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Sample records for mode energy consumption

  1. Transportation sector energy consumption

    Annual Energy Outlook

    Chapter 8 Transportation sector energy consumption Overview In the International Energy Outlook 2016 (IEO2016) Reference case, transportation sector delivered energy consumption ...

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

    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...

  3. 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

  4. Office Buildings - Energy Consumption

    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,...

  5. Manufacturing Consumption of Energy 1994

    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...

  6. Industrial sector energy consumption

    Annual Energy Outlook

    Chapter 7 Industrial sector energy consumption Overview The industrial sector uses more delivered energy 294 than any other end-use sector, consuming about 54% of the world's total ...

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

    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...

  8. Energy Information Administration - Transportation Energy Consumption...

    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...

  9. " Column: Energy-Consumption Ratios;"

    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." ...

  10. Manufacturing Consumption of Energy 1994

    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. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook

    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...

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

    Gasoline and Diesel Fuel Update

    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...

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

    Gasoline and Diesel Fuel Update

    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...

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

    Gasoline and Diesel Fuel Update

    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...

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

    Annual Energy Outlook

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

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

    Annual Energy Outlook

    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...

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

    Gasoline and Diesel Fuel Update

    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...

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

    Gasoline and Diesel Fuel Update

    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)...

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

    Annual Energy Outlook

    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...

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

    Annual Energy Outlook

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

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

    Annual Energy Outlook

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

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

    Gasoline and Diesel Fuel Update

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

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

    Annual Energy Outlook

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

  4. Household Vehicles Energy Consumption 1991

    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...

  5. Manufacturing Consumption of Energy 1994

    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...

  6. Energy Preview: Residential Transportation Energy Consumption...

    Annual Energy Outlook

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

  7. Residential Energy Consumption Survey:

    Annual Energy Outlook

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

  8. 2014 Manufacturing Energy Consumption Survey

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    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 ...

  9. Manufacturing Consumption of Energy 1994

    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. Manufacturing consumption of energy 1991

    SciTech Connect

    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.

  11. Household Vehicles Energy Consumption 1991

    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...

  12. Household Vehicles Energy Consumption 1991

    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...

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

    Annual Energy Outlook

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

  14. Household Vehicles Energy Consumption 1991

    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) . . . . . . . . ....

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

    Annual Energy Outlook

    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...

  16. Energy Intensity Indicators: Commercial Source Energy Consumption

    Energy.gov [DOE]

    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...

  17. Transportation Energy Consumption Surveys

    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?...

  18. Household Vehicles Energy Consumption 1991

    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...

  19. 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.

  20. 1999 Commercial Buildings Energy Consumption Survey Detailed...

    Energy Information Administration (EIA) (indexed site)

    Consumption and Expenditures Tables Table C1. Total Energy Consumption by Major Fuel ...... 124 Table C2. Total Energy Expenditures by ...

  1. Building Energy Consumption Analysis

    Energy Science and Technology Software Center

    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

  2. Building Energy Consumption Analysis

    Energy Science and Technology Software Center

    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

  3. Community Energy Consumption Analysis

    Energy Science and Technology Software Center

    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

  4. Manufacturing consumption of energy 1994

    SciTech Connect

    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.

  5. Energy Intensity Indicators: Residential Source Energy Consumption

    Energy.gov [DOE]

    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...

  6. Vehicle Energy Consumption and Performance Analysis | Argonne...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Consumption and Performance Analysis Vehicle Energy Consumption and Performance Analysis Argonne researchers have applied their expertise in modeling, simulation and control to ...

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

  8. Household vehicles energy consumption 1994

    SciTech Connect

    1997-08-01

    Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

  9. Optimization to reduce fuel consumption in charge depleting mode

    DOEpatents

    Roos, Bryan Nathaniel; Martini, Ryan D.

    2014-08-26

    A powertrain includes an internal combustion engine, a motor utilizing electrical energy from an energy storage device, and a plug-in connection. A Method for controlling the powertrain includes monitoring a fuel cut mode, ceasing a fuel flow to the engine based upon the fuel cut mode, and through a period of operation including acceleration of the powertrain, providing an entirety of propelling torque to the powertrain with the electrical energy from the energy storage device based upon the fuel cut mode.

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

    Gasoline and Diesel Fuel Update

    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

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

    Gasoline and Diesel Fuel Update

    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,

  12. Energy consumption in thermomechanical pulping

    SciTech Connect

    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. Commercial Buildings Energy Consumption and Expenditures 1992

    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....

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

    Energy Information Administration (EIA) (indexed site)

    Issues in International Energy Consumption Analysis: Canadian Energy Demand June 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 ...

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

    Gasoline and Diesel Fuel Update

    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 Census ...

  16. Household energy consumption and expenditures, 1990

    SciTech Connect

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  17. State energy data report 1992: Consumption estimates

    SciTech Connect

    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. Household energy consumption and expenditures, 1987

    SciTech Connect

    Not Available

    1989-10-10

    Household Energy Consumption and Expenditures 1987, Part 1: National Data is the second publication in a series from the 1987 Residential Energy Consumption Survey (RECS). It is prepared by the Energy End Use Division (EEUD) of the Office of Energy Markets and End Use (EMEU), Energy Information Administration (EIA). The EIA collects and publishes comprehensive data on energy consumption in occupied housing units in the residential sector through the RECS. 15 figs., 50 tabs.

  19. Commercial Buildings Energy Consumption and Expenditures 1992

    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: Electricity...

    Energy Information Administration (EIA) (indexed site)

    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 ...

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    That increase in supply has in turn lowered the price of natural gas to manufacturers Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use ...

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

    Gasoline and Diesel Fuel Update

    This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energy consumption actually decreased from 10.58 quads to ...

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

    DOEpatents

    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.

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

    DOEpatents

    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.

  5. State Energy Data System 2014 Consumption Technical Notes

    Annual Energy Outlook

    Consumption Technical Notes U.S. Energy Information Administration | State Energy Data 2014: Consumption 3 Purpose All of the estimates contained in the state energy consumption ...

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

    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...

  7. Household energy consumption and expenditures 1993

    SciTech Connect

    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.

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

    Energy Information Administration (EIA) (indexed site)

    Administration (EIA) ‹ Consumption & Efficiency Manufacturing Energy Consumption Survey (MECS) Glossary › FAQS › Overview Data 2010 2006 2002 1998 1994 1991 Archive Analysis & Projections Preliminary estimates show that U.S. manufacturing energy consumption increased between 2010 and 2014 Graph showing manufacturing energy consumption has increased for the first time since 2002 Source: U.S. Energy Information Administration, Manufacturing Energy Consumption Survey (MECS) 2010

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

    U.S. Department of Energy (DOE) - all 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 Preliminary estimates show that U.S. manufacturing energy consumption increased between 2010 and 2014 Graph showing manufacturing energy consumption has increased for the first time since 2002 Source: U.S. Energy Information Administration, Manufacturing Energy Consumption Survey (MECS) 2010

  10. Energy Intensity Indicators: Transportation Energy Consumption

    Energy.gov [DOE]

    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 containing detailed data and graphics for specific transportation modes.

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

    Energy Information Administration (EIA) (indexed site)

    Administration 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 & emissions. Consumption &

  12. Consumption

    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...

  13. Consumption

    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...

  14. Consumption

    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...

  15. Consumption

    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...

  16. Consumption

    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...

  17. Consumption

    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...

  18. Consumption

    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...

  19. Consumption

    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...

  20. Consumption

    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...

  1. Consumption

    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...

  2. Consumption

    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...

  3. Consumption

    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...

  4. Consumption

    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...

  5. Consumption

    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...

  6. Consumption

    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...

  7. Consumption

    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...

  8. Consumption

    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...

  9. Consumption

    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...

  10. Consumption

    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...

  11. Consumption

    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...

  12. State energy data report 1993: Consumption estimates

    SciTech Connect

    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.

  13. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect

    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.

  14. Commercial Buildings Energy Consumption and Expenditures 1992

    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...

  15. Commercial Buildings Energy Consumption and Expenditures 1992

    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...

  16. 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...

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

    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...

  18. Household Vehicles Energy Consumption 1994 - Appendix C

    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...

  19. Commercial Miscellaneous Electric Loads Report: Energy Consumption...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Commercial Miscellaneous Electric Loads Report: Energy Consumption Characterization and Savings Potential in 2008 by Building Type Commercial Miscellaneous Electric Loads Report: ...

  20. State energy data report 1994: Consumption estimates

    SciTech Connect

    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.

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

    Annual Energy Outlook

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

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

    Annual Energy Outlook

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

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

    Gasoline and Diesel Fuel Update

    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...

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

    Annual Energy Outlook

    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)...

  5. State energy data report 1996: Consumption estimates

    SciTech Connect

    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.

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy ...

  7. Appliance Energy Consumption in Australia | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  8. Residential Energy Consumption Survey: Quality Profile

    SciTech Connect

    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.

  9. Estimates of US biomass energy consumption 1992

    SciTech Connect

    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.

  10. Commercial Miscellaneous Electric Loads Report: Energy Consumption

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Characterization and Savings Potential in 2008 by Building Type | Department of Energy Commercial Miscellaneous Electric Loads Report: Energy Consumption Characterization and Savings Potential in 2008 by Building Type Commercial Miscellaneous Electric Loads Report: Energy Consumption Characterization and Savings Potential in 2008 by Building Type Commercial miscellaneous electric loads (MELs) are generally defined as all electric loads except those related to main systems for heating,

  11. 1991 Manufacturing Consumption of Energy 1991 Executive Summary

    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...

  12. State energy data report 1995 - consumption estimates

    SciTech Connect

    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.

  13. Manufacturing Consumption of Energy 1994

    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:...

  14. Consumption & Efficiency - U.S. Energy Information Administration (EIA)

    Energy Information Administration (EIA) (indexed site)

    Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey data Commercial Energy Consumption Survey data Manufacturing Energy Consumption Survey data Vehicle Energy Consumption Survey data Energy intensity Consumption summaries Average cost of fossil-fuels for electricity generation All consumption & efficiency data reports Analysis & Projections Major Topics Most popular All sectors Commercial buildings Efficiency Manufacturing Projections

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

    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...

  16. Consumption

    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...

  17. Energy Consumption of Die Casting Operations

    SciTech Connect

    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.

  18. Household Vehicles Energy Consumption 1991

    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

    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. Manufacturing Consumption of Energy 1994

    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...

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

    Energy Information Administration (EIA) (indexed site)

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

    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, ...

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

    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...

  4. 2002 Manufacturing Energy Consumption Survey - User Needs Survey

    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...

  5. Smart Meters Help Balance Energy Consumption at Solar Decathlon...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    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...

  6. 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...

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

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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. Energy consumption series: Lighting in commercial buildings

    SciTech Connect

    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.

  10. Trends in Renewable Energy Consumption and Electricity - Energy...

    Gasoline and Diesel Fuel Update

    Overview Data Summary Biomass Geothermal Hydropower Solar Wind Alternative transportation ... Wind was the source of 11 percent of total renewable energy consumption, and solar and ...

  11. Manufacturing Consumption of Energy 1994

    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...

  12. Manufacturing Consumption of Energy 1994

    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...

  13. Commercial Buildings Energy Consumption Survey - Office Buildings

    Reports and Publications

    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.

  14. Household energy consumption and expenditures 1987

    SciTech Connect

    Not Available

    1990-01-22

    This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

  15. International Energy Outlook 2016-Transportation sector energy consumption

    Gasoline and Diesel Fuel Update

    - Energy Information Administration 8. Transportation sector energy consumption print version Overview In the International Energy Outlook 2016 (IEO2016) Reference case, transportation sector delivered energy consumption increases at an annual average rate of 1.4%, from 104 quadrillion British thermal units (Btu) in 2012 to 155 quadrillion Btu in 2040. Transportation energy demand growth occurs almost entirely in regions outside of the Organization for Economic Cooperation and Development

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

  17. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect

    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.

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

    Reports and Publications

    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.

  19. DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption

    Annual Energy Outlook

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

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

    Gasoline and Diesel Fuel Update

    (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...

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

    Annual Energy Outlook

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

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

    Gasoline and Diesel Fuel Update

    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...

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

    DOEpatents

    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.

  4. Housing characteristics, 1987: Residential Energy Consumption Survey

    SciTech Connect

    Not Available

    1989-05-26

    This report is the first of a series of reports based on data from the 1987 RECS. The 1987 RECS is the seventh in the series of national surveys of households and their energy suppliers. These surveys provide baseline information on how households in the United States use energy. A cross section of housing types such as single-family detached homes, townhouses, large and small apartment buildings, condominiums, and mobile homes were included in the survey. Data from the RECS and a companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are available to the public in published reports such as this one and on public use tapes. 10 figs., 69 tabs.

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

    Annual Energy Outlook

    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...

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

    SciTech Connect

    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.

  7. Household energy consumption and expenditures, 1990. [Contains Glossary

    SciTech Connect

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  8. International Energy Outlook 2016-Industrial sector energy consumption -

    Gasoline and Diesel Fuel Update

    Energy Information Administration 7. Industrial sector energy consumption print version Overview The industrial sector uses more delivered energy [294] than any other end-use sector, consuming about 54% of the world's total delivered energy. The industrial sector can be categorized by three distinct industry types: energy-intensive manufacturing, nonenergy-intensive manufacturing, and nonmanufacturing (Table 7-1). The mix and intensity of fuels consumed in the industrial sector vary across

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

    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....

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

    Energy Information Administration (EIA) (indexed site)

    Data Methodology & Forms 2006 Data Tables Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy Information Administration (EIA) Revision notice (November 2009): ...

  11. 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...

  12. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications

    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.

  13. 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 ...

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

    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...

  15. PIA - Form EIA-475 A/G Residential Energy Consumption Survey...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Form EIA-475 AG Residential Energy Consumption Survey PIA - Form EIA-475 AG Residential Energy Consumption Survey PIA - Form EIA-475 AG Residential Energy Consumption Survey PIA ...

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

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) RECS data show decreased energy consumption per household RECS 2009 - Release date: June 6, 2012 Total United States energy consumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the number and average size of housing units, according to the newly released data from the Residential Energy Consumption Survey (RECS). The average household consumed 90 million British thermal units

  17. 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 End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The framework allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3)

  18. 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. Report to Congress (285 KB) More Documents & Publications Impact of Extended Daylight Saving Time on National Energy Consumption, Technical

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

    Gasoline and Diesel Fuel Update

    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

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

    Gasoline and Diesel Fuel Update

    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,"

  1. End use energy consumption data base: transportation sector

    SciTech Connect

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

    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...

  3. 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 ...

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

    Gasoline and Diesel Fuel Update

    Relationship of CBECS Coverage to EIA Supply Surveys The primary purpose of the CBECS is to collect accurate statistics of energy consumption by individual buildings. EIA also ...

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

    Energy.gov [DOE] (indexed site)

    It first identifies and prioritizes the appliances to be evaluated. Then, the study determines whether real world energy consumption differed substantially from predictions and ...

  6. 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 ...

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

    Office of Environmental Management (EM)

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

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

    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,...

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

    Gasoline and Diesel Fuel Update

    Information Administration (EIA) Building Type Definitions In the Commercial Buildings Energy Consumption Survey (CBECS), buildings are classified according to principal activity, which is the primary business, commerce, or function carried on within each building. Buildings used for more than one of the activities described below are assigned to the activity occupying the most floorspace. A building assigned to a particular principal activity category may be used for other activities in a

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

    Gasoline and Diesel Fuel Update

    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

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

    Buildings Energy Data Book

    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

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

    SciTech Connect

    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)

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

    SciTech Connect

    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)

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

    Energy Information Administration (EIA) (indexed site)

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

    Data Methodology & Forms all tables + EXPAND ALL Consumption of Energy for All Purposes ... Table 1.4 Number of Establishments Using Energy Consumed for All Purpose XLSPDF Table 1.5 ...

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

    Energy Information Administration (EIA) (indexed site)

    Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) ... XLS PDF Table 1.4 Number of Establishments Using Energy Consumed for All Purpose XLS PDF ...

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

    Reports and Publications

    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.

  18. " Column: Energy-Consumption Ratios;"

    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

  19. " Column: Energy-Consumption Ratios;"

    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

  20. ISSUANCE 2016-02-09: Energy Conservation Program: Energy Conservation Standards for Standby Mode and Off Mode for Microwave Ovens; Correction

    Office of Energy Efficiency and Renewable Energy (EERE)

    Energy Conservation Program: Energy Conservation Standards for Standby Mode and Off Mode for Microwave Ovens; Correction

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

    Gasoline and Diesel Fuel Update

    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

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

    Energy Information Administration (EIA) (indexed site)

    Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Manufacturing Energy Sankey Diagrams Manufacturing Energy Flows ...

  3. 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. Technical Documentation for Report to Congress (3.65 MB) More Documents & Publications Impact of Extended

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

    Gasoline and Diesel Fuel Update

    Projections - U.S. Energy Information Administration (EIA) 2012 CBECS Preliminary Results What is a commercial building? The CBECS includes buildings greater than 1,000 square feet that devote more than half of their floorspace to activity that is neither residential, manufacturing, industrial, nor agricultural. When will energy consumption estimates be available? Energy consumption and expenditures data will be available beginning in spring 2015. CBECS data collection is currently in its

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

    SciTech Connect

    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.

  6. Fact #792: August 12, 2013 Energy Consumption by Sector and Energy Source, 1982 and 2012

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

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

    Energy.gov [DOE] (indexed site)

    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 ...

  8. Residential energy consumption survey: consumption and expenditures, April 1982-March 1983. Part 1, national data

    SciTech Connect

    Thompson, W.

    1984-11-01

    This report presents data on the US consumption and expenditures for residential use of natural gas, electricity, fuel oil or kerosene, and liquefied petroleum gas (LPG) from April 1982 through March 1983. Data on the consumption of wood for this period are also presented. The consumption and expenditures data are based on actual household bills, obtained, with the permission of the household. from the companies supplying energy to the household. Data on wood consumption are based on respondent recall of the amount of wood burned during the winter and are subject to memory errors and other reporting errors described in the report. These data come from the 1982 Residential Energy Consumption Survey (RECS), the fifth in a series of comparable surveys beginning in 1978. The 1982 survey is the first survey to include, as part of its sample, a portion of the same households interviewed in the 1980 survey. A separate report is planned to report these longitudinal data. This summary gives the highlights of a comparison of the findings for the 5 years of RECS data. The data cover all types of housing units in the 50 states and the District of Columbia including single-family units, apartments, and mobile homes. For households with indirect energy costs, such as costs that are included in the rent or paid by third parties, the sonsumption and expenditures data are estimated and included in the figures reported here. The average household consumption of natural gas, electricity, fuel oil or kerosene, and LPG dropped in 1982 from the previous year, hitting a 5-year low since the first Residential Energy Consumption Survey (RECS) was conducted in 1978. The average consumption was 103 (+-3) million Btu per household in 1982, down from 114 (+-) million Btu in 1981. The weather was the main contributing factor. 8 figures, 46 tables.

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

    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...

  10. Commercial Buildings Energy Consumption and Expenditures 1992

    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...

  11. New York: Weatherizing Westbeth Reduces Energy Consumption

    Energy.gov [DOE]

    Project provides energy savings and the improved health and safety of the residents within the building.

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

    SciTech Connect

    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.

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

    SciTech Connect

    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 national energy consumption.

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

    Energy.gov [DOE] (indexed site)

    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 ...

  15. Smart Meters Help Balance Energy Consumption at Solar Decathlon

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    This case study outlines how General Motors (GM) developed a highly efficient pumping ... As a result, the company reduced pumping system energy consumption by 80 percent (225,100 ...

  17. Issues in International Energy Consumption Analysis: Electricity Usage in

    Energy Information Administration (EIA) (indexed site)

    India's Housing Sector - Energy Information Administration Canadian Energy Demand Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Canadian Energy Demand Release date: June 2, 2015 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

  18. Assessment of Vehicle Sizing, Energy Consumption and Cost through Large

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Scale Simulation of Advanced Vehicle Technologies | Argonne National Laboratory Assessment of Vehicle Sizing, Energy Consumption and Cost through Large Scale Simulation of Advanced Vehicle Technologies Title Assessment of Vehicle Sizing, Energy Consumption and Cost through Large Scale Simulation of Advanced Vehicle Technologies Publication Type Report Year of Publication 2016 Authors Moawad, A, Kim, N, Shidore, N, Rousseau, A Institution Argonne National Laboratory City Argonne, IL USA

  19. Commercial Buildings Energy Consumption and Expenditures 1992

    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...

  20. Commercial Buildings Energy Consumption and Expenditures 1992

    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...

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

    Reports and Publications

    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.

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

    Gasoline and Diesel Fuel Update

    iron and steel, paper, wood products, and food, as well as less energy-intensive industries such as textiles, leather, apparel, furniture, machinery, and electrical equipment. ...

  3. Commercial Buildings Energy Consumption and Expenditures 1992

    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...

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

    Energy Information Administration (EIA) (indexed site)

    Nonresidential Buildings Energy Consumption Survey: 1979 Consumption and Expenditures D Part I: Natural Gas and Electricity March 1983 Energy Information Administration ...

  5. Table 1.3 Primary Energy Consumption Estimates by Source, 1949...

    Gasoline and Diesel Fuel Update

    ... hydroelectric power, geothermal, solar thermal, photovoltaic, and wind. ... Notes: * See "Primary Energy Consumption" in Glossary. * See Table E1 for estimated energy consumption ...

  6. Electricity in US energy consumption. [Percentages for 1973 to 1982

    SciTech Connect

    Studness, C.M.

    1984-09-13

    The share of US energy consumption devoted to electric generation rose sharply again in 1983. Of 70.573 quadrillion Btu consumed nationally last year, 35.4% or 24.975 quadrillion Btu were used for electric generation. This represented an increase from 34.3% in 1982. Significantly, the share of the nation's energy consumption accounted for by electric generation has risen just as rapidly during the ten years since the Arab oil embargo in 1973 as it did during the decade leading up to the embargo. Electricity's share of energy consumption rose 7.3 percentage points from only 19.5% in 1963 to 26.8% in 1973 and another 8.6 percentage points during the last ten years to 35.4% in 1983. Moreover, electricity's share of energy consumption has grown in each of the ten years since the embargo. The nation's energy consumption actually fell 0.4% in 1983, and it declined 4.9% or roughly 0.4% per year during 1973 to 1983. By contrast, energy consumed in electric generation rose 2.9% last year and grew 2.3% per year during the last decade.

  7. Northwest Energy Innovations (TRL 5 6 System)- WETNZ MtiMode Wave Energy Converter Advancement Project

    Energy.gov [DOE]

    Northwest Energy Innovations (TRL 5 6 System) - WETNZ MtiMode Wave Energy Converter Advancement Project

  8. 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 ...

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

    Gasoline and Diesel Fuel Update

    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...

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

    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

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

    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

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

    SciTech Connect

    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. US industrial process heating energy consumption: 1985

    SciTech Connect

    McDermott, H.; Chapman, M.A.

    1988-02-01

    The objective of this report was to refine and update energy-use estimates for US industrial process heating based on categories defined in an earlier study sponsored by Gas Research Institute (GRI) (Report No. GRI--84/0187. 154 refs., 77 tabs.

  14. Projecting household energy consumption within a conditional demand framework

    SciTech Connect

    Teotia, A.; Poyer, D.

    1991-01-01

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

  15. Projecting household energy consumption within a conditional demand framework

    SciTech Connect

    Teotia, A.; Poyer, D.

    1991-12-31

    Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

  16. Select Results from the Energy Assessor Experiment in the 2012 Commercial Buildings Energy Consumption Survey

    Energy Information Administration (EIA) (indexed site)

    Select Results from the Energy Assessor Experiment in the 2012 Commercial Buildings Energy Consumption Survey December 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Select Results from the Energy Assessor Experiment in the 2012 Commercial Buildings Energy Consumption Survey i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the

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

    Gasoline and Diesel Fuel Update

    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

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

    Annual Energy Outlook

    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...

  20. Analysis of federal incentives used to stimulate energy consumption

    SciTech Connect

    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)

  1. Sandia Energy - Failure Mode and Effect Analysis (FMEA) Tutorial

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Failure Mode and Effect Analysis (FMEA) Tutorial Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Systems Reliability Tutorial on FMEA Process...

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

    SciTech Connect

    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

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

    Gasoline and Diesel Fuel Update

    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

    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

    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. Computer usage and national energy consumption: Results from a field-metering study

    SciTech Connect

    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

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

    Buildings Energy Data Book

    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

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

    SciTech Connect

    Clark, Y.Y.; Vincent, W.

    1987-06-01

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

  9. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy...

    Annual Energy Outlook

    Biomass: Organic nonfossil material of biological origin constituting a renewable energy ... It is commonly used as a fuel within the steel works. An energy source to produce heat ...

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

    Energy Information Administration (EIA) (indexed site)

    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

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

    Energy Information Administration (EIA) (indexed site)

    Information Administration (EIA) 5 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Housing Characteristics Tables + EXPAND ALL Floorspace - Housing Characteristics PDF (all tables) Total Floorspace All, Heated, and Cooled Floorspace (HC1.1.1) PDF XLS Average Floorspace All Housing Units (HC1.1.2) PDF XLS Single Family and Mobile Homes (HC1.1.3) PDF XLS Apartments (HC1.1.4) PDF XLS Usage Indicators Heated Floorspace

  12. "Table A45. Selected Energy Operating Ratios for Total Energy Consumption"

    Energy Information Administration (EIA) (indexed site)

    5. Selected Energy Operating Ratios for Total Energy Consumption" " for Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Value of Shipment Categories, 1994" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE"

  13. "Table A46. Selected Energy Operating Ratios for Total Energy Consumption"

    Energy Information Administration (EIA) (indexed site)

    Selected Energy Operating Ratios for Total Energy Consumption" " for Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Employment Size Categories, 1994" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE"

  14. "Table A47. Selected Energy Operating Ratios for Total Energy Consumption for"

    Energy Information Administration (EIA) (indexed site)

    7. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" ,,,,,"Major" ,,,,"Consumption","Byproducts(b)" ,,,"Consumption","per Dollar","as a","Fuel Oil(c) as" ,,"Consumption","per Dollar","of Value","Percent of","a

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

    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"

  16. "Table A8. Selected Energy Operating Ratios for Total Energy Consumption for"

    Energy Information Administration (EIA) (indexed site)

    A8. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Industry Group, and" " Selected Industries, 1991" ,,,,,"Major" ,,,,"Consumption","Byproducts(b)" ,,,"Consumption","per Dollar","as a","Fuel Oil(c) as" ,,"Consumption","per Dollar","of Value","Percent of","a Percent

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

    Buildings Energy Data Book

    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,

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

    Buildings Energy Data Book

    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

  19. International Energy Outlook 2016-Buildings sector energy consumption -

    Gasoline and Diesel Fuel Update

    484(2016) I May 2016 International Energy Outlook 2016 ~ Independent Statistics & Ana[ysis e~ ~* a~ 1 U.S. ~~ergy. Information Administration Contacts The International Energy Outlook 2016 was prepared by the U.S. Energy Information Administration (EIA) under the direction of John Conti, Assistant Administrator for Energy Analysis (john.conti@eia.gov, 202-586-2222); Paul Holtberg, Team Leader, Analysis Integration Team (paul.holtberg@eia.gov, 202-586-1284); Jim Diefenderfer, Director, Office

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

    Gasoline and Diesel Fuel Update

    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

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

    Energy Information Administration (EIA) (indexed site)

    Information Administration (EIA) 9 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing characteristics tables + EXPAND ALL Fuels used & end uses Preliminary release date: March 28, 2011 Final release date: May 6, 2013 ZIP (all tables) by Type of housing unit (HC1.1) XLS by Owner-renter (HC1.2) XLS by Year of construction (HC1.3) XLS by Number of household members (HC1.4) XLS by Household income

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

    Buildings Energy Data Book

    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

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

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) Air conditioning in nearly 100 million U.S. homes RECS 2009 - Release date: August 19, 2011 line chart:air conditioning in U.S. figure dataExcept in the temperate climate regions along the West coast, air conditioners (AC) are now standard equipment in most U.S. homes (Figure 1). As recently as 1993, only 68% of all occupied housing units had AC. The latest results from the 2009 Residential Energy Consumption Survey (RECS) show that 87 percent of

  4. Sandia Energy - Turbulent Mixed-Mode Combustion Studied in a...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Turbulent Mixed-Mode Combustion Studied in a New Piloted Burner Home Transportation Energy CRF Office of Science Capabilities News News & Events Research & Capabilities Fuel...

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

    Buildings Energy Data Book

    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

  6. Assumptions to the Annual Energy Outlook 2015

    Energy Information Administration (EIA) (indexed site)

    Demand Module estimates transportation energy consumption across the nine Census ... Total transportation energy consumption is the sum of energy use in eight transport modes: ...

  7. Controlled cooling of an electronic system for reduced energy consumption

    DOEpatents

    David, Milnes P.; Iyengar, Madhusudan K.; Schmidt, Roger R.

    2016-08-09

    Energy efficient control of a cooling system cooling an electronic system is provided. The control includes automatically determining at least one adjusted control setting for at least one adjustable cooling component of a cooling system cooling the electronic system. The automatically determining is based, at least in part, on power being consumed by the cooling system and temperature of a heat sink to which heat extracted by the cooling system is rejected. The automatically determining operates to reduce power consumption of the cooling system and/or the electronic system while ensuring that at least one targeted temperature associated with the cooling system or the electronic system is within a desired range. The automatically determining may be based, at least in part, on one or more experimentally obtained models relating the targeted temperature and power consumption of the one or more adjustable cooling components of the cooling system.

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

    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

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

    Gasoline and Diesel Fuel Update

    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 › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy

  10. Consumption

    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-...

  11. Consumption

    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-...

  12. Consumption

    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...

  13. Consumption

    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-...

  14. Consumption

    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...

  15. Consumption

    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...

  16. Consumption

    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-...

  17. Consumption

    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-...

  18. USING TIME VARIANT VOLTAGE TO CALCULATE ENERGY CONSUMPTION AND POWER USE OF BUILDING SYSTEMS

    SciTech Connect

    Makhmalbaf, Atefe; Augenbroe , Godfried

    2015-12-09

    Buildings are the main consumers of electricity across the world. However, in the research and studies related to building performance assessment, the focus has been on evaluating the energy efficiency of buildings whereas the instantaneous power efficiency has been overlooked as an important aspect of total energy consumption. As a result, we never developed adequate models that capture both thermal and electrical characteristics (e.g., voltage) of building systems to assess the impact of variations in the power system and emerging technologies of the smart grid on buildings energy and power performance and vice versa. This paper argues that the power performance of buildings as a function of electrical parameters should be evaluated in addition to systems’ mechanical and thermal behavior. The main advantage of capturing electrical behavior of building load is to better understand instantaneous power consumption and more importantly to control it. Voltage is one of the electrical parameters that can be used to describe load. Hence, voltage dependent power models are constructed in this work and they are coupled with existing thermal energy models. Lack of models that describe electrical behavior of systems also adds to the uncertainty of energy consumption calculations carried out in building energy simulation tools such as EnergyPlus, a common building energy modeling and simulation tool. To integrate voltage-dependent power models with thermal models, the thermal cycle (operation mode) of each system was fed into the voltage-based electrical model. Energy consumption of systems used in this study were simulated using EnergyPlus. Simulated results were then compared with estimated and measured power data. The mean square error (MSE) between simulated, estimated, and measured values were calculated. Results indicate that estimated power has lower MSE when compared with measured data than simulated results. Results discussed in this paper will illustrate the

  19. Annual Energy Consumption Analysis Report for Richland Middle School

    SciTech Connect

    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.

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

    SciTech Connect

    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.

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

    Buildings Energy Data Book

    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

  2. Understanding Energy Consumption, One Candy Corn at a Time | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Understanding Energy Consumption, One Candy Corn at a Time Understanding Energy Consumption, One Candy Corn at a Time October 21, 2016 - 5:50pm Addthis Understanding Energy Consumption, One Candy Corn at a Time Daniel Wood Daniel Wood Data Visualization and Cartographic Specialist, Office of Public Affairs Click here to see the calculator in action! To commemorate National Energy Action Month, we're featuring some scarily effective ways to save energy at home. As cooler weather lurks

  3. Sample design for the residential energy consumption survey

    SciTech Connect

    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. Consumption

    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...

  5. Consumption

    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...

  6. Consumption

    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...

  7. Consumption

    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...

  8. Consumption

    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...

  9. Consumption

    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...

  10. Consumption

    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...

  11. Consumption

    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...

  12. Consumption

    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...

  13. Consumption

    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...

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

    SciTech Connect

    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

  15. RECENT TRENDS IN EMERGING TRANSPORTATION FUELS AND ENERGY CONSUMPTION

    SciTech Connect

    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.

  16. Determinants of automobile use and energy consumption in OECD countries

    SciTech Connect

    Schipper, L.

    1995-11-01

    Energy use is associated with environmental problems and other externalities arising from personal transportation. In this article, the author reviews trends in the use of the car and other modes of personal transportation in 10 OECD countries from 1970 to 1992. He analyzes changes in energy use for these activities and discuss underlying components of, and causes for, these changes. He compares differences between the US and the European countries studied, concluding that most of the variations arise because of differences in total transport activity and modal choice, not because of the energy efficiency of each mode. He analyzes more closely differences in activity, which is dominated by the automobile, relating automobile use to differences in fuel prices and car taxation, in patterns of mobility, in demographic patterns, and in geographical factors like land use or place of residence. He concludes with a focus on one externality of transportation, the carbon dioxide emissions from travel. He notes that these emissions are rising in all the countries studied. He suggests that policies aimed at stemming this rise must be integrated with other policies related to other problems of transportation, many of which are perceived to be more important than that of CO{sub 2} alone. 121 refs., 28 figs., 2 tabs.

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

    Buildings Energy Data Book

    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

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

    SciTech Connect

    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.

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

    Reports and Publications

    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.

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

    SciTech Connect

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

    Reports and Publications

    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).

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

    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

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

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

    SciTech Connect

    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.

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

    Buildings Energy Data Book

    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

  6. U.S. Energy Security Modes

    Energy Science and Technology Software Center

    2002-11-01

    Recent terrorist attacks in the United States have increased concerns about potential national security consequences from energy supply disruptions. The purpose of this Laboratory Directed Research & Development (LDRD) is to develop a high-level dynamic simulation model that would allow policy makers to explore the national security consequences of major US energy supply disruptions, and to do so in a way that would integrate energy, economic and environmental components. The model allows exploration of potentialmore » combinations of demand- driven energy supplies that meet chosen policy objectives, including: -Mitigating economic losses, measured in national economic output and employment levels, due to terrorist activity or forced outages of the type seen in California -Control of greenhouse gas levels and growth rates -Moderating US energy import requirements This work has built upon the Sandia US Energy and Greenhouse Gas Model (USEGM) by integrating a macroeconomic input-output framework into the model, adding the capability to assess the potential economic impact of energy supply disruptions and the assodated national security issues. The economic impacts of disruptions are measured in terms of lost US output (e.g., GDP, sectoral output) and lost employment, and are assessed either at a broad sectoral level (3 sectors) or at a disaggregated level (52 sectors). In this version of the model, physical energy disruptions result in quantitative energy shortfalls, and energy prices are not permitted to rise to clear the markets. The USESM code was rewritten in Powersim Studio, a software capable of handling the required macroeconomicfinput-output interfaces of the new model. IMPLAN software was used to develop the macroeconomic input-output components of the model.« less

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

    Energy Information Administration (EIA) (indexed site)

    Drivers of U.S. Household Energy Consumption, 1980-2009 February 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy ...

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

    Energy.gov [DOE]

    Document provides information on the use of energy savings performance contracts to reduce energy consumption and provide energy and cost savings in non-building applications.

  9. Table 11.1 Carbon Dioxide Emissions From Energy Consumption by...

    Energy Information Administration (EIA) (indexed site)

    ... minus denaturant. 5Distillate fuel oil, excluding biodiesel. RRevised. PPreliminary. ... Notes: * Data are estimates for carbon dioxide emissions from energy consumption, ...

  10. Table 11.2e Carbon Dioxide Emissions From Energy Consumption...

    Energy Information Administration (EIA) (indexed site)

    ... from energy consumption. * See "Carbon Dioxide" in Glossary. * Totals may not equal sum of components due to independent rounding. 4Distillate fuel oil, excluding biodiesel. ...

  11. Table 11.2c Carbon Dioxide Emissions From Energy Consumption...

    Energy Information Administration (EIA) (indexed site)

    ... minus denaturant. 4Distillate fuel oil, excluding biodiesel. RRevised. PPreliminary. ... Notes: * Data are estimates for carbon dioxide emissions from energy consumption, ...

  12. Table 11.2a Carbon Dioxide Emissions From Energy Consumption...

    Energy Information Administration (EIA) (indexed site)

    ... from energy consumption. * See "Carbon Dioxide" in Glossary. * Totals may not equal sum of components due to independent rounding. 4Distillate fuel oil, excluding biodiesel. ...

  13. Table 11.2b Carbon Dioxide Emissions From Energy Consumption...

    Energy Information Administration (EIA) (indexed site)

    ... minus denaturant. 4Distillate fuel oil, excluding biodiesel. RRevised. PPreliminary. ... Notes: * Data are estimates for carbon dioxide emissions from energy consumption. * See ...

  14. Table A13. Total Consumption of Offsite-Produced Energy for...

    Energy Information Administration (EIA) (indexed site)

    ... Statistics Division, Form EIA-846, '1991" "Manufacturing Energy Consumption Survey,' and Bureau of the Census, Industry" "Division, data files for the '1991 Annual Survey of

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

    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...

  16. Survey Consumption

    Annual Energy Outlook

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

  17. Regrowth-free single-mode quantum cascade lasers with power consumption below 1 W

    SciTech Connect

    Briggs, Ryan M. Frez, Clifford; Borgentun, Carl E.; Forouhar, Siamak

    2014-10-06

    We report on single-mode distributed-feedback quantum cascade lasers emitting at 4.8 μm with continuous-wave threshold power consumption as low as 0.76 W at 20 °C and 0.98 W at 50 °C. Following growth of the laser active region and semiconductor cladding layers by a single molecular beam epitaxy process, devices with 4-μm-wide ridges and vertical sidewall gratings were fabricated using plasma etching and standard dielectric and metal deposition processes. In terms of mode stability, output power, and efficiency, we show that lasers with 1-mm cavity length and high-reflectivity back-facet coatings can match the performance of buried heterostructure devices, but with the advantage of requiring only a single epitaxial growth step.

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

    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 88.0 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

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

    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 10.3 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

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

    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 6.8 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

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

    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 25.4 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

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

    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 23.6 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

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

    Buildings Energy Data Book

    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.

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

    Buildings Energy Data Book

    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

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

    Annual Energy Outlook

    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...

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

    Reports and Publications

    2012-01-01

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

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

    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

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Procedures | Department of Energy 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 the real-world energy performance of appliances and equipment as it compares with models and test procedures. The study looked to determine whether DOE and industry test procedures actually replicate real world conditions, whether performance degrades over time, and whether

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer Novel Ultra-Low-Energy Consumption Ultrasonic Clothes Dryer With support from the Energy Department's Building Technologies Office, Oak Ridge National Laboratory and GE Appliances are changing the way Americans do laundry with their ultrasonic drying technology that uses vibrations, not heat, to dry fabric. Oak Ridge National Lab's Ayyoub Momen demonstrates ultrasonic clothes dryer technology for David Danielson, Assistant

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

    SciTech Connect

    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.

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

    SciTech Connect

    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.

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

    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...

  13. ENERGY USE AND DOMESTIC HOT WATER CONSUMPTION Final Report

    Office of Scientific and Technical Information (OSTI)

    USE AND DOMESTIC HOT WATER CONSUMPTION Final Report Phase 1 Prepared for THE N E W YORK ... operating data on combined domestic hot water @HW) and heating systems to be used in ...

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

    SciTech Connect

    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.

  15. 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 vss071_rousseau_2012_o.pdf (1.07 MB) 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,

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Innovation Portal 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 CSU About This Technology Publications: PDF Document Publication Preliminary Market Report (334 KB) PDF Document Publication Anaerobic Digester Summary (251 KB) Technology Marketing SummaryThe enormous amount of biomass waste created by animal feeding operations releases methane, a valuable fuel

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

    Gasoline and Diesel Fuel Update

    Information Administration (EIA) What is an RSE? The estimates in the Commercial Buildings Energy Consumption Survey (CBECS) are based on data reported by representatives of a statistically-designed subset of the entire commercial building population in the United States, or a "sample." Consequently, the estimates differ from the true population values. However, the sample design permits us to estimate the sampling error in each value. It is important to understand: CBECS estimates

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

    SciTech Connect

    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.

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

    SciTech Connect

    Frank Peters

    2005-05-04

    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.

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

    Education - Teach & Learn

    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.

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

    SciTech Connect

    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.

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

    Reports and Publications

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

    SciTech Connect

    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.

  6. Fact #636: August 16, 2010 Transportation Energy Use by Mode | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy 6: August 16, 2010 Transportation Energy Use by Mode Fact #636: August 16, 2010 Transportation Energy Use by Mode Highway vehicles were responsible for 80.7% of all transportation energy use in 2008. Light vehicles make up the majority of highway fuel use. Transportation Energy Use by Mode, 2008 Bar graph showing the transportation energy use by mode (buses, rail, pipeline, water, air, medium/heavy trucks, and light vehicles) for 2008. For more detailed information, see supporting

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

    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...

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Impact of Extended Daylight Saving Time on National Energy Consumption Report to Congress Energy Policy Act of 2005, Section 110 October 2008 U.S. Department of Energy Energy Efficiency and Renewable Energy Acknowledgements The Department of Energy (DOE) acknowledges the important contributions made to this study by the principal investigators and primary authors-David B. Belzer, Ph.D (Pacific Northwest National Laboratory), Stanton W. Hadley (Oak Ridge National Laboratory), and Shih-Miao Chin,

  9. Household and environmental characteristics related to household energy-consumption change: A human ecological approach

    SciTech Connect

    Guerin, D.A.

    1988-01-01

    This study focused on the family household as an organism and on its interaction with the three environments of the human ecosystem (natural, behavioral, and constructed) as these influence energy consumption and energy-consumption change. A secondary statistical analysis of data from the US Department of Energy Residential Energy Consumption Surveys (RECS) was completed. The 1980 and 1983 RECS were used as the data base. Longitudinal data, including household, environmental, and energy-consumption measures, were available for over 800 households. The households were selected from a national sample of owner-occupied housing units surveyed in both years. Results showed a significant( p = <.05) relationship between the dependent-variable energy-consumption change and the predictor variables heating degree days, addition of insulation, addition of a wood-burning stove, year the housing unit was built, and weighted number of appliances. A significant (p = <.05) relationship was found between the criterion variable energy-consumption change and the discriminating variables of age of the head of the household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

  10. Impact of Extended Daylight Saving Time on national energy consumption: Report to Congress

    SciTech Connect

    None, None

    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.

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

    Gasoline and Diesel Fuel Update

    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...

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

    Gasoline and Diesel Fuel Update

    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...

  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. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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

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

    SciTech Connect

    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.

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

    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 ...

    OpenEI (Open Energy Information) [EERE & EIA]

    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. OSTIblog Articles in the energy consumption Topic | OSTI, US...

    Office of Scientific and Technical Information (OSTI)

    Our earth has an immense reservoir of geothermal energy that has helped to create this amazing landscape. Geothermal energy is the heat contained within the earth-a clean, ...

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

    SciTech Connect

    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.

  1. Energy Consumption: Costs and the Annual Efficiency Index

    SciTech Connect

    2004-01-01

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

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

    DOE PAGES [OSTI]

    Desroches, Louis-Benoit; Greenblatt, Jeffery B.; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah K.; Young, Scott J.; Donovan, Sally M.; et al

    2014-10-23

    There has been an increased in attention placed on the energy consumption of miscellaneous electronic loads in buildings by energy analysts and policymakers in recent years. The share of electricity consumed by consumer electronics in US households has increased in the last decade. Many devices, however, lack robust energy use data, making energy consumption estimates difficult and uncertain. Video game consoles are high-performance machines present in approximately half of all households and can consume a considerable amount of power. The precise usage of game consoles has significant uncertainty, however, leading to a wide range of recent national energy consumption estimates.more » We present here an analysis based on field-metered usage data, collected as part of a larger field metering study in the USA. This larger study collected data from 880 households in 2012 on a variety of devices, including 113 game consoles (the majority of which are Generation 7 consoles). From our metering, we find that although some consoles are left on nearly 24 h/day, the overall average usage is lower than many other studies have assumed, leading to a US national energy consumption estimate of 7.1 TWh in 2012. Nevertheless, there is an opportunity to reduce energy use with proper game console power management, as a substantial amount of game console usage occurs with the television turned off. The emergence of Generation 8 consoles may increase national energy consumption.« less

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

    SciTech Connect

    Desroches, Louis-Benoit; Greenblatt, Jeffery B.; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah K.; Young, Scott J.; Donovan, Sally M.; Ganeshalingam, Mohan

    2014-10-23

    There has been an increased in attention placed on the energy consumption of miscellaneous electronic loads in buildings by energy analysts and policymakers in recent years. The share of electricity consumed by consumer electronics in US households has increased in the last decade. Many devices, however, lack robust energy use data, making energy consumption estimates difficult and uncertain. Video game consoles are high-performance machines present in approximately half of all households and can consume a considerable amount of power. The precise usage of game consoles has significant uncertainty, however, leading to a wide range of recent national energy consumption estimates. We present here an analysis based on field-metered usage data, collected as part of a larger field metering study in the USA. This larger study collected data from 880 households in 2012 on a variety of devices, including 113 game consoles (the majority of which are Generation 7 consoles). From our metering, we find that although some consoles are left on nearly 24 h/day, the overall average usage is lower than many other studies have assumed, leading to a US national energy consumption estimate of 7.1 TWh in 2012. Nevertheless, there is an opportunity to reduce energy use with proper game console power management, as a substantial amount of game console usage occurs with the television turned off. The emergence of Generation 8 consoles may increase national energy consumption.

  4. An investigation of cointegration and causality between energy consumption and economic growth

    SciTech Connect

    Cheng, B.S.

    1995-12-31

    This paper reexamines the causality between energy consumption and economic growth with both bivariate and multivariate models by applying the recently developed methods of cointegration and Hsiao`s version of the Granger causality to transformed U.S. data for the period 1947-1990. The Phillips-Perron (PP) tests reveal that the original series are not stationary and, therefore, a first differencing is performed to secure stationarity. The study finds no causal linkages between energy consumption and economic growth. Energy and gross national product (GNP) each live a life of its own. The results of this article are consistent with some of the past studies that find no relationship between energy and GNP but are contrary to some other studies that find GNP unidirectionally causes energy consumption. Both the bivariate and trivariate models produce the similar results. We also find that there is no causal relationship between energy consumption and industrial production. The United States is basically a service-oriented economy and changes in energy consumption can cause little or no changes in GNP. In other words, an implementation of energy conservation policy may not impair economic growth. 27 refs., 5 tabs.

  5. Decentralized Energy Management System for Networked Microgrids in Grid-connected and Islanded Modes

    SciTech Connect

    Wang, Zhaoyu; Chen, Bokan; Wang, Jianhui; Kim, Jinho

    2015-06-17

    This paper proposes a decentralized energy management system (EMS) for the coordinated operation of networked Microgirds (MGs) in a distribution system. In the grid-connected mode, the distribution network operator (DNO) and each MG are considered as distinct entities with individual objectives to minimize their own operation costs. It is assumed that both dispatchable and renewable energy source (RES)-based distributed generators (DGs) exist in the distribution network and the networked MGs. In order to coordinate the operation of all entities, we apply a decentralized bi-level algorithm to solve the problem with the first level to conduct negotiations among all entities and the second level to update the non-converging penalties. In the islanded mode, the objective of each MG is to maintain a reliable power supply to its customers. In order to take into account the uncertainties of DG outputs and load consumption, we formulate the problems as two-stage stochastic programs. The first stage is to determine base generation setpoints based on the forecasts and the second stage is to adjust the generation outputs based on the realized scenarios. Case studies of a distribution system with networked MGs demonstrate the effectiveness of the proposed methodology in both grid-connected and islanded modes.

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

    SciTech Connect

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

    SciTech Connect

    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.

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

    SciTech Connect

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

    2004-02-01

    In 2001, DOE initiated a rulemaking process to consider whether to amend the existing energy efficiency standards for furnaces and boilers. A key factor in DOE's consideration of new standards is their cost-effectiveness to consumers. Determining cost-effectiveness requires an appropriate comparison of the additional first cost of energy efficiency design options with the savings in operating costs. This report describes calculation of equipment energy consumption (fuel and electricity) based on estimated conditions in a sample of homes that are representative of expected furnace and boiler installations. To represent actual houses with furnaces and boilers in the United States, we used a set of houses from the Residential Energy Consumption Survey of 1997 conducted by the Energy Information Administration. Our calculation methodology estimates the energy consumption of alternative (more-efficient) furnaces, if they were to be used in each house in place of the existing equipment. We developed the method of calculation described in this report for non-weatherized gas furnaces. We generalized the energy consumption calculation for this product class to the other furnace product classes. Fuel consumption calculations for boilers are similar to those for the other furnace product classes. The electricity calculations for boilers are simpler than for furnaces, because boilers do not provide thermal distribution for space cooling as furnaces often do.

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

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) The impact of increasing home size on energy demand RECS 2009 - Release date: April 19, 2012 Homes built since 1990 are on average 27% larger than homes built in earlier decades, a significant trend because most energy end-uses are correlated with the size of the home. As square footage increases, the burden on heating and cooling equipment rises, lighting requirements increase, and the likelihood that the household uses more than one refrigerator

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

    Buildings Energy Data Book

    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.

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

    Buildings Energy Data Book

    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.

  12. Assessment of Vehicle Sizing, Energy Consumption and Cost through...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Technologies Office (VTO) supports new technologies to increase energy security in the transportation sector at a critical time for global petroleum supply, demand, and pricing. ...

  13. Manufacturing Energy Consumption Survey (MECS) - Data - 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...

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

    Office of Environmental Management (EM)

    ... More Documents & Publications A new thermoelectric clothes dryer being developed by Oak ... Credit: Oak Ridge National Laboratory. Novel Energy-Efficient Thermoelectric Clothes Dryer ...

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

    SciTech Connect

    Fridley, David; Fridley, David G.; Zheng, Nina; Zhou, Nan

    2008-03-01

    Buildings represent an increasingly important component of China's total energy consumption mix. However, accurately assessing the total volume of energy consumed in buildings is difficult owing to deficiencies in China's statistical collection system and a lack of national surveys. Official statistics suggest that buildings account for about 19% of China's total energy consumption, while others estimate the proportion at 23%, rising to 30% over the next few years. In addition to operational energy, buildings embody the energy used in the in the mining, extraction, harvesting, processing, manufacturing and transport of building materials as well as the energy used in the construction and decommissioning of buildings. This embodied energy, along with a building's operational energy, constitutes the building's life-cycle energy and emissions footprint. This report first provides a review of international studies on commercial building life-cycle energy use from which data are derived to develop an assessment of Chinese commercial building life-cycle energy use, then examines in detail two cases for the development of office building operational energy consumption to 2020. Finally, the energy and emissions implications of the two cases are presented.

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

    Energy Information Administration (EIA) (indexed site)

    U.S. Energy Information 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 › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data

  17. 2016 Bioenergizeme Infographic Challenge: US Energy Consumption By Source

    Energy.gov [DOE]

    This infographic was created by students from High Tech Early College in Denver, CO, as part of the U.S. Department of Energy-BioenergizeME Infographic Challenge. The BioenergizeME Infographic...

  18. 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

  19. Federal Government’s Energy Consumption Lowest in Almost 40 Years

    Energy.gov [DOE]

    While the U.S. federal government continues to be one of the largest energy consumers in the world, its consumption has been steadily declining for nearly four decades, and now stands at less than 1 quadrillion British thermal units, the lowest since 1975, when data collection began. Find out how our Federal Energy Management Program helped agencies achieve this milestone.

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

    Reports and Publications

    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.

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

    Buildings Energy Data Book

    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%

  2. Analysis of changes in residential energy consumption, 1973-1980

    SciTech Connect

    King, M.J.; Belzer, D.B.; Callaway, J.M.; Adams, R.C.

    1982-09-01

    The progress of energy conservation in the residential sector since the 1973 to 1974 Arab oil embargo is assessed. To accomplish this goal, the reduction in residential energy use per household since 1973 is disaggregated into six possible factors. The factors considered were: (1) building shell efficiencies, (2) geographic distribution of households, (3) appliance efficiency, (4) size of dwelling units, (5) fuel switching, and (6) consumer attitudes. The most important factor identified was improved building shell efficiency, although the impact of appliance efficiency is growing rapidly. Due to data limitations, PNL was not able to quantify the effects of two factors (size of dwelling units and fuel switching) within the framework of this study. The total amount of the energy reduction explained ranged from 18 to 46% over the years 1974 to 1980.

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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

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

    SciTech Connect

    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 model—Global 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.

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

    Buildings Energy Data Book

    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

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

    SciTech Connect

    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.

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

    Gasoline and Diesel Fuel Update

    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 Updated Buildings Sector Appliance and Equipment Costs and Efficiency Released: November 9, 2016 EIA works with technology experts to project the cost and efficiency of future HVAC, lighting, and other major end-use equipment rather than developing residential and commercial technology projections in-house. These

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

    SciTech Connect

    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.

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

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) All Reports & Publications Search By: Go Pick a date range: From: To: Go Residential heating oil and propane prices at levels similar to last winter's low prices November 17, 2016 U.S. residential electricity prices decline for the first time in many years October 6, 2016 Total U.S. electricity sales projected to grow slowly as electricity intensity declines June 15, 2016 All 72 related articles › Residential Available formats PDF Primary

  11. Building Technologies Office: R&D Opportunities to Reduce Energy Consumption in Miscellaneous Electric Loads (MELs)

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Office: R&D Opportunities to Reduce Energy Consumption in Miscellaneous Electric Loads (MELs) Pat Phelan (patrick.phelan@ee.doe.gov) BTO Emerging Technologies June 3, 2016 2 Why Do We Care About MELs? Problem: Fraction of energy consumption due to MELs is rising as other building technologies become more efficient. DOE Quadrennial Technology Review (2015)  60% of remaining energy consumption after 2020 R&D targets are achieved, the majority of which are MELs. FY16 Activities: * Panel

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

    Energy.gov [DOE]

    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.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    Reports and Publications

    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.

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

    SciTech Connect

    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.

  16. Impact of Extended Daylight Saving Time on National Energy Consumption Report to Congress

    SciTech Connect

    Belzer, D. B.; Hadley, S. W.; Chin, S-M.

    2008-10-01

    The Energy Policy Act of 2005 (Pub. L. No. 109-58; EPAct 2005) amended the Uniform Time Act of 1966 (Pub. L. No. 89-387) to increase the portion of the year that is subject to Daylight Saving Time. (15 U.S.C. 260a note) EPAct 2005 extended the duration of Daylight Saving Time in the spring by changing its start date from the first Sunday in April to the second Sunday in March, and in the fall by changing its end date from the last Sunday in October to the first Sunday in November. (15 U.S.C. 260a note) EPAct 2005 also called for the Department of Energy to evaluate the impact of Extended Daylight Saving Time on energy consumption in the United States and to submit a report to Congress. (15 U.S.C. 260a note) This report presents the results of impacts of Extended Daylight Saving Time on the national energy consumption in the United States. The key findings are: (1) The total electricity savings of Extended Daylight Saving Time were about 1.3 Tera Watt-hour (TWh). This corresponds to 0.5 percent per each day of Extended Daylight Saving Time, or 0.03 percent of electricity consumption over the year. In reference, the total 2007 electricity consumption in the United States was 3,900 TWh. (2) In terms of national primary energy consumption, the electricity savings translate to a reduction of 17 Trillion Btu (TBtu) over the spring and fall Extended Daylight Saving Time periods, or roughly 0.02 percent of total U.S. energy consumption during 2007 of 101,000 TBtu. (3) During Extended Daylight Saving Time, electricity savings generally occurred over a three- to five-hour period in the evening with small increases in usage during the early-morning hours. On a daily percentage basis, electricity savings were slightly greater during the March (spring) extension of Extended Daylight Saving Time than the November (fall) extension. On a regional basis, some southern portions of the United States exhibited slightly smaller impacts of Extended Daylight Saving Time on energy savings

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

    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

  18. All Consumption Tables.vp

    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...

  19. ,"Total Fuel Oil Consumption

    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...

  20. ,"Total Fuel Oil Consumption

    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...

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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.

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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

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

    SciTech Connect

    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.''

  8. The Meritor Dual Mode Hybrid Powertrain CRADA | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    The Meritor Dual Mode Hybrid Powertrain CRADA The Meritor Dual Mode Hybrid Powertrain CRADA 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting vss072_malikoupoulos_2012_o.pdf (1.34 MB) More Documents & Publications The ArvinMeritor Dual Mode Hybrid Powertrain (DMHP): Opportunities and Potential for Systems Optimization The Meritor Dual Mode Hybrid Powertrain CRADA Autonomous Intelligent Hybrid Propulsion Systems

  9. Commute Mode Switching Impact Tool | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Commute Mode Switching Impact Tool Commute Mode Switching Impact Tool Excel tool helps agencies project the impact that changes in employee commute modes would have on its employee commute emissions. The tool is designed to be used at the worksite level and summed up at the agency level. The output of this tool can help agencies establish appropriate greenhouse gas reduction targets for major worksites or clusters of worksites in common metropolitan areas. Download the Commute Mode Switching

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

    SciTech Connect

    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.

  11. Nonresidential-building energy-consumption survey, 1979. Final report, Part II and Part III

    SciTech Connect

    Not Available

    1981-06-01

    The Utility Survey component of the Nonresidential Building Energy Consumption Survey was designed to provide data on the quantity and costs of energy consumed during 1979 by each building represented in the Building Survey data. To this end, 13,386 consumption and cost reporting forms were mailed to 1509 companies/organizations/agencies who supplied some type of energy to the 6222 buildings represented in the data from the earlier Building Survey. Part II, Section 2 discusses the step-by-step process of building the computer and manual files that were needed in order to conduct the Utility Survey. How the files were actually used in order to implement, control, and manage the Utility Survey was also discussed. Section 3 discusses the reporting forms and the accompanying instructional material used to collect data from the energy suppliers and Section 4 discusses the various operations for implementing the data collection task. The proessing of the data is described in Section 5 and the method of keeping the data confidential is described in Section 6. Part III, Section 7 presents several analyses of the costs associated with the Interim Nonresidential Building Energy Consumption Survey. Tables included reflect costs incurred through April 25, 1981. Administrative correspondence, record sheets, and explanatory notes are included in appendices. (MCW)

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

    Buildings Energy Data Book

    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%

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

    Buildings Energy Data Book

    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% |

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

    Buildings Energy Data Book

    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

  15. Fact #699: October 31, 2011 Transportation Energy Use by Mode and Fuel

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Type, 2009 | Department of Energy 9: October 31, 2011 Transportation Energy Use by Mode and Fuel Type, 2009 Fact #699: October 31, 2011 Transportation Energy Use by Mode and Fuel Type, 2009 Highway vehicles are responsible for most of the energy consumed by the transportation sector. Most of the fuel used in light vehicles is gasoline, while most of the fuel used in med/heavy trucks and buses is diesel. Transportation Energy Use by Mode and Fuel Type, 2009 Graph showing transporation energy

  16. An analysis of residential energy consumption in a temperate climate. Volume 2

    SciTech Connect

    Clark, Y.Y.; Vincent, W.

    1987-06-01

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

  17. Benchmarking the energy efficiency of Dutch industry: An assessment of the expected effect on energy consumption and CO2 emissions

    SciTech Connect

    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.

  18. Geothermal Heat Pumps - Cooling Mode | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Cooling Mode Geothermal Heat Pumps - Cooling Mode In summer, the fluid removes heat from the building and transfers it to the relatively cooler ground in order to cool the building. Cooling Mode Animated Slide (PowerPoint 493 KB) Note: To view this animation in PowerPoint use 'Slide Show' mode. Simple illustration showing the removal of heat from a building space and transfer to the ground to provide space cooling. Simple illustration showing the removal of heat from a building space and

  19. Geothermal Heat Pumps - Heating Mode | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Heating Mode Geothermal Heat Pumps - Heating Mode In winter, fluid passing through this vertical, closed loop system is warmed by the heat of the earth; this heat is then transferred to the building. Heating Mode Animated Slide (PowerPoint 493 KB) Note: To view this animation in PowerPoint use 'Slide Show' mode. Simple illustration showing the transfer of heat from the ground to a building space to provide space heating. Simple illustration showing the transfer of heat from the ground to a

  20. Table A17. Total First Use (formerly Primary Consumption) of Energy for All P

    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

  1. Table A32. Total Consumption of Offsite-Produced Energy for Heat, Power, and

    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" ," "," ","

  2. 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

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    BENEFITS A Motor Challeng NEW WATER BOOSTER PUMP SYSTEM REDUCES ENERGY CONSUMPTION BY 80 PERCENT AND INCREASES RELIABILITY Summary Due to major renovations at their Pontiac Operations Complex, General Motors (GM) needed to relocate the facility's city water booster pumping system. Using a systems approach and careful forethought, a highly efficient pumping system appropriate for current plant requirements was developed. Because of a sizeable decrease in the workforce and production at this

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

    SciTech Connect

    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.

  5. Impact of conservation measures on Pacific Northwest residential energy consumption. Final report

    SciTech Connect

    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.

  6. Department of Energy Announces Funding to Help Consumers Better Manage Their Energy Consumption

    Energy.gov [DOE]

    New Funding Opportunity Provides More Knowledge to Consumers about their Energy Use; Could Lead to Lower Energy Bills for Consumers

  7. 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.

  8. Table 2.2 Manufacturing Energy Consumption for All Purposes, 2006 (Trillion Btu )

    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)

  9. Whole house fenestration energy consumption as a function of variable window air leakage rates

    SciTech Connect

    Kehrli, D.

    1995-09-01

    Residential building energy consumption is dependent on many variables. The heat loss or gain attributable to fenestration products can be a significant portion of the whole building load. The fenestration industry is current developing and implementing new test methods and rating procedures to more accurately account for fenestration energy transfer. One of the tools being developed by the National Fenestration Rating Council (NFRC) is a PC-based program called Residential Fenestration (RESFEN) heating and cooling load use and costs. This paper will provide a review of the energy and cost impacts that variable air leakage rates of several types of window products can have on overall window energy usage as modeled in four typical building designs located in the US. The analysis was performed with the RESFEN software as part of an NFRC sensitivity study on this issue.

  10. A Method for Modeling Household Occupant Behavior to Simulate Residential Energy Consumption

    SciTech Connect

    Johnson, Brandon J; Starke, Michael R; Abdelaziz, Omar; Jackson, Roderick K; Tolbert, Leon M

    2014-01-01

    This paper presents a statistical method for modeling the behavior of household occupants to estimate residential energy consumption. Using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS), actions carried out by survey respondents are categorized into ten distinct activities. These activities are defined to correspond to the major energy consuming loads commonly found within the residential sector. Next, time varying minute resolution Markov chain based statistical models of different occupant types are developed. Using these behavioral models, individual occupants are simulated to show how an occupant interacts with the major residential energy consuming loads throughout the day. From these simulations, the minimum number of occupants, and consequently the minimum number of multiple occupant households, needing to be simulated to produce a statistically accurate representation of aggregate residential behavior can be determined. Finally, future work will involve the use of these occupant models along side residential load models to produce a high-resolution energy consumption profile and estimate the potential for demand response from residential loads.

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

    Annual Energy Outlook

    with the decomposition of energy changes into separate effects. 5Factors such as conservation effort and consumer responses to change in energy prices may also influence changes ...

  12. Computing intramolecular charge and energy transfer rates using optimal modes

    SciTech Connect

    Yang, Xunmo; Bittner, Eric R.

    2015-06-28

    In our recent work [X. Yang and E. R. Bittner, J. Phys. Chem. A 118, 5196 (2014)], we showed how to construct a reduced set of nuclear motions that capture the coupling between electronic and nuclear degrees of freedom over the course of an electronic transition. We construct these modes, referred to as “Lanczos modes,” by applying a search algorithm to find linear combinations of vibrational normal modes that optimize the electronic/nuclear coupling operator. Here, we analyze the irreducible representations of the dominant contributions of these modes and find that for the cases considered here, these belong to totally symmetric irreducible representations of the donor and acceptor moieties. Upon investigating the molecular geometry changes following the transition, we propose that the electronic transition process can be broken into two steps, in the agreement of Born-Oppenheimer approximation: a fast excitation transfer occurs, facilitated by the “primary Lanczos mode,” followed by slow nuclear relaxation on the final electronic diabatic surface.

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

    Buildings Energy Data Book

    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%

  14. S U M M A R I E S U.S. Energy Information Administration | State Energy Data 2014: Consumption

    Gasoline and Diesel Fuel Update

    3 Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2014 (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 Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,958.2 575.9 651.5 497.4 1,724.9 431.4 277.0 -475.0 0.0 378.7 262.4 848.4 468.7 Alaska 603.1 18.2 329.6 233.6 581.4 0.0 21.8 0.0

  15. Direct and indirect effect of changes in family structure and lifestyle upon energy consumption, 1950-1080

    SciTech Connect

    Stever, C.J.

    1985-01-01

    This research project examines both the direct and indirect influence of changes in family structure and lifestyle dimensions upon residential energy consumption patterns from 1950 to 1980. These relationships are investigated on a macro level using three national energy surveys administered from 1974 to 1980 and the Census Bureau and other government sources of documenting changes in social characteristics and energy consumption levels over thirty years. Stage I looks at changes in residential consumption from 1950 to 1980 and conservation behavior from 1965 to 1980. The objective of Stage II is to identify those family structure and lifestyle characteristics that constrain conservation measures in which a household engages. Stage III examines the commonly held assumption that investment in conservation equipment will result in reduced consumption. Stage IV explores the potential influence that changes in structural and lifestyle characteristics of householders may have upon average consumption levels from 1950 to 1980. The primary implications of this study are: (1) in order to obtain a complete picture of the current energy situation, it is necessary to examine consumption and conservation behavior both before and after the 1973 oil embargo, and (2) changes in social structural and lifestyle of households over time appear to have contributed as much, if not more, to reduce consumption in the late 1970s as did conscious conservation efforts by householders.

  16. Table A14. Total First Use (formerly Primary Consumption) of Energy for All P

    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"," ","

  17. Table A30. Total Primary Consumption of Energy for All Purposes by Value of

    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"," "," "," "," "," ","

  18. Table A33. Total Primary Consumption of Energy for All Purposes by Employment

    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

  19. Table A9. Total Primary Consumption of Energy for All Purposes by Census

    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

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

    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

  1. Buildings Energy Data Book: 8.1 Buildings Sector Water Consumption

    Buildings Energy Data Book

    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

  2. DOE/EIA-0555(95)/2 Energy Consumption Series Measuring Energy...

    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...

  3. Energy and frequency dependence of the alpha particle redistribution produced by internal kink modes

    SciTech Connect

    Farengo, R.; Ferrari, H. E.; Garcia-Martinez, P. L.; Firpo, M.-C.; Ettoumi, W.; Lifschitz, A. F.

    2014-08-15

    The redistribution of alpha particles due to internal kink modes is studied. The exact particle trajectories in the total fields, equilibrium plus perturbation, are calculated. The equilibrium has circular cross section and the plasma parameters are similar to those expected in ITER. The alpha particles are initially distributed according to a slowing down distribution function and have energies between 18?keV and 3.5?MeV. The (1, 1), (2, 2), and (2, 1) modes are included and the effect of changing their amplitude and frequency is studied. When only the (1, 1) mode is included, the spreading of high energy (E?1?MeV) alpha particles increases slowly with the energy and mode frequency. At lower energies, the redistribution is more sensitive to the mode frequency and particle energy. When a (2, 1) mode is added, the spreading increases significantly and particles can reach the edge of the plasma. Trapped particles are the most affected and the redistribution parameter can have maxima above 1?MeV, depending on the mode frequency. These results can have important implications for ash removal.

  4. U.S. primary energy consumption by source and sector, 2015

    Energy Information Administration (EIA) (indexed site)

    33 35 24 9 53 100 14 9 <1 91 28 72 23 4 1 92 3 5 44 39 7 11 76 1 9 1 26 37 13 22 petroleum 1 35.4 (36%) sector natural gas 2 28.3 (29%) coal 3 15.7 (16%) renewable energy 4 9.7 (10%) nuclear electric power 8.3 (9%) source percent of sources percent of sectors industrial 5 21.2 (22%) residential and commercial 6 10.6 (11%) electric power 7 38.2 (39%) 15 transportation 27.6 (28%) U.S. primary energy consumption by source and sector, 2015 Total = 97.7 quadrillion British thermal units (Btu) 1

  5. Plant Wide Assessment of Energy Usage Utilizing SitEModelling as a Tool for Optimizing Energy Consumption

    SciTech Connect

    Ralf Janowsky, Ph.D.; Tracey Mole, Ph.D.

    2007-12-31

    The Evonik Degussa Corporation is the global market leader in the specialty chemicals industry. Innovative products and system solutions make an indispensable contribution to our customers' success. We refer to this as "creating essentials". In fiscal 2004, Degussa's 45,000 employees worldwide generated sales of 11.2 billion euros and operating profits (EBIT) of 965 million euros. Evonik Degussa Corporation has performed a plant wide energy usage assessment at the Mapleton, Illinois facility, which consumed 1,182,330 MMBTU in 2003. The purpose of this study was to identify opportunities for improvement regarding the plant’s utility requirements specific to their operation. The production is based mainly on natural gas usage for steam, process heating and hydrogen production. The current high price for natural gas in the US is not very competitive compared to other countries. Therefore, all efforts must be taken to minimize the utility consumption in order to maximize market position and minimize fixed cost increases due to the rising costs of energy. The main objective of this plant wide assessment was to use a methodology called Site Energy Modelling (SitE Modelling) to identify areas of potential improvement for energy savings, either in implementing a single process change or in changing the way different processes interact with each other. The overall goal was to achieve energy savings of more than 10% compared to the 2003 energy figures of the Mapleton site. The final savings breakdown is provided below: - 4.1% savings for steam generation and delivery These savings were accomplished through better control schemes, more constant and optimized loading of the boilers and increased boiler efficiency through an advanced control schemes. - 1.6% savings for plant chemical processing These saving were accomplished through optimized processing heating efficiency and batch recipes, as well as an optimized production schedule to help equalize the boiler load (e

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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% |

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

    Buildings Energy Data Book

    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

  9. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book

    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% |

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

    Gasoline and Diesel Fuel Update

    5 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

  11. Zero Net Energy Myths and Modes of Thought

    SciTech Connect

    Rajkovich, Nicholas B.; Diamond, Rick; Burke, Bill

    2010-09-20

    The U.S. Department of Energy (DOE), the California Public Utilities Commission (CPUC), and a number of professional organizations have established a target of zero net energy (ZNE) in buildings by 2030. One definition of ZNE is a building with greatly reduced needs for energy through efficiency gains with the balance of energy needs supplied by renewable technologies. The push to ZNE is a response to research indicating that atmospheric concentrations of greenhouse gases have increased sharply since the eighteenth century, resulting in a gradual warming of the Earth?s climate. A review of ZNE policies reveals that the organizations involved frame the ZNE issue in diverse ways, resulting in a wide variety of myths and a divergent set of epistemologies. With federal and state money poised to promote ZNE, it is timely to investigate how epistemologies, meaning a belief system by which we take facts and convert them into knowledge upon which to take action, and the propagation of myths might affect the outcome of a ZNE program. This paper outlines myths commonly discussed in the energy efficiency and renewable energy communities related to ZNE and describes how each myth is a different way of expressing"the truth." The paper continues by reviewing a number of epistemologies common to energy planning, and concludes that the organizations involved in ZNE should work together to create a"collaborative rationality" for ZNE. Through this collaborative framework it is argued that we may be able to achieve the ZNE and greenhouse gas mitigation targets.

  12. Reducing Idle Power Consumption in Office Spaces Saves U.S. Navy in Energy Costs (Fact Sheet), NREL (National Renewable Energy Laboratory)

    U.S. Department of Energy (DOE) - all 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

  13. TRANSPORTATION ENERGY FUTURES - Combining Strategies for Deep Reductions in Energy Consumption and GHG Emissions

    SciTech Connect

    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.

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

    Gasoline and Diesel Fuel Update

    Destination State ____________________________________________________________________________________________________ 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2013 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic Coal Distribution, by Destination State, 1st Quarter 2013 Destination: Alabama (thousand short tons) Coal Origin State

  15. Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach

    SciTech Connect

    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

  16. Energy-consumption and carbon-emission analysis of vehicle and component manufacturing.

    SciTech Connect

    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

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

    Buildings Energy Data Book

    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

  18. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book

    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

  19. Transportation Energy Futures- Combining Strategies for Deep Reductions in Energy Consumption and GHG Emissions

    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.

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

    Buildings Energy Data Book

    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

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

    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

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

    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

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

    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

  4. Extracting Operating Modes from Building Electrical Load Data: Preprint

    SciTech Connect

    Frank, S.; Polese, L. G.; Rader, E.; Sheppy, M.; Smith, J.

    2012-01-01

    Empirical techniques for characterizing electrical energy use now play a key role in reducing electricity consumption, particularly miscellaneous electrical loads, in buildings. Identifying device operating modes (mode extraction) creates a better understanding of both device and system behaviors. Using clustering to extract operating modes from electrical load data can provide valuable insights into device behavior and identify opportunities for energy savings. We present a fast and effective heuristic clustering method to identify and extract operating modes in electrical load data.

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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

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

    Buildings Energy Data Book

    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)

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

    Buildings Energy Data Book

    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%

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

    Buildings Energy Data Book

    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%

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

    Buildings Energy Data Book

    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%

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

    Buildings Energy Data Book

    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%

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

    Buildings Energy Data Book

    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%

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

    Buildings Energy Data Book

    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%

  16. An Analysis Framework for Investigating the Trade-offs Between System Performance and Energy Consumption in a Heterogeneous Computing Environment

    SciTech Connect

    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.

  17. Evaluating the Relationship between the Population Trends, Prices, Heat Waves, and the Demands of Energy Consumption in Cities

    SciTech Connect

    Fu, Katherine; Allen, Melissa; Archibald, Richard

    2015-11-18

    The demands of energy consumption have been projected as a key factor that affects an economy at the city, national, and international level. Contributions to total U.S. greenhouse gas emissions in 2012 by various urban sectors include electricity (31%), transportation (28%), industry (20%), agriculture (10%), and commercial and residential (10%). Moreover, the heavy demands of energy consumption in the cities by residents, commercial businesses, industries, and transportation are important for maintaining and sustaining sufficient economic growth. The purpose of this study is to investigate the relationships between population trends, historical energy consumptions, the changes of average electricity price, average annual temperature, and extreme weather events for three selected cities: New York, Chicago, and Los Angeles. These cities are exemplary of, metropolitan areas in the East, Middle, and the Western regions of the U.S. Here, we find that the total energy consumptions of New York, Chicago, and Los Angeles are influenced to various degrees by changes in population, temperature and the average price of electricity and that only one city, Los Angeles, does price significantly affect electricity use. Our finding has implications for policy making, suggesting that each city s climate, size and general economic priorities must be considered in developing climate change mitigation strategies and incentives.

  18. Evaluating the Relationship between the Population Trends, Prices, Heat Waves, and the Demands of Energy Consumption in Cities

    DOE PAGES [OSTI]

    Fu, Katherine; Allen, Melissa; Archibald, Richard

    2015-11-18

    The demands of energy consumption have been projected as a key factor that affects an economy at the city, national, and international level. Contributions to total U.S. greenhouse gas emissions in 2012 by various urban sectors include electricity (31%), transportation (28%), industry (20%), agriculture (10%), and commercial and residential (10%). Moreover, the heavy demands of energy consumption in the cities by residents, commercial businesses, industries, and transportation are important for maintaining and sustaining sufficient economic growth. The purpose of this study is to investigate the relationships between population trends, historical energy consumptions, the changes of average electricity price, average annualmore » temperature, and extreme weather events for three selected cities: New York, Chicago, and Los Angeles. These cities are exemplary of, metropolitan areas in the East, Middle, and the Western regions of the U.S. Here, we find that the total energy consumptions of New York, Chicago, and Los Angeles are influenced to various degrees by changes in population, temperature and the average price of electricity and that only one city, Los Angeles, does price significantly affect electricity use. Our finding has implications for policy making, suggesting that each city s climate, size and general economic priorities must be considered in developing climate change mitigation strategies and incentives.« less

  19. Higher-order mode analysis at the BNL Energy Recovery Linac

    SciTech Connect

    Johnson, E.C.; Ben-Zvi, I.; Hahn, H.; Hammons, L.; Xu, W.

    2011-08-03

    Understanding the prevalence and structure of higher-order modes (HOMs) in accelerator cavities is critical because their excitation can result in problematic single bunch and multi-bunch effects. Particularly hazardous are dipole modes, which are more easily excited due to their linear field nature near the beam center. During a recent superconducting test on the energy recovery linac (ERL) cavity at Brookhaven National Laboratory (BNL), 8 of the highest-Q HOMs were measured for the first time. In conjunction with analysis of CST Microwave Studio simulation results for the ERL model, one of these modes was further studied in the copper prototype ERL cavity. A method of identifying HOMs utilizing existing holes drilled in copper cavity cells was developed and used to conclude that the observed high-Q mode was a quadrupole.

  20. Comparison of energy consumption between displacement and mixing ventilation systems for different U.S. buildings and climates

    SciTech Connect

    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.

  1. A nonlinear multi-mode wideband piezoelectric vibration-based energy harvester using compliant orthoplanar spring

    SciTech Connect

    Dhote, Sharvari Zu, Jean; Zhu, Yang

    2015-04-20

    In this paper, a nonlinear wideband multi-mode piezoelectric vibration-based energy harvester (PVEH) is proposed based on a compliant orthoplanar spring (COPS), which has an advantage of providing multiple vibration modes at relatively low frequencies. The PVEH is made of a tri-leg COPS flexible structure, where three fixed-guided beams are capable of generating strong nonlinear oscillations under certain base excitation. A prototype harvester was fabricated and investigated through both finite-element analysis and experiments. The frequency response shows multiple resonance which corresponds to a hardening type of nonlinear resonance. By adding masses at different locations on the COPS structure, the first three vibration modes are brought close to each other, where the three hardening nonlinear resonances provide a wide bandwidth for the PVEH. The proposed PVEH has enhanced performance of the energy harvester in terms of a wide frequency bandwidth and a high-voltage output under base excitations.

  2. The potential for reducing urban air temperatures and energy consumption through vegetative cooling

    SciTech Connect

    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.

  3. On The Anomalous Fast Ion Energy Diffusion in Toroidal Plasmas Due to Cavity Modes

    SciTech Connect

    N.N. Gorelenkov, N.J. Fisch and E. Fredrickson

    2010-03-09

    An enormous wave-particle diffusion coefficient along paths suitable for alpha channeling had been deduced in mode converted ion Bernstein wave experiments on Tokamak Fusion Test Reactor (TFTR) the only plausible explanation advanced for such a large diffusion coefficient was the excitation of internal cavity modes which induce particle diffusion along identical diffusion paths, but at much higher rates. Although such a mode was conjectured, it was never observed. However, recent detailed observations of high frequency compressional Alfven eigenmodes (CAEs) on the National Spherical torus Experiment (NSTX) indirectly support the existence of the related conjectured modes on TFTR. The eigenmodes responsible for the high frequency magnetic activity can be identified as CAEs through the polarization of the observed magnetic field oscillations in NSTX and through a comparison with the theoretically derived freuency dispersion relation. Here, we show how these recent observations of high frequency CAEs lend support to this explanation of the long-standing puzzle of anomalous fast ion energy diffusion on TFTR. The support of the conjecure that these internal modes could have caused the remarkable ion energy diffusion on TFTR carries significant and favorable implications for the possibilities in achieving the alpha channeling effect with small injected power in a tokamak reactor.

  4. Final Technical Report - Advanced Optical Sensors to Minimize Energy Consumption in Polymer Extrusion Processes

    SciTech Connect

    Susan J. Foulk

    2012-07-24

    significantly reduce energy consumption. Also, because blending and dispersion of additives and components in the final product could be continuously verified, we believe that, in many cases, intermediate compounding steps could be eliminated (saving even more time and energy).

  5. Intermediate energy electron impact excitation of composite vibrational modes in phenol

    SciTech Connect

    Neves, R. F. C.; Jones, D. B.; Lopes, M. C. A.; Nixon, K. L.; Oliveira, E. M. de; Lima, M. A. P.; Costa, R. F. da; Varella, M. T. do N.; Bettega, M. H. F.; Silva, G. B. da; Brunger, M. J.

    2015-05-21

    We report differential cross section results from an experimental investigation into the electron impact excitation of a number of the low-lying composite (unresolved) vibrational modes in phenol (C{sub 6}H{sub 5}OH). The measurements were carried out at incident electron energies in the range 15–40 eV and for scattered-electron angles in the range 10–90°. The energy resolution of those measurements was typically ∼80 meV. Calculations, using the GAMESS code, were also undertaken with a B3LYP/aug-cc-pVDZ level model chemistry, in order to enable us to assign vibrational modes to the features observed in our energy loss spectra. To the best of our knowledge, the present cross sections are the first to be reported for vibrational excitation of the C{sub 6}H{sub 5}OH molecule by electron impact.

  6. Table 1.6 State-Level Energy Consumption, Expenditure, and Price...

    Energy Information Administration (EIA) (indexed site)

    ... 4The U.S. consumption value in this table does not match those in Tables 1.1 and 1.3 because it: 1) does not include biodiesel; and 2) is the sum of State ...

  7. Detecting the relationship between economic growth, CO{sub 2} and energy consumption by using panel data approach

    SciTech Connect

    Sayed, Ahmed R. M. Al; Isa, Zaidi

    2015-09-25

    Many scholars have shown their interest into the relationship between energy consumption (EC), gross domestic product (GDP) and emissions. The main objective of this study is to investigate the relationship between GDP, EC and CO{sub 2} within multivariate model by using panel data method in Asian countries; Korea, Malaysia, Japan and China for annually data during the period 1960 to 2010. The main finding shows that CO{sub 2} can be explained more than 86% & 78% by EC and GDP in each of cross section model and period model respectively. As a result of that, CO{sub 2} emissions should be considered as an important factor in energy consumption and gross domestic product by policy maker.

  8. Regional overview of Latin American and Caribbean energy production, consumption, and future growth. Report series No. 1

    SciTech Connect

    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.

  9. Impact of inward turbulence spreading on energy loss of edge-localized modes

    SciTech Connect

    Ma, C. H.; Xi, P. W.; Xu, X. Q.; Xia, T. Y.; Snyder, P. B.; Kim, S. S.

    2015-05-15

    Nonlinear two-fluid and gyrofluid simulations show that an edge localized modes (ELM) crash has two phases: fast initial crash of ion temperature perturbation on the Alfvén time scale and slow turbulence spreading. The turbulence transport phase is a slow encroachment of electron temperature perturbation due to the ELM event into pedestal region. Because of the inward turbulence spreading effect, the energy loss of an ELM decreases when density pedestal height increases. The Landau resonance yields the different cross phase-shift of ions and electrons. A 3 + 1 gyro-Landau-fluid model is implemented in BOUT++ framework. The gyrofluid simulations show that the kinetic effects have stabilizing effects on the ideal ballooning mode and the energy loss increases with the pedestal height.

  10. FINAL REPORT: Reduction in Energy Consumption and Variability in Steel Foundry Operations

    SciTech Connect

    F. Peters

    2005-05-24

    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.

  11. Table 2.9 Commercial Buildings Consumption by Energy Source, Selected Years, 1979-2003 (Trillion Btu)

    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]

  12. ,"Total Natural Gas Consumption

    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...

  13. Printing and papermaking: Energy consumption and conservation. (Latest citations from the Paper and Board, Printing, and Packaging Industries Research Associations database). Published Search

    SciTech Connect

    Not Available

    1993-06-01

    The bibliography contains citations concerning energy consumption and energy efficient design innovations for papermaking and printing equipment and operations. Economic analysis of energy utilization, computer controlled operations, energy efficient driers for papermaking and printing processes, ventilation systems, and heat recovery technology are included. (Contains a minimum of 181 citations and includes a subject term index and title list.)

  14. Modeling plant-level industrial energy demand with the Manufacturing Energy Consumption Survey (MECS) database and the Longitudinal Research Database (LRD)

    SciTech Connect

    Boyd, G.A.; Neifer, M.J.; Ross, M.H.

    1992-08-01

    This report discusses Phase 1 of a project to help the US Department of Energy determine the applicability of the Manufacturing Energy Consumption Survey (MECS) database and the Longitudinal Research Database (LRD) for industrial modeling and analysis. Research was conducted at the US Bureau of the Census; disclosure of the MECS/LRD data used as a basis for this report was subject to the Bureau`s confidentiality restriction. The project is designed to examine the plant-level energy behavior of energy-intensive industries. In Phase 1, six industries at the four-digit standard industrial classification (SIC) level were studied. The utility of analyzing four-digit SIC samples at the plant level is mixed, but the plant-level structure of the MECS/LRD makes analyzing samples disaggregated below the four-digit level feasible, particularly when the MECS/LRD data are combined with trade association or other external data. When external data are used, the validity of using value of shipments as a measure of output for analyzing energy use can also be examined. Phase 1 results indicate that technical efficiency and the distribution of energy intensities vary significantly at the plant level. They also show that the six industries exhibit monopsony-like behavior; that is, energy prices vary significantly at the plant level, with lower prices being correlated with a higher level of energy consumption. Finally, they show to what degree selected energy-intensive products are manufactured outside their primary industry.

  15. Table 2.5 Household Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005

    Energy Information Administration (EIA) (indexed site)

    5 Household 1 Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005 Year Space Heating Air Conditioning Water Heating Appliances, 2 Electronics, and Lighting Natural Gas Elec- tricity 3 Fuel Oil 4 LPG 5 Total Electricity 3 Natural Gas Elec- tricity 3 Fuel Oil 4 LPG 5 Total Natural Gas Elec- tricity 3 LPG 5 Total Consumption (quadrillion Btu)<//td> 1978 4.26 0.40 2.05 0.23 6.94 0.31 1.04 0.29 0.14 0.06 1.53 0.28 1.46 0.03 1.77 1980 3.41 .27 1.30 .23 5.21 .36 1.15 .30 .22

  16. Table 2.3 Manufacturing Energy Consumption for Heat, Power, and Electricity Generation by End Use, 2006

    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

  17. STOMP Sparse Vegetation Evapotranspiration Model for the Water-Air-Energy Operational Mode

    SciTech Connect

    Ward, Anderson L.; White, Mark D.; Freeman, Eugene J.; Zhang, Z. F.

    2005-09-15

    The Water-Air-Energy (WAE) Operational Mode of the Subsurface Transport Over Multiple Phases (STOMP) numerical simulator solves the coupled conservation equations for water mass, air mass, and thermal energy in multiple dimensions. This addendum describes the theory, input file formatting, and application of a soil-vegetation-atmosphere transfer (SVAT) scheme for STOMP that is based on a sparse vegetation evapotranspiration model. The SVAT scheme is implemented as a boundary condition on the upper surface of the computational domain and has capabilities for simulating evaporation from bare surfaces as well as evapotranspiration from sparsely vegetated surfaces populated with single or multiple plant species in response to meteorological forcings. With this extension, the model calculates water mass, air mass and thermal energy across a boundary surface in addition to root-water transport between the subsurface and atmosphere. This mode represents the barrier extension of the WAE mode and is designated as STOMP-WAE-B. Input for STOMP-WAE-B is specified via three input cards and include: atmospheric conditions through the Atmospheric Conditions Card; time-invariant plant species data through the Plant Properties Card; and time varying plant species data through the Boundary Conditions Card. Two optional cards, the Observed Data and UCODE Control Cards allow use of STOMP-WAE with UCODE in an inverse mode to estimate model parameters. STOMP-WAE was validated by solving a number of test problems from the literature that included experimental observations as well as analytical or numerical solutions. Several of the UNSAT-H verification problems are included along with a benchmark simulation derived from a recently published intercode comparison for barrier design tools. Results show that STOMP is able to meet, and in most cases, exceed performance of other commonly used simulation codes without having to resort to may of their simplifying assumptions. Use of the fully

  18. Dynamical dipole mode in fusion reactions at 16 MeV/nucleon and beam energy dependence

    SciTech Connect

    Pierroutsakou, D.; Boiano, A.; Romoli, M.; Martin, B.; Inglima, G.; Commara, M. La; Parascandolo, C.; Sandoli, M.; Agodi, C.; Alba, R.; Colonna, M.; Coniglione, R.; Zoppo, A. Del; Maiolino, C.; Piattelli, P.; Santonocito, D.; Sapienza, P.; Baran, V.; Cardella, G.; Filippo, E. De

    2009-08-15

    High-energy {gamma} rays and light charged particles from the {sup 36}Ar+{sup 96}Zr and {sup 40}Ar+{sup 92}Zr reactions at E{sub lab}=16 and 15.1 MeV/nucleon, respectively, were measured in coincidence with evaporation residues by means of the MEDEA multidetector array coupled to four parallel plate avalanche counters. The aim of this experiment was to investigate the prompt {gamma} radiation, emitted in the decay of the dynamical dipole mode, in the {approx}16 MeV/nucleon energy range and to map its beam energy dependence, comparing the present results with our previous ones obtained at lower energies. The studied reactions populate, through entrance channels having different charge asymmetries, a compound nucleus in the region of Ce under the same conditions of excitation energy and spin. Light charged particle energy spectra were used to pin down the average excitation energy and the average mass of the system. By studying the {gamma}-ray spectra of the charge symmetric reaction {sup 40}Ar+{sup 92}Zr, the statistical giant dipole resonance (GDR) parameters and angular distribution were extracted, and a comparison of the linearized 90 deg. {gamma}-ray spectra of the two reactions revealed a 12% extra yield in the GDR energy region for the more charge asymmetric system. The center-of-mass angular distribution data of this extra {gamma} yield, compatible with a dipole oscillating along the symmetry axis of the dinuclear system, support its dynamical nature. The experimental findings are compared with theoretical predictions performed within a Boltzmann-Nordheim-Vlasov transport model and based on a collective bremsstrahlung analysis of the entrance channel reaction dynamics. An interesting sensitivity to the symmetry term of the equation of state and to in-medium effects on nucleon-nucleon (nn) cross sections is finally discussed.

  19. The effect of output-input isolation on the scaling and energy consumption of all-spin logic devices

    SciTech Connect

    Hu, Jiaxi; Haratipour, Nazila; Koester, Steven J.

    2015-05-07

    All-spin logic (ASL) is a novel approach for digital logic applications wherein spin is used as the state variable instead of charge. One of the challenges in realizing a practical ASL system is the need to ensure non-reciprocity, meaning the information flows from input to output, not vice versa. One approach described previously, is to introduce an asymmetric ground contact, and while this approach was shown to be effective, it remains unclear as to the optimal approach for achieving non-reciprocity in ASL. In this study, we quantitatively analyze techniques to achieve non-reciprocity in ASL devices, and we specifically compare the effect of using asymmetric ground position and dipole-coupled output/input isolation. For this analysis, we simulate the switching dynamics of multiple-stage logic devices with FePt and FePd perpendicular magnetic anisotropy materials using a combination of a matrix-based spin circuit model coupled to the Landau–Lifshitz–Gilbert equation. The dipole field is included in this model and can act as both a desirable means of coupling magnets and a source of noise. The dynamic energy consumption has been calculated for these schemes, as a function of input/output magnet separation, and the results show that using a scheme that electrically isolates logic stages produces superior non-reciprocity, thus allowing both improved scaling and reduced energy consumption.

  20. Residential energy consumption across different population groups: Comparative analysis for Latino and non-Latino households in U.S.A.

    SciTech Connect

    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.

  1. Buildings Energy Data Book: 8.2 Residential Sector Water Consumption

    Buildings Energy Data Book

    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

  2. Pulping: Energy consumption and conservation. (Latest citations from the Paper and Board, Printing, and Packaging Industries Research Associations database). Published Search

    SciTech Connect

    Not Available

    1992-12-01

    The bibliography contains citations concerning energy saving processes, machinery, and plants applicable to the pulping industry. Topics include water removal and wet pressing, small power steam and electricity generation, mathematical modeling for determining energy consumption, mechanical pulping energy reduction techniques, fiber pretreatment, cooking methods and equipment, and heat recovery processes. Energy efficient pulp mill operation management is included. (Contains a minimum of 145 citations and includes a subject term index and title list.)

  3. Pulping: Energy consumption and conservation. (Latest citations from the Paper and Board, Printing, and Packaging Industries Research Associations database). Published Search

    SciTech Connect

    Not Available

    1994-04-01

    The bibliography contains citations concerning energy saving processes, machinery, and plants applicable to the pulping industry. Topics include water removal and wet pressing, small power steam and electricity generation, mathematical modeling for determining energy consumption, mechanical pulping energy reduction techniques, fiber pretreatment, cooking methods and equipment, and heat recovery processes. Energy efficient pulp mill operation management is included. (Contains a minimum of 156 citations and includes a subject term index and title list.)

  4. Table 2.4 Household Energy Consumption by Census Region, Selected...

    Energy Information Administration (EIA) (indexed site)

    ... NANot available. 2See Appendix C for map of Census regions. Notes: * Data are estimates, and are for major energy sources only. * For years not shown, there are no data available. ...

  5. Assessment of Vehicle Sizing, Energy Consumption and Cost Through Large Scale Simulation of Advanced Vehicle Technologies

    SciTech Connect

    Moawad, Ayman; Kim, Namdoo; Shidore, Neeraj; Rousseau, Aymeric

    2016-01-01

    The U.S. Department of Energy (DOE) Vehicle Technologies Office (VTO) has been developing more energy-efficient and environmentally friendly highway transportation technologies that will enable America to use less petroleum. The long-term aim is to develop "leapfrog" technologies that will provide Americans with greater freedom of mobility and energy security, while lowering costs and reducing impacts on the environment. This report reviews the results of the DOE VTO. It gives an assessment of the fuel and light-duty vehicle technologies that are most likely to be established, developed, and eventually commercialized during the next 30 years (up to 2045). Because of the rapid evolution of component technologies, this study is performed every two years to continuously update the results based on the latest state-of-the-art technologies.

  6. Heavy atom vibrational modes and low-energy vibrational autodetachment in nitromethane anions

    SciTech Connect

    Thompson, Michael C.; Weber, J. Mathias; Baraban, Joshua H.; Matthews, Devin A.; Stanton, John F.

    2015-06-21

    We report infrared spectra of nitromethane anion, CH{sub 3}NO{sub 2}{sup −}, in the region 700–2150 cm{sup −1}, obtained by Ar predissociation spectroscopy and electron detachment spectroscopy. The data are interpreted in the framework of second-order vibrational perturbation theory based on coupled-cluster electronic structure calculations. The modes in the spectroscopic region studied here are mainly based on vibrations involving the heavier atoms; this work complements earlier studies on nitromethane anion that focused on the CH stretching region of the spectrum. Electron detachment begins at photon energies far below the adiabatic electron affinity due to thermal population of excited vibrational states.

  7. Nonlinear couplings of R-modes: Energy transfer and saturation amplitudes at realistic timescales

    SciTech Connect

    Brink, Jeandrew; Teukolsky, Saul A; Wasserman, Ira

    2004-12-15

    Nonlinear interactions among the inertial modes of a rotating fluid can be described by a network of coupled oscillators. We use such a description for an incompressible fluid to study the development of the r-mode instability of rotating neutron stars. A previous hydrodynamical simulation of the r-mode reported the catastrophic decay of large amplitude r-modes. We explain the dynamics and timescale of this decay analytically by means of a single three mode coupling. We argue that at realistic driving and damping rates such large amplitudes will never actually be reached. By numerically integrating a network of nearly 5000 coupled modes, we find that the linear growth of the r-mode ceases before it reaches an amplitude of around 10{sup -4}. The lowest parametric instability thresholds for the r-mode are calculated and it is found that the r-mode becomes unstable to modes with 13modes up to n=30 are included. Using the network of coupled oscillators, integration times of 10{sup 6} rotational periods are attainable for realistic values of driving and damping rates. Complicated dynamics of the modal amplitudes are observed. The initial development is governed by the three mode coupling with the lowest parametric instability. Subsequently, a large number of modes are excited, which greatly decreases the linear growth rate of the r-mode.

  8. The impact of summer heat islands on cooling energy consumption and CO{sub 2} emissions

    SciTech Connect

    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

  9. Buildings Energy Data Book: 8.1 Buildings Sector Water Consumption

    Buildings Energy Data Book

    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

  10. Scanned-energy mode photoelectron diffraction measurements at beamline 7.0.1

    SciTech Connect

    Toomes, R.; Booth, N.A.; Woodruff, D.P.

    1997-04-01

    This report covers the results of the authors first experimental run, in May 1996, conducted to explore the advantages offered by the high spectral resolution available at the SpectroMicroscopy Facility on beam line 7.0 to conduct scanned-energy mode photoelectron diffraction (PhD). This technique is now a well-established method for the determination of local structure of atomic and molecular adsorbates on well-characterised surfaces. The directly-emitted component of an adsorbate core-level photoelectron wavefield interferes coherently with components of the same wavefield elastically scattered by surrounding atoms, leading to a modulation in the photoemission intensity as a function of kinetic energy in any specific emission direction. A series of such PhD modulation spectra, each typically covering energies from 50-500 eV, for a series of different emission directions, provides the basis for a quantitative structure determination of the emitter-scatterer geometry. Within the last years the authors have developed an integrated approach to extract the structural information from these photoelectron diffraction (PhD) spectra in a quantitative way. A direct data inversion technique (the so-called Projection method) provides a first-order estimate of the local adsorbate geometry in the form of an `image` of the scatterer atoms which are nearest neighbours to the emitter. This information is then used as a starting model for optimisation of the structural parameters by comparing the experimental PhD spectra with the results of multiple scattering simulations using a code developed by Fritzsche. The optimisation uses an automated trial-and-error procedure by minimising a reliability factor which provides an objective measure of the quality of agreement between experiment and theory. The authors have successfully applied this approach to the structure determination of about 30 adsorption systems.

  11. Issues in International Energy Consumption Analysis: Electricity Usage in India’s Housing Sector

    Reports and Publications

    2014-01-01

    India offers a unique set of features for studying electricity use in the context of a developing country. First, it has a rapidly developing economy with high yearly growth rates in gross domestic product (GDP). Second, it has the second -largest population in the world and is likely to have the largest population in the future. Third, its electric system is maturing—with known difficulties (outages, shortages, issues with reliability and quality) that are characteristic of a developing country. This article focuses on electricity use in the residential sector of India and discusses key trends and provides an overview of available usage estimates from various sources. Indian households are an interesting environment where many of India’s unique features interact. The recent economic gains correlate with rising incomes and possible changes in living standards, which could affect electricity or other energy use within households. Additionally, the maturing electric system and large population in India both offer opportunities to study a range of interactions between electrification and electricity usage in a developing country.

  12. 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

    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.

  13. Effect of multipole excitations in electron energy-loss spectroscopy of surface plasmon modes in silver nanowires

    SciTech Connect

    Zhou, Xiuli; Norris, Theodore B.; Hörl, Anton; Trügler, Andreas; Hohenester, Ulrich; Herzing, Andrew A.

    2014-12-14

    We have characterized the surface plasmon resonance (SPR) in silver nanowires using spatially resolved electron energy loss spectroscopy (EELS) in the scanning transmission electron microscope. Non-symmetric EELS spectra due to high-k SPR propagation along the nanowire and spectral shifts due to higher-order mode excitation are observed when the beam is positioned near the tip of the nanowire. When the beam is far from the tip region and on the side of nanowire, no spectral shifts are observed as the beam is scanned in the radial direction of the nanowire. The experimental spectra are compared with three different theoretical approaches: direct numerical calculation of the energy loss, analytical models for energy loss, and numerical simulations using an optical model. All three models reproduce the spectral shifts as the electron beam approaches the cap of the nanowire. The analytical model reveals the origin of the shifts in high-order plasmon mode excitation.

  14. Consumer-products minimum energy-efficiency-standards program. Topical report on Subtask 3. 1. Evaluation of energy consumption savings of boost heaters in dishwashers

    SciTech Connect

    Not Available

    1980-05-01

    An analysis of the energy conservation and life cycle cost benefits of boost heaters for dishwashers is presented to provide technical information to assist in determining whether to modify the dishwasher test procedure to include boost heaters. Two manufacturers are offering dishwashers which have an inlet water temperature requirement of 120/sup 0/F. Cleaning performance in these appliances is maintained with an electric coil in the sump of the dishwasher, which boosts the incoming water to its final temperature. Both manufacturers have petitioned DOE for exemption from efficiency standards, since current DOE test procedures give no credit for water heater energy savings. The evaluation shows boost heaters to be energy conserving for all conditions. The life cycle cost analysis indicates boost heaters are cost effective in all cases for homes with electric water heaters, and in most cases for homes having gas water heaters. Additionally the proposed standards for dishwashers will lower water consumption in 1985 model dishwashers such that boost heaters will become cost effective in all cases.

  15. ENERGY CONSUMPTION SURVEY

    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...

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

    SciTech Connect

    Williams, Charles; Green, Andrew S.; Dahle, Douglas; Barnett, John; Butler, Pat; Kerner, David

    2013-08-01

    The findings of this study indicate that potential exists in non-building applications to save energy and costs. This potential could save billions of federal dollars, reduce reliance on fossil fuels, increase energy independence and security, and reduce greenhouse gas emissions. The Federal Government has nearly twenty years of experience with achieving similar energy cost reductions, and letting the energy costs savings pay for themselves, by applying energy savings performance contracts (ESPC) inits buildings. Currently, the application of ESPCs is limited by statute to federal buildings. This study indicates that ESPCs can be a compatible and effective contracting tool for achieving savings in non-building applications.

  17. WET-NZ Multi-Mode Wave Energy Converter Advancement Project

    SciTech Connect

    Klure, Justin

    2011-11-01

    Presentation from the 2011 Water Peer Review in which the principal investigator discussed the next steps to verify a multi-mode functionality of the WET-NZ device. This included overview of the approaches taken to perform wave tank testing, open ocean deployment, synthesis and analysis.

  18. Table 8.4c Consumption for Electricity Generation by Energy Source: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.4a; Billion Btu)

    Energy Information Administration (EIA) (indexed site)

    c Consumption for Electricity Generation by Energy Source: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.4a; Billion Btu) 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 Power 5 Biomass Geo- thermal Solar/PV 5,8 Wind 5 Total Wood 6 Waste 7 Commercial Sector 10<//td> 1989 9,135 6,901 18,424 1,143 35,603 [–] 685 1,781 9,112 [–] – – 11,578 – –

  19. Enforcement Policy Statement: Off Mode Standards for CAC/HP ...

    Office of Environmental Management (EM)

    DOE will not seek civil penalties for violation of the off mode electrical power ... a test method for measuring off mode electrical power consumption for CACHP. ...

  20. Enforcement Policy Statement: Off Mode Standards for Central...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    DOE initiated a rulemaking to set a test method for measuring the off-mode electrical ... an alternate proposed method for measuring off mode electrical power consumption of ...