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Sample records for balance energy consumption

  1. Smart Meters Help Balance Energy Consumption at Solar Decathlon |

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

    Department of Energy Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon September 28, 2011 - 10:57am Addthis The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated

  2. Smart Meters Help Balance Energy Consumption at Solar Decathlon

    Broader source: Energy.gov [DOE]

    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.

  3. Manufacturing Consumption of Energy 1991--Combined Consumption...

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

    call 202-586-8800 for help. Return to Energy Information Administration Home Page. Home > Energy Users > Manufacturing > Consumption and Fuel Switching Manufacturing Consumption of...

  4. Balance Energy | Open Energy Information

    Open Energy Info (EERE)

    Balance Energy Jump to: navigation, search Name: Balance Energy Place: San Diego, California Zip: 92127-1874 Product: California-based end to end smart grid developer. References:...

  5. National Lighting Energy Consumption

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

    Lighting Energy National Lighting Energy Consumption Consumption 390 Billion kWh used for lighting in all 390 Billion kWh used for lighting in all commercial buildings in commercial buildings in 2001 2001 LED (<.1% ) Incandescent 40% HID 22% Fluorescent 38% Lighting Energy Consumption by Lighting Energy Consumption by Breakdown of Lighting Energy Breakdown of Lighting Energy Major Sector and Light Source Type Major Sector and Light Source Type Source: Navigant Consulting, Inc., U.S. Lighting

  6. Manufacturing Consumption of Energy 1994

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

    (MECS) > MECS 1994 Combined Consumption and Fuel Switching Manufacturing Energy Consumption Survey 1994 (Combined Consumption and Fuel Switching) Manufacturing Energy Consumption...

  7. Office Buildings - Energy Consumption

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

    Energy Consumption Office buildings consumed more than 17 percent of the total energy used by the commercial buildings sector (Table 4). At least half of total energy, electricity,...

  8. Commercial Buildings Energy Consumption and Expenditures 1992...

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

    Consumption and Expenditures Electricity Consumption Natural Gas Consumption Wood and Solar Energy Consumption Fuel Oil and District Heat Consumption Energy Consumption in...

  9. Energy Information Administration - Transportation Energy Consumption...

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

    Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the...

  10. Manufacturing Consumption of Energy 1994

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

    Detailed Tables 28 Energy Information AdministrationManufacturing Consumption of Energy 1994 1. In previous MECS, the term "primary energy" was used to denote the "first use" of...

  11. Final Report Balancing energy conservation and occupant needs in ventilation rate standards for Big Box stores in California. Predicted indoor air quality and energy consumption using a matrix of ventilation scenarios

    SciTech Connect (OSTI)

    Apte, Michael G.; Mendell, Mark J.; Sohn, Michael D.; Dutton, Spencer M.; Berkeley, Pam M.; Spears, Michael

    2011-02-01

    Through mass-balance modeling of various ventilation scenarios that might satisfy the ASHRAE 62.1 Indoor Air Quality (IAQ) Procedure, we estimate indoor concentrations of contaminants of concern (COCs) in California big box stores, compare estimates to available thresholds, and for selected scenarios estimate differences in energy consumption. Findings are intended to inform decisions on adding performance-based approaches to ventilation rate (VR) standards for commercial buildings. Using multi-zone mass-balance models and available contaminant source rates, we estimated concentrations of 34 COCs for multiple ventilation scenarios: VRmin (0.04 cfm/ft2 ), VRmax (0.24 cfm/ft2 ), and VRmid (0.14 cfm/ft2 ). We compared COC concentrations with available health, olfactory, and irritant thresholds. We estimated building energy consumption at different VRs using a previously developed EnergyPlus model. VRmax did control all contaminants adequately, but VRmin did not, and VRmid did so only marginally. Air cleaning and local ventilation near strong sources both showed promise. Higher VRs increased indoor concentrations of outdoor air pollutants. Lowering VRs in big box stores in California from VRmax to VRmid would reduce total energy use by an estimated 6.6% and energy costs by 2.5%. Reducing the required VRs in Californias big box stores could reduce energy use and costs, but poses challenges for health and comfort of occupants. Source removal, air cleaning, and local ventilation may be needed at reduced VRs, and even at current recommended VRs. Also, alternative ventilation strategies taking climate and season into account in ventilation schedules may provide greater energy cost savings than constant ventilation rates, while improving IAQ.

  12. Household Vehicles Energy Consumption 1991

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

    or commercial trucks (See Table 1). Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 5 The 1991 RTECS count includes vehicles that were owned or used...

  13. Manufacturing Consumption of Energy 1994

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

    Natural Gas to Residual Fuel Oil, by Industry Group and Selected Industries, 1994 369 Energy Information AdministrationManufacturing Consumption of Energy 1994 SIC Residual...

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

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

    5A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Fuel Oil Consumption (million gallons) Total Floorspace of Buildings Using...

  15. 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...

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

    Gasoline and Diesel Fuel Update (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...

  17. 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...

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

    Annual Energy Outlook [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...

  19. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook [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...

  20. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (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...

  1. 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)...

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

    Annual Energy Outlook [U.S. Energy Information Administration (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...

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

    Annual Energy Outlook [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...

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

    Annual Energy Outlook [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...

  5. 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...

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

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

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

  7. Residential Energy Consumption Survey:

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

    ... ...*...,,.<,<,...,,.,,.,,. 97 Table 6. Residential Fuel Oil and Kerosene Consumption and Expenditures April 1979 Through March 1980 Northeast...

  8. Energy Preview: Residential Transportation Energy Consumption...

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

    t 7 Energy Preview: Residential Transportation Energy Consumption Survey, Preliminary Estimates, 1991 (See Page 1) This publication and other Energy Information Administration...

  9. Manufacturing Consumption of Energy 1994

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

    2(94) Distribution Category UC-950 Manufacturing Consumption of Energy 1994 December 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of...

  10. Household Vehicles Energy Consumption 1991

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

    of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the...

  11. Household Vehicles Energy Consumption 1991

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

    logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991...

  12. Manufacturing consumption of energy 1991

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    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.

  13. ARM - Measurement - Surface energy balance

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

    energy balance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Surface energy balance The energy balance at the earth's surface between the net radiation and the sensible and latent heat fluxes and ground heat flux. Categories Surface Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each

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

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

    purchase diaries from a subset of respondents composing a Household Transportation Panel and is reported separately. Residential Energy Consumption Survey: Consumption and...

  15. Energy Intensity Indicators: Commercial Source Energy Consumption |

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

    Department of Energy Commercial Source Energy Consumption Energy Intensity Indicators: Commercial Source Energy Consumption Figure C1 below reports as index numbers over the period 1970 through 2011: 1) commercial building floor space, 2) energy use based on source energy consumption, 3) energy intensity, and 4) the year-to-year influence of weather. Activity: Since 1970, the quantity of commercial floor space has nearly doubled, with about half of that increase occurring after 1985. There

  16. Energy Intensity Indicators: Residential Source Energy Consumption |

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

    Department of Energy Residential Source Energy Consumption Energy Intensity Indicators: Residential Source Energy Consumption Figure R1 below reports as index numbers over the period 1970 through 2011: 1) the number of U.S. households, 2) the average size of those housing units, 3) residential source energy consumption, 4) energy intensity, and 5) an overall structural component that represents "other explanatory factors." Activity: Since 1970, the number of household (occupied

  17. Household Vehicles Energy Consumption 1991

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

    16.8 17.4 18.6 18.9 1.7 2.2 0.6 1.5 Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 15 Vehicle Miles Traveled per Vehicle (Thousand) . . . . . . . . ....

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

    Annual Energy Outlook [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...

  19. Energy Intensity Indicators: Industrial Source Energy Consumption |

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

    Department of Energy Industrial Source Energy Consumption Energy Intensity Indicators: Industrial Source Energy Consumption The industrial sector comprises manufacturing and other nonmanufacturing industries not included in transportation or services. Manufacturing includes 18 industry sectors, generally defined at the three-digit level of the North American Industrial Classification System (NAICS). The nonmanufacturing sectors are agriculture, forestry and fisheries, mining, and

  20. Household Vehicles Energy Consumption 1991

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

    for 1994, will continue the 3-year cycle. The RTECS, a subsample of the Residential Energy Consumption Survey (RECS), is an integral part of a series of surveys designed by...

  1. Transportation Energy Consumption Surveys

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

    Electricity Hydropower Biofuels: Ethanol & Biodiesel Wind Geothermal Solar Energy in Brief How much U.S. electricity is generated from renewable energy?...

  2. 2009 Energy Consumption Per Person | Department of Energy

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

    2009 Energy Consumption Per Person 2009 Energy Consumption Per Person 2009 Energy Consumption Per Person Per capita energy consumption across all sectors of the economy. Click on a state for more information.

  3. Energy Intensity Indicators: Transportation Energy Consumption | Department

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

    of Energy Transportation Energy Consumption Energy Intensity Indicators: Transportation Energy Consumption This section contains an overview of the aggregate transportation sector, combining both passenger and freight segments of this sector. The specific energy intensity indicators for passenger and freight can be obtained from the links, passenger transportation, or freight transportation. For further detail within the transportation sector, download the appropriate Trend Data worksheet

  4. Building Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-03-02

    DOE2.1E-121SUNOS is a set of modules for energy analysis in buildings. Modules are included to calculate the heating and cooling loads for each space in a building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating, cooling and ventilation to the building (SYSTEMS), to model energy conversion equipment that uses fuel or electricity to provide the required heating,more » cooling and electricity (PLANT), and to compute the cost of energy and building operation based on utility rate schedule and economic parameters (ECONOMICS).« less

  5. Building Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-01-24

    DOE2.1E-121 is a set of modules for energy analysis in buildings. Modules are included to calculate the heating and cooling loads for each space in a building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating, cooling and ventilation to the building (SYSTEMS), to model energy conversion equipment that uses fuel or electricity to provide the required heating,more » cooling and electricity (PLANT), and to compute the cost of energy and building operation based on utility rate schedule and economic parameters (ECONOMICS). DOE2.1E-121 contains modifications to DOE2.1E which allows 1000 zones to be modeled.« less

  6. Community Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    1992-02-21

    The TDIST3 program performs an analysis of large integrated community total energy systems (TES) supplying thermal and electrical energy from one or more power stations. The program models the time-dependent energy demands of a group of representative building types, distributes the thermal demands within a thermal utility system (TUS), simulates the dynamic response of a group of power stations in meeting the TUS demands, and designs an optimal base-loaded (electrically) power plant and thermal energymore » storage reservoir combination. The capital cost of the TES is evaluated. The program was developed primarily to analyze thermal utility systems supplied with high temperature water (HTW) from more than one power plant. The TUS consists of a transmission loop and secondary loops with a heat exchanger linking each secondary loop to the transmission loop. The power stations electrical output supplies all community buildings and the HTW supplies the thermal demand of the buildings connected through the TUS, a piping network. Basic components of the TES model are one or more power stations connected to the transmission loop. These may be dual-purpose, producing electricity and HTW, or just heating plants producing HTW. A thermal storage reservoir is located at one power station. The secondary loops may have heating plants connected to them. The transmission loop delivers HTW to local districts; the secondary loops deliver the energy to the individual buildings in a district.« less

  7. Alternative Fuels Data Center: Lifecycle Energy Balance

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFDC Printable Version Share this resource Send a link to Alternative Fuels Data Center: Lifecycle Energy Balance to someone by E-mail Share Alternative Fuels Data Center: Lifecycle Energy Balance on Facebook Tweet about Alternative Fuels Data Center: Lifecycle Energy Balance on Twitter Bookmark Alternative Fuels Data Center: Lifecycle Energy Balance on Google Bookmark Alternative Fuels Data Center: Lifecycle Energy Balance on Delicious Rank Alternative Fuels Data Center: Lifecycle Energy

  8. Manufacturing consumption of energy 1994

    SciTech Connect (OSTI)

    1997-12-01

    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.

  9. Visualization of United States Energy Consumption | Open Energy...

    Open Energy Info (EERE)

    Energy Consumption Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Visualization of United States Energy Consumption AgencyCompany Organization: Energy Information...

  10. 2014 Manufacturing Energy Consumption Survey

    Gasoline and Diesel Fuel Update (EIA)

    U S C E N S U S B U R E A U 2014 Manufacturing Energy Consumption Survey Sponsored by the Energy Information Administration U.S. Department of Energy Administered and Compiled by the Bureau of the Census U.S. Department of Commerce Form EIA-846 (mm-dd-yy) OMB Approval No. xxxx-xxxx Expires: mm/dd/yyyy Report Electronically: www.census.gov/ econhelp/mecs Username: Password: Reporting electronically allows you to save your work as you go through the form and could save you time If you need

  11. Lithium Balance | Open Energy Information

    Open Energy Info (EERE)

    Balance Jump to: navigation, search Name: Lithium Balance Place: Copenhagen, Denmark Product: Lithium ion battery developer. References: Lithium Balance1 This article is a stub....

  12. Energy consumption in thermomechanical pulping

    SciTech Connect (OSTI)

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

    1981-08-01

    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.

  13. Energy Balance Bowen Ratio System

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

    0 Energy Balance Bowen Ratio System Estimates of surface energy fluxes are a primary product of the data collection systems at the ARM SGP CART site. Surface fluxes tell researchers a great deal about the effects of interactions between the sun's energy and Earth. Surface fluxes of latent and sensible heat can be estimated by measuring temperature and relative humidity gradients across a vertical distance. Sensible heat is what we feel coming from a warm sidewalk or a metal car door; it can be

  14. Commercial Buildings Energy Consumption and Expenditures 1992

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

    Distribution Category UC-950 Commercial Buildings Energy Consumption and Expenditures 1992 April 1995 Energy Information Adminstration Office of Energy Markets and End Use U.S....

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

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

    Survey (MECS) Steel Analysis Brief Chemical Industry Analysis Brief Change Topic: Steel | Chemical JUMP TO: Introduction | Energy Consumption | Energy Expenditures | Producer Prices and Production | Energy Intensity | Energy Management Activities | Fuel Switching Capacity Introduction The chemical industries are a cornerstone of the U.S. economy, converting raw materials such as oil, natural gas, air, water, metals, and minerals into thousands of various products. Chemicals are key materials

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

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

    Survey (MECS) Steel Analysis Brief Steel Industry Analysis Brief Change Topic: Steel | Chemical JUMP TO: Introduction | Energy Consumption | Energy Expenditures | Producer Prices and Production | Energy Intensity | Energy Management Activities Introduction The steel industry is critical to the U.S. economy. Steel is the material of choice for many elements of construction, transportation, manufacturing, and a variety of consumer products. It is the backbone of bridges, skyscrapers,

  17. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    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.

  18. Consumption

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

    5. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for Non-Mall Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,"Total Floorspace of...

  19. Consumption

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

    3. Fuel Oil Consumption and Conditional Energy Intensity by Census Region, 1999" ,"Total Fuel Oil Consumption (million gallons)",,,,"Total Floorspace of Buildings Using Fuel Oil...

  20. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,,,"Total Floorspace of...

  1. Consumption

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

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

  2. Consumption

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

    A. Electricity Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of...

  3. Consumption

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

    3. Electricity Consumption and Conditional Energy Intensity, 1999" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of Buildings Using Electricity (million square...

  4. Consumption

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

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

  5. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Building Size for Non-Mall Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of...

  6. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Census Division for Non-Mall Buildings, 2003: Part 1" ,"Total Electricity Consumption (billion kWh)",,,"Total...

  7. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Census Division for Non-Mall Buildings, 2003: Part 2" ,"Total Electricity Consumption (billion kWh)",,,"Total...

  8. Consumption

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

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

  9. Consumption

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

    Electricity Consumption and Conditional Energy Intensity by Census Region, 1999" ,"Total Electricity Consumption (billion kWh)",,,,"Total Floorspace of Buildings Using Electricity...

  10. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Census Region for Non-Mall Buildings, 2003" ,"Total Electricity Consumption (billion kWh)",,,,"Total Floorspace of...

  11. Consumption

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

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

  12. Consumption

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

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

  13. Consumption

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

    4. Electricity Consumption and Conditional Energy Intensity by Year Constructed, 1999" ,"Total Electricity Consumption (billion kWh)",,,"Total Floorspace of Buildings Using...

  14. Consumption

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

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

  15. Consumption

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

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

  16. Consumption

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

    . Electricity Consumption and Conditional Energy Intensity by Census Division for Non-Mall Buildings, 2003: Part 3" ,"Total Electricity Consumption (billion kWh)",,,"Total...

  17. Consumption

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

    A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,"Total Floorspace of Buildings...

  18. Trends in Renewable Energy Consumption and Electricity

    Reports and Publications (EIA)

    2012-01-01

    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.

  19. Commercial Buildings Energy Consumption and Expenditures 1992

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

    Appendix A How the Survey Was Conducted Introduction The Commercial Buildings Energy Consumption Survey (CBECS) is conducted by the Energy Information Administration (EIA) on a...

  20. Issues in International Energy Consumption Analysis: Canadian...

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

    Canadian Energy Demand June 2015 Independent Statistics & ... DC 20585 U.S. Energy Information Administration | Issues ... change in household electricity consumption between 1990 ...

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

    DOE Patents [OSTI]

    Donnelly, Matthew K.; Chassin, David P.; Dagle, Jeffery E.; Kintner-Meyer, Michael; Winiarski, David W.; Pratt, Robert G.; Boberly-Bartis, Anne Marie

    2006-03-07

    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.

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

    DOE Patents [OSTI]

    Donnelly, Matthew K.; Chassin, David P.; Dagle, Jeffery E.; Kintner-Meyer, Michael; Winiarski, David W.; Pratt, Robert G.; Boberly-Bartis, Anne Marie

    2008-09-02

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

  3. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    1995-10-05

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

  4. Trends in Commercial Buildings--Trends in Energy Consumption...

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

    2 Part 1. Energy Consumption Data Tables Total Energy Intensity Intensity by Energy Source Background: Site and Primary Energy Trends in Energy Consumption and Energy Sources Part...

  5. Commercial Buildings Energy Consumption and Expenditures 1992

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

    Appendix I Related EIA Publications on Energy Consumption For information about how to obtain these publi- cations, see the inside cover of this report. Please note that the...

  6. Commercial Buildings Energy Consumption and Expenditures 1992

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

    in this report were based on monthly billing records submitted by the buildings' energy suppliers. The section, "Annual Consumption and Expenditures" provide a detailed...

  7. ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; GREENHOUSES...

    Office of Scientific and Technical Information (OSTI)

    fuel-fired peak heating for geothermal greenhouses Rafferty, K. 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; GREENHOUSES; AUXILIARY HEATING; CAPITALIZED COST; OPERATING...

  8. Derived Annual Estimates of Manufacturing Energy Consumption...

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

    > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This...

  9. Household Vehicles Energy Consumption 1994 - Appendix C

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

    discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on...

  10. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

    Gasoline and Diesel Fuel Update (EIA)

    that extend from the foundation to the roof. Data collection for the 2012 Commercial Buildings Energy Consumption Survey (CBECS) took place between April and November 2013,...

  11. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projection...

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

    Manufacturing Activity between 2002 and 2010 Released: March 19, 2013 Total energy consumption in the manufacturing sector decreased by 17% from 2002 to 2010, according to data...

  12. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    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.

  13. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    1995-07-01

    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.

  14. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    1996-10-01

    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.

  15. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

    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.

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

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

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

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

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

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

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

    Gasoline and Diesel Fuel Update (EIA)

    4A. Fuel Oil Consumption and Expenditure Intensities for All Buildings, 2003 Fuel Oil Consumption Fuel Oil Expenditures per Building (gallons) per Square Foot (gallons) per...

  19. Energy Information Administration - Commercial Energy Consumption...

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

    3A. Total Fuel Oil Consumption and Expenditures for All Buildings, 2003 All Buildings Using Fuel Oil Fuel Oil Consumption Fuel Oil Expenditures Number of Buildings (thousand)...

  20. Consumption

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

    . 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...

  1. Residential Energy Consumption Survey: Quality Profile

    SciTech Connect (OSTI)

    1996-03-01

    The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

  2. Appliance Energy Consumption in Australia | Open Energy Information

    Open Energy Info (EERE)

    ?viewPublicatio Equivalent URI: cleanenergysolutions.orgcontentappliance-energy-consumption-australi DeploymentPrograms: Industry Codes & Standards Regulations:...

  3. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06

    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.

  4. 1991 Manufacturing Consumption of Energy 1991 Executive Summary

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

    Summary The Manufacturing Consumption of Energy 1991 report presents statistics about the energy consumption of the manufacturing sector, based on the 1991 Manufacturing Energy...

  5. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    1997-12-01

    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.

  6. Surface Energy Balance System (SEBS) Handbook

    SciTech Connect (OSTI)

    Cook, DR

    2011-02-14

    A Surface Energy Balance System (SEBS) has been installed collocated with each deployed ECOR system at the Southern Great Plains (SGP), North Slope of Alaska (NSA), Tropical Western Pacific (TWP), ARM Mobile Facility 1 (AMF1), and ARM Mobile Facility 2 (AMF2). The surface energy balance system consists of upwelling and downwelling solar and infrared radiometers within one net radiometer, a wetness sensor, and soil measurements. The SEBS measurements allow the comparison of ECOR sensible and latent heat fluxes with the energy balance determined from the SEBS and provide information on wetting of the sensors for data quality purposes.

  7. Manufacturing Consumption of Energy 1994

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

    A24. Total Inputs of Energy for Heat, Power, and Electricity Generation by Program Sponsorship, Industry Group, Selected Industries, and Type of Energy- Management Program, 1994:...

  8. Annual Uncosted Balances Reports | Department of Energy

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

    Annual Uncosted Balances Reports Annual Uncosted Balances Reports Section 2307 of the Energy Policy Act of 1992 (42 U.S.C. 13526) requires the Department of Energy (Department or DOE) to submit an annual report to Congress on the state of the Department's uncosted obligations. The section requires the report to identify the uncosted obligations at the end of the previous fiscal year (FY), describe the purpose of those funds, and describe the effect the information had on the annual budget

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

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

    Gas Consumption Natural Gas Expenditures per Building (thousand cubic feet) per Square Foot (cubic feet) Distribution of Building-Level Intensities (cubic feetsquare foot) 25th...

  10. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

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

    Administration (EIA) ‹ Consumption & Efficiency Manufacturing Energy Consumption Survey (MECS) Glossary › FAQS › Overview Data 2010 2006 2002 1998 1994 1991 Archive Analysis & Projections Cost of Natural Gas Used in Manufacturing Sector Has Fallen Graph showing Cost of Natural Gas Used in Manufacturing Sector Has Fallen Source: U.S. Energy Information Administration, Manufacturing Energy Consumption Survey (MECS) 1998-2010, September 6, 2013. New 2010 Manufacturing Energy

  11. Appliance Standby Power and Energy Consumption in South African...

    Open Energy Info (EERE)

    Standby Power and Energy Consumption in South African Households Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Appliance Standby Power and Energy Consumption in South...

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

    Energy Savers [EERE]

    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 ...

  13. 2002 Manufacturing Energy Consumption Survey - User Needs Survey

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

    2002 Manufacturing Energy Consumption Survey: User-Needs Survey View current results. We need your help in designing the next Energy Consumption Survey (MECS) As our valued...

  14. 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...

  15. ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy...

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

    A. Fuel Oil Consumption (Btu) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy Intensity (thousand Btu...

  16. Energy Consumption of Die Casting Operations

    SciTech Connect (OSTI)

    Jerald Brevick; clark Mount-Campbell; Carroll Mobley

    2004-03-15

    Molten metal processing is inherently energy intensive and roughly 25% of the cost of die-cast products can be traced to some form of energy consumption [1]. The obvious major energy requirements are for melting and holding molten alloy in preparation for casting. The proper selection and maintenance of melting and holding equipment are clearly important factors in minimizing energy consumption in die-casting operations [2]. In addition to energy consumption, furnace selection also influences metal loss due to oxidation, metal quality, and maintenance requirements. Other important factors influencing energy consumption in a die-casting facility include geographic location, alloy(s) cast, starting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting machine, related equipment (robots, trim presses), and downstream processing (machining, plating, assembly, etc.). Each of these factors also may influence the casting quality and productivity of a die-casting enterprise. In a die-casting enterprise, decisions regarding these issues are made frequently and are based on a large number of factors. Therefore, it is not surprising that energy consumption can vary significantly from one die-casting enterprise to the next, and within a single enterprise as function of time.

  17. Manufacturing Consumption of Energy 1994

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

    energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. 1 The manufacturing sector is composed of establishments classified...

  18. Household Vehicles Energy Consumption 1991

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

    selected tabulations were produced using two different software programs, Table Producing Language (TPL) and Statistical Analysis System (SAS). Energy Information Administration...

  19. Manufacturing Consumption of Energy 1994

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

    in hydro- power. During that time period, there was an unusual number of hydropower projects up for license renewal by the Federal Energy Regulatory Commission; hydropower...

  20. Microsoft Word - Energy balancing rate settlement signals commitment...

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

    defines charges for balancing services, or generation inputs, that maintain a constant balance of the energy produced and energy consumed. "BPA and the parties involved in this...

  1. Development of Energy Balances for the State of California

    SciTech Connect (OSTI)

    Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

    2005-12-01

    Analysts assessing energy policies and energy modelers forecasting future trends need to have access to reliable and concise energy statistics. Lawrence Berkeley National Laboratory evaluated several sources of California energy data, primarily from the California Energy Commission and the U.S. Energy Information Administration, to develop the California Energy Balance Database (CALEB). This database manages highly disaggregated data on energy supply, transformation, and end-use consumption for each type of energy commodity from 1990 to the most recent year available (generally 2001) in the form of an energy balance, following the methodology used by the International Energy Agency. This report presents the data used for CALEB and provides information on how the various data sources were reconciled. CALEB offers the possibility of displaying all energy flows in numerous ways (e.g.,physical units, Btus, petajoules, different levels of aggregation), facilitating comparisons among the different types of energy commodities and different end-use sectors. In addition to displaying energy data, CALEB can also be used to calculate state-level energy-related carbon dioxide emissions using the methodology of the Intergovernmental Panel on Climate Change.

  2. Energy consumption series: Lighting in commercial buildings

    SciTech Connect (OSTI)

    Not Available

    1992-03-11

    Lighting represents a substantial fraction of commercial electricity consumption. A wide range of initiatives in the Department of Energy`s (DOE) National Energy Strategy have focused on commercial lighting as a potential source of energy conservation. This report provides a statistical profile of commercial lighting, to examine the potential for lighting energy conservation in commercial buildings. The principal conclusion from this analysis is that energy use for lighting could be reduced by as much as a factor of four using currently available technology. The analysis is based primarily on the Energy Information Administration`s (EIA) 1986 Commercial Buildings Energy Consumption Survey (CBECS). The more recent 1989 survey had less detail on lighting, for budget reasons. While changes have occurred in the commercial building stock since 1986, the relationships identified by this analysis are expected to remain generally valid. In addition, the analytic approach developed here can be applied to the data that will be collected in the 1992 CBECS.

  3. Commercial Buildings Energy Consumption Survey - Office Buildings

    Reports and Publications (EIA)

    2010-01-01

    Provides an in-depth look at this building type as reported in the 2003 Commercial Buildings Energy Consumption Survey. Office buildings are the most common type of commercial building and they consumed more than 17% of all energy in the commercial buildings sector in 2003. This special report provides characteristics and energy consumption data by type of office building (e.g. administrative office, government office, medical office) and information on some of the types of equipment found in office buildings: heating and cooling equipment, computers, servers, printers, and photocopiers.

  4. Manufacturing Consumption of Energy 1994

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

    , X Y X X M. Hansen, W. Hurwitz, and W. Madlow, "Sample and Survey Methods and Theory, Volume I" (New York: John Wiley & Sons, Inc., 1953), 49 p. 166. 440 Energy...

  5. Manufacturing Consumption of Energy 1994

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

    A9. Total Inputs of Energy for Heat, Power, and Electricity Generation by Fuel Type, Census Region, and End Use, 1994: Part 1 (Estimates in Btu or Physical Units) See footnotes at...

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

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

    Information Administration (EIA) 1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 1 (Estimates in Btu or Physical Units) XLS Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 2 (Estimates

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

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

    Information Administration (EIA) 4 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1 (Estimates in Btu or Physical Units) XLS Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census Region,

  8. 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.

  9. Visualization of United States Renewable Consumption | Open Energy...

    Open Energy Info (EERE)

    Visualization of United States Renewable Consumption AgencyCompany Organization: Energy Information Administration Sector: Energy Resource Type: Softwaremodeling tools User...

  10. DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption

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

    purchase diaries from a subset of respondents comprising a Household Transportation Panel and is reported separately. * Wood used for heating. Although wood consumption data...

  11. 1999 Commercial Buildings Energy Consumption Survey Detailed Tables

    Gasoline and Diesel Fuel Update (EIA)

    Consumption and Expenditures Tables Table C1. Total Energy Consumption by Major Fuel ............................................... 124 Table C2. Total Energy Expenditures by Major Fuel................................................ 130 Table C3. Consumption for Sum of Major Fuels ...................................................... 135 Table C4. Expenditures for Sum of Major Fuels....................................................... 140 Table C5. Consumption and Gross Energy Intensity by

  12. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

    The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.

  13. Energy balance of ENDF/B-VI

    SciTech Connect (OSTI)

    MacFarlane, R.E.

    1994-06-01

    ENDF/B-VI through Release 2 has been tested for neutron-photon energy balance using the Heater module of the NJOY nuclear data procesing system. The situation is much improved over ENDF/B-V, but there are still a number of maerials that show problems.

  14. Issues in International Energy Consumption Analysis: Canadian Energy Demand

    Reports and Publications (EIA)

    2015-01-01

    The residential sector is one of the main end-use sectors in Canada accounting for 16.7% of total end-use site energy consumption in 2009 (computed from NRCan 2012. pp, 4-5). In this year, the residential sector accounted for 54.5% of buildings total site energy consumption. Between 1990 and 2009, Canadian household energy consumption grew by less than 11%. Nonetheless, households contributed to 14.6% of total energy-related greenhouse gas emissions in Canada in 2009 (computed from NRCan 2012). This is the U.S. Energy Information Administrations second study to help provide a better understanding of the factors impacting residential energy consumption and intensity in North America (mainly the United States and Canada) by using similar methodology for analyses in both countries.

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

    DOE Patents [OSTI]

    Hammerstrom, Donald J.

    2012-09-04

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

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

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) Estimation of Energy End-use Consumption CBECS 2012 - Release date: March 18, 2016 2012 CBECS The energy end-use consumption tables for the 2012 CBECS provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, computing (including servers), office equipment, and other uses. Although details vary by energy source, there are

  17. State Energy Data System 2013 Consumption Technical Notes

    Gasoline and Diesel Fuel Update (EIA)

    Consumption Technical Notes U.S. Energy Information Administration | State Energy Data 2013: Consumption 3 Purpose All of the estimates contained in the state energy consumption data tables are developed using the State Energy Data System (SEDS), which is main- tained and operated by the U.S. Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy production, consumption, prices, and expenditures by state that are defined as

  18. Co2balance | Open Energy Information

    Open Energy Info (EERE)

    balance Jump to: navigation, search Name: Co2balance Place: United Kingdom Sector: Carbon Product: Carbon offset provider based in Somerset, UK. References: Co2balance1 This...

  19. Manufacturing Energy Consumption Survey (MECS) - Residential - U.S. Energy

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

    Information Administration (EIA) Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010 MECS 2006-2010 - Release date: March 28, 2012 Energy consumption in the U.S. manufacturing sector fell from 21,098 trillion Btu (tBtu) in 2006 to 19,062 tBtu in 2010, a decline of almost 10 percent, based on preliminary estimates released from the 2010 Manufacturing Energy Consumption Survey (MECS). This decline continues the

  20. User-needs study for the 1992 Commercial Buildings Energy Consumption Survey. [Energy Consumption Series

    SciTech Connect (OSTI)

    Not Available

    1992-09-01

    The Commercial Buildings Energy Consumption Survey (CBECS) that is conducted by the Energy Information Administration (EIA) is the primary source of energy data for commercial buildings in the United States. The survey began in 1979 and has subsequently been conducted in 1983, 1986, and 1989. The next survey will cover energy consumption during the year 1992. The building characteristic data will be collected between August 1992 and early December 1992. Requests for energy consumption data are mailed to the energy suppliers in January 1993, with data due by March 1993. Before each survey is sent into the field, the data users' needs are thoroughly assessed. The purpose of this report is to document the findings of that user-needs assessment for the 1992 survey.

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

    Gasoline and Diesel Fuel Update (EIA)

    (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu square foot) New England Middle Atlantic East North Central New England Middle Atlantic East North...

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

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

    Using Electricity (million square feet) Electricity Energy Intensity (kWhsquare foot) New England Middle Atlantic East North Central New England Middle Atlantic East North...

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

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feetsquare foot) New England Middle Atlantic East North Central New England Middle Atlantic East North...

  4. Federal Government's Energy Consumption Lowest in Almost 40 Years |

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

    Department of Energy Government's Energy Consumption Lowest in Almost 40 Years Federal Government's Energy Consumption Lowest in Almost 40 Years February 11, 2015 - 3:49am Addthis Energy consumption by the federal government has been steadily declining for nearly four decades. Much of the decline in recent years can be attributed to a decrease in the use of jet fuel at agencies like the Air Force. | Air Force photo Energy consumption by the federal government has been steadily declining for

  5. Towards a Sustainable Energy Balance: Progressive Efficiency and the Return of Energy Conservation

    SciTech Connect (OSTI)

    Diamond, Rick; Harris, Jeff; Diamond, Rick; Iyer, Maithili; Payne, Christopher; Blumstein, Carl; Siderius, Hans-Paul

    2007-08-13

    We argue that a primary focus on energy efficiency may not be sufficient to slow (and ultimately reverse) the growth in total energy consumption and carbon emissions. Instead, policy makers need to return to an earlier emphasis on"conservation," with energy efficiency seen as a means rather than an end in itself. We briefly review the concept of"intensive" versus"extensive" variables (i.e., energy efficiency versus energy consumption), and why attention to both consumption and efficiency is essential for effective policy in a carbon- and oil-constrained world with increasingly brittle energy markets. To start, energy indicators and policy evaluation metrics need to reflect energy consumption as well as efficiency. We introduce the concept of"progressive efficiency," with the expected or required level of efficiency varying as a function of house size, appliance capacity, or more generally, the scale of energy services. We propose introducing progressive efficiency criteria first in consumer information programs (including appliance labeling categories) and then in voluntary rating and recognition programs such as ENERGY STAR. As acceptance grows, the concept could be extended to utility rebates, tax incentives, and ultimately to mandatory codes and standards. For these and other programs, incorporating criteria for consumption as well as efficiency offers a path for energy experts, policy-makers, and the public to begin building consensus on energy policies that recognize the limits of resources and global carrying-capacity. Ultimately, it is both necessary and, we believe, possible to manage energy consumption, not just efficiency in order to achieve a sustainable energy balance. Along the way, we may find it possible to shift expectations away from perpetual growth and toward satisfaction with sufficiency.

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

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

    Q 16.4 19.1 Buildings without Cooling ... Q 8 4 3,308 1,832 1,241 5.7 4.4 2.9 Water-Heating Energy Sources Electricity ... 51 216...

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

    Gasoline and Diesel Fuel Update (EIA)

    Administration U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand

  8. 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions

    Gasoline and Diesel Fuel Update (EIA)

    D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Bottled Gas (LPG or Propane) Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S.

  9. Balance-of-System Equipment Required for Renewable Energy Systems...

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

    Balance-of-System Equipment Required for Renewable Energy Systems Balance-of-System Equipment Required for Renewable Energy Systems July 2, 2012 - 8:21pm Addthis Both...

  10. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

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

    U.S. Energy Information Administration (EIA) Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010 MECS 2010 - Release date: March 19, 2013 Total energy consumption in the manufacturing sector decreased by 17 percent from 2002 to 2010 (Figure 1), according to data from the U.S. Energy Information Administration's (EIA) Manufacturing Energy Consumption Survey (MECS). line chart:air

  11. Commercial Buildings Energy Consumption and Expenditures 1992...

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

    1992 Consumption and Expenditures 1992 Consumption & Expenditures Overview Full Report Tables National estimates of electricity, natural gas, fuel oil, and district heat...

  12. Material Balance Report | Department of Energy

    Office of Environmental Management (EM)

    Material Balance Report Material Balance Report Form supports nuclear material control and accountability. PDF icon Material Balance Report More Documents & Publications DOE/NRC F 742 PHYSICAL INVENTORY LISTING DOE/NRC F 740M

  13. Trends in Commercial Buildings--Energy Sources Consumption Tables

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

    ** estimates adjusted to match the 1995 CBECS definition of target population Energy Information Administration Commercial Buildings Energy Consumption Survey Table 2....

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

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

    Grades: All Topics: Biomass, Wind Energy, Hydropower, Solar, Geothermal Owner: The NEED Project Power to the Plug: An Introduction to Energy, Electricity, Consumption, and...

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

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

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

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

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

    EIA Supply Surveys The primary purpose of the CBECS is to collect accurate statistics of energy consumption by individual buildings. EIA also collects data on total energy supply...

  17. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications (EIA)

    2008-01-01

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

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

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

    with different types of buildings is the clearest way to evaluate commercial sector energy use. The Commercial Buildings Energy Consumption Survey (CBECS) is a national-level...

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

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

    Information Administration (EIA) 8 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Values SIC RSE Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Establishment Counts XLS XLS XLS First Use of Energy for All Purposes (Fuel and Nonfuel), 1998; Level: National

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

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

    Buildings and Major Renovations of Federal Buildings | Department of Energy Buildings Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings Document details Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in a Supplemental Notice of Proposed Rulemaking. File fossilfuel.docx More Documents & Publications Fossil Fuel-Generated Energy Consumption

  1. Impact of Extended Daylight Saving Time on National Energy Consumption,

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

    Report to Congress | Department of Energy Report to Congress Impact of Extended Daylight Saving Time on National Energy Consumption, Report to Congress This report presents the detailed results, data, and analytical methods used in the DOE Report to Congress on the impacts of Extended Daylight Saving Time on the U.S. national energy consumption. PDF icon Report to Congress More Documents & Publications Impact of Extended Daylight Saving Time on National Energy Consumption, Technical

  2. Balance-of-System Equipment Required for Renewable Energy Systems |

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

    Department of Energy Balance-of-System Equipment Required for Renewable Energy Systems Balance-of-System Equipment Required for Renewable Energy Systems Both grid-connected and off-grid home renewable energy systems require additional “balance-of-system” equipment. Both grid-connected and off-grid home renewable energy systems require additional "balance-of-system" equipment. Whether you decide to connect your home renewable energy system to the electric grid or not, you

  3. Commercial Buildings Energy Consumption Survey (CBECS) - How Was Energy

    Gasoline and Diesel Fuel Update (EIA)

    Usage Information Collected in the 2012 CBECS? Energy Usage Information Collected in the 2012 CBECS? CBECS 2012 - Release date: March 18, 2016 The Commercial Buildings Energy Consumption Survey (CBECS) project cycle spans at least four years, beginning with development of the sample frame and survey questionnaire and ending with release of data to the public. This set of three methodology documents provides details about each of the three major stages of the 2012 CBECS survey process. * How

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

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) ‹ Consumption & Efficiency Residential Energy Consumption Survey (RECS) Glossary › FAQS › Overview Data 2009 2005 2001 1997 1993 Previous Analysis & Projections RECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ A Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial,"

  5. Waste-to-Energy Biomass Digester with Decreased Water Consumption...

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

    Biomass and Biofuels Biomass and Biofuels Find More Like This Return to Search Waste-to-Energy Biomass Digester with Decreased Water Consumption Colorado State University Contact...

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

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

    New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability This case study outlines how General Motors (GM) developed a highly efficient ...

  7. Manufacturing-Industrial Energy Consumption Survey(MECS) Historical...

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

    reports, data tables and questionnaires Released: May 2008 The Manufacturing Energy Consumption Survey (MECS) is a periodic national sample survey devoted to measuring...

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

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

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

  9. Impact of Extended Daylight Saving Time on National Energy Consumption...

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

    Technical Documentation Impact of Extended Daylight Saving Time on National Energy Consumption, Technical Documentation This report presents the detailed results, data, and...

  10. Impact of Extended Daylight Saving Time on National Energy Consumption...

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

    Report to Congress Impact of Extended Daylight Saving Time on National Energy Consumption, Report to Congress This report presents the detailed results, data, and analytical...

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

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

    BENEFITS A Motor Challeng NEW WATER BOOSTER PUMP SYSTEM REDUCES ENERGY CONSUMPTION BY 80 ... General Motors (GM) needed to relocate the facility's city water booster pumping system. ...

  12. Natural Gas Consumption and Prices Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas Consumption and Prices Short-Term Energy Outlook June 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Natural Gas Consumption and Prices - Short-Term Energy Outlook Model i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of

  13. Commercial Buildings Energy Consumption and Expenditures 1995...

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

    fuel oil, and district heat consumption and expenditures for commercial buildings by building characteristics. Previous Page Arrow Separater Bar File Last Modified: January 29,...

  14. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

    Gasoline and Diesel Fuel Update (EIA)

    homes plus increased use of electronics, improvements in efficiency for space heating, air conditioning, and major appliances have all led to decreased consumption per household. ...

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

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

    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...

  16. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION Citation Details In-Document Search Title: RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION 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

  17. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate

  18. Energy consumption series: Development of the 1991 Manufacturing Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1992-05-18

    The implementation and results of the proceedings concerning the Energy Information Administration assessment of the Manufacturing Energy Consumption Survey (MECS) are documented in this report. The text and Appendices C, D, and E summarize the background of the MECS data system, the events that led to the MECS redesign, the major issues address during the review process, and the eventual 1991 MECS design that resulted. For many readers, the most useful part of the report may be Appendices A and B, which contain overall summaries of the users' groups and the industrial roundtables. These appendices capture the rationale for additional data needs as provided by the users. Also, they are a rich source of information on how manufacturers deal with energy use day-to-day, how they have addressed the need for energy efficiency improvement in the past, and the opportunities and problems associated with future efforts to improve efficiency. (VC)

  19. Energy consumption series: Development of the 1991 Manufacturing Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1992-05-18

    The implementation and results of the proceedings concerning the Energy Information Administration assessment of the Manufacturing Energy Consumption Survey (MECS) are documented in this report. The text and Appendices C, D, and E summarize the background of the MECS data system, the events that led to the MECS redesign, the major issues address during the review process, and the eventual 1991 MECS design that resulted. For many readers, the most useful part of the report may be Appendices A and B, which contain overall summaries of the users` groups and the industrial roundtables. These appendices capture the rationale for additional data needs as provided by the users. Also, they are a rich source of information on how manufacturers deal with energy use day-to-day, how they have addressed the need for energy efficiency improvement in the past, and the opportunities and problems associated with future efforts to improve efficiency. (VC)

  20. " Column: Energy-Consumption Ratios;"

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

    3 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per

  1. " Column: Energy-Consumption Ratios;"

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

    3 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic

  2. " Column: Energy-Consumption Ratios;"

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

    3 Consumption Ratios of Fuel, 2010;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic

  3. Buildings Energy Data Book: 4.4 Legislation Affecting Energy Consumption of Federal Buildings and Facilities

    Buildings Energy Data Book [EERE]

    1 Energy Policy Act of 2005, Provisions Affecting Energy Consumption in Federal Buildings Source(s): Energy Management Requirements - Amended reduction goals set by the National Energy Conservation Policy Act, and requires increasing percentage reductions in energy consumption through FY 2015, with a final energy consumption reduction goal of 20 percent savings in FY 2015, as compared to the baseline energy consumption of Federal buildings in FY 2003. (These goals were superseded by Section 431

  4. Estimates of U.S. Biomass Energy Consumption 1992

    Reports and Publications (EIA)

    1994-01-01

    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 U.S. economy. It presents estimates of 1991 and 1992 consumption.

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

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

    Information Administration (EIA) 2 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms all tables + EXPAND ALL Consumption of Energy for All Purposes (First Use) Values RSE Table 1.1 By Mfg. Industry & Region (physical units) XLS PDF XLS Table 1.2 By Mfg. Industry & Region (trillion Btu) XLS PDF XLS Table 1.3 By Value of Shipments & Employment Size Category & Region XLS PDF Table 1.4 Number of Establishments Using Energy Consumed

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

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

    Information Administration (EIA) 10 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Table 1.1 By Mfg. Industry & Region (physical units) XLS PDF Table 1.2 By Mfg. Industry & Region (trillion Btu) XLS PDF Table 1.3 By Value of Shipments & Employment Size Category & Region XLS PDF Table 1.4 Number of Establishments Using Energy Consumed for All Purpose XLS PDF Table

  7. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis &

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

    Projections - U.S. Energy Information Administration (EIA) All Reports & Publications Search By: Go Pick a date range: From: To: Go Commercial Buildings Available formats PDF Select Results from the Energy Assessor Experiment in the 2012 Commercial Buildings Energy Consumption Survey Released: December 15, 2015 As part of an effort to make EIA's energy consumption surveys as accurate and efficient as possible, EIA invited the National Research Council (NRC) to review the Commercial

  8. Balance-of-System Equipment Required for Renewable Energy Systems...

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

    Both grid-connected and off-grid home renewable energy systems require additional balance-of-system equipment. Both grid-connected and off-grid home renewable energy...

  9. Balanced Scorecard Program | Department of Energy

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

    Balanced Scorecard Program Balanced Scorecard Program I. Introduction The BSC is a conceptual framework for translating an organization's vision into a set of performance indicators distributed among four perspectives: Financial, Customer, Internal Business Processes, and Learning and Growth. Indicators are maintained to measure an organization's progress toward achieving its vision; other indicators are maintained to measure the long term drivers of success. Through the BSC, an organization

  10. Balance-of-System Equipment Required for Renewable Energy Systems |

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

    Department of Energy Both grid-connected and off-grid home renewable energy systems require additional “balance-of-system” equipment. Both grid-connected and off-grid home renewable energy systems require additional "balance-of-system" equipment. Whether you decide to connect your home renewable energy system to the electric grid or not, you will need to invest in some additional equipment (called "balance-of-system") to condition the electricity, safely

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

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

    Buildings and Major Renovations of Federal Buildings OIRA Comparison Document | Department of Energy Buildings OIRA Comparison Document Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings OIRA Comparison Document Document details the Fossil Fuel-Generated Energy Consumption Reduction for New Federal Buildings and Major Renovations of Federal Buildings in an OIRA Comparison Document. File fossilfuel_compare2014.docx More

  12. New York: Weatherizing Westbeth Reduces Energy Consumption | Department of

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

    Energy Weatherizing Westbeth Reduces Energy Consumption New York: Weatherizing Westbeth Reduces Energy Consumption August 21, 2013 - 12:00am Addthis The New York State Homes and Community Renewal (HCR) initiated a weatherization project on a Westbeth Artists Housing complex-home to almost 400 low- and middle-income artists from a variety of artistic disciplines-in New York City's West Village. The Westbeth complex is on the National Register of Historic Places and was designated a New York

  13. Impact of Extended Daylight Saving Time on National Energy Consumption,

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

    Technical Documentation | Department of Energy Technical Documentation Impact of Extended Daylight Saving Time on National Energy Consumption, Technical Documentation This report presents the detailed results, data, and analytical methods used in the DOE Report to Congress on the impacts of Extended Daylight Saving Time on the national energy consumption in the United States. PDF icon Technical Documentation for Report to Congress More Documents & Publications Impact of Extended Daylight

  14. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

    Gasoline and Diesel Fuel Update (EIA)

    currently in its second phase, the Energy Supplier Survey (ESS). Energy suppliers provide energy usage data for buildings where the building respondent could not provide their own...

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

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

    Canadian Energy Demand Electricity Usage in India's Housing ... Canadian Energy Demand Release date: June 2, 2015 The ... This is the U.S. Energy Information Administration's second ...

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

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

    Information Administration (EIA) CBECS Terminology NOTE: This glossary is specific to the 1999, 2003 and 2012Commercial Buildings Energy Consumption Surveys (CBECS). CBECS glossaries for prior years can be found in the appendices of past CBECS reports. A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are

  17. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    15 Section 7. Total Energy T O T A L E N E R G Y The preceding sections of this documentation describe how the U. S. Energy Information Administration (EIA) arrives at state end-use consumption estimates by individual energy source in the State Energy Data System (SEDS). This section describes how all energy sources are added in Btu to create total energy consumption and end-use consumption estimates. Total Energy Consumption Total energy consumption by state is defined in SEDS as the sum of all

  18. Energy Consumption Series: Assessment of energy use in multibuilding facilities

    SciTech Connect (OSTI)

    Not Available

    1993-08-01

    This study originally had two primary objectives: (1) to improve EIA`s estimates of district heat consumption for commercial buildings in the CBECS sample that lacked individual metering and (2) to provide a basis for estimating primary fuel consumption by central plants serving commercial buildings. These objectives were expanded to include additional questions relating to these central plants. Background information is provided on the CBECS and on district heating and cooling, which is the most important type of energy-related service provided by multibuilding facilities with central physical plants. Chapters 2 and 3 present data results on multibuilding facilities from the 1989 CBECS and the pilot Facility Survey. Chapter 2 presents the characteristics of multibuilding facilities and the individual buildings located on these facilities. Chapter 3 provides estimates of energy inputs and outputs of multibuilding facilities with central physical plants. Chapter 4 assesses the quality of the pilot Facility Survey and includes recommendations for future work in this area. The appendices provide more detailed information on the Facility Survey itself, in particular the limitations on the use of these results. Appendix B, ``Data Quality``, provides detailed information relating to the limitations of the data and the conclusions presented in this report. As a pilot study, the 1989 Facility Survey has some serious flaws and limitations which are recognized in this report.

  19. Impact of Extended Daylight Saving Time on national energy consumption

    SciTech Connect (OSTI)

    Belzer, David B.; Hadley, Stanton W.; Chin, Shih -Miao

    2008-10-01

    This report presents the detailed results, data, and analytical methods used in the DOE Report to Congress on the impacts of Extended Daylight Saving Time on the U.S. national energy consumption.

  20. Commercial Buildings Energy Consumption and Expenditures 1992...

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

    with the national average of 81 thousand Btu per square foot), while buildings using solar energy or passive solar features used the major energy sources more intensively...

  1. Commercial Buildings Energy Consumption and Expenditures 1992

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

    schedules and the number of workers across all shifts as well as the main shift. * Energy Management Characteristics - Energy management questions were expanded to ask whether...

  2. Vehicle Energy Consumption and Performance Analysis | Argonne National

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

    Laboratory Consumption and Performance Analysis Vehicle Energy Consumption and Performance Analysis Argonne researchers have applied their expertise in modeling, simulation and control to develop new control theories and designs for advanced vehicles. Working with government organizations (such as the U.S. Department of Energy and U.S. Department of Transportation) and leading car and truck manufacturers as well as suppliers, the System Modeling and Control group has extensive research

  3. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) What's new in our home energy use? RECS 2009 - Release date: March 28, 2011 First results from EIA's 2009 Residential Energy Consumption Survey (RECS) The 2009 RECS collected home energy characteristics data from over 12,000 U.S. households. This report highlights findings from the survey, with details presented in the Household Energy Characteristics tables. How we use energy in our homes has changed substantially over the past three decades.

  4. Commercial Buildings Energy Consumption and Expenditures 1992

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

    in CBECS. In addition, the same customer may be classified differently by each of its energy suppliers. Activities with Large Amounts of Hot Water: One of the energy-related space...

  5. Commercial Buildings Energy Consumption and Expenditures 1992

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

    at the national level as well as State level in several EIA reports, including State Energy Data Report (SEDR) and the Monthly Energy Review (MER). When comparing the CBECS totals...

  6. Number of Large Energy User Manufacturing Facilities by Sector and State (with Industrial Energy Consumption by State and Manufacturing Energy Consumption by Sector)

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

    Number of Large Energy User Manufacturing Facilities by Sector and State (with Industrial Energy Consumption by State and Manufacturing Energy Consumption by Sector) State Industrial Site Energy Consumption (TBtu) by State in 2010* Estimated Number of Large Energy User Manufacturing Facilities** by Sector (NAICS Code) and by State in 2005 Food Manufacturing & Beverage and Tobacco Product Manufacturing Wood Product Manufacturing & Paper Manufacturing Petroleum and Coal Products

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

    Reports and Publications (EIA)

    2002-01-01

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

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

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

    1982 and 2012 | Department of Energy 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 last 30 years, overall energy consumption has grown by about 22 quadrillion Btu. The share of energy consumption by the transportation sector has seen modest growth in that time - from about 26% to 28% of the energy consumed. The electric utility sector saw the greatest increase

  9. Commercial Buildings Energy Consumption and Expenditures 1992

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

    the sponsor the government, utility or sponsored in-house. Energy Management and Control System Heating or cooling system monitored or controlled by a computerized building...

  10. New York: Weatherizing Westbeth Reduces Energy Consumption |...

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

    ... 517.8 Million in Weatherization Funding and Energy Efficiency Grants for New York One Sky Homes, San Jose, CA, Custom Builder, Grand Award Winner. | California prides itself on ...

  11. Residential Energy Consumption Survey: Housing Characteristics...

    Gasoline and Diesel Fuel Update (EIA)

    either air or liquid as the working fluid. It does not refer :<: passive collection of solar thermal energy. Fuel Oil Paid by Household: The household paid directly to the fuel...

  12. Energy consumption series: Lighting in commercial buildings. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1992-03-11

    Lighting represents a substantial fraction of commercial electricity consumption. A wide range of initiatives in the Department of Energy's (DOE) National Energy Strategy have focused on commercial lighting as a potential source of energy conservation. This report provides a statistical profile of commercial lighting, to examine the potential for lighting energy conservation in commercial buildings. The principal conclusion from this analysis is that energy use for lighting could be reduced by as much as a factor of four using currently available technology. The analysis is based primarily on the Energy Information Administration's (EIA) 1986 Commercial Buildings Energy Consumption Survey (CBECS). The more recent 1989 survey had less detail on lighting, for budget reasons. While changes have occurred in the commercial building stock since 1986, the relationships identified by this analysis are expected to remain generally valid. In addition, the analytic approach developed here can be applied to the data that will be collected in the 1992 CBECS.

  13. "Table A15. Selected Energy Operating Ratios for Total Energy Consumption for"

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

    Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region and Economic" " Characteristics of the Establishment, 1991" ,,,"Consumption","Major" " "," ","Consumption","per Dollar","Byproducts(b)","Fuel Oil(c)"," " " ","Consumption","per Dollar","of Value","as a

  14. "Table A48. Selected Energy Operating Ratios for Total Energy Consumption for"

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

    8. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Census Division, and Economic" " Characteristics of the Establishment, 1994" ,,,"Consumption","Major" " "," ","Consumption","per Dollar","Byproducts(b)","Fuel Oil(c)"," " " ","Consumption","per Dollar","of

  15. "Table A50. Selected Energy Operating Ratios for Total Energy Consumption for"

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

    0. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Economic Characteristics of the" " Establishment, 1991 (Continued)" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent

  16. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four

  17. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) Where does RECS square footage data come from? RECS 2009 - Release date: July 11, 2012 The size of a home is a fixed characteristic strongly associated with the amount of energy consumed within it, particularly for space heating, air conditioning, lighting, and other appliances. As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow

  18. Determinants of measured energy consumption in public housing

    SciTech Connect (OSTI)

    Greely, K.M.; Mills, E.; Goldman, C.A.; Ritschard, R.L. )

    1988-01-01

    In this study, the authors used a two-part methodology to analyze metered energy use patterns in 91 public housing projects. Their goal was to develop a technique that could be used by the U.S. Department of Housing and Urban Development (HUD) and public housing authorities (PHAs) to derive reasonable energy use guidelines for different segments of the public housing stock. In the authors' approach, actual energy use was first normalized to consumption in a year with ''typical'' weather and then used in a multiple regression analysis of different cross-sectional variables. The regression model explained 80% of the variation in energy use, with the type of account and the management practices of PHAs emerging as important explanatory factors. As compared to previous engineering estimates of public housing consumption, the projects in this study used 8% (per square foot) to 16% (per apartment) less fuel and electricity, but consumption was still significantly higher (43%) than that of privately owned multifamily housing. They conclude that this methodology could be used to help HUD and PHAs increase their understanding of energy use patterns and appropriate consumption levels in public housing.

  19. 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.

    1981-08-01

    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)

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

    SciTech Connect (OSTI)

    Marique, Anne-Francoise Reiter, Sigrid

    2012-02-15

    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.

  1. EIA Energy Efficiency-Table 1d. Nonfuel Consumption (Site Energy...

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

    d Page Last Modified: May 2010 Table 1d. Nonfuel Consumption (Site Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and...

  2. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis &

    Gasoline and Diesel Fuel Update (EIA)

    Projections - U.S. Energy Information Administration (EIA) How Were Buildings Selected for the 2012 CBECS? Release Date: July 12, 2012 | Revised Date: June 19, 2014 The Commercial Buildings Energy Consumption Survey (CBECS) project cycle spans at least four years, beginning with development of the sample frame and survey questionnaire and ending with release of data to the public. This set of three methodology documents provides details about each of the three major stages of the 2012 CBECS

  3. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) Manufacturing Energy Consumption Survey (MECS) Glossary › FAQS › Overview Data 2010 2006 2002 1998 1994 1991 Archive Analysis & Projections MECS Industry Analysis Briefs Steel Industry Analysis The steel industry is critical to the U.S. economy. Steel is the material of choice for many elements of construction, transportation, manufacturing, and a variety of consumer products. It is the backbone of bridges, skyscrapers, railroads,

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

    SciTech Connect (OSTI)

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

    1981-10-01

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

  5. Derived annual estimates of manufacturing energy consumption, 1974--1988

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, ``purchased`` energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census`s Annual Survey of Manufactures (ASM) and EIA`s Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as ``offsite-produced fuels.``

  6. Consumption

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

    Using Natural Gas (million square feet)",,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"North- east","Mid- west","South","West","North- east","Mid-...

  7. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"West South Central","Moun- tain","Pacific","West South Central","Moun-...

  8. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"West North Central","South Atlantic","East South Central","West North...

  9. Consumption

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

    (million square feet)",,,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"North- east","Mid- west","South","West","North- east","Mid-...

  10. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"New England","Middle Atlantic","East North Central","New England","Middle...

  11. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"West North Central","South Atlantic","East South Central","West North...

  12. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"West South Central","Moun- tain","Pacific","West South Central","Moun-...

  13. Consumption

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

    (million square feet)",,,,"Energy Intensity for Sum of Major Fuels (thousand Btusquare foot)" ,"North- east","Mid- west","South","West","North- east","Mid-...

  14. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    0 2003 Commercial Primary Energy Consumption Intensities, by Principal Building Type Consumption Percent of Total | Consumption Percent of Total Building Type (thousand Btu/SF) Consumption | Building Type (thousand Btu/SF) Consumption Health Care 345.9 8% | Education 159.0 11% Inpatient 438.8 6% | Service 151.6 4% Outpatient 205.9 2% | Food Service 522.4 6% Food Sales 535.5 5% | Religious Worship 77.0 2% Lodging 193.1 7% | Public Order and Safety 221.1 2% Office 211.7 19% | Warehouse and Storage

  15. FY 2010 Annual Uncosted Balances Report | Department of Energy

    Office of Environmental Management (EM)

    Annual Uncosted Balances Reports FY 2010 Annual Uncosted Balances Report FY 2010 Annual Uncosted Balances Report This report represents an analysis of the Department's uncosted...

  16. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"1959 or Before","1960 to 1989","1990 to 2003","1959 or Before","1960 to...

  17. Consumption

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

    Using Natural Gas (million square feet)",,,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"Zone 1","Zone 2","Zone 3","Zone 4","Zone 5","Zone 1","Zone 2","Zone 3","Zone...

  18. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btusquare foot)" ,"1959 or Before","1960 to 1989","1990 to 2003","1959 or Before","1960 to...

  19. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btusquare foot)" ,"1,001 to 10,000 Square Feet","10,001 to 100,000 Square Feet","Over 100,000...

  20. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"1,001 to 10,000 Square Feet","10,001 to 100,000 Square Feet","Over 100,000...

  1. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"New England","Middle Atlantic","East North Central","New England","Middle...

  2. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"1,001 to 10,000 Square Feet","10,001 to 100,000 Square Feet","Over 100,000...

  3. Consumption

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

    (million square feet)",,,,,"Energy Intensity for Sum of Major Fuels (thousand Btu square foot)" ,"Zone 1","Zone 2","Zone 3","Zone 4","Zone 5","Zone 1","Zone 2","Zone 3","Zone...

  4. Consumption

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

    Using Natural Gas (million square feet)",,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"1959 or Before","1960 to 1989","1990 to 1999","1959 or Before","1960 to...

  5. Consumption

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

    (million square feet)",,,"Energy Intensity for Sum of Major Fuels (thousand Btusquare foot)" ,"1959 or Before","1960 to 1989","1990 to 1999","1959 or Before","1960 to...

  6. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    3 Purpose All of the estimates contained in the state energy consumption data tables are developed using the State Energy Data System (SEDS), which is main- tained and operated by the U.S. Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy production, consumption, prices, and expenditures by state that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide state

  7. Drivers of U.S. Household Energy Consumption, 1980-2009 - Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Drivers of U.S. Household Energy Consumption, 1980-2009 Release date: February 3, 2015 Introduction In 2012, the residential sector accounted for 21% of total primary energy consumption and about 20% of carbon dioxide emissions in the United States (computed from EIA 2013). Because of the impacts of residential sector energy use on the environment and the economy, this study was undertaken to help provide a better understanding of the factors affecting energy

  8. "Table A51. Selected Energy Operating Ratios for Total Energy Consumption for"

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

    1. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region and Economic" " Characteristics of the Establishment, 1991 " ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE"

  9. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    1 2003 Commercial Delivered Energy Consumption Intensities, by Ownership of Unit (1) Ownership Nongovernment Owned 85.1 72% Owner-Occupied 87.3 35% Nonowner-Occupied 88.4 36% Government Owned 105.3 28% 100% Note(s): Source(s): Consumption (thousand Btu/SF) 1) Mall buildings are no longer included in most CBECs tables; therefore, some data is not directly comparable to past CBECs. EIA, 2003 Commercial Buildings Energy Consumption and Expenditures: Consumption and Expenditures Tables, June 2006,

  10. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    8 Commercial Delivered Energy Consumption Intensities, by Vintage Consumption per Year Constructed Square Foot (thousand Btu/SF) Prior to 1960 84.4 23% 1960 to 1969 91.5 12% 1970 to 1979 97.0 18% 1980 to 1989 100.0 19% 1990 to 1999 90.3 19% 2000 to 2003 81.6 8% Average 91.0 Source(s): EIA, 2003 Commercial Buildings Energy Consumption and Expenditures: Consumption and Expenditures Tables, Oct. 2006, Table C1a

  11. PIA - Form EIA-475 A/G Residential Energy Consumption Survey | Department

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

    of Energy Form EIA-475 A/G Residential Energy Consumption Survey PIA - Form EIA-475 A/G Residential Energy Consumption Survey PIA - Form EIA-475 A/G Residential Energy Consumption Survey PDF icon PIA - Form EIA-475 A/G Residential Energy Consumption Survey More Documents & Publications FOIA Responses processed by DOE HQ in 2009 PIA - WEB iPASS System DOE PIA PIA - Security Clearance Work Tracking and Budget

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

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) 3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables Topical Sections Entire Section All Detailed Tables PDF Tables: HC1 Household Characteristics, Million U.S. Households Presents data relating to location, type, ownership, age, size, construction, and householder demographic and income characteristics. PDF Tables: HC2 Space Heating, Million

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

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) 1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables Table Titles (Released: February 2004) Entire Section Percents Tables: HC1 Housing Unit Characteristics, Million U.S. Households PDF PDF NOTE: As of 10/31/01, numbers in the "Housing Units" TABLES section for stub item: "Number of Floors in Apartment Buildings" were

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

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) 2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ALL Tables HC1: Housing Unit Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Owner-Occupied Housing Unit PDF Four Most Populated States PDF Urban/Rural Location PDF Northeast Census Region PDF

  15. Buildings Energy Data Book: 4.1 Federal Buildings Energy Consumption

    Buildings Energy Data Book [EERE]

    1 FY 2007 Federal Primary Energy Consumption (Quadrillion Btu) Buildings and Facilities 0.88 Vehicles/Equipment 0.69 (mostly jet fuel and diesel) Total Federal Government Consumption 1.57 Source(s): DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table A-1, p. 90 for total consumption and Table A-7, p. 95 for vehicle and equipment operations

  16. Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;

    Gasoline and Diesel Fuel Update (EIA)

    Nonswitchable Minimum and Maximum Consumption, 2010; Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential; Unit: Physical Units. Actual Minimum Maximum Energy Sources Consumption Consumption(a) Consumption(b) Total United States Electricity Receipts(c) (million kilowatthour 745,247 727,194 770,790 Natural Gas (billion cubic feet) 5,064 4,331 5,298 Distillate Fuel Oil (thousand barrels) 22 20 82 Residual Fuel Oil (thousand barrels) 13 9 46 Coal (thousand short

  17. " Row: Energy Sources;" " Column: Consumption Potential;"

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

    Nonswitchable Minimum and Maximum Consumption, 2010; " " Level: National and Regional Data;" " Row: Energy Sources;" " Column: Consumption Potential;" " Unit: Physical Units." ,"Actual","Minimum","Maximum" "Energy Sources","Consumption","Consumption(a)","Consumption(b)" ,"Total United States" "Electricity Receipts(c) (million kilowatthours)",745247,727194,770790

  18. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    3 Commercial Delivered and Primary Energy Consumption Intensities, by Year Percent Delivered Energy Consumption Primary Energy Consumption Floorspace Post-2000 Total Consumption per Total Consumption per (million SF) Floorspace (1) (10^15 Btu) SF (thousand Btu/SF) (10^15 Btu) SF (thousand Btu/SF) 1980 50.9 N.A. 5.99 117.7 10.57 207.7 1990 64.3 N.A. 6.74 104.8 13.30 207.0 2000 (2) 68.5 N.A. 8.20 119.7 17.15 250.3 2010 81.1 26% 8.74 107.7 18.22 224.6 2015 84.1 34% 8.88 105.5 18.19 216.2 2020 89.1

  19. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

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

    Administration (EIA) U. S. Census Regions and Divisions: census map About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Manufacturing Energy Sankey Diagrams Manufacturing Energy Flows Tool

  20. Greening the Grid Special Topic: Facilitating the Integration of Renewable Energy through Balancing Cooperation

    SciTech Connect (OSTI)

    Cochran, Jaquelin

    2016-01-01

    The Greening the Grid animation shows facilitating the integration of renewable energy through balancing cooperation step-by-step.

  1. Residential Lighting End-Use Consumption | Department of Energy

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

    Information Resources Publications Market Studies Residential Lighting End-Use Consumption Residential Lighting End-Use Consumption The U.S. DOE Residential Lighting ...

  2. Annual Energy Consumption Analysis Report for Richland Middle School

    SciTech Connect (OSTI)

    Liu, Bing

    2003-12-18

    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.

  3. Sample design for the residential energy consumption survey

    SciTech Connect (OSTI)

    Not Available

    1994-08-01

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

  4. FY 2011 Annual Uncosted Balances Report | Department of Energy

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

    Uncosted Balances Reports » FY 2011 Annual Uncosted Balances Report FY 2011 Annual Uncosted Balances Report This report represents an analysis of the Department's uncosted balances for FY 2011. In FY 2009, the American Recovery and Reinvestment Act of 2009 (Recovery Act) provided the Department an additional $36.7 billion of funding. The FY 2011 uncosted balances associated with Recovery Act funding are separately presented but are not included in the additional analysis of uncosted balances in

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

    SciTech Connect (OSTI)

    Davis, J.; Swenson, A.

    1998-07-01

    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.

  6. Buildings Energy Data Book: 4.4 Legislation Affecting Energy Consumption of Federal Buildings and Facilities

    Buildings Energy Data Book [EERE]

    3 Energy Independence and Security Act of 2007, Provisions Affecting Energy Consumption in Federal Buildings Source(s): Standard Relating to Solar Hot Water - Requires new Federal buildings, or Federal buildings undergoing major renovations, to meet at least 30 percent of hot water demand through the use of solar hot water heaters, if cost-effective. [Section 523] Federally-Procured Appliances with Standby Power - Requires all Federal agencies to procure appliances with standby power consumption

  7. Public Interest Energy Research (PIER) Program. Final Project Report. California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors

    SciTech Connect (OSTI)

    de la Rue du Can, Stephane; Hasanbeigi, Ali; Sathaye, Jayant

    2010-12-01

    This report on the California Energy Balance version 2 (CALEB v2) database documents the latest update and improvements to CALEB version 1 (CALEB v1) and provides a complete picture of how energy is supplied and consumed in the State of California. The CALEB research team at Lawrence Berkeley National Laboratory (LBNL) performed the research and analysis described in this report. CALEB manages highly disaggregated data on energy supply, transformation, and end-use consumption for about 40 different energy commodities, from 1990 to 2008. This report describes in detail California's energy use from supply through end-use consumption as well as the data sources used. The report also analyzes trends in energy demand for the "Manufacturing" and "Building" sectors. Decomposition analysis of energy consumption combined with measures of the activity driving that consumption quantifies the effects of factors that shape energy consumption trends. The study finds that a decrease in energy intensity has had a very significant impact on reducing energy demand over the past 20 years. The largest impact can be observed in the industry sector where energy demand would have had increased by 358 trillion British thermal units (TBtu) if subsectoral energy intensities had remained at 1997 levels. Instead, energy demand actually decreased by 70 TBtu. In the "Building" sector, combined results from the "Service" and "Residential" subsectors suggest that energy demand would have increased by 264 TBtu (121 TBtu in the "Services" sector and 143 TBtu in the "Residential" sector) during the same period, 1997 to 2008. However, energy demand increased at a lesser rate, by only 162 TBtu (92 TBtu in the "Services" sector and 70 TBtu in the "Residential" sector). These energy intensity reductions can be indicative of energyefficiency improvements during the past 10 years. The research presented in this report provides a basis for developing an energy-efficiency performance index to measure progress over time in the State of California.

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

    SciTech Connect (OSTI)

    Patinkin, L.

    1983-12-01

    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.

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

    SciTech Connect (OSTI)

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

    2011-07-01

    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/.

  10. Short-Term Energy Outlook Model Documentation: Motor Gasoline Consumption Model

    Reports and Publications (EIA)

    2011-01-01

    The motor gasoline consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of total U.S. consumption of motor gasolien based on estimates of vehicle miles traveled and average vehicle fuel economy.

  11. FY 2012 Annual Uncosted Balances Report | Department of Energy

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

    Annual Uncosted Balances Reports » FY 2012 Annual Uncosted Balances Report FY 2012 Annual Uncosted Balances Report This report presents the results of the Department's annual analysis of uncosted balances for FY 2012. In FY 2009, the American Recovery and Reinvestment Act of 2009 (Recovery Act) provided the Department an additional $36.7 billion of funding. The FY 2012 uncosted balances associated with Recovery Act funding are separately presented but are not included in the additional analysis

  12. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION

    SciTech Connect (OSTI)

    Bunting, Bruce G

    2012-01-01

    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.

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

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports Has your home been selected for the RECS? State fact sheets Arizona household graph See state fact sheets › graph of U.S. estimated distributed and utility-scale solar capacity and generation, as explained in the article text EIA electricity data now include estimated small-scale solar PV capacity and generation December 2, 2015 U.S. energy-related CO2 emissions up 1% in 2014 as buildings,

  14. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

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

    Administration (EIA) MECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ B Barrel: A volumetric unit of measure equivalent to 42 U.S. gallons. Biomass: Organic nonfossil material of biological origin constituting a renewable energy source. Blast Furnace: A shaft furnace in which solid fuel (coke) is burned with an air blast to smelt ore in a continuous operation. Blast Furnace Gas: The waste combustible gas generated in a blast furnace when iron ore is being reduced with coke

  15. Biodiesel Supply and Consumption in the Short-Term Energy Outlook

    Reports and Publications (EIA)

    2009-01-01

    The historical biodiesel consumption data published in the Energy Information Administration's Monthly Energy Review March 2009 edition were revised to account for imports and exports. Table 10.4 of the Monthly Energy Review was expanded to display biodiesel imports, exports, stocks, stock change, and consumption. Similar revisions were made in the April 2009 edition of the Short-Term Energy Outlook (STEO).

  16. Canada's Fuel Consumption Guide Website | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentcanadas-fuel-consumption-guide-websit Language: English Policies: Regulations Regulations: Fuel Efficiency Standards This website...

  17. Survey Consumption

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

    purchase diaries from a subset of respondents composing a Household Transportation Panel and is reported separately. Residential Energy Consumption Survey: Consumption and...

  18. Table 16. Total Energy Consumption, Projected vs. Actual

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

    Total Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",88.02,89.53,90.72,91.73,92.71,93.61,94.56,95.73,96.69,97.69,98.89,100,100.79,101.7,102.7,103.6,104.3,105.23 "AEO 1995",,89.21,89.98,90.57,91.91,92.98,93.84,94.61,95.3,96.19,97.18,98.38,99.37,100.3,101.2,102.1,102.9,103.88 "AEO

  19. Buildings Energy Data Book: 4.4 Legislation Affecting Energy Consumption of Federal Buildings and Facilities

    Buildings Energy Data Book [EERE]

    2 Executive Order 13423, Provisions Affecting Energy Consumption in Federal Buildings Source(s): -- Requires Federal agencies to improve energy efficiency and reduce greenhouse gas emissions by either 3 percent annual reductions through FY 2015, or by 30 percent by 2015, as compared to FY 2003. -- Requires Federal agencies to obtain at least half of required renewable energy from new renewable sources. Executive Order 13423, Strengthening Federal Environmental, Energy, and Transportation

  20. Comfort, Indoor Air Quality, and Energy Consumption in Low Energy Homes

    SciTech Connect (OSTI)

    Englemann, P.; Roth, K.; Tiefenbeck, V.

    2013-01-01

    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).

  1. End use energy consumption data base: transportation sector

    SciTech Connect (OSTI)

    Hooker, J.N.; Rose, A.B.; Greene, D.L.

    1980-02-01

    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.

  2. An Integrated Geovisual Analytics Framework for Analysis of Energy Consumption Data and Renewable Energy Potentials

    SciTech Connect (OSTI)

    Omitaomu, Olufemi A; Maness, Christopher S; Kramer, Ian S; Kodysh, Jeffrey B; Bhaduri, Budhendra L; Steed, Chad A; Karthik, Rajasekar; Nugent, Philip J; Myers, Aaron T

    2012-01-01

    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.

  3. Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;

    Gasoline and Diesel Fuel Update (EIA)

    Table 10.1 Nonswitchable Minimum and Maximum Consumption, 2006; Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential; Unit: Physical Units. Actual Minimum Maximum Energy Sources Consumption Consumption(a) Consumption(b) Total United States Electricity Receipts(c) (million kilowatthour 854,102 826,077 889,281 Natural Gas (billion cubic feet) 5,357 4,442 5,649 Distillate Fuel Oil (thousand barrels) 22,139 19,251 101,340 Residual Fuel Oil (thousand barrels) 39,925

  4. DOE/EIA-0272/S The National Interim Energy Consumption Survey...

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

    Exploring the Variability in Energy Consumption, (DOEEIA-0272). A discussion on the theory behind the particular form of the models chosen and the choice of the independent...

  5. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    3 Section 3. Natural Gas Physical units Eight natural gas data series are used to derive the natural gas consump- tion estimates in the State Energy Data System (SEDS). Several of these data series are deliveries of natural gas to the end user by state and are used as consumption because actual consumption data at these levels are not available. The sources for the natural gas data are the Natural Gas Annual and Electric Power Annual published by the U.S. Energy Information Administration (EIA)

  6. U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    3 Section 3. Natural Gas Physical units Eight natural gas data series are used to derive the natural gas consump- tion estimates in the State Energy Data System (SEDS). Several of these data series are deliveries of natural gas to the end user by state and are used as consumption because actual consumption data at these levels are not available. The sources for the natural gas data are the Natural Gas Annual and Electric Power Annual published by the U.S. Energy Information Administration (EIA)

  7. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    4 Ownership (1) Owned 54.9 104.5 40.3 78% Rented 77.4 71.7 28.4 22% Public Housing 75.7 62.7 28.7 2% Not Public Housing 77.7 73.0 28.4 19% 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished

  8. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    9 This section describes the data identification codes in the State Energy Data System (SEDS). The following six sections, one for each energy source and total energy, provide: descriptions of all the data series that are entered into SEDS; the formulas applied in SEDS for creating additional data series; and notes on special circumstances for any series. Appendix A is an alphabetical listing of the variable names and formulas used in consumption estimation; Appendix B lists the conversion

  9. Relationship Between Wind Generation and Balancing Energy Market Prices in ERCOT: 2007-2009

    SciTech Connect (OSTI)

    Nicholson, E.; Rogers, J.; Porter, K.

    2010-11-01

    This paper attempts to measure the average marginal effects of wind generation on the balancing-energy market price in ERCOT with the help of econometric analysis.

  10. Table 16. Total Energy Consumption, Projected vs. Actual Projected

    Gasoline and Diesel Fuel Update (EIA)

    Total Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 88.0 89.5 90.7 91.7 92.7 93.6 94.6 95.7 96.7 97.7 98.9 100.0 100.8 101.7 102.7 103.6 104.3 105.2 AEO 1995 89.2 90.0 90.6 91.9 93.0 93.8 94.6 95.3 96.2 97.2 98.4 99.4 100.3 101.2 102.1 102.9 103.9 AEO 1996 90.6 91.3 92.5 93.5 94.3 95.1 95.9 96.9 98.0 99.2 100.4 101.4 102.1 103.1 103.8 104.7 105.5 106.5 107.2

  11. Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual

    Gasoline and Diesel Fuel Update (EIA)

    Total Delivered Residential Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 10.3 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.5 10.5 10.5 10.5 10.5 10.6 10.6 AEO 1995 11.0 10.8 10.8 10.8 10.8 10.8 10.8 10.7 10.7 10.7 10.7 10.7 10.7 10.7 10.8 10.8 10.9 AEO 1996 10.4 10.7 10.7 10.7 10.8 10.8 10.9 10.9 11.0 11.2 11.2 11.3 11.4 11.5 11.6 11.7 11.8 12.0 12.1

  12. Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual

    Gasoline and Diesel Fuel Update (EIA)

    Total Delivered Commercial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 7.6 AEO 1995 6.9 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0 8.0 8.1 8.2 8.2 AEO 1997 7.4 7.4 7.4 7.5 7.5 7.6 7.7 7.7 7.8 7.8 7.9 7.9

  13. Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual

    Gasoline and Diesel Fuel Update (EIA)

    Total Delivered Industrial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 25.4 25.9 26.3 26.7 27.0 27.1 26.8 26.6 26.9 27.2 27.7 28.1 28.3 28.7 29.1 29.4 29.7 30.0 AEO 1995 26.2 26.3 26.5 27.0 27.3 26.9 26.6 26.8 27.1 27.5 27.9 28.2 28.4 28.7 29.0 29.3 29.6 AEO 1996 26.5 26.6 27.3 27.5 26.9 26.5 26.7 26.9 27.2 27.6 27.9 28.2 28.3 28.5 28.7 28.9 29.2 29.4 29.6

  14. Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual

    Gasoline and Diesel Fuel Update (EIA)

    Total Delivered Transportation Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 23.6 24.1 24.5 24.7 25.1 25.4 25.7 26.2 26.5 26.9 27.2 27.6 27.9 28.3 28.6 28.9 29.2 29.5 AEO 1995 23.3 24.0 24.2 24.7 25.1 25.5 25.9 26.2 26.5 26.9 27.3 27.7 28.0 28.3 28.5 28.7 28.9 AEO 1996 23.9 24.1 24.5 24.8 25.3 25.7 26.0 26.4 26.7 27.1 27.5 27.8 28.1 28.4 28.6 28.9 29.1 29.3

  15. Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer | Department of

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

    Energy Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Watch the ultrasonic technology dry a piece of fabric in 14 seconds. Oak Ridge National Lab's Ayyoub Momen demonstrates ultrasonic clothes dryer technology for David Danielson, Assistant Secretary for Energy Efficiency and Renewable Energy (EERE) Oak Ridge National Lab's Ayyoub Momen demonstrates ultrasonic clothes dryer technology for David Danielson, Assistant Secretary

  16. Issues in International Energy Consumption Analysis: Electricity Usage in Indias Housing Sector

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

    Issues in International Energy Consumption Analysis: Electricity Usage in India's Housing Sector November 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Issues in International Energy Consumption Analysis: Electricity Usage in India's Housing Sector i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of

  17. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 6.1 Consumption Ratios of Fuel, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 879.8 5.0 2.2 3112 Grain and Oilseed Milling 6,416.6 17.5 5.7 311221 Wet Corn Milling 21,552.1 43.6

  18. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be fielded in 2015 Table 6.1 Consumption Ratios of Fuel, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 871.7 4.3 1.8 3112 Grain and Oilseed Milling 6,239.5 10.5 3.6 311221 Wet Corn Milling 28,965.0 27.1

  19. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

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

    N7.1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per

  20. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

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

    1 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per

  1. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

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

    1 Consumption Ratios of Fuel, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Subsector and Industry","(million

  2. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

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

    " "Next MECS will be fielded in 2015" "Table 6.1 Consumption Ratios of Fuel, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments"

  3. R A N K I N G S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    7 Table C12. Total Energy Consumption Estimates, Real Gross Domestic Product (GDP), Energy Consumption Estimates per Real Dollar of GDP, Ranked by State, 2013 Rank Total Energy Consumption Real Gross Domestic Product (GDP) Energy Consumption per Real Dollar of GDP State Trillion Btu State Billion Chained (2009) Dollars State Thousand Btu per Chained (2009) Dollar 1 Texas 12,944.1 California 2,055.2 Louisiana 18.1 2 California 7,684.1 Texas 1,395.4 Wyoming 15.0 3 Florida 4,077.9 New York 1,248.4

  4. EIA Energy Efficiency-Table 1a. Table 1a. Consumption of Site...

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

    a Page Last Modified: May 2010 Table 1a. Consumption of Energy (Site Energy) for All Purposes (First Use) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey...

  5. ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy...

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

    in this table do not include enclosed malls and strip malls. In the 1999 CBECS, total fuel oil consumption in malls was not statistically significant. (*)Value rounds to zero...

  6. ENERGY USE AND DOMESTIC HOT WATER CONSUMPTION Final Report

    Office of Scientific and Technical Information (OSTI)

    ... Weekdays have a minimal overnight usage, then a s-2 morning peak, followed by lower ... The existence of, in some cases, more than zero to minimal consumption in the overnight ...

  7. Buildings Energy Data Book: 4.1 Federal Buildings Energy Consumption

    Buildings Energy Data Book [EERE]

    3 Federal Building Delivered Energy Consumption Intensities, by Year (1) Year Year FY 1985 123.0 FY 1997 111.9 FY 1986 131.3 FY 1998 107.7 FY 1987 136.9 FY 1999 106.7 FY 1988 136.3 FY 2000 104.8 FY 1989 132.6 FY 2001 105.9 FY 1990 128.6 FY 2002 104.6 FY 1991 122.9 FY 2003 105.2 FY 1992 125.5 FY 2004 104.9 FY 1993 122.3 FY 2005 98.2 FY 1994 120.2 FY 2006 (2) 113.9 FY 1995 117.3 FY 2007 (3) 112.9 FY 1996 115.0 FY 2015 (4) 89.5 Note(s): Source(s): Consumption per Gross Consumption per Gross Square

  8. Hydraulic HEV Fuel Consumption Potential | Department of Energy

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

    Hydraulic HEV Fuel Consumption Potential Hydraulic HEV Fuel Consumption Potential 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon vss071_rousseau_2012_o.pdf More Documents & Publications Evaluation of Powertrain Options and Component Sizing for MD and HD Applications on Real World Drive Cycles Roadmap and Technical White Papers for 21st Century Truck Partnership Fuel Displacement & Cost Potential of CNG,

  9. Short-Term Energy Outlook Model Documentation: Electricity Generation and Fuel Consumption Models

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

    Model Documentation: Electricity Generation and Fuel Consumption Models January 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | STEO Model Documentation: Electricity Generation and Fuel Consumption Models i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts

  10. Table 2.10 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979-2003

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

    0 Commercial Buildings Energy Consumption and Expenditure Indicators, Selected Years, 1979-2003 Energy Source and Year Building Characteristics Energy Consumption Energy Expenditures Number of Buildings Total Square Feet Square Feet per Building Total Per Building Per Square Foot Per Employee Total Per Building Per Square Foot Per Million Btu Thousands Millions Thousands Trillion Btu Million Btu Thousand Btu Million Btu Million Dollars 1 Thousand Dollars 1 Dollars 1 Dollars 1 Major Sources 2

  11. Buildings Energy Data Book: 4.1 Federal Buildings Energy Consumption

    Buildings Energy Data Book [EERE]

    2 FY 2007 Federal Building Energy Use Shares, by Fuel Type and Agency Site Primary | Primary | FY 2007 Fuel Type Percent Percent | Agency Percent | (10^15 Btu) Electricity 49.4% 77.3% | DOD 53.8% | Total Delivered Natural Gas 33.5% 14.9% | USPS 9.8% | Energy Consumption = 0.39 Fuel Oil 7.3% 3.3% | DOE 8.2% | Total Primary Coal 5.2% 2.3% | VA 6.4% | Energy Consumption = 0.88 Other 4.9% 2.2% | GSA 5.1% | Total 100% 100% | Other 16.8% | Total 100% Note(s): Source(s): See Table 2.3.1 for floorspace.

  12. How can we compare or add up our energy consumption?

    Reports and Publications (EIA)

    2012-01-01

    Energy in Brief article on the use of energy conversion factors to compare energy usage from different fuels.

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

    SciTech Connect (OSTI)

    Zhou, Nan; Lin, Jiang

    2007-08-01

    While China's 11th Five Year Plan called for a reduction of energy intensity by 2010, whether and how the energy consumption trend can be changed in a short time has been hotly debated. This research intends to evaluate the impact of a variety of scenarios of GDP growth, energy elasticity and energy efficiency improvement on energy consumption in commercial buildings in China using a detailed China End-use Energy Model. China's official energy statistics have limited information on energy demand by end use. This is a particularly pertinent issue for building energy consumption. The authors have applied reasoned judgments, based on experience of working on Chinese efficiency standards and energy related programs, to present a realistic interpretation of the current energy data. The bottom-up approach allows detailed consideration of end use intensity, equipment efficiency, etc., thus facilitating assessment of potential impacts of specific policy and technology changes on building energy use. The results suggest that: (1) commercial energy consumption in China's current statistics is underestimated by about 44%, and the fuel mix is misleading; (2) energy efficiency improvements will not be sufficient to offset the strong increase in end-use penetration and intensity in commercial buildings; (3) energy intensity (particularly electricity) in commercial buildings will increase; (4) different GDP growth and elasticity scenarios could lead to a wide range of floor area growth trajectories , and therefore, significantly impact energy consumption in commercial buildings.

  14. Upgrades to SNL-EFDC: A Tool to Balance Marine Hydrokinetic Energy

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

    Generation Efficiency with Environmental Response Upgrades to SNL-EFDC: A Tool to Balance Marine Hydrokinetic Energy Generation Efficiency with Environmental Response - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy

  15. Comparison of Real World Energy Consumption to Models and Department of Energy Test Procedures

    SciTech Connect (OSTI)

    Goetzler, William; Sutherland, Timothy; Kar, Rahul; Foley, Kevin

    2011-09-01

    This study investigated the real-world energy performance of appliances and equipment as it compared with models and test procedures. The study looked to determine whether the U.S. Department of Energy and industry test procedures actually replicate real world conditions, whether performance degrades over time, and whether installation patterns and procedures differ from the ideal procedures. The study first identified and prioritized appliances to be evaluated. Then, the study determined whether real world energy consumption differed substantially from predictions and also assessed whether performance degrades over time. Finally, the study recommended test procedure modifications and areas for future research.

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

    SciTech Connect (OSTI)

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

    2009-06-01

    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.

  17. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    1 Type (1) Single-Family: 55.4 106.6 39.4 80.5% Detached 55.0 108.4 39.8 73.9% Attached 60.5 89.3 36.1 6.6% Multi-Family: 78.3 64.1 29.7 14.9% 2 to 4 units 94.3 85.0 35.2 6.3% 5 or more units 69.8 54.4 26.7 8.6% Mobile Homes 74.6 70.4 28.5 4.6% All Housing Types 58.7 95.0 37.0 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average

  18. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    2 Year Built (1) Prior to 1950 74.5 114.9 46.8 24% 1950 to 1969 66.0 96.6 38.1 23% 1970 to 1979 59.4 83.4 33.5 15% 1980 to 1989 51.9 81.4 32.3 14% 1990 to 1999 48.2 94.4 33.7 16% 2000 to 2005 44.7 94.7 34.3 8% Average 58.7 95.0 40.0 Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was

  19. Reduction in Energy Consumption & Variability in Steel Foundry Operations

    SciTech Connect (OSTI)

    Frank Peters

    2005-05-04

    This project worked to improve the efficiency of the steel casting industry by reducing the variability that occurs because of process and product variation. The project focused on the post shakeout operations since roughly half of the production costs are in this area. These improvements will reduce the amount of variability, making it easier to manage the operation and improve the competitiveness. The reduction in variability will also reduce the need for many rework operations, which will result in a direct reduction of energy usage, particularly by the reduction of repeated heat treatment operations. Further energy savings will be realized from the reduction of scrap and reduced handling. Field studies were conducted at ten steel foundries that represented the U.S. steel casting industry, for a total of over 100 weeks of production observation. These studies quantified the amount of variability, and looked toward determining the source. A focus of the data collected was the grinding operations since this is a major effort in the cleaning room, and it represents the overall casting quality. The grinding was divided into two categories, expected and unexpected. Expected grinding is that in which the location of the effort is known prior to making the casting, such as smoothing parting lines, gates, and riser contacts. Unexpected grinding, which was approximately 80% of the effort, was done to improve the surfaces at weld repair locations, to rectify burnt on sand, and other surface anomalies at random locations. Unexpected grinding represents about 80% of the grinding effort. By quantifying this effort, the project raised awareness within the industry and the industry is continuing to make improvements. The field studies showed that the amount of variation of grinding operations (normalized because of the diverse set of parts studied) was very consistent across the industry. The field studies identified several specific sources that individually contributed to large process variation. This indicates the need for ongoing monitoring of the process and system to quantify the effort being expended. A system to measure the grinding effort was investigated but did not prove to be successful. A weld wire counting system was shown to be very successful in tracking casting quality by monitoring the quantity of weld wire being expended on a per casting basis. Further use of such systems is highly recommended. The field studies showed that the visual inspection process for the casting surface was a potentially large source of process variation. Measurement system analysis studies were conducted at three steel casting producers. The tests measured the consistency of the inspectors in identifying the same surface anomalies. The repeatability (variation of the same operator inspecting the same casting) was found to be relatively consistent across the companies at about 60-70%. However, this is still are very large amount of variation. Reproducibility (variation of different operators inspecting the same casting) was worse, ranging between 20 to 80% at the three locations. This large amount of variation shows that there is a great opportunity for improvement. Falsely identifying anomalies for reworking will cause increased expense and energy consumption. This is particularly true if a weld repair and repeated heat treatment is required. However, not identifying an anomaly could also result in future rework processing, a customer return, or scrap. To help alleviate this problem, casting surface comparator plates were developed and distributed to the industry. These plates are very inexpensive which enables them to be provided to all those involved with casting surface quality, such as operators, inspectors, sales, and management.

  20. DOE/EIA-0318/1 Nonresidential Buildings Energy Consumption Survey:

    Gasoline and Diesel Fuel Update (EIA)

    18/1 Nonresidential Buildings Energy Consumption Survey: 1979 Consumption and Expenditures D! Part I: Natural Gas and Electricity March 1983 Energy Information Administration Washington, D.C. 1111? This publication is available from the Superintendent of Documents, U.S. Government Printing Office |GPO). Make check or money order payable to the Superintendent of Documents. You may send your order to the U.S. Government Printing Office or the National Energy Information Center. GPO prices are

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

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

    Increases Reliability | Department of Energy New 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 Reliability This case study outlines how General Motors (GM) developed a highly efficient pumping system for their Pontiac Operations Complex in Pontiac, Michigan. In short, GM was able to replace five original 60- to 100-hp pumps with three 15-hp pumps whose speed

  2. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    9 Petroleum Overview The 25 petroleum products included in the State Energy Data System (SEDS) are explained in this section. For 10 of these products, the means of estimating their consumption by state is described in individual sections. The 10 petroleum products are: * asphalt and road oil (AR) * aviation gasoline (AV) * distillate fuel oil (DF) * jet fuel (JF) * kerosene (KS) * liquefied petroleum gases (LG) * lubricants (LU) * motor gasoline (MG) * petroleum coke (PC) * residual fuel oil

  3. U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    9 Petroleum Overview The 25 petroleum products included in the State Energy Data System (SEDS) are explained in this section. For 10 of these products, the means of estimating their consumption by state is described in individual sections. The 10 petroleum products are: * asphalt and road oil (AR) * aviation gasoline (AV) * distillate fuel oil (DF) * jet fuel (JF) * kerosene (KS) * liquefied petroleum gases (LG) * lubricants (LU) * motor gasoline (MG) * petroleum coke (PC) * residual fuel oil

  4. Short-Term Energy Outlook Model Documentation: Other Petroleum Products Consumption Model

    Reports and Publications (EIA)

    2011-01-01

    The other petroleum product consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. consumption forecasts for 6 petroleum product categories: asphalt and road oil, petrochemical feedstocks, petroleum coke, refinery still gas, unfinished oils, and other miscvellaneous products

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

    SciTech Connect (OSTI)

    DOE / EERE / NEED Project

    2011-06-07

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

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

    K-12 Energy Lesson Plans and Activities Web site (EERE)

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

  7. Transportation Energy Futures: Combining Strategies for Deep Reductions in Energy Consumption and GHG Emissions (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2013-03-01

    This fact sheet summarizes actions in the areas of light-duty vehicle, non-light-duty vehicle, fuel, and transportation demand that show promise for deep reductions in energy use. Energy efficient transportation strategies have the potential to simultaneously reduce oil consumption and greenhouse gas (GHG) emissions. The Transportation Energy Futures (TEF) project examined how the combination of multiple strategies could achieve deep reductions in GHG emissions and petroleum use on the order of 80%. Led by NREL, in collaboration with Argonne National Laboratory, the project's primary goal was to help inform domestic decisions about transportation energy strategies, priorities, and investments, with an emphasis on underexplored opportunities. TEF findings reveal three strategies with the potential to displace most transportation-related petroleum use and GHG emissions: 1) Stabilizing energy use in the transportation sector through efficiency and demand-side approaches. 2) Using additional advanced biofuels. 3) Expanding electric drivetrain technologies.

  8. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    1 Appendix C. Resident Population A P P E N D I X C The population data used in the U.S. Energy Information Administration State Energy Data System (SEDS) to calculate per capita consumption are shown in Tables C1 through C5. The data are the U.S. Department of Commerce, Bureau of the Census, resident population estimates by state. The reference date for the estimates is July 1 of each year. The sum of the state estimates may not match the U.S. estimates. More recent revisions to the U.S.

  9. EIA Energy Efficiency-Table 1b. Fuel Consumption for Selected...

    Gasoline and Diesel Fuel Update (EIA)

    b Page Last Modified: May 2010 Table 1b. End Uses of Fuel Consumption (Site Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector...

  10. EIA Energy Efficiency-Table 2b. Primary Fuel Consumption for...

    Gasoline and Diesel Fuel Update (EIA)

    b Page Last Modified: May 2010 Table 2b. End Uses of Fuel Consumption (Primary 1 Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS...

  11. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION...

    Office of Scientific and Technical Information (OSTI)

    In growing economies, energy use and economic growth are strongly linked, but energy ... of local resources, world trade, and governmental, environmental, and economic policies. ...

  12. Manufacturing Consumption of Energy 1994 - Derived measures of...

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

    eialogo Calculation of MECS Energy Measures Reported energy values were used to construct several derived values, which, in turn, were used to prepare the estimates appearing in...

  13. "PART 1: ENERGY/WATER CONSUMPTION AND COST DATA"

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

    Adjustment Data Report for Fiscal Years Prior to 2008" ,,,"FY","20XX" "Agency:","Department of X",,,"Prepared by:" "Date:",,,,"Phone:" "PART 1: ENERGY/WATER CONSUMPTION AND COST DATA" "1-1. NECPA/E.O. 13423 Goal Subject Buildings" "Energy Type","Consumption Units","Annual Consumption","Annual Cost (Thou. $)","Unit Cost ($)",,"Site-Delivered Btu

  14. A look at commercial buildings in 1995: Characteristics, energy consumption, and energy expenditures

    SciTech Connect (OSTI)

    1998-10-01

    The commercial sector consists of business establishments and other organizations that provide services. The sector includes service businesses, such as retail and wholesale stores, hotels and motels, restaurants, and hospitals, as well as a wide range of facilities that would not be considered commercial in a traditional economic sense, such as public schools, correctional institutions, and religious and fraternal organizations. Nearly all energy use in the commercial sector takes place in, or is associated with, the buildings that house these commercial activities. Analysis of the structures, activities, and equipment associated with different types of buildings is the clearest way to evaluate commercial sector energy use. The Commercial Buildings Energy Consumption Survey (CBECS) is a national-level sample survey of commercial buildings and their energy suppliers conducted quadrennially (previously triennially) by the Energy Information Administration (EIA). The target population for the 1995 CBECS consisted of all commercial buildings in the US with more than 1,000 square feet of floorspace. Decision makers, businesses, and other organizations that are concerned with the use of energy--building owners and managers, regulators, legislative bodies and executive agencies at all levels of government, utilities and other energy suppliers--are confronted with a buildings sector that is complex. Data on major characteristics (e.g., type of building, size, year constructed, location) collected from the buildings, along with the amount and types of energy the buildings consume, help answer fundamental questions about the use of energy in commercial buildings.

  15. User-needs study for the 1992 Commercial Buildings Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1992-09-01

    The Commercial Buildings Energy Consumption Survey (CBECS) that is conducted by the Energy Information Administration (EIA) is the primary source of energy data for commercial buildings in the United States. The survey began in 1979 and has subsequently been conducted in 1983, 1986, and 1989. The next survey will cover energy consumption during the year 1992. The building characteristic data will be collected between August 1992 and early December 1992. Requests for energy consumption data are mailed to the energy suppliers in January 1993, with data due by March 1993. Before each survey is sent into the field, the data users` needs are thoroughly assessed. The purpose of this report is to document the findings of that user-needs assessment for the 1992 survey.

  16. U.S. Lighting Market Characterization Volume I: National Lighting Inventory and Energy Consumption Estimate Final Report

    SciTech Connect (OSTI)

    None, None

    2002-09-01

    Multiyear study to evaluate light sources and identify opportunities for saving energy. This report estimates energy consumption for residential, commercial, industrial, and outdoor stationary.

  17. Trends in Commercial Buildings--Trends in Energy Consumption...

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

    the use of the four major sources and other energy sources (e.g., district chilled water, solar, wood). Energy consumed in commercial buildings is a significant fraction of that...

  18. AEO2011: Energy Consumption by Sector and Source - Mountain ...

    Open Energy Info (EERE)

    comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 8, and contains only the reference...

  19. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) State fact sheets on household energy use RECS 2009 - Release date: August 13, 2013 (Correction) The RECS gathers information through personal interviews with a nationwide sample of homes and energy suppliers. The 2009 survey was the largest RECS to date and the larger sample size allowed for the release of data for 16 individual states, in addition to national, regional, and division-level estimates. See a closer look at residential energy

  20. Energy Consumption: Costs and the Annual Efficiency Index

    SciTech Connect (OSTI)

    2004-01-01

    This document explains to municipal workers how they can measure and reduce the energy usage of their buildings.

  1. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    3 Coal Consumption Physical units Coal in the United States is mostly consumed by the electric power sector. Data are collected by the U.S. Energy Information Administration (EIA) on Form EIA-923, "Power Plant Operations Report," and predecessor forms. "ZZ" in the variable name is used to represent the two-letter state code: CLEIPZZ = coal consumed by the electric power sector in each state, in thousand short tons. CLEIPUS = ΣCLEIPZZ Seven data series are used to estimate

  2. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    5 Appendix F. Data and Methodology Changes A P P E N D I X F Tables and data files in the State Energy Data System (SEDS) supply a new year of data each production cycle. The latest data may be preliminary and, therefore, revised the following cycle. Changes made to consumption and price source data for historical years are also regularly incorporated into SEDS. Listed below are changes in SEDS contents beyond the standard updates. Petroleum Heat content for distillate fuel oil, motor gasoline,

  3. U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    25 Appendix A. Mnemonic Series Names (MSN) A P P E N D I X A This appendix contains an alphabetical listing of the variable used in the consumption module of the State Energy Data System (SEDS). Provided for each variable are: a brief description; unit of measure; and the formulas used to create the variable. If a variable is not one calculated in SEDS but is entered into the system, it is described as an independent variable. Formulas for the state calculations have "ZZ" following the

  4. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    1 Delivered Energy Consumption Intensities of Public Multi-Family Buildings, by Fuel and Region (Thousand Btu/SF) Region Electricity Natural Gas Fuel Oil Total Northeast 27.7 45.9 39.9 71.5 Midwest 22.5 49.9 N.A. 70.3 South 53.5 27.9 N.A. 65.9 West 22.0 25.3 N.A. 46.2 National Average 33.0 43.4 68.3

  5. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    2 Delivered Energy Consumption Intensities of Public Multi-Family Buildings, by Fuel and Region (Million Btu/Household) Region Electricity Natural Gas Fuel Oil Total Northeast 21.2 34.9 36.2 54.7 Midwest 16.6 36.6 N.A. 51.8 South 39.4 20.0 N.A. 48.5 West 16.6 19.3 N.A. 34.8 National Average 24.6 32.2 51.0

  6. Numerical prediction of energy consumption in buildings with controlled interior temperature

    SciTech Connect (OSTI)

    Jarošová, P.; Št’astník, S.

    2015-03-10

    New European directives bring strong requirement to the energy consumption of building objects, supporting the renewable energy sources. Whereas in the case of family and similar houses this can lead up to absurd consequences, for building objects with controlled interior temperature the optimization of energy demand is really needed. The paper demonstrates the system approach to the modelling of thermal insulation and accumulation abilities of such objetcs, incorporating the significant influence of additional physical processes, as surface heat radiation and moisture-driven deterioration of insulation layers. An illustrative example shows the numerical prediction of energy consumption of a freezing plant in one Central European climatic year.

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

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

    Archive MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Special Reports (click on table headings to sort) Title Release Year Cycle Year Format Energy-Related...

  8. Impact of Extended Daylight Saving Time on National Energy Consumption...

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

    ... Potential non-energy impacts include children traveling to school during darkness, traffic accident rates, crime rates, electronics changeover to new EDST dates, airline schedule ...

  9. Consumption & Efficiency - U.S. Energy Information Administration...

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

    larger shares of electricity generation oil... Btu January to November 2015 2014 2013 2012 End-Use ... Source: U.S. Energy Information Administration, Monthly ...

  10. Energy consumption and expenditure projections by population group on the basis of the annual energy outlook 1999 forecast

    SciTech Connect (OSTI)

    Poyer, D.A.; Balsley, J.H.

    2000-01-07

    This report presents an analysis of the relative impact of the base-case scenario used in Annual Energy Outlook 1999 on different population groups. Projections of energy consumption and expenditures, as well as energy expenditure as a share of income, from 1996 to 2020 are given. The projected consumption of electricty, natural gas, distillate fuel, and liquefied petroleum gas during this period is also reported for each population group. In addition, this report compares the findings of the Annual Energy Outlook 1999 report with the 1998 report. Changes in certain indicators and information affect energy use forecasts, and these effects are analyzed and discussed.

  11. Buildings Energy Data Book: 1.2 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    Residential Sector Energy Consumption March 2012 1.2.9 Implicit Price Deflators (2005 = 1.00) Year Year Year 1980 0.48 1990 0.72 2000 0.89 1981 0.52 1991 0.75 2001 0.91 1982 0.55 1992 0.77 2002 0.92 1983 0.58 1993 0.78 2003 0.94 1984 0.60 1994 0.80 2004 0.97 1985 0.62 1995 0.82 2005 1.00 1986 0.63 1996 0.83 2006 1.03 1987 0.65 1997 0.85 2007 1.06 1988 0.67 1998 0.86 2008 1.09 1989 0.70 1999 0.87 2009 1.10 2010 1.11 Source(s): EIA, Annual Energy Review 2010, August 2011, Appendix D, p. 353.

  12. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    9 Northeast Midwest South West National Space Heating 70.3 56.6 20.4 23.8 38.7 Space Cooling 3.6 5.6 13.9 4.0 7.9 Water Heating 21.1 20.4 15.8 21.2 19.0 Refrigerator 5.4 7.0 6.6 5.7 6.3 Other Appliances & Lighting 23.0 25.9 25.0 24.1 24.7 Total (1) 79.9 77.4 95.0 Note(s): Source(s): 2005 Delivered Energy End-Uses for an Average Household, by Region (Million Btu per Household) 122.2 113.5 1) Due to rounding, sums do not add up to totals. EIA, 2005 Residential Energy Consumption Survey, Oct.

  13. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) All Reports & Publications Search By: Go Pick a date range: From: To: Go graph of U.S. estimated distributed and utility-scale solar capacity and generation, as explained in the article text EIA electricity data now include estimated small-scale solar PV capacity and generation December 2, 2015 U.S. energy-related CO2 emissions up 1% in 2014 as buildings, transport energy use rises November 24, 2015 Natural gas use features two seasonal peaks

  14. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration (EIA) Share of energy used by appliances and consumer electronics increases in U.S. homes RECS 2009 - Release date: March 28, 2011 Over the past three decades, the share of residential electricity used by appliances and electronics in U.S. homes has nearly doubled from 17 percent to 31 percent, growing from 1.77 quadrillion Btu (quads) to 3.25 quads. This rise has occurred while Federal energy efficiency standards were enacted on every major appliance,

  15. Control and Size Energy Storage for Managing Energy balance of Variable Generation Resources

    SciTech Connect (OSTI)

    Ke, Xinda; Lu, Ning; Jin, Chunlian

    2015-01-01

    This paper presents control algorithms and sizing strategies for using energy storage to manage energy balance for variable generation resources. The control objective is to minimize the hourly generation imbalance between the actual and the scheduled generation of the wind farm. Three control algorithms are compared: tracking power imbalance, post-compensation, and pre-compensation. Measurement data from a wind farm located in South-central Washington State are used in the study. The results show that tracking power imbalance yields the best performance by keeping the hourly energy imbalances zero. However, the energy storage system (ESS) will be significantly oversized. Post-compensation reduces power rating of the ESS but the hourly imbalance may not be kept as zero when large and long-lasting energy imbalances occur. A linear regression forecasting algorithm is developed for the pre-compensation algorithm to pre-charge or pre-discharge the ESS based on predicted energy imbalances. The performance comparison shows that the pre-compensation method significantly reduces the size of the ESS while maintaining satisfactory performance.

  16. Changes in Natural Gas Monthly Consumption Data Collection and the Short-Term Energy Outlook

    Reports and Publications (EIA)

    2010-01-01

    Beginning with the December 2010 issue of the Short-Term Energy Outlook (STEO), the Energy Information Administration (EIA) will present natural gas consumption forecasts for the residential and commercial sectors that are consistent with recent changes to the Form EIA-857 monthly natural gas survey.

  17. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

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

    U.S. Energy Information Administration (EIA) Cost of Natural Gas Used in Manufacturing Sector Has Fallen MECS 2010 - Release date: September 6, 2013 Natural gas has been an important exception to the trend of rising prices for energy sources used by manufacturers. Production of natural gas in the United States increased rapidly beginning in 2007 as a result of resources found in shale formations. That increase in supply has in turn lowered the price of natural gas to manufacturers as well as

  18. China's transportation energy consumption and CO2 emissions from a global perspective

    SciTech Connect (OSTI)

    Yin, Xiang; Chen, Wenying; Eom, Jiyong; Clarke, Leon E.; Kim, Son H.; Patel, Pralit L.; Yu, Sha; Kyle, G. Page

    2015-07-01

    ABSTRACT Rapidly growing energy demand from China's transportation sector in the last two decades have raised concerns over national energy security, local air pollution, and carbon dioxide (CO2) emissions, and there is broad consensus that China's transportation sector will continue to grow in the coming decades. This paper explores the future development of China's transportation sector in terms of service demands, final energy consumption, and CO2 emissions, and their interactions with global climate policy. This study develops a detailed China transportation energy model that is nested in an integrated assessment modelGlobal Change Assessment Model (GCAM)to evaluate the long-term energy consumption and CO2 emissions of China's transportation sector from a global perspective. The analysis suggests that, without major policy intervention, future transportation energy consumption and CO2 emissions will continue to rapidly increase and the transportation sector will remain heavily reliant on fossil fuels. Although carbon price policies may significantly reduce the sector's energy consumption and CO2 emissions, the associated changes in service demands and modal split will be modest, particularly in the passenger transport sector. The analysis also suggests that it is more difficult to decarbonize the transportation sector than other sectors of the economy, primarily owing to its heavy reliance on petroleum products.

  19. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    3 Buildings Share of U.S. Primary Energy Consumption (Percent) Total Consumption Total Industry Transportation Total (quads) 1980(1) 20.1% 13.5% | 33.7% 41.1% 25.2% 100% | 78.1 1981 20.0% 13.9% | 33.9% 40.4% 25.6% 100% | 76.1 1982 21.2% 14.8% | 36.0% 37.9% 26.1% 100% | 73.1 1983 21.1% 15.0% | 36.1% 37.7% 26.3% 100% | 72.9 1984 20.8% 14.9% | 35.7% 38.7% 25.7% 100% | 76.6 1985 21.0% 15.0% | 35.9% 37.8% 26.3% 100% | 76.5 1986 20.8% 15.1% | 35.9% 37.0% 27.1% 100% | 76.6 1987 20.5% 15.1% | 35.6%

  20. All Consumption Tables.vp

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

    4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004...

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

    SciTech Connect (OSTI)

    Not Available

    1993-09-24

    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.

  2. ,"Total Fuel Oil Consumption

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

    0. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for Non-Mall Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  3. ,"Total Fuel Oil Consumption

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

    A. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  4. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    2 Commercial Site Renewable Energy Consumption (Quadrillion Btu) (1) Growth Rate Wood (2) Solar Thermal (3) Solar PV (3) GHP Total 2010-Year 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 0.110 0.035 0.010 N.A. 0.155 0.4% 0.110 0.035 0.009 N.A. 0.154 0.4% 0.110 0.035 0.009 N.A. 0.153 0.4% 0.110

  5. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    9 2003 Commercial Delivered Energy Consumption Intensities, by Principal Building Type and Vintage (1) | Building Type Pre-1959 1960-1989 1990-2003 | Building Type Pre-1959 1960-1989 1990-2003 Health Care 178.1 216.0 135.7 | Education 77.7 88.3 80.6 Inpatient 230.3 255.3 253.8 | Service 62.4 86.0 74.8 Outpatient 91.6 110.4 84.4 | Food Service 145.2 290.1 361.2 Food Sales 205.8 197.6 198.3 | Religious Worship 46.6 39.9 43.3 Lodging 88.2 111.5 88.1 | Public Order & Safety N.A. 101.3 110.6

  6. Potential for the Use of Energy Savings Performance Contracts to Reduce Energy Consumption and Provide Energy and Cost Savings in Non-Building Applications

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

    for the Use of Energy Savings Performance Contracts to Reduce Energy Consumption and Provide Energy and Cost Savings in Non-Building Applications A Joint Study by the United States Secretaries of Energy and Defense Authorized in the Energy Independence and Security Act 2007 by Congress Prepared by US Department of Energy Office of Energy Efficiency and Renewable Energy, Federal Energy Management Program For questions and comments please contact: Schuyler Schell Federal Energy Management Program

  7. National Assessment of Energy Storage for Grid Balancing and Arbitrage: Phase 1, WECC

    SciTech Connect (OSTI)

    Kintner-Meyer, Michael CW; Balducci, Patrick J.; Colella, Whitney G.; Elizondo, Marcelo A.; Jin, Chunlian; Nguyen, Tony B.; Viswanathan, Vilayanur V.; Zhang, Yu

    2012-06-01

    To examine the role that energy storage could play in mitigating the impacts of the stochastic variability of wind generation on regional grid operation, the Pacific Northwest National Laboratory (PNNL) examined a hypothetical 2020 grid scenario in which additional wind generation capacity is built to meet renewable portfolio standard targets in the Western Interconnection. PNNL developed a stochastic model for estimating the balancing requirements using historical wind statistics and forecasting error, a detailed engineering model to analyze the dispatch of energy storage and fast-ramping generation devices for estimating size requirements of energy storage and generation systems for meeting new balancing requirements, and financial models for estimating the life-cycle cost of storage and generation systems in addressing the future balancing requirements for sub-regions in the Western Interconnection. Evaluated technologies include combustion turbines, sodium sulfur (Na-S) batteries, lithium ion batteries, pumped-hydro energy storage, compressed air energy storage, flywheels, redox flow batteries, and demand response. Distinct power and energy capacity requirements were estimated for each technology option, and battery size was optimized to minimize costs. Modeling results indicate that in a future power grid with high-penetration of renewables, the most cost competitive technologies for meeting balancing requirements include Na-S batteries and flywheels.

  8. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    3 World Primary Energy Consumption and Population, by Country/Region 1990-2000 2000-2010 Region/Country 1990 2000 2010 1990 2000 2010 Energy Pop. Energy Pop. United States 85.0 99.8 97.8 18.7% 250 282 311 4.6% 1.6% 1.2% -0.2% 1.0% China 27.0 36.4 104.6 20.0% 1,148 1,264 1,343 20.0% 3.0% 1.0% 11.1% 0.6% OECD Europe 69.9 76.8 79.6 15.2% 402 522 550 8.2% 0.9% 2.6% 0.4% 0.5% Other Non-OECD Asia 12.5 20.6 31.3 6.0% 781 1,014 1,086 16.2% 5.1% 2.6% 4.2% 0.7% Russia (1) 61.0 27.2 29.9 5.7% 288 147 140

  9. Verification Of Energy Balance In The Ansys V5.4 Thermal Calculations

    SciTech Connect (OSTI)

    H. Marr; M.J. Anderson

    2001-02-08

    The objective of this calculation is to verify the energy balance of the thermal calculations analyzed by ANSYS Version (V) 5.4 solver (see Section 4). The scope of this calculation is limited to calculating the energy balance of a two-dimensional repository thermal representation using the temperatures obtained from ANSYS V5.4. The procedure, AP-3.124, Calculations (Ref. 3), and the Technical Work Plan for: Waste Package Design Description for LA (Ref. 2) are used to develop this calculation. The associated activity is the development of engineering evaluations to support the Licensing Application design activities.

  10. Minimizing Wind Power Producer's Balancing Costs Using Electrochemical Energy Storage: Preprint

    SciTech Connect (OSTI)

    Miettinen, J.; Tikka, V.; Lassila, J.; Partanen, J.; Hodge, B. M.

    2014-08-01

    This paper examines how electrochemical energy storage can be used to decrease the balancing costs of a wind power producer in the Nordic market. Because electrochemical energy storage is developing in both technological and financial terms, a sensitivity analysis was carried out for the most important variables in the wind-storage hybrid system. The system was studied from a wind power producer's point of view. The main result is that there are no technical limitations to using storage for reducing the balancing costs. However, in terms of economic feasibility, installing hybrid wind-storage systems such as the one studied in this paper faces challenges in both the short and long terms.

  11. Constraining Energy Consumption of China's Largest IndustrialEnterprises Through the Top-1000 Energy-Consuming EnterpriseProgram

    SciTech Connect (OSTI)

    Price, Lynn; Wang, Xuejun

    2007-06-01

    Between 1980 and 2000, China's energy efficiency policiesresulted in a decoupling of the traditionally linked relationship betweenenergy use and gross domestic product (GDP) growth, realizing a four-foldincrease in GDP with only a doubling of energy use. However, during Chinas transition to a market-based economy in the 1990s, many of thecountry's energy efficiency programs were dismantled and between 2001 and2005 China's energy use increased significantly, growing at about thesame rate as GDP. Continuation of this one-to-one ratio of energyconsumption to GDP given China's stated goal of again quadrupling GDPbetween 2000 and 2020 will lead to significant demand for energy, most ofwhich is coal-based. The resulting local, national, and globalenvironmental impacts could be substantial.In 2005, realizing thesignificance of this situation, the Chinese government announced anambitious goal of reducing energy consumption per unit of GDP by 20percent between 2005 and 2010. One of the key initiatives for realizingthis goal is the Top-1000 Energy-Consuming Enterprises program. Thecomprehensive energy consumption of these 1000 enterprises accounted for33 percent of national and 47 percent of industrial energy usage in 2004.Under the Top-1000 program, 2010 energy consumption targets wereannounced for each enterprise. Activities to be undertaken includebenchmarking, energy audits, development of energy saving action plans,information and training workshops, and annual reporting of energyconsumption. This paper will describe the program in detail, includingthe types of enterprises included and the program activities, and willprovide an analysis of the progress and lessons learned todate.

  12. 2009 Residential Energy Consumption Survey Form EIA-457C (2009)-Rental Agents, Landlords, and Apartment Managers Questionnaire

    Gasoline and Diesel Fuel Update (EIA)

    Residential Energy Consumption Survey Form EIA-457C (2009)-Rental Agents, Landlords, and Apartment Managers Questionnaire OMB No. 1905-0092, Expiring Month DD, 20YY 1 U.S. Department of Energy Energy Information Administration 2009 Residential Energy Consumption Survey Nationwide Survey on Household Energy Use Rental Agents, Landlords, and Apartment Managers Questionnaire INTRODUCTION TO INTERVIEW A tenant at ^HUBUILDADDRESS unit ^RAUNIT has provided some information about the energy use in

  13. Future U.S. water consumption : The role of energy production.

    SciTech Connect (OSTI)

    Elcock, D.; Environmental Science Division

    2010-06-01

    This study investigates how meeting domestic energy production targets for both fossil and renewable fuels may affect future water demand. It combines projections of energy production developed by the U.S. Department of Energy with estimates of water consumption on a per-unit basis (water-consumption coefficients) for coal, oil, gas, and biofuels production, to estimate and compare the domestic freshwater consumed. Although total domestic freshwater consumption is expected to increase by nearly 7% between 2005 and 2030, water consumed for energy production is expected to increase by nearly 70%, and water consumed for biofuels (biodiesel and ethanol) production is expected to increase by almost 250%. By 2030, water consumed in the production of biofuels is projected to account for nearly half of the total amount of water consumed in the production of all energy fuels. Most of this is for irrigation, and the West North Central Region is projected to consume most of this water in 2030. These findings identify an important potential future conflict between renewable energy production and water availability that warrants further investigation and action to ensure that future domestic energy demand can be met in an economically efficient and environmentally sustainable manner.

  14. Table A20. Total First Use (formerly Primary Consumption) of Energy for All P

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

    Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census" " Region, Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Btu or Physical Units)" ,,,,,,,,"Coke",,"Shipments" " "," ","Net","Residual","Distillate","Natural Gas(e)"," ","Coal","and Breeze"," ","of Energy

  15. Comparison of Real World Energy Consumption to Models and DOE Test Procedures

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

    Comparison of Real World Energy Consumption to Models and Department of Energy Test Procedures September 2011 i NOTICE This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government, nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors, or their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness,

  16. Impact of Energy Policy Act of 2005 Section 206 Rebates on Consumers and Renewable Energy Consumption, With Projections to 2010

    Reports and Publications (EIA)

    2006-01-01

    The Energy Information Administration (EIA), with the agreement of the Department, interpreted section 206(d) as calling for a listing of the types of renewable fuels available today, and a listing of those that will be available in the future based on the incentives provided in section 206(d). This report provides that information, and also provides information concerning renewable energy equipment and renewable energy consumption.

  17. Derived annual estimates of manufacturing energy consumption, 1974--1988. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, purchased'' energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as offsite-produced fuels.''

  18. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    U.S. Residential and Commercial Buildings Total Primary Energy Consumption (Quadrillion Btu and Percent of Total) Electricity Growth Rate Natural Gas Petroleum (1) Coal Renewable(2) Sales Losses Total TOTAL (2) 2010-Year 1980 7.42 28.2% 3.04 11.5% 0.15 0.6% 0.87 3.3% 4.35 10.47 14.82 56.4% 26.29 100% - 1981 7.11 27.5% 2.63 10.2% 0.17 0.6% 0.89 3.5% 4.50 10.54 15.03 58.2% 25.84 100% - 1982 7.32 27.8% 2.45 9.3% 0.19 0.7% 0.99 3.8% 4.57 10.80 15.37 58.4% 26.31 100% - 1983 6.93 26.4% 2.50 9.5% 0.19

  19. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    Commercial Primary Energy Consumption, by Year and Fuel Type (Quadrillion Btu and Percent of Total) Electricity Growth Rate Natural Gas Petroleum (1) Coal Renewable(2) Sales Losses Total Total(3) 2010-Year 1980 2.63 24.9% 1.31 12.4% 0.12 1.1% 0.02 0.2% 1.91 4.58 6.49 61.4% 1981 2.54 23.9% 1.12 10.5% 0.14 1.3% 0.02 0.2% 2.03 4.76 6.80 64.1% 1982 2.64 24.3% 1.03 9.5% 0.16 1.4% 0.02 0.2% 2.08 4.91 6.99 64.5% 1983 2.48 22.7% 1.16 10.7% 0.16 1.5% 0.02 0.2% 2.12 4.98 7.09 65.0% 1984 2.57 22.5% 1.22

  20. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    2 U.S. Buildings Site Renewable Energy Consumption (Quadrillion Btu) (1) Growth Rate Wood (2) Solar Thermal (3) Solar PV (3) GSHP (4) Total 2010-Year 1980 0.867 0.000 N.A. 0.000 0.867 - 1981 0.894 0.000 N.A. 0.000 0.894 - 1982 0.993 0.000 N.A. 0.000 0.993 - 1983 0.992 0.000 N.A. 0.000 0.992 - 1984 1.002 0.000 N.A. 0.000 1.002 - 1985 1.034 0.000 N.A. 0.000 1.034 - 1986 0.947 0.000 N.A. 0.000 0.947 - 1987 0.882 0.000 N.A. 0.000 0.882 - 1988 0.942 0.000 N.A. 0.000 0.942 - 1989 1.018 0.052 N.A.

  1. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    0 Region (1) Northeast 73.5 122.2 47.7 24% New England 77.0 129.4 55.3 7% Middle Atlantic 72.2 119.7 45.3 17% Midwest 58.9 113.5 46.0 28% East North Central 61.1 117.7 47.3 20% West North Central 54.0 104.1 42.9 8% South 51.5 79.8 31.6 31% South Atlantic 47.4 76.1 30.4 16% East South Central 56.6 87.3 36.1 6% West South Central 56.6 82.4 31.4 9% West 56.6 77.4 28.1 18% Mountain 54.4 89.8 33.7 6% Pacific 58.0 71.8 25.7 11% U.S. Average 58.7 94.9 37.0 100% Note(s): Source(s): 1) Energy consumption

  2. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    3 Building Type Pre-1995 1995-2005 Pre-1995 1995-2005 Pre-1995 1995-2005 Single-Family 38.4 44.9 102.7 106.2 38.5 35.5 Detached 37.9 44.7 104.5 107.8 38.8 35.4 Attached 43.8 55.5 86.9 85.1 34.2 37.6 Multi-Family 63.8 58.7 58.3 49.2 27.2 24.3 2 to 4 units 69.0 55.1 70.7 59.4 29.5 25.0 5 or more units 61.5 59.6 53.6 47.2 26.3 24.2 Mobile Homes 82.4 57.1 69.6 74.5 29.7 25.2 Note(s): Source(s): 2005 Residential Delivered Energy Consumption Intensities, by Principal Building Type and Vintage Per

  3. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    4 Primary Energy Consumption Total Per Household 1980 79.6 N.A. 123.5 15.72 197.4 1981 82.8 N.A. 114.2 15.23 184.0 1982 83.7 N.A. 114.6 15.48 184.9 1983 84.6 N.A. 110.6 15.38 181.9 1984 86.3 N.A. 113.9 15.90 184.2 1985 87.9 N.A. 111.7 16.02 182.3 1986 89.1 N.A. 108.4 15.94 178.8 1987 90.5 N.A. 108.2 16.21 179.1 1988 92.0 N.A. 112.7 17.12 186.0 1989 93.5 N.A. 113.7 17.76 190.0 1990 94.2 N.A. 102.7 16.92 179.5 1991 95.3 N.A. 104.6 17.38 182.4 1992 96.4 N.A. 104.7 17.31 179.6 1993 97.7 N.A. 107.5

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

    SciTech Connect (OSTI)

    Price, Lynn; Price, Lynn; Wang, Xuejun; Yun, Jiang

    2008-06-02

    In 2005, the Chinese government announced an ambitious goal of reducing energy consumption per unit of GDP by 20% between 2005 and 2010. One of the key initiatives for realizing this goal is the Top-1000 Energy-Consuming Enterprises program. The energy consumption of these 1000 enterprises accounted for 33% of national and 47% of industrial energy usage in 2004. Under the Top-1000 program, 2010 energy consumption targets were determined for each enterprise. The objective of this paper is to evaluate the program design and initial results, given limited information and data, in order to understand the possible implications of its success in terms of energy and carbon dioxide emissions reductions and to recommend future program modifications based on international experience with similar target-setting agreement programs. Even though the Top-1000 Program was designed and implemented rapidly, it appears that--depending upon the GDP growth rate--it could contribute to somewhere between approximately 10% and 25% of the savings required to support China's efforts to meet a 20% reduction in energy use per unit of GDP by 2010.

  5. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    1 Buildings Share of U.S. Petroleum Consumption (Percent) U.S. Petroleum Site Consumption Primary Consumption Total Buildings Industry Electric Gen. Transportation Buildings Industry Transportation (quads) 1980 9% 28% 8% 56% | 14% 31% 56% 34.2 1981 8% 26% 7% 59% | 12% 29% 59% 31.9 1982 8% 26% 5% 61% | 11% 28% 61% 30.2 1983 8% 25% 5% 62% | 12% 27% 62% 30.1 1984 9% 26% 4% 61% | 11% 27% 61% 31.1 1985 8% 25% 4% 63% | 11% 26% 63% 30.9 1986 8% 24% 5% 63% | 11% 26% 63% 32.2 1987 8% 25% 4% 63% | 11% 26%

  6. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    4 Commercial Buildings Share of U.S. Natural Gas Consumption (Percent) Site Consumption Primary Consumption Total Commercial Industry Electric Gen. Transportation Commercial Industry Transportation (quads) 1980 13% 41% 19% 3% | 18% 49% 3% 20.22 1981 13% 42% 19% 3% | 18% 49% 3% 19.74 1982 14% 39% 18% 3% | 20% 45% 3% 18.36 1983 14% 39% 17% 3% | 19% 46% 3% 17.20 1984 14% 40% 17% 3% | 19% 47% 3% 18.38 1985 14% 40% 18% 3% | 19% 46% 3% 17.70 1986 14% 40% 16% 3% | 19% 46% 3% 16.59 1987 14% 41% 17% 3% |

  7. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    5 Commercial Buildings Share of U.S. Petroleum Consumption (Percent) Site Consumption Primary Consumption Total Commercial Industry Electric Gen. Transportation Commercial Industry Transportation (quads) 1980 4% 28% 8% 56% | 6% 31% 56% 34.2 1981 4% 26% 7% 59% | 5% 29% 59% 31.9 1982 3% 26% 5% 61% | 5% 28% 61% 30.2 1983 4% 25% 5% 62% | 5% 27% 62% 30.1 1984 4% 26% 4% 61% | 5% 27% 61% 31.1 1985 3% 25% 4% 63% | 5% 26% 63% 30.9 1986 4% 24% 5% 63% | 5% 26% 63% 32.2 1987 3% 25% 4% 63% | 5% 26% 63% 32.9

  8. R A N K I N G S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    5 Table C10. Energy Consumption Estimates by End-Use Sector, Ranked by State, 2013 Rank Residential Sector Commercial Sector Industrial Sector a Transportation Sector Total Consumption a State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,685.9 Texas 1,609.9 Texas 6,574.8 Texas 3,073.5 Texas 12,944.1 2 California 1,480.0 California 1,483.8 Louisiana 2,562.0 California 2,907.8 California 7,684.1 3 Florida 1,168.3 New York 1,134.2 California

  9. R A N K I N G S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    8 Table C13. Energy Consumption Estimates per Capita by End-Use Sector, Ranked by State, 2013 Rank Residential Sector Commercial Sector Industrial Sector Transportation Sector Total Consumption State Million Btu State Million Btu State Million Btu State Million Btu State Million Btu 1 North Dakota 101.4 District of Columbia 171.4 Louisiana 553.4 Alaska 234.4 Wyoming 918.1 2 West Virginia 93.9 North Dakota 118.0 Wyoming 530.1 Wyoming 195.5 Louisiana 828.4 3 Missouri 89.0 Wyoming 108.1 Alaska

  10. Computer usage and national energy consumption: Results from a field-metering study

    SciTech Connect (OSTI)

    Desroches, Louis-Benoit; Fuchs, Heidi; Greenblatt, Jeffery; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah; Young, Scott

    2014-12-01

    The electricity consumption of miscellaneous electronic loads (MELs) in the home has grown in recent years, and is expected to continue rising. Consumer electronics, in particular, are characterized by swift technological innovation, with varying impacts on energy use. Desktop and laptop computers make up a significant share of MELs electricity consumption, but their national energy use is difficult to estimate, given uncertainties around shifting user behavior. This report analyzes usage data from 64 computers (45 desktop, 11 laptop, and 8 unknown) collected in 2012 as part of a larger field monitoring effort of 880 households in the San Francisco Bay Area, and compares our results to recent values from the literature. We find that desktop computers are used for an average of 7.3 hours per day (median = 4.2 h/d), while laptops are used for a mean 4.8 hours per day (median = 2.1 h/d). The results for laptops are likely underestimated since they can be charged in other, unmetered outlets. Average unit annual energy consumption (AEC) for desktops is estimated to be 194 kWh/yr (median = 125 kWh/yr), and for laptops 75 kWh/yr (median = 31 kWh/yr). We estimate national annual energy consumption for desktop computers to be 20 TWh. National annual energy use for laptops is estimated to be 11 TWh, markedly higher than previous estimates, likely reflective of laptops drawing more power in On mode in addition to greater market penetration. This result for laptops, however, carries relatively higher uncertainty compared to desktops. Different study methodologies and definitions, changing usage patterns, and uncertainty about how consumers use computers must be considered when interpreting our results with respect to existing analyses. Finally, as energy consumption in On mode is predominant, we outline several energy savings opportunities: improved power management (defaulting to low-power modes after periods of inactivity as well as power scaling), matching the rated power of power supplies to computing needs, and improving the efficiency of individual components.

  11. Reduced Energy Consumption through the Development of Fuel-Flexible Gas Turbines

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

    Development of Fuel-Flexible Combustion Systems Utilizing Opportunity Fuels in Gas Turbines ADVANCED MANUFACTURING OFFICE Reduced Energy Consumption through the Development of Fuel-Flexible Gas Turbines Introduction Gas turbines-heat engines that use high-temperature and high-pressure gas as the combustible fuel-are used extensively throughout U.S. industry to power industrial processes. The majority of turbines are operated using natural gas because of its availability, low cost, and

  12. Table A13. Total Consumption of Offsite-Produced Energy for Heat, Power, and

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

    3. Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Census Region and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,,,"Coke" " "," "," ","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "

  13. Table A17. Total First Use (formerly Primary Consumption) of Energy for All P

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

    Total First Use (formerly Primary Consumption) of Energy for All Purposes" " by Employment Size Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," "," Employment Size(b)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",1000,"Row" "Code(a)","Industry Group and

  14. Table A32. Total Consumption of Offsite-Produced Energy for Heat, Power, and

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

    Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Value of Shipment Categories, Industry Group, and" " Selected Industries, 1991" " (Estimates in Trillion Btu)" ,,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,," ","-","-","-","-","-","-","RSE" ," "," ","

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

    SciTech Connect (OSTI)

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

    1983-04-01

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

  16. Benchmarking the energy efficiency of Dutch industry: An assessment of the expected effect on energy consumption and CO2 emissions

    SciTech Connect (OSTI)

    Phylipsen, Dian; Blok, Kornelis; Worrell, Ernst; De Beer, Jeroen

    2002-06-01

    As part of its energy and climate policy the Dutch government has reached an agreement with the Dutch energy-intensive industry that is explicitly based on industry's relative energy efficiency performance. The energy efficiency of the Dutch industry is benchmarked against that of comparable industries in countries world-wide. In the agreement, industry is required to belong to the top-of-the-world in terms of energy efficiency. In return, the government refrains from implementing additional climate policies.This article assesses the potential effects of this agreement on energy consumption and CO2 emissions by comparing the current level of energy efficiency of the Dutch industry - including electricity production - to that of the most efficient countries and regions. At the current structure achieving the regional best practice level for the selected energy-intensive industries would result in a 5plus or minus 2 percent lower current primary energy consumption than the actual level. Most of the savings are expected in the petrochemical industry and in electricity generation. Avoided CO2 emissions would amount to 4 Mt CO2. A first estimate of the effect of the benchmarking agreement in 2012 suggests primary energy savings of 50-130 PJ or 5-10 Mt CO2 avoided compared to the estimated Business as Usual development (5-15 percent). This saving is smaller than what a continuation of the existing policies of Long Term Agreements would probably deliver.

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

    SciTech Connect (OSTI)

    Zhou, Nan; Nishida, Masaru; Gao, Weijun

    2008-12-01

    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.

  18. Table 2.2 Manufacturing Energy Consumption for All Purposes, 2006 (Trillion Btu )

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

    Manufacturing Energy Consumption for All Purposes, 2006 (Trillion Btu ) NAICS 1 Code Manufacturing Group Coal Coal Coke and Breeze 2 Natural Gas Distillate Fuel Oil LPG 3 and NGL 4 Residual Fuel Oil Net Electricity 5 Other 6 Shipments of Energy Sources 7 Total 8 311 Food 147 1 638 16 3 26 251 105 (s) 1,186 312 Beverage and Tobacco Products 20 0 41 1 1 3 30 11 -0 107 313 Textile Mills 32 0 65 (s) (s) 2 66 12 -0 178 314 Textile Product Mills 3 0 46 (s) 1 Q 20 (s) -0 72 315 Apparel 0 0 7 (s) (s)

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    This case study outlines how General Motors (GM) developed a highly efficient pumping system for their Pontiac Operations Complex in Pontiac, Michigan. In short, GM was able to replace five original 60- to 100-hp pumps with three 15-hp pumps whose speed could be adjusted to meet plant requirements. As a result, the company reduced pumping system energy consumption by 80 percent (225,100 kWh per year), saving an annual $11,255 in pumping costs. With a capital investment of $44,966 in the energy efficiency portion of their new system, GM projected a simple payback of 4 years.

  20. Department of Energy Announces Funding to Help Consumers Better Manage Their Energy Consumption

    Broader source: Energy.gov [DOE]

    New Funding Opportunity Provides More Knowledge to Consumers about their Energy Use; Could Lead to Lower Energy Bills for Consumers

  1. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    20 Site Consumption Primary Consumption Total Residential Industry Electric Gen. Transportation Residential Industry Transportation (quads) 1980 5% 28% 8% 56% | 8% 31% 56% 34.2 1981 5% 26% 7% 59% | 7% 29% 59% 31.9 1982 5% 26% 5% 61% | 6% 28% 61% 30.2 1983 4% 25% 5% 62% | 6% 27% 62% 30.1 1984 5% 26% 4% 61% | 6% 27% 61% 31.1 1985 5% 25% 4% 63% | 6% 26% 63% 30.9 1986 5% 24% 5% 63% | 6% 26% 63% 32.2 1987 5% 25% 4% 63% | 6% 26% 63% 32.9 1988 5% 24% 5% 63% | 6% 26% 63% 34.2 1989 5% 24% 5% 63% | 7% 25%

  2. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    59 Appendix B. Thermal Conversion Factors A P P E N D I X B Table B1. Approximate Heat Content of Petroleum and Heat Rates for Electricity, Selected Years, 1960-2013 Year Petroleum Consumption Electricity Net Generation Distillate Fuel Oil, All Sectors (DFTCKUS) Liquefied Petroleum Gases, Industrial Sector (LGICKUS) Liquefied Petroleum Gases, All Sectors (LGTCKUS) Motor Gasoline, All Sectors (MGTCKUS) Total Petroleum Products, All Sectors a (PATCKUS) Fossil-Fueled Steam-Electric Plants b

  3. U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    59 Appendix B. Thermal Conversion Factors A P P E N D I X B Table B1. Approximate Heat Content of Petroleum and Heat Rates for Electricity, Selected Years, 1960-2014 Year Petroleum Consumption Electricity Net Generation Distillate Fuel Oil, All Sectors (DFTCKUS) Liquefied Petroleum Gases, Industrial Sector (LGICKUS) Liquefied Petroleum Gases, All Sectors (LGTCKUS) Motor Gasoline, All Sectors (MGTCKUS) Total Petroleum Products, All Sectors a (PATCKUS) Fossil-Fueled Steam-Electric Plants b

  4. "Table A11. Total Primary Consumption of Combustible Energy for Nonfuel"

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

    1. Total Primary Consumption of Combustible Energy for Nonfuel" " Purposes by Census Region and Economic Characteristics of the Establishment," 1991 " (Estimates in Btu or Physical Units)" " "," "," "," ","Natural"," "," ","Coke"," "," " " ","Total","Residual","Distillate","Gas(c)"," ","Coal","and

  5. "Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual"

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

    Total Delivered Industrial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",25.43,25.904,26.303,26.659,26.974,27.062,26.755,26.598,26.908,27.228,27.668,28.068,28.348,28.668,29.068,29.398,29.688,30.008 "AEO

  6. Label Building Natural Gas Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS)

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

    Natural Gas Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS) 1. Timely submission of this report is mandatory under Public Law 93-275, as amended. 2. This completed questionnaire is due by 3. Data reported on this questionnaire are for the entire building identified in the label to the right. 4. Data may be submitted directly on this questionnaire or in any other format, such as a computer-generated listing, which provides the same i nformation and is conve nient for y our

  7. Table A14. Total First Use (formerly Primary Consumption) of Energy for All P

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

    4. Total First Use (formerly Primary Consumption) of Energy for All Purposes" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row"," ","

  8. Table A30. Total Primary Consumption of Energy for All Purposes by Value of

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

    0. Total Primary Consumption of Energy for All Purposes by Value of" "Shipment Categories, Industry Group, and Selected Industries, 1991" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," ","(million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," ","

  9. Table A33. Total Primary Consumption of Energy for All Purposes by Employment

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

    Primary Consumption of Energy for All Purposes by Employment" " Size Categories, Industry Group, and Selected Industries, 1991 (Continued)" " (Estimates in Trillion Btu)" ,,,,,"Employment Size" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," ",,500,"Row" "Code(a)","Industry Groups and

  10. Table A9. Total Primary Consumption of Energy for All Purposes by Census

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

    A9. Total Primary Consumption of Energy for All Purposes by Census" " Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,,,"Coke" " "," ","Net","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" " ","Total","Electricity(b)","Fuel

  11. Buildings Energy Data Book: 8.1 Buildings Sector Water Consumption

    Buildings Energy Data Book [EERE]

    1 Buildings Sector Water Consumption March 2012 8.1.2 Average Energy Intensity of Public Water Supplies by Location (kWh per Million Gallons) Location United States (2) 627 437 1,363 United States (3) 65 (6) 1,649 Northern California Indoor 111 1,272 1,911 Northern California Outdoor 111 1,272 0 Southern California Indoor (5) 111 1,272 1,911 Southern California Outdoor 111 1,272 0 Iowa (6) 380 1,570 Massachusetts (6) (6) 1,750 Wisconsin Class AB (4) - - Wisconsin Class C (4) - - Wisconsin Class

  12. CSV File Documentation: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    Consumption Estimates The State Energy Data System (SEDS) comma-separated value (CSV) files contain consumption estimates shown in the tables located on the SEDS website. There are four files that contain estimates for all states and years. Consumption in Physical Units contains the consumption estimates in physical units for all states; Consumption in Btu contains the consumption estimates in billion British thermal units (Btu) for all states. There are two data files for thermal conversion

  13. 2001 Residential Energy Consumption Survey Form EIA-457C (2001)--Rental Agents, Landlords, and Apartment Managers Questionnaire

    Gasoline and Diesel Fuel Update (EIA)

    Form EIA-457C (2001)--Rental Agents, Landlords, and Apartment Managers Questionnaire OMB No. 1905-0092, Expiring March 31, 200X i U.S. Department of Energy Energy Information Administration 2001 Residential Energy Consumption Survey Rental Agents, Landlords, and Apartment Managers Questionnaire INTRODUCTION TO INTERVIEW Hello, I am __________________________ from Roper Starch Worldwide Inc., a social science research firm. We are conducting a study for the U.S. Department of Energy about energy

  14. DOE/EIA-0555(95)/2 Energy Consumption Series Measuring Energy...

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

    is possible to separate the effects unrelated to energy efficiency. This approach can be thought of as a "top-down" approach. It is like peeling away all the effects until energy...

  15. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    83 Section 5. Renewable Energy Renewable energy sources included in the State Energy Data System (SEDS) comprise fuel ethanol, wood, waste, hydroelectric, geothermal, wind, photovoltaic, and solar thermal energy. Fuel Ethanol Fuel ethanol is used as a gasoline octane enhancer and oxygenate. A small amount of fuel ethanol is used as an alternative fuel, such as E85. It is typically produced chemically from ethylene, or biologically from fermentation of various sugars from carbohydrates found in

  16. U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    87 Section 5. Renewable Energy Renewable energy sources included in the State Energy Data System (SEDS) comprise fuel ethanol, wood, waste, hydroelectric, geothermal, wind, photovoltaic, and solar thermal energy. Fuel Ethanol Fuel ethanol is used as a gasoline octane enhancer and oxygenate. A small amount of fuel ethanol is used as an alternative fuel, such as E85. It is typically produced biologically from biomass feedstocks such as agricultural crops and cellulosic residues from agricultural

  17. S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    9 Table C6. Commercial Sector Energy Consumption Estimates, 2013 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric Power e Biomass Geothermal Retail Electricity Sales Net Energy g Electrical System Energy Losses h Total g Distillate Fuel Oil Kerosene LPG b Motor Gasoline c Residual Fuel Oil Total d Wood and Waste f Alabama ............. 0.0 25.7 4.2 (s) 2.3 0.2 0.0 6.8 0.0 0.9 0.0 77.1 110.5 146.3 256.8 Alaska ................. 8.9 18.7 6.8 (s) 0.8 0.4 0.0 8.0 0.0 0.7 0.1 9.6

  18. S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    0 Table C7. Industrial Sector Energy Consumption Estimates, 2013 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power e Biomass Geo- thermal Retail Electricity Sales Net Energy h,i Electrical System Energy Losses j Total h,i Distillate Fuel Oil LPG b Motor Gasoline c Residual Fuel Oil Other d Total Wood and Waste f Losses and Co- products g Alabama ............. 76.4 204.6 23.1 3.7 2.6 1.9 39.6 70.9 0.0 159.8 0.0 (s) 115.6 627.3 219.2 846.5 Alaska ................. (s) 260.1

  19. S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    1 Table C8. Transportation Sector Energy Consumption Estimates, 2013 (Trillion Btu) State Coal Natural Gas a Petroleum Retail Electricity Sales Net Energy Electrical System Energy Losses e Total Aviation Gasoline Distillate Fuel Oil Jet Fuel b LPG c Lubricants Motor Gasoline d Residual Fuel Oil Total Alabama ............. 0.0 22.7 0.3 117.3 13.2 0.5 2.2 308.2 5.0 446.8 0.0 469.5 0.0 469.5 Alaska ................. 0.0 0.9 0.7 32.0 107.3 0.1 0.4 31.3 0.0 171.9 0.0 172.8 0.0 172.8 Arizona

  20. S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    7 Table C4. Total End-Use Energy Consumption Estimates, 2013 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power f Biomass Geo- thermal Solar/PV i Retail Electricity Sales Net Energy j,k Electrical System Energy Losses l Total j,k Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste g Losses and Co- products h Alabama ........... 76.4 288.7 144.7 13.2 11.3 311.0 6.9 42.1 529.3 0.0 168.3 0.0 0.1 0.1 299.8 1,362.8 568.6 1,931.4

  1. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    0 Buildings Share of U.S. Natural Gas Consumption (Percent) Total Buildings Industry Electric Gen. Transportation Buildings Industry Transportation 1980 37% 41% 19% 3% | 48% 49% 3% 20.22 1981 36% 42% 19% 3% | 48% 49% 3% 19.74 1982 40% 39% 18% 3% | 51% 45% 3% 18.36 1983 40% 39% 17% 3% | 51% 46% 3% 17.20 1984 39% 40% 17% 3% | 50% 47% 3% 18.38 1985 39% 40% 18% 3% | 51% 46% 3% 17.70 1986 41% 40% 16% 3% | 51% 46% 3% 16.59 1987 39% 41% 17% 3% | 50% 47% 3% 17.63 1988 40% 42% 15% 3% | 50% 47% 3% 18.44

  2. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    9 Buildings Share of U.S. Electricity Consumption (Percent) Total Industry Transportation Total | (quads) 1980 34% 27% | 61% 39% 0% 100% | 7.15 1981 34% 28% | 61% 38% 0% 100% | 7.33 1982 35% 29% | 64% 36% 0% 100% | 7.12 1983 35% 29% | 64% 36% 0% 100% | 7.34 1984 34% 29% | 63% 37% 0% 100% | 7.80 1985 34% 30% | 64% 36% 0% 100% | 7.93 1986 35% 30% | 65% 35% 0% 100% | 8.08 1987 35% 30% | 65% 35% 0% 100% | 8.38 1988 35% 30% | 65% 35% 0% 100% | 8.80 1989 34% 31% | 65% 35% 0% 100% | 9.03 1990 34% 31% |

  3. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    8 2009 Annual Natural Gas Consumption per Appliance by Census Division Census Division New England Middle Atlantic East North Central West North Central South Atlantic East South Central West South Central Mountain Pacific United States Average Total Source(s): 515,657 208,173 43,648 42,723 90,171 American Gas Association, Residential Natural Gas Market Survey, Jan. 2011, Table 10-1. 61,928 23,005 5,238 5,135 10,270 44,675 20,232 3,286 3,286 29,064 33,891 24,648 3,595 3,081 5,135 58,334 26,702

  4. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    1 Buildings Share of U.S. Electricity Consumption/Sales (Percent) Buildings Delivered Total | Total Industry Transportation Total (10^15 Btu) 1980 | 60.9% 38.9% 0.2% 100% | 7.15 1981 | 61.4% 38.5% 0.1% 100% | 7.33 1982 | 64.1% 35.7% 0.2% 100% | 7.12 1983 | 63.8% 36.1% 0.2% 100% | 7.34 1984 | 63.2% 36.7% 0.2% 100% | 7.80 1985 | 63.8% 36.0% 0.2% 100% | 7.93 1986 | 64.8% 35.1% 0.2% 100% | 8.08 1987 | 64.9% 34.9% 0.2% 100% | 8.38 1988 | 65.0% 34.8% 0.2% 100% | 8.80 1989 | 64.8% 35.0% 0.2% 100% |

  5. S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    5 Table C3. Primary Energy Consumption Estimates, 2013 (Trillion Btu) State Fossil Fuels Fossil Fuels (as commingled) Coal Natural Gas excluding Supplemental Gaseous Fuels a Petroleum Total Natural Gas including Supplemental Gaseous Fuels a Motor Gasoline including Fuel Ethanol a Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline excluding Fuel Ethanol a Residual Fuel Oil Other d Total Alabama ........... 565.1 628.5 145.4 13.2 11.3 289.1 6.9 42.1 508.0 1,701.6 628.5 311.0 Alaska

  6. Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach

    SciTech Connect (OSTI)

    Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.

    2015-01-01

    This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the Eastern Interconnection (EIC) located in the United States. The climate change scenario considered (IPCC A2 scenario as downscaled from the CASCaDE data set) has changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. This investigation examines building energy demand for three annual periods representative of climate trends in the CASCaDE data set at the beginning, middle, and end of the century--2004, 2052, and 2089. Simulations were performed using the Building ENergy Demand (BEND) model which is a detailed simulation platform built around EnergyPlus. BEND was developed in collaboration with the Platform for Regional Integrated Modeling and Analysis (PRIMA), a modeling framework designed to simulate the complex interactions among climate, energy, water, and land at decision-relevant spatial scales. Over 26,000 building configurations of different types, sizes, vintages, and, characteristics which represent the population of buildings within the EIC, are modeled across the 3 EIC time zones using the future climate from 100 locations within the target region, resulting in nearly 180,000 spatially relevant simulated demand profiles for each of the 3 years. In this study, the building stock characteristics are held constant based on the 2005 building stock in order to isolate and present results that highlight the impact of the climate signal on commercial and residential energy demand. Results of this analysis compare well with other analyses at their finest level of specificity. This approach, however, provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to perform detailed hourly impact studies of building adaptation and mitigation strategies on energy use and electricity peak demand within the context of the entire grid and economy.

  7. Energy-consumption and carbon-emission analysis of vehicle and component manufacturing.

    SciTech Connect (OSTI)

    Sullivan, J. L.; Burnham, A.; Wang, M.; Energy Systems

    2010-10-12

    A model is presented for calculating the environmental burdens of the part manufacturing and vehicle assembly (VMA) stage of the vehicle life cycle. The approach is bottom-up, with a special focus on energy consumption and CO{sub 2} emissions. The model is applied to both conventional and advanced vehicles, the latter of which include aluminum-intensive, hybrid electric, plug-in hybrid electric and all-electric vehicles. An important component of the model, a weight-based distribution function of materials and associated transformation processes (casting, stamping, etc.), is developed from the United States Council for Automotive Research Generic Vehicle Life Cycle Inventory Study. As the approach is bottom-up, numerous transformation process data and plant operational data were extracted from the literature for use in representing the many operations included in the model. When the model was applied to conventional vehicles, reliable estimates of cumulative energy consumption (34 GJ/vehicle) and CO{sub 2} emission (2 tonnes/vehicle) were computed for the VMA life-cycle stage. The numerous data sets taken from the literature permitted the development of some statistics on model results. Because the model explicitly includes a greater coverage of relevant manufacturing processes than many earlier studies, our energy estimates are on the higher end of previously published values. Limitations of the model are also discussed. Because the material compositions of conventional vehicles within specific classes (cars, light duty trucks, etc.) are sensibly constant on a percent-by-weight basis, the model can be reduced to a simple linear form for each class dependent only on vehicle weight. For advanced vehicles, the material/transformation process distribution developed above needs to be adjusted for different materials and components. This is particularly so for aluminum-intensive and electric-drive vehicles. In fact, because of their comparatively high manufacturing energy, batteries required for an electric vehicle can significantly add to the energy burden of the VMA stage. Overall, for conventional vehicles, energy use and CO{sub 2} emissions from the VMA stage are about 4% of their total life-cycle values. They are expected to be somewhat higher for advanced vehicles.

  8. "Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual"

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

    Total Delivered Residential Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",10.31,10.36,10.36,10.37,10.38,10.4,10.4,10.41,10.43,10.43,10.44,10.45,10.46,10.49,10.51,10.53,10.56,10.6 "AEO 1995",,10.96,10.8,10.81,10.81,10.79,10.77,10.75,10.73,10.72,10.7,10.7,10.69,10.7,10.72,10.75,10.8,10.85 "AEO

  9. "Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual"

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

    Total Delivered Commercial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",6.82,6.87,6.94,7,7.06,7.13,7.16,7.22,7.27,7.32,7.36,7.38,7.41,7.45,7.47,7.5,7.51,7.55 "AEO 1995",,6.94,6.9,6.95,6.99,7.02,7.05,7.08,7.09,7.11,7.13,7.15,7.17,7.19,7.22,7.26,7.3,7.34 "AEO

  10. "Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual"

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

    Total Delivered Transportation Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",23.62,24.08,24.45,24.72,25.06,25.38,25.74,26.16,26.49,26.85,27.23,27.55,27.91,28.26,28.61,28.92,29.18,29.5 "AEO 1995",,23.26,24.01,24.18,24.69,25.11,25.5,25.86,26.15,26.5,26.88,27.28,27.66,27.99,28.25,28.51,28.72,28.94 "AEO

  11. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    7 The real gross domestic product (GDP) data used in the U.S. Energy Information Administration State Energy Data System (SEDS) to calculate total energy consumed per chained (2009) dollar of output are shown in Tables D1 and D2. The data are the U.S. Department of Commerce, Bureau of Economic Analysis (BEA), real GDP estimates by state, beginning in 1997. The estimates are released in June of each year. For the United States, the national real GDP series from the National In- come and Product

  12. Preliminary energy balance and economic of a farm-scale ethanol plant

    SciTech Connect (OSTI)

    Jantzen, D.; McKinnon, T.

    1980-05-01

    A small-scale ethanol plant was designed, built, tested, and modified over the past 18 months. The plant currently operating is the second design. A third, and probably final, design will be installed and operating within a few months. The current plant produces approximately 30 gal/hr of 190-proof alcohol on a continuous basis. The new plant will produce 50 gal/hr of 200-proof alcohol. A key feature is the relatively low process heat requirement, which is achieved by extensive use of waste-heat recovery heat exchangers. This is manifested in the low temperatures of the process output streams. Acting on the request of the Office of Alcohol Fuels, US Department of Energy, and at the invitation of the owners, representatives from the Solar Energy Research Institute evaluated the energy balance on the plant. The objective was to help clear up the controversy surrounding the net energy benefit of ethanol production. Although the study was site-specific to the plant and limited in scope, it is indicative of the potential performance of grain-to-ethanol plants in general.

  13. Energy use and domestic hot water consumption - Phase 1. Final report

    SciTech Connect (OSTI)

    Goldner, F.S.

    1994-11-01

    New York State Energy Research & Development Authority has sponsored a project to develop comprehensive operating data on combined domestic hot water (DHW) and heating systems to be used in system design and specifications. The new, more precise DHW flow data (broken down on a per capita basis) result in a better foundation for sizing decisions. Thirty New York City multifamily buildings with combined steam heating and DHW plants were instrumented to monitor apartment, outdoor, boiler and DHW temperatures, and burner on-off times. In nine buildings, which had been upgraded, additional data collected were: stack temperature, DHW flow in 15-minute increments, oil and boiler make-up water flows, and DHW temperature before and after the mixing valve and on the return line. The data set collected for 14 months amounts to a data base of over 110 megabytes. This report presents DHW demand patterns, seasonal variations, weekday vs. weekend consumption, consumption vs. occupancy levels, coincidence of 15-, 60-, 120-, and 180- minute demand periods, and average vs. peak demand levels, as well as figures for energy to generate DHW. The format of guidelines presented in this report differs from those currently in use. The {open_quotes}Low - Medium - High{close_quotes} (LMH) users set of guidelines provide a range, rather than a specific, singular gallonage standard. By providing LMH tables and guidelines for their application the design engineer or contractor can then use these as a tool from which to select the appropriate level that matches the site being served. Values are presented for both New York sizing guidelines (developed from this study), as well as a set of {open_quote}National{close_quote} figures (derived from a compilation of studies conducted in other cities). The LMH approach and {open_quote}National{close_quote} guidelines were adopted for inclusion in the 1995 ASHRAE Handbook revision.

  14. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    2 Buildings Share of U.S. Petroleum Consumption (Million Barrels per Day) Buildings Residential Commercial Total Industry Transportation Total 1980 2.62 2.01 l 4.63 10.55 19.01 34.19 1981 2.26 1.73 l 3.98 9.13 18.81 31.93 1982 1.96 1.49 l 3.45 8.35 18.42 30.23 1983 1.87 1.61 l 3.48 7.97 18.60 30.05 1984 1.95 1.60 l 3.55 8.48 19.02 31.05 1985 1.92 1.40 l 3.32 8.13 19.47 30.92 1986 2.03 1.60 l 3.62 8.39 20.18 32.20 1987 2.04 1.51 l 3.54 8.50 20.82 32.86 1988 2.20 1.57 l 3.77 8.88 21.57 34.22 1989

  15. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    3 U.S. Electricity Generation Input Fuel Consumption (Quadrillion Btu) Renewables Growth Rate Hydro. Oth(2) Total Nuclear Other (3) Total 2010-Year 1980 2.87 0.06 2.92 2.74 (1) 24.32 1981 2.72 0.06 2.79 3.01 (1) 24.49 1982 3.23 0.05 3.29 3.13 (1) 23.95 1983 3.49 0.07 3.56 3.20 (1) 24.60 1984 3.35 0.09 3.44 3.55 (1) 25.59 1985 2.94 0.11 3.05 4.08 (1) 26.09 1986 3.04 0.12 3.16 4.38 (1) 26.22 1987 2.60 0.13 2.73 4.75 (1) 26.94 1988 2.30 0.12 2.43 5.59 (1) 28.27 1989 2.81 0.41 3.22 5.60 (1) 29.88

  16. Reducing Idle Power Consumption in Office Spaces Saves U.S. Navy in Energy Costs (Fact Sheet), NREL (National Renewable Energy Laboratory)

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

    Reducing Idle Power Consumption in Office Spaces Saves U.S. Navy in Energy Costs As part of a two-year project to demonstrate energy efficiency measures, renewable energy generation, and energy systems integration, the National Renewable Energy Laboratory (NREL) has identified advanced plug load controls as a promising technology for reducing energy use and related costs in the U.S. Navy's Naval Facilities Engineering Command (NAVFAC) office spaces. The demonstration was one of eight

  17. TRANSPORTATION ENERGY FUTURES - Combining Strategies for Deep Reductions in Energy Consumption and GHG Emissions

    SciTech Connect (OSTI)

    Anya Breitenbach

    2013-03-15

    This fact sheet summarizes actions in the areas of light-duty vehicle, non-light-duty vehicle, fuel, and transportation demand that show promise for deep reductions in energy use.

  18. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    05 Section 6. Electricity This section describes the energy sources consumed by the electric power sector; electricity consumed by end users (i.e., electricity sold to end users); estimates of the electrical system energy losses incurred in the generation, transmission, and distribution of electricity; and estimates of net interstate sales of electricity. The electric power sector consists of electric utilities and independent power producers (electricity-only and combined-heat-and-power (CHP)

  19. U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    09 Section 6. Electricity This section describes the energy sources consumed by the electric power sector; electricity consumed by end users (i.e., electricity sold to end users); estimates of the electrical system energy losses incurred in the generation, transmission, and distribution of electricity; and estimates of net interstate sales of electricity. The electric power sector consists of electric utilities and independent power producers (electricity-only and combined-heat-and-power (CHP)

  20. S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    4 Table C2. Energy Consumption Estimates for Major Energy Sources in Physical Units, 2013 State Coal Natural Gas a Petroleum Nuclear Electric Power Hydro- electric Power f Fuel Ethanol g Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Million Short Tons Billion Cubic Feet Million Barrels Billion Kilowatthours Million Barrels Alabama ............. 27.2 618.0 25.2 2.3 3.0 61.4 1.1 6.7 99.8 40.8 12.9 6.3 Alaska ................. 1.0 332.6 12.7 18.9 0.3 6.5 0.1

  1. Transportation Energy Futures- Combining Strategies for Deep Reductions in Energy Consumption and GHG Emissions

    Broader source: Energy.gov [DOE]

    Transportation currently accounts for 71% of total U.S. petroleum use and 33% of the nation's total carbon emissions. The TEF project explores how combining multiple strategies could reduce GHG emissions and petroleum use by 80%. Researchers examined four key areas – lightduty vehicles, non-light-duty vehicles, fuels, and transportation demand – in the context of the marketplace, consumer behavior, industry capabilities, technology and the energy and transportation infrastructure. The TEF reports support DOE long-term planning. The reports provide analysis to inform decisions about transportation energy research investments, as well as the role of advanced transportation energy technologies and systems in the development of new physical, strategic, and policy alternatives.

  2. Buildings Energy Data Book: 4.1 Federal Buildings Energy Consumption

    Buildings Energy Data Book [EERE]

    4 Federal Agency Progress Toward the Renewable Energy Goal (Trillion Btu) (1) Total Renewable Energy Usage DOD EPA (2) DOE GSA NASA DOI Others All Agencies Note(s): Source(s): Total Facility RE as % of Electricity Use Electricity Use 5.6 101.2 6% 0.7 0.4 154% 0.7 16.7 4% 0.8 10.0 8% 0.2 5.5 4% 0.4 2.1 18% 1.1 56.5 2% 9.5 192.8 5% 1) In July 2000, in accordance with Section 503 of Executive Order 13123, the Secretary of Energy approved a goal that the equivalent of 2.5 percent of electricity

  3. Fact #674: May 9, 2011 Petroleum Trade Balance | Department of Energy

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

    4: May 9, 2011 Petroleum Trade Balance Fact #674: May 9, 2011 Petroleum Trade Balance The trade balance (exports minus imports) for petroleum has been negative for more than a quarter of a century, meaning that the U.S. imports more petroleum than it exports. The largest petroleum trade deficit was in 2008, when the U.S. imported $449.8 billion and exported only $61.6 billion. Petroleum Trade Balance, 1970-2010 Graph showing the petroleum trade balance from 1970 to 2010. The largest trade

  4. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    3 2003 Commercial Buildings Delivered Energy End-Use Intensities, by Building Activity (Thousand Btu per SF) (1) Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Total Note(s): Source(s): 43.5 45.2

  5. U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    1 Data presented in the State Energy Data System (SEDS) are expressed predominately in units that historically have been used in the United States, such as British thermal units, barrels, cubic feet, and short tons. However, because U.S. commerce involves other nations, most of which use metric units of measure, the U.S. Government is committed to the transition to the metric system, as stated in the Metric Conversion Act of 1975 (Public Law 94-168), amended by the Omnibus Trade and

  6. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    7 Range 10 4 48 Clothes Dryer 359 (2) 4 49 Water Heating Water Heater-Family of 4 40 64 (3) 26 294 Water Heater-Family of 2 40 32 (3) 12 140 Note(s): Source(s): 1) $1.139/therm. 2) Cycles/year. 3) Gallons/day. A.D. Little, EIA-Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case, Sept. 2, 1998, p. 30 for range and clothes dryer; LBNL, Energy Data Sourcebook for the U.S. Residential Sector, LBNL-40297, Sept. 1997, p. 62-67 for water heating; GAMA,

  7. R A N K I N G S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    6 Table C11. Energy Consumption Estimates by Source, Ranked by State, 2013 Rank Coal Natural Gas a Petroleum b Retail Electricity Sales State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,597.4 Texas 4,137.4 Texas 6,259.5 Texas 1,292.5 2 Indiana 1,198.6 California 2,483.5 California 3,370.7 California 892.3 3 Pennsylvania 1,126.1 Louisiana 1,501.1 Louisiana 1,714.7 Florida 757.2 4 Ohio 1,104.5 New York 1,321.6 Florida 1,592.7 Ohio 512.8 5 Illinois 1,026.9

  8. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    5 Load (quads) and Percent of Total Load Component Heating Cooling Roof -0.65 12% 0.16 14% Walls -1.00 19% 0.11 10% Foundation -0.76 15% -0.07 - Infiltration -1.47 28% 0.19 16% Windows (conduction) -1.34 26% 0.01 1% Windows (solar gain) 0.43 - 0.37 32% Internal Gains 0.79 - 0.31 27% Net Load -3.99 100% 1.08 100% Note(s): Source(s): Aggregate Residential Building Component Loads as of 1998 (1) 1) "Load" represents the thermal energy losses/gains that when combined will be offset by a

  9. An Analysis Framework for Investigating the Trade-offs Between System Performance and Energy Consumption in a Heterogeneous Computing Environment

    SciTech Connect (OSTI)

    Friese, Ryan; Khemka, Bhavesh; Maciejewski, Anthony A; Siegel, Howard Jay; Koenig, Gregory A; Powers, Sarah S; Hilton, Marcia M; Rambharos, Rajendra; Okonski, Gene D; Poole, Stephen W

    2013-01-01

    Rising costs of energy consumption and an ongoing effort for increases in computing performance are leading to a significant need for energy-efficient computing. Before systems such as supercomputers, servers, and datacenters can begin operating in an energy-efficient manner, the energy consumption and performance characteristics of the system must be analyzed. In this paper, we provide an analysis framework that will allow a system administrator to investigate the tradeoffs between system energy consumption and utility earned by a system (as a measure of system performance). We model these trade-offs as a bi-objective resource allocation problem. We use a popular multi-objective genetic algorithm to construct Pareto fronts to illustrate how different resource allocations can cause a system to consume significantly different amounts of energy and earn different amounts of utility. We demonstrate our analysis framework using real data collected from online benchmarks, and further provide a method to create larger data sets that exhibit similar heterogeneity characteristics to real data sets. This analysis framework can provide system administrators with insight to make intelligent scheduling decisions based on the energy and utility needs of their systems.

  10. Comparison of energy consumption between displacement and mixing ventilation systems for different U.S. buildings and climates

    SciTech Connect (OSTI)

    Hu, S.; Chen, Q.; Glicksman, L.R.

    1999-07-01

    A detailed computer simulation method was used to compare the energy consumption of a displacement ventilation system with that of a mixing ventilation system for three types of US buildings: a small office, a classroom, and an industrial workshop. The study examined five typical climatic regions as well as different building zones. It was found that a displacement ventilation system may use more fan energy and less chiller and boiler energy than a mixing ventilation system. The total energy consumption is slightly less using a displacement ventilation system. Both systems can use a similarly sized boiler. However, a displacement ventilation system requires a larger air-handling unit and a smaller chiller than the mixing ventilation system. The overall first costs are lower for the displacement ventilation if the system is applied for the core region of a building.

  11. Balancing Cost and Risk: The Treatment of Renewable Energy inWestern Utility Resource Plans

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark

    2005-09-01

    Markets for renewable electricity have grown significantly in recent years, motivated in part by federal tax incentives and in part by state renewables portfolio standards and renewable energy funds. State renewables portfolio standards, for example, motivated approximately 45% of the 4,300 MW of wind power installed in the U.S. from 2001 through 2004, while renewable energy funds supported an additional 15% of these installations. Despite the importance of these state policies, a less widely recognized driver for renewable energy market growth is poised to also play an important role in the coming years: utility integrated resource planning (IRP). Formal resource planning processes have re-emerged in recent years as an important tool for utilities and regulators, particularly in regions where retail competition has failed to take root. In the western United States, recent resource plans contemplate a significant amount of renewable energy additions. These planned additions - primarily coming from wind power - are motivated by the improved economics of wind power, a growing acceptance of wind by electric utilities, and an increasing recognition of the inherent risks (e.g., natural gas price risk, environmental compliance risk) in fossil-based generation portfolios. The treatment of renewable energy in utility resource plans is not uniform, however. Assumptions about the direct and indirect costs of renewable resources, as well as resource availability, differ, as do approaches to incorporating such resources into the candidate portfolios that are analyzed in utility IRPs. The treatment of natural gas price risk, as well as the risk of future environmental regulations, also varies substantially. How utilities balance expected portfolio cost versus risk in selecting a preferred portfolio also differs. Each of these variables may have a substantial effect on the degree to which renewable energy contributes to the preferred portfolio of each utility IRP. This article, which is based on a longer report from Berkeley Lab, examines how twelve western utilities - Avista, Idaho Power, NorthWestern Energy (NorthWestern or NWE), Portland General Electric (PGE), Puget Sound Energy (PSE), PacifiCorp, Public Service Company of Colorado (PSCo), Nevada Power, Sierra Pacific, Pacific Gas & Electric (PG&E), Southern California Edison (SCE), and San Diego Gas & Electric (SDG&E) - treat renewable energy in their recent resource plans. In aggregate, these utilities supply approximately half of all electricity demand in the western United States. In reviewing these plans, our purpose is twofold: (1) to highlight the growing importance of utility IRP as a current and future driver of renewable energy, and (2) to suggest possible improvements to methods used to evaluate renewable energy as a resource option. This article begins with a discussion of the planned renewable energy additions called for by the twelve utilities in our sample, followed by an overview of how these plans incorporated renewables into candidate portfolios, and a review of the specific technology cost and performance assumptions they made, primarily for wind power. We then turn to the utilities analysis of natural gas price and environmental compliance risks, and examine how the utilities traded off portfolio cost and risk in selecting a preferred portfolio.

  12. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    4 2010 Commercial Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Lighting 1.19 1.19 13.6% | 3.69 3.69 20.2% Space Heating 1.65 0.22 0.06 0.11 0.28 2.33 26.6% | 0.88 2.93 16.0% Space Cooling 0.04 0.84 0.88 10.1% | 2.60 2.64 14.5% Ventilation 0.54 0.54 6.1% | 1.66 1.66 9.1% Refrigeration 0.39 0.39 4.5% | 1.21 1.21 6.6% Water Heating 0.44 0.03 0.03 0.09 0.58

  13. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    4 2010 U.S. Buildings Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Fuel Other Renw. Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Space Heating (5) 5.14 0.76 0.30 0.10 0.54 0.72 7.56 37.0% | 2.24 9.07 22.5% Space Cooling 0.04 1.92 1.96 9.6% | 5.94 5.98 14.8% Lighting 1.88 1.88 9.2% | 5.82 5.82 14.4% Water Heating 1.73 0.13 0.07 0.04 0.54 2.51 12.3% | 1.67 3.63 9.0% Refrigeration (6) 0.84 0.84 4.1% | 2.62 2.62 6.5% Electronics (7)

  14. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    5 2015 U.S. Buildings Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Space Heating (5) 5.10 0.68 0.26 0.09 0.55 0.59 7.27 35.9% | 1.77 8.45 21.5% Lighting 1.52 1.52 7.5% | 4.65 4.65 11.8% Space Cooling 0.04 0.54 0.57 2.8% | 4.60 4.63 11.8% Water Heating 1.79 0.10 0.05 0.05 0.57 2.55 12.6% | 1.71 3.70 9.4% Refrigeration (6) 0.81 0.81 4.0% | 2.43 2.43 6.2%

  15. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    6 2025 U.S. Buildings Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Space Heating (5) 4.96 0.57 0.24 0.09 0.57 0.63 7.05 33.2% | 1.89 8.31 19.6% Space Cooling 0.03 1.64 1.67 7.9% | 4.94 4.97 11.7% Lighting 1.55 1.55 7.3% | 4.68 4.68 11.0% Water Heating 1.84 0.08 0.04 0.05 0.62 2.63 12.4% | 1.86 3.88 9.1% Refrigeration (6) 0.82 0.82 3.9% | 2.47 2.47 5.8%

  16. Buildings Energy Data Book: 1.1 Buildings Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    7 2035 U.S. Buildings Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Space Heating (5) 4.84 0.49 0.22 0.09 0.57 0.66 6.87 30.5% | 1.93 8.15 17.9% Space Cooling 0.03 1.79 1.82 8.1% | 5.27 5.30 11.7% Lighting 1.63 1.63 7.3% | 4.81 4.81 10.6% Water Heating 1.81 0.07 0.03 0.06 0.63 2.60 11.6% | 1.86 3.83 8.4% Electronics (6) 0.90 0.90 4.0% | 2.66 2.66 5.8%

  17. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    5 2015 Commercial Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Lighting 1.01 1.01 11.4% | 3.05 3.05 16.7% Space Heating 1.69 0.20 0.06 0.11 0.17 2.23 25.2% | 0.50 2.57 14.1% Space Cooling 0.04 0.51 0.54 6.1% | 1.52 1.56 8.6% Ventilation 0.54 0.54 6.1% | 1.62 1.62 8.9% Refrigeration 0.35 0.35 4.0% | 1.06 1.06 5.8% Electronics 0.32 0.32 3.6% | 0.95 0.95 5.2%

  18. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    6 2025 Commercial Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Lighting 1.08 1.08 11.3% | 3.27 3.27 16.3% Space Heating 1.68 0.18 0.06 0.11 0.16 2.20 23.1% | 0.49 2.53 12.6% Ventilation 0.60 0.60 6.2% | 1.80 1.80 9.0% Space Cooling 0.03 0.52 0.55 5.7% | 1.56 1.59 7.9% Electronics 0.40 0.40 4.2% | 1.22 1.22 6.1% Refrigeration 0.34 0.34 3.6% | 1.02 1.02 5.1%

  19. Buildings Energy Data Book: 3.1 Commercial Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    7 2035 Commercial Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Natural Fuel Other Renw. Site Site Primary Primary Gas Oil (1) LPG Fuel(2) En.(3) Electric Total Percent Electric (4) Total Percent Lighting 1.15 1.15 11.1% | 3.40 3.40 15.6% Space Heating 1.65 0.18 0.06 0.11 0.16 2.16 20.8% | 0.48 2.48 11.3% Ventilation 0.65 0.65 6.2% | 1.91 1.91 8.7% Space Cooling 0.03 0.54 0.57 5.5% | 1.59 1.62 7.4% Electronics 0.46 0.46 4.5% | 1.37 1.37 6.3% Refrigeration 0.36 0.36 3.4% | 1.05 1.05 4.8%

  20. The potential for reducing urban air temperatures and energy consumption through vegetative cooling

    SciTech Connect (OSTI)

    Kurn, D.M.; Bretz, S.E.; Huang, B.; Akbari, H.

    1994-05-01

    A network of 23 weather stations was used to detect existing oases in Southern California. Four stations, separated from one another by 15--25 miles (24--40 km), were closely examined. Data were strongly affected by the distance of the stations from the Pacific Ocean. This and other city-scale effects made the network inadequate for detection of urban oases. We also conducted traverse measurements of temperature and humidity in the Whittier Narrows Recreation Area in Los Angeles County on September 8--10, 1993. Near-surface air temperatures over vegetated areas were 1--2{degrees}C lower than background air temperatures. We estimate that vegetation may lower urban temperatures by 1{degrees}C, while the establishment of vegetative canopies may lower local temperatures by an additional 2{degrees}C. An increase in vegetation in residential neighborhoods may reduce peak loads in the Los Angeles area by 0.3 GW, and reduce energy consumption by 0.2 BkWh/year, saving $20 million annually. Large additional savings would result from regional cooling.

  1. Design of Refractory Linings for Balanced Energy Efficiency, Uptime, and Capacity in Lime Kilns

    SciTech Connect (OSTI)

    Gorog, John Peter; Hemrick, James Gordon; Walker, Harold; Leary, William R; Ellis, Murray

    2014-01-01

    The rotary kilns used by the pulp and paper industry to regenerate lime in the Kraft process are very energy intensive. Throughout the 90 s, in response to increasing fuel prices, the industry used back up insulation in conjunction with the high alumina brick used to line the burning zones of their kilns. While this improved energy efficiency, the practice of installing insulating brick behind the working lining increased the inner wall temperatures. In the worst case, due to the increased temperatures, rapid brick failures occurred causing unscheduled outages and expensive repairs. Despite these issues, for the most part, the industry continued to use insulating refractory linings in that the energy savings were large enough to offset any increase in the cost of maintaining the refractory lining. Due to the dramatic decline in the price of natural gas in some areas combined with mounting pressures to increasing production of existing assets, over the last decade, many mills are focusing more on increasing the uptime of their kilns as opposed to energy savings. To this end, a growing number of mills are using basic (magnesia based) brick instead of high alumina brick to line the burning zone of the kiln since the lime mud does not react with these bricks at the operating temperatures of the burning zone of the kiln. In the extreme case, a few mills have chosen to install basic brick in the front end of the kiln running a length equivalent to 10 diameters. While the use of basic brick can increase the uptime of the kiln and reduce the cost to maintain the refractory lining, it does dramatically increase the heat losses resulting from the increased operating temperatures of the shell. Also, over long periods of time operating at these high temperatures, damage can occur in the shell. There are tradeoffs between energy efficiency, capacity and uptime. When fuel prices are very high, it makes sense to insulate the lining. When fuel prices are lower, trading some thermal efficiency for increased uptime and capacity seems reasonable. This paper considers a number of refractory linings in an effort to develop optimized operating strategies that balance these factors. In addition to considering a range of refractory materials, the paper examines other factors such as the chain area, discharge dams and other operating variables that impact the service life of the refractory lining. The paper provides recommendations that will help mill personnel develop a strategy to select a refractory lining that is optimized for their specific situation.

  2. Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2009 Balance Sheet Audit, OAS-FS-12-08

    Office of Environmental Management (EM)

    Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2009 Balance Sheet OAS-FS-12-08 March 2012 ISOTOPE DEVELOPMENT AND PRODUCTION FOR RESEARCH AND APPLICATIONS PROGRAM Fiscal Year 2009 Annual Report and Balance Sheet September 30, 2009 i UNITED STATES DEPARTMENT OF ENERGY ISOTOPE DEVELOPMENT AND PRODUCTION FOR RESEARCH AND APPLICATIONS PROGRAM Fiscal Year 2009 Annual Report and Balance Sheet Table of Contents Page Management's Discussion

  3. Global energy and water balance: Characteristics from finite-volume atmospheric model of the IAP/LASG (FAMIL1)

    SciTech Connect (OSTI)

    Zhou, Linjiong; Bao, Qing; Liu, Yimin; Wu, Guoxiong; Wang, Wei-Chyung; Wang, Xiaocong; He, Bian; Yu, Haiyang; Li, Jiandong

    2015-03-01

    This paper documents version 1 of the Finite-volume Atmospheric Model of the IAP/LASG (FAMIL1), which has a flexible horizontal resolution up to a quarter of 1. The model, currently running on the Tianhe 1A supercomputer, is the atmospheric component of the third-generation Flexible Global Ocean-Atmosphere-Land climate System model (FGOALS3) which will participate in the Coupled Model Intercomparison Project Phase 6 (CMIP6). In addition to describing the dynamical core and physical parameterizations of FAMIL1, this paper describes the simulated characteristics of energy and water balances and compares them with observational/reanalysis data. The comparisons indicate that the model simulates well the seasonal and geographical distributions of radiative fluxes at the top of the atmosphere and at the surface, as well as the surface latent and sensible heat fluxes. A major weakness in the energy balance is identified in the regions where extensive and persistent marine stratocumulus is present. Analysis of the global water balance also indicates realistic seasonal and geographical distributions with the global annual mean of evaporation minus precipitation being approximately 10?? mm d?. We also examine the connections between the global energy and water balance and discuss the possible link between the two within the context of the findings from the reanalysis data. Finally, the model biases as well as possible solutions are discussed.

  4. Global energy and water balance: Characteristics from finite-volume atmospheric model of the IAP/LASG (FAMIL1)

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zhou, Linjiong; Bao, Qing; Liu, Yimin; Wu, Guoxiong; Wang, Wei-Chyung; Wang, Xiaocong; He, Bian; Yu, Haiyang; Li, Jiandong

    2015-03-01

    This paper documents version 1 of the Finite-volume Atmospheric Model of the IAP/LASG (FAMIL1), which has a flexible horizontal resolution up to a quarter of 1°. The model, currently running on the ‘‘Tianhe 1A’’ supercomputer, is the atmospheric component of the third-generation Flexible Global Ocean-Atmosphere-Land climate System model (FGOALS3) which will participate in the Coupled Model Intercomparison Project Phase 6 (CMIP6). In addition to describing the dynamical core and physical parameterizations of FAMIL1, this paper describes the simulated characteristics of energy and water balances and compares them with observational/reanalysis data. The comparisons indicate that the model simulates well the seasonalmore » and geographical distributions of radiative fluxes at the top of the atmosphere and at the surface, as well as the surface latent and sensible heat fluxes. A major weakness in the energy balance is identified in the regions where extensive and persistent marine stratocumulus is present. Analysis of the global water balance also indicates realistic seasonal and geographical distributions with the global annual mean of evaporation minus precipitation being approximately 10⁻⁵ mm d⁻¹. We also examine the connections between the global energy and water balance and discuss the possible link between the two within the context of the findings from the reanalysis data. Finally, the model biases as well as possible solutions are discussed.« less

  5. ,"Total Natural Gas Consumption

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

    Gas Consumption (billion cubic feet)",,,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  6. Terra nitrogen Company, L.P.: Ammonia Plant Greatly Reduces Natural Gas Consumption After Energy Assessment. Industrial Technologies Program (ITP) Save Energy Now Case Study.

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

    Terra Nitrogen plant in Verdigris, Oklahoma. Terra Nitrogen Company, L.P.: Ammonia Plant Greatly Reduces Natural Gas Consumption After Energy Assessment Industrial Technologies Program Case Study Benefits * Saves approximately $3.5 million annually * Achieves annual natural gas savings of 497,000 MMBtu * Achieves a simple payback of 11 months Key Findings * Accurately quantifying potential energy savings can provide renewed impetus to reduce energy use. * Although Terra Nitrogen actively managed

  7. Numerical power balance and free energy loss analysis for solar cells including optical, thermodynamic, and electrical aspects

    SciTech Connect (OSTI)

    Greulich, Johannes Höffler, Hannes; Würfel, Uli; Rein, Stefan

    2013-11-28

    A method for analyzing the power losses of solar cells is presented, supplying a complete balance of the incident power, the optical, thermodynamic, and electrical power losses and the electrical output power. The involved quantities have the dimension of a power density (units: W/m{sup 2}), which permits their direct comparison. In order to avoid the over-representation of losses arising from the ultraviolet part of the solar spectrum, a method for the analysis of the electrical free energy losses is extended to include optical losses. This extended analysis does not focus on the incident solar power of, e.g., 1000 W/m{sup 2} and does not explicitly include the thermalization losses and losses due to the generation of entropy. Instead, the usable power, i.e., the free energy or electro-chemical potential of the electron-hole pairs is set as reference value, thereby, overcoming the ambiguities of the power balance. Both methods, the power balance and the free energy loss analysis, are carried out exemplarily for a monocrystalline p-type silicon metal wrap through solar cell with passivated emitter and rear (MWT-PERC) based on optical and electrical measurements and numerical modeling. The methods give interesting insights in photovoltaic (PV) energy conversion, provide quantitative analyses of all loss mechanisms, and supply the basis for the systematic technological improvement of the device.

  8. ETA-HTP03 - Implementation of SAE J1634 May93 - Electric Vehicle Energy Consumption and Range Test Procedure

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

    3 Revision 0 Effective May 1, 2004 Implementation of SAE J1634 May93 - "Electric Vehicle Energy Consumption and Range Test Procedure" Prepared by Electric Transportation Applications Prepared by: _______________________________ Date: ________ Roberta Brayer Approved by: _________________________________________________ Date: ____________ Donald Karner ETA-HTP03 Revision 0 2004 Electric Transportation Application All rights Reserved i TABLE OF CONTENTS 1. Objectives 1 2. Purpose 1 3.

  9. ETA-UTP003 - Implementation of SAE J1634 May93 - Electric Vehicle Energy Consumption and Range Test Procedure

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

    3 Revision 0 Effective March 23, 2001 Implementation of SAE J1634 May93 - "Electric Vehicle Energy Consumption and Range Test Procedure" Prepared by Electric Transportation Applications Prepared by: _______________________________ Date: ________ Steven R. Ryan Approved by: _________________________________________________ Date: ____________ Jude M. Clark ETA-UTP003 Revision 0 ©2001 Electric Transportation Applications All Rights Reserved 2 TABLE OF CONTENTS 1.0 Objectives 3 2.0

  10. Regional overview of Latin American and Caribbean energy production, consumption, and future growth. Report series No. 1

    SciTech Connect (OSTI)

    Wu, K.

    1994-07-01

    The Latin American and Caribbean region - comprising Mexico, Central and South America, and the Caribbean - is relatively well endowed with energy resources, although the distribution of these resources is uneven across countries. The region produces more energy than it consumes, and the surplus energy, which amounts to 3.6 million barrels of oil equivalent per day (boe/d), is mostly oil. While the region`s total oil (crude and products) exports decreased from 4.4 million barrels per day (b/d) in 1981 to 3.8 million b/d in 1992, its net oil exports increased from about 1.6 million b/d in 1981 to 2.8 million b/d in 1992. In 1993, the surplus oil in Latin America and the Caribbean remained at 2.8 million b/d. This report analyzes the key issues of the Latin American and Caribbean energy industry and presents the future outlook for oil, gas, coal, hydroelectricity, and nuclear power developments in the region. In addition, the status of biomass energy, geothermal, and other noncommercial energy in the region will be briefly discussed in the context of overall energy development. The rest of the report is organized as follows: Section II assesses the current situation of Latin American and Caribbean energy production and consumption, covering primary energy supply, primary energy consumption, downstream petroleum sector development, and natural gas utilization. Section III presents the results of our study of future energy growth in Latin America. Important hydrocarbons policy issues in the region are discussed in Section IV, and a summary and concluding remarks are provided in Section V.

  11. FINAL REPORT: Reduction in Energy Consumption and Variability in Steel Foundry Operations

    SciTech Connect (OSTI)

    F. Peters

    2005-05-24

    This project worked to improve the efficiency of the steel casting industry by reducing the variability that occurs because of process and product variation. The project focused on the post shakeout operations since roughly half of the production costs are in this area. These improvements will reduce the amount of variability, making it easier to manage the operation and improve the competitiveness. The reduction in variability will also reduce the need for many rework operations, which will result in a direct reduction of energy usage, particularly by the reduction of repeated heat treatment operations. Further energy savings will be realized from the reduction of scrap and reduced handling. Field studies were conducted at ten steel foundries that represented the U.S. steel casting industry, for a total of over 100 weeks of production observation. These studies quantified the amount of variability, and looked toward determining the source. A focus of the data collected was the grinding operations since this is a major effort in the cleaning room, and it represents the overall casting quality. The grinding was divided into two categories, expected and unexpected. Expected grinding is that in which the location of the effort is known prior to making the casting, such as smoothing parting lines, gates, and riser contacts. Unexpected grinding, which was approximately 80% of the effort, was done to improve the surfaces at weld repair locations, to rectify burnt on sand, and other surface anomalies at random locations. Unexpected grinding represents about 80% of the grinding effort. By quantifying this effort, the project raised awareness within the industry and the industry is continuing to make improvements. The field studies showed that the amount of variation of grinding operations (normalized because of the diverse set of parts studied) was very consistent across the industry. The field studies identified several specific sources that individually contributed to large process variation. This indicates the need for ongoing monitoring of the process and system to quantify the effort being expended. A system to measure the grinding effort was investigated but did not prove to be successful. A weld wire counting system was shown to be very successful in tracking casting quality by monitoring the quantity of weld wire being expended on a per casting basis. Further use of such systems is highly recommended. The field studies showed that the visual inspection process for the casting surface was a potentially large source of process variation. Measurement system analysis studies were conducted at three steel casting producers. The tests measured the consistency of the inspectors in identifying the same surface anomalies. The repeatability (variation of the same operator inspecting the same casting) was found to be relatively consistent across the companies at about 60-70%. However, this is still are very large amount of variation. Reproducibility (variation of different operators inspecting the same casting) was worse, ranging between 20 to 80% at the three locations. This large amount of variation shows that there is a great opportunity for improvement. Falsely identifying anomalies for reworking will cause increased expense and energy consumption. This is particularly true if a weld repair and repeated heat treatment is required. However, not identifying an anomaly could also result in future rework processing, a customer return, or scrap. To help alleviate this problem, casting surface comparator plates were developed and distributed to the industry. These plates are very inexpensive which enables them to be provided to all those involved with casting surface quality, such as operators, inspectors, sales, and management.

  12. Table 2.9 Commercial Buildings Consumption by Energy Source, Selected Years, 1979-2003 (Trillion Btu)

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

    9 Commercial Buildings Consumption by Energy Source, Selected Years, 1979-2003 (Trillion Btu) Energy Source and Year Square Footage Category Principal Building Activity Census Region 1 All Buildings 1,001 to 10,000 10,001 to 100,000 Over 100,000 Education Food Sales Food Service Health Care Lodging Mercantile and Service Office All Other Northeast Midwest South West Major Sources 2 1979 1,255 2,202 1,508 511 [3] 336 469 278 894 861 1,616 1,217 1,826 1,395 526 4,965 1983 1,242 1,935 1,646 480 [3]

  13. Building America Case Study: Balancing Hydronic Systems in Multifamily Buildings, Chicago, Illinois (Fact Sheet), Technology Solutions for New and Existing Homes, Energy Efficiency & Renewable Energy (EERE)

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

    Balancing Hydronic Systems in Multifamily Buildings Chicago, Illinois PROJECT INFORMATION Location: Chicago, IL area Partners: Elevate Energy elevateenergy.org/ Partnership for Advanced Residential Retrofit gastechnology.org/PARR Building Component: HVAC Application: Multifamily Year Tested: 2014 Applicable Climate Zones: 1, 2, 3 PERFORMANCE DATA Retrofit: Booster pump to increase flow in an underheated zone Cost of energy efficiency measure (including labor): $6,330 Temperature spread decrease:

  14. RECOVERY ACT: DYNAMIC ENERGY CONSUMPTION MANAGEMENT OF ROUTING TELECOM AND DATA CENTERS THROUGH REAL-TIME OPTIMAL CONTROL (RTOC): Final Scientific/Technical Report

    SciTech Connect (OSTI)

    Ron Moon

    2011-06-30

    This final scientific report documents the Industrial Technology Program (ITP) Stage 2 Concept Development effort on Data Center Energy Reduction and Management Through Real-Time Optimal Control (RTOC). Society is becoming increasingly dependent on information technology systems, driving exponential growth in demand for data center processing and an insatiable appetite for energy. David Raths noted, 'A 50,000-square-foot data center uses approximately 4 megawatts of power, or the equivalent of 57 barrels of oil a day1.' The problem has become so severe that in some cases, users are giving up raw performance for a better balance between performance and energy efficiency. Historically, power systems for data centers were crudely sized to meet maximum demand. Since many servers operate at 60%-90% of maximum power while only utilizing an average of 5% to 15% of their capability, there are huge inefficiencies in the consumption and delivery of power in these data centers. The goal of the 'Recovery Act: Decreasing Data Center Energy Use through Network and Infrastructure Control' is to develop a state of the art approach for autonomously and intelligently reducing and managing data center power through real-time optimal control. Advances in microelectronics and software are enabling the opportunity to realize significant data center power savings through the implementation of autonomous power management control algorithms. The first step to realizing these savings was addressed in this study through the successful creation of a flexible and scalable mathematical model (equation) for data center behavior and the formulation of an acceptable low technical risk market introduction strategy leveraging commercial hardware and software familiar to the data center market. Follow-on Stage 3 Concept Development efforts include predictive modeling and simulation of algorithm performance, prototype demonstrations with representative data center equipment to verify requisite performance and continued commercial partnering agreement formation to ensure uninterrupted development, and deployment of the real-time optimal control algorithm. As a software implementable technique for reducing power consumption, the RTOC has two very desirable traits supporting rapid prototyping and ultimately widespread dissemination. First, very little capital is required for implementation. No major infrastructure modifications are required and there is no need to purchase expensive capital equipment. Second, the RTOC can be rolled out incrementally. Therefore, the effectiveness can be proven without a large scale initial roll out. Through the use of the Impact Projections Model provided by the DOE, monetary savings in excess of $100M in 2020 and billions by 2040 are predicted. In terms of energy savings, the model predicts a primary energy displacement of 260 trillion BTUs (33 trillion kWh), or a 50% reduction in server power consumption. The model also predicts a corresponding reduction of pollutants such as SO2 and NOx in excess of 100,000 metric tonnes assuming the RTOC is fully deployed. While additional development and prototyping is required to validate these predictions, the relative low cost and ease of implementation compared to large capital projects makes it an ideal candidate for further investigation.

  15. Table 2.3 Manufacturing Energy Consumption for Heat, Power, and Electricity Generation by End Use, 2006

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

    Manufacturing Energy Consumption for Heat, Power, and Electricity Generation by End Use, 2006 End-Use Category Net Electricity 1 Residual Fuel Oil Distillate Fuel Oil LPG 2 and NGL 3 Natural Gas Coal 4 Total 5 Million Kilowatthours Million Barrels Billion Cubic Feet Million Short Tons Indirect End Use (Boiler Fuel) 12,109 21 4 2 2,059 25 – – Conventional Boiler Use 12,109 11 3 2 1,245 6 – – CHP 6 and/or Cogeneration Process – – 10 1 (s) 814 19 – – Direct End Use All Process Uses 657,810

  16. Management Letter on the Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2009 Balance Sheet Audit, OAS-FS-12-09

    Office of Environmental Management (EM)

    09 Balance Sheet Audit OAS-FS-12-09 June 2012 January 30, 2012 Mr. Gregory Friedman, Inspector General Dr. Jehanne Gillo, Director, Facilities and Project Management Division, Office of Nuclear Physics U.S. Department of Energy Washington, DC 20585 Dear Mr. Friedman and Dr. Gillo: We have audited the balance sheet of the United States Department of Energy's (Department or DOE) Isotope Development and Production for Research and Applications Program (the Program) (a component of the Department)

  17. U.S. Energy Information Administration (EIA) - Ap

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

    Consumption & Efficiency Glossary FAQS Overview Data Residential Energy Consumption Survey data Commercial Energy Consumption Survey data Manufacturing Energy Consumption...

  18. NV Energy Solar Integration Study: Cycling and Movements of Conventional Generators for Balancing Services

    SciTech Connect (OSTI)

    Diao, Ruisheng; Lu, Shuai; Etingov, Pavel V.; Ma, Jian; Makarov, Yuri V.; Guo, Xinxin

    2011-07-01

    With an increasing penetration level of solar power in the southern Nevada system, the impact of solar on system operations needs to be carefully studied from various perspectives. Qualitatively, it is expected that the balancing requirements to compensate for solar power variability will be larger in magnitude; meanwhile, generators providing load following and regulation services will be moved up or down more frequently. One of the most important tasks is to quantitatively evaluate the cycling and movements of conventional generators with solar power at different penetration levels. This study is focused on developing effective methodologies for this goal and providing a basis for evaluating the wear and tear of the conventional generators

  19. Drivers of U.S. Household Energy Consumption, 1980-2009

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

    1980-2009 February 2015 Independent Statistics & ... DC 20585 U.S. Energy Information Administration | Drivers ... 9 Total electricity ......

  20. Full Consumption Report.indd

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

    214(2013) July 2015 State Energy Consumption Estimates 1960 Through 2013 2013 Consumption Summary Tables S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2013: Consumption 3 Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2013 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity f Net Electricity Imports g Residential Commercial

  1. Residential energy consumption across different population groups: Comparative analysis for Latino and non-Latino households in U.S.A.

    SciTech Connect (OSTI)

    Poyer, D.A.; Teotia, A.P.S.; Henderson, L.

    1998-05-01

    Residential energy cost, an important part of the household budget, varies significantly across different population groups. In the United States, researchers have conducted many studies of household fuel consumption by fuel type -- electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG) -- and by geographic areas. The results of past research have also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, research shows that residential energy demand by fuel type for Latinos, the fastest-growing population group in the United States, has not been explained by economic and noneconomic factors in any available statistical model. This paper presents a discussion of energy demand and expenditure patterns for Latino and non-Latino households in the United States. The statistical model developed to explain fuel consumption and expenditures for Latino households is based on Stone and Geary`s linear expenditure system model. For comparison, the authors also developed models for energy consumption in non-Latino, black, and nonblack households. These models estimate consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. The study revealed significant variations in the patterns of fuel consumption for Latinos and non-Latinos. The model methodology and results of this research should be useful to energy policymakers in government and industry, researchers, and academicians who are concerned with economic and energy issues related to various population groups.

  2. Upgrades to SNL-EFDC: A Tool to Balance Marine Hydrokinetic Energy...

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

    Applications National Solar Thermal Test Facility ... Hydrogen Production Market Transformation Fuel Cells Predictive Simulation of Engines Transportation Energy Consortiums ...

  3. Buildings Energy Data Book: 8.2 Residential Sector Water Consumption

    Buildings Energy Data Book [EERE]

    2 1999 Single-Family Home Daily Water Consumption by End Use (Gallons per Capita) (1) Fixture/End Use Toilet 18.5 18.3% Clothes Washer 15 14.9% Shower 11.6 11.5% Faucet 10.9 10.8% Other Domestic 1.6 1.6% Bath 1.2 1.2% Dishwasher 1 1.0% Leaks 9.5 9.4% Outdoor Use (2) 31.7 31.4% Total (2) 101 100% Note(s): Source(s): Average gallons Total Use per capita per day Percent 1) Based analysis of 1,188 single-family homes at 12 study locations. 2) Total Water use derived from USGS. Outdoor use is the

  4. Comparison of Real World Energy Consumption to Models and DOE Test Procedures

    Broader source: Energy.gov [DOE]

    This study investigates the real-world energy performance of appliances and equipment as it compares with models and test procedures.

  5. Table 8.4c Consumption for Electricity Generation by Energy Source...

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

    Year Fossil Fuels Nuclear Electric Power Renewable Energy Other 9 Electricity Net Imports Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric ...

  6. Table 8.4b Consumption for Electricity Generation by Energy Source...

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

    (Subset of Table 8.4a; Billion Btu) Year Fossil Fuels Nuclear Electric Power 5 Renewable Energy Other 9 Electricity Net Imports 10 Total Coal 1 Petroleum 2 Natural Gas 3 Other ...

  7. Table 8.4a Consumption for Electricity Generation by Energy Source...

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

    Year Fossil Fuels Nuclear Electric Power 5 Renewable Energy Other 9 Electricity Net Imports 10 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric ...

  8. Audit Report - Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit, OAS-FS-13-09

    Energy Savers [EERE]

    Audits and Inspections Audit Report Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit OAS-FS-13-09 January 2013 MEMORANDUM FOR THE DIRECTOR, OFFICE OF SCIENCE FROM: Daniel M. Weeber Assistant Inspector General for Office of Inspector General SUBJECT: INFORMATION Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit The attached report presents the results of the independent

  9. Water and Energy Sustainability: A Balance of Government Action and Industry Innovation

    SciTech Connect (OSTI)

    Ben Grunewald

    2009-12-31

    By completing the tasks and subtasks of the project, the Ground Water Protection Council (GWPC) through its state regulatory agency members and oil and gas industry partners, will bring attention to water quality and quantity issues and make progress toward water and energy sustainability though enhanced water protection and conservation thus enhancing the viability of the domestic fossil fuel industry. The project contains 4 major independent Tasks. Task 1 - Work Plan: Water-Energy Sustainability: A Symposium on Resource Viability. Task 2 - Work Plan: A Regional Assessment of Water and Energy Sustainability. Task 3 - Work Plan: Risk Based Data Management System-Water Water and Energy Module. Task 4 - Work Plan: Identification and Assessment of States Regulatory Programs Regarding Geothermal Heating and Cooling Systems. Each task has a specific scope (details given).

  10. S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2013: Consumption

    Gasoline and Diesel Fuel Update (EIA)

    2 Table C9. Electric Power Sector Consumption Estimates, 2013 (Trillion Btu) State Coal Natural Gas a Petroleum Nuclear Electric Power Hydroelectric Power b Biomass Geothermal Solar/PV d Wind Net Electricity Imports e Total f Distillate Fuel Oil Petroleum Coke Residual Fuel Oil Total Wood and Waste c Alabama ............. 488.6 339.8 0.6 0.0 0.0 0.6 426.5 123.1 4.1 0.0 0.0 0.0 0.0 1,382.7 Alaska ................. 5.9 34.0 3.2 0.0 0.6 3.8 0.0 13.7 0.0 0.0 0.0 1.4 (s) 58.8 Arizona ...............

  11. Balancing Cost and Risk: The Treatment of Renewable Energy in Western Utility Resource Plans

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-08-10

    Markets for renewable energy have historically been motivated primarily by policy efforts, but a less widely recognized driver is poised to also play a major role in the coming years: utility integrated resource planning (IRP). Resource planning has re-emerged in recent years as an important tool for utilities and regulators, particularly in regions where retail competition has failed to take root. In the western United States, the most recent resource plans contemplate a significant amount of renewable energy additions. These planned additions--primarily coming from wind power--are motivated by the improved economics of wind power, a growing acceptance of wind by electric utilities, and an increasing recognition of the inherent risks (e.g., natural gas price risk, environmental compliance risk) in fossil-based generation portfolios. This report examines how twelve western utilities treat renewable energy in their recent resource plans. In aggregate, these utilities supply approximately half of all electricity demand in the western United States. Our purpose is twofold: (1) to highlight the growing importance of utility IRP as a current and future driver of renewable energy, and (2) to identify methodological/modeling issues, and suggest possible improvements to methods used to evaluate renewable energy as a resource option. Here we summarize the key findings of the report, beginning with a discussion of the planned renewable energy additions called for by the twelve utilities, an overview of how these plans incorporated renewables into candidate portfolios, and a review of the specific technology cost and performance assumptions they made, primarily for wind power. We then turn to the utilities' analysis of natural gas price and environmental compliance risks, and examine how the utilities traded off portfolio cost and risk in selecting a preferred portfolio.

  12. Energy balances in the production and end-use of methanol derived from coal

    SciTech Connect (OSTI)

    1980-12-10

    Analysis is performed for three combinations of fuels, specifically: net petroleum gain (petroleum only); net premium fuel gain (natural gas and petroleum); and net energy gain (includes all fuels; does not include free energy from sun). The base case selected for evaluation was that of an energy-efficient coal-to-methanol plant located in Montana/Wyoming and using the Lurgi conversion process. The following variations of the base coal-methanol case are also analyzed: gasoline from coal with methanol as an intermediate step (Mobil-M); and methanol from coal (Texaco gasification process). For each process, computations are made for the product methanol as a replacement for unleaded gasoline in a conventional spark ignition engine and as a chemical feedstock. For the purpose of the energy analysis, computations are made for three situations regarding mileage of methanol/ gasoline compared to that of regular unleaded gasoline: mileage of the two fuels equal, mileage 4 percent better with gasohol, and mileage 4 percent worse with gasohol. The standard methodology described for the base case applies to all of the variations.

  13. The impact of summer heat islands on cooling energy consumption and CO{sub 2} emissions

    SciTech Connect (OSTI)

    Akbari, H.; Huang, J.; Martien, P.; Rainer, L.; Rosenfeld, A.; Taha, H.

    1988-08-01

    It has been well documented that summer heat islands increase the demand for air conditioning. Several studies have suggested developing guidelines to mitigate this negative effect, on both micro- and meso-scales. Reducing summer heat islands saves cooling energy, reduces peak demand, and reduces the emission of CO{sub 2} from electric power plants. This paper summarizes some of the efforts to quantify the effects of techniques to reduce heat islands. In particular, the authors summarize simulations they have made on the effects of plating trees and switching to light colored surfaces in cities. The results indicate that these techniques effectively reduce building cooling loads and peak power in selected US cities, and are the cheapest way to save energy and reduce CO{sub 2} emissions. This paper compares the economics of technologies to mitigate summer heat islands with other types of conservation measures. The authors estimate the cost of energy conserved by planting trees and recoating surfaces on a national level and compare it with the cost of energy conserved by increasing efficiencies in electrical appliances and cars. Early results indicate that the cost of energy saved by controlling heat islands is less than 1{cents}/kWh, more attractive than efficient electric appliances ({approximately} 2{cents}/kWh), and far more attractive than new electric supplies ({approximately}10{cents}/kWh). In transportation, the cost of conserving a gallon of gasoline, though far more attractive than buying gasoline at current prices, is again more expensive than controlling heat islands. By accounting for the carbon content of the fuels used for power generation and transportation, the authors restate these comparisons in terms of cents per avoided pound of carbon emitted as CO{sub 2}. The results show that the cost of avoided CO{sub 2} from planting trees/increasing albedo is about 0.3--1.3{cents}/lb. of carbon; for buying efficient electric appliances, 2.5{cents}/lb. of carbon; and for efficient cars, 10{cents}/lb. of carbon.

  14. Buildings Energy Data Book: 8.1 Buildings Sector Water Consumption

    Buildings Energy Data Book [EERE]

    3 Energy Use of Wastewater Treatment Plants by Capacity and Treatment Level (kWh per Million Gallons) 1 - 5 - 10 - 20 - 50 - 100 - Note(s): Source(s): 673 1,028 1,188 1,558 The level of treatment indicates the amount of processing involved before water is released from the treatment facility. Primary treatment removes solids and oils from wastewater. Secondary treatment uses biological processes to remove organic material from the water. Tertiary treatment includes additional processes to

  15. Drivers of Future Energy Demand

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

    Future Energy Demand in China Asian Energy Demand Outlook 2014 EIA Energy Conference July 14, 2014 Valerie J. Karplus MIT Sloan School of Management 2 www.china.org.cn www.flickr.com www.wikimedia.org globalchange.mit.edu Global Climate Change Human Development Local Pollution Industrial Development & Resource Needs How to balance? 0 500 1000 1500 2000 2500 3000 3500 4000 1981 1991 2001 2011 Non-material Sectors/Other Construction Commercial consumption Residential consumption Transportation

  16. Comparison of heating and cooling energy consumption by HVAC system with mixing and displacement air distribution for a restaurant dining area in different climates

    SciTech Connect (OSTI)

    Zhivov, A.M.; Rymkevich, A.A.

    1998-12-31

    Different ventilation strategies to improve indoor air quality and to reduce HVAC system operating costs in a restaurant with nonsmoking and smoking areas and a bar are discussed in this paper. A generic sitting-type restaurant is used for the analysis. Prototype designs for the restaurant chain with more than 200 restaurants in different US climates were analyzed to collect the information on building envelope, dining area size, heat and contaminant sources and loads, occupancy rates, and current design practices. Four constant air volume HVAC systems wit h a constant and variable (demand-based) outdoor airflow rate, with a mixing and displacement air distribution, were compared in five representative US climates: cold (Minneapolis, MN); Maritime (Seattle, WA); moderate (Albuquerque, NM); hot-dry (Phoenix, AZ); and hot-humid (Miami, FL). For all four compared cases and climatic conditions, heating and cooling consumption by the HVAC system throughout the year-round operation was calculated and operation costs were compared. The analysis shows: Displacement air distribution allows for better indoor air quality in the breathing zone at the same outdoor air supply airflow rate due to contaminant stratification along the room height. The increase in outdoor air supply during the peak hours in Miami and Albuquerque results in an increase of both heating and cooling energy consumption. In other climates, the increase in outdoor air supply results in reduced cooling energy consumption. For the Phoenix, Minneapolis, and Seattle locations, the HVAC system operation with a variable outdoor air supply allows for a decrease in cooling consumption up to 50% and, in some cases, eliminates the use of refrigeration machines. The effect of temperature stratification on HVAC system parameters is the same for all locations; displacement ventilation systems result in decreased cooling energy consumption but increased heating consumption.

  17. Table 2.4 Household Energy Consumption by Census Region, Selected Years, 1978-2009 (Quadrillion Btu, Except as Noted)

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

    Household 1 Energy Consumption by Census Region, Selected Years, 1978-2009 (Quadrillion Btu, Except as Noted) Census Region 2 1978 1979 1980 1981 1982 1984 1987 1990 1993 1997 2001 2005 2009 United States Total (does not include wood) 10.56 9.74 9.32 9.29 8.58 9.04 9.13 9.22 10.01 10.25 9.86 10.55 10.18 Natural Gas 5.58 5.31 4.97 5.27 4.74 4.98 4.83 4.86 5.27 5.28 4.84 4.79 4.69 Electricity 3 2.47 2.42 2.48 2.42 2.35 2.48 2.76 3.03 3.28 3.54 3.89 4.35 4.39 Distillate Fuel Oil and Kerosene 2.19

  18. Radar channel balancing with commutation

    SciTech Connect (OSTI)

    Doerry, Armin Walter

    2014-02-01

    When multiple channels are employed in a pulse-Doppler radar, achieving and maintaining balance between the channels is problematic. In some circumstances the channels may be commutated to achieve adequate balance. Commutation is the switching, trading, toggling, or multiplexing of the channels between signal paths. Commutation allows modulating the imbalance energy away from the balanced energy in Doppler, where it can be mitigated with filtering.

  19. Energy & Financial Markets - U.S. Energy Information Administration (EIA) -

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

    U.S. Energy Information Administration (EIA) Balance Inventories act as the balancing point between supply and demand. During periods when production exceeds consumption, crude oil and petroleum products can be stored for expected future use. In the economic downturn of late 2008 and early 2009, for example, the unexpected drop in world demand led to record crude oil inventories in the United States and other OECD countries. In contrast, when consumption outstrips current production,

  20. ENERGY CONSUMPTION SURVEY

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

    acquisition 1985 RTECS Data Manipulation Procedures ManualOctober 19865-46 PUT Source: Language: System context: Inputs: and disposition. If the vehicle was acquired before July...