National Library of Energy BETA

Sample records for household characteristics rse

  1. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to...

  2. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Household Characteristics by Northeast Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

  3. Table HC1-3a. Housing Unit Characteristics by Household Income...

    Gasoline and Diesel Fuel Update (EIA)

    3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line...

  4. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli-...

  5. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  6. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors...

  7. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Household Characteristics by UrbanRural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City...

  8. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors...

  9. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD...

  10. appl_household2001.pdf

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

    3a. Appliances by Household Income, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible...

  11. Table HC1-2a. Housing Unit Characteristics by Year of Construction...

    Gasoline and Diesel Fuel Update (EIA)

    2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors...

  12. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

  13. appl_household2001.pdf

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

    8a. Appliances by UrbanRural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City Town...

  14. appl_household2001.pdf

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

    2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001...

  15. appl_household2001.pdf

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

    0a. Appliances by Midwest Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total...

  16. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors...

  17. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Air Conditioning by UrbanRural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City...

  18. appl_household2001.pdf

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

    1a. Appliances by South Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total...

  19. char_household2001.pdf

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

    2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total...

  20. appl_household2001.pdf

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

    9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors...

  1. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  2. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors...

  3. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors...

  4. ac_household2001.pdf

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

    2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to...

  5. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  6. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total...

  7. spaceheat_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

  8. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and...

  9. Characteristics RSE Column Factor: Households with Children Households Without Children

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan.

  10. 1997 Housing Characteristics Tables Housing Unit Tables

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

    1997 Housing Unit Characteristics RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  11. Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location...

    Gasoline and Diesel Fuel Update (EIA)

    8a. Housing Unit Characteristics by UrbanRural Location, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors...

  12. Table HC1-10a. Housing Unit Characteristics by Midwest Census...

    Gasoline and Diesel Fuel Update (EIA)

    0a. Housing Unit Characteristics by Midwest Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row...

  13. Table HC1-9a. Housing Unit Characteristics by Northeast Census...

    Gasoline and Diesel Fuel Update (EIA)

    9a. Housing Unit Characteristics by Northeast Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE...

  14. Table HC1-12a. Housing Unit Characteristics by West Census Region...

    Gasoline and Diesel Fuel Update (EIA)

    2a. Housing Unit Characteristics by West Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors...

  15. Table HC1-11a. Housing Unit Characteristics by South Census...

    Gasoline and Diesel Fuel Update (EIA)

    1a. Housing Unit Characteristics by South Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row...

  16. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of...

  17. appl_household2001.pdf

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

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit...

  18. Table HC1-5a. Housing Unit Characteristics by Type of Owner...

    Gasoline and Diesel Fuel Update (EIA)

    Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Owner- Occupied Units Type of...

  19. Table HC1-7a. Housing Unit Characteristics by Four Most Populated...

    Gasoline and Diesel Fuel Update (EIA)

    Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Four Most Populated States...

  20. 2003 CBECS RSE Tables

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

    of the Excel tables (access from main detailed tables page) or in PDF format here: Building Characteristics for All Buildings (Tables A1-A8) RSE Tables: PDF, 16 pages, 312KB...

  1. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

  2. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total...

  3. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census...

  4. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors...

  5. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census...

  6. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for...

  7. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.2 1.1 1.4 1.3 Total...

  8. Characteristics RSE Column Factor: Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan.. U.S.

  9. 1997 Housing Characteristics Tables Home Office Equipment Tables

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

    1997 Home Office Equipment RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  10. RSE Wind | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA)OptionsEquivalent URI JumpbsamenAnatoliaRSE Wind

  11. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Pages HC2-1a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 2 HC2-2a. Household Characteristics by Year of Construction, Million U.S. Households,...

  12. Characteristics RSE Column Factor: All Vehicle Types

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan. U.S.6.

  13. CBECS Buildings Characteristics --Revised Tables

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

    Totals and Means of Floorspace, Number of Workers, and Hours of Operation, 1995 Building Characteristics RSE Column Factor: All Buildings (thousand) Total Floorspace (million...

  14. Characteristics RSE Column Factor: All Model Years Model Year

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan. U.S.

  15. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Home Office Equipment RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total...

  16. " Million U.S. Housing Units" ,,"2005 Household...

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

    8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"...

  17. housingunit_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 5 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S....

  18. usage_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Usage Indicators Tables (Million U.S. Households; 60 pages, 247 kb) Contents Pages HC6-1a. Usage Indicators by Climate Zone, Million U.S. Households, 2001 5 HC6-2a. Usage...

  19. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Appliances Tables (Million U.S. Households; 60 pages, 240 kb) Contents Pages HC5-1a. Appliances by Climate Zone, Million U.S. Households, 2001 5 HC5-2a. Appliances by Year of...

  20. Policy Uncertainty and Household Savings

    E-Print Network [OSTI]

    Giavazzi, Francesco

    Using German microdata and a quasi-natural experiment, we provide evidence on how households respond to an increase in uncertainty. We find that household saving increases significantly following the increase in political ...

  1. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    kb) Contents Pages HC4-1a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 2 HC4-2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 2...

  2. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Home Office Equipment Tables (Million U.S. Households; 12 pages, 123 kb) Contents Pages HC7-1a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 1 HC7-2a. Home...

  3. Try This: Household Magnets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout / TransformingTransuranicTrillion Advanced UsageHousehold

  4. Household Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products

    E-Print Network [OSTI]

    de Lijser, Peter

    over a larger area and releases them into the air. Pouring hazardous liquids on the ground can poisonHousehold Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion should be considered hazardous. You cannot treat hazardous wastes like other kinds of garbage

  5. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    income range, households can become passive very quickly. ”income range, households can become passive very quickly. ”

  6. 1989 CBECS EUI

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

    5. Electricity Consumption and Expenditure Intensities, 1992 Building Characteristics RSE Column Factor: Electricity Consumption Electricity Expenditures RSE Row Factor per...

  7. The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01

    HOW MANY HYBRID HOUSEHOLDS IN THE CALIFORNIA NEW CAR MARKET?average 2.43 cars per household, then the hybrid householdnumber of multi-car households that fit our hybrid household

  8. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a. Household

  9. Energy-efficient housing alternatives: a predictive model of factors affecting household perceptions

    SciTech Connect (OSTI)

    Schreckengost, R.L.

    1985-01-01

    The major purpose of this investigation was to assess the impact of household socio-economic factors, dwelling characteristics, energy conservation behavior, and energy attitudes on the perceptions of energy-efficient housing alternatives. Perceptions of passive solar, active solar, earth sheltered, and retrofitted housing were examined. Data used were from the Southern Regional Research Project, S-141, Housing for Low and Moderate Income Families. Responses from 1804 households living in seven southern states were analyzed. A conceptual model was proposed to test the hypothesized relationships which were examined by path analysis. Perceptions of energy efficient housing alternatives were found to be a function of selected household and dwelling characteristics, energy attitude, household economic factors, and household conservation behavior. Age and education of the respondent, family size, housing-income ratio, utility income ratio, energy attitude, and size of the dwelling unit were found to have direct and indirect effects on perceptions of energy-efficient housing alternatives. Energy conservation behavior made a significant direct impact with behavioral energy conservation changes having the most profound influence. Conservation behavior was influenced by selected household and dwelling characteristics, energy attitude, and household economic factors.

  10. Essays on microeconomics of the household

    E-Print Network [OSTI]

    Wahhaj, Zaki

    2006-01-01

    These essays are concerned with the problem of cooperation among individuals in a household and among households in a community under lack of commitment. The first chapter provides a theoretical investigation of consumption ...

  11. Mexican-Origin Interregional Migration from the Southwest: Human, Household, and Community Capital Hypotheses 

    E-Print Network [OSTI]

    Siordia, Carlos

    2010-01-16

    their neighborhood and make residential location decisions (Ellis, Wright, & Parks 2006). The key difference between human and household social capital is that in general terms human capital theory focuses on the individual?s characteristics while household social... geographic areas to another. For example, the core?s grip can be seen as loosening its grip on the Mexican-origin population at the beginning of the 20 th century when agricultural, manufacturing, and railroad industries produced several pull forces...

  12. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household Tables

  13. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household

  14. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household1a.

  15. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household1a.2a.

  16. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0 11.07125Household1a.2a.a.

  17. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household

  18. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a.

  19. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a.6a.

  20. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a.6a.2001

  1. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a. Household4a.6a.20018a.

  2. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    of  American household carbon footprint. ” Ecological and  limitations) of carbon footprint estimates toward of the art in carbon footprint analyses for California, 

  3. Strategies for Collecting Household Energy Data | Department...

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

    Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012. Call Slides and Discussion Summary More Documents & Publications Homeowner and...

  4. Transferring 2001 National Household Travel Survey

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim; Schmoyer, Richard L; Chin, Shih-Miao

    2007-05-01

    Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

  5. Fact #565: April 6, 2009 Household Gasoline Expenditures by Income

    Broader source: Energy.gov [DOE]

    In the annual Consumer Expenditure Survey, household incomes are grouped into five equal parts called quintiles (each quintile is 20%). Households in the second and third quintiles consistently...

  6. Ventilation Behavior and Household Characteristics in New California Houses

    E-Print Network [OSTI]

    Price, Phillip N.; Sherman, Max H.

    2006-01-01

    the reasons for the occupant behavior. For example, Arethe interactions of occupant behavior and exposures. Shermanof a house (or of occupant behavior) are associated with

  7. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect (OSTI)

    Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

    2009-04-15

    The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

  8. 2003 CBECS RSE Tables

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Monthly

  9. Household gasoline demand in the United States

    E-Print Network [OSTI]

    Schmalensee, Richard

    1995-01-01

    Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, ...

  10. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    1995-10-05

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

  11. The changing character of household waste in the Czech Republic between 1999 and 2009 as a function of home heating methods

    SciTech Connect (OSTI)

    Doležalová, Markéta; Benešová, Libuše; Závodská, Anita

    2013-09-15

    Highlights: • The character of household waste in the three different types of households were assesed. • The quantity, density and composition of household waste were determined. • The physicochemical characteristics were determined. • The changing character of household waste during past 10 years was described. • The potential of energy recovery of household waste in Czech republic was assesed. - Abstract: The authors of this paper report on the changing character of household waste, in the Czech Republic between 1999 and 2009 in households differentiated by their heating methods. The data presented are the result of two projects, financed by the Czech Ministry of Environment, which were undertaken during this time period with the aim of focusing on the waste characterisation and complete analysis of the physicochemical properties of the household waste. In the Czech Republic, the composition of household waste varies significantly between different types of households based on the methods of home heating employed. For the purposes of these studies, the types of homes were divided into three categories – urban, mixed and rural. Some of the biggest differences were found in the quantities of certain subsample categories, especially fine residue (matter smaller than 20 mm), between urban households with central heating and rural households that primarily employ solid fuel such coal or wood. The use of these solid fuels increases the fraction of the finer categories because of the higher presence of ash. Heating values of the residual household waste from the three categories varied very significantly, ranging from 6.8 MJ/kg to 14.2 MJ/kg in 1999 and from 6.8 MJ/kg to 10.5 MJ/kg in 2009 depending on the type of household and season. The same factors affect moisture of residual household waste which varied from 23.2% to 33.3%. The chemical parameters also varied significantly, especially in the quantities of Tl, As, Cr, Zn, Fe and Mn, which were higher in rural households. Because knowledge about the properties of household waste, as well as its physicochemical characteristics, is very important not only for future waste management, but also for the prediction of the behaviour and influence of the waste on the environment as the country continues to streamline its legislation to the European Union’s solid waste mandates, the results of these studies were employed by the Czech Ministry of Environment to optimise the national waste management strategy.

  12. Essays on household decision making in developing countries

    E-Print Network [OSTI]

    Berry, James W. (James Wesley)

    2009-01-01

    This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

  13. Household Water Quality Home Water Quality Problems

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    Household Water Quality Home Water Quality Problems­ Causes and Treatments Blake Ross, Extension impurities can be corrected if they are a nuisance. Before beginning any treatment plan, have water tested select the most effective and economical treatment method. www.ext.vt.edu Produced by Communications

  14. Time Feature Selection for Identifying Active Household Members

    E-Print Network [OSTI]

    ]. The identification of active house- hold members, defined as the discrimination of which users from a given household

  15. 1989 CBECS EUI

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

    Table 3.2. Total Energy Consumption by Major Fuel, 1992 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) RSE Row Factor Number of...

  16. 1995 CECS C&E Tables

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

    Major Fuel, 1995 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) Primary Electricity (trillion Btu) RSE Row Factor Number of...

  17. 1989 CBECS EUI

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

    . Consumption for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: All Buildings Sum of Major Fuel Consumption RSE Row Factor Number of Buildings (thousand)...

  18. 1989 CBECS EUI

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

    . Expenditures for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: All Buildings Sum of Major Fuel Expenditures RSE Row Factor Number of Buildings (thousand)...

  19. 1989 CBECS EUI

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

    . Total Energy Consumption by Major Fuel, 1992 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) RSE Row Factor Number of Buildings...

  20. Demographic Patterns and Household Saving in China Chadwick C. Curtis

    E-Print Network [OSTI]

    Shyu, Mei-Ling

    Demographic Patterns and Household Saving in China Chadwick C. Curtis University of Richmond the aggregate household saving rate. We focus on China because it is experiencing an historic demographic transition and has had a massive increase in household saving. We conduct a quantitative investigation using

  1. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

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

  2. S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587

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

    1997 Home Office Equipment RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  3. Table HC7-8a. Home Office Equipment by Urban/Rural Location...

    Gasoline and Diesel Fuel Update (EIA)

    8a. Home Office Equipment by UrbanRural Location, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City Town...

  4. Table HC7-6a. Home Office Equipment by Type of Rented Housing...

    Gasoline and Diesel Fuel Update (EIA)

    6a. Home Office Equipment by Type of Rented Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE...

  5. untitled

    Gasoline and Diesel Fuel Update (EIA)

    4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family...

  6. The Impact of Carsharing on Household Vehicle Ownership

    E-Print Network [OSTI]

    Martin, Elliot; Shaheen, Susan

    2011-01-01

    Household Vehicle Ownership ELLIOT MARTIN AND SUSAN SHAHEENwe asked questions about ? Elliot Martin is a PostdoctoralBoard, 1927: 158–166. Elliot Martin and Susan Shaheen.

  7. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect (OSTI)

    none,

    2011-12-01

    Provides state and local policymakers with information on successful approaches to the design and implementation of residential efficiency programs for households ineligible for low-income programs.

  8. Loan Programs for Low- and Moderate-Income Households | Department...

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

    Multifamily and Low-Income Housing Peer Exchange Call Series: Loan Programs for Low- and Moderate-Income Households, March 13, 2014. Call Slides and Discussion Summary More...

  9. Barriers to household investment in residential energy conservation: preliminary assessment

    SciTech Connect (OSTI)

    Hoffman, W.L.

    1982-12-01

    A general assessment of the range of barriers which impede household investments in weatherization and other energy efficiency improvements for their homes is provided. The relationship of similar factors to households' interest in receiving a free energy audits examined. Rates of return that underly household investments in major conservation improvements are assessed. A special analysis of household knowledge of economically attractive investments is provided that compares high payback improvements specified by the energy audit with the list of needed or desirable conservation improvements identified by respondents. (LEW)

  10. Dynamic bargaining in households (with application to Bangladesh)

    E-Print Network [OSTI]

    Ligon, Ethan

    2002-01-01

    rural credit programs in Bangladesh. World Development 24 (the Grameen bank in Econ­ Bangladesh. Technical Report 65,household allocation in Bangladesh. The model resolves a

  11. Household Response To Dynamic Pricing Of Electricity: A Survey...

    Open Energy Info (EERE)

    and Canada. The report suggests conclusive evidence that households respond to higher prices by lowering usage. The magnitude of price response depends on several factors, such as...

  12. Residential Network Members Impact More Than 42,000 Households...

    Energy Savers [EERE]

    Members Impact More Than 42,000 Households Photo of a row of townhomes. Eligible Better Buildings Residential Network members reported completing 27,563 home energy upgrades...

  13. Analysis of Household Energy Consumption Choices Objective: Develop a data-based analysis of US household energy use that provides a

    E-Print Network [OSTI]

    Wolberg, George

    Analysis of Household Energy Consumption Choices Objective: Develop a data-based analysis of US household energy use that provides a solid framework for understanding how policies such as carbon pricing could affect various subgroups of household energy consumers. Background: Household energy use in the US

  14. THE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD

    E-Print Network [OSTI]

    THE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD ENERGY SERVICES by Steven Groves BASc of Research Project: The Desire to Acquire: Forecasting the Evolution of Household Energy Services Report No, and gasoline. A fixed effects panel model was used to examine the relationship of demand for energy

  15. Measuring the return on household enterprise: What matters most for whom?

    E-Print Network [OSTI]

    Samphantharak, Krislert

    Return on assets (ROA) of household enterprise is crucial for understanding the productivity of households in developing economies. Yet the definition and measurement of household enterprise ROA remain inconsistent or ...

  16. The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01

    HEV) - Natural Gas Vehicle (NGV) 140 or 180 80 or 120EV, and 20 percent chose an NGV. All EVs, including hybridHouseholds that wanted an NGV had a choice of two range

  17. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic...

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

    8: April 12, 2010 Vehicles per Household and Other Demographic Statistics Fact 618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number...

  18. Essays on the household-level effects of house price growth

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01

    in wealth from household saving, such passive gains canpassive changes in the value of other assets (such as vehicle depreciation), it is an estimate of how much households

  19. Rapid energy savings in London's households to mitigate an energy crisis

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

    to mitigate an energy crisis Wood, G. & Newborough, M. ,households to mitigate an energy crisis Chen, A. , 2008.households to mitigate an energy crisis Rapid energy savings

  20. Householder Symposium on Numerical Linear Algebra June 1721, 2002

    E-Print Network [OSTI]

    Higham, Nicholas J.

    for discussions. This year's symposium is held at Peebles Hotel Hydro in the small town of Peebles (populationHouseholder Symposium on Numerical Linear Algebra June 17­21, 2002 Peebles Hotel Hydro, Scotland

  1. Forest Clearing Among Farm Households in the Maya Biosphere Reserve*

    E-Print Network [OSTI]

    Lopez-Carr, David

    Forest Clearing Among Farm Households in the Maya Biosphere Reserve* David L. Carr University, Pete´n, to agri- cultural settlement (Bilsborrow and Carr 2001). Since the southern half

  2. Deep cuts in household greenhouse gas emissions Andrew Blakers

    E-Print Network [OSTI]

    Deep cuts in household greenhouse gas emissions Andrew Blakers Director, Centre for Sustainable Energy Systems Australian National University Ph 61 2 6125 5905 Andrew.blakers@anu.edu.au Web: http

  3. Household energy use in non-OPEC developing countries

    SciTech Connect (OSTI)

    Fernandez, J.C.

    1980-05-01

    Energy use in the residential sector in India, Brazil, Mexico, the Republic of Korea, the Sudan, Pakistan, Malaysia, and Guatemala is presented. Whenever possible, information is included on the commercial fuels (oil, gas, coal, and electricity) and on what are termed noncommercial fuels (firewood, animal dung, and crop residues). Of special interest are the differences in the consumption patterns of urban and rural areas, and of households at different income levels. Where the data allow, the effect of household size on energy consumption is discussed. Section II is an overview of the data for all eight countries. Section III examines those areas (India, Brazil, Mexico City) for which data exist on the actual quantity of energy consumed by households. Korea, the Sudan, and Pakistan, which collect data on household expenditures on fuels, are discussed in Section IV. The patterns of ownership of energy-using durables in Malaysia and Guatemala are discussed in Section V. (MCW)

  4. Fact #614: March 15, 2010 Average Age of Household Vehicles

    Broader source: Energy.gov [DOE]

    The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first...

  5. Buildings and Energy in the 1980's (TABLES)

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

    than 10 households were sampled. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may...

  6. S:\\VM3\\RX97\\TBL_LIST.WPD

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

    than 10 households were sampled. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may...

  7. Survey of Household Energy Use (SHEU)

    E-Print Network [OSTI]

    and 1997. Its goal is to gather data on the energy and physical characteristics of private dwellings to number of dwellings, dwelling area, energy consumption and energy intensity. The target population. The number of dwellings is expressed in units; energy consumption, in gigajoules (GJ); heated area, in square

  8. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E.

    1996-11-01

    This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

  9. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01

    This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

  10. Logistic regression models for predicting trip reporting accuracy in GPS-enhanced household travel surveys 

    E-Print Network [OSTI]

    Forrest, Timothy Lee

    2007-04-25

    This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand...

  11. Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics

    Broader source: Energy.gov [DOE]

    Since 1969, the number of vehicles per household has increased by 66% and the number of vehicles per licensed driver has increased by 47%. The number of workers per household has changed the least...

  12. Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles

    Broader source: Energy.gov [DOE]

    When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles...

  13. Impacts of Climate Conditions and Adaptations on Agricultural Output and Household Income in Inner Mongolia, China 

    E-Print Network [OSTI]

    Chen, Wenjuan

    2014-07-31

    indicated that land degradation hurt the poorest household groups most and that conservation programs benefited the same groups the most significantly with respect to household income. In addition, diversification of income sources contribute significantly...

  14. Using Multiple Household Food Inventories to Measure Food Availability in the Home 

    E-Print Network [OSTI]

    Sisk, Cheree L.

    2010-10-12

    The purpose of this study was to determine the feasibility of conducting multiple household food inventories over the course of 30 days to examine weekly food variability. Household food availability influences the foods ...

  15. Fact #747: October 1, 2012 Behind Housing, Transportation is the Top Household Expenditure

    Broader source: Energy.gov [DOE]

    Except for housing, transportation was the largest single expenditure for the average American household in 2010. The average household spends more on transportation in a year than on food. Vehicle...

  16. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles

    Broader source: Energy.gov [DOE]

    Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of...

  17. Rebound Effect in Energy Efficient Appliance Adopting Households 

    E-Print Network [OSTI]

    Glenn, Jacob Matthew

    2014-12-10

    This paper uses data from smart meter technology to estimate the occurrence of energy rebound, a “substitution” and “income’ effect where the price-per-use of an appliance falls relative to its energy efficiency. This causes households to have more...

  18. NONPARAMETRIC REGRESSION ESTIMATION OF HOUSEHOLD VMT Young-Jun Kweon

    E-Print Network [OSTI]

    Kockelman, Kara M.

    NONPARAMETRIC REGRESSION ESTIMATION OF HOUSEHOLD VMT Young-Jun Kweon (Corresponding Author Transportation Survey. The results are density functions and regression surfaces for VMT, in relation regressions perform better than their ordinary-least squares counterparts in many ways: they permit full

  19. MICROSIMULATION OF RESIDENTIAL LAND DEVELOPMENT AND HOUSEHOLD LOCATION CHOICES

    E-Print Network [OSTI]

    Kockelman, Kara M.

    maximization and bid-rent theory, this paper investigates single-family residential location choices of new distribution). On the demand side, individual households (characterized by size, income, and presence and land owners maximize profits and/or rents. The simulation analysis offers insights into key features

  20. Household scale slow sand filtration in the Dominican Republic

    E-Print Network [OSTI]

    Donison, Kori S. (Kori Shay), 1981-

    2004-01-01

    Slow sand filtration is a method of water treatment that has been used for hundreds of years. In the past two decades, there has been resurgence in interest in slow sand filtration, particularly as a low-cost, household-scale ...

  1. Compatibility Between GFCI Breakers and Household Adjustable Speed Drives

    E-Print Network [OSTI]

    Kimball, Jonathan W.

    Compatibility Between GFCI Breakers and Household Adjustable Speed Drives Jonathan Kimball Senior circuit interrupter (GFCI) compatibility becomes crucial. As compared to industrial applications, the GFCI response of a commonly-used GFCI breaker is compared to the common-mode current of a commercially

  2. Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey

    E-Print Network [OSTI]

    Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

    2001-01-01

    icVehicle (REV) s s (NGV) Reformulated Gasoline Vehicle (Among households that chose an NGV, chose to purchase the

  3. 10Tips to Spend Less on Household Goods Spend about $20 on a battery

    E-Print Network [OSTI]

    Tullos, Desiree

    and dishwasher. 3 You can use white distilled vinegar or baking soda for many household cleaning jobs. Read

  4. 1989 CBECS EUI

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

    . Electricity Consumption and Conditional Energy Intensity for Buildings Cooled with Electricity, 1992 Building Characteristics RSE Column Factor: Total Electricity Consumption...

  5. A Study of Individual Household Water Consumption Borg, Edwards, Kimpel A Study of Individual Household Water Consumption

    E-Print Network [OSTI]

    Pasternack, Gregory B.

    's goal is to investigate the weekly per capita indoor water use of three households in Davis, California will be evaluated for efficacy (water savings) and cost (excluding variable installation costs). The cost, and the nation in order to determine what are the most cost efficient ways in which to increase water

  6. "Table HC15.3 Household Characteristics by Four Most Populated States, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional37 Housing Unit0323

  7. Table HC6.9 Home Appliances Characteristics by Number of Household...

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

    LPG... 5.6 1.3 2.1 1.0 0.7 0.5 Built-inStove-top Grills Use a Built-inStove-top Grill... 4.9 0.8 1.8 0.9 0.6 0.7...

  8. Table HC6.11 Home Electronics Characteristics by Number of Household...

    Gasoline and Diesel Fuel Update (EIA)

    ... 0.7 N Q 0.2 0.2 Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)... 45.0 7.8 15.2 8.6 7.8 5.6 Flat-panel...

  9. Interracial Marriage in Brazil: a discussion about local marriage market, parents' characteristics, and household chores

    E-Print Network [OSTI]

    Tomas, Maria Carolina

    2012-01-01

    Identity: Comparing the United States and Brazil. ” Pp.Politics in Contemporary Brazil, edited by M Hanchard and NUnmixing for Race Making in Brazil. ” American Journal of

  10. Energy use of US residential refrigerators and freezers: function derivation based on household and climate characteristics

    E-Print Network [OSTI]

    Greenblatt, Jeffery

    2013-01-01

    of RECS annual energy consumption data with a UAF functionGather as much field energy consumption data as possible 2.field energy consumption from RECS data Standard-size

  11. Table HC1-3a. Housing Unit Characteristics by Household Income,

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices, Sales Volumes & Stocks by0a.a.3a.

  12. Table HC6.11 Home Electronics Characteristics by Number of Household Members, 2005

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices, Sales Volumes & Stocks9a. Housing0.401

  13. Table HC6.2 Living Space Characteristics by Number of Household Members, 2005

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices, Sales Volumes & Stocks9a. Housing0.40122

  14. Table HC6.4 Space Heating Characteristics by Number of Household Members, 2005

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices, Sales Volumes & Stocks9a.

  15. Table HC6.9 Home Appliances Characteristics by Number of Household Members, 2005

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices, Sales Volumes & Stocks9a.5 SpaceHC6.9

  16. "Table HC2.1 Structural and Geographic Characteristics of U...

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

    by the U.S. Department of Energy's Office of Energy and Efficiency and Renewable Energy (EERE). Q Data withheld either because the Relative Standard Error (RSE) was greater...

  17. 1992 CBECS C & E

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

    of District Heat by End Use, 1989 District Heat Consumption (trillion Btu) Space Water a Total Heating Heating Other RSE Building Row Characteristics Factor 1.0 NF NF NF RSE...

  18. 1992 CBECS C & E

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

    0. Consumption of Fuel Oil by End Use, 1989 Fuel Oil Consumption (trillion Btu) Space Water a Total Heating Heating Other RSE Building Row Characteristics Factor 1.0 NF NF NF RSE...

  19. 1992 CBECS C&E Table 3.29

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

    per Square Foot and Load Factors, 1992 Building Characteristics RSE Column Factor: All Demand-Metered Buildings Peak Watts per Square Foot Load Factor RSE Row Factor Number of...

  20. Form EIA-457E (2001) -- Household Bottled Gas Usage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowers 2015ValuesE (2001) - Household

  1. Form EIA-457E (2001) -- Household Bottled Gas Usage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowers 2015ValuesE (2001) - HouseholdF

  2. Form EIA-457E (2001) -- Household Bottled Gas Usage

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowers 2015ValuesE (2001) - HouseholdFG

  3. Household heating bills expected to be lower this winter

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowerslong4,Guide toHigh oilHousehold

  4. Rethinking Downstream Regulation: California's Opportunity to Engage Households in Reducing Greenhouse Gases

    E-Print Network [OSTI]

    2008-01-01

    households in reducing greenhouse gases. Energy Policy (Tradable Permits for Greenhouse Gas Emissions: a Primer WithEIA, 2006a. Emissions of Greenhouse Gases in the United

  5. HOUSEHOLD AND STRUCTURAL INSECTS Effect of Trap Design, Chemical Lure, Carbon Dioxide Release Rate,

    E-Print Network [OSTI]

    Wang, Changlu

    HOUSEHOLD AND STRUCTURAL INSECTS Effect of Trap Design, Chemical Lure, Carbon Dioxide Release Rate passive monitor available in the market for bed bugs

  6. "Table HC7.5 Space Heating Usage Indicators by Household Income...

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

    Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than...

  7. "Table HC7.12 Home Electronics Usage Indicators by Household...

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

    Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than...

  8. Rethinking Downstream Regulation: California's Opportunity to Engage Households in Reducing Greenhouse Gases

    E-Print Network [OSTI]

    2008-01-01

    for reducing carbon dioxide emissions from UK household2002. Estimating Carbon Dioxide Emissions Factors for the2002). Estimating Carbon Dioxide Emissions Factors for the

  9. Effect of Income on Appliances in U.S. Households, The

    Reports and Publications (EIA)

    2004-01-01

    Entails how people live, the factors that cause the most differences in home lifestyle, including energy use in geographic location, socioeconomics and household income.

  10. Forum on Enhancing the Delivery of Energy Efficiency to Middle Income Households: Discussion Summary

    SciTech Connect (OSTI)

    none,

    2012-09-20

    Summarizes discussions and recommendations from a forum for practitioners and policymakers aiming to strengthen residential energy efficiency program design and delivery for middle income households.

  11. The Other Energy Crisis: Managing Urban Household Energy Use in Senegal

    E-Print Network [OSTI]

    Leitmann, Josef

    1989-01-01

    TH E OTHER ENERGY CRISIS: Managing Urban Household Energyimpact of this other energy crisis, the case of Senegal ingrowth and stability -- the energy crisis. With increasingly

  12. Essays on Price Dynamics, Welfare Analysis, Household Food Insecurity in Mexico 

    E-Print Network [OSTI]

    Magana Lemus, David

    2013-09-20

    Higher and more volatile food prices, as reported in recent years, have consequences on household welfare and potentially on public policy. Analysis of agricultural commodities price dynamics, welfare ...

  13. Incentives & Nutrition For Rotten Kids: The Quantity & Quality Of Food Allocated Within Philippine Households

    E-Print Network [OSTI]

    Dubois, Pierre; Ligon, Ethan

    2012-01-01

    rural poor: a study of Philippine farm households. Boulder:and food allocation in the Philippines. Unpublished Manu-planning in the rural Philippines. Journal of Southeast

  14. Trip rate comparison of workplace and household surveys 

    E-Print Network [OSTI]

    Endres, Stephen Michael

    1997-01-01

    Travel surveys are the foundation of traffic predictions. From travel surveys, the general public's traveling characteristics are obtained. The traveling characteristics of people allow transportation planners, through computer modeling, to predict...

  15. A household carbon footprint calculator for islands: Case study of the United States Virgin Islands

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Survey A household carbon footprint calculator for islands: Case study of the United States Virgin xxxx Keywords: Carbon footprint Green house gas emissions Small Island Developing States Island regions the carbon footprint of typical households within the US Virgin Islands. We find the average carbon footprint

  16. NBER WORKING PAPER SERIES HOUSEHOLD RESPONSE TO THE 2008 TAX REBATE

    E-Print Network [OSTI]

    Cafarella, Michael J.

    NBER WORKING PAPER SERIES HOUSEHOLD RESPONSE TO THE 2008 TAX REBATE: SURVEY EVIDENCE AND AGGREGATE, including © notice, is given to the source. #12;Household Response to the 2008 Tax Rebate: Survey Evidence/University of Michigan survey report that the 2008 tax rebates led them to mostly increase spending, while over half said

  17. ORIGINAL PAPER Long-term dynamics of household size and their

    E-Print Network [OSTI]

    Langerhans, Brian

    impact Á Household size Á IPHoG Á Population Á Sustainable development Introduction The impacts of human the impacts of increased housing present a threat to sustainability even when population growth slows. Future research addressing environmental impacts of declining household size could use an adapted IPAT model, I

  18. Environmental and Resource Economics Household Energy Demand in Urban China: Accounting for regional prices and rapid

    E-Print Network [OSTI]

    growth, China's energy consumption is rising at one of the fastest rates in the world, almost 8% per year, in particular, household electricity use rose by 12.6% per year, and natural gas by 19.5% in the last decade1Environmental and Resource Economics Household Energy Demand in Urban China: Accounting

  19. Frequency and longitudinal trends of household care product use Rebecca E. Moran a

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    SUPERB Indoor environment d-limonene a b s t r a c t The use of household cleaning products and air infiltrating to the indoor environment to form potentially toxic secondary pollutants. Although realistic, frequencies of use of eight types of household cleaning products and air fresheners and the performance

  20. Edinburgh Research Explorer Influencing household energy practices: a critical review of UK

    E-Print Network [OSTI]

    Edinburgh, University of

    Edinburgh Research Explorer Influencing household energy practices: a critical review of UK smart & Webb, J 2014, 'Influencing household energy practices: a critical review of UK smart metering standards Commons Attribution License (http://creativecommons.org/ licenses/by/3.0), which permits unrestricted use

  1. A 3D Interface for Selecting Household Paint Colors Seth Berrier, Gary Meyer and Danny Rado

    E-Print Network [OSTI]

    Meyer, Gary

    A 3D Interface for Selecting Household Paint Colors Seth Berrier, Gary Meyer and Danny Rado Digital Abstract Commercially available tools for searching collections of paint colors are critically examined and a new computer interface for selecting household paint colors is proposed. The new system is organized

  2. Passive sampling methods to determine household and personal care product use

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    Passive sampling methods to determine household and personal care product use DEBORAH H. BENNETTa, cleaning products, passive sampling, SUPERB, longitudinal. Introduction Personal care and household care products, such as cleaning products and pesticides, are frequently used in most house- holds although

  3. Determinants of SNAP Participation: Employing a Structural Vulnerability of Poverty Framework to Examine SNAP Participation Among Low-Income Heads of Households

    E-Print Network [OSTI]

    Rosen, Gina L

    2015-01-01

    Among  Low-­?Income   Heads  of  Households.  Association  Participation Among Low-Income Heads of Households By GinaRecession among elderly low-income heads of households. The

  4. Activity-based Travel Demand Model with Time-use and Microsimulation incorporating Intra-household Interactions

    E-Print Network [OSTI]

    Kim, Hee-Kyung

    2008-01-01

    actions that maximize the joint family income by acting inincome under which individual finds consumption to maximizemaximize the individual utility function subject to the distribution of the household’s full income.

  5. A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409, "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"

    E-Print Network [OSTI]

    Wood, D.J.

    2010-01-01

    to separate fuel price and capital cost effects from non-for any household's heat pump capital costs, and replace theto own fuel prices, own capital costs, and household income.

  6. Household- and Market-Level Perspectives on the Peter Pan Peanut Butter Recall Using Nielsen Homescan Panel Data 

    E-Print Network [OSTI]

    Bakhtavoryan, Rafael

    2012-02-14

    Using household level scanner data for 2006, 2007, and 2008, this dissertation consists of four studies, which present household- and market-level analyses of food safety issues concerning the 2007 Peter Pan recall on the ...

  7. Modeling household adoption of earthquake hazard adjustments: a longitudinal panel study of Southern California and Western Washington residents 

    E-Print Network [OSTI]

    Arlikatti, Sudha S

    2006-10-30

    This research, aimed at advancing the theory of environmental hazard adjustment processes by contrasting households from three cities in a high seismic hazard area with households from three other cities in a moderate seismic hazard area...

  8. Commercial viability of hybrid vehicles : best household use and cross national considerations.

    SciTech Connect (OSTI)

    Santini, D. J.; Vyas, A. D.

    1999-07-16

    Japanese automakers have introduced hybrid passenger cars in Japan and will soon do so in the US. In this paper, we report how we used early computer simulation model results to compare the commercial viability of a hypothetical near-term (next decade) hybrid mid-size passenger car configuration under varying fuel price and driving patterns. The fuel prices and driving patterns evaluated are designed to span likely values for major OECD nations. Two types of models are used. One allows the ''design'' of a hybrid to a specified set of performance requirements and the prediction of fuel economy under a number of possible driving patterns (called driving cycles). Another provides an estimate of the incremental cost of the hybrid in comparison to a comparably performing conventional vehicle. In this paper, the models are applied to predict the NPV cost of conventional gasoline-fueled vehicles vs. parallel hybrid vehicles. The parallel hybrids are assumed to (1) be produced at high volume, (2) use nickel metal hydride battery packs, and (3) have high-strength steel bodies. The conventional vehicle also is assumed to have a high-strength steel body. The simulated vehicles are held constant in many respects, including 0-60 time, engine type, aerodynamic drag coefficient, tire rolling resistance, and frontal area. The hybrids analyzed use the minimum size battery pack and motor to meet specified 0-60 times. A key characteristic affecting commercial viability is noted and quantified: that hybrids achieve the most pronounced fuel economy increase (best use) in slow, average-speed, stop-and-go driving, but when households consistently drive these vehicles under these conditions, they tend to travel fewer miles than average vehicles. We find that hours driven is a more valuable measure than miles. Estimates are developed concerning hours of use of household vehicles versus driving cycle, and the pattern of minimum NPV incremental cost (or benefit) of selecting the hybrid over the conventional vehicle at various fuel prices is illustrated. These results are based on data from various OECD motions on fuel price, annual miles of travel per vehicle, and driving cycles assumed to be applicable in those nations. Scatter in results plotted as a function of average speed, related to details of driving cycles and the vehicles selected for analysis, is discussed.

  9. Energy use by households in a rural area of the Philippines

    SciTech Connect (OSTI)

    Yust, B.L.

    1986-01-01

    The relationship between fuels used by households in a rural region of Leyte Province, the Philippines, and the variables that can affect the type and amount of fuel used were examined. Data were drawn from interviews conducted in a previous study with 150 female heads of households from 10 villages near Baybay, Leyte. Within a family-ecosystem framework, a multiple regression model was developed to identify predictors of fuel use in the households. Inputs to the system included the following independent variables representing aspects of household environments; (1) natural--geographic location of the village, (2) technical--cook stove and equipment ownership, (3) economic--distance to fuel sources and number of hectares of land owned, and (4) cultural-cooking fuel preference. Two regression equations were developed. The first used as the dependent variable the number of units of each of four specific fuels used in the household in one week: wood, coconut fronds, and coconut shells, and coconut husks with shells. The second used as the dependent variable an aggregate measure, barrel oil equivalent (boe), of the quantity of all fuels used in the household in one week. The households in this study were primarily dependent on biomass fuels gathered by family members; a limited quantity of commercial fuels was used.

  10. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses. The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  11. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

    Sparn, B.; Jin, X.; Earle, L.

    2013-10-01

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

  12. On the periphery of the periphery: household archaeology at Hacienda Tabi, Yucatan, Mexico 

    E-Print Network [OSTI]

    Sweitz, Samuel Randles

    2006-10-30

    The archaeological remains at Hacienda Tabi provide an opportunity to study the effects of large-scale societal changes on the lives of the Maya who worked on the hacienda. The households, represented by the ruins of the ...

  13. Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey

    E-Print Network [OSTI]

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01

    o f Batteries for Electric Vehicles: A Report of the BatteryR. (1993) Report of the Electric Vehicle At-Home Refueling1994) Demand for Electric Vehicles in Hybrid Households: A n

  14. Monitoring effective use of household water treatment and safe storage technologies in Ethiopia and Ghana

    E-Print Network [OSTI]

    Stevenson, Matthew M

    2009-01-01

    Household water treatment and storage (HWTS) technologies dissemination is beginning to scale-up to reach the almost 900 million people without access to an improved water supply (WHO/UNICEF/JMP, 2008). Without well-informed ...

  15. Aalborg Universitet Design and Control of Household CHP Fuel Cell System

    E-Print Network [OSTI]

    Berning, Torsten

    for micro combined heat and power (CHP) systems for local households. Several components in the PEM fuel, takes into account fuel processor components such as steam reformer, heat exchangers and water gas shift

  16. How Do You Encourage Everyone in Your Household to Save Energy?

    Broader source: Energy.gov [DOE]

    Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people—be they roommates, spouses, children, or maybe even...

  17. Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010

    Broader source: Energy.gov [DOE]

    The overall share of annual household expenditures for transportation was lower in 2010 than it was in 1984, reaching its lowest point in 2009 at 15.5%. In the early to mid-1980s when oil prices...

  18. Household Segmentation in Food Insecurity and Soil Improving Practices in Ghana 

    E-Print Network [OSTI]

    Nata, Jifar T

    2013-08-09

    There is a persistent problem of poor agricultural production which leads to household food insecurity problems for farmers in Ghana. Studies show that the adoption of improved agricultural practices and technology may help stabilize production...

  19. TEX-A-SYST: Reducing the Risk of Ground Water Contamination by Improving Household Wastewater Treatment 

    E-Print Network [OSTI]

    Harris, Bill L.; Hoffman, D.; Mazac Jr., F. J.

    1997-08-29

    Household wastewater treatment systems (septic systems) can contaminate ground water unless they are properly designed, constructed and maintained. This publication describes various kinds of systems and guides the homeowner in assessing...

  20. Household income pooling and the demand for food: does family financial structure matter? 

    E-Print Network [OSTI]

    Perusquia Corres, Ernesto

    2009-06-02

    Research on food consumption and expenditures usually employs the use of unitary models that do not account for type of family financial structure. This research presents two collective models of household behavior, ...

  1. A theoretical and simulation-based examination of household vehicle choice through an adoption perspective

    E-Print Network [OSTI]

    Liu, Jenny Hsing-I

    2010-01-01

    vehicles of varying sizes using conven- tional or alternative energyenergy efficiency, the introduction of alternative fuel vehiclesalternatives due to higher environmental awareness. When households purchase energy-efficient vehicles,

  2. Household water treatment and safe storage options for Northern Region Ghana : consumer preference and relative cost

    E-Print Network [OSTI]

    Green, Vanessa (Vanessa Layton)

    2008-01-01

    A range of household water treatment and safe storage (HWTS) products are available in Northern Region Ghana which have the potential to significantly improve local drinking water quality. However, to date, the region has ...

  3. Explaining households' economic hardship -an interplay of demography and housing system

    E-Print Network [OSTI]

    Birmingham, University of

    Explaining households' economic hardship - an interplay of demography and housing system Paper on research conducted in the EU 7th Framework Program DEMHOW Demographic Change and Housing Wealth (Grant. Demography and housing in the two-level model..............................................................6

  4. Distributional Impacts of Carbon Pricing: A General Equilibrium Approach with Micro-Data for Households

    E-Print Network [OSTI]

    Rausch, Sebastian

    Many policies to limit greenhouse gas emissions have at their core efforts to put a price on carbon emissions. Carbon pricing impacts households both by raising the cost of carbon intensive products and by changing factor ...

  5. Mapping Fuel Poverty Risk at Household Scale using Infrared Thermography and a Fuzzy Set Approach 

    E-Print Network [OSTI]

    le Riche, Marguerite M.

    2015-11-01

    This project investigates to what extent infrared thermography can be applied to improve the identification of households at risk of fuel poverty. As a method for qualitatively assessing the thermal efficiency of buildings, ...

  6. A Mixed Nordic Experience: Implementing Competitive Retail Electricity Markets for Household Customers

    SciTech Connect (OSTI)

    Olsen, Ole Jess; Johnsen, Tor Arnt; Lewis, Philip

    2006-11-15

    Although the Nordic countries were among the first to develop competition in the electricity industry, it took a long time to make retail competition work. In Norway and Sweden a considerable number of households are actively using the market but very few households are active in Finland and Denmark. One problem has been institutional barriers involving metering, limited unbundling of distribution and supply, and limited access to reliable information on contracts and prices. (author)

  7. Characterization of Households and its Implications for the Vegetation of

    E-Print Network [OSTI]

    Vermont, University of

    motivations for and participation in local land management. Key words: urban ecology; population; house- hold be enhanced by examining the multidimensional social characteristics of house- holds. To this end, we of a quadratic term for housing age significantly im- proved the models. Based on these research re- sults, we

  8. Table HC7-5a. Home Office Equipment by Type of Owner-Occupied...

    Gasoline and Diesel Fuel Update (EIA)

    5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Owner- Occupied Units Type of...

  9. Activity-based Travel Demand Model with Time-use and Microsimulation incorporating Intra-household Interactions

    E-Print Network [OSTI]

    Kim, Hee-Kyung

    2008-01-01

    production function, the optimal allocation of time tofunction, the structural model of household resource allocationfunction. Domestic production model The optimal allocation

  10. Housing deficits as a frame for housing policy: Demographic change, economic crisis and household formation in Indonesia

    E-Print Network [OSTI]

    Monkkonen, P

    2013-01-01

    states passion for social housing. Vanguard Nigeria. Asianto help expand access to housing in Indonesia. Manila: PressThe transformation of housing and household structures in

  11. Household energy use in urban Venezuela: Implications from surveys in Maracaibo, Valencia, Merida, and Barcelona-Puerto La Cruz

    SciTech Connect (OSTI)

    Figueroa, M.J.; Sathaye, J.

    1993-08-01

    This report identifies the most important results of a comparative analysis of household commercial energy use in Venezuelan urban cities. The use of modern fuels is widespread among all cities. Cooking consumes the largest share of urban household energy use. The survey documents no use of biomass and a negligible use of kerosene for cooking. LPG, natural gas, and kerosene are the main fuels available. LPG is the fuel choice of low-income households in all cities except Maracaibo, where 40% of all households use natural gas. Electricity consumption in Venezuela`s urban households is remarkably high compared with the levels used in households in comparable Latin American countries and in households of industrialized nations which confront harsher climatic conditions and, therefore, use electricity for water and space heating. The penetration of appliances in Venezuela`s urban households is very high. The appliances available on the market are inefficient, and there are inefficient patterns of energy use among the population. Climate conditions and the urban built form all play important roles in determining the high level of energy consumption in Venezuelan urban households. It is important to acknowledge the opportunities for introducing energy efficiency and conservation in Venezuela`s residential sector, particularly given current economic and financial constraints, which may hamper the future provision of energy services.

  12. Development of the household sample for furnace and boilerlife-cycle cost analysis

    SciTech Connect (OSTI)

    Whitehead, Camilla Dunham; Franco, Victor; Lekov, Alex; Lutz, Jim

    2005-05-31

    Residential household space heating energy use comprises close to half of all residential energy consumption. Currently, average space heating use by household is 43.9 Mbtu for a year. An average, however, does not reflect regional variation in heating practices, energy costs, or fuel type. Indeed, a national average does not capture regional or consumer group cost impacts from changing efficiency levels of heating equipment. The US Department of Energy sets energy standards for residential appliances in, what is called, a rulemaking process. The residential furnace and boiler efficiency rulemaking process investigates the costs and benefits of possible updates to the current minimum efficiency regulations. Lawrence Berkeley National Laboratory (LBNL) selected the sample used in the residential furnace and boiler efficiency rulemaking from publically available data representing United States residences. The sample represents 107 million households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler rulemaking. This paper describes the choice of criteria to select the sample of houses used in the rulemaking process. The process of data extraction is detailed in the appendices and is easily duplicated. The life-cycle cost is calculated in two ways with a household marginal energy price and a national average energy price. The LCC results show that using an national average energy price produces higher LCC savings but does not reflect regional differences in energy price.

  13. NYSERDA's Green Jobs-Green New York Program: Extending Energy Efficiency Financing To Underserved Households

    SciTech Connect (OSTI)

    Zimring, Mark; Fuller, Merrian

    2011-01-24

    The New York legislature passed the Green Jobs-Green New York (GJGNY) Act in 2009. Administered by the New York State Energy Research and Development Authority (NYSERDA), GJGNY programs provide New Yorkers with access to free or low-cost energy assessments,1 energy upgrade services,2 low-cost financing, and training for various 'green-collar' careers. Launched in November 2010, GJGNY's residential initiative is notable for its use of novel underwriting criteria to expand access to energy efficiency financing for households seeking to participate in New York's Home Performance with Energy Star (HPwES) program.3 The GJGNY financing program is a valuable test of whether alternatives to credit scores can be used to responsibly expand credit opportunities for households that do not qualify for traditional lending products and, in doing so, enable more households to make energy efficiency upgrades.

  14. 1989 CBECS EUI

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

    4. Electricity Consumption and Conditional Energy Intensity for Buildings Heated with Electricity, 1992 Building Characteristics RSE Column Factor: Total Electricity Consumption...

  15. Buildings and Energy in the 1980's (TABLES)

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

    in Residential Buildings, 1984 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand)...

  16. Buildings and Energy in the 1980's (TABLES)

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

    in Residential Buildings, 1987 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand)...

  17. Buildings and Energy in the 1980's (TABLES)

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

    1982 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  18. Buildings and Energy in the 1980's (TABLES)

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

    1980 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  19. Buildings and Energy in the 1980's (TABLES)

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

    1981 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  20. 1989 CBECS EUI

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

    Season of Peak Electricity Demand, Number of Buildings and Floorspace, 1992 Building Characteristics RSE Column Factor: Number of Buildings (thousand) Total Floorspace (million...

  1. 1989 CBECS EUI

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

    9. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu)...

  2. 1989 CBECS EUI

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

    Energy Intensity for Sum of Major Fuels for Mercantile and Office Buildings, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu) Total...

  3. 1989 CBECS EUI

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

    Energy Intensity for Sum of Major Fuels in Older Buildings by Year Constructed, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu) Total...

  4. 1989 CBECS EUI

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

    Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu) Total...

  5. 1989 CBECS EUI

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

    Expenditures by Census Region for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Expenditures (million dollars) Sum of Major Fuel...

  6. Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines Greenhouse Gas Benefits of Urban

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines that were used to derive average household carbon footprints (HCF) for U.S. zip codes, cities, counties, and metropolitan areas. We find consistently lower HCF in urban core cities (40 tCO2e) and higher carbon footprints

  7. Using Circuit-Level Power Measurements in Household Energy Management Systems

    E-Print Network [OSTI]

    Han, Qi "Chee"

    to accurately measure en- ergy usage in the home. Measuring energy usage is not dif- ficult, however we must- formation for large appliances. However, the only way to monitor the energy usage of smaller devices. This paper explores an alternative, more practi- cal, approach to monitor household energy usage including

  8. HOUSEHOLD AND STRUCTURAL INSECTS Accuracy of Trained Canines for Detecting Bed Bugs (Hemiptera

    E-Print Network [OSTI]

    Wang, Changlu

    HOUSEHOLD AND STRUCTURAL INSECTS Accuracy of Trained Canines for Detecting Bed Bugs (Hemiptera) compared the effectiveness of visual inspection, passive pitfall-style interceptors, and active (with lure number of infestations was de- tected by passive pitfall-style monitors (70%) placed under the legs

  9. Vulnerability and household livelihoods in small scale fishing areas in Africa: An asset-based approach

    E-Print Network [OSTI]

    Krivobokova, Tatyana

    Vulnerability and household livelihoods in small scale fishing areas in Africa: An asset vulnerability to poverty and livelihood choices in small-scale fishing areas. The use of an asset on natural resources for their livelihoods, such as fishing, are often marginalized or ignored in national

  10. The residential landscape: fluxes of elements and the role of household decisions

    E-Print Network [OSTI]

    Thomas, David D.

    emissions from other household activities (e.g., fossil fuel CO2 emissions; Qian et al. 2003; Fissore et al to the landscape. The results have implications for understanding sources of urban pollution and the potential (Nowak et al. 2006), reducing nonpoint source pollution (Baker et al. 2008), and reducing energy use

  11. Clustering South African Households Based on their Asset Status Using Latent Variable Models.

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Clustering South African Households Based on their Asset Status Using Latent Variable Models into homogeneous groups based on their asset status. A model-based approach to clustering, based on latent variable and the models are combined to produce a hybrid model capable of handling mixed data types. Further, a mixture

  12. Household Energy Use and Travel: Opportunities for Behavioral Change Sashank Musti

    E-Print Network [OSTI]

    Kockelman, Kara M.

    of debate, both globally and nationally. Reducing energy consumption directly addresses each of these issues to curb global climate change, and most prefer caps on consumption over taxation. Data and empirical: Household energy consumption, transport energy, climate change, greenhouse gas emissions #12;2 INTRODUCTION

  13. Deforestation and Cattle Ranching in the Brazilian Amazon: External Capital and Household Processes

    E-Print Network [OSTI]

    Walker, Robert T.

    Deforestation and Cattle Ranching in the Brazilian Amazon: External Capital and Household Processes. INTRODUCTION Pasture creation and cattle ranches have been identi®ed as major factors in tropical defores of cattle ranching in Brazil has been particularly notable. Spurred by government incentive programs in Para

  14. HOUSEHOLD AND STRUCTURAL INSECTS Mineral Oil and Aliphatic Alcohols: Toxicity and Analysis of Synergistic

    E-Print Network [OSTI]

    O'Brien, Timothy E.

    HOUSEHOLD AND STRUCTURAL INSECTS Mineral Oil and Aliphatic Alcohols: Toxicity and Analysis. Entomol. 104(5): 1680Ð1686 (2011); DOI: http://dx.doi.org/10.1603/EC10440 ABSTRACT Two mineral oils and 12 and some- times repeated applications. Mineral oils, and other petroleum distillates, are often used

  15. Improving Device-level Electricity Consumption Breakdowns in Private Households Using ON/OFF Events

    E-Print Network [OSTI]

    , Switzerland tstaake@ethz.ch Silvia Santini Wireless Sensor Networks Lab TU Darmstadt 64283 Darmstadt, Germany recommen- dations on how to reduce the overall energy consumption of the household. In this paper, we build Descriptors H.4 [Information Systems Applications]: Miscellaneous 1. INTRODUCTION The energy sector

  16. A Multi Agent-Based Framework for Simulating Household PHEV Distribution and Electric Distribution Network Impact

    SciTech Connect (OSTI)

    Cui, Xiaohui [ORNL] [ORNL; Liu, Cheng [ORNL] [ORNL; Kim, Hoe Kyoung [ORNL] [ORNL; Kao, Shih-Chieh [ORNL] [ORNL; Tuttle, Mark A [ORNL] [ORNL; Bhaduri, Budhendra L [ORNL] [ORNL

    2011-01-01

    The variation of household attributes such as income, travel distance, age, household member, and education for different residential areas may generate different market penetration rates for plug-in hybrid electric vehicle (PHEV). Residential areas with higher PHEV ownership could increase peak electric demand locally and require utilities to upgrade the electric distribution infrastructure even though the capacity of the regional power grid is under-utilized. Estimating the future PHEV ownership distribution at the residential household level can help us understand the impact of PHEV fleet on power line congestion, transformer overload and other unforeseen problems at the local residential distribution network level. It can also help utilities manage the timing of recharging demand to maximize load factors and utilization of existing distribution resources. This paper presents a multi agent-based simulation framework for 1) modeling spatial distribution of PHEV ownership at local residential household level, 2) discovering PHEV hot zones where PHEV ownership may quickly increase in the near future, and 3) estimating the impacts of the increasing PHEV ownership on the local electric distribution network with different charging strategies. In this paper, we use Knox County, TN as a case study to show the simulation results of the agent-based model (ABM) framework. However, the framework can be easily applied to other local areas in the US.

  17. Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose

    Broader source: Energy.gov [DOE]

    In 2009, getting to and from work accounted for about 27% of household vehicle-miles of travel (VMT). Work-related business was 8.4% of VMT in 2001, but declined to 6.7% in 2009, possibly due to...

  18. Material World: Forecasting Household Appliance Ownership in a Growing Global Economy

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23

    Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

  19. S U P P L E M E N T A R T I C L E Determinants of Household Costs Associated

    E-Print Network [OSTI]

    Rheingans, Richard

    S U P P L E M E N T A R T I C L E Determinants of Household Costs Associated With Childhood households. We used survey data from sites in Bangladesh, India, and Pakistan to estimate the costs borne by households due to childhood diarrhea, including direct medical costs, direct nonmedical costs

  20. Characteristic Evolution and Matching

    E-Print Network [OSTI]

    Jeffrey Winicour

    2005-12-08

    I review the development of numerical evolution codes for general relativity based upon the characteristic initial value problem. Progress is traced from the early stage of 1D feasibility studies to 2D axisymmetric codes that accurately simulate the oscillations and gravitational collapse of relativistic stars and to current 3D codes that provide pieces of a binary black spacetime. A prime application of characteristic evolution is to compute waveforms via Cauchy-characteristic matching, which is also reviewed.

  1. Characteristic Evolution and Matching

    E-Print Network [OSTI]

    Jeffrey Winicour

    2012-01-12

    I review the development of numerical evolution codes for general relativity based upon the characteristic initial value problem. Progress in characteristic evolution is traced from the early stage of 1D feasibility studies to 2D axisymmetric codes that accurately simulate the oscillations and gravitational collapse of relativistic stars and to current 3D codes that provide pieces of a binary black hole spacetime. Cauchy codes have now been successful at simulating all aspects of the binary black hole problem inside an artificially constructed outer boundary. A prime application of characteristic evolution is to extend such simulations to null infinity where the waveform from the binary inspiral and merger can be unambiguously computed. This has now been accomplished by Cauchy-characteristic extraction, where data for the characteristic evolution is supplied by Cauchy data on an extraction worldtube inside the artificial outer boundary. The ultimate application of characteristic evolution is to eliminate the role of this outer boundary by constructing a global solution via Cauchy-characteristic matching. Progress in this direction is discussed.

  2. Unmet Housing Rehabilitation and Household Goods Needs in Texas During Katrina-Rita, 2005 

    E-Print Network [OSTI]

    Finley, Dayna

    2012-07-11

    Area Information Center CD Compact Disk FCC Federal Communication Commission FEMA Federal Emergency Management Agency HUD Department of Housing and Urban Development HVAC Heating Ventilation and Air Conditioning I and R Information and Referral... ...................................................................................................................... 34 3.7 Map of 2-1-1 Calls for Unmet Housing Rehabilitation Needs in Texas, Fall 2005, Adjusted by Population. ............................................................................ 37 3.8 Map of 2-1-1 Calls for Unmet Household...

  3. Development of program implementation, evaluation, and selection tools for household water treatment and safe storage systems in developing countries

    E-Print Network [OSTI]

    Baffrey, Robert Michael Nuval, 1977-

    2005-01-01

    Over the past six years, the MIT Department of Civil and Environmental Engineering's Master of Engineering program has undertaken various projects involved with the design and implementation of a wide range of household ...

  4. Implementation of a stepped-wedge cluster randomized design in routine public health practice: Design and application for a tuberculosis (TB) household contact study in a high burden area of Lima, Peru

    E-Print Network [OSTI]

    2015-01-01

    Household Contacts; ACF: Active Case Finding; PCF: Passivehousehold contact, and the underperformance of their current passive

  5. Evaluation of bulk paint worker exposure to solvents at household hazardous waste collection events

    SciTech Connect (OSTI)

    Cameron, M.

    1995-09-01

    In fiscal year 93/94, over 250 governmental agencies were involved in the collection of household hazardous wastes in the State of California. During that time, over 3,237,000 lbs. of oil based paint were collected in 9,640 drums. Most of this was in lab pack drums, which can only hold up to 20 one gallon cans. Cost for disposal of such drums is approximately $1000. In contrast, during the same year, 1,228,000 lbs. of flammable liquid were collected in 2,098 drums in bulk form. Incineration of bulked flammable liquids is approximately $135 per drum. Clearly, it is most cost effective to bulk flammable liquids at household hazardous waste events. Currently, this is the procedure used at most Temporary Household Hazardous Waste Collection Facilities (THHWCFs). THHWCFs are regulated by the Department of Toxic Substances Control (DTSC) under the new Permit-by Rule Regulations. These regulations specify certain requirements regarding traffic flow, emergency response notifications and prevention of exposure to the public. The regulations require that THHWCF operators bulk wastes only when the public is not present. [22 CCR, section 67450.4 (e) (2) (A)].Santa Clara County Environmental Health Department sponsors local THHWCF`s and does it`s own bulking. In order to save time and money, a variance from the regulation was requested and an employee monitoring program was initiated to determine actual exposure to workers. Results are presented.

  6. Measurement of Organophosphate Pesticides, Organochlorine Pesticides, and Polycyclic Aromatic Hydrocarbons in Household Dust from Two Rural Villages in Nepal 

    E-Print Network [OSTI]

    Cizmas, Leslie; Ackerman, Lani; Donnelly, Danielle A.; Donnelly, Kirby C.; McDonald, Thomas J.

    2015-01-16

    January 16, 2015 Citation: Cizmas L, Ackerman L, Donnelly DA, Donnelly KC, McDonald TJ (2015) Measurement of Organophosphate Pesticides, Organochlorine Pesticides, and Polycyclic Aromatic Hydrocarbons in Household Dust from Two Rural Villages in Nepal..., and reproduction in any medium, provided the original author and source are credited. Measurement of Organophosphate Pesticides, Organochlorine Pesticides, and Polycyclic Aromatic Hydrocarbons in Household Dust from Two Rural Villages in Nepal Leslie Cizmas1...

  7. Household disposables as breeding habitats of dengue vectors: Linking wastes and public health

    SciTech Connect (OSTI)

    Banerjee, Soumyajit, E-mail: soumyajitb@gmail.com [Department of Zoology, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019 (India); Aditya, Gautam, E-mail: gautamaditya2001@gmail.com [Department of Zoology, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019 (India); Department of Zoology, The University of Burdwan, Golapbag, Burdwan 713 104 (India); Saha, Goutam K, E-mail: gkszoo@rediffmail.com [Department of Zoology, University of Calcutta, 35 Ballygunge Circular Road, Kolkata 700 019 (India)

    2013-01-15

    Highlights: Black-Right-Pointing-Pointer An assessment of different household wastes as larval habitats of dengue vectors Aedes aegypti and Aedes albopictus was made using Kolkata, India as a model geographical area. Black-Right-Pointing-Pointer Household wastes of four major categories namely earthen, porcelain, plastic and coconut shells varied significantly for Aedes immature depending on species, month and location. Black-Right-Pointing-Pointer Based on the relative density of Aedes immature, cluster analyses allowed segregation and classification of the waste containers and relative importance as mosquito larval habitats. Black-Right-Pointing-Pointer Conversion of disposed wastes into larval habitats cautions for continuance of Aedes population in Kolkata and similar cities of tropics lacking suitable waste management practices. - Abstract: An assessment of the household wastes as larval habitats of the dengue vectors was made considering Kolkata, India, as geographical area. Wastes of four major categories, namely, earthen, porcelain, plastic and coconut shells were monitored for positive with immature of either Aedes aegypti or Aedes albopictus. Twenty six types of wastes with varying size and shape, resembling containers, were identified that hosted mosquito immature. The number of waste containers positive for Aedes immature varied significantly (P < 0.05) with respect to location, type and month. The relative density of Aedes immature in the waste containers varied significantly (P < 0.05) with the types and months. The significant interaction between the month, waste container types and density of Aedes immature suggest that the household wastes are important contributors to the maintenance of the population of Aedes mosquito in the city. Based on the relative density of mosquito immature in the wastes, cluster analysis allowed segregation and classification of the wastes and their importance as mosquito larval habitats. Apparently, the containers that are most frequently disposed off contributed largely to the sustenance of Aedes mosquito population in the city. This calls for a strict legislation towards disposal as well as enhanced management of the household wastes. A link between the wastes disposed and subsequent conversion to the mosquito larval habitats cautions for continuance of Aedes population and possibility of dengue epidemics if the existing management practices are not improved.

  8. Household`s choices of efficiency levels for appliances: Using stated- and revealed-preference data to identify the importance of rebates and financing arrangements

    SciTech Connect (OSTI)

    Train, K.; Atherton, T.

    1994-11-01

    We examine customers` choice between standard and high-efficiency equipment, and the impact of utility incentives such as rebates and loans on this decision. Using data from interviews with 400 households, we identify the factors that customers consider in their choice of efficiency level for appliances and the relative importance of these factors. We build a model that describes customers` choices and can be used to predict choices in future situations under changes in the attributes of appliances and in the utility`s DSM and as part of the appliance-choice component of utilities` end-use forecasting systems. As examples, the model is used to predict the impacts of: doubling the size of rebates, replacing rebates with financing programs, and offering loans and rebates as alternative options for customers.

  9. Characteristic (Version A)

    E-Print Network [OSTI]

    Characteristic Solar AUV (Version A) Solar AUV (Version B) Depth 1000 m 1000 m Daily transit 30 m2 1.8 m2 Weight 90 kg 200 kg Figure 1 Solar Powered AUV Testbeds Solar Powered Autonomous Undersea that impact. Low cost, unmanned, long endurance mobile sampling systems are, in many cases, a desirable

  10. The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2008-06-01

    In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

  11. Household magnets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHigh energyHighlandWorkshop-Summer 2014to PLAs HourlyA2.

  12. Factors associated with mosquito net use by individuals in households owning nets in Ethiopia

    E-Print Network [OSTI]

    Graves, Patricia M.; Ngondi, Jeremiah M.; Hwang, Jimee; Getachew, Asefaw; Gebre, Teshome; Mosher, Aryc W.; Patterson, Amy E.; Shargie, Estifanos B.; Tadesse, Zerihun; Wolkon, Adam; Reithinger, Richard; Emerson, Paul M.; Richards, Frank O. Jr

    2011-12-13

    age and gender [5,7-10], education, occupation/livelihood [11-13], degree of con- trol over household decision-making [14], malaria knowledge, beliefs and risk perceptions [5,15-21], per- ceived benefits and disadvantages of nets [5,17,18,21], trust... or while tending livestock, attending late- night social events, disruption of usual sleeping arrange- ments, net unavailability due to washing or dirtiness, extreme fatigue, labour pains, illness or forgetfulness [13,27,30-32]. This study builds on a...

  13. Assessment of lead contamination in Bahrain environment. I. Analysis of household paint

    SciTech Connect (OSTI)

    Madany, I.M.; Ali, S.M.; Akhter, M.S.

    1987-01-01

    The analysis of lead in household paint collected from various old buildings in Bahrain is reported. The atomic absorption spectrophotometric method, both flame and flameless (graphite furnace) techniques, were used for the analysis. The concentrations of lead in paint were found in the range 200 to 5700 mg/kg, which are low compared to the limit of 0.5% in UK and 0.06% in USA. Nevertheless, these are hazardous. Recommendations are reported in order to avoid paint containing lead. 17 references, 1 table.

  14. Estimation of the urban household demand for water in the United States 

    E-Print Network [OSTI]

    Foster, Henry Sessam

    1977-01-01

    Htctec FIi3iiary Academy Chai:man of Advisory Commi. t Lee: Br. iiruce R. B' aItie This research was rnndertai~en to specify;. nd estimat? model rc- 1- ting household demand lor urban water i. o its principal dcLcrImLnun Ls. Feud specif ic objectives... were ustabldshed to guide the analysis: To postulaLo; n srpropriaLc:-c nomic demand mcdcl for house- ho]ds uh To estimate. pam motors of *hc model based. on pcoi cd data re?resent' ng uli. of the U. H, '3. To csc-blish cL ULor:a for a. breawdcwn...

  15. Commercializing Light-Duty Plug-In/Plug-Out Hydrogen-Fuel-Cell Vehicles: "Mobile Electricity" Technologies, Early California Household Markets, and Innovation Management

    E-Print Network [OSTI]

    Williams, Brett D

    2010-01-01

    assessment for fuel cell electric vehicles." Argonne, Ill. :of Plug-In Hybrid Electric Vehicles on Wind Energy Markets,"Recharging and Household Electric Vehicle Market: A Near-

  16. PART II: HOUSEHOLD RESOURCES INFORMATION Please report below any amount received in 2014 by you and your parent(s). Report total amount received for the entire year.

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    saving account? ·Yes Amount $________ · No ·Yes Amount $________ · No 2015-2016 Verification:___________________________ If your total annual household income falls below the following 2014 Federal Poverty Guidelines, please

  17. PART II: HOUSEHOLD RESOURCES INFORMATION Please report below any amount received in 2014 by you and your spouse, if married. Report total amount received for the entire

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Amount $________ · No ...Pay into a health saving account? ·Yes Amount $________ · No ·Yes Amount:___________________________ If your total annual household income falls below the following 2014 Federal Poverty Guidelines , please

  18. Concentrated solar thermal (cst) system for fuelwood replacement and for household water sanitation in developing countries.

    SciTech Connect (OSTI)

    Akinjiola, O. P.; Balachandran, U. (Energy Systems); (Rsage Research, LLC)

    2012-01-01

    Concentrated Solar Thermal (CST) is a proven renewable energy technology that harnesses solar irradiation in its most primitive form. This technology with roots in ancient history is growing at a fast pace in recent times. Developing countries could use CST to solve fundamental human-needs challenges, such as for the substitution of fuelwood and the treatment of water for household use. This paper proposes a conceptual design for a standardized modular CST for these applications in developing countries. A modular-designed parabolic CST with an aperture area of 7.5 m2 is adequate to provide enough solar thermal energy to replace the fuelwood need (5 tons/yr) or to pasteurize the minimum daily water requirement (2500 liters) for a household. Critical parameters of the CST are discussed and an affordable solid thermal storage is recommended to be used as a backup when sunlight is unavailable. A funding program that includes in-country resources and external funding will be needed to sustain the development and wide spread adaptation of this technology.

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

    SciTech Connect (OSTI)

    Johnson, Brandon J [ORNL] [ORNL; Starke, Michael R [ORNL] [ORNL; Abdelaziz, Omar [ORNL] [ORNL; Jackson, Roderick K [ORNL] [ORNL; Tolbert, Leon M [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK)

    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.

  20. Survey of Recipients of WAP Services Assessment of Household Budget and Energy Behaviors Pre to Post Weatherization DOE

    SciTech Connect (OSTI)

    Tonn, Bruce Edward; Rose, Erin M.; Hawkins, Beth A.

    2015-10-01

    This report presents results from the national survey of weatherization recipients. This research was one component of the retrospective and Recovery Act evaluations of the U.S. Department of Energy s Weatherization Assistance Program. Survey respondents were randomly selected from a nationally representative sample of weatherization recipients. The respondents and a comparison group were surveyed just prior to receiving their energy audits and then again approximately 18 months post-weatherization. This report focuses on budget issues faced by WAP households pre- and post-weatherization, whether household energy behaviors changed from pre- to post, the effectiveness of approaches to client energy education, and use and knowledge about thermostats.

  1. CommunityOrganizedHouseholdWaterIncreasesNot Only Rural incomes, but AlsoMen’sWork

    E-Print Network [OSTI]

    Corw, Ben; Swallow, Brent; Asamba, Isabella

    2012-01-01

    average incomes in this group of seven springs. Kipsotet, as1. Characteristics of the seven spring groups Spring Group

  2. 2003 Commercial Buildings Energy Consumption - What is an RSE

    Gasoline and Diesel Fuel Update (EIA)

    may or may not be statistically significant. Statistical significance is computed as: equation where S is the standard error, x1 is the first estimate, and x2 is the second...

  3. 2003 Commercial Buildings Energy Consumption - What is an RSE

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic MonthlyTechnical Information >

  4. Re: NBP RFI: CommunicationRse quirements | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudget ||Department ofRequest7ofPlan by StudyingConsumersRe:

  5. Study of Use of Products and Exposure-Related Behaviors (SUPERB): study design, methods, and demographic characteristics of cohorts

    E-Print Network [OSTI]

    Hertz-Picciotto, Irva; Cassady, Diana; Lee, Kiyoung; Bennett, Deborah H; Ritz, Beate; Vogt, Raea

    2010-01-01

    Tier III: Passive monitoring of household & personal carethe household at the start and end of the week. The passivePassive Monitoring Seasonally for 16 months n=30 northern CA n=17 central CA Food: household

  6. An Analysis of the Price Elasticity of Demand for Household Appliances

    SciTech Connect (OSTI)

    Fujita, Kimberly; Dale, Larry; Fujita, K. Sydny

    2008-01-25

    This report summarizes our study of the price elasticity of demand for home appliances, including refrigerators, clothes washers, and dishwashers. In the context of increasingly stringent appliance standards, we are interested in what kind of impact the increased manufacturing costs caused by higher efficiency requirements will have on appliance sales. We begin with a review of existing economics literature describing the impact of economic variables on the sale of durable goods.We then describe the market for home appliances and changes in this market over the past 20 years, performing regression analysis on the shipments of home appliances and relevant economic variables including changes to operating cost and household income. Based on our analysis, we conclude that the demand for home appliances is price inelastic.

  7. Water availability at farm household level a case study in the Nyando district in South-Western Kenya

    E-Print Network [OSTI]

    Water availability at farm household level ­ a case study in the Nyando district in South of Crop Production Ecology Uppsala 2011 Swedish University of Agricultural Sciences #12;2 Water: Women collecting water in a well, Onjiko, Kenya. Photo: Erika Näslund Keywords: Water availability

  8. Abstract--Numerous studies have shown that households' consumption is an important part of the total energy consumed

    E-Print Network [OSTI]

    Beigl, Michael

    consumption and for about 50% of the total electricity consumption [1]. Therefore it is important to explore one of them. The interviewees preferred receiving electricity consumption feedback from a bill, a web1 Abstract--Numerous studies have shown that households' consumption is an important part

  9. 1 THE WELFARE IMPLICATIONS OF CARBON TAXES AND CARBON 2 CAPS: A LOOK AT U.S. HOUSEHOLDS

    E-Print Network [OSTI]

    Kockelman, Kara M.

    . Nations all over51 are debating policies to reduce emissions of carbon dioxide (CO2) and other greenhouse reductions. #12;47 Keywords: Carbon emissions, Carbon trading, Carbon credits, Cap and trade, Welfare1 THE WELFARE IMPLICATIONS OF CARBON TAXES AND CARBON 2 CAPS: A LOOK AT U.S. HOUSEHOLDS 3 4 Sumala

  10. Food Grinders and Sustainable Food Waste Disposal Objective: Explore the environmental viability of household and commercial food

    E-Print Network [OSTI]

    Wolberg, George

    Food Grinders and Sustainable Food Waste Disposal Objective: Explore the environmental viability of household and commercial food grinders by quantifying their impact in an urban setting. Background: Food cities, food wastes are disposed of in two ways. Liquid waste--including ground up food waste

  11. WHAT IS THE MASTER COMPOSTER PROGRAM? Between 10 and 25 % of a typical household's waste can be

    E-Print Network [OSTI]

    Alpay, S. Pamir

    WHAT IS THE MASTER COMPOSTER PROGRAM? Between 10 and 25 % of a typical household's waste can in partnership with the Connecticut Recyclers Coalition, is offering the Master Composter Program to educate and train state residents about the composting process and to assist participants in passing this knowledge

  12. The value of bushmeat and other wild foods to rural households living in extreme poverty in Democratic Republic

    E-Print Network [OSTI]

    Langerhans, Brian

    The value of bushmeat and other wild foods to rural households living in extreme poverty between poverty and the use of wild foods, namely bushmeat, fish and wild plants, within a Congolese poverty (income below US$1 per capita per day). Our analyses indicate that wild foods play a small role

  13. Wafer characteristics via reflectometry

    DOE Patents [OSTI]

    Sopori, Bhushan L. (Denver, CO)

    2010-10-19

    Various exemplary methods (800, 900, 1000, 1100) are directed to determining wafer thickness and/or wafer surface characteristics. An exemplary method (900) includes measuring reflectance of a wafer and comparing the measured reflectance to a calculated reflectance or a reflectance stored in a database. Another exemplary method (800) includes positioning a wafer on a reflecting support to extend a reflectance range. An exemplary device (200) has an input (210), analysis modules (222-228) and optionally a database (230). Various exemplary reflectometer chambers (1300, 1400) include radiation sources positioned at a first altitudinal angle (1308, 1408) and at a second altitudinal angle (1312, 1412). An exemplary method includes selecting radiation sources positioned at various altitudinal angles. An exemplary element (1650, 1850) includes a first aperture (1654, 1854) and a second aperture (1658, 1858) that can transmit reflected radiation to a fiber and an imager, respectfully.

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

    SciTech Connect (OSTI)

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

    1992-10-01

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

  15. Alternative Fuel Vehicles: The Case of Compressed Natural Gas (CNG) Vehicles in California Households

    E-Print Network [OSTI]

    Abbanat, Brian A.

    2001-01-01

    Infrastructure F. Current California CNG Vehicle UseCharacteristics of CNG Vehicles Review of Previous Studies/RP) Studies of AFVs/CNG Vehicles i. British Columbia, Canada

  16. Sensor Characteristics Reference Guide

    SciTech Connect (OSTI)

    Cree, Johnathan V.; Dansu, A.; Fuhr, P.; Lanzisera, Steven M.; McIntyre, T.; Muehleisen, Ralph T.; Starke, M.; Banerjee, Pranab; Kuruganti, T.; Castello, C.

    2013-04-01

    The Buildings Technologies Office (BTO), within the U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), is initiating a new program in Sensor and Controls. The vision of this program is: • Buildings operating automatically and continuously at peak energy efficiency over their lifetimes and interoperating effectively with the electric power grid. • Buildings that are self-configuring, self-commissioning, self-learning, self-diagnosing, self-healing, and self-transacting to enable continuous peak performance. • Lower overall building operating costs and higher asset valuation. The overarching goal is to capture 30% energy savings by enhanced management of energy consuming assets and systems through development of cost-effective sensors and controls. One step in achieving this vision is the publication of this Sensor Characteristics Reference Guide. The purpose of the guide is to inform building owners and operators of the current status, capabilities, and limitations of sensor technologies. It is hoped that this guide will aid in the design and procurement process and result in successful implementation of building sensor and control systems. DOE will also use this guide to identify research priorities, develop future specifications for potential market adoption, and provide market clarity through unbiased information

  17. Household mold and dust allergens: Exposure, sensitization and childhood asthma morbidity

    SciTech Connect (OSTI)

    Gent, Janneane F.; Kezik, Julie M.; Hill, Melissa E.; Tsai, Eling; Li, De-Wei; Leaderer, Brian P.

    2012-10-15

    Background: Few studies address concurrent exposures to common household allergens, specific allergen sensitization and childhood asthma morbidity. Objective: To identify levels of allergen exposures that trigger asthma exacerbations in sensitized individuals. Methods: We sampled homes for common indoor allergens (fungi, dust mites (Der p 1, Der f 1), cat (Fel d 1), dog (Can f 1) and cockroach (Bla g 1)) for levels associated with respiratory responses among school-aged children with asthma (N=1233) in a month-long study. Blood samples for allergy testing and samples of airborne fungi and settled dust were collected at enrollment. Symptoms and medication use were recorded on calendars. Combined effects of specific allergen sensitization and level of exposure on wheeze, persistent cough, rescue medication use and a 5-level asthma severity score were examined using ordered logistic regression. Results: Children sensitized and exposed to any Penicillium experienced increased risk of wheeze (odds ratio [OR] 2.12 95% confidence interval [CI] 1.12, 4.04), persistent cough (OR 2.01 95% CI 1.05, 3.85) and higher asthma severity score (OR 1.99 95% CI 1.06, 3.72) compared to those not sensitized or sensitized but unexposed. Children sensitized and exposed to pet allergen were at significantly increased risk of wheeze (by 39% and 53% for Fel d 1>0.12 {mu}g/g and Can f 1>1.2 {mu}g/g, respectively). Increased rescue medication use was significantly associated with sensitization and exposure to Der p 1>0.10 {mu}g/g (by 47%) and Fel d 1>0.12 {mu}g/g (by 32%). Conclusion: Asthmatic children sensitized and exposed to low levels of common household allergens Penicillium, Der p 1, Fel d 1 and Can f 1 are at significant risk for increased morbidity. - Highlights: Black-Right-Pointing-Pointer Few studies address concurrent allergen exposures, sensitization and asthma morbidity. Black-Right-Pointing-Pointer Children with asthma were tested for sensitivity to common indoor allergens. Black-Right-Pointing-Pointer Homes were sampled for these allergens and asthma morbidity monitored during the subsequent month. Black-Right-Pointing-Pointer Children exposed and sensitized to Penicillium, Der p, Fel d, Can f risk increased asthma morbidity. Black-Right-Pointing-Pointer These children might benefit from targeted intervention strategies.

  18. Abstract This paper examines farm and household characteristics associated with a rapid fertility decline in a forest frontier of the Ecuadorian Amazon.

    E-Print Network [OSTI]

    Lopez-Carr, David

    -mail: david_carr@unc.edu W. K. Y. Pan Department of International Health, The Johns Hopkins University on the frontier: the Ecuadorian Amazon David L. Carr Æ William K. Y. Pan Æ Richard E. Bilsborrow Received: 12 that is traditionally D. L. Carr (&) Department of Geography, University of California, Santa Barbara, CA 93103, USA e

  19. Status of not-in-kind refrigeration technologies for household space conditioning, water heating and food refrigeration

    SciTech Connect (OSTI)

    Bansal, Pradeep; Vineyard, Edward Allan; Abdelaziz, Omar

    2012-01-01

    This paper presents a review of the next generation not-in-kind technologies to replace conventional vapor compression refrigeration technology for household applications. Such technologies are sought to provide energy savings or other environmental benefits for space conditioning, water heating and refrigeration for domestic use. These alternative technologies include: thermoacoustic refrigeration, thermoelectric refrigeration, thermotunneling, magnetic refrigeration, Stirling cycle refrigeration, pulse tube refrigeration, Malone cycle refrigeration, absorption refrigeration, adsorption refrigeration, and compressor driven metal hydride heat pumps. Furthermore, heat pump water heating and integrated heat pump systems are also discussed due to their significant energy saving potential for water heating and space conditioning in households. The paper provides a snapshot of the future R&D needs for each of the technologies along with the associated barriers. Both thermoelectric and magnetic technologies look relatively attractive due to recent developments in the materials and prototypes being manufactured.

  20. A Taxonomy of Usability Characteristics

    E-Print Network [OSTI]

    Gabbard, Joseph L.

    A Taxonomy of Usability Characteristics in Virtual Environments Deliverable to Office of Naval This document can be found at http://csgrad.cs.vt.edu/jgabbard/ve/taxonomy/ #12;#12;A Taxonomy of Usability accomplished, yielding a comprehensive multi-dimensional taxonomy of usability characteristics specifically

  1. SEDIMENTATION CHARACTERISTICS OF Giardia intestinalis

    E-Print Network [OSTI]

    Thomas, Dave

    SEDIMENTATION CHARACTERISTICS OF Giardia intestinalis CYSTS--RELEVANCE TO STANDARD METHODS _________________________________ _________________________________ #12;iii SEDIMENTATION CHARACTERISTICS OF Giardia intestinalis CYSTS--RELEVANCE TO STANDARD METHODS OF DETECTION By David J. Thomas May 1993 I investigated the sedimentation time of Giardia intestinalis cysts

  2. Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel

    SciTech Connect (OSTI)

    Lebersorger, S.; Beigl, P.

    2011-09-15

    Waste management planning requires reliable data concerning waste generation, influencing factors on waste generation and forecasts of waste quantities based on facts. This paper aims at identifying and quantifying differences between different municipalities' municipal solid waste (MSW) collection quantities based on data from waste management and on socio-economic indicators. A large set of 116 indicators from 542 municipalities in the Province of Styria was investigated. The resulting regression model included municipal tax revenue per capita, household size and the percentage of buildings with solid fuel heating systems. The model explains 74.3% of the MSW variation and the model assumptions are met. Other factors such as tourism, home composting or age distribution of the population did not significantly improve the model. According to the model, 21% of MSW collected in Styria was commercial waste and 18% of the generated MSW was burned in domestic heating systems. While the percentage of commercial waste is consistent with literature data, practically no literature data are available for the quantity of MSW burned, which seems to be overestimated by the model. The resulting regression model was used as basis for a waste prognosis model (Beigl and Lebersorger, in preparation).

  3. The evolving price of household LED lamps: Recent trends and historical comparisons for the US market

    SciTech Connect (OSTI)

    Gerke, Brian F.; Ngo, Allison T.; Alstone, Andrea L.; Fisseha, Kibret S.

    2014-10-14

    In recent years, household LED light bulbs (LED A lamps) have undergone a dramatic price decline. Since late 2011, we have been collecting data, on a weekly basis, for retail offerings of LED A lamps on the Internet. The resulting data set allows us to track the recent price decline in detail. LED A lamp prices declined roughly exponentially with time in 2011-2014, with decline rates of 28percent to 44percent per year depending on lumen output, and with higher-lumen lamps exhibiting more rapid price declines. By combining the Internet price data with publicly available lamp shipments indices for the US market, it is also possible to correlate LED A lamp prices against cumulative production, yielding an experience curve for LED A lamps. In 2012-2013, LED A lamp prices declined by 20-25percent for each doubling in cumulative shipments. Similar analysis of historical data for other lighting technologies reveals that LED prices have fallen significantly more rapidly with cumulative production than did their technological predecessors, which exhibited a historical decline of 14-15percent per doubling of production.

  4. LCA for household waste management when planning a new urban settlement

    SciTech Connect (OSTI)

    Slagstad, Helene; Brattebo, Helge

    2012-07-15

    Highlights: Black-Right-Pointing-Pointer Household waste management of a new carbon neutral settlement. Black-Right-Pointing-Pointer EASEWASTE as a LCA tool to compare different centralised and decentralised solutions. Black-Right-Pointing-Pointer Environmental benefit or close to zero impact in most of the categories. Black-Right-Pointing-Pointer Paper and metal recycling important for the outcome. Black-Right-Pointing-Pointer Discusses the challenges of waste prevention planning. - Abstract: When planning for a new urban settlement, industrial ecology tools like scenario building and life cycle assessment can be used to assess the environmental quality of different infrastructure solutions. In Trondheim, a new greenfield settlement with carbon-neutral ambitions is being planned and five different scenarios for the waste management system of the new settlement have been compared. The results show small differences among the scenarios, however, some benefits from increased source separation of paper and metal could be found. The settlement should connect to the existing waste management system of the city, and not resort to decentralised waste treatment or recovery methods. However, as this is an urban development project with ambitious goals for lifestyle changes, effort should be put into research and initiatives for proactive waste prevention and reuse issues.

  5. Weatherization assistance for low-income households: An evaluation of local program performance

    SciTech Connect (OSTI)

    Schweitzer, M.; Rayner, S.; Wolfe, A.K.; Mason, T.W.; Ragins, B.R.; Cartor, R.A.

    1987-08-01

    The US Department of Energy's Weatherization Assistance Program (WAP) funds local agencies to provide weatherization services to low-income households. This report describes the most salient features of this program, examines relationships between organization and program outcomes, and presents recommendations for the program's further development. Data were collected by written surveys administered to local weatherization agencies, a telephone survey of 38 states and eight DOE support offices, and site visits to selected local agencies. Locally controlled factors found to be significantly related to program performance include the amount of the weatherization director's time spent on program administration, the use of established client selection criteria, the frequency of evaluation of local goal attainment, and the type of weatherization crews used. Factors controlled at the state or federal levels that influence program performance include delays in state reimbursements of local agency expenditures and local flexibility in the choice of weatherization measures. Data-gathering difficulties experienced during this project indicate a need for possible improvements in goal-setting and record-keeping procedures.

  6. Influence of assumptions about household waste composition in waste management LCAs

    SciTech Connect (OSTI)

    Slagstad, Helene, E-mail: helene.slagstad@ntnu.no [Department of Hydraulic and Environmental Engineering, Norwegian University of Science and Technology, N-7491 Trondheim (Norway); Brattebo, Helge [Department of Hydraulic and Environmental Engineering, Norwegian University of Science and Technology, N-7491 Trondheim (Norway)

    2013-01-15

    Highlights: Black-Right-Pointing-Pointer Uncertainty in waste composition of household waste. Black-Right-Pointing-Pointer Systematically changed waste composition in a constructed waste management system. Black-Right-Pointing-Pointer Waste composition important for the results of accounting LCA. Black-Right-Pointing-Pointer Robust results for comparative LCA. - Abstract: This article takes a detailed look at an uncertainty factor in waste management LCA that has not been widely discussed previously, namely the uncertainty in waste composition. Waste composition is influenced by many factors; it can vary from year to year, seasonally, and with location, for example. The data publicly available at a municipal level can be highly aggregated and sometimes incomplete, and performing composition analysis is technically challenging. Uncertainty is therefore always present in waste composition. This article performs uncertainty analysis on a systematically modified waste composition using a constructed waste management system. In addition the environmental impacts of several waste management strategies are compared when applied to five different cities. We thus discuss the effect of uncertainty in both accounting LCA and comparative LCA. We found the waste composition to be important for the total environmental impact of the system, especially for the global warming, nutrient enrichment and human toxicity via water impact categories.

  7. Collection and representation of GIS data to aid household water treatment and safe storage technology implementation in the northern region of Ghana

    E-Print Network [OSTI]

    VanCalcar, Jenny E. (Jenny Elizabeth)

    2006-01-01

    In 2005, a start-up social business called Pure Home Water (PHW) was begun in Ghana to promote and sell household water treatment and safe storage (HWTS) technologies. The original aim of the company was to offer a variety ...

  8. Have Section 8 Vouchers Increased Tenant Mobility in Los Angeles? Comparing Locational Distribution of Section 8 Households from 1997 to 2002

    E-Print Network [OSTI]

    Rafael Yaquian-Illescas

    2004-01-01

    those households (HUD 2003). Section 8 participants receiveobtained from HUD 2004) V. Section 8 Locational Patterns inHUD began to conduct rent reasonableness tests for the Section 8

  9. Simulation of household in-home and transportation energy use : an integrated behavioral model for estimating energy consumption at the neighborhood scale

    E-Print Network [OSTI]

    Yu, Feifei, S.M. Massachusetts Institute of Technology

    2013-01-01

    Household in-home activities and out-of-home transportation are two major sources of urban energy consumption. In light of China's rapid urbanization and income growth, changing lifestyles and consumer patterns - evident ...

  10. The economics of US greenhouse gas emissions reduction policy : assessing distributional effects across households and the 50 United States using a recursive dynamic computable general equilibrium (CGE) model

    E-Print Network [OSTI]

    Look, Wesley Allen

    2013-01-01

    The political economy of US climate policy has revolved around state- and district- level distributional economics, and to a lesser extent household-level distribution questions. Many politicians and analysts have suggested ...

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

    SciTech Connect (OSTI)

    Poyer, D.A.; Teotia, A.P.S.; Henderson, L.

    1998-05-01

    Residential energy cost, an important part of the household budget, varies significantly across different population groups. In the United States, researchers have conducted many studies of household fuel consumption by fuel type -- electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG) -- and by geographic areas. The results of past research have also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, research shows that residential energy demand by fuel type for Latinos, the fastest-growing population group in the United States, has not been explained by economic and noneconomic factors in any available statistical model. This paper presents a discussion of energy demand and expenditure patterns for Latino and non-Latino households in the United States. The statistical model developed to explain fuel consumption and expenditures for Latino households is based on Stone and Geary`s linear expenditure system model. For comparison, the authors also developed models for energy consumption in non-Latino, black, and nonblack households. These models estimate consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. The study revealed significant variations in the patterns of fuel consumption for Latinos and non-Latinos. The model methodology and results of this research should be useful to energy policymakers in government and industry, researchers, and academicians who are concerned with economic and energy issues related to various population groups.

  12. Status Characteristics and Expectation States 

    E-Print Network [OSTI]

    Berger, Joseph; Cohen, Bernard P.; Zelditch, Morris Jr.

    2015-07-19

    -Type text/plain; charset=UTF-8 STATUS CHARACTERISTICS AND EXPECTATION STATES* Joseph Berger Bernard P. Cohen Morris Zelditch, Jr. Research for this paper was conducted with the support of NSF grant #G23990? for investigation of authority...

  13. RESIDENTIAL VENTILATION AND ENERGY CHARACTERISTICS*

    E-Print Network [OSTI]

    best available data, the energy liability as- sociated with providing the current levels of ventilationRESIDENTIAL VENTILATION AND ENERGY CHARACTERISTICS* Max Sherman Nance Matson Energy Performance of Buildings Group Energy and Environment Division Lawrence Berkeley Laboratory University of California

  14. GENERALIZED ORBIFOLD EULER CHARACTERISTIC OF ...

    E-Print Network [OSTI]

    1910-01-10

    orbifold Euler characteristic is always an integer, since (1-1) implies ?orb(M; G) = ...... by (h,t) permutes mr(c) elements {(?r,c,i,?r,c,i)}i for each [c] ? G? and r ? 1.

  15. 1992 CBECS C & E

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

    of Natural Gas by End Use, 1989 Natural Gas Consumption (trillion Btu) Space Water a Total Heating Heating Cooking Other RSE Building Row Characteristics Factor 1.0 NF...

  16. 1989 CBECS EUI

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

    . Peak Electricity Demand Category, Number of Buildings, 1992 (Thousand) Building Characteristics RSE Column Factor: Demand- Metered Buildings 10 kW or Less 11 to 25 kW 26 to 50 kW...

  17. 2/12/2014 More households could strain natural resources and the environment -UPI.com http://www.upi.com/Science_News/2014/02/11/Household-explosion-replaces-population-explosion-as-world-concern/UPI-87811392152198/?spt=rln&or=2 1/8

    E-Print Network [OSTI]

    explosion. A previous norm of one large household sheltering many people is giving way across the world/8 Previous Story Climate change may drive fish species from Earth's equatorial regions Next Story City bees

  18. System Design - Lessons Learned, Generic Concepts, Characteristics...

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

    Design - Lessons Learned, Generic Concepts, Characteristics & Impacts System Design - Lessons Learned, Generic Concepts, Characteristics & Impacts Presented at the DOE-DOD...

  19. Health Care Buildings : Basic Characteristics Tables

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

    Basic Characteristics Tables Buildings and Size Data by Basic Characteristics for Health Care Buildings Number of Buildings (thousand) Percent of Buildings Floorspace (million...

  20. Persistence Characteristics of Stormwater BMPs

    E-Print Network [OSTI]

    Quantity Characteristics Base flow Median flow Dominant discharge Variability Memory #12;5 Water Quality 16 #12;Dry vs Wet Weather Water Quality (TON, Fecal Coli) Scatterplot of paired Fecal Coliform;21 Representation of Time Series Data Raw Data (table or file) Time series plot Simple statistics Cumulative

  1. BELLCOMM, INC. GEOLOGIC CHARACTERISTICS OF

    E-Print Network [OSTI]

    Rathbun, Julie A.

    . . . . . . . . 4 2. LITTROW AREA. . . . . 9 3. ABULFEDA (CRATER CHAIN). . 13 4. HYGINUS CRATER AND RILLE of the Characteristics . Mobility Requirements . Expected Achievements . Conclusions. . 50 · 51 · 52 · 54 · 59 . . . 60 Landing Site for Hyginus Crater and Rille. . . . . . . Proposed Landing Site in the Littrow Area 12

  2. 2/11/2014 Long-term dynamics of household size and their environmental implications -Springer http://link.springer.com/article/10.1007/s11111-014-0203-6/fulltext.html 1/17

    E-Print Network [OSTI]

    impact ­ Household size ­ IPHoG ­ Population ­ Sustainable development Introduction The impacts of human because the impacts of increased housing present a threat to sustainability even when population growth slows. Future research addressing environmental impacts of declining household size could use an adapted

  3. 1999 Commercial Buildings Characteristics--Building Size

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Monthly Actual Data10)Households,Size of

  4. 1999 Commercial Buildings Characteristics--Census Region

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Monthly Actual Data10)Households,SizeCensus

  5. Separate collection of household food waste for anaerobic degradation - Comparison of different techniques from a systems perspective

    SciTech Connect (OSTI)

    Bernstad, A., E-mail: Anna.bernstad@chemeng.lth.se [Water and Environmental Engineering, Department of Chemical Engineering, Lund University (Sweden); Cour Jansen, J. la [Water and Environmental Engineering, Department of Chemical Engineering, Lund University (Sweden)

    2012-05-15

    Highlight: Black-Right-Pointing-Pointer Four modern and innovative systems for household food waste collection are compared. Black-Right-Pointing-Pointer Direct emissions and resource use were based on full-scale data. Black-Right-Pointing-Pointer Conservation of nutrients/energy content over the system was considered. Black-Right-Pointing-Pointer Systems with high energy/nutrient recovery are most environmentally beneficial. - Abstract: Four systems for household food waste collection are compared in relation the environmental impact categories eutrophication potential, acidification potential, global warming potential as well as energy use. Also, a hotspot analysis is performed in order to suggest improvements in each of the compared collection systems. Separate collection of household food waste in paper bags (with and without drying prior to collection) with use of kitchen grinders and with use of vacuum system in kitchen sinks were compared. In all cases, food waste was used for anaerobic digestion with energy and nutrient recovery in all cases. Compared systems all resulted in net avoidance of assessed environmental impact categories; eutrophication potential (-0.1 to -2.4 kg NO{sub 3}{sup -}eq/ton food waste), acidification potential (-0.4 to -1.0 kg SO{sub 2}{sup -}eq/ton food waste), global warming potential (-790 to -960 kg CO{sub 2}{sup -}eq/ton food waste) and primary energy use (-1.7 to -3.6 GJ/ton food waste). Collection with vacuum system results in the largest net avoidance of primary energy use, while disposal of food waste in paper bags for decentralized drying before collection result in a larger net avoidance of global warming, eutrophication and acidification. However, both these systems not have been taken into use in large scale systems yet and further investigations are needed in order to confirm the outcomes from the comparison. Ranking of scenarios differ largely if considering only emissions in the foreground system, indicating the importance of taking also downstream emissions into consideration when comparing different collection systems. The hot spot identification shows that losses of organic matter in mechanical pretreatment as well as tank connected food waste disposal systems and energy in drying and vacuum systems reply to the largest impact on the results in each system respectively.

  6. First waste-to-energy power station put into operation in Vietnam has successfully produced electricity from household and industrial waste as a

    E-Print Network [OSTI]

    Columbia University

    First waste-to-energy power station put into operation in Vietnam Vietnam has successfully produced electricity from household and industrial waste as a newly-generated power supply has come online of the first turbine of the waste-powered electricity plant has been successful. The plant can produce 14,400KW

  7. LIGHT EMITTING DIODE CHARACTERISTICS (SAMPLE LAB WRITEUP)

    E-Print Network [OSTI]

    McNeill, John A.

    1 LIGHT EMITTING DIODE CHARACTERISTICS (SAMPLE LAB WRITEUP) John A. McNeill ECE Box 000 January 19, 1997 ABSTRACT This lab investigates the V-I characteristic of a light-emitting diode (LED

  8. Characteristic hypersurfaces in a relativistic superfluid theory

    E-Print Network [OSTI]

    B. Linet

    1998-12-16

    By discussing the Cauchy problem, we determine the covariant equation of the characteristic hypersurfaces in a relativistic superfluid theory.

  9. Tier identification (TID) for tiered memory characteristics

    DOE Patents [OSTI]

    Chang, Jichuan; Lim, Kevin T; Ranganathan, Parthasarathy

    2014-03-25

    A tier identification (TID) is to indicate a characteristic of a memory region associated with a virtual address in a tiered memory system. A thread may be serviced according to a first path based on the TID indicating a first characteristic. The thread may be serviced according to a second path based on the TID indicating a second characteristic.

  10. Doppler characteristics of sea clutter.

    SciTech Connect (OSTI)

    Raynal, Ann Marie; Doerry, Armin Walter

    2010-06-01

    Doppler radars can distinguish targets from clutter if the target's velocity along the radar line of sight is beyond that of the clutter. Some targets of interest may have a Doppler shift similar to that of clutter. The nature of sea clutter is different in the clutter and exo-clutter regions. This behavior requires special consideration regarding where a radar can expect to find sea-clutter returns in Doppler space and what detection algorithms are most appropriate to help mitigate false alarms and increase probability of detection of a target. This paper studies the existing state-of-the-art in the understanding of Doppler characteristics of sea clutter and scattering from the ocean to better understand the design and performance choices of a radar in differentiating targets from clutter under prevailing sea conditions.

  11. EIA - Household Transportation report: Household Vehicles Energy

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728 243,242ConsumersAnnualA1.Consumption

  12. Linking Household Food Inventories with Dietary Recalls to Examine the Association between Nutrient Availability and Dietary Intake among Mexican-origin Children who Reside in Texas Border Region Colonias 

    E-Print Network [OSTI]

    Hutchinson, Jennifer Becker

    2012-10-19

    The purpose of this study was to determine the relationship between household food inventories (HFI) and dietary recalls among Mexican-origin children (ages 6-11 years old) who reside in Texas border region colonias. ...

  13. State and national household concentrations of PM2.5 from solid cookfuel use: Results from measurements and modeling in India for estimation of the global burden of disease

    E-Print Network [OSTI]

    2013-01-01

    to Indoor Air Pollution from Biomass Combustion in Kenya.to indoor air pollution from biomass combustion among womenV: Air pollution from household solid cookfuel combustion in

  14. Eliminating the Effects of a Status Characteristic 

    E-Print Network [OSTI]

    Freese, Lee; Cohen, Bernard P

    2015-08-12

    ), and from the aggregation function proposed in the developing theory of status characteristics and expectation states (Berger et al. 1974; 1977)....

  15. NQA-1 Commercial Grade Dedication Critical Characteristics |...

    Office of Environmental Management (EM)

    Dedication Critical Characteristics May 5, 2015 Presenter: Randy P. Lanham, PE, CSP, Fire Protection Chief Engineer Consolidated Nuclear Solutions - Pantex, LLC Topics Covered:...

  16. Aerodynamic characteristics of seven symmetrical airfoil sections...

    Office of Scientific and Technical Information (OSTI)

    180-degree angle of attack for use in aerodynamic analysis of vertical axis wind turbines Citation Details In-Document Search Title: Aerodynamic characteristics of seven...

  17. DERIVATION OF STOCHASTIC ACCELERATION MODEL CHARACTERISTICS FOR...

    Office of Scientific and Technical Information (OSTI)

    DERIVATION OF STOCHASTIC ACCELERATION MODEL CHARACTERISTICS FOR SOLAR FLARES FROM RHESSI HARD X-RAY OBSERVATIONS Citation Details In-Document Search Title: DERIVATION OF STOCHASTIC...

  18. Regional characteristics, tilt domains, and extensional history...

    Open Energy Info (EERE)

    Report Number 303 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Regional characteristics, tilt domains, and extensional history of the...

  19. The Inner Solar System Characteristics of Earth

    E-Print Network [OSTI]

    Walter, Frederick M.

    The Inner Solar System #12;The Earth #12;Characteristics of Earth A terrestrial, rocky planet floats on mantle · Crust is created and destroyed #12;Characteristics of Earth Today Surface: · 70% water · 30% land Atmosphere: ·77% N2 ·21% O2 ·0.1% H2O ·+Ar, CO2, Ne #12;The Dynamic Earth Molten Core

  20. COMPUTING CHARACTERISTIC CLASSES OF PROJECTIVE PAOLO ALUFFI

    E-Print Network [OSTI]

    COMPUTING CHARACTERISTIC CLASSES OF PROJECTIVE SCHEMES PAOLO ALUFFI Abstract. We discuss an algorithm computing the push-forward to projective space of several classes associated to a (possibly computing, among other things, the topological Euler characteristic of the support of a projective scheme

  1. Changes in precipitation characteristics and extremes

    E-Print Network [OSTI]

    Allan, Richard P.

    Changes in precipitation characteristics and extremes Comparing Mediterranean to change Swiss characteristics Comparing Mediterranean to north-western European precipitation Master Thesis April 2012 Author precipitation 502) dvogel@student.ethz.ch Dr Richard Allan (University of Reading) Prof Dr Martin Wild (ETH

  2. Chemical and Physical Characteristics of Diesel Aerosol | Department...

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

    and Physical Characteristics of Diesel Aerosol Chemical and Physical Characteristics of Diesel Aerosol 2002 DEER Conference Presentation: University of Minnesota...

  3. Market characteristics of future oil tanker operations

    E-Print Network [OSTI]

    Willemann, Simmy Dhawan

    2014-01-01

    This work analyzes the market characteristics of future oil tanker operations with a particular emphasis on those aspects which will have a potential impact on the design of future vessels. The market analysis model used ...

  4. Future characteristics of Offshore Support Vessels

    E-Print Network [OSTI]

    Rose, Robin Sebastian Koske

    2011-01-01

    The objective of this thesis is to examine trends in Offshore Support Vessel (OSV) design and determine the future characteristics of OSVs based on industry insight and supply chain models. Specifically, this thesis focuses ...

  5. Contractual form, retail price and asset characteristics

    E-Print Network [OSTI]

    Shepard, Andrea

    1991-01-01

    Predictions derived from a principal-agent analysis of the manufacturer-retailer relationship are derived and tested using microdata on contractual form, outlet characteristics and retail prices for gasoline stations in ...

  6. Total lightning characteristics of ordinary convection 

    E-Print Network [OSTI]

    Motley, Shane Michael

    2009-06-02

    Twenty-two isolated, non-severe, warm season thunderstorms (ordinary thunderstorms) were examined to test possible correlations between three-dimensional lightning flash characteristics and the complex evolution of the ...

  7. Measuring value added characteristics in feeder cattle 

    E-Print Network [OSTI]

    Mathews, Crystal Dawn

    2009-05-15

    VALUE-ADDED CHARACTERISTICS IN FEEDER CATTLE A Thesis by CRYSTAL DAWN MATHEWS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... August 2007 Major Subject: Agricultural Economics MEASURING VALUE-ADDED CHARACTERISTICS IN FEEDER CATTLE A Thesis by CRYSTAL DAWN MATHEWS Submitted to the Office of Graduate Studies of Texas A&M University...

  8. 1989 CBECS EUI

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  9. 1995 CECS C&E Tables

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  10. Keeping Household Records. 

    E-Print Network [OSTI]

    McCormack, Linda

    1983-01-01

    3u have been treated. the beneficiaries on your insur- Social Security card? bank records? driver's license? employment records? car title? ) stocks and bonds? credit cards? membership cards? identification card in billfoia-! -g ,-, ,.a.... An unsigned copy may be kept at home for reference. Papers to Carry with You Some papers needed for personal information or for identification include: Credit cards Keep a list of numbers and ad- dresses at home. CI Driver's license This is required...

  11. Managing Household Ant Pests 

    E-Print Network [OSTI]

    Drees, Bastiaan M.

    2005-12-02

    around buildings Indoors: Treat cracks, crevices, wall voids, and ant tunnels in wood Spectracide Fire Ant Killer Granules 2 Prescription Treatment 221 L Residual Insecticide Scimitar GC Insecticide CAUTION linalool + N-octyl bicycloheptene... stream_source_info pdf_295.pdf.txt stream_content_type text/plain stream_size 32841 Content-Encoding ISO-8859-1 stream_name pdf_295.pdf.txt Content-Type text/plain; charset=ISO-8859-1 n nature, ants are generally...

  12. Detailed Assessment of Particulate Characteristics from Low-Temperatur...

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

    Assessment of Particulate Characteristics from Low-Temperature Combustion Engines Detailed Assessment of Particulate Characteristics from Low-Temperature Combustion Engines 2012...

  13. Experimental and Modeling Studies of the Characteristics of Liquid...

    Energy Savers [EERE]

    Experimental and Modeling Studies of the Characteristics of Liquid Biofuels for Enhanced Combustion Experimental and Modeling Studies of the Characteristics of Liquid Biofuels for...

  14. Characteristics of seismic waves from Soviet peaceful nuclear...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Characteristics of seismic waves from Soviet peaceful nuclear explosions in salt Citation Details In-Document Search Title: Characteristics of seismic waves from...

  15. An Experimental Study of PM Emission Characteristics of Commercial...

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

    An Experimental Study of PM Emission Characteristics of Commercial Diesel Engine with Urea-SCR System An Experimental Study of PM Emission Characteristics of Commercial Diesel...

  16. Discovery and characteristics of the rapidly rotating active...

    Office of Scientific and Technical Information (OSTI)

    Discovery and characteristics of the rapidly rotating active asteroid (62412) 2000 SY178 in the main belt Citation Details In-Document Search Title: Discovery and characteristics...

  17. Oxidation characteristics of gasoline direct-injection (GDI)...

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

    characteristics of gasoline direct-injection (GDI) engine soot: Catalytic effects of ash and modified kinetic correlation Title Oxidation characteristics of gasoline...

  18. Analysis of engineering management characteristics employed in the defense industry

    E-Print Network [OSTI]

    Gutiérrez, Sara S. (Sara Sofia Gutiérrez Cervantes)

    2009-01-01

    An analysis of the engineering management characteristics present in companies in the defense industry was performed. These aspects include the organization characteristics of structure, hierarchy, and standards and ...

  19. Measurements of Smoke Characteristics in HVAC Ducts 

    E-Print Network [OSTI]

    Wolin, Steven D; Ryder, Noah L; Leprince, Frederic; Milke, James; Mowrer, Frederick; Torero, Jose L

    2001-01-01

    The characteristics of smoke traveling in an HVAC duct have been observed along with the response of selected duct smoke detectors. The simulated HVAC system consists of a 9 m long duct, 0.45 m in diameter. An exhaust fan is placed at one end...

  20. Communication Characteristics in the NAS Parallel Benchmarks

    E-Print Network [OSTI]

    Communication Characteristics in the NAS Parallel Benchmarks Ahmad Faraj Xin Yuan Department-- In this paper, we investigate the communication characteris- tics of the Message Passing Interface (MPI) implementation of the NAS parallel benchmarks and study the effectiveness of com- piled communication for MPI

  1. Understanding Data Center Traffic Characteristics Theophilus Benson

    E-Print Network [OSTI]

    Badrinath, B. R.

    Understanding Data Center Traffic Characteristics Theophilus Benson , Ashok Anand , Aditya Akella and Ming Zhang UW-Madison, Microsoft Research ABSTRACT As data centers become more and more central patterns in data center networks that can inform and help evaluate research and operational approaches. We

  2. Superconducting wire with improved strain characteristics

    DOE Patents [OSTI]

    Luhman, Thomas (Westhampton Beach, NY); Klamut, Carl J. (E. Patchogue, NY); Suenaga, Masaki (Bellport, NY); Welch, David (Stony Brook, NY)

    1982-01-01

    A superconducting wire comprising a superconducting filament and a beryllium strengthened bronze matrix in which the addition of beryllium to the matrix permits a low volume matrix to exhibit reduced elastic deformation after heat treating which increases the compression of the superconducting filament on cooling and thereby improves the strain characteristics of the wire.

  3. Superconducting wire with improved strain characteristics

    DOE Patents [OSTI]

    Luhman, Thomas (Westhampton Beach, NY); Klamut, Carl J. (East Patchogue, NY); Suenaga, Masaki (Bellport, NY); Welch, David (Stony Brook, NY)

    1982-01-01

    A superconducting wire comprising a superconducting filament and a beryllium strengthened bronze matrix in which the addition of beryllium to the matrix permits a low volume matrix to exhibit reduced elastic deformation after heat treating which increases the compression of the superconducting filament on cooling and thereby improve the strain characteristics of the wire.

  4. PressurePressure Indiana Coal Characteristics

    E-Print Network [OSTI]

    Fernández-Juricic, Esteban

    TimeTime PressurePressure · Indiana Coal Characteristics · Indiana Coals for Coke · Coal Indiana Total Consumption Electricity 59,664 Coke 4,716 Industrial 3,493 Major Coal- red power plantsTransportation in Indiana · Coal Slurry Ponds Evaluation · Site Selection for Coal Gasification · Coal-To-Liquids Study, CTL

  5. Painting surface characteristics Pierre Poulin Alain Fournier

    E-Print Network [OSTI]

    Montréal, Université de

    Painting surface characteristics Pierre Poulin Alain Fournier Dept. I.R.O. Dept. of Computer a painting paradigm. An interactive system is provided where the user simply applies color points the surface parameters by simply painting color points on a surface. Each color point is governed

  6. RSE Table 1.1 Relative Standard Errors for Table 1.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.25061

  7. RSE Table 1.2 Relative Standard Errors for Table 1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.250612

  8. RSE Table 10.10 Relative Standard Errors for Table 10.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.2506120

  9. RSE Table 10.11 Relative Standard Errors for Table 10.11

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.25061201

  10. RSE Table 10.12 Relative Standard Errors for Table 10.12

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.250612012

  11. RSE Table 10.13 Relative Standard Errors for Table 10.13

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.2506120123

  12. RSE Table 2.1 Relative Standard Errors for Table 2.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9

  13. RSE Table 3.1 Relative Standard Errors for Table 3.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative Standard

  14. RSE Table 3.2 Relative Standard Errors for Table 3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative Standard2

  15. RSE Table 3.5 Relative Standard Errors for Table 3.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative

  16. RSE Table 4.1 Relative Standard Errors for Table 4.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1 Relative

  17. RSE Table 4.2 Relative Standard Errors for Table 4.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1

  18. RSE Table 5.1 Relative Standard Errors for Table 5.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11

  19. RSE Table 5.2 Relative Standard Errors for Table 5.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112

  20. RSE Table 5.4 Relative Standard Errors for Table 5.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124

  1. RSE Table 5.5 Relative Standard Errors for Table 5.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11245

  2. RSE Table 5.6 Relative Standard Errors for Table 5.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112456

  3. RSE Table 5.7 Relative Standard Errors for Table 5.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124567

  4. RSE Table 5.8 Relative Standard Errors for Table 5.8

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11245678

  5. RSE Table 7.10 Relative Standard Errors for Table 7.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112456780

  6. RSE Table 7.3 Relative Standard Errors for Table 7.3

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124567803

  7. RSE Table 7.4 Relative Standard Errors for Table 7.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91

  8. RSE Table 7.5 Relative Standard Errors for Table 7.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative Standard

  9. RSE Table 7.6 Relative Standard Errors for Table 7.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative

  10. RSE Table 7.7 Relative Standard Errors for Table 7.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative7

  11. RSE Table 7.9 Relative Standard Errors for Table 7.9

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative79

  12. RSE Table 8.2 Relative Standard Errors for Table 8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative792

  13. RSE Pulp & Chemical, LLC (Subsidiary of Red Shield Environmental, LLC) |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct. 7, 2011REMSView ValidationRESRAD-BIOTAProposedDepartment

  14. Forward and reverse characteristics of irradiated MOSFETs

    SciTech Connect (OSTI)

    Paccagnella, A.; Ceschia, M.; Verzellesi, G.; Dalla Betta, G.F.; Soncini, G.; Bellutti, P.; Fuochi, P.G.

    1996-06-01

    pMOSFETs biased with V{sub gs} < V{sub gd} during Co{sup 60} {gamma} irradiation have shown substantial differences between the forward and reverse subthreshold characteristics, induced by a non-uniform charge distribution in the gate oxide. Correspondingly, modest differences have been observed in the over-threshold I-V characteristics. After irradiation, the forward subthreshold curves can shift at higher or lower gate voltages than the reverse ones. The former behavior has been observed in long-channel devices, in agreement with the classical MOS theory and numerical simulations. The latter result has been obtained in short-channel devices, and it has been correlated to a parasitic punch-through conduction mechanism.

  15. Measuring spatial variability in soil characteristics

    DOE Patents [OSTI]

    Hoskinson, Reed L. (Rigby, ID); Svoboda, John M. (Idaho Falls, ID); Sawyer, J. Wayne (Hampton, VA); Hess, John R. (Ashton, ID); Hess, J. Richard (Idaho Falls, ID)

    2002-01-01

    The present invention provides systems and methods for measuring a load force associated with pulling a farm implement through soil that is used to generate a spatially variable map that represents the spatial variability of the physical characteristics of the soil. An instrumented hitch pin configured to measure a load force is provided that measures the load force generated by a farm implement when the farm implement is connected with a tractor and pulled through or across soil. Each time a load force is measured, a global positioning system identifies the location of the measurement. This data is stored and analyzed to generate a spatially variable map of the soil. This map is representative of the physical characteristics of the soil, which are inferred from the magnitude of the load force.

  16. Quality characteristics of young bovine carcasses 

    E-Print Network [OSTI]

    Bellinger, John Wayne

    1978-01-01

    ) May 1978 442834 1 1. 1 ABSTRACT Quality Characteristics of Young Bovine Carcasses. (May 1978) John Wayne Bellinger B. S. , Texas A&M University Co-Chairmen of Advisory Committee: Dr. G C. Smith Dr Z. L. Carpenter A total of 305 carcasses... longissimus muscle steaks. ACKNOWLEDGMENTS The author greatly appreciates the encouragement and inspiration given by Drs. G. C. Smith and Z. L. Carpenter throughout his coursework and research. Their guidance and suggestions will always be remembered...

  17. Art Cellar: The non-profit supply & bookstore inside the Minneapolis College of Art & Design: WAM member visitors are offered a free tote bag when they visit the Art Cellar (limit to one per household). Call 612.874.3775.

    E-Print Network [OSTI]

    Thomas, David D.

    Art Cellar: The non-profit supply & bookstore inside the Minneapolis College of Art & Design: WAM member visitors are offered a free tote bag when they visit the Art Cellar (limit to one per household Boulevard, St. Paul, MN 55102 Soo Visual Arts Center: WAM members receive $5 off any level of membership

  18. 1999 Commercial Buildings Characteristics--CBECS Building Types

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Monthly Actual Data10)Households,Size

  19. Aerosol collection characteristics of ambient aerosol samplers 

    E-Print Network [OSTI]

    Ortiz, Carlos A

    1978-01-01

    when the sampler is not in operation, both as functions of particle size and wind speed. Wind velocity was a major cause of bias for the four samplers when collecting aerosol particles & 10 um. Characteristic curves were very similar for the 0. 38 m... x 0. 38 m ( 15" x 15") Hi-Vol and the 0. 29 m x 0. 36 m (11&" x 14") Hi-Vol. At 28 um and wind speeds of 2, 8, and 24 km/hr, sampling effectiveness values respectively were 70, 43, and 43 percent for the 0. 38 m x 0. 38 m Hi-Vol and 81, 56, and 43...

  20. Coal-water slurry atomization characteristics

    SciTech Connect (OSTI)

    Caton, J.A.; Kihm, K.D.

    1994-04-01

    The overall objective of this work was to fully characterize the CWS fuel sprays of a medium-speed diesel engine injection system. Specifically, the spray plume penetration as a function of time was determined for a positive-displacement fuel injection system. The penetration was determined as a function of orifice diameter, coal loading, gas density in the engine, and fuel line pressure. Preliminary droplet information also was obtained. The results of this study will assist CWS engine development by providing much needed insight about the fuel spray. In addition, the results will aid the development and use of CWS engine cycle simulations which require information on the fuel spray characteristics.

  1. Overview of Commercial Buildings, 2003 - Major Characteristics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNewMajor Characteristics of All Commercial Buildings

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

    SciTech Connect (OSTI)

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

    1981-10-01

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

  3. Performance Characteristics of Coal-to-Liquids (CTL) Diesel in...

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

    Characteristics of Coal-to-Liquids (CTL) Diesel in a 50-State Emissions Compliant Passenger Car Performance Characteristics of Coal-to-Liquids (CTL) Diesel in a 50-State Emissions...

  4. Fact #800: October 21, 2013 Characteristics of New Light Vehicles...

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

    0: October 21, 2013 Characteristics of New Light Vehicles over Time Fact 800: October 21, 2013 Characteristics of New Light Vehicles over Time From model years 1980 to 2012, there...

  5. Utilizing flow characteristics to increase performance in swimming 

    E-Print Network [OSTI]

    Machtsiras, Georgios

    2013-07-05

    Performance when gliding in the streamlined position depends on a swimmer’s morphological characteristics, body orientation and water characteristics. The purpose of this thesis was twofold. First to identify and assess ...

  6. Soil Hydraulic Characteristics of a Small Southwest Oregon Watershed Following

    E-Print Network [OSTI]

    --------------------------------------------- Soil Hydraulic Characteristics of a Small Southwest by a high-intensity burn over areas of steep topography. The areal distribution of soil hydraulic of infiltration capacity, saturated hydraulic conductivity, and soil moisture characteristics. Also, measures

  7. The Precipitation Characteristics of ISCCP Tropical Weather States DONGMIN LEE

    E-Print Network [OSTI]

    Kang, In-Sik

    The Precipitation Characteristics of ISCCP Tropical Weather States DONGMIN LEE GESTAR, University The authors examine the daytime precipitation characteristics of the International Satellite Cloud Climatology precipitation dataset used is the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation

  8. Ris-R-1472(EN) Database on Wind Characteristics

    E-Print Network [OSTI]

    Risø-R-1472(EN) Database on Wind Characteristics Contents of Database Bank, revision I Gunner C on Wind Characteristics Contents of the database, revision I Abstract The main objective of IEA R&D Wind Annex XVII - Database on Wind Characteristics - has been to provide wind energy planners, designers

  9. Ris-R-1473(EN) Database on Wind Characteristics

    E-Print Network [OSTI]

    Risø-R-1473(EN) Database on Wind Characteristics Analyses of Wind Turbine Design Loads Gunner C R&D Wind Annex XVII - Database on Wind #12;IEA Annex XVII, Database on Wind Characteristics Analyses of W Characteristics - has been to provide wind energy planners, designers and researchers, as well

  10. Ris-R-1301(EN) Database on Wind Characteristics

    E-Print Network [OSTI]

    Risø-R-1301(EN) Database on Wind Characteristics Contents of Database Bank Gunner C. Larsen Risø XVII, Database on Wind Characteristics - Contents of the database Abstract The main objective of IEA R&D Wind Annex XVII - Database on Wind Characteristics - is to provide wind energy planners and designers

  11. Characteristics of transverse waves in chromospheric mottles

    SciTech Connect (OSTI)

    Kuridze, D.; Mathioudakis, M.; Jess, D. B.; Keenan, F. P. [Astrophysics Research Center, School of Mathematics and Physics, Queen's University, Belfast BT7 1NN (United Kingdom); Verth, G.; Erdélyi, R. [Solar Physics and Space Plasma Research Center (SP2RC), University of Sheffield, Hicks Building, Hounsfield Road, Sheffield S3 7RH (United Kingdom); Morton, R. J. [Mathematics and Information Science, Northumbria University, Camden Street, Newcastle Upon Tyne NE1 8ST (United Kingdom); Christian, D. J., E-mail: dkuridze01@qub.ac.uk [Department of Physics and Astronomy, California State University, Northridge, CA 91330 (United States)

    2013-12-10

    Using data obtained by the high temporal and spatial resolution Rapid Oscillations in the Solar Atmosphere instrument on the Dunn Solar Telescope, we investigate at an unprecedented level of detail transverse oscillations in chromospheric fine structures near the solar disk center. The oscillations are interpreted in terms of propagating and standing magnetohydrodynamic kink waves. Wave characteristics including the maximum transverse velocity amplitude and the phase speed are measured as a function of distance along the structure's length. Solar magnetoseismology is applied to these measured parameters to obtain diagnostic information on key plasma parameters (e.g., magnetic field, density, temperature, flow speed) of these localized waveguides. The magnetic field strength of the mottle along the ?2 Mm length is found to decrease by a factor of 12, while the local plasma density scale height is ?280 ± 80 km.

  12. Gas sensor with attenuated drift characteristic

    DOE Patents [OSTI]

    Chen, Ing-Shin (Danbury, CT) [Danbury, CT; Chen, Philip S. H. (Bethel, CT) [Bethel, CT; Neuner, Jeffrey W. (Bethel, CT) [Bethel, CT; Welch, James (Fairfield, CT) [Fairfield, CT; Hendrix, Bryan (Danbury, CT) [Danbury, CT; Dimeo, Jr., Frank [Danbury, CT

    2008-05-13

    A sensor with an attenuated drift characteristic, including a layer structure in which a sensing layer has a layer of diffusional barrier material on at least one of its faces. The sensor may for example be constituted as a hydrogen gas sensor including a palladium/yttrium layer structure formed on a micro-hotplate base, with a chromium barrier layer between the yttrium layer and the micro-hotplate, and with a tantalum barrier layer between the yttrium layer and an overlying palladium protective layer. The gas sensor is useful for detection of a target gas in environments susceptible to generation or incursion of such gas, and achieves substantial (e.g., >90%) reduction of signal drift from the gas sensor in extended operation, relative to a corresponding gas sensor lacking the diffusional barrier structure of the invention

  13. Droplet migration characteristics in confined oscillatory microflows

    E-Print Network [OSTI]

    Chaudhury, Kaustav; Chakraborty, Suman

    2015-01-01

    We analyze the migration characteristics of a droplet in an oscillatory flow field in a parallel plate micro-confinement. Using phase filed formalism, we capture the dynamical evolution of the droplet over a wide range of the frequency of the imposed oscillation in the flow field, drop size relative to the channel gap, and the capillary number. The latter two factors imply the contribution of droplet deformability, commonly considered in the study of droplet migration under steady shear flow conditions. We show that the imposed oscillation brings in additional time complexity in the droplet movement, realized through temporally varying drop-shape, flow direction and the inertial response of the droplet. As a consequence, we observe a spatially complicated pathway of the droplet along the transverse direction, in sharp contrast to the smooth migration under a similar yet steady shear flow condition. Intuitively, the longitudinal component of the droplet movement is in tandem with the flow continuity and evolve...

  14. Leaching Characteristics of Hanford Ferrocyanide Wastes

    SciTech Connect (OSTI)

    Edwards, Matthew K.; Fiskum, Sandra K.; Peterson, Reid A.; Shimskey, Rick W.

    2009-12-21

    A series of leach tests were performed on actual Hanford Site tank wastes in support of the Hanford Tank Waste Treatment and Immobilization Plant (WTP). The samples were targeted composite slurries of high-level tank waste materials representing major complex, radioactive, tank waste mixtures at the Hanford Site. Using a filtration/leaching apparatus, sample solids were concentrated, caustic leached, and washed under conditions representative of those planned for the Pretreatment Facility in the WTP. Caustic leaching was performed to assess the mobilization of aluminum (as gibbsite, Al[OH]3, and boehmite AlO[OH]), phosphates [PO43-], chromium [Cr3+] and, to a lesser extent, oxalates [C2O42-]). Ferrocyanide waste released the solid phase 137Cs during caustic leaching; this was antithetical to the other Hanford waste types studied. Previous testing on ferrocyanide tank waste focused on the aging of the ferrocyanide salt complex and its thermal compatibilities with nitrites and nitrates. Few studies, however, examined cesium mobilization in the waste. Careful consideration should be given to the pretreatment of ferrocyanide wastes in light of this new observed behavior, given the fact that previous testing on simulants indicates a vastly different cesium mobility in this waste form. The discourse of this work will address the overall ferrocyanide leaching characteristics as well as the behavior of the 137Cs during leaching.

  15. Foaming characteristics of refigerant/lubricant mixtures

    SciTech Connect (OSTI)

    Goswami, D.Y.; Shah, D.O.; Jotshi, C.K.; Bhagwat, S.; Leung, M.; Gregory, A.

    1997-04-01

    The air-conditioning and refrigeration industry has moved to HFC refrigerants which have zero ozone depletion and low global warming potential due to regulations on CFC and HCFC refrigerants and concerns for the environment. The change in refrigerants has prompted the switch from mineral oil and alkylbenzene lubricants to polyolester-based lubricants. This change has also brought about a desire for lubricant, refrigerant and compressor manufacturers to understand the foaming properties of alternative refrigerant/ lubricant mixtures, as well as the mechanisms which affect these properties. The objectives of this investigation are to experimentally determine the foaming absorption and desorption rates of HFC and blended refrigerants in polyolester lubricant and to define the characteristics of the foam formed when the refrigerant leaves the refrigerant/ lubricant mixture after being exposed to a pressure drop. The refrigerants being examined include baseline refrigerants: CFC-12 (R-12) and HCFC-22 (R-22); alternative refrigerants: HFC-32 (R-32), R-125, R-134a, and R-143a; and blended refrigerants: R-404A, R-407C, and R-410A. The baseline refrigerants are tested with ISO 32 (Witco 3GS) and ISO 68 (4GS) mineral oils while the alternative and blended refrigerants are tested with two ISO 68 polyolesters (Witco SL68 and ICI RL68H).

  16. The Lyapunov Characteristic Exponents and their computation

    E-Print Network [OSTI]

    Charalampos Skokos

    2009-01-26

    We present a survey of the theory of the Lyapunov Characteristic Exponents (LCEs) for dynamical systems, as well as of the numerical techniques developed for the computation of the maximal, of few and of all of them. After some historical notes on the first attempts for the numerical evaluation of LCEs, we discuss in detail the multiplicative ergodic theorem of Oseledec \\cite{O_68}, which provides the theoretical basis for the computation of the LCEs. Then, we analyze the algorithm for the computation of the maximal LCE, whose value has been extensively used as an indicator of chaos, and the algorithm of the so--called `standard method', developed by Benettin et al. \\cite{BGGS_80b}, for the computation of many LCEs. We also consider different discrete and continuous methods for computing the LCEs based on the QR or the singular value decomposition techniques. Although, we are mainly interested in finite--dimensional conservative systems, i. e. autonomous Hamiltonian systems and symplectic maps, we also briefly refer to the evaluation of LCEs of dissipative systems and time series. The relation of two chaos detection techniques, namely the fast Lyapunov indicator (FLI) and the generalized alignment index (GALI), to the computation of the LCEs is also discussed.

  17. Sooting characteristics of surrogates for jet fuels

    SciTech Connect (OSTI)

    Mensch, Amy; Santoro, Robert J.; Litzinger, Thomas A. [Department of Mechanical and Nuclear Engineering, and The Propulsion Engineering Research Center, The Pennsylvania State University, University Park, PA 16802 (United States); Lee, S.-Y. [Department of Mechanical Engineering and Engineering Mechanics, Michigan Technological University, Houghton, MI 49931 (United States)

    2010-06-15

    Currently, modeling the combustion of aviation fuels, such as JP-8 and JetA, is not feasible due to the complexity and compositional variation of these practical fuels. Surrogate fuel mixtures, composed of a few pure hydrocarbon compounds, are a key step toward modeling the combustion of practical aviation fuels. For the surrogate to simulate the practical fuel, the composition must be designed to reproduce certain pre-designated chemical parameters such as sooting tendency, H/C ratio, autoignition, as well as physical parameters such as boiling range and density. In this study, we focused only on the sooting characteristics based on the Threshold Soot Index (TSI). New measurements of TSI values derived from the smoke point along with other sooting tendency data from the literature have been combined to develop a set of recommended TSI values for pure compounds used to make surrogate mixtures. When formulating the surrogate fuel mixtures, the TSI values of the components are used to predict the TSI of the mixture. To verify the empirical mixture rule for TSI, the TSI values of several binary mixtures of candidate surrogate components were measured. Binary mixtures were also used to derive a TSI for iso-cetane, which had not previously been measured, and to verify the TSI for 1-methylnaphthalene, which had a low smoke point and large relative uncertainty as a pure compound. Lastly, surrogate mixtures containing three components were tested to see how well the measured TSI values matched the predicted values, and to demonstrate that a target value for TSI can be maintained using various components, while also holding the H/C ratio constant. (author)

  18. Buildings and Energy in the 1980s

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

    conducted in two stages: (1) A Household (RECS)Building (CBECS) Survey and an Energy Suppliers Survey. The HouseholdBuilding Characteristics Survey consists of personal...

  19. Industrial structures : an analysis and transformation of their formal characteristics

    E-Print Network [OSTI]

    Strub, Damon

    1988-01-01

    Industrial structures such as blast furnaces, oil refineries, gravel crushers etc. are often beautiful and fascinating. Furthermore, they exemplify certain formal and organizational characteristics which could be incorporated ...

  20. Measurement Of Gas Electron Multiplier (GEM) Detector Characteristics...

    Office of Scientific and Technical Information (OSTI)

    Measurement Of Gas Electron Multiplier (GEM) Detector Characteristics Citation Details In-Document Search Title: Measurement Of Gas Electron Multiplier (GEM) Detector...

  1. Role of borehole geophysics in defining the physical characteristics...

    Open Energy Info (EERE)

    Role of borehole geophysics in defining the physical characteristics of the Raft River geothermal reservoir, Idaho Jump to: navigation, search OpenEI Reference LibraryAdd to...

  2. Chemical and isotopic characteristics of the coso east flank...

    Open Energy Info (EERE)

    Christenson, B. W.; Kennedy, B. M.; Adams, M. C.; Bjornstad, S. C.; Buck, C. . 182007. Chemical and isotopic characteristics of the coso east flank hydrothermal fluids:...

  3. Differences in the Physical Characteristics of Diesel PM with...

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

    Measure physical characteristics, carbon state, and surface bound oxygen of soot from biodiesel blends. deer08strzelec.pdf More Documents & Publications Non-Petroleum-Based Fuels:...

  4. Combined Field Integral Equation Based Theory of Characteristic Mode

    E-Print Network [OSTI]

    Qi I. Dai; Qin S. Liu; Hui Gan; Weng Cho Chew

    2015-03-04

    Conventional electric field integral equation based theory is susceptible to the spurious internal resonance problem when the characteristic modes of closed perfectly conducting objects are computed iteratively. In this paper, we present a combined field integral equation based theory to remove the difficulty of internal resonances in characteristic mode analysis. The electric and magnetic field integral operators are shown to share a common set of non-trivial characteristic pairs (values and modes), leading to a generalized eigenvalue problem which is immune to the internal resonance corruption. Numerical results are presented to validate the proposed formulation. This work may offer efficient solutions to characteristic mode analysis which involves electrically large closed surfaces.

  5. Chemical and light-stable isotope characteristics of waters from...

    Open Energy Info (EERE)

    Chemical and light-stable isotope characteristics of waters from the raft river geothermal area and environs, Cassia County, Idaho, Box Elder county, Utah Jump to: navigation,...

  6. Mechanical Characteristics of Composite Knitted Stents

    SciTech Connect (OSTI)

    Tokuda, Takanori, E-mail: tkdtknr@gmail.com; Shomura, Yuzo; Tanigawa, Noboru; Kariya, Shuji [Kansai Medical University Hirakata Hospital, Department of Radiology (Japan); Komemushi, Atsushi [Kansai Medical University Takii Hospital, Department of Radiology (Japan); Kojima, Hiroyuki; Sawada, Satoshi [Kansai Medical University Hirakata Hospital, Department of Radiology (Japan)

    2009-09-15

    We used metal wires and fibers to fabricate a composite knitted stent and then compare the mechanical characteristics of this stent with those of a pure metallic stent of the same construction in order to develop a stent that offers a comparable degree of expandability as metallic stents but can be used for highly curved lesions that cannot be treated using metallic stents. We fabricated two types of composite knitted stent (N-Z stents), using nitinol wire with a diameter of 0.12 mm and polypara-phenylene-benzobisoxazole (PBO) multifilament fiber (Zyron AS; Toyobo, Osaka, Japan). Stents were knitted into a cylindrical shape using the same textile pattern as a Strecker stent. Two loop lengths (L) of nitinol wire were used in the N-Z stents: L = 1.84 mm (N-Z stent L = 1.84) and L = 2.08 mm (N-Z stent L = 2.08). For the sake of comparison, we fabricated a metallic stent of nitinol using the same textile pattern (N-N stent L = 1.92). We applied a radial compression force diametrically to each stent and applied a bending force diametrically at the free end of a stent with one end fixed in order to evaluate the relationship between stent elasticity and load values. In addition, we macroscopically evaluated the generation of kinks when the stent was bent 180{sup o}. The radial compressive force when the stent diameter was reduced by 53% was 6.44 N in the case of N-Z stent L = 1.84, 6.14 N in the case of N-Z stent L = 2.08, and 4.96 N in the case of N-N stent L = 1.92 mm. The composite stent had a radial compressive force higher than that of a metallic stent. The restoring force to longitudinal direction at a 90{sup o} bending angle was 0.005 N for N-Z stent L = 1.84, 0.003 N for N-Z stent L = 2.08, and 0.034 N for N-N stent L = 1.92. The restoring force of the composite stent was significantly lower. Finally, the composite stent generated no definitive kinks at a bending angle of 180{sup o}, regardless of loop length. However, the N-N stent clearly produced kinks, causing blockage of the inner cavity. In conclusion, the use of a metal and fiber composite in the construction of a knitted stent ensures an expansion performance comparable to that of metallic stents, while providing better kink resistance.

  7. Predicting Panel Ratings for Semantic Characteristics of Lung Nodules

    E-Print Network [OSTI]

    Schaefer, Marcus

    Predicting Panel Ratings for Semantic Characteristics of Lung Nodules Dmitriy Zinovev De@cdm.depaul.edu ABSTRACT In reading CT scans with potentially malignant lung nodules, radiologists make use of high level a second opinion - predicting these semantic characteristics for lung nodules. In our previous work, we

  8. The social influence factor: Impact of online product review characteristics

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

    The social influence factor: Impact of online product review characteristics on consumer purchasing of reviews and consumer purchasing decisions. The impact of online consumer reviews on consumer purchasing. The research challenge therefore entails review function characteristics and its impact on consumer purchasing

  9. Spectral characteristics of single and coupled microresonator lasers comprising a

    E-Print Network [OSTI]

    Cunningham, Brian

    Spectral characteristics of single and coupled microresonator lasers comprising a replica-molded introduced defect (2 section removed) have been examined with respect to the output spectrum, pump energy of intentionally introduced defects or coupled arrays of resonators to control the characteristics of microla- sers

  10. Best Entry Points for Structured Document Retrieval Part I: Characteristics

    E-Print Network [OSTI]

    Lalmas, Mounia

    Best Entry Points for Structured Document Retrieval ­ Part I: Characteristics Jane Reida , Mounia documents. This paper examines the concept of best entry points, which are document components from which investigates the basic characteristics of best entry points. Keywords: Structured document retrieval, focussed

  11. The Nevada railroad system: Physical, operational, and accident characteristics

    SciTech Connect (OSTI)

    1991-09-01

    This report provides a description of the operational and physical characteristics of the Nevada railroad system. To understand the dynamics of the rail system, one must consider the system`s physical characteristics, routing, uses, interactions with other systems, and unique operational characteristics, if any. This report is presented in two parts. The first part is a narrative description of all mainlines and major branchlines of the Nevada railroad system. Each Nevada rail route is described, including the route`s physical characteristics, traffic type and volume, track conditions, and history. The second part of this study provides a more detailed analysis of Nevada railroad accident characteristics than was presented in the Preliminary Nevada Transportation Accident Characterization Study (DOE, 1990).

  12. EIA - Household Transportation report: Household Vehicles Energy Use:

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic43,728

  13. Setting Your Household in Order. 

    E-Print Network [OSTI]

    Chenoweth, Lillian

    1982-01-01

    records Wills 3 Contents of Safe Deposit Box ----------------------~u 4 Credit and Debit Cards Account in Address and Account Number of Expiration name of Company telephone number number cards date 5 Debts Outstanding Petson or Due date... of Deposit (Banks - Savings and Loan - Credit Union) In whose Type of Account name(s) account Name and address of firm number 7 Investments GOVERNMENT BOND RECORD In whose name(s) Serial Purchase Maturity and number price date beneficiary OTHER...

  14. Energy Spending and Vulnerable Households

    E-Print Network [OSTI]

    Jamasb, Tooraj; Meier, Helena

    2011-01-26

     of gas and electricity prices. Figure 1 shows the average yearly gas  and electricity price developments for the UK during the period of our study. The  data is drawn from the IEA (1997) and IEA (2008).3 Both prices have developed  rather  similarly,  and  were  below  their  1991... time. 3 The IEA data is also published by the Department of Energy and Climate Change (DECC). EPRG No                                                                                                                     6 reduction  in  electricity...

  15. spaceheat_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    3.1 3.2 3.6 1.8 3.7 11.7 For Two or More Units ... 0.8 0.4 Q Q Q 0.3 0.5 36.5 Heat Pump ... 10.4 1.2 1.6 3.0 4.6 0.8 2.0 17.4 Other...

  16. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Air-Conditioning 2 ... 57.5 1.3 3.9 6.2 5.7 6.7 Without a Heat Pump ... 46.2 1.2 3.2 5.5 3.8 8.1 With a Heat Pump...

  17. ac_household2001.pdf

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

    Central Air-Conditioning 3 ... 57.5 6.2 10.7 15.2 25.3 4.5 12.4 5.3 Without a Heat Pump ... 46.2 4.9 9.1 12.1 20.1 3.6 10.4 6.1 With a Heat Pump...

  18. Juvenile Responses to Household Ecology

    E-Print Network [OSTI]

    Sugiyama, Lawrence S.

    discussion addresses longstanding issues in hunter-gatherer stud- ies: are there recurrent features of hunter). In Putaya, eleven open-sided thatched houses with raised palm wood floors were located along both sides

  19. appl_household2001.pdf

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

    18.1 2.0 5.3 4.1 3.3 3.5 9.9 Most-Used Refrigerator Defrost Method Frost-Free ... 96.9 8.0 25.7 21.8 19.1 22.3 7.8 Manual...

  20. spaceheat_household2001.pdf

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

    NE Natural Gas ... 59.1 14.0 4.2 9.8 2.6 Central Warm-Air Furnace ... 44.8 10.0 3.5 6.5 5.6 For One Housing...

  1. spaceheat_household2001.pdf

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

    NE Natural Gas ... 59.1 10.5 8.6 1.9 8.6 Central Warm-Air Furnace ... 44.8 5.8 5.1 0.7 10.4 For One Housing...

  2. spaceheat_household2001.pdf

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

    NE Natural Gas ... 59.1 18.9 13.8 5.1 4.5 Central Warm-Air Furnace ... 44.8 16.3 11.8 4.6 4.7 For One Housing...

  3. spaceheat_household2001.pdf

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

    1.7 5.7 6.7 Natural Gas ... 41.3 37.7 1.1 0.6 1.9 10.2 Central Warm-Air Furnace ... 34.6 31.8 0.5 0.4 1.8 11.8 For One Housing Unit...

  4. ac_household2001.pdf

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

    ... 58.2 57.6 6.3 11.8 5.1 5.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ... 44.7 43.6 3.2 7.1 3.5 7.0 Without a Heat Pump...

  5. ac_household2001.pdf

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

    ... 22.5 57.6 6.3 11.8 5.1 6.2 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ... 12.7 43.6 3.2 7.1 3.5 8.5 Without a Heat Pump...

  6. spaceheat_household2001.pdf

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

    7.4 14.8 1.1 6.9 Natural Gas ... 17.8 6.5 4.5 6.4 0.3 9.9 Central Warm-Air Furnace ... 10.3 4.4 2.4 3.2 0.3 13.4 For One Housing Unit...

  7. spaceheat_household2001.pdf

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

    Natural Gas ... 59.1 32.3 10.0 13.1 3.6 6.0 Central Warm-Air Furnace ... 44.8 22.7 7.3 11.9 3.0 6.8 For One...

  8. spaceheat_household2001.pdf

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

    Natural Gas ... 59.1 15.7 6.8 2.4 6.5 7.8 Central Warm-Air Furnace ... 44.8 12.7 5.9 1.9 4.9 9.2 For One...

  9. spaceheat_household2001.pdf

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

    16.4 6.8 4.5 Natural Gas ... 59.1 44.3 5.6 7.1 2.2 6.5 Central Warm-Air Furnace ... 44.8 36.2 2.9 3.6 2.1 8.2 For One Housing Unit...

  10. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre,1 Transportation logo

  11. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre,1 Transportation

  12. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre,1 Transportation1.

  13. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic Feet)6 The71999

  14. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic Feet)6 The71999C

  15. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic Feet)6

  16. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic

  17. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. Vehicle Miles

  18. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. Vehicle Miles

  19. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. Vehicle Miles

  20. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. Vehicle

  1. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. VehicleDetailed

  2. Household Vehicles Energy Consumption 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. VehicleDetailedW as

  3. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir Conditioning

  4. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir

  5. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a. Air

  6. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a. Air2a. Air

  7. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a. Air2a.

  8. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a. Air2a.2a.

  9. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.

  10. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a. Air

  11. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a. Air5a.

  12. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a.

  13. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a.2001 Air

  14. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a.2001

  15. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a.20019a.

  16. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR

  17. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest Census

  18. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest

  19. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest2a.

  20. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest2a.a.

  1. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest2a.a.2a.

  2. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by

  3. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a. Appliances

  4. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.

  5. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.6a.

  6. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.6a.2001

  7. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.6a.20018a.

  8. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.6a.20018a.9a.

  9. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The0

  10. char_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos AlamosSimulation Initiative ccsi.jpg The03a.

  11. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome Office

  12. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome Office0a.

  13. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome

  14. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a. Home

  15. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a. Homea.

  16. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a.

  17. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a.3a.

  18. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a.3a.2001

  19. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of

  20. housingunit_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years ofHousing Unit Tables (Million

  1. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R G Y0a.

  2. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R G

  3. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R G2a.

  4. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R G2a.a.

  5. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R

  6. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R3a.

  7. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R3a.4a.

  8. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E

  9. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E6a. Space

  10. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E6a.

  11. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E6a.8a.

  12. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E6a.8a.9a.

  13. usage_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r mReducing PAD District7Usage Indicators

  14. The paths and characteristics of real estate entrepreneurs

    E-Print Network [OSTI]

    Kazmierski, Michael (Michael Anthony)

    2008-01-01

    What paths have real estate entrepreneurs taken to establish their own firm? Also, what characteristics did they develop and utilize in the process? This thesis gives the unique opportunity to better understand the life ...

  15. Capillary characteristics in microfluidic experiments and computational simulation

    E-Print Network [OSTI]

    Das, Anusuya

    2011-01-01

    Angiogenesis is crucial during many physiological processes, and is influenced by various biochemical and biomechanical factors. Models have proven useful in understanding the mechanisms of angiogenesis and the characteristics ...

  16. Characteristics of corn and sorghum for tortilla processing 

    E-Print Network [OSTI]

    Gonzalez de Palacios, Maria de Jesus

    1980-01-01

    CHARACTERISTICS OF CORN AND SORGHUM FOR TORTILLA PROCESSING A Thesis by MARIA DE JESUS GONZALEZ DE PALACIOS Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE December 1980 Major Subject: Food Science and Technology CHARACTERISTICS OF CORN AND SORGHUM FOR TORTILLA PROCESSING A Thesis by MARIA DE JESUS GONZALEZ DE PALACIOS Approved as to style and content by: an o omm t em er em er ea o...

  17. Psychological characteristics of elite and non-elite level gymnasts 

    E-Print Network [OSTI]

    Waples, Steven Ballard

    2005-02-17

    -1 PSYCHOLOGICAL CHARACTERISTICS OF ELITE AND NON-ELITE LEVEL GYMNASTS A Record of Study by STEVEN B. WAPLES Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of DOCTOR OF EDUCATION December 2003 Major Subject: Physical Education PSYCHOLOGICAL CHARACTERISTICS OF ELITE AND NON-ELITE LEVEL GYMNASTS A Record of Study by STEVEN B. WAPLES Submitted to Texas A&M University...

  18. Characteristic impedances in output cylindrical coaxial cavity resonator of klystron

    SciTech Connect (OSTI)

    Dong, Yuhe [School of Science, Inner Mongolia University of Science and Technology, BaoTou, Inner Mongolia (China); Xie, Xingjuan; Huang, Chuanlu, E-mail: bentu1985@yahoo.com.cn [lnstitute of Electronics, Chinese Academy of Sciences, Beijing (China)

    2011-07-01

    Cylindrical coaxial cavity resonator with shift-tubes coupled with rectangular waveguide is designed. The gap characteristic impedance and external quality factor of higher order transverse magnetic mode TM{sub 310} in the cavity are simulated with high frequency electromagnetic simulator ISFEL-3D. The ununiformity of the characteristic impedance resulted from the coupling aperture is reduced through introduction of concave delves on peripheral wall of the cavity. (author)

  19. Retail Shelf-life Characteristics of Dry-aged Beef 

    E-Print Network [OSTI]

    Ulbrich, Carson

    2010-07-14

    SCHOLAR A Senior Scholars Thesis by CARSON JOSEPH ULBRICH RETAIL SHELF-LIFE CHARACTERISTICS OF DRY-AGED BEEF Approved by: Research Advisors: Jeffrey W. Savell Davey B. Griffin Associate Dean for Undergraduate Research: Robert C. Webb... ULBRICH iii ABSTRACT Retail Shelf-Life Characteristics of Dry-Aged Beef. (April 2010) Carson Joseph Ulbrich Department of Animal Science Texas A&M University Research Advisors: Drs. Jeffrey W. Savell and Davey B. Griffin Department...

  20. Wave energy attenuation and shoreline alteration characteristics of submerged breakwaters 

    E-Print Network [OSTI]

    Krafft, Katherine Margaret

    1993-01-01

    WAVE ENERGY ATTENUATION AND SHORELINE ALTERATION CHARACTERISTICS OF SUBMERGED BREAKWATERS A Thesis by KATHERINE MARGARET KRAFFT Submitted to the Office of Graduate Studies of Texas AIM University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE August 1993 Major Subject: Ocean Engineering WAVE ENERGY ATTENUATION AND SHORELINE ALTERATION CHARACTERISTICS OF SUBMERGED BREAKWATERS A Thesis by KATHERINE MARGARET KRAFFT Approved as to style and content by: John...