Sample records for forecasts energy consumption

  1. TV Energy Consumption Trends and Energy-Efficiency Improvement Options

    E-Print Network [OSTI]

    Park, Won Young

    2011-01-01T23:59:59.000Z

    a forecast for total energy consumption in network standbyconsiderable impact on total energy consumption from TVs.factors affecting total energy consumption. Although further

  2. CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST Energy Demand 2008-2018 forecast supports the analysis and recommendations of the 2007 Integrated Energy Commission demand forecast models. Both the staff draft energy consumption and peak forecasts are slightly

  3. CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff members in the Demand, and utilities. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption

  4. CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff in the Demand Analysis. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data

  5. ENERGY DEMAND FORECAST METHODS REPORT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

  6. Energy Consumption of Transponders

    E-Print Network [OSTI]

    California at Davis, University of

    Energy Consumption of Transponders Lei Shi Apr. 26, 2011 #12;Contents · Energy Efficient Ethernet · Energy Efficient EPON · Core Network ­ MLR: Reach and Energy Cost #12;Ethernet Energy Consumption is usually over 5 W · Energy Efficient Ethernet (EEE), uses a Low Power Idle mode to reduce energy

  7. Modeling energy consumption of residential furnaces and boilers in U.S. homes

    E-Print Network [OSTI]

    Lutz, James; Dunham-Whitehead, Camilla; Lekov, Alex; McMahon, James

    2004-01-01T23:59:59.000Z

    ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . .ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . .28 ENERGY CONSUMPTION

  8. Forecast of the electricity consumption by aggregation of specialized experts; application to Slovakian and French

    E-Print Network [OSTI]

    Forecast of the electricity consumption by aggregation of specialized experts; application-term forecast of electricity consumption based on ensemble methods. That is, we use several possibly independent´erieure and CNRS. hal-00484940,version1-19May2010 #12;Forecast of the electricity consumption by aggregation

  9. Energy Consumption Profile for Energy

    E-Print Network [OSTI]

    Langendoen, Koen

    317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

  10. Reduces electric energy consumption

    E-Print Network [OSTI]

    BENEFITS · Reduces electric energy consumption · Reduces peak electric demand · Reduces natural gas consumption · Reduces nonhazardous solid waste and wastewater generation · Potential annual savings products for the automotive industry, electrical equipment, and miscellaneous other uses nationwide. ALCOA

  11. Energy-consumption modelling

    SciTech Connect (OSTI)

    Reiter, E.R.

    1980-01-01T23:59:59.000Z

    A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

  12. Air-Conditioning Effect Estimation for Mid-Term Forecasts of Tunisian Electricity Consumption

    E-Print Network [OSTI]

    Boyer, Edmond

    Air-Conditioning Effect Estimation for Mid-Term Forecasts of Tunisian Electricity Consumption Tunisian electricity consumption (the residential sector represents 68% of this class of consumers). Nevertheless, with the Tunisian electricity consumption context, models elaborating which take account weather

  13. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand.Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product estimates. Margaret Sheridan provided the residential forecast. Mitch Tian prepared the peak demand

  14. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Robert P. Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

  15. Classification of Energy Consumption in Buildings with Outlier Detection

    E-Print Network [OSTI]

    Yao, Xin

    . Then a canonical variate analysis is employed to describe latent variables of daily electricity consumption is used to predict the daily electricity consumption profiles. A case study, based on a mixed use consumption data within a buildings energy management system. Electrical peak load forecasting plays

  16. TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY

    E-Print Network [OSTI]

    has developed longterm forecasts of transportation energy demand as well as projected ranges of transportation fuel and crude oil import requirements. The transportation energy demand forecasts makeCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY

  17. CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy-2 Demand Forecast Disaggregation......................................................1-4 Statewide

  18. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work to the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

  19. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work and expertise of numerous the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

  20. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work Sheridan provided the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid

  1. Transportation Energy Consumption Surveys

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember 26, 2008Product:7.1Energy Consumption (RTECS)

  2. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

  3. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

  4. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

  5. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

  6. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Table C22. Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace...

  7. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

  8. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

  9. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of...

  10. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

  11. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

  12. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of...

  13. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet)...

  14. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square...

  15. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

  16. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of...

  17. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

  18. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand The demand forecast is the combined product of the hard work and expertise of numerous California Energy for demand response program impacts and contributed to the residential forecast. Mitch Tian prepared

  19. CALIFORNIA ENERGY COMMISSION0 Annual Update to the Forecasted

    E-Print Network [OSTI]

    Values in TWh forthe Year2022 Formula Mid Demand Forecast Renewable Net High Demand Forecast Renewable Net Low Demand Forecast Renewable Net #12;CALIFORNIA ENERGY COMMISSION5 Demand Forecast · Retail Sales Forecast from California Energy Demand 2012 2022(CED 2011), Adopted Forecast* ­ Form 1.1c · Demand Forecast

  20. Forecast Energy | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power Basics (TheEtelligence (SmartHome Kyoung's pictureFlintFlowerForecast

  1. World energy consumption

    SciTech Connect (OSTI)

    NONE

    1995-12-01T23:59:59.000Z

    Historical and projected world energy consumption information is displayed. The information is presented by region and fuel type, and includes a world total. Measurements are in quadrillion Btu. Sources of the information contained in the table are: (1) history--Energy Information Administration (EIA), International Energy Annual 1992, DOE/EIA-0219(92); (2) projections--EIA, World Energy Projections System, 1994. Country amounts include an adjustment to account for electricity trade. Regions or country groups are shown as follows: (1) Organization for Economic Cooperation and Development (OECD), US (not including US territories), which are included in other (ECD), Canada, Japan, OECD Europe, United Kingdom, France, Germany, Italy, Netherlands, other Europe, and other OECD; (2) Eurasia--China, former Soviet Union, eastern Europe; (3) rest of world--Organization of Petroleum Exporting Countries (OPEC) and other countries not included in any other group. Fuel types include oil, natural gas, coal, nuclear, and other. Other includes hydroelectricity, geothermal, solar, biomass, wind, and other renewable sources.

  2. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 1: Statewide Electricity forecast is the combined product of the hard work and expertise of numerous staff members in the Demand prepared the peak demand forecast. Ravinderpal Vaid provided the projections of commercial floor space

  3. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

  4. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

  5. Manufacturing consumption of energy 1991

    SciTech Connect (OSTI)

    Not Available

    1994-12-01T23:59:59.000Z

    This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

  6. Exceeding Energy Consumption Design Expectations

    E-Print Network [OSTI]

    Castleton, H. F.; Beck, S. B. M.; Hathwat, E. A.; Murphy, E.

    2013-01-01T23:59:59.000Z

    ) the building consumed 208.7 kWh m-2 yr-1, 83% of the expected energy consumption (250 kWh m-2 yr-1). This dropped further to 176.1 kWh m-2 yr-1 in 2012 (70% below expected). Factors affecting building energy consumption have been discussed and appraised...

  7. Energy consumption of building 39

    E-Print Network [OSTI]

    Hopeman, Lisa Maria

    2007-01-01T23:59:59.000Z

    The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and ...

  8. TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY

    E-Print Network [OSTI]

    requirements. The transportation energy demand forecasts make assumptions about fuel price forecastsCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY ENERGY COMMISSION Gordon Schremp, Jim Page, and Malachi Weng-Gutierrez Principal Authors Jim Page Project

  9. TV Energy Consumption Trends and Energy-Efficiency Improvement Options

    E-Print Network [OSTI]

    Park, Won Young

    2011-01-01T23:59:59.000Z

    and Low Power Mode Energy Consumption, Energy Efficiency inEnergy Consumption ..26 3.1.3. 3D TV Energy Consumption and Efficiency

  10. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    A. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings...

  11. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 All Buildings* Sum of Major Fuel Consumption Number of Buildings (thousand)...

  12. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    . Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

  13. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace...

  14. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    . Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

  15. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

  16. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    . Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

  17. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace...

  18. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total...

  19. Energy Consumption of Minimum Energy Coding in

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Energy Consumption of Minimum Energy Coding in CDMA Wireless Sensor Networks Benigno Zurita Ares://www.ee.kth.se/control Abstract. A theoretical framework is proposed for accurate perfor- mance analysis of minimum energy coding energy consumption is analyzed for two coding schemes proposed in the literature: Minimum Energy coding

  20. Electricity Demand and Energy Consumption Management System

    E-Print Network [OSTI]

    Sarmiento, Juan Ojeda

    2008-01-01T23:59:59.000Z

    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...

  1. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    or fewer than 20 buildings were sampled. NNo responding cases in sample. Notes: Statistics for the "Energy End Uses" category represent total consumption in buildings that...

  2. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    sum to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

  3. Continuous Improvement Energy Projects Reduce Energy Consumption

    E-Print Network [OSTI]

    Niemeyer, E.

    2014-01-01T23:59:59.000Z

    Continuous Improvement Energy Projects Reduce Energy Consumption Eric Niemeyer, Operations Superintendent Drilling Specialties Company A division of Chevron Phillips Chemical Company LP ESL-IE-14-05-31 Proceedings of the Thrity...

  4. Office Buildings - Energy Consumption

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade Year-0Year Jan Feb Mar AprEnergy

  5. Residential Energy Consumption Survey:

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared atEffectquestionnairesU.S. Energy InformationU.S.

  6. ENERGY CONSUMPTION SURVEY

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623PrimarySelectedandForest(NAICSGlobal5

  7. Manufacturing consumption of energy 1994

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    This report provides estimates on energy consumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing Energy Consumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

  8. Univariate Modeling and Forecasting of Monthly Energy Demand Time Series

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    Univariate Modeling and Forecasting of Monthly Energy Demand Time Series Using Abductive and Neural demand time series based only on data for six years to forecast the demand for the seventh year. Both networks, Neural networks, Modeling, Forecasting, Energy demand, Time series forecasting, Power system

  9. TV Energy Consumption Trends and Energy-Efficiency Improvement Options

    E-Print Network [OSTI]

    Park, Won Young

    2011-01-01T23:59:59.000Z

    and Low Power Mode Energy Consumption, Energy Efficiency inTV Shipments on Energy Consumption.. 22 Figure 3-1.Estimates of Annual Energy Consumption in 3D mode of 3D TVs

  10. Monitoring Energy Consumption In Wireless Sensor Networks

    E-Print Network [OSTI]

    Turau, Volker

    Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer, it may impair the ability of the sensor network to function. Therefore, minimizing energy consumption energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

  11. Energy consumption in thermomechanical pulping

    SciTech Connect (OSTI)

    Marton, R.; Tsujimoto, N.; Eskelinen, E.

    1981-08-01T23:59:59.000Z

    Various components of refining energy were determined experimentally and compared with those calculated on the basis of the dimensions of morphological elements of wood. The experimentally determined fiberization energy of spruce was 6 to 60 times larger than the calculated value and that of birch 3 to 15 times larger. The energy consumed in reducing the Canadian standard freeness of isolated fibers from 500 to 150 ml was found to be approximately 1/3 of the total fiber development energy for both spruce and birch TMP. Chip size affected the refining energy consumption; the total energy dropped by approximately 30% when chip size was reduced from 16 mm to 3 mm in the case of spruce and approximately 40% for birch. 6 refs.

  12. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01T23:59:59.000Z

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  13. PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022

    E-Print Network [OSTI]

    PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022 AUGUST 2011 CEC-200-2011-011-SD CALIFORNIA or adequacy of the information in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

  14. Energy Consumption of Personal Computing Including Portable

    E-Print Network [OSTI]

    Namboodiri, Vinod

    Energy Consumption of Personal Computing Including Portable Communication Devices Pavel Somavat1 consumption, questions are being asked about the energy contribution of computing equipment. Al- though studies have documented the share of energy consumption by this type of equipment over the years, research

  15. AUTOMATION OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S.

    E-Print Network [OSTI]

    Povinelli, Richard J.

    AUTOMATION OF ENERGY DEMAND FORECASTING by Sanzad Siddique, B.S. A Thesis submitted to the Faculty OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand of the energy demand forecasting are achieved by integrating nonlinear transformations within the models

  16. Modeling of Uncertainty in Wind Energy Forecast

    E-Print Network [OSTI]

    regression and splines are combined to model the prediction error from Tunø Knob wind power plant. This data of the thesis is quantile regression and splines in the context of wind power modeling. Lyngby, February 2006Modeling of Uncertainty in Wind Energy Forecast Jan Kloppenborg Møller Kongens Lyngby 2006 IMM-2006

  17. Trends in Renewable Energy Consumption and Electricity

    Reports and Publications (EIA)

    2012-01-01T23:59:59.000Z

    Presents a summary of the nations renewable energy consumption in 2010 along with detailed historical data on renewable energy consumption by energy source and end-use sector. Data presented also includes renewable energy consumption for electricity generation and for non-electric use by energy source, and net summer capacity and net generation by energy source and state. The report covers the period from 2006 through 2010.

  18. Modelling the impact of user behaviour on heat energy consumption

    E-Print Network [OSTI]

    Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

    2011-01-01T23:59:59.000Z

    strategies impact on energy consumption in residentialBEHAVIOUR ON HEAT ENERGY CONSUMPTION Nicola Combe 1 ,2 ,nearly 60% of domestic energy consumption and 27% of total

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

    DOE Patents [OSTI]

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

    2008-09-02T23:59:59.000Z

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

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

    DOE Patents [OSTI]

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

    2006-03-07T23:59:59.000Z

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

  1. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    NONE

    1995-10-05T23:59:59.000Z

    This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

  2. Wind Forecasting Improvement Project | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf TheViolations | Department of EnergyisWilliamForecasting

  3. Home, Habits, and Energy: Examining Domestic Interactions and Energy Consumption

    E-Print Network [OSTI]

    Paulos, Eric

    , habitual, and irrational. Implications for the design of energy-conserving interactions with technology investigate the relationships among "normal" domestic interactions with technology, energy consumptionHome, Habits, and Energy: Examining Domestic Interactions and Energy Consumption James Pierce1

  4. Energy consumption metrics of MIT buildings

    E-Print Network [OSTI]

    Schmidt, Justin David

    2010-01-01T23:59:59.000Z

    With world energy demand on the rise and greenhouse gas levels breaking new records each year, lowering energy consumption and improving energy efficiency has become vital. MIT, in a mission to help improve the global ...

  5. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1995-07-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  6. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

  7. Implementation of a Corporate Energy Accounting and Forecasting Model

    E-Print Network [OSTI]

    Kympton, H. W.; Bowman, B. M.

    1981-01-01T23:59:59.000Z

    The development and implementation of a Frito-Lay computer based energy consumption reporting and modeling program is discussed. The system has been designed to relate actual plant energy consumption to a standard consumption which incorporates...

  8. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1996-10-01T23:59:59.000Z

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  9. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1999-02-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  10. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh)...

  11. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    3A. Total Electricity Consumption and Expenditures for All Buildings, 2003 All Buildings Using Electricity Electricity Consumption Electricity Expenditures Number of Buildings...

  12. Monitoring and Management of Refinery Energy Consumption

    E-Print Network [OSTI]

    Pelham, R. O.; Moriarty, R. D.; Hudgens, P. D.

    MONITORING AND MANAGEMENT OF REFINERY ENERGY CONSUMPTION Roger O. Pelham Richard D. Moriarty Patrie D. Hudgens Profimatics, Inc. Thousand Oaks, California ABSTRACT Since 1972, the u.s. refining industry has made much progress in reduci... ng energy consumption. Lately, falling energy prices have de-emphasized the need to appropriate new capital for additional energy conservation projects. One area neglected in most refineries is the need to monitor and man age the daily use...

  13. Energy Information Administration (EIA)- Manufacturing Energy Consumption

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7, 199930,ConsumptionSurvey (MECS)

  14. Energy Information Administration (EIA)- Manufacturing Energy Consumption

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7, 199930,ConsumptionSurvey

  15. Changing patterns of world energy consumption

    SciTech Connect (OSTI)

    Todd, S.H.

    1983-08-01T23:59:59.000Z

    The substantial increases in oil prices since 1973 have had tremendous impacts on world energy, and particularly on oil consumption. These impacts have varied across regions and energy types. As shown in a table, from 1960 through 1973 the real price of internationally traded crude oil, as measured in constant US dollars, changed very little. In this stable oil price environment, Free World energy consumption grew at 5.3% per year and oil use rose at 7.5% per year, increasing its share of Free World energy consumption from 43 to 56%. 6 tables.

  16. analytical energy forecasting: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    COMMISSION Tom Gorin Lynn Marshall Principal Author Tom Gorin Project 11 Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Computer Technologies and...

  17. Today's Forecast: Improved Wind Predictions | Department of Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind...

  18. Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at wind energy sites are becoming paramount. Regime-switching space-time (RST) models merge meteorological forecast regimes at the wind energy site and fits a conditional predictive model for each regime

  19. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06T23:59:59.000Z

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  20. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    end-use Residential primary energy consumption was 6.6 EJ inof primary energy. Primary energy consumption includes final14 Residential Primary Energy Consumption by Fuel (with

  1. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  2. 2005 Residential Energy Consumption Survey

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, Reference

  3. Research on Building Energy Consumption Situation in Shanghai

    E-Print Network [OSTI]

    Yang, X.; Tan, H.

    2006-01-01T23:59:59.000Z

    This paper surveys the present situation of building energy consumption in Shanghai and points out the problems of insufficient energy consumption statistics based on the survey data. We analyze the relationships of energy consumption between...

  4. Uncertainties in Energy Consumption Introduced by Building Operations and

    E-Print Network [OSTI]

    Uncertainties in Energy Consumption Introduced by Building Operations and Weather for a Medium between predicted and actual building energy consumption can be attributed to uncertainties introduced in energy consumption due to actual weather and building operational practices, using a simulation

  5. Using occupancy to reduce energy consumption of buildings

    E-Print Network [OSTI]

    Balaji, Bharathan

    2011-01-01T23:59:59.000Z

    Meter allows us to study the energy consumption patterns onThis allows us to study the energy consumption of individualgives us a good framework to study the energy consumption

  6. Increasing Underwater Vehicle Autonomy by Reducing Energy Consumption

    E-Print Network [OSTI]

    Chyba, Monique

    : Autonomous Underwater Vehicle, Minimum Energy Consumption, Optimal Control, Experiments. 1 IntroductionIncreasing Underwater Vehicle Autonomy by Reducing Energy Consumption M. Chybaa , T. Haberkornd , S, we concern ourselves with finding a control strategy that minimizes energy consumption along

  7. 2005 Residential Energy Consumption Survey

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, Reference case,A5.On-HighwayDAD

  8. 2005 Residential Energy Consumption Survey

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, Reference case,A5.On-HighwayDADE

  9. 2005 Residential Energy Consumption Survey

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, ReferenceG (2005) - Household

  10. Comparison of Real World Energy Consumption to Models and DOE...

    Broader source: Energy.gov (indexed) [DOE]

    Comparison of Real World Energy Consumption to Models and DOE Test Procedures Comparison of Real World Energy Consumption to Models and DOE Test Procedures This study investigates...

  11. Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer ...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Preliminary measured drying time of fabric sample using ultrasonic...

  12. Power to the Plug: An Introduction to Energy, Electricity, Consumption...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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

  13. New Water Booster Pump System Reduces Energy Consumption by 80...

    Broader source: Energy.gov (indexed) [DOE]

    Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases...

  14. Energy: a historical perspective and 21st century forecast

    SciTech Connect (OSTI)

    Salvador, Amos [University of Texas, Austin, TX (United States)

    2005-07-01T23:59:59.000Z

    Contents are: Preface; Chapter 1: introduction, brief history, and chosen approach; Chapter 2: human population and energy consumption: the future; Chapter 4: sources of energy (including a section on coal); Chapter 5: electricity: generation and consumption; and Chapter 6: energy consumption and probable energy sources during the 21st century.

  15. Energy Information Administration - Energy Efficiency, energy consumption

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998Information Administration &1995 End-Usesavings

  16. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    of Commercial Building Energy Consumption in China, 2008,The China Residential Energy Consumption Survey, Human andcan be measured using energy consumption per capita values.

  17. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    of Commercial Building Energy Consumption in China, 2008,The China Residential Energy Consumption Survey, Human andfor Residential Energy Consumption in China Nan Zhou,

  18. Public perceptions of energy consumption and savings

    E-Print Network [OSTI]

    Kammen, Daniel M.

    on Environmental Decisions, Columbia University, New York, NY 10027; b Department of Psychology, Ohio StatePublic perceptions of energy consumption and savings Shahzeen Z. Attaria,1 , Michael L. De February 12, 2010) In a national online survey, 505 participants reported their percep- tions of energy

  19. Solar Energy Market Forecast | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g GrantAtlas (PACA Region - France) Jump to:Energy

  20. Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables

    Broader source: Energy.gov [DOE]

    Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building Energy Consumption Survey.

  1. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team: Kay Smith, Russ Tarver,Switching <1 Energy

  2. One of These Homes is Not Like the Other: Residential Energy Consumption Variability

    E-Print Network [OSTI]

    Kelsven, Phillip

    2013-01-01T23:59:59.000Z

    consumption. Total energy consumption (in thousand BTUs) waselectricity and total energy consumption. Because all homesin gas, electric, and total energy consumption. Removing

  3. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0

  4. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0 S ˆ Y M n

  5. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0 S ˆ Y M

  6. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0 S ˆ Y ME

  7. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0 S ˆ Y

  8. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0 S ˆ

  9. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0 S ˆ3

  10. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0 S

  11. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0 SDetailed

  12. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.0

  13. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.00. Number

  14. Manufacturing Consumption of Energy 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342CubicSep-140.0 0.0 0.0 0.00.

  15. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A How the

  16. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A How

  17. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A How.

  18. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A

  19. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A. Vehicle

  20. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A. Vehicle

  1. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A. Vehicle

  2. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A.

  3. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A.Detailed

  4. Household Vehicles Energy Consumption 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A.DetailedW

  5. 2014 Manufacturing Energy Consumption Survey

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011 Mon, Next ReleaseEFRC NEESShockOpticsNIFU S C E N

  6. Manufacturing Consumption of Energy 1994

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643NorwayBase480 530 525: PercentageThousandThousandSurvey S ˆE1

  7. Wind Energy Technology Trends: Comparing and Contrasting Recent Cost and Performance Forecasts (Poster)

    SciTech Connect (OSTI)

    Lantz, E.; Hand, M.

    2010-05-01T23:59:59.000Z

    Poster depicts wind energy technology trends, comparing and contrasting recent cost and performance forecasts.

  8. Understanding energy consumption: Beyond technology and economics

    SciTech Connect (OSTI)

    Wilhite, H.; Shove, E.

    1998-07-01T23:59:59.000Z

    This paper summarizes two years of efforts among a cross-disciplinary group of senior researchers to bring social and cultural perspectives to modeling of household energy consumption. The work has been organized by the Center for Energy Studies of the University of Geneva. The researchers represent both the physical and social sciences, several institutions and a number of countries. The initiative was based on an acknowledgement of the failure of technical and economic models to explain consumption or more importantly, how consumption patterns change. Technical and economic models most often either ignore social and cultural issues or reduce them to parameters of other variables. An important objective for the Geneva Group has been to engage modelers and social scientists in a dialogue which brings social and cultural context to the fore. The process reveals interesting insights into the frictions of cross-disciplinary interaction and the emergence of new perspectives. Various classical modeling approaches have been discussed and rejected. Gradually, a framework has emerged which says something about the appropriate institutions and actors which contribute to consumption patterns; about how they are related; and finally about how the interinstitutional relationships and the consumption patterns themselves change. A key point of convergence is that a complete understanding of energy end-use will not be possible from an analysis directed at the point of end use alone. The analysis must incorporate what happens inside institutions like manufacturers, retailers, and public policy organizations as well as how those organizations interact with consumers, including media and advertising. Progress towards a better understanding of energy consumption requires a greater engagement of social scientists with these heretofore little explored actors an relationships.

  9. A model for Long-term Industrial Energy Forecasting (LIEF)

    SciTech Connect (OSTI)

    Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

    1992-02-01T23:59:59.000Z

    The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

  10. A model for Long-term Industrial Energy Forecasting (LIEF)

    SciTech Connect (OSTI)

    Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

    1992-02-01T23:59:59.000Z

    The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

  11. SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS

    E-Print Network [OSTI]

    Heinemann, Detlev

    SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS Detlev Heinemann Oldenburg.girodo@uni-oldenburg.de ABSTRACT Solar energy is expected to contribute major shares of the future global energy supply. Due to its and solar energy conversion processes has to account for this behaviour in respective operating strategies

  12. STATEWIDE ENERGY EFFICIENCY POTENTIAL ESTIMATES AND TARGETS

    E-Print Network [OSTI]

    rates of forecasted natural gas consumption, electricity consumption and peak electricity demand potential for electric consumption savings, 85 percent of the economic potential for peak demand savings Energy efficiency, energy savings, demand reduction, electricity consumption, natural gas consumption

  13. Characterizing System Level Energy Consumption in Mobile Computing Platforms

    E-Print Network [OSTI]

    Obraczka, Katia

    1 Characterizing System Level Energy Consumption in Mobile Computing Platforms Cintia B. Margi 1156 High Street Santa Cruz, CA 95064 Abstract--- This paper approaches energy consumption charac terization in mobile computing platforms by assessing energy con sumption of ''basic'' application

  14. Modelling the impact of user behaviour on heat energy consumption

    E-Print Network [OSTI]

    Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

    2011-01-01T23:59:59.000Z

    real-world thermostat settings and heat energy consumptionto real-world behaviours. The actual energy consumption goesworld data indicates that the houses heated during the night had higher annual heat energy consumption.

  15. Evaluating Texas State University Energy Consumption According to Productivity

    E-Print Network [OSTI]

    Carnes, D.; Hunn, B. D.; Jones, J. W.

    1998-01-01T23:59:59.000Z

    The Energy Utilization Index, energy consumption per square foot of floor area, is the most commonly used index of building energy consumption. However, a building or facility exists solely to support the activities of its occupants. Floor area...

  16. Energy Consumption Characteriation of Heterogeneous Servers School of Computer Science

    E-Print Network [OSTI]

    Qin, Xiao

    Energy Consumption Characteriation of Heterogeneous Servers Xiao Zhang School of Computer Science Machine between servers to save energy. An accurate energy consumption model is the basic of energy management. Most past studies show that energy consumption has linear relation with resource utilization. We

  17. Electrical energy consumption control apparatuses and electrical energy consumption control methods

    DOE Patents [OSTI]

    Hammerstrom, Donald J.

    2012-09-04T23:59:59.000Z

    Electrical energy consumption control apparatuses and electrical energy consumption control methods are described. According to one aspect, an electrical energy consumption control apparatus includes processing circuitry configured to receive a signal which is indicative of current of electrical energy which is consumed by a plurality of loads at a site, to compare the signal which is indicative of current of electrical energy which is consumed by the plurality of loads at the site with a desired substantially sinusoidal waveform of current of electrical energy which is received at the site from an electrical power system, and to use the comparison to control an amount of the electrical energy which is consumed by at least one of the loads of the site.

  18. Leveraging Weather Forecasts in Renewable Energy Navin Sharmaa,

    E-Print Network [OSTI]

    Shenoy, Prashant

    Leveraging Weather Forecasts in Renewable Energy Systems Navin Sharmaa, , Jeremy Gummesonb , David, Binghamton, NY 13902 Abstract Systems that harvest environmental energy must carefully regulate their us- age to satisfy their demand. Regulating energy usage is challenging if a system's demands are not elastic, since

  19. Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems

    E-Print Network [OSTI]

    Shenoy, Prashant

    Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems Navin Sharma,gummeson,irwin,shenoy}@cs.umass.edu Abstract--To sustain perpetual operation, systems that harvest environmental energy must carefully regulate their usage to satisfy their demand. Regulating energy usage is challenging if a system's demands

  20. Short-Term Solar Energy Forecasting Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu an advantage for output power prediction. Solar Energy Prediction System Our prediction model is based variability of more then 100 kW per minute. For practical usage of solar energy, predicting times of high

  1. 2008 Erik Hinterbichler DESIGNING A BETTER ENERGY CONSUMPTION INDICATOR

    E-Print Network [OSTI]

    Karahalios, Karrie G.

    in which HCI can contribute to energy conservation is in interfaces for residential energy consumption on the effects of energy consumption feedback in the home. From this analysis, we created a theoretical framework© 2008 Erik Hinterbichler #12;DESIGNING A BETTER ENERGY CONSUMPTION INDICATOR INTERFACE

  2. On the Interplay of Parallelization, Program Performance, and Energy Consumption

    E-Print Network [OSTI]

    Marchal, Loris

    to either minimize the total energy consumption or minimize the energy-delay product. The impact of staticOn the Interplay of Parallelization, Program Performance, and Energy Consumption Sangyeun Cho through parallel execution of applications, suppressing the power and energy consumption remains an even

  3. Modeling energy consumption in cellular networks L. Decreusefond

    E-Print Network [OSTI]

    Boyer, Edmond

    Modeling energy consumption in cellular networks L. Decreusefond Telecom Paristech, LTCI Paris Abstract--In this paper we present a new analysis of energy consumption in cellular networks. We focus on the distribution of energy consumed by a base station for one isolated cell. We first define the energy consumption

  4. Hybrid Heuristics for Optimizing Energy Consumption in Embedded Systems

    E-Print Network [OSTI]

    Schott, René - Institut de Mathématiques ?lie Cartan, Université Henri Poincaré

    Hybrid Heuristics for Optimizing Energy Consumption in Embedded Systems Maha IDRISSI AOUAD1 , Ren to BEH). Keywords: Energy consumption reduction, Genetic algorithms, hybrid heuristics, memory allocation energy consumption of embedded systems is of great importance. To do so, numerous options to save energy

  5. On the Energy Consumption and Performance of Systems Software

    E-Print Network [OSTI]

    Stoller, Scott

    On the Energy Consumption and Performance of Systems Software Zhichao Li, Radu Grosu, Priya Sehgal {zhicli,grosu,psehgal,sas,stoller,ezk}@cs.stonybrook.edu ABSTRACT Models of energy consumption that can balance out performance and energy use. This paper considers the energy consumption

  6. Study of Air Infiltration Energy Consumption

    E-Print Network [OSTI]

    Liu, Mingsheng

    SYSTEMATIC ERROR DUE TO THE STEADY-STATE COMBINED MODELS 127 SIMULATION AND NUMERICAL RESULTS 141 APPLICATION 150 SUMMARy 157 METHODOLOGy 158 DIFFERENTIAL EQUATION 159 DISCRETIZATION OF THE DIFFERENTIAL EQUATION 161 EXTERNAL NODE EQUATIONS 164... temperature. Clearly, the room heater does not need to heat the air from the outside temperature to the room temperature because it has already captured part of the conduction heat flowing through the wall. To properly estimate house energy consumption...

  7. Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS

    E-Print Network [OSTI]

    Roop, J. M.; Dahowski, R. T

    Comparisons are made of energy forecasts using results from the Industrial module of the National Energy Modeling System (NEMS) and an industrial economic-engineering model called the Industrial Technology and Energy Modeling System (ITEMS), a model...

  8. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    18 Figure 6 Primary Energy Consumption by End-Use in24 Figure 7 Primary Energy Consumption by Fuel in Commercialbased on total primary energy consumption (source energy),

  9. TV Energy Consumption Trends and Energy-Efficiency Improvement Options

    E-Print Network [OSTI]

    Park, Won Young

    2011-01-01T23:59:59.000Z

    global and country-specific estimates of total energyglobal and country-specific estimates of total energytotal global electricity consumption is about 5,000 TWh 68 , the energy

  10. Potential impact of doubling atmospheric carbon dioxide on energy consumption in the US

    SciTech Connect (OSTI)

    Munoz, J.R.; Sailor, D.J. [Tulane Univ., New Orleans, LA (United States)

    1997-11-01T23:59:59.000Z

    This paper uses models of monthly electricity and natural gas per capita demand to forecast the effects of a global warming scenario. An extensive study of energy consumption sensitivity to climate in eight of the most energy intensive states of the US is briefly summarized. Models of statewide monthly per capita electricity consumption as a function of cooling degree days, heating degree days, enthalpy latent days and wind speed were developed. Similar models were developed for natural gas using temperature as the only independent variable. Population weighted statewide monthly cooling and heating degree days were calculated using the base climatic year and the general circulation model (GCM) predictions for California, Texas, New York, and Illinois. The expected changes were clearly dependent on the model chosen for the global warming forecast. The effects of the predicted changes in cooling degree days and heating degree days generated the typical saddle shape of the estimated changes in per capita electricity use. This is attributed to shifts from predominant heating requirements to predominant cooling requirements in certain months. The shape of the climatically induced decrease in natural gas consumption was expected and also highly dependent on the GCM chosen. It appears that per capita energy consumption could be affected significantly under global warming. Since heating and cooling are provided by different energy sources, there could be significant consequences for energy delivery systems. 8 refs., 2 figs.

  11. INCREASED FOOD AND ENERGY CONSUMPTION OF LACTATING NORTHERN FUR SEALS,

    E-Print Network [OSTI]

    respectively. Fish accounted for 66.4% of food biomass (69.4% of total energy consumption); squidINCREASED FOOD AND ENERGY CONSUMPTION OF LACTATING NORTHERN FUR SEALS, CALWRHINUS URSINUS MICHAEL A on ter- restrial mammals have specifically shown increased energy consumption by lactating females

  12. Energino: a Hardware and Software Solution for Energy Consumption Monitoring

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energino: a Hardware and Software Solution for Energy Consumption Monitoring Karina Gomez, Roberto.granelli@disi.unitn.it Abstract--Accurate measurement of energy consumption of practical wireless deployments is vital in the availability of affordable and scalable energy consumption monitoring tools for the research community

  13. On the Energy Consumption and Performance of Systems Software

    E-Print Network [OSTI]

    Zadok, Erez

    On the Energy Consumption and Performance of Systems Software Appears in the proceedings of the 4th,grosu,psehgal,sas,stoller,ezk}@cs.stonybrook.edu ABSTRACT Models of energy consumption and performance are necessary to understand and identify system. This paper considers the energy consumption and performance of servers running a relatively simple file

  14. Reducing the Energy Consumption of Mobile Applications Behind the Scenes

    E-Print Network [OSTI]

    Tilevich, Eli

    Reducing the Energy Consumption of Mobile Applications Behind the Scenes Young-Woo Kwon and Eli, an increasing number of perfective maintenance tasks are concerned with optimizing energy consumption. However, optimizing a mobile application to reduce its energy consumption is non-trivial due to the highly volatile

  15. GENETIC HEURISTICS FOR REDUCING MEMORY ENERGY CONSUMPTION IN EMBEDDED SYSTEMS

    E-Print Network [OSTI]

    Schott, René - Institut de Mathématiques ?lie Cartan, Université Henri Poincaré

    GENETIC HEURISTICS FOR REDUCING MEMORY ENERGY CONSUMPTION IN EMBEDDED SYSTEMS Maha IDRISSI AOUAD.loria.fr/zendra Keywords: Energy consumption reduction, Genetic heuristics, memory allocation management, optimizations on heuristic methods for SPMs careful management in order to reduce memory energy consumption. We propose

  16. Energy Consumption in Coded Queues for Wireless Information Exchange

    E-Print Network [OSTI]

    Boucherie, Richard J.

    Energy Consumption in Coded Queues for Wireless Information Exchange Jasper Goseling, Richard J customers. We use this relation to ob- tain bounds on the energy consumption in a wireless information, for example, from the observations in [3] that using network coding can reduce the energy consumption

  17. The Impact of Distributed Programming Abstractions on Application Energy Consumption

    E-Print Network [OSTI]

    Tilevich, Eli

    The Impact of Distributed Programming Abstractions on Application Energy Consumption Young-Woo Kwon of their energy consumption patterns. By varying the abstractions with the rest of the functionality fixed, we measure and analyze the impact of distributed programming abstractions on application energy consumption

  18. Optimization of Energy and Water Consumption in Cornbased Ethanol Plants

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimization of Energy and Water Consumption in Corn­based Ethanol Plants Elvis Ahmetovi). First, we review the major alternatives in the optimization of energy consumption and its impact for the water streams. We show that minimizing energy consumption leads to process water networks with minimum

  19. Optimizing Communication Energy Consumption in Perpetual Wireless Nanosensor Networks

    E-Print Network [OSTI]

    Weigle, Michele

    Optimizing Communication Energy Consumption in Perpetual Wireless Nanosensor Networks Shahram}@cs.odu.edu Abstract--This paper investigates the effect of various param- eters of energy consumption. Finding the optimum combination of parameters to minimize energy consumption while satisfying the Qo

  20. Automated Analysis of Performance and Energy Consumption for Cloud Applications

    E-Print Network [OSTI]

    Schneider, Jean-Guy

    Automated Analysis of Performance and Energy Consumption for Cloud Applications Feifei Chen, John providers is thus to develop resource provisioning and management solutions at minimum energy consumption system performance and energy consumption patterns in complex cloud systems is imperative to achieve

  1. Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization

    E-Print Network [OSTI]

    Poovendran, Radha

    Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization Sidharth Nabar energy consumption while limiting the latency in data transfer. In this paper, we focus on polling energy consumption and latency. We show that this problem can be posed as a geometric program, which

  2. Integrating agricultural pest biocontrol into forecasts of energy biomass production

    E-Print Network [OSTI]

    Gratton, Claudio

    Analysis Integrating agricultural pest biocontrol into forecasts of energy biomass production T), University of Lome, 114 Rue Agbalepedogan, BP: 20679, Lome, Togo e Center for Agricultural & Energy Policy model of potential biomass supply that incorporates the effect of biological control on crop choice

  3. Exploiting weather forecasts for sizing photovoltaic energy bids

    E-Print Network [OSTI]

    Giannitrapani, Antonello

    1 Exploiting weather forecasts for sizing photovoltaic energy bids Antonio Giannitrapani, Simone for a photovoltaic (PV) power producer taking part into a competitive electricity market characterized by financial set from an Italian PV plant. Index Terms--Energy market, bidding strategy, photovoltaic power

  4. Window-Related Energy Consumption in the US Residential and Commercial Building Stock

    E-Print Network [OSTI]

    Apte, Joshua; Arasteh, Dariush

    2008-01-01T23:59:59.000Z

    2001). "Residential Energy Consumption Survey." 2006, fromCommercial Building Energy Consumption Survey." from http://Total Building Energy Consumption (Trillion BTU/yr) Area,

  5. Cost and Energy Consumption Optimization of Product Manufacture in a Flexible Manufacturing System

    E-Print Network [OSTI]

    Diaz, Nancy; Dornfeld, David

    2012-01-01T23:59:59.000Z

    Selection for Energy Consumption Reduction in Machining,Dornfeld, D. (2011): Energy Consumption Characterization and2011): Unit Process Energy Consumption Models for Material

  6. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    ABORATORY Estimating Total Energy Consumption and Emissionscomponent of Chinas total energy consumption mix. However,about 19% of Chinas total energy consumption, while others

  7. Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

    2012-01-01T23:59:59.000Z

    combination of the total energy consumption and the peakalso reduces the total energy consumption of the occupancyTotal and Peak Energy Consumption Minimization of Building

  8. Window-Related Energy Consumption in the US Residential and Commercial Building Stock

    E-Print Network [OSTI]

    Apte, Joshua; Arasteh, Dariush

    2008-01-01T23:59:59.000Z

    the fraction of total energy consumption attributable toFraction of Total Energy Consumption Background Although thewindow fraction of total energy consumption. We believe that

  9. Video game console usage and national energy consumption: Results from a field-metering study

    E-Print Network [OSTI]

    Desroches, Louis-Benoit

    2013-01-01T23:59:59.000Z

    about half of the total energy consumption from Wii consolescan estimate total national energy consumption due to videoof on mode energy consumption to the total AEC. For most

  10. ResPoNSe: modeling the wide variability of residential energy consumption.

    E-Print Network [OSTI]

    Peffer, Therese; Burke, William; Auslander, David

    2010-01-01T23:59:59.000Z

    affect appliance energy consumption. For example, differentStates, 2005 Residential Energy Consumption Survey: HousingModeling of End-Use Energy Consumption in the Residential

  11. Window-Related Energy Consumption in the US Residential and Commercial Building Stock

    E-Print Network [OSTI]

    Apte, Joshua; Arasteh, Dariush

    2008-01-01T23:59:59.000Z

    2001). "Residential Energy Consumption Survey." 2006, fromCommercial Building Energy Consumption Survey." from http://Scale window-related energy consumption to account for new

  12. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    Estimating Total Energy Consumption and Emissions of Chinasof Chinas total energy consumption mix. However, accuratelyof Chinas total energy consumption, while others estimate

  13. Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas J

    2014-01-01T23:59:59.000Z

    on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

  14. The Impact of Residential Density on Vehicle Usage and Energy Consumption

    E-Print Network [OSTI]

    Golob, Thomas F.; Brownstone, David

    2005-01-01T23:59:59.000Z

    Vehicle Usage and Energy Consumption Table 2 Housing Unitsresidential vehicular energy consumption is graphed as aon Vehicle Usage and Energy Consumption with vehicles, but

  15. Energy Consumption Scheduling in Smart Grid:A Non-Cooperative Game Approach

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01T23:59:59.000Z

    on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

  16. One of These Homes is Not Like the Other: Residential Energy Consumption Variability

    E-Print Network [OSTI]

    Kelsven, Phillip

    2013-01-01T23:59:59.000Z

    the total annual energy consumption. The behavior patternsin total residential energy consumption per home, even whenthe variability in energy consumption can vary by factors of

  17. Energy Consumption, Efficiency, Conservation, and Greenhouse Gas Mitigation in Japan's Building Sector

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    comparison o f energy consumption i n housing (1998) (Trends i n household energy consumption (Jyukankyo Research4) Average (N=2976) Energy consumption [GJ / household-year

  18. Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01T23:59:59.000Z

    on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

  19. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    The China Residential Energy Consumption Survey, Human andof Residential Building Energy Consumption in China Nan ZhouResidential Building Energy Consumption in China Nan Zhou*,

  20. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    liters Figure 7 Primary Energy Consumption (EJ) Refrigeratorby Efficiency Class Primary Energy Consumption (EJ) Figure 8by Fuel Figure 1 Primary Energy Consumption by End-use)

  1. Fossil Fuel-Generated Energy Consumption Reduction for New Federal...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings OIRA Comparison Document Fossil Fuel-Generated Energy...

  2. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

  3. Today in Energy - commercial consumption & efficiency

    Reports and Publications (EIA)

    2028-01-01T23:59:59.000Z

    Short, timely articles with graphs about recent commercial consumption and efficiency issues and trends.

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

    SciTech Connect (OSTI)

    Not Available

    1993-09-24T23:59:59.000Z

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

  5. Residential Energy Consumption Survey (RECS) - Energy Information

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearch Welcome toResearch AreasResearch Gene OdumToAdministration

  6. Energy Information Administration - Transportation Energy Consumption by

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,

  7. Energy Preview: Residential Transportation Energy Consumption Survey,

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 15t

  8. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand19952003

  9. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand199520032003

  10. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional

  11. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed Tables A.

  12. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed Tables

  13. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed

  14. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed2003 Detailed

  15. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed2003

  16. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed20032003

  17. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003 Detailed200320032003

  18. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003

  19. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003 Detailed

  20. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003 Detailed2003

  1. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003 Detailed20032003

  2. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003

  3. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional200320032003 Detailed

  4. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional200320032003 Detailed2003

  5. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional200320032003

  6. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003200320032003 Detailed

  7. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional2003200320032003

  8. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional20032003200320032003

  9. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional200320032003200320032003

  10. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237

  11. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables 2A. Electricity

  12. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables 2A.

  13. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables 2A.2003 Detailed

  14. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables 2A.2003

  15. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables 2A.20032003

  16. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables 2A.200320032003

  17. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables

  18. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables2003 Detailed

  19. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables2003 Detailed2003

  20. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables2003

  1. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables20032003 Detailed

  2. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables20032003

  3. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables200320032003

  4. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed Tables2003200320032003

  5. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed

  6. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003 Detailed Tables 7A.

  7. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003 Detailed Tables

  8. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003 Detailed Tables2003

  9. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003 Detailed

  10. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003 Detailed2003 Detailed

  11. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003 Detailed2003

  12. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003 Detailed20032003

  13. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003 Detailed200320032003

  14. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed2003

  15. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed20032003 Detailed Tables

  16. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed20032003 Detailed

  17. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed20032003 Detailed2003

  18. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed20032003 Detailed20032003

  19. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed20032003

  20. Energy Information Administration - Commercial Energy Consumption Survey-

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003 Detailed200320032003 Detailed

  1. The Analysis and Assessment on Heating Energy Consumption of SAT

    E-Print Network [OSTI]

    Zhang, J.

    2006-01-01T23:59:59.000Z

    The article introduced the fuel-energy consumption and outdoor temperatures of three heating terms from year 1999 to 2002 of SAT's fuel-boiler heating system. It demonstrated the relationship between the consumption and the temperatures by using...

  2. Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    1 Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids Yogesh Simmhan, prasanna}@usc.edu I. INTRODUCTION Smart Power Grids exemplify an emerging class of Cyber Physical-on paradigm to support operational needs. Smart Grids are an outcome of instrumentation, such as Phasor

  3. California Energy Commission DRAFT STAFF REPORT

    E-Print Network [OSTI]

    FOR ELECTRICITY DEMAND FORECASTS Prepared in Support of the 2013 Integrated Energy Policy. The information relates to electricity demand forecasts, demand-side management and energy efficiency impacts-2012. Keywords: Electricity demand, consumption, forecast, peak, self-generation, conservation, demand

  4. Solar Adoption and Energy Consumption in the Residential Sector

    E-Print Network [OSTI]

    McAllister, Joseph Andrew

    2012-01-01T23:59:59.000Z

    solar systems and energy efficiency and conservationEnergy Tax Act encouraged homeowners to invest in energy conservation and solarenergy consumption patterns: that some adopters of solar will thereafter become adopters of energy conservation

  5. China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China

    E-Print Network [OSTI]

    Price, Lynn

    2008-01-01T23:59:59.000Z

    Monitoring of Direct Energy Consumption in Long-Term2007. Constraining Energy Consumption of Chinas LargestProgram: Reducing Energy Consumption of the 1000 Largest

  6. The Reality and Future Scenarios of Commercial Building Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2008-01-01T23:59:59.000Z

    the total primary energy consumption in 2000. Furthermore,The Commercial Primary Energy Consumption by Sector GDP

  7. Adapting state and national electricity consumption forecasting methods to utility service areas. Final report

    SciTech Connect (OSTI)

    Swift, M.A.

    1984-07-01T23:59:59.000Z

    This report summarizes the experiences of six utilities (Florida Power and Light Co., Municipal Electric Authority of Georgia, Philadelphia Electric Co., Public Service Co. of Colorado, Sacramento Municipal Utility District, and TVA) in adapting to their service territories models that were developed for forecasting loads on a national or regional basis. The models examined were of both end-use and econometric design and included the three major customer classes: residential, commercial, and industrial.

  8. DOE/EIA-0321/HRIf Residential Energy Consumption Survey. Consumption

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9, 2015Year109 AppendixCosts ofMarch2Q)4(82) Residential/HRIf

  9. DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9, 2015Year109 AppendixCosts ofMarch2Q)4(82)6)k DOETEIAO32l/2

  10. Solar Adoption and Energy Consumption in the Residential Sector.

    E-Print Network [OSTI]

    McAllister, Joseph Andrew

    2012-01-01T23:59:59.000Z

    ??This dissertation analyzes the energy consumption behavior of residential adopters of solar photovoltaic systems (solar-PV). Based on large data sets from the San Diego region (more)

  11. On Minimizing the Energy Consumption of an Electrical Vehicle

    E-Print Network [OSTI]

    Abdelkader Merakeb

    2011-04-20T23:59:59.000Z

    Apr 20, 2011 ... The problem that we focus on, is the minimization of the energy consumption of an electrical vehicle achievable on a given driving cycle.

  12. Pantex installs new meters to help to reduce energy consumption...

    National Nuclear Security Administration (NNSA)

    installs new meters to help to reduce energy consumption | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile...

  13. Modelling the impact of user behaviour on heat energy consumption

    E-Print Network [OSTI]

    Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

    2011-01-01T23:59:59.000Z

    come from space heating within homes (Boardman, 2007). If weassociated with heating the home must be an imperative. Theheating and hot water energy consumption of the homes (Zack

  14. Long-term energy consumptions of urban transportation: A prospective...

    Open Energy Info (EERE)

    Bangalore can significantly curb the trajectories of energy consumption and the ensuing carbon dioxide emissions, if and only if they are implemented in the framework of...

  15. Bounds on the Energy Consumption of Computational Andrew Gearhart

    E-Print Network [OSTI]

    California at Berkeley, University of

    Bounds on the Energy Consumption of Computational Kernels Andrew Gearhart Electrical Engineering Fall 2014 #12;Bounds on the Energy Consumption of Computational Kernels Copyright 2014 by Andrew Scott, little consideration was given to the potential energy efficiency of algorithms them- selves. A dominant

  16. Balancing Image Quality and Energy Consumption in Visual Sensor Networks

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    Balancing Image Quality and Energy Consumption in Visual Sensor Networks Kit-Yee Chow, King by hop through the sensor network. To reduce the energy used in transmission, the size of the images studies the tradeoff between image quality and energy consumption. We study the scenario that a number

  17. Characterizing System Level Energy Consumption in Mobile Computing Platforms

    E-Print Network [OSTI]

    Obraczka, Katia

    1 Characterizing System Level Energy Consumption in Mobile Computing Platforms Cintia B. Margi 1156 High Street Santa Cruz, CA 95064 Abstract-- This paper approaches energy consumption charac- terization in mobile computing platforms by assessing energy con- sumption of "basic" application-level tasks

  18. Statistical Mechanics of Money, Income, Debt, and Energy Consumption

    E-Print Network [OSTI]

    Hill, Wendell T.

    Statistical Mechanics of Money, Income, Debt, and Energy Consumption Physics Colloquium Presented in financial markets. Globally, data analysis of energy consumption per capita around the world shows@american.edu Similarly to the probability distribution of energy in physics, the probability distribution of money among

  19. Tuning Fuzzy Logic Controllers for Energy Efficiency Consumption in Buildings

    E-Print Network [OSTI]

    Casillas Barranquero, Jorge

    - tems 1 Introduction In EU countries, primary energy consumption in build- ings represents about 40Tuning Fuzzy Logic Controllers for Energy Efficiency Consumption in Buildings R. Alcal´a DECSAI 18071 ­ Granada, Spain e-mail: A.Gonzalez@decsai.ugr.es Abstract In EU countries, primary energy consump

  20. GreenSlot: Scheduling Energy Consumption in Green Datacenters

    E-Print Network [OSTI]

    GreenSlot: Scheduling Energy Consumption in Green Datacenters Íñigo Goiri UPC/BSC and Rutgers Univ grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meet- ing the jobs

  1. Reducing Network Energy Consumption via Sleeping and Rate-Adaptation

    E-Print Network [OSTI]

    California at Irvine, University of

    Reducing Network Energy Consumption via Sleeping and Rate-Adaptation Sergiu Nedevschi Lucian Popa of two forms of power management schemes that reduce the energy consumption of networks. The first the energy consumed when actively processing packets. For real-world traffic workloads and topologies and us

  2. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect (OSTI)

    Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

    2011-03-28T23:59:59.000Z

    Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

  3. Weather forecast-based optimization of integrated energy systems.

    SciTech Connect (OSTI)

    Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

    2009-03-01T23:59:59.000Z

    In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

  4. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    SciTech Connect (OSTI)

    Zhou, Nan; McNeil, Michael A.; Levine, Mark

    2009-06-01T23:59:59.000Z

    China's rapid economic expansion has propelled it to the rank of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modelling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities. From this analysis, we can conclude that Chinese residential energy consumption will more than double by 2020, from 6.6 EJ in 2000 to 15.9 EJ in 2020. This increase will be driven primarily by urbanization, in combination with increases in living standards. In the urban and higher income Chinese households of the future, most major appliances will be common, and heated and cooled areas will grow on average. These shifts will offset the relatively modest efficiency gains expected according to current government plans and policies already in place. Therefore, levelling and reduction of growth in residential energy demand in China will require a new set of more aggressive efficiency policies.

  5. Long-term Industrial Energy Forecasting (LIEF) model (18-sector version)

    SciTech Connect (OSTI)

    Ross, M.H. (Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Physics); Thimmapuram, P.; Fisher, R.E.; Maciorowski, W. (Argonne National Lab., IL (United States))

    1993-05-01T23:59:59.000Z

    The new 18-sector Long-term Industrial Energy Forecasting (LIEF) model is designed for convenient study of future industrial energy consumption, taking into account the composition of production, energy prices, and certain kinds of policy initiatives. Electricity and aggregate fossil fuels are modeled. Changes in energy intensity in each sector are driven by autonomous technological improvement (price-independent trend), the opportunity for energy-price-sensitive improvements, energy price expectations, and investment behavior. Although this decision-making framework involves more variables than the simplest econometric models, it enables direct comparison of an econometric approach with conservation supply curves from detailed engineering analysis. It also permits explicit consideration of a variety of policy approaches other than price manipulation. The model is tested in terms of historical data for nine manufacturing sectors, and parameters are determined for forecasting purposes. Relatively uniform and satisfactory parameters are obtained from this analysis. In this report, LIEF is also applied to create base-case and demand-side management scenarios to briefly illustrate modeling procedures and outputs.

  6. Three Essays on Energy Economics and Forecasting

    E-Print Network [OSTI]

    Shin, Yoon Sung

    2012-02-14T23:59:59.000Z

    This dissertation contains three independent essays relating energy economics. The first essay investigates price asymmetry of diesel in South Korea by using the error correction model. Analyzing weekly market prices in the pass-through of crude oil...

  7. Fact #792: August 12, 2013 Energy Consumption by Sector and Energy...

    Broader source: Energy.gov (indexed) [DOE]

    2: August 12, 2013 Energy Consumption by Sector and Energy Source, 1982 and 2012 Fact 792: August 12, 2013 Energy Consumption by Sector and Energy Source, 1982 and 2012 In the...

  8. An Energy and Power Consumption Analysis of FPGA Routing Architectures

    E-Print Network [OSTI]

    Wilton, Steve

    An Energy and Power Consumption Analysis of FPGA Routing Architectures Peter Jamieson, Elec of energy and power consumption using an updated power estimation framework compatible with VPR 5.0. The goal of this research is to help FPGA vendors find the best FPGA architectures. Initially, we make some

  9. Modular Exponentiation Algorithm Analysis for Energy Consumption and Performance

    E-Print Network [OSTI]

    Zhong, Lin

    Modular Exponentiation Algorithm Analysis for Energy Consumption and Performance Lin Zhong lzhong of their complexity, parallelism and latency. Insights are found for tradeoff between energy consumption of a tree structure. For example, Figure 1.3 shows to add 5 k-bit integers together in a tree sequence. It

  10. Exposing Datapath Elements to Reduce Microprocessor Energy Consumption

    E-Print Network [OSTI]

    to Reduce Microprocessor Energy Consumption by Mark Jerome Hampton Submitted to the Department of ElectricalExposing Datapath Elements to Reduce Microprocessor Energy Consumption by Mark Jerome Hampton B Submitted to the Department of Electrical Engineering and Computer Science in partial ful llment

  11. Smoothing the Energy Consumption: Peak Demand Reduction in Smart Grid

    E-Print Network [OSTI]

    Li, Xiang-Yang

    for autonomous demand side management within one house. The DRS devices are able to sense and control the peak energy consumption or demand. We assume that several appliances within one building access to oneSmoothing the Energy Consumption: Peak Demand Reduction in Smart Grid Shaojie Tang , Qiuyuan Huang

  12. Input Substitution and Business Energy Consumption: Evidence from ABS Energy Survey Data

    E-Print Network [OSTI]

    1 Input Substitution and Business Energy Consumption: Evidence from ABS Energy Survey Data Kay Cao applies the system of equations approach to energy consumption modelling using the ABS 2008-09 Energy of equations, energy consumption modelling, elasticity of substitution JEL codes: C51, D24 * Please do

  13. Energy Consumption Reduction with Low Computational Needs in Multicore Systems with Energy-Performance Tradeoff

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy Consumption Reduction with Low Computational Needs in Multicore Systems with Energy rules) in order to decrease the energy consumption. We proposed in a previous paper a robust control of the energy consumption. I. INTRODUCTION An energy-performance tradeoff is required in many em- bedded

  14. Probabilistic wind power forecasting -European Wind Energy Conference -Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Probabilistic wind power forecasting - European Wind Energy Conference - Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting based on kernel density estimators J´er´emie Juban jeremie.juban@ensmp.fr; georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting tools

  15. Development of Energy Consumption Database Management System of Existing Large Public Buildings

    E-Print Network [OSTI]

    Li, Y.; Zhang, J.; Sun, D.

    2006-01-01T23:59:59.000Z

    The statistic data of energy consumption are the base of analyzing energy consumption. The scientific management method of energy consumption data and the development of database management system plays an important role in building energy...

  16. TV Energy Consumption Trends and Energy-Efficiency Improvement Options

    E-Print Network [OSTI]

    Park, Won Young

    2011-01-01T23:59:59.000Z

    Trend and Forecast LG Electronics, October. http://TV model in 2007, and LG Electronics launched a 15-inch (two Korean manufacturers, LG Electronics and Samsung, also

  17. China's Industrial Energy Consumption Trends and Impacts of the Top-1000 Enterprises Energy-Saving Program and the Ten Key Energy-Saving Projects

    E-Print Network [OSTI]

    Ke, Jing

    2014-01-01T23:59:59.000Z

    Choices, and Energy Consumption. Praeger Publishers,The decomposition effect of energy consumption in China'sThe challenge of reducing energy consumption of the Top-1000

  18. Monitoring and optimization of energy consumption of base transceiver stations

    E-Print Network [OSTI]

    Spagnuolo, Antonio; Vetromile, Carmela; Formosi, Roberto; Lubritto, Carmine

    2015-01-01T23:59:59.000Z

    The growth and development of the mobile phone network has led to an increased demand for energy by the telecommunications sector, with a noticeable impact on the environment. Monitoring of energy consumption is a great tool for understanding how to better manage this consumption and find the best strategy to adopt in order to maximize reduction of unnecessary usage of electricity. This paper reports on a monitoring campaign performed on six Base Transceiver Stations (BSs) located central Italy, with different technology, typology and technical characteristics. The study focuses on monitoring energy consumption and environmental parameters (temperature, noise, and global radiation), linking energy consumption with the load of telephone traffic and with the air conditioning functions used to cool the transmission equipment. Moreover, using experimental data collected, it is shown, with a Monte Carlo simulation based on power saving features, how the BS monitored could save energy.

  19. Instrumenting Linear Algebra Energy Consumption via On-chip Energy Counters

    E-Print Network [OSTI]

    California at Berkeley, University of

    Instrumenting Linear Algebra Energy Consumption via On-chip Energy Counters James Demmel Andrew to lists, requires prior specific permission. #12;Instrumenting linear algebra energy consumption via on consumption is still a prevalent and growing problem within the computing sector. To evaluate energy

  20. EnergyBox: A Trace-driven Tool for Data Transmission Energy Consumption Studies

    E-Print Network [OSTI]

    EnergyBox: A Trace-driven Tool for Data Transmission Energy Consumption Studies Ekhiotz Jon Vergara-awareness and propose EnergyBox, a tool that provides accurate and repeatable en- ergy consumption studies for 3G and WiFi transmissions at the user end. We recognize that the energy consumption of data transmission is highly

  1. Energy consumption testing of innovative refrigerator-freezers

    SciTech Connect (OSTI)

    Wong, M.T.; Howell, B.T.; Jones, W.R. [Ontario Hydro Technologies, Toronto, Ontario (Canada); Long, D.L. [Statistical Solutions, Mississauga, Ontario (Canada)

    1995-12-31T23:59:59.000Z

    The high ambient temperature of the Canadian Standards Association (CSA) and the AHAM/DOE Refrigerator-Freezer Energy Consumption Standards is intended to compensate for the lack of door openings and other heat loads. Recently published results by Meier and Jansky (1993) indicate labeled consumption overpredicting typical field consumption by 15%. In-house field studies on conventional models showed labeled consumption overpredicting by about 22%. The Refrigerator-Freezer Technology Assessment (RFTA) test was developed to more accurately predict field consumption. This test has ambient temperature and humidity, door openings, and condensation control set at levels intended to typify Canadian household conditions. It also assesses consumption at exactly defined compartment rating temperatures. Ten conventional and energy-efficient production models were laboratory tested. The RFTA results were about 30% lower than labeled. Similarly, the four innovative refrigerator-freezer models, when field tested, also had an average of 30% lower consumption than labeled. Thus, the results of the limited testing suggest that the RFTA test may be a more accurate predictor of field use. Further testing with a larger sample is recommended. Experimental results also indicated that some innovative models could save up to 50% of the energy consumption compared with similar conventional units. The technologies that contributed to this performance included dual compressors, more efficient compressors and fan motors, off-state refrigerant control valve, fuzzy logic control, and thicker insulation. The larger savings were on limited production models, for which additional production engineering is required for full marketability.

  2. BURNING BURIED SUNSHINE: HUMAN CONSUMPTION OF ANCIENT SOLAR ENERGY

    E-Print Network [OSTI]

    Dukes, Jeffrey

    BURNING BURIED SUNSHINE: HUMAN CONSUMPTION OF ANCIENT SOLAR ENERGY JEFFREY S. DUKES Department of as a vast store of solar energy from which society meets >80% of its current energy needs. Here, using of ancient solar energy decline, humans are likely to use an increasing share of modern solar resources. I

  3. Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime-Switching

    E-Print Network [OSTI]

    Genton, Marc G.

    Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at a wind energy site and fits a conditional predictive model for each regime. Geographically dispersed was applied to 2-hour-ahead forecasts of hourly average wind speed near the Stateline wind energy center

  4. Appliance Energy Consumption in Australia | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWendeGuo Feng Bio Energy Co Ltd Jump to:SummariesApiConsumption in

  5. Reducing 3G energy consumption on mobile devices

    E-Print Network [OSTI]

    Deng, Shuo

    2012-01-01T23:59:59.000Z

    The 3G wireless interface is a significant contributor to battery drain on mobile devices. This paper describes the design, implementation, and experimental evaluation of methods to reduce the energy consumption of the 3G ...

  6. Smart Meters Help Balance Energy Consumption at Solar Decathlon

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clouds, rain, thunderstorms at Solar Decathlon Village? Oh my, you may say. But less-than-ideal weather conditions are no match for this year's teams, thanks to smart grid technology that is helping them monitor their energy consumption.

  7. Efficiency alone as a solution to increasing energy consumption

    E-Print Network [OSTI]

    Haidorfer, Luke

    2005-01-01T23:59:59.000Z

    A statistical analysis was performed to determine the effect of efficiency on the total US energy consumption of automobiles and refrigerators. Review of literature shows that there are many different opinions regarding ...

  8. November 2012 Key Performance Indicator (KPI): Energy Consumption

    E-Print Network [OSTI]

    Evans, Paul

    and district heating scheme* data. Year Energy Consumption (KWh) Percentage Change 2005/06 65,916,243 N/A 2006 buildings are connected to the Nottingham District Heating Scheme. This service meets all the heating

  9. Energy Consumption ESPRIMO E7935 E80+

    E-Print Network [OSTI]

    Ott, Albrecht

    joined the "Green Grid" and "Climate Savers Computing" initiatives and publishes SPECpower benchmark (WOL enabled) 4) 96.7 kWh/year Heat dissipation, WOL enabled (MJ, 1 W = 3.6 kJ/h) 348.3 MJ/year Heat Consumption (WOL enabled) 4) 103.6 kWh/year Heat dissipation, WOL enabled (MJ, 1 W = 3.6 kJ/h) 373.0 MJ

  10. Energy Consumption, Efficiency, Conservation, and Greenhouse Gas Mitigation in Japan's Building Sector

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    i n g s 2.1 Total Energy Consumption i n Japan's Residentialhouses. 2.1 Total Energy Consumption in Japan's Residentialorder to reduce total energy consumption. Figure 2 suggests

  11. The Impact of Residential Density on Vehicle Usage and Energy Consumption

    E-Print Network [OSTI]

    Golob, Thomas F; Brownstone, David

    2005-01-01T23:59:59.000Z

    on Vehicle Usage and Energy Consumption References Bento,Vehicle Usage and Energy Consumption UCI-ITS-WP-05-1 Thomason Vehicle Usage and Energy Consumption Thomas F. Golob

  12. Distributed Energy Consumption Control via Real-TimePricing Feedback in Smart Grid

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas J

    2014-01-01T23:59:59.000Z

    on game- theoretic energy consumption scheduling for theK }). We denote the energy consumption of consumers as l kwhere l i k is the energy consumption of consumer i (i ? N )

  13. The Reality and Future Scenarios of Commercial Building Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2008-01-01T23:59:59.000Z

    of Commercial Building Energy Consumption in China Nan Zhou,Commercial Building Energy Consumption in China* Nan Zhou, 1whether and how the energy consumption trend can be changed

  14. Impacts of Electric Vehicles on Primary Energy Consumption and Petroleum Displacement

    E-Print Network [OSTI]

    Wang, Quanlu; Delucchi, Mark A.

    1991-01-01T23:59:59.000Z

    L.von 2. The EV primary energy consumption relative to that~ Fig. 3. The EV primary energy consumption relative to thatVehicles on Primary Energy Consumption and Petroleum

  15. Window-Related Energy Consumption in the US Residential and Commercial Building Stock

    E-Print Network [OSTI]

    Apte, Joshua; Arasteh, Dariush

    2008-01-01T23:59:59.000Z

    window related primary energy consumption of the US building= 1.056 EJ. Primary energy consumption includes a site-to-the amount of primary energy consumption required by space

  16. Energy Consumption, Efficiency, Conservation, and Greenhouse Gas Mitigation in Japan's Building Sector

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    e d u c i n g Primary Energy Consumption and C O 2 emissionssystem can reduce primary energy consumption by about 22system can reduce primary energy consumption by about 26

  17. Window-Related Energy Consumption in the US Residential and Commercial Building Stock

    E-Print Network [OSTI]

    Apte, Joshua; Arasteh, Dariush

    2008-01-01T23:59:59.000Z

    roughly 2.7% of total US energy consumption. The final tworoughly 1.5% of total US energy consumption. The final twoSpace Conditioning Energy Consumption in US Buildings Annual

  18. Uncertainties in Energy Consumption Introduced by Building Operations and Weather for a Medium-Size Office Building

    E-Print Network [OSTI]

    Wang, Liping

    2014-01-01T23:59:59.000Z

    Uncertainties in Energy Consumption Introduced by Buildingand actual building energy consumption can be attributed touncertainties in energy consumption due to actual weather

  19. Energy Data Sourcebook for the U.S. Residential Sector

    E-Print Network [OSTI]

    Wenzel, T.P.

    2010-01-01T23:59:59.000Z

    that forecast US residential energy consumption by end-use.new unit energy consumption in the U.S. DOE appliancethe Residential Energy Consumption Survey, or RECS (US DOE

  20. Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model

    E-Print Network [OSTI]

    Lang, K.

    1982-01-01T23:59:59.000Z

    capital requirements and research and development programs in the alum inum industry. : CONCLUSIONS Forecasting the use of conservation techndlo gies with a market penetration model provides la more accountable method of projecting aggrega...

  1. Solar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting Questionnaire As someone who is familiar with solar energy issues, we hope that you will tak

    E-Print Network [OSTI]

    Islam, M. Saif

    is familiar with solar energy issues, we hope that you will take a few moments to answer this short survey on your needs for information on solar energy resources and forecasting. This survey is conducted with the California Solar Energy Collaborative (CSEC) and the California Solar Initiative (CSI) our objective

  2. Nodes Placement for reducing Energy Consumption in Multimedia Transmissions

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    quality of multimedia traffic. Index Terms--Wireless Sensor Networks, Multimedia, Energy Saving, Quality on the energy saving by extending the lifetime of the network up to more than 15% while preserving video qualityNodes Placement for reducing Energy Consumption in Multimedia Transmissions Pasquale Pace Valeria

  3. How Efficient Can We Be?: Bounds on Algorithm Energy Consumption

    E-Print Network [OSTI]

    California at Irvine, University of

    How Efficient Can We Be?: Bounds on Algorithm Energy Consumption Andrew Gearhart #12;Relation design use feedback to "cotune" compute kernel energy efficiency #12;Previous Work: Communication Lower-optimal" algorithms #12;Communication is energy inefficient! · On-chip/Off-chip gap isn't going to improve much Data

  4. Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    1 Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines H. In this paper, the MARS technique is applied to forecast the hourly Ontario energy price (HOEP). The MARS models values of the latest pre- dispatch price and demand information, made available by the Ontario

  5. Figure 1:Energy Consumption in USg gy p 1E Roberts, Energy in US

    E-Print Network [OSTI]

    Sutton, Michael

    Figure 1:Energy Consumption in USg gy p 2008 1E Roberts, Energy in US Source: www.eia.gov #12 National Academy of Science 2009 #12;Figure 8: US Production of Primary Energy by Fuel 8E Roberts, Energy Consumption and Production 13E Roberts, Energy in US EIA Annual Energy Outlook 2012 #12;Figure 14: Oil Price

  6. State energy data report: Consumption estimates, 1960--1987

    SciTech Connect (OSTI)

    Not Available

    1989-04-20T23:59:59.000Z

    The State Energy Data Report presents estimates of annual energy consumption at the state and national levels by major economic sector and by principal energy type for 1960 through 1987. Included in the report are documentation describing how the estimates were made for each energy source, sources of all input data, and a summary of changes from the State Energy Data Report published in April 1988.

  7. Delivered Energy Consumption Projections by Industry in the Annual Energy Outlook 2002

    Reports and Publications (EIA)

    2002-01-01T23:59:59.000Z

    This paper presents delivered energy consumption and intensity projections for the industries included in the industrial sector of the National Energy Modeling System.

  8. China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China

    E-Print Network [OSTI]

    Price, Lynn

    2008-01-01T23:59:59.000Z

    recently. In 2006, total energy consumption reached 2,4577.5% per year, total energy consumption in 2010 will reachof Enterprises Total Energy Consumption Mtce pe tro iro le

  9. Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program

    E-Print Network [OSTI]

    Price, Lynn; Wang, Xuejun

    2007-01-01T23:59:59.000Z

    recently. In 2005, total energy consumption reached 2,2257.5% per year, total energy consumption in 2010 will reachof Enterprises and Total Energy Consumption by Sector of the

  10. Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program

    E-Print Network [OSTI]

    Price, Lynn; Wang, Xuejun

    2007-01-01T23:59:59.000Z

    Industry Constraining Energy Consumption of Chinas Largestone-to-one ratio of energy consumption to GDP given Chinagoal of reducing energy consumption per unit of GDP by 20%

  11. China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China

    E-Print Network [OSTI]

    Price, Lynn

    2008-01-01T23:59:59.000Z

    Chinas total primary energy consumption in 2005, along withof Chinas total primary energy consumption (Lin et al. ,accounted for, the primary energy consumption of the Top-

  12. Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program

    E-Print Network [OSTI]

    Price, Lynn; Wang, Xuejun

    2007-01-01T23:59:59.000Z

    Chinas total primary energy consumption in 2005, along withthe industrial sector primary energy consumption was 1,416of Chinas total primary energy consumption (Lin et al. ,

  13. Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability

    Broader source: Energy.gov [DOE]

    Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability

  14. Energy Consumption and Energy Density in Optical and Electronic Signal Processing

    E-Print Network [OSTI]

    Tucker, Rod

    Energy Consumption and Energy Density in Optical and Electronic Signal Processing Volume 3, Number-0655/$26.00 ©2011 IEEE #12;Energy Consumption and Energy Density in Optical and Electronic Signal Processing Rodney optical and digital electronic signal processing circuits, including the contributions to energy

  15. The effects of energy policies in China on energy consumption1

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    1 The effects of energy policies in China on energy consumption1 Ming-Jie Lu, C.-Y. Cynthia Lin and Song Chen Abstract This paper examines the effects of energy policies in China on energy consumption of energy policies, including environmental protection policies, policies that promote technological

  16. The effects of energy policies in China on energy consumption and GDP1

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    policies have significant impacts on diesel oil, gasoline and natural gas consumption. However, some energy The effects of energy policies in China on energy consumption and GDP1 Ming-Jie Lu, C.-Y. Cynthia Lin and Song Chen Abstract This paper examines the effects of energy policies in China on energy

  17. Energy consumption and comfort analysis for different low-energy cooling systems in a mild climate

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 Energy consumption and comfort analysis for different low- energy cooling systems in a mild. "Energy consumption and comfort analysis for different low-energy cooling systems in a mild climate the architectural and mechanical design of a building. Several researchers have demonstrated the analysis of low-energy

  18. World Energy Consumption and Carbon Dioxide Emissions: 1950 2050

    E-Print Network [OSTI]

    -U" relation with a within- sample peak between carbon dioxide emissions (and energy use) per capita and perWorld Energy Consumption and Carbon Dioxide Emissions: 1950 2050 Richard Schmalensee, Thomas M capita income. Using the income and population growth assumptions of the Intergovernmental Panel

  19. The Impact on Energy Consumption of Daylight Saving Clock Changes

    E-Print Network [OSTI]

    Hill, Simon I.

    The Impact on Energy Consumption of Daylight Saving Clock Changes S. I. Hilla, , F. Desobrya , E. W demonstrating po- tential energy savings which could be obtained were Great Britain to maintain Daylight Savings result from an extension of Daylight Saving Time (DST) over the months currently on Greenwich Mean Time

  20. California Energy and Consumption Projections 2005-2050

    E-Print Network [OSTI]

    Keller, Arturo A.

    State NG US NG Imports State Nuclear US Nuclear Imports Biomass Solar Wind Small Hydro 1.0 Quad BTUs 4 Hydro Renewable Energy Biomass Solar Wind Geothermal #12;Model Energy Consumption in Quads Take the 2005 by Source Year 2005 Year 2050 Natural Gas (Heating) Gas/Diesel (Heating/Trans) Hydro (Electricity) Coal

  1. Vending Machine Energy Consumption and VendingMiser Evaluation

    E-Print Network [OSTI]

    Ritter, J.; Hugghins, J.

    2000-01-01T23:59:59.000Z

    As an effort to decrease the amount of non-critical energy used on the Texas A&M campus, and to assist Dixie Narco in evaluating the efficiency of their vending machines, the Texas A&M Energy Systems Laboratory investigated the power consumption...

  2. annual energy consumption: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    energy consumption First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Sample Annual and Monthly Energy...

  3. Preliminary Analysis of Energy Consumption For Cool Roofing Measures

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    decisions by offering design requirements and establishing building codes. Over the last decade, muchPreliminary Analysis of Energy Consumption For Cool Roofing Measures By Joe Mellott, Joshua New to reduce energy demand by reflecting sunlight away from structures and back into the atmosphere. By use

  4. NCAR WRF-based data assimilation and forecasting systems for wind energy applications power

    E-Print Network [OSTI]

    Kim, Guebuem

    NCAR WRF-based data assimilation and forecasting systems for wind energy applications power Yuewei of these modeling technologies w.r.t. wind energy applications. Then I'll discuss wind farm

  5. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    SciTech Connect (OSTI)

    Zhou, Nan; Nishida, Masaru; Gao, Weijun

    2008-12-01T23:59:59.000Z

    China's rapid economic expansion has propelled it into the ranks of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. Even though the rapid growth is largely attributable to heavy industry, this in turn is driven by rapid urbanization process, by construction materials and equipment produced for use in buildings. Residential energy is mostly used in urban areas, where rising incomes have allowed acquisition of home appliances, as well as increased use of heating in southern China. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modeling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities.

  6. Issues in International Energy Consumption Analysis: Electricity...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    a bottom-up approach in their research paper from the Lawrence Berkeley National Lab (LBNL) in 2009, Residential and Transport Energy Use in India: Past Trend and Future Outlook....

  7. Model for electric energy consumption in eastern Saudi Arabia

    SciTech Connect (OSTI)

    Al-Garni, A.Z.; Al-Nassar, Y.N.; Zubair, S.M.; Al-Shehri, A. [King Fahd Univ. of Petroleum and Minerals, Dhahran (Saudi Arabia)

    1997-05-01T23:59:59.000Z

    Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five years of data have been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy is determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.

  8. Mixed-Criticality Multiprocessor Real-Time Systems: Energy Consumption vs Deadline Misses

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Mixed-Criticality Multiprocessor Real-Time Systems: Energy Consumption vs Deadline Misses Vincent that using the best compromise, the energy consumption can be reduced up to 17% while the percentage the energy consumption of MC systems. The energy consumption of embedded real-time systems is indeed

  9. Energy Consumption Tools Pack Leandro Fontoura Cupertino, Georges DaCosta,

    E-Print Network [OSTI]

    Lefèvre, Laurent

    Energy Consumption Tools Pack Leandro Fontoura Cupertino, Georges DaCosta, Amal Sayah, Jean Consumption Tools Pack 1 / 23 #12;Outline 1 Introduction Motivation Our proposal 2 Energy Consumption Tools Energy Consumption Library Data Acquisition Tool Data Monitoring Tool Energy Profiler 3 Conclusions

  10. uFLIP: Understanding the Energy Consumption of Flash Devices Matias Bjrling

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    uFLIP: Understanding the Energy Consumption of Flash Devices Matias Bjørling IT University Abstract Understanding the energy consumption of flash devices is important for two reasons. First, energy about the energy consumption of flash devices beyond their approximate aggregate consumption (low power

  11. A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based on Large Datasets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based consumption of buildings based on historical performances is an important approach to achieve energy consumption plays an important role in the total energy consumption of end use. Energy efficiency in building

  12. Balancing Peer and Server Energy Consumption in Large Peer-to-Peer File Distribution Systems

    E-Print Network [OSTI]

    Andrew, Lachlan

    Balancing Peer and Server Energy Consumption in Large Peer-to-Peer File Distribution Systems}@swin.edu.au Abstract--Network induced energy consumption is a significant fraction of all ICT energy consumption. It is shown that using peer-to-peer and naively minimizing the transfer time results in energy consumption

  13. Residential Energy Consumption Survey: Housing Characteristics,

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared atEffectquestionnairesU.S. Energy InformationU.S.tni

  14. Reducing Energy Consumption on Process Ovens & Oxidation Systems

    E-Print Network [OSTI]

    Worachek, C.

    recovery systems are capable of metals in the heat exchangers along with stresses recovering up to 97% of the energy used in the induced by changing process conditions can oxidation process. Most units on the market severely reduce the life...REDUCING ENERGY CONSUMPTION ON PROCESS OVENS & OXIDATION SYSTEMS Chris Worachek Design Engineer MEGTEC Systems De Pere, WI ABSTRACT With the uncertain cost of energy, optimizing the use of air in process dryers, ovens and air pollution...

  15. Simulation Models to Optimize the Energy Consumption of Buildings

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    Page 1 of paper submitted to ICEBO 2008 Berlin SIMULATION MODELS TO OPTIMIZE THE ENERGY CONSUMPTION OF BUILDINGS Sebastian Burhenne Fraunhofer-Institute for Solar Energy Systems Freiburg, Germany Dirk Jacob Fraunhofer...-Institute for Solar Energy Systems Freiburg, Germany ABSTRACT In practice, building operation systems are only adjusted during commissioning. This is done manually and leads to failure-free but often inefficient operation. This work deals...

  16. Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

    SciTech Connect (OSTI)

    Parks, K.; Wan, Y. H.; Wiener, G.; Liu, Y.

    2011-10-01T23:59:59.000Z

    The focus of this report is the wind forecasting system developed during this contract period with results of performance through the end of 2010. The report is intentionally high-level, with technical details disseminated at various conferences and academic papers. At the end of 2010, Xcel Energy managed the output of 3372 megawatts of installed wind energy. The wind plants span three operating companies1, serving customers in eight states2, and three market structures3. The great majority of the wind energy is contracted through power purchase agreements (PPAs). The remainder is utility owned, Qualifying Facilities (QF), distributed resources (i.e., 'behind the meter'), or merchant entities within Xcel Energy's Balancing Authority footprints. Regardless of the contractual or ownership arrangements, the output of the wind energy is balanced by Xcel Energy's generation resources that include fossil, nuclear, and hydro based facilities that are owned or contracted via PPAs. These facilities are committed and dispatched or bid into day-ahead and real-time markets by Xcel Energy's Commercial Operations department. Wind energy complicates the short and long-term planning goals of least-cost, reliable operations. Due to the uncertainty of wind energy production, inherent suboptimal commitment and dispatch associated with imperfect wind forecasts drives up costs. For example, a gas combined cycle unit may be turned on, or committed, in anticipation of low winds. The reality is winds stayed high, forcing this unit and others to run, or be dispatched, to sub-optimal loading positions. In addition, commitment decisions are frequently irreversible due to minimum up and down time constraints. That is, a dispatcher lives with inefficient decisions made in prior periods. In general, uncertainty contributes to conservative operations - committing more units and keeping them on longer than may have been necessary for purposes of maintaining reliability. The downside is costs are higher. In organized electricity markets, units that are committed for reliability reasons are paid their offer price even when prevailing market prices are lower. Often, these uplift charges are allocated to market participants that caused the inefficient dispatch in the first place. Thus, wind energy facilities are burdened with their share of costs proportional to their forecast errors. For Xcel Energy, wind energy uncertainty costs manifest depending on specific market structures. In the Public Service of Colorado (PSCo), inefficient commitment and dispatch caused by wind uncertainty increases fuel costs. Wind resources participating in the Midwest Independent System Operator (MISO) footprint make substantial payments in the real-time markets to true-up their day-ahead positions and are additionally burdened with deviation charges called a Revenue Sufficiency Guarantee (RSG) to cover out of market costs associated with operations. Southwest Public Service (SPS) wind plants cause both commitment inefficiencies and are charged Southwest Power Pool (SPP) imbalance payments due to wind uncertainty and variability. Wind energy forecasting helps mitigate these costs. Wind integration studies for the PSCo and Northern States Power (NSP) operating companies have projected increasing costs as more wind is installed on the system due to forecast error. It follows that reducing forecast error would reduce these costs. This is echoed by large scale studies in neighboring regions and states that have recommended adoption of state-of-the-art wind forecasting tools in day-ahead and real-time planning and operations. Further, Xcel Energy concluded reduction of the normalized mean absolute error by one percent would have reduced costs in 2008 by over $1 million annually in PSCo alone. The value of reducing forecast error prompted Xcel Energy to make substantial investments in wind energy forecasting research and development.

  17. Household Vehicles Energy Consumption 1994 - Appendix C

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 1 0Decade Year-0 Year-1 Appendix A.DetailedW

  18. Data Center Power Consumption | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat Pump Models | Department1 Prepared by:DTE Energy VideoDark MatterData CenterPower

  19. Commercial Buildings Energy Consumption and Expenditures 1992

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87CBECS Public Use Data CBECS Public Use Data

  20. Sandia National Laboratories: reduce energy consumption

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1developmentturbineredox-active perovskite oxide High-Efficiency Solaremissions

  1. One of These Homes is Not Like the Other: Residential Energy Consumption Variability

    E-Print Network [OSTI]

    Kelsven, Phillip

    2013-01-01T23:59:59.000Z

    behavior patterns in which American households use energy causes wide variations in total residential energy consumption per home,

  2. Capping the Brown Energy Consumption of Internet Services at Low Cost

    E-Print Network [OSTI]

    Capping the Brown Energy Consumption of Internet Services at Low Cost Kien T. Le Ricardo Bianchini Consumption of Data Centers 0 20 40 60 80 100 120 140 2000 2006 2011 Electricity consumption of US DCs Billion Energy Consumption · Improving efficiency does not promote green energy or guarantee limits on brown

  3. assess energy consumption: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    assess energy consumption First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 The Analysis and Assessment...

  4. Survey: Techniques for Efficient energy consumption in Mobile Architectures

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Survey: Techniques for Efficient energy consumption in Mobile Architectures Sean Maloney University@cs.ucsb.edu March 16th, 2012 Abstract As the world becomes more dependent on mobile technologies, battery life battery life is a delicate balance of give and take between longer battery life and more functionality

  5. A method for evaluating transport energy consumption in suburban areas

    SciTech Connect (OSTI)

    Marique, Anne-Francoise, E-mail: afmarique@ulg.ac.be; Reiter, Sigrid, E-mail: Sigrid.Reiter@ulg.ac.be

    2012-02-15T23:59:59.000Z

    Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits. - Highlights: Black-Right-Pointing-Pointer The method allows to assess transport energy consumption in suburban areas and highlight the best strategies to reduce it. Black-Right-Pointing-Pointer Home-to-work travels represent the most important part of calculated transport energy consumption. Black-Right-Pointing-Pointer Energy savings can be achieved by reducing distances to travel through a good mix between activities at the local scale. Black-Right-Pointing-Pointer Means of transport used in only of little impact in the studied suburban neighborhoods. Black-Right-Pointing-Pointer Improving the performance of the vehicles and favoring home-work can significant energy savings.

  6. Analysis of federal incentives used to stimulate energy consumption

    SciTech Connect (OSTI)

    Cole, R.J.; Cone, B.W.; Emery, J.C.; Huelshoff, M.; Lenerz, D.E.; Marcus, A.; Morris, F.A.; Sheppard, W.J.; Sommers, P.

    1981-08-01T23:59:59.000Z

    The purpose of the analysis is to identify and quantify Federal incentives that have increased the consumption of coal, oil, natural gas, and electricity. The introductory chapter is intended as a device for presenting the policy questions about the incentives that can be used to stimulate desired levels of energy development. In the theoretical chapter federal incentives were identified for the consumption of energy as Federal government actions whose major intent or result is to stimulate energy consumption. The stimulus comes through changing values of variables included in energy demand functions, thereby inducing energy consumers to move along the function in the direction of greater quantity of energy demanded, or through inducing a shift of the function to a position where more energy will be demanded at a given price. The demand variables fall into one of six categories: price of the energy form, price of complements, price of substitutes, preferences, income, and technology. The government can provide such incentives using six different policy instruments: taxation, disbursements, requirements, nontraditional services, traditional services, and market activity. The four major energy forms were examined. Six energy-consuming sectors were examined: residential, commercial, industrial, agricultural, transportation, and public. Two types of analyses of incentive actions are presented in this volume. The generic chapter focused on actions taken in 1978 across all energy forms. The subsequent chapters traced the patterns of incentive actions, energy form by energy form, from the beginning of the 20th century, to the present. The summary chapter includes the results of the previous chapters presented by energy form, incentive type, and user group. Finally, the implications of these results for solar policy are presented in the last chapter. (MCW)

  7. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    LPG is a major energy source, while coal and electricity areoil coal Figure 14 Residential Primary Energy Consumption bytotal primary energy supply in 2000, coal will drop to about

  8. Energy Consumption Analysis and Energy Conservation Evaluation of a Commercial Building in Shanghai

    E-Print Network [OSTI]

    Chen, C.; Pan, Y.; Huang, Z.; Wu, G.

    2006-01-01T23:59:59.000Z

    The paper presents a model of a commercial building in Shanghai with energy simulation software, and after calibration, the energy consumption of this building is calculated. On the basis of the simulation and calculation, a series of energy saving...

  9. Investigation and Analysis of Summer Energy Consumption of Energy Efficient Residential Buildings in Xi'an

    E-Print Network [OSTI]

    Ma, B.; Yan, Z.; Gui, Z.; He, J.

    2006-01-01T23:59:59.000Z

    Tests and questionnaire surveys on the summer energy consumption structure of 100 energy efficient residential buildings have been performed in a certain residential district in Xi'an, China. The relationship between the formation of the energy...

  10. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    on biomass for rural energy consumption as discussed aboverural China, total rural primary energy use is only 1.84EJ,Biomass is the major energy in rural areas. For lighting, an

  11. The importance of population growth in future commercial energy consumption

    SciTech Connect (OSTI)

    Kolsrud, G. [Congress, Washington, DC (United States); Torrey, B.B. [Bureau of the Census, Washington, DC (United States)

    1992-12-31T23:59:59.000Z

    This paper estimates the contribution of population growth to commercial energy consumption, which is considered a major cause of increases in air pollution and greenhouse gases. This paper first summarizes some of the recent estimates of future energy use developed by well-known models. It then develops several alternative scenarios that use different assumptions about population growth and energy use per capita for 122 countries for the years 2020 and 2050. It calculates the relative contribution of population growth to the change in total commercial energy use and demonstrates the sensitivity of the results to different assumptions. Individual country data are separately summed to totals for more-developed countries (MDCs) and less-developed countries (LDCs). Under a business as usual scenario for both MDCs and LDCs, population growth is important, but not the most important factor, in future increases in global energy consumption. Analysis of other scenarios shows that while slower population growth always contributes to a slowing of future global energy consumption, such changes are not as effective as reductions in per capita commercial energy use. Calculations on a global basis are made in two ways: from global aggregates and by summing individual country data. Comparison of the results shows that the first method is misleading because of the heterogeneity of population growth rates and energy consumption rates of individual countries. The tentative conclusions reached in this paper are only small pieces of a much larger puzzle. More work needs to be done to better understand the dynamics of these relationships before the analysis is extended to the broader questions of population growth and environmental change.

  12. The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices

    E-Print Network [OSTI]

    Kudoyan, Olga

    2012-02-14T23:59:59.000Z

    This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil...

  13. Solar Adoption and Energy Consumption in the Residential Sector

    E-Print Network [OSTI]

    McAllister, Joseph Andrew

    2012-01-01T23:59:59.000Z

    49 3.3.3. Pre-installation electricity consumption of CSIE. Kahn (2011). Electricity Consumption and Durable Housing:on Electricity Consumption .

  14. NREL: Energy Analysis - Energy Forecasting and Modeling Staff

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions and Achievements of WomenEventsTools UpdateChadDavidDylanEllaEnergy

  15. Solar forecasting review

    E-Print Network [OSTI]

    Inman, Richard Headen

    2012-01-01T23:59:59.000Z

    and forecasting of solar radiation data: a review,forecasting of solar- radiation data, Solar Energy, vol.sequences of global solar radiation data for isolated sites:

  16. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    were used to calculate the energy mix in manufacturing,of Chinas total energy consumption mix. However, accuratelyof Chinas total energy consumption mix. However, accurately

  17. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    reliance on biomass for rural energy consumption shows thereliance on biomass for rural energy consumption shows theBiomass is the major energy in rural area. For lighting, an

  18. Factors affecting the energy consumption of two refrigerator-freezers

    SciTech Connect (OSTI)

    Kao, J.Y.; Kelley, G.E. [National Inst. of Standards and Technology, Gaithersburg, MD (United States). Building and Fire Research Lab.

    1996-12-31T23:59:59.000Z

    Two refrigerator-freezers, one with a top-mounted freezer and one with side-by-side doors, were tested in the laboratory to determine the sensitivity of their energy consumption to various operational factors. Room temperature, room humidity, door openings, and the setting of the anti-sweat heater switch were the factors examined. The results indicated that the room temperature and door openings had a significantly greater effect on energy consumption than the other two factors. More detailed tests were then performed under different room temperature and door-opening combinations. The relationship of door openings and the equivalent test room temperature was established. Finally, the effect on energy of different temperature settings was studied. Test results are presented and discussed.

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

    SciTech Connect (OSTI)

    Clark, Y.Y.; Vincent, W.

    1987-06-01T23:59:59.000Z

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

  20. Fine-grained Energy Consumption Characterization and Modeling Catherine Mills Olschanowsky, Tajana Rosing, and

    E-Print Network [OSTI]

    Simunic, Tajana

    Fine-grained Energy Consumption Characterization and Modeling Catherine Mills Olschanowsky, Tajana of the applications in the workload affect the energy consumption of the resource. Our experiments confirm that data the performance and energy-efficiency of candidate resources. Predicting the energy consumption of an HPC resource

  1. Energy consumption in cellular network: ON-OFF model and impact of mobility

    E-Print Network [OSTI]

    Energy consumption in cellular network: ON-OFF model and impact of mobility Thanh Tung Vu Telecom consumption in cellular network and we focus on the distribution of energy consumed by a base station. We first define the energy consumption model, in which the consumed energy is divided into two parts

  2. Mechanism design for aggregating energy consumption and quality of service in speed

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    in a way that minimizes energy while respecting the jobs' deadlines. The energy consumption is then chargedScale. Higher speed means that jobs finish earlier at the price of a higher energy consumption. Each job hasMechanism design for aggregating energy consumption and quality of service in speed scaling

  3. U.S. Department of Energy Workshop Report: Solar Resources and Forecasting

    SciTech Connect (OSTI)

    Stoffel, T.

    2012-06-01T23:59:59.000Z

    This report summarizes the technical presentations, outlines the core research recommendations, and augments the information of the Solar Resources and Forecasting Workshop held June 20-22, 2011, in Golden, Colorado. The workshop brought together notable specialists in atmospheric science, solar resource assessment, solar energy conversion, and various stakeholders from industry and academia to review recent developments and provide input for planning future research in solar resource characterization, including measurement, modeling, and forecasting.

  4. Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program

    E-Print Network [OSTI]

    Price, Lynn; Wang, Xuejun

    2007-01-01T23:59:59.000Z

    Daily, 2007. Energy consumption per unit GDP down 1.23%increase in energy use per unit of GDP after 2002 following2006, the energy consumption per unit of GDP declined 1.23%

  5. The electricity consumption impacts of commercial energy management systems

    SciTech Connect (OSTI)

    Buchanan, S.; Taylor, R.; Paulos, S.; Warren, W.; Hay, J.

    1989-02-01T23:59:59.000Z

    An investigation of energy management systems (EMS) in large commercial and institutional buildings in North Carolina was undertaken to determine how EMS currently affect electricity consumption and what their potential is for being used to reduce on-peak electricity demand. A survey was mailed to 5000 commercial customers; the 430 responses were tabulated and analyzed; EMS vendors were interviewed, and 30 sites were investigated in detail. The detailed assessments included a site interview and reconstruction of historic billing data to evaluate EMS impact, if any. The results indicate that well-tuned EMS can result in a 10 to 40 percent reduction in billed demand, and smaller reductions in energy.

  6. MPC for Wind Power Gradients --Utilizing Forecasts, Rotor Inertia, and Central Energy Storage

    E-Print Network [OSTI]

    MPC for Wind Power Gradients -- Utilizing Forecasts, Rotor Inertia, and Central Energy Storage iterations. We demonstrate our method in simulations with various wind scenarios and prices for energy. INTRODUCTION Today, wind power is the most important renewable energy source. For the years to come, many

  7. European Wind Energy Conference -Brussels, Belgium, April 2008 Data mining for wind power forecasting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    European Wind Energy Conference - Brussels, Belgium, April 2008 Data mining for wind power-term forecasting of wind energy produc- tion up to 2-3 days ahead is recognized as a major contribution the improvement of predic- tion systems performance is recognised as one of the priorities in wind energy research

  8. Demonstration Of A Monitoring Lamp To Visualize The Energy Consumption In Houses

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the sources of consumption. Automated monitoring of the electricity consumption in a house is quite a recent or numbers, but simply alert residents that something relevant to their electricity consumption is chang- ingDemonstration Of A Monitoring Lamp To Visualize The Energy Consumption In Houses Christophe Gisler1

  9. Global Inequality in Energy Consumption from 1980 to 2010

    E-Print Network [OSTI]

    Lawrence, Scott; Yakovenko, Victor M

    2013-01-01T23:59:59.000Z

    We study the global probability distribution of energy consumption per capita around the world using data from the U.S. Energy Information Administration (EIA) for 1980-2010. We find that the Lorenz curves have moved up during this time period, and the Gini coefficient G has decreased from 0.66 in 1980 to 0.55 in 2010, indicating a decrease in inequality. The global probability distribution of energy consumption per capita in 2010 is close to the exponential distribution with G=0.5. We attribute this result to the globalization of the world economy, which mixes the world and brings it closer to the state of maximal entropy. We argue that global energy production is a limited resource that is partitioned among the world population. The most probable partition is the one that maximizes entropy, thus resulting in the exponential distribution function. A consequence of the latter is the law of 1/3: the top 1/3 of the world population consumes 2/3 of produced energy. We also find similar results for the global pro...

  10. Experimental Study on the Energy Consumption in IaaS Cloud Environments

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Experimental Study on the Energy Consumption in IaaS Cloud Environments Alexandra Carpen.morin@inria.fr Abstract--Energy consumption has always been a major concern in the design and cost of datacenters the energy consumption of a cloud system, the hardware-component level is one of the most intensively studied

  11. Unit Testing of Energy Consumption of Software Libraries Adel Noureddine1,2

    E-Print Network [OSTI]

    Boyer, Edmond

    Unit Testing of Energy Consumption of Software Libraries Adel Noureddine1,2 , Romain Rouvoy1. In this paper, we therefore introduce JalenUnit, a software framework that infers the energy consumption model, and comparing software libraries against their energy consumption. Categories and Subject Descriptors D.2

  12. Balancing Energy and Water Consumption in an Urban Desert Environment: A Case

    E-Print Network [OSTI]

    Hall, Sharon J.

    Balancing Energy and Water Consumption in an Urban Desert Environment: A Case Study on Phoenix, AZ effect, water scarcity, and energy consumption. The transformation of native landscapes into built to cool homes. Identifying Direct and Indirect Costs of Water and Energy Consumption Study Area Although

  13. INFLUENCES OF RAKE RECEIVER/TURBO DECODER PARAMETERS ON ENERGY CONSUMPTION AND QUALITY

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

    INFLUENCES OF RAKE RECEIVER/TURBO DECODER PARAMETERS ON ENERGY CONSUMPTION AND QUALITY Lodewijk T are selected and their influences on the energy consumption and quality are investigated by means power hardware is needed to save energy consumption. Furthermore, an adequate quality of the wireless

  14. Energy-Aware Networks: Reducing Power Consumption By Switching Off Network Elements

    E-Print Network [OSTI]

    Mellia, Marco

    Energy-Aware Networks: Reducing Power Consumption By Switching Off Network Elements Luca% of the worldwide energy consumption, and several initiatives are being put into place to reduce the power power consumption, even without taking into account the energy necessary for equipment cooling [4

  15. An off-line multiprocessor real-time scheduling algorithm to reduce static energy consumption

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An off-line multiprocessor real-time scheduling algorithm to reduce static energy consumption, France laurent.pautet@telecom-paristech.fr Abstract--Energy consumption of highly reliable real dynamic energy consumption. This paper aims to propose a new off-line schedul- ing algorithm to put

  16. Energy management of HEV to optimize fuel consumption and pollutant emissions

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    AVEC'12 Energy management of HEV to optimize fuel consumption and pollutant emissions Pierre Michel, several energy management strategies are proposed to optimize jointly the fuel consumption and pollutant-line strategy are given. Keywords: Hybrid Electric Vehicle (HEV), energy management, pollution, fuel consumption

  17. IEEE INFOCOM 2001 1 Investigating the Energy Consumption of a Wireless

    E-Print Network [OSTI]

    IEEE INFOCOM 2001 1 Investigating the Energy Consumption of a Wireless Network Interface in an Ad and evaluation of network protocols re­ quires knowledge of the energy consumption behavior of actual wireless interfaces. But little practical information is available about the energy consumption behavior of well

  18. Mobile Location Sharing: An Energy Consumption Study Ekhiotz Jon Vergara, Mihails Prihodko, Simin Nadjm-Tehrani

    E-Print Network [OSTI]

    Mobile Location Sharing: An Energy Consumption Study Ekhiotz Jon Vergara, Mihails Prihodko, Simin- packet interval) highly influences the energy consumption of the mobile device. Our work focuses other clients' location updates (similar to pull behaviour). In order to evaluate the energy consumption and the

  19. Energy Consumption of TCP Reno, Newreno, and SACK in Multi-Hop Wireless Networks

    E-Print Network [OSTI]

    Singh, Suresh

    Energy Consumption of TCP Reno, Newreno, and SACK in Multi-Hop Wireless Networks Harkirat Singh In this paper we compare the energy consumption behavior of three versions of TCP ­ Reno, Newreno, and SACK the lowest overall energy consumption. 1. INTRODUCTION Today, sophisticated wireless devices are gaining

  20. Measuring the Client Performance and Energy Consumption in Mobile Cloud Gaming

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    Measuring the Client Performance and Energy Consumption in Mobile Cloud Gaming Chun-Ying Huang1, Po-constrained devices may lead to inferior performance and high energy consumption. For example, the gaming frame rate and energy consumption of mobile clients is critical to the success of the new mobile cloud gaming ecosystem

  1. Accounting for the Energy Consumption of Personal Computing Including Portable Devices

    E-Print Network [OSTI]

    Namboodiri, Vinod

    Accounting for the Energy Consumption of Personal Computing Including Portable Devices Pavel.S.A vinod.namboodiri@wichita.edu ABSTRACT In light of the increased awareness of global energy consumption the share of energy consumption due to these equipment over the years, these have rarely characterized

  2. Investigating the Energy Consumption of a Wireless Network Interface in an Ad Hoc Networking

    E-Print Network [OSTI]

    Sirer, Emin Gun

    Investigating the Energy Consumption of a Wireless Network Interface in an Ad Hoc Networking protocols re- quires knowledge of the energy consumption behavior of actual wireless interfaces. But little practical information is available about the energy consumption behavior of well-known wireless network

  3. Energy-Aware Networks: Reducing Power Consumption By Switching Off Network Elements

    E-Print Network [OSTI]

    Mellia, Marco

    Energy-Aware Networks: Reducing Power Consumption By Switching Off Network Elements Luca% of the worldwide energy consumption, and several initiatives are being punt into place to reduce the power power consumption, even without taking into account the energy necessary for equipment cooling [4

  4. UBC Social Ecological Economic Development Studies (SEEDS) Student Report Elevator Drive Systems Energy Consumption Study Report

    E-Print Network [OSTI]

    Energy Consumption Study Report Benny ChunYin Chan University of British Columbia EECE 492 April 6th the current status of the subject matter of a project/report". #12;Elevator Drive Systems Energy Consumption Study Report April 2012 0 2012 Elevator Drive Systems Energy Consumption Study Report Benny CY Chan UBC

  5. An Analysis of Hard Drive Energy Consumption Anthony Hylick, Ripduman Sohan, Andrew Rice, and Brian Jones

    E-Print Network [OSTI]

    Cambridge, University of

    An Analysis of Hard Drive Energy Consumption Anthony Hylick, Ripduman Sohan, Andrew Rice, and Brian consumed by the electronics of a drive is just as important as the mechanical energy consumption; (ii consumption was a concern pri- marily for mobile computing domains. The rising cost of energy and increased

  6. CONSUMPTION AND CHANGES IN HOME ENERGY COSTS: HOW PREVALENT IS THE `HEAT OR EAT' DECISION?

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    CONSUMPTION AND CHANGES IN HOME ENERGY COSTS: HOW PREVALENT IS THE `HEAT OR EAT' DECISION?· Julie how household consumption responds to changes in home energy outlays over the course of the year. We specify Euler equations describing nondurable and food consumption and then rely on changes in energy

  7. Cherish every Joule: Maximizing throughput with an eye on network-wide energy consumption

    E-Print Network [OSTI]

    Hou, Y. Thomas

    Cherish every Joule: Maximizing throughput with an eye on network-wide energy consumption Canming: {jcm, yshi, thou, wjlou}@vt.edu Abstract Conserving network-wide energy consumption is becoming of wireless networks, the concern of energy consumption is becoming in- creasingly important for network

  8. Hybrid GA-SA Algorithms for Reducing Energy Consumption in Embedded Systems

    E-Print Network [OSTI]

    Schott, René - Institut de Mathématiques ?lie Cartan, Université Henri Poincaré

    Hybrid GA-SA Algorithms for Reducing Energy Consumption in Embedded Systems Maha IDRISSI AOUAD Vandoeuvre-L`es-Nancy, France. Email: Rene.Schott@loria.fr Abstract--Reducing energy consumption in embedded algorithms based on Simulated An- nealing (SA) and Genetic Algorithm (GA) for reducing energy consumption

  9. Modelling Business Energy Consumption using Agent-based Simulation Modelling Jason Wong and Kay Cao1

    E-Print Network [OSTI]

    Modelling Business Energy Consumption using Agent-based Simulation Modelling Jason Wong and Kay Cao to develop a prototype agent based simulation model for business energy consumption, using data from the 2008 presents a framework of the model for estimating business energy consumption. Section V discusses the data

  10. A Process Algebraic Framework for Estimating the Energy Consumption in Ad-hoc Wireless Sensor Networks

    E-Print Network [OSTI]

    Rossi, Sabina

    A Process Algebraic Framework for Estimating the Energy Consumption in Ad-hoc Wireless Sensor their connecti- vity properties and their performances in terms of energy consumption, throughput and other and the evaluation or esti- mation of energy consumption in ad-hoc WSNs. The frame- work is based on a variant

  11. Balancing Energy Consumption and Food Quality Loss in Supermarket Refrigeration System

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Balancing Energy Consumption and Food Quality Loss in Supermarket Refrigeration System J. Cai and J- tion of commercial refrigeration system, featuring balanced system energy consumption and food quality energy consumption and food quality loss, at varying ambient condition, in a supermarket refrigeration

  12. On the Trade-off between Energy Consumption and Food Quality Loss in Supermarket Refrigeration Systems

    E-Print Network [OSTI]

    Skogestad, Sigurd

    On the Trade-off between Energy Consumption and Food Quality Loss in Supermarket Refrigeration on optimizing objective functions such as overall energy consumption, system efficiency, capacity, or wear systems, featuring a balanced system energy consumption and food quality loss. A former developed quality

  13. Hybrid modeling of industrial energy consumption and greenhouse gas emissions with an application to Canada

    E-Print Network [OSTI]

    implemented in Canada, what would be the response of the industrial sector in terms of energy consumptionHybrid modeling of industrial energy consumption and greenhouse gas emissions with an application for modeling industrial energy consumption, among them a series of environmental and security externalities

  14. Safe Upper-bounds Inference of Energy Consumption for Java Bytecode Applications

    E-Print Network [OSTI]

    Politécnica de Madrid, Universidad

    Safe Upper-bounds Inference of Energy Consumption for Java Bytecode Applications (Extended Abstract relying on autonomous on-board data analysis. Intermediate Representation Resource Usage Analysis Energy- mize energy consumption. Several approaches have been developed for estimating the en- ergy consumption

  15. Energy Consumption in Data Analysis for On-board and Distributed Applications

    E-Print Network [OSTI]

    Kargupta, Hilol

    Energy Consumption in Data Analysis for On-board and Distributed Applications Ruchita Bhargava Energy consumption is an important issue in the growing number of data mining and machine learning of the energy consumption characteristics of dif- ferent data analysis techniques. The paper com- pares

  16. A Measurement-Based Model of Energy Consumption for PLC Modems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Measurement-Based Model of Energy Consumption for PLC Modems Wafae Bakkali(,§), Mohamed Tlich- ysis of the energy consumption of commercial broadband PLC modems is reported. Energy consumption measurements are carried out on the basis of pairs of many commercial PLC modems. Ethernet frames with variable

  17. To appear in: Mobile Networks and Applications 0 (2000) ?{? 1 An Energy-consumption Model for Performance

    E-Print Network [OSTI]

    To appear in: Mobile Networks and Applications 0 (2000) ?{? 1 An Energy-consumption Model consumption behavior of a mobile ad hoc network. The model was used to examine the energy consumption of two. Keywords: mobile ad hoc networks, routing, energy consumption 1. Introduction Energy consumption

  18. Sample design for the residential energy consumption survey

    SciTech Connect (OSTI)

    Not Available

    1994-08-01T23:59:59.000Z

    The purpose of this report is to provide detailed information about the multistage area-probability sample design used for the Residential Energy Consumption Survey (RECS). It is intended as a technical report, for use by statisticians, to better understand the theory and procedures followed in the creation of the RECS sample frame. For a more cursory overview of the RECS sample design, refer to the appendix entitled ``How the Survey was Conducted,`` which is included in the statistical reports produced for each RECS survey year.

  19. The Energy Dashboard: Improving the Visibility of Energy Consumption at a Campus-Wide Scale

    E-Print Network [OSTI]

    Gupta, Rajesh

    of Energy (DOE) estimates that 73% of the electricity usage and 39% of the CO2 emissions in the US come from, Experimentation, Measurement, Human Factors Keywords Energy, Power, Buildings 1 Introduction The US DepartmentThe Energy Dashboard: Improving the Visibility of Energy Consumption at a Campus-Wide Scale Yuvraj

  20. Annual Energy Consumption Analysis Report for Richland Middle School

    SciTech Connect (OSTI)

    Liu, Bing

    2003-12-18T23:59:59.000Z

    Richland Middle School is a single story, 90,000 square feet new school located in Richland, WA. The design team proposed four HVAC system options to serve the building. The proposed HVAC systems are listed as following: (1) 4-pipe fan coil units served by electrical chiller and gas-fired boilers, (2) Ground-source closed water loop heat pumps with water loop heat pumps with boiler and cooling tower, and (3) VAV system served by electrical chiller and gas-fired boiler. This analysis estimates the annual energy consumptions and costs of each system option, in order to provide the design team with a reasonable basis for determining which system is most life-cycle cost effective. eQuest (version 3.37), a computer-based energy simulation program that uses the DOE-2 simulation engine, was used to estimate the annual energy costs.

  1. Assessment of energy consumption in new homes: Final report

    SciTech Connect (OSTI)

    Not Available

    1985-08-30T23:59:59.000Z

    This report presents the results of research conducted under a cooperative agreement between the National Association of Home Builders (NAHB) Research Foundation (RF), Inc. and the U.S. Department of Energy to assess the energy consumption of new homes across various climates in the United States. This report is unique in that it draws upon actual data on construction activity that has been compiled by NAHB/RF through its annual Builder Practices Survey. NAHB/RF initiated a study utilizing data from its annual Builder Practices Survey to characterize the thermal envelope of single family homes constructed in the United States. The U.S. Department of Energy provided financial assistance to this effort because of their mutual interest in the results.

  2. Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators Department of Computer Science

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    and institutional campuses can significantly contribute to energy conservation. The rollout of smart grids of occupants, and is a micro-grid test-bed for the DoE sponsored Los Angeles Smart Grid Demonstration ProjectImproving Energy Use Forecast for Campus Micro-grids using Indirect Indicators Saima Aman

  3. Nonresidential buildings energy consumption survey: 1979 consumption and expenditures. Part 2. Steam, fuel oil, LPG, and all fuels

    SciTech Connect (OSTI)

    Patinkin, L.

    1983-12-01T23:59:59.000Z

    This report presents data on square footage and on total energy consumption and expenditures for commercial buildings in the contiguous United States. Also included are detailed consumption and expenditures tables for fuel oil or kerosene, liquid petroleum gas (LPG), and purchased steam. Commercial buildings include all nonresidential buildings with the exception of those where industrial activities occupy more of the total square footage than any other type of activity. 7 figures, 23 tables.

  4. Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use

    E-Print Network [OSTI]

    Diaz, Nancy; E. Redelsheimer; Dornfeld, David

    2011-01-01T23:59:59.000Z

    Strategies for Green Manufacturing, in: Proceedings of theGreen Machine Tools; Energy Consumption Reduction; Specific Energy Characterization INTRODUCTION A product undergoes three life-cycle stages: manufacturing,

  5. Overview of the Electrical Energy Segment of the Energy Information Administration/ Manufacturing Consumption Report

    E-Print Network [OSTI]

    Lockhead, S.

    , liquefied petroleum gas, coke and breeze, coal, and electricity, only the electricity segment is overviewed. Along with pure electrical energy consumption information, newly available data covers methods that manufacturers used to purchase and modify...

  6. Trends in energy use in commercial buildings -- Sixteen years of EIA's commercial buildings energy consumption survey

    SciTech Connect (OSTI)

    Davis, J.; Swenson, A.

    1998-07-01T23:59:59.000Z

    The Commercial Buildings Energy Consumption Survey (CBECS) collects basic statistical information on energy consumption and energy-related characteristics of commercial buildings in the US. The first CBECS was conducted in 1979 and the most recent was completed in 1995. Over that period, the number of commercial bindings and total amount of floorspace increased, total consumption remained flat, and total energy intensity declined. By 1995, there were 4.6 million commercial buildings and 58.8 billion square feet of floorspace. The buildings consumed a total of 5.3 quadrillion Btu (site energy), with a total intensity of 90.5 thousand Btu per square foot per year. Electricity consumption exceeded natural gas consumption (2.6 quadrillion and 1.9 quadrillion Btu, respectively). In 1995, the two major users of energy were space heating (1.7 quadrillion Btu) and lighting (1.2 quadrillion Btu). Over the period 1979 to 1995, natural gas intensity declined from 71.4 thousand to 51.0 thousand Btu per square foot per year. Electricity intensity did not show a similar decline (44.2 thousand Btu per square foot in 1979 and 45.7 thousand Btu per square foot in 1995). Two types of commercial buildings, office buildings and mercantile and service buildings, were the largest consumers of energy in 1995 (2.0 quadrillion Btu, 38% of total consumption). Three building types, health care, food service, and food sales, had significantly higher energy intensities. Buildings constructed since 1970 accounted for half of total consumption and a majority (59%) of total electricity consumption.

  7. Short and Long-Term Perspectives: The Impact on Low-Income Consumers of Forecasted Energy Price Increases in 2008 and A Cap & Trade Carbon Policy in 2030

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2008-01-01T23:59:59.000Z

    The Department of Energy's Energy Information Administration (EIA) recently released its short-term forecast for residential energy prices for the winter of 2007-2008. The forecast indicates increases in costs for low-income consumers in the year ahead, particularly for those using fuel oil to heat their homes. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation's low-income households by primary heating fuel type, nationally and by Census Region. The report provides an update of bill estimates provided in a previous study, "The Impact Of Forecasted Energy Price Increases On Low-Income Consumers" (Eisenberg, 2005). The statistics are intended for use by policymakers in the Department of Energy's Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2008 fiscal year. In addition to providing expenditure forecasts for the year immediately ahead, this analysis uses a similar methodology to give policy makers some insight into one of the major policy debates that will impact low-income energy expenditures well into the middle decades of this century and beyond. There is now considerable discussion of employing a cap-and-trade mechanism to first limit and then reduce U.S. emissions of carbon into the atmosphere in order to combat the long-range threat of human-induced climate change. The Energy Information Administration has provided an analysis of projected energy prices in the years 2020 and 2030 for one such cap-and-trade carbon reduction proposal that, when integrated with the RECS 2001 database, provides estimates of how low-income households will be impacted over the long term by such a carbon reduction policy.

  8. Secure Distributed Solution for Optimal Energy Consumption Scheduling in Smart Grid

    E-Print Network [OSTI]

    Shehab, Mohamed

    Secure Distributed Solution for Optimal Energy Consumption Scheduling in Smart Grid Mohammad: Smart Grid, Energy Consumption Schedule, Privacy. I. INTRODUCTION Energy is critically important varying energy prices, giving incentive for using energy at off-peak hours. Smart grids provide innovative

  9. CONSULTANT REPORT DEMAND FORECAST EXPERT

    E-Print Network [OSTI]

    CONSULTANT REPORT DEMAND FORECAST EXPERT PANEL INITIAL forecast, end-use demand modeling, econometric modeling, hybrid demand modeling, energyMahon, Carl Linvill 2012. Demand Forecast Expert Panel Initial Assessment. California Energy

  10. Baseline projections of transportation energy consumption by mode: 1981 update

    SciTech Connect (OSTI)

    Millar, M; Bunch, J; Vyas, A; Kaplan, M; Knorr, R; Mendiratta, V; Saricks, C

    1982-04-01T23:59:59.000Z

    A comprehensive set of activity and energy-demand projections for each of the major transportation modes and submodes is presented. Projections are developed for a business-as-usual scenario, which provides a benchmark for assessing the effects of potential conservation strategies. This baseline scenario assumes a continuation of present trends, including fuel-efficiency improvements likely to result from current efforts of vehicle manufacturers. Because of anticipated changes in fuel efficiency, fuel price, modal shifts, and a lower-than-historic rate of economic growth, projected growth rates in transportation activity and energy consumption depart from historic patterns. The text discusses the factors responsible for this departure, documents the assumptions and methodologies used to develop the modal projections, and compares the projections with other efforts.

  11. Development of an Energy Consumption Model at a Multi-Product Chemical Plant

    E-Print Network [OSTI]

    Wyhs, N. A.; Logsdon, J. E.

    1980-01-01T23:59:59.000Z

    Carlo technique. In some units, energy consumption does not correlate with production rate, which indicates that energy savings may be possible through better control of energy usage. The model should also lay the framework for an on-line energy...

  12. Energy Information Administration - Energy Efficiency-Table 5b. Consumption

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003of Energy for all Purposes (First

  13. Energy Information Administration/Household Vehicles Energy Consumption 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003of Energy for allExpenditures1998,

  14. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION

    SciTech Connect (OSTI)

    Bunting, Bruce G [ORNL] [ORNL

    2012-01-01T23:59:59.000Z

    Abundance of energy can be improved both by developing new sources of fuel and by improving efficiency of energy utilization, although we really need to pursue both paths to improve energy accessibility in the future. Currently, 2.7 billion people or 38% of the world s population do not have access to modern cooking fuel and depend on wood or dung and 1.4 billion people or 20% do not have access to electricity. It is estimated that correcting these deficiencies will require an investment of $36 billion dollars annually through 2030. In growing economies, energy use and economic growth are strongly linked, but energy use generally grows at a lower rate due to increased access to modern fuels and adaptation of modern, more efficient technology. Reducing environmental impacts of increased energy consumption such as global warming or regional emissions will require improved technology, renewable fuels, and CO2 reuse or sequestration. The increase in energy utilization will probably result in increased transportation fuel diversity as fuels are shaped by availability of local resources, world trade, and governmental, environmental, and economic policies. The purpose of this paper is to outline some of the recently emerging trends, but not to suggest winners. This paper will focus on liquid transportation fuels, which provide the highest energy density and best match with existing vehicles and infrastructure. Data is taken from a variety of US, European, and other sources without an attempt to normalize or combine the various data sources. Liquid transportation fuels can be derived from conventional hydrocarbon resources (crude oil), unconventional hydrocarbon resources (oil sands or oil shale), and biological feedstocks through a variety of biochemical or thermo chemical processes, or by converting natural gas or coal to liquids.

  15. Analyzing the Impact of Useless Write-Backs on the Endurance and Energy Consumption of PCM

    E-Print Network [OSTI]

    Zhang, Youtao

    regions and we present an energy model to determine the maximum energy savings that could potentially memory in the past three decades has been DRAM due to its low cost per bit and low energy consumptionAnalyzing the Impact of Useless Write-Backs on the Endurance and Energy Consumption of PCM Main

  16. Optimal Energy Consumption Scheduling Using Mechanism Design for the Future Smart Grid

    E-Print Network [OSTI]

    Wong, Vincent

    Optimal Energy Consumption Scheduling Using Mechanism Design for the Future Smart Grid Pedram may need to collect various information about users and their energy consumption behavior, which can the total energy cost. Our design requires that each user provides some information about its energy demand

  17. Experimental Analysis of Task-based Energy Consumption in Cloud Computing Systems

    E-Print Network [OSTI]

    Schneider, Jean-Guy

    computing, green cloud, energy consumption, performance analysis, energy efficiency. 1. INTRODUCTION Cloud in green cloud computing systems [4]. Many efforts have been made to improve the energy efficiency of cloudExperimental Analysis of Task-based Energy Consumption in Cloud Computing Systems Feifei Chen, John

  18. Managing the Cost, Energy Consumption, and Carbon Footprint of Internet Services

    E-Print Network [OSTI]

    Bianchini, Ricardo

    or "green" energy. This paper introduces a general, optimization-based framework for enabling multi-data-center services to manage their brown en- ergy consumption and leverage green energy, while respecting their SLAs. "green" or renewable energy.) We argue that placing caps on the brown energy consumption of data centers

  19. Modelling Office Energy Consumption: An Agent Based Approach , Peer-Olaf Siebers1

    E-Print Network [OSTI]

    Aickelin, Uwe

    1 Modelling Office Energy Consumption: An Agent Based Approach Tao Zhang1 , Peer-Olaf Siebers1 integrates four important elements, i.e. organisational energy management policies/regulations, energy, to simulate the energy consumption in office buildings. With the model, we test the effectiveness of different

  20. TV Energy Consumption Trends and Energy-Efficiency Improvement Options

    SciTech Connect (OSTI)

    Park, Won Young; Phadke, Amol; Shah, Nihar; Letschert, Virginie

    2011-07-01T23:59:59.000Z

    The SEAD initiative aims to transform the global market by increasing the penetration of highly efficient equipment and appliances. SEAD is a government initiative whose activities and projects engage the private sector to realize the large global energy savings potential from improved appliance and equipment efficiency. SEAD seeks to enable high-level global action by informing the Clean Energy Ministerial dialogue as one of the initiatives in the Global Energy Efficiency Challenge. In keeping with its goal of achieving global energy savings through efficiency, SEAD was approved as a task within the International Partnership for Energy Efficiency Cooperation (IPEEC) in January 2010. SEAD partners work together in voluntary activities to: (1) ?raise the efficiency ceiling? by pulling super-efficient appliances and equipment into the market through cooperation on measures like incentives, procurement, awards, and research and development (R&D) investments; (2) ?raise the efficiency floor? by working together to bolster national or regional policies like minimum efficiency standards; and (3) ?strengthen the efficiency foundations? of programs by coordinating technical work to support these activities. Although not all SEAD partners may decide to participate in every SEAD activity, SEAD partners have agreed to engage actively in their particular areas of interest through commitment of financing, staff, consultant experts, and other resources. In addition, all SEAD partners are committed to share information, e.g., on implementation schedules for and the technical detail of minimum efficiency standards and other efficiency programs. Information collected and created through SEAD activities will be shared among all SEAD partners and, to the extent appropriate, with the global public.As of April 2011, the governments participating in SEAD are: Australia, Brazil, Canada, the European Commission, France, Germany, India, Japan, Korea, Mexico, Russia, South Africa, Sweden, the United Arab Emirates, the United Kingdom, and the United States. More information on SEAD is available from its website at http://www.superefficient.org/.

  1. Changing Trends: A Brief History of the US Household Consumption of Energy, Water, Food, Beverages and Tobacco

    E-Print Network [OSTI]

    in energy consumption. Patterns of Consumption--Historic Trends Electricity & Gas We'll start with historicChanging Trends: A Brief History of the US Household Consumption of Energy, Water, Food, Beverages analysis of consumption patterns of different commodities in the U.S. shed light on the consumption

  2. 2009 Energy Consumption Per Person | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataCombinedDepartment ofCareersWind Vision:#EnergyFaceoff100% Cleansecurity09

  3. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,

  4. Analyzing the Trade-offs Between Minimizing Makespan and Minimizing Energy Consumption in a Heterogeneous Resource Allocation Problem

    E-Print Network [OSTI]

    Maciejewski, Anthony A.

    Analyzing the Trade-offs Between Minimizing Makespan and Minimizing Energy Consumption@engr.colostate.edu, wcoliver@rams.colostate.edu, HJ@colostate.edu, aam@colostate.edu Abstract--The energy consumption of data their energy consumption while maintaining a high level of performance. Minimizing energy consumption while

  5. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to User Group and UserofProtein structureAnalysis of Partondefault

  6. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B C D EHistoricalU.S.U.S.Information

  7. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B C D

  8. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B C DInformation Administration

  9. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B C DInformation

  10. Residential Energy Consumption Survey (RECS) - Data - U.S. Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B C DInformationInformation

  11. Residential Energy Consumption Survey (RECS) - U.S. Energy Information

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B C

  12. Residential Energy Consumption Survey (RECS) - U.S. Energy Information

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministration (EIA) About the

  13. Residential Energy Consumption Survey (RECS) - U.S. Energy Information

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministration (EIA) About

  14. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil andMCKEESPORTforInformation

  15. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil andMCKEESPORTforInformationInformation

  16. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy81 §98U.S.

  17. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy81 §98U.S.Information

  18. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy81

  19. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy81Information

  20. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy81InformationInformation

  1. Manufacturing Energy Consumption Survey (MECS) - Residential - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,Information Administration (EIA) Early-release

  2. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,Information Administration (EIA)

  3. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,Information Administration (EIA)Administration

  4. Energy Information Administration - Energy Efficiency-Table 5a. Consumption

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003

  5. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shownshortHouseholdsValues

  6. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010Barrels)BuildingsInformation

  7. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87

  8. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9, 2015Year109 Appendix C278 2.281

  9. An Evaluation of the Sustainability and Scalability of Business Models that Support Low-cost Assisted Home Energy Assessments Using A Cost Benefit Analysis.

    E-Print Network [OSTI]

    Hinsey, Jason

    2012-01-01T23:59:59.000Z

    ??Energy costs and forecasted climate change have recently prompted organizations withinthe residential building sector and homeowners alike to increase their attention towards reducingresidential energy consumption. (more)

  10. End use energy consumption data base: transportation sector

    SciTech Connect (OSTI)

    Hooker, J.N.; Rose, A.B.; Greene, D.L.

    1980-02-01T23:59:59.000Z

    The transportation fuel and energy use estimates developed a Oak Ridge National Laboratory (ORNL) for the End Use Energy Consumption Data Base are documented. The total data base contains estimates of energy use in the United States broken down into many categories within all sectors of the economy: agriculture, mining, construction, manufacturing, commerce, the household, electric utilities, and transportation. The transportation data provided by ORNL generally cover each of the 10 years from 1967 through 1976 (occasionally 1977 and 1978), with omissions in some models. The estimtes are broken down by mode of transport, fuel, region and State, sector of the economy providing transportation, and by the use to which it is put, and, in the case of automobile and bus travel, by the income of the traveler. Fuel types include natural gas, motor and aviation gasoline, residual and diesel oil, liuqefied propane, liquefied butane, and naphtha- and kerosene-type jet engine fuels. Electricity use is also estimated. The mode, fuel, sector, and use categories themselves subsume one, two, or three levels of subcategories, resulting in a very detailed categorization and definitive accounting.

  11. Comfort, Indoor Air Quality, and Energy Consumption in Low Energy Homes

    SciTech Connect (OSTI)

    Engelmann, P.; Roth, K.; Tiefenbeck, V.

    2013-01-01T23:59:59.000Z

    This report documents the results of an in-depth evaluation of energy consumption and thermal comfort for two potential net zero-energy homes (NZEHs) in Massachusetts, as well as an indoor air quality (IAQ) evaluation performed in conjunction with Lawrence Berkeley National Laboratory (LBNL).

  12. Field usage and its impact on energy consumption of refrigerator/freezers

    SciTech Connect (OSTI)

    Gage, C.L. [Environmental Protection Agency, Research Triangle Park, NC (United States). Air Pollution Prevention and Control Div.

    1995-12-31T23:59:59.000Z

    This study investigated the effect of door openings and kitchen environment on the energy consumption of nine household refrigerator/freezers (R/Fs) in the field. The factors under consideration include fresh food and freezer door openings, length of door openings, ambient kitchen temperature, and kitchen relative humidity (RH). Average daily energy consumption for the nine units ranged from 1.7 to 5.3 kWh/day. Energy consumption was found to correlate with kitchen temperature and the number of door openings. No dependence on kitchen relative humidity was found. In general, the magnitude of the door opening component of energy consumption was higher for the more efficient units.

  13. Energy Consumption Analyses of Frequently-used HVAC System Types in High Performance Office Buildings.

    E-Print Network [OSTI]

    Yan, Liusheng

    2014-01-01T23:59:59.000Z

    ??The high energy consumption of heating, ventilation and air-conditioning (HVAC) systems in commercial buildings is a hot topic. Office buildings, a typical building set of (more)

  14. Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

    2012-01-01T23:59:59.000Z

    optimal control design for HVAC systems, in Proc. Dynamicelectricity consumption in hvac using learning- based model-algorithm design for hvac systems in energy efficient

  15. European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind Generation by a Dynamic

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind. Abstract-Short-term wind power forecasting is recognized nowadays as a major requirement for a secure and economic integration of wind power in a power system. In the case of large-scale integration, end users

  16. Bounds on the Energy Consumption of Routings in Wireless Sensor Networks

    E-Print Network [OSTI]

    Voigt, Thiemo

    Bounds on the Energy Consumption of Routings in Wireless Sensor Networks Juan Alonso1 , Adam. Energy is one of the most important resources in wireless sensor networks. We use an idealized mathematical model to study the impact of routing on energy consumption. We find explicit bounds on the minimal

  17. Bounds on the Energy Consumption of Routings in Wireless Sensor Networks

    E-Print Network [OSTI]

    Bounds on the Energy Consumption of Routings in Wireless Sensor Networks Juan Alonso1 , Adam Technical Report T2003:22 ISSN 1100-3154 ISRN:SICS-T­2003/22-SE Abstract. Energy is one of the most of routing on energy consumption. Our results are very general and, within the assumptions listed in Section

  18. EvaluatingMobilePhonesasEnergyConsumptionFeedbackDevices MarkusWeiss*

    E-Print Network [OSTI]

    EvaluatingMobilePhonesasEnergyConsumptionFeedbackDevices MarkusWeiss* ,ClaireManagement,ETHZurich Abstract. With smart electricity meters being widely deployed, data on residential energy usage of mobile phones as an interface to provide feedback on overall and de- vice-related energy consumption

  19. An Opportunistic Scheduler To Balance Performance Measures and Energy Consumption in Wireless Networks: Design and Implementation

    E-Print Network [OSTI]

    Yau, David K Y

    An Opportunistic Scheduler To Balance Performance Measures and Energy Consumption in Wireless scheduler that can balance the energy consumption by an idle system and the performance of motion prediction Chinese University of Hong Kong Shatin, Hong Kong cslui@cse.cuhk.edu.hk Abstract Energy management

  20. Non-Blocking, Localized Routing Algorithm for Balanced Energy Consumption in Mobile Ad Hoc Networks

    E-Print Network [OSTI]

    Lee, Ben

    1 Non-Blocking, Localized Routing Algorithm for Balanced Energy Consumption in Mobile Ad Hoc relevant nodes but also to balance individual battery levels. Unbalanced energy usage will result achieves a trade-off between balanced energy consumption and shortest routing delay, and at the same time

  1. 1. INTRODUCTION Energy consumption and noise emission are the most im-

    E-Print Network [OSTI]

    Podgornik, Rudolf

    1. INTRODUCTION Energy consumption and noise emission are the most im- portant functional of clothes drying machines, the most important concerns are the energy efficient design of primary into the strategy for the reduction of energy consumption of the drying machine. The difference between various

  2. PREDICTING ENERGY CONSUMPTION OF MPEG VIDEO PLAYBACK ON HANDHELDS Srijan Chakraborty and David K. Y. Yau

    E-Print Network [OSTI]

    Yau, David K Y

    PREDICTING ENERGY CONSUMPTION OF MPEG VIDEO PLAYBACK ON HANDHELDS Srijan Chakraborty and David K. Y to construct simple polynomial models of energy us- age with good least square fit (R value of 0.92 and higher computing is the need to re- duce the energy consumption of these devices, thereby increasing the lifetime

  3. Abstract--Energy consumption and the concomitant Green House Gases (GHG) emissions of network infrastructures are

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    Abstract--Energy consumption and the concomitant Green House Gases (GHG) emissions of network on the overall power consumption and on the GHG emissions with just 25% of green energy sources. I. INTRODUCTION]. In the zero carbon approach, renewable (green) energy sources (e.g. sun, wind, tide) are employed and no GHGs

  4. Evaluating Network-Based DoS Attacks Under the Energy Consumption Perspective

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    with great opportunities for raising the target facility energy consumption and consequently its green house green, energy- sustainable computing paradigms has gained a lot of attention in both the researchEvaluating Network-Based DoS Attacks Under the Energy Consumption Perspective New security issues

  5. Comparison of Static and Dynamic WDM Networks in Terms of Energy Consumption

    E-Print Network [OSTI]

    López, Víctor

    Comparison of Static and Dynamic WDM Networks in Terms of Energy Consumption A. Leiva1 , J. M from static to dynamic WDM networks is evaluated, for the first time, in terms of energy consumption Currently, telecommunication networks have been reported to account for 1-10% of the world's energy

  6. Web-Based Method to Generate Specific Energy Consumption Data for the Evaluation and Optimization of Building Operation

    E-Print Network [OSTI]

    Wagner, A.; Wambsgan, M.; Froehlich, S.

    2004-01-01T23:59:59.000Z

    about energy consumptionand specific data especially in large building stocks?user complaints and energy consumption arerarely considered in building operation?reduction of energy consumption and operation costsas well as ensuring a high work space... consumption specific heating energy consumption buildings with additional technical usage (control room)without arithmetic mean consumption related to the heated net floor area; data measured one full year: 02-2001 to 02-2002 specific yearly energy...

  7. Energy Policy The university is committed to reducing its consumption of energy and promoting low carbon, energy

    E-Print Network [OSTI]

    Haase, Markus

    Energy Policy June 2009 The university is committed to reducing its consumption of energy and promoting low carbon, energy saving and energy efficiency initiatives as part of its Sustainable Development programme. Tackling climate change is one of our highest priorities and this reflects UK policy. Our Energy

  8. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01T23:59:59.000Z

    LPG is a major energy source, while coal and electricity arethe total residential energy and coal is the dominant fuel.1 Residential Energy consumption by End-use Coal Renewables

  9. Machine Learning for Demand Forecasting in Smart Grid Saima Aman, Wei Yin, Yogesh Simmhan, and Viktor Prasanna

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    Machine Learning for Demand Forecasting in Smart Grid Saima Aman, Wei Yin, Yogesh Simmhan for forecasting the energy consumption patterns in the USC campus microgrid, which can be used for energy use of AMIs and data collection in a Smart Grid environment means that all applications, including demand

  10. An Integrated Geovisual Analytics Framework for Analysis of Energy Consumption Data and Renewable Energy Potentials

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A [ORNL; Maness, Christopher S [ORNL; Kramer, Ian S [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL; Steed, Chad A [ORNL; Karthik, Rajasekar [ORNL; Nugent, Philip J [ORNL; Myers, Aaron T [ORNL

    2012-01-01T23:59:59.000Z

    We present an integrated geovisual analytics framework for utility consumers to interactively analyze and benchmark their energy consumption. The framework uses energy and property data already available with the utility companies and county governments respectively. The motivation for the developed framework is the need for citizens to go beyond the conventional utility bills in understanding the patterns in their energy consumption. There is also a need for citizens to go beyond one-time improvements that are often not monitored and measured over time. Some of the features of the framework include the ability for citizens to visualize their historical energy consumption data along with weather data in their location. The quantity of historical energy data available is significantly more than what is available from utility bills. An overlay of the weather data provides users with a visual correlation between weather patterns and their energy consumption patterns. Another feature of the framework is the ability for citizens to compare their consumption on an aggregated basis to that of their peers other citizens living in houses of similar size and age and within the same or different geographical boundaries, such as subdivision, zip code, or county. The users could also compare their consumption to others based on the size of their family and other attributes. This feature could help citizens determine if they are among the best in class . The framework can also be used by the utility companies to better understand their customers and to plan their services. To make the framework easily accessible, it is developed to be compatible with mobile consumer electronics devices.

  11. Capping the Brown Energy Consumption of Internet Services at Low Cost

    E-Print Network [OSTI]

    energy" (produced via carbon-intensive means) relative to renewable or "green" energy. This paper their brown energy consumption and lever- age green energy, while respecting their SLAs and minimizing energy-intensive energy as "brown" energy, in contrast with "green" or renewable energy.) We argue that placing caps

  12. A new "In-Use Energy consumption" indicator for the design of energy efficient electr(on)ics

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A new "In-Use Energy consumption" indicator for the design of energy efficient electr(on)ics Lucie(on)ic equipment is proposed for illustration purposes. Keywords: Energy efficiency; energy consumption; electric version received 23 February 2011) One of the challenging environmental issues faced by the electr

  13. Test application of a semi-objective approach to wind forecasting for wind energy applications

    SciTech Connect (OSTI)

    Wegley, H.L.; Formica, W.J.

    1983-07-01T23:59:59.000Z

    The test application of the semi-objective (S-O) wind forecasting technique at three locations is described. The forecasting sites are described as well as site-specific forecasting procedures. Verification of the S-O wind forecasts is presented, and the observed verification results are interpreted. Comparisons are made between S-O wind forecasting accuracy and that of two previous forecasting efforts that used subjective wind forecasts and model output statistics. (LEW)

  14. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations the Northern Study Area.

    SciTech Connect (OSTI)

    Finley, Cathy [WindLogics

    2014-04-30T23:59:59.000Z

    This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

  15. Minimum Energy Consumption in Multicomponent Distillation. 1. Vmin Diagram for a Two-Product Column

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Minimum Energy Consumption in Multicomponent Distillation. 1. Vmin Diagram for a Two-Product Column how the minimum energy consumption is related to the feed-component distribution for all possible operating points in a two-product distillation column with a multicomponent feed. The classical Underwood

  16. A Hybrid Solid-State Storage Architecture for the Performance, Energy Consumption, and Lifetime Improvement

    E-Print Network [OSTI]

    Giles, C. Lee

    A Hybrid Solid-State Storage Architecture for the Performance, Energy Consumption, and Lifetime-place updating so that it significantly im- proves the usage efficiency of log pages by eliminating out- of results show that our proposed methods can substantially improve the perfor- mance, energy consumption

  17. UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE

    E-Print Network [OSTI]

    Diallo, Ibrahima

    2013-05-31T23:59:59.000Z

    UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE By 2013 IBRAHIMA DIALLO Submitted to the graduate degree program in Economics and the Graduate Faculty of the University of Kansas... version of the following dissertation: UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE ________________________________ (Chairperson) William A. Barnett Date...

  18. THE NEXUS BETWEEN ENERGY CONSUMPTION AND ECONOMIC GROWTH IN OECD COUNTRIES: A DECOMPOSITION ANALYSIS

    E-Print Network [OSTI]

    1 THE NEXUS BETWEEN ENERGY CONSUMPTION AND ECONOMIC GROWTH IN OECD COUNTRIES: A DECOMPOSITION ANALYSIS Sahar Shafiei, Ruhul A. Salim and Helen Cabalu School of Economics & Finance, Curtin Business the impacts of renewable and non-renewable energy consumption on economic activities to find out whether

  19. Strip, Bind, and Search: A Method for Identifying Abnormal Energy Consumption in Buildings

    E-Print Network [OSTI]

    California at Berkeley, University of

    towards reducing the building's en- ergy consumption is to prevent electricity waste due to the improperStrip, Bind, and Search: A Method for Identifying Abnormal Energy Consumption in Buildings Romain, operators are relying more on historical data pro- cessing to uncover opportunities for energy-savings. How

  20. Today's Forecast: Improved Wind Predictions | Department of Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatusButler Tina ButlerToday in Energy Today in Energy!EIA's Today