalls in electricity supplies

    Energy Technology Data Exchange (ETDEWEB)

    none

    2005-07-01

    Blackouts are normally the result of imbalances in electricity supply and demand. A brief blackout is mostly an inconvenience. But persistent shortfalls ? those lasting days, weeks, or months ? can cause economic disruption and danger to human life in our technology-rich societies. Saving Electricity in a Hurry describes some of the recent power shortfalls, from Norway to New Zealand, from Tokyo to Arizona and the policies these regions used to quickly reduce their power consumption. How did the whole country of Sweden cut its power consumption by 4% in only three days? How did California save 14% in only a few months? While the temporary shortfalls in electricity supplies described in this book are relatively rare events, they disproportionately shape future energy policies. Saving Electricity in a Hurry shows that countries can quickly reduce electricity consumption without harming the economy as much as blackouts or unplanned curtailments. The strategies are diverse, unique and often surprisingly cheap. They include mass media campaigns ? where a good joke can save a Megawatt ? improvements in equipment efficiency and quickly adjusting electricity prices. This book explains how California replaced a million traffic signals with energy-saving models, how millions of Tokyo residents raised their thermostat settings, and how New Zealanders took shorter showers, all quickly enough to help avoid imminent blackouts. Finally, it connects these policies to the traditional goal of ?saving electricity slowly?.

  13. Demand as Frequency-controlled Reserve

    DEFF Research Database (Denmark)

    Bang, Christian; Rasmussen, Christian Brandt; Østergaard, Jacob

    with great enthusiasm from all DFR project members who have shown a memorable dedication to their work. Active control of electricity demand is a key technology when creating a more dynamic, wind power friendly energy system. In this demonstration project, we have developed and tested devices, which use...... electric loads to provide frequency controlled primary reserves. The devices collected data from domestic households and industrial loads covering i.e. circulation pumps, electrical domestic heating, bottle coolers, a wastewater treatment plant etc., that have been analysed and used for the papers...

  14. 基于电力需求响应的智能家电管理控制方案%Management and Control Scheme for Intelligent Home Appliances Based on Electricity Demand Response

    Institute of Scientific and Technical Information of China (English)

    汤奕; 鲁针针; 宁佳; 林扬宇

    2014-01-01

    It”s worth in-depth research effectively integrating the potential of the user side response to the power grid using smart electricity demand response(DR)technology to improve its secure,stable and economical operation.Take the residential users for example,by using the capabilities of bi-directional interactive operation of the smart grid,a smart home appliances management(HAM)system with its control scheme is proposed.Models of different appliances are developed and according to their operating characteristics,an evaluation index is proposed that can represent the comfort of different appliances.To meet the requirements of DR and on the premise of the users”comfort,dynamic priorities of different appliances are calculated online according to their real-time status,and load control decision is performed in order of priority.The role in improving the power grid load curve is analyzed after the participation of all appliances in DR.The effects of the proposed HAM and its control scheme are analyzed for both the power company and the user.Simulation results have verified the rationality of the home appliance management scheme proposed.%运用智能电力需求响应(DR)技术,有效整合用户侧电网响应潜力以提升电网运行的安全性、稳定性和经济性值得深入研究。以居民用户为例,利用智能电网双向交互能力,提出了智能家电管理(H AM)系统及其控制方案。建立了不同家电的控制模型,并根据家电运行特点提出了家电舒适度指数的概念。在满足DR用电要求并尽量满足用户舒适度的前提下,根据家电实时状态在线计算其动态优先级,并按照优先级顺序执行负荷控制决策。分析了不同家电参与DR 后,对改善电网负荷曲线的作用。从电力公司与用户两方面分析了所提控制方案的控制效果。仿真结果验证了智能家电控制方案的合理性。

  15. Paramedic Physical Demands Analysis

    Science.gov (United States)

    2014-07-01

    medical bags, cardiac monitor, stretcher, stair chair, etc.) were not standardized across services. As a result the total amount of equipment weight ...report describes the pushing/pulling, walking, and stair climbing demands as observed during the observation periods. Walking demands varied between the...standard deviation about the mean. .................................................................. 25 Figure 7 - The maximum weight (heaviest patient

  16. Wood supply and demand

    Science.gov (United States)

    Peter J. Ince; David B. McKeever

    2011-01-01

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

  17. Causality in demand

    DEFF Research Database (Denmark)

    Nielsen, Max; Jensen, Frank; Setälä, Jari;

    2011-01-01

    This article focuses on causality in demand. A methodology where causality is imposed and tested within an empirical co-integrated demand model, not prespecified, is suggested. The methodology allows different causality of different products within the same demand system. The methodology is applied...... to fish demand. On the German market for farmed trout and substitutes, it is found that supply sources, i.e. aquaculture and fishery, are not the only determinant of causality. Storing, tightness of management and aggregation level of integrated markets might also be important. The methodological...... implication is that more explicit focus on causality in demand analyses provides improved information. The results suggest that frozen trout forms part of a large European whitefish market, where prices of fresh trout are formed on a relatively separate market. Redfish is a substitute on both markets...

  18. Drivers of U.S. mineral demand

    Science.gov (United States)

    Sznopek, John L.

    2006-01-01

    Introduction: The word 'demand' has different meanings for different people. To some, it means their 'wants and needs,' to others it is what they consume. Yet, when considering economics, demand refers to the specific amounts of goods or services that individuals will purchase at various prices. Demand is measured over a given time period. It is determined by a number of factors including income, tastes, and the price of complementary and substitute goods. In this paper, the term consumption is used fairly synonymously with the term demand. Most mineral commodities, like iron ore, copper, zinc, and gravel, are intermediate goods, which means that they are used in the production of other goods, called final goods. Demand for intermediate goods is called derived demand because such demand is derived from the demand for final goods. When demand increases for a commodity, generally the price rises. With everything else held constant, this increases the profits for those who provide this commodity. Normally, this would increase profits of existing producers and attract new producers to the market. When demand for a commodity decreases, generally the price falls. Normally, this would cause profits to fall and, as a consequence, the least efficient firms may be forced from the industry. Demand changes for specific materials as final goods or production techniques are reengineered while maintaining or improving product performance, for example, the use of aluminum in the place of copper in long distance electrical transmission lines or plastic replacing steel in automobile bumpers. Substitution contributes to efficient material usage by utilizing cheaper or technically superior materials. In this way, it may also alleviate materials scarcity. If a material becomes relatively scarce (and thus more expensive), a more abundant (and less expensive) material generally replaces it (Wagner and others, 2003, p. 91).

  19. Coal in transition 1980--2000 demand considerations

    Energy Technology Data Exchange (ETDEWEB)

    Kydes, A S; Cherniavsky, E A

    1977-12-01

    The usefulness of the Brookhaven model, TESOM, lies in its exploration of the demand side of the energy system. Sectors where coal may be substituted for other energy forms are identified, and attractive technologies are highlighted. The results of the runs accord well with intuitive expectations. The increasing prices of oil and natural gas usually imply that (a) coal synthetics become increasingly attractive technologies, except in the High Demand and CRUNCH Cases (b) nuclear and hydro-electric generation are preferred technologies, (c) coal steam electric, even with expensive scrubbers, becomes more attractive than oil or gas steam electric by year 1990, (d) fluidized bed combustion for electricity generation is cost effective (with relatively small environmental impacts) when compared to oil, gas and coal steam electric. FBC process steam exhibits similar behavior. In the High Demand and CRUNCH scenarios, technologies such as solar electric, which are usually not chosen on the basis of cost, enter the solution because meeting demands has become extremely difficult. As the allowed coal expansion rate becomes a limiting factor, coal synthetics manufacturing becomes an unattractive alternative. This is due both to the need for coal electric generation to meet high electricity demand levels, and to the inefficiencies in the manufacturing process. Due to preferred allocation of coal to electricity generation or synthetics, direct coal use is reduced, although this is normally a preferred option.

  20. Monthly energy review, September 1997

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-09-01

    This publication presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Information is also provided on international energy, including petroleum production, consumption, and stocks and nuclear electricity gross generation. This issues provides a brief industry overview and a detailed analysis of the spring 1996 gasoline price runup, crude oil supply issues, U.S. crude oil imports, petroleum stocks, futures markets, refining cash margin trends, and the financial performance of U.S. refining and marketing firms. 37 figs., 73 tabs.

  1. Electric and Hybrid Electric Vehicle Technologies

    Science.gov (United States)

    2007-11-02

    electric vehicles .10 In 1994, BART chose the bid submitted by U.S. Electricar to provide 45 converted Geo Prisms and to be the turnkey operator. However...Declining to Sign Contracts Rank (1 = highest) => 1 2 3 4 Cost too much per month (10) 6 2 1 1 Want to buy , not lease, an electric vehicle (4) 2 1...District DEFENSE ADVANCED RESEARCH PROJECTS AGENCY ELECTRIC AND HYBRID ELECTRIC VEHICLE TECHNOLOGIES COOPERATIVE AGREEMENT MDA972-93-1-0027 QUARTERLY

  2. Study on Construction of a Demand-Led SCM System and Its Implementation in Electrical Power Industry%需求主导的供应链管理体系在电力行业的构建与实施

    Institute of Scientific and Technical Information of China (English)

    陈铭; 高峻峻; 周良毅; 洪芳华

    2011-01-01

    根据上海市电力公司物资管理现状,科学分析了电力系统的二类主要物资需求一工程项目物资与生产维修物资的各自需求特性和物资供应规律,构建了需求主导的供应链管理体系的框架:对供应链全过程的物资计划,采购招标,合同履约,物流配送,信息管理等方面在组织架构与运营机制的关联创新.对物流,信息流与资金流的高度集成提出了具体方案.%In light of the current status of material management of Shanghai Electric Power Company, the paper analyzes the demand characterstics and supply patterns of two classes of materials that constitute a major proportion of material demand for the electrical power industry, namely engineering materials and production and maintenance materials and establishes the framework of a demand-led SCM system which can lead to structural innovations in supply chain whole process material planning, purchasing and bidding, contract compliance, distribution and transportation and information management, etc. And other related innovations in supply chain operational mechanism.

  3. Progress toward Producing Demand-Response-Ready Appliances

    Energy Technology Data Exchange (ETDEWEB)

    Hammerstrom, Donald J.; Sastry, Chellury

    2009-12-01

    This report summarizes several historical and ongoing efforts to make small electrical demand-side devices like home appliances more responsive to the dynamic needs of electric power grids. Whereas the utility community often reserves the word demand response for infrequent 2 to 6 hour curtailments that reduce total electrical system peak load, other beneficial responses and ancillary services that may be provided by responsive electrical demand are of interest. Historically, demand responses from the demand side have been obtained by applying external, retrofitted, controlled switches to existing electrical demand. This report is directed instead toward those manufactured products, including appliances, that are able to provide demand responses as soon as they are purchased and that require few, or no, after-market modifications to make them responsive to needs of power grids. Efforts to be summarized include Open Automated Demand Response, the Association of Home Appliance Manufacturer standard CHA 1, a simple interface being developed by the U-SNAP Alliance, various emerging autonomous responses, and the recent PinBus interface that was developed at Pacific Northwest National Laboratory.

  4. Grid Integration of Aggregated Demand Response, Part 2: Modeling Demand Response in a Production Cost Model

    Energy Technology Data Exchange (ETDEWEB)

    Hummon, Marissa [National Renewable Energy Lab. (NREL), Golden, CO (United States); Palchak, David [National Renewable Energy Lab. (NREL), Golden, CO (United States); Denholm, Paul [National Renewable Energy Lab. (NREL), Golden, CO (United States); Jorgenson, Jennie [National Renewable Energy Lab. (NREL), Golden, CO (United States); Olsen, Daniel J. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kiliccote, Sila [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Matson, Nance [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sohn, Michael [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Rose, Cody [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dudley, Junqiao [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Goli, Sasank [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ma, Ookie [U.S. Dept. of Energy, Washington, DC (United States)

    2013-12-01

    This report is one of a series stemming from the U.S. Department of Energy (DOE) Demand Response and Energy Storage Integration Study. This study is a multi-national-laboratory effort to assess the potential value of demand response (DR) and energy storage to electricity systems with different penetration levels of variable renewable resources and to improve our understanding of associatedmarkets and institutions. This report implements DR resources in the commercial production cost model PLEXOS.

  5. Demand response in a market environment

    DEFF Research Database (Denmark)

    Larsen, Emil Mahler

    pricing and to classify different types of customers. The proposed models are then embedded into new fiveminute electricity markets for system balancing and local congestion management. New market tools for exploiting and maintaining a degree of control over demand are developed, and the value of DR using...... indirect control is determined in terms of social welfare. This thesis is written in the context of Danish and European power systems because the data used - and the data-driven models subsequently created - come from and were developed for the EcoGrid EU project. The demand forecasting models......This thesis addresses the design, deployment and benefits of demand response in a market environment. Demand response is consumption that can be controlled by an external stimulus in the power system. Flexible consumption is a useful tool for absorbing volatile power from renewable sources like...

  6. Monthly energy review, June 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-06-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. 37 figs., 61 tabs.

  7. Monthly energy review, July 1999

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-07-01

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. 37 figs., 75 tabs.

  8. The electricity sector susceptibility of European countries to climate change

    Science.gov (United States)

    Klein, Daniel R.; Olonscheck, Mady; Walther, Carsten; Kropp, Jürgen P.

    2014-05-01

    Due to the close relationship between electricity consumption, production and temperature, the electricity systems of countries are particularly susceptible to climate change. Based on a number of quantitative influencing factors, we provide a relative index for 21 European countries. This allows relevant stakeholders to identify the main influencing factors that determine the electricity system susceptibility of their country. The index was determined using 14 influencing factors that include those that increase or decrease susceptibility. This includes information on monthly mean temperature, electricity consumption, import, export and production by energy source for the period 2000-2011. Moreover, we consider the results of nine global climate models regarding future temperature changes as well as data on air conditioner prevalence by country. A quantitative relative ranked index describing the susceptibility of each country's electricity system is provided. In both Luxembourg and Greece, which top the list, the inability to meet electricity demand with inland production as well as a heavy reliance on combustible fuel electricity production explain part of the high relative susceptibility. Summer electricity consumption (another influencing factor) is expected to increase in Greece where current relatively warm temperatures, in the context of the countries included in this study, are expected to increase in the future. Comparatively, Norway was the least susceptible country based on our index. Norway is expected to benefit from rising projected temperatures, which will decrease winter electricity consumption and limit susceptibility. Furthermore, Norway's current electricity production exceeds consumption demand and is largely based on hydro, which also decreases susceptibility. The findings of this study enable policy makers, scientists and energy managers to examine the most important influencing factors that increase susceptibility and focus their adaptation

  9. Domestic Demand Will Work

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    China can invigorate its economy by expanding domestic demand and boosting consumption chinese bankers are preparing to set up finance companies that provide consumer loans in major cities like Beijing and Shanghai.

  10. Impact of Energy Demands

    Science.gov (United States)

    Cambel, Ali B.

    1970-01-01

    The types of pollutants associated with the process of power production are identified. A nine-point proposal is presented on the ways the increase in power demands might be achieved with the minimum threat to the environment. (PR)

  11. Characteristics and trends of China's oil demand

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Haibo

    2010-09-15

    Based on historical analysis of Chinese oil consumption from 1980 to 2008, the author develops an econometric modeling - Medium and Long-term Chinese Oil Demand Forecast Model. Results shows that, Chinese oil demand will be 632 MT in 2020 without consideration of substitutions, and the annual growth rate will be 4.2%, much slower than before. The demand ratio of diesel to gasoline will decline, while kerosene demand will grow faster. If new energy vehicles (NGV and electric vehicles, etc.) develop rapidly and industrial fuel-oil demand is substituted effectively, about 23 million tons of oil could be saved.

  12. Monthly energy review, December 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-21

    This publication presents an overview of EIA`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. An energy preview of alternative fuel providers vehicle fleet surveys is included. The publication is intended for use by members of Congress, Federal and State agencies, energy analysts, and the general public.

  13. Electricity from wetlands

    NARCIS (Netherlands)

    Wetser, K.

    2016-01-01

    Sustainable electricity generation by the plant microbial fuel cell Fossil fuels are currently the main source of electricity production. Combustion of fossil fuels causes air pollution severely affecting human health and nature. This results in an increasing demand for renewable el

  14. Sustainable Use of Electricity

    DEFF Research Database (Denmark)

    Nørgaard, Jørgen

    1998-01-01

    analyses of the demand side indicated a need for such analyses. A model of the energy chain from primary energy to energy services is presented. Electricity consumption pattern are discussed. The vast options for saving electricity through more efficent end-use technologies are presented, and the barriers...

  15. Chinese Demand Boosts Luxury Brand Profits

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The world’s biggest luxury brands have their eyes set on the Chinese consumer - a strategy that is reaping profits. In the next few months,the British fashion house Burberry will expand its retail space in China to capitalize on strong Chinese consumer demand for luxury products.Already,sales in China have contributed 4 percent to the

  16. Daily peak electricity load forecasting in South Africa using a ...

    African Journals Online (AJOL)

    major source of variation in peak demand forecasting and the inclusion of temperature has a significant ... This definition of electrical demand has its weaknesses. Electrical ..... The coefficient of t is positive, showing a positive linear trend.

  17. A Distributed Intelligent Automated Demand Response Building Management System

    Energy Technology Data Exchange (ETDEWEB)

    Auslander, David; Culler, David; Wright, Paul; Lu, Yan; Piette, Mary

    2013-12-30

    The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov-­ March) and a steam absorption chiller for use in the warm months (April-­October). Lighting in the open office areas is provided by direct-­indirect luminaries with Building Management System-­based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load

  18. A Distributed Intelligent Automated Demand Response Building Management System

    Energy Technology Data Exchange (ETDEWEB)

    Auslander, David [Univ. of California, Berkeley, CA (United States); Culler, David [Univ. of California, Berkeley, CA (United States); Wright, Paul [Univ. of California, Berkeley, CA (United States); Lu, Yan [Siemens Corporate Research Inc., Princeton, NJ (United States); Piette, Mary [Univ. of California, Berkeley, CA (United States)

    2013-03-31

    The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov-­ March) and a steam absorption chiller for use in the warm months (April-­October). Lighting in the open office areas is provided by direct-­indirect luminaries with Building Management System-­based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load

  19. 基于产业发展与岗位需求的高职电类专业与课程建设的研究%Research on Course Construction of Higher Vocational Electricity Specialty Based on Industry Development and Job Demand

    Institute of Scientific and Technical Information of China (English)

    邵帅

    2016-01-01

    This paper presents the basic principles for course construction of higher vocational e‐lectricity specialty combining with the industrial structure and job demand ,and it discusses higher voca‐tional electricity course construction program that can deal with regional industrial structure adjustment and development ,and the problem in higher vocational electricity course construction that should be paid attention is put forward .%文本提出了结合产业结构与岗位需求对高职电类专业与课程建设的基本原则,探讨了应对区域产业结构调整与发展过程中高职电类专业与课程建设的方案,明确了电类专业与课程建设中应注意的问题。

  20. Electricity and Sustainability

    DEFF Research Database (Denmark)

    Nørgaard, Jørgen

    1998-01-01

    This invited presentation first deals with the potentials and environmantal advantages of reducing electricity demand. The policies for implementing these savings are dicussed and proposal for future strategies are suggested. The mephasis is on the conflicts between a free European trade with ele......This invited presentation first deals with the potentials and environmantal advantages of reducing electricity demand. The policies for implementing these savings are dicussed and proposal for future strategies are suggested. The mephasis is on the conflicts between a free European trade...... with electricity and the aim for electricty savings...