National Library of Energy BETA

Sample records for household income million

  1. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    1 Home Electronics Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Electronics Characteristics"

  2. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Living Space Characteristics"

  3. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Characteristics"

  4. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    6 Air Conditioning Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Air Conditioning Characteristics"

  5. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Air-Conditioning Usage Indicators"

  6. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    HC7.9 Home Appliances Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Characteristics" "Total

  7. " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"

    Energy Information Administration (EIA) (indexed site)

    3 Lighting Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Lighting Usage Indicators" "Total U.S. Housing

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

    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" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Water Heating Characteristics"

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

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

    Programs for Low- and Moderate-Income Households Loan Programs for Low- and Moderate-Income Households Better Buildings Residential Network Multifamily and Low-Income Housing Peer ...

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

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

    Department of Energy 5: April 6, 2009 Household Gasoline Expenditures by Income Fact #565: April 6, 2009 Household Gasoline Expenditures by Income 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 have a higher share of spending on gasoline each year than households in the other quintiles. Household Gasoline Expenditures by Income Quintile Bar graph

  11. Loan Programs for Low- and Moderate-Income Households

    Energy.gov [DOE]

    Better Buildings Residential Network Multifamily and Low-Income Housing Peer Exchange Call Series: Loan Programs for Low- and Moderate-Income Households, March 13, 2014.

  12. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect

    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.

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

    Energy Information Administration (EIA) (indexed site)

    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 Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Census Region and Division Northeast

  14. "Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators"

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

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  16. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    ,"Total U.S.1 (millions)",,,..."Below Poverty Line2" ,,"Less than 20,000","20,000 to ... the number of households below the poverty line, the annual household income and ...

  17. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Air Conditioning Tables (Million U.S. Households; 24 pages, 138 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 HC4-3a. Air Conditioning by Household Income, Million U.S. Households, 2001 2 HC4-4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 2 HC4-5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2

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

    Reports and Publications

    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.

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

    SciTech Connect

    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.

  20. Targeted Marketing and Program Design for Low- and Moderate-Income Households

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Low- / Moderate-Income Peer Exchange Call: Targeted Marketing and Program Design for Low- and Moderate-Income Households, Call Slides and Discussion Summary, October 11, 2011.

  1. EPA Webinar: Bringing Energy Efficiency and Renewable Housing to Low-Income Households

    Energy.gov [DOE]

    Hosted by the U.S. Environmental Protection Agency, this webinar will explore the topic of linking and leveraging energy efficiency and renewable energy programs for limited-income households, including the need to coordinate with other energy assistance programs.

  2. DOE Provides $96.4 Million to Low-Income Families for Home Weatherization |

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

    Department of Energy $96.4 Million to Low-Income Families for Home Weatherization DOE Provides $96.4 Million to Low-Income Families for Home Weatherization July 6, 2006 - 2:50pm Addthis Funding is Second Installment of $243 Million in Total Weatherization Grants for FY 2006 WASHINGTON, D.C. - U.S. Department of Energy (DOE) Secretary Samuel W. Bodman today announced $96.4 million in weatherization program grants to 19 states to make energy efficiency improvements in homes of low-income

  3. Department of Energy Provides Nearly $88 Million to Low-Income Families for

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

    Home Weatherization | Department of Energy 88 Million to Low-Income Families for Home Weatherization Department of Energy Provides Nearly $88 Million to Low-Income Families for Home Weatherization June 29, 2007 - 2:36pm Addthis Funding is Second Installment of $200 Million in Total Weatherization Grants for FY 2007 WASHINGTON, DC - U.S. Department of Energy (DOE) today announced $88 million in weatherization grants to 20 states to make energy efficiency improvements in homes of low-income

  4. Energy Department Provides $140.3 Million to Low-Income Families for Home

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

    Weatherization | Department of Energy 140.3 Million to Low-Income Families for Home Weatherization Energy Department Provides $140.3 Million to Low-Income Families for Home Weatherization April 3, 2006 - 9:55am Addthis Funding is first installment of $243 million in total weatherization grants for FY 2006 WASHINGTON, D.C. - U.S. Department of Energy (DOE) Secretary Samuel W. Bodman today announced $140.3 million in weatherization program grants to 31 states and the Navajo Nation to make

  5. Department of Energy Provides Nearly $112 Million to Low-Income Families

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

    for Home Weatherization | Department of Energy 112 Million to Low-Income Families for Home Weatherization Department of Energy Provides Nearly $112 Million to Low-Income Families for Home Weatherization March 29, 2007 - 12:17pm Addthis Funding is First Installment of $204.5 Million in Total Weatherization Grants for FY 2007 WASHINGTON, DC - U.S. Department of Energy (DOE) today announced $111.6 million in weatherization grants to 30 states and the Navajo Nation to make energy efficiency

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

    SciTech Connect

    Eisenberg, Joel Fred

    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.

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

    SciTech Connect

    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.

  8. appl_household2001.pdf

    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 for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.8 1.6 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.2 Kitchen Appliances Cooking Appliances Oven

  9. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Household Size 1 Person ....................................... 28.2 9.7 --

  10. Department of Energy Provides Nearly $88 Million to Low-Income...

    Energy Saver

    ... More Than 49 Million in Weatherization Funding and Energy Efficiency Grants for New Hampshire Obama Administration Delivers More than 448 Million for Weatherization Programs ...

  11. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    3a. Air Conditioning by Household Income, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.9 1.5 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 12.3 17.4 21.5 31.7 9.6 23.4 3.9 Air Conditioners Not Used ............ 2.1 0.4 0.7 0.5 0.5 0.4 0.9 20.8

  12. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,2.9,0.8,0... the number of households below the poverty line, the annual household income and ...

  13. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,3.7,2.9,0... the number of households below the poverty line, the annual household income and ...

  14. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,6.7,10.1,... the number of households below the poverty line, the annual household income and ...

  15. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,7.2,3.4,0... the number of households below the poverty line, the annual household income and ...

  16. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,5,3.9,2.9... the number of households below the poverty line, the annual household income and ...

  17. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,3.1,0.9,0... the number of households below the poverty line, the annual household income and ...

  18. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line3" "Below 100 Percent",16.9,5.4,5.6,2... the number of households below the poverty line, the annual household income and ...

  19. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,6.9,0.9,2... the number of households below the poverty line, the annual household income and ...

  20. " Million Housing Units, Final...

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,2.4,1,2.1... the number of households below the poverty line, the annual household income and ...

  1. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    5 Household Demographics of U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Household Demographics" "Total

  2. BENTON PUD LOW INCOME CONSERVATION PROGRAM

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

    result in a preference being given to households with incomes below 125% of Federal Poverty Guidelines (FPG) Upper low income households with incomes between 125 and 200%...

  3. " Million U.S. Housing Units" ,,"2005...

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  4. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  5. usage_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Usage Indicators by South Census Region, Million U.S. Households, 2001 5 HC6-12a. Usage Indicators by West Census Region, Million U.S. Households, 2001 5 These data are from the ...

  6. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Home Office Equipment by South Census Region, Million U.S. Households, 2001 1 HC7-12a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 1 These data are ...

  7. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    5 Fuels Used and End Uses in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Fuels Used and End Uses" "Total

  8. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    5 Televisions in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Televisions" "Total

  9. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    5 Water Heating in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Water Heating" "Total

  10. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    5 Appliances in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Appliances" "Total

  11. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    5 Computers and Other Electronics in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Computers and Other Electronics"

  12. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    5 Air Conditioning in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000 or More" "Air Conditioning" "Total

  13. " Million U.S. Housing Units" ,,"2005...

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... "Income Relative to Poverty Line" "Below 100 Percent",16.6,15.6,1.1,"...

  14. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2001 2 HC2-12a. Household Characteristics by West Census Region, Million U.S. Households, 2001 2 These data are from the 2001 Residential Energy Consumption Survey ...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

  16. " Million U.S. Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    5 Structural and Geographic Characteristics of U.S. Homes, by Household Income, 2009" " Million U.S. Housing Units, Final" ,,"Household Income" ,"Total U.S.1 (millions)",,,,,,,,"Below Poverty Line2" "Structural and Geographic Characteristics",,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 to $99,999","$100,000 to $119,999","$120,000

  17. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    4 Weatherization Population Facts - Roughly 25% of Federally eligible households move in and out of poverty "classification" each year. - The average income of Federally eligible households in FY 2005 was $16,264, based on RECS and Bureau of the Census' Current Population Survey (CPS) data. - States target the neediest, especially the elderly, persons with disabilities, and families with children. - Since the inception of the Weatherization Assistance Program in 1976, over 6.3 million

  18. Targeted Marketing and Program Design for Low- and Moderate-Income...

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

    Targeted Marketing and Program Design for Low- and Moderate-Income Households Targeted Marketing and Program Design for Low- and Moderate-Income Households Better Buildings ...

  19. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.5 Total .............................................................. 107.0 20.3 14.8 5.4 NE Household Size 1 Person ...................................................... 28.2 6.0 4.4 1.6 3.5 2 Persons

  20. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State income

  1. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Total Census Division East North Central West North Central 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 24.5 17.1 7.4 NE Household Size 1 Person ...................................................... 28.2 6.7 4.7 2.0 6.2 2 Persons

  2. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.5 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Household Size 1 Person ...................................................... 28.2 9.9 5.0 1.8 3.1 6.3 2 Persons

  3. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Census Division Mountain Pacific 0.5 1.0 1.8 1.1 Total .............................................................. 107.0 23.3 6.7 16.6 NE Household Size 1 Person ...................................................... 28.2 5.6 1.8 3.8 5.4 2 Persons .................................................... 35.1 7.3 1.9 5.5

  4. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.4 0.5 1.6 1.4 2.0 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.3 Household Size 1 Person ....................................... 28.2 15.0 3.3 7.9 1.9 5.9 2 Persons

  5. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total Rented Units ........................ 34.3 10.5 7.4 15.2 1.1 6.9 Household Size 1 Person ....................................... 12.3 2.5 2.6 7.0 0.3 10.0 2 Persons

  6. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    8a. Household Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Household Size 1 Person ...................................................... 28.2 14.6 5.3 4.8 3.6 6.4 2 Persons .................................................... 35.1 15.7 5.7

  7. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.8 Households With Electric Air-Conditioning Equipment ...................... 82.9 14.5 11.3 3.2 3.3 Air Conditioners Not Used ........................... 2.1 0.3 0.3 Q 28.3 Households Using Electric Air-Conditioning 1

  8. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1

  9. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1

  10. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Census Division Mountain Pacific 0.4 1.2 1.7 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 10.7 3.4 7.2 7.1 Air Conditioners Not Used ........................... 2.1 1.1 0.2 0.9 15.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 9.6 3.2

  11. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1

  12. Household vehicles energy consumption 1994

    SciTech Connect

    1997-08-01

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

  13. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Household Size 1 Person ....................................... 28.2 2.5 8.1 6.5

  14. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.0 1.2 1.2 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Household Size 1 Person ....................................... 28.2 2.5 4.5 5.1 4.0 3.7 8.3 7.5 2 Persons

  15. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.3 0.4 2.0 2.9 1.3 Total Owner-Occupied Units ....... 72.7 63.2 2.1 1.8 5.7 6.7 Household Size 1 Person ....................................... 15.8 12.5 0.8 0.9 1.6 10.3 2 Persons

  16. Microsoft Word - Household Energy Use CA

    Energy Information Administration (EIA) (indexed site)

    0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site

  17. Household energy consumption and expenditures, 1990

    SciTech Connect

    Not Available

    1993-03-02

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

  18. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ......................................... 96.2 22.4 15.7 6.7 1.3 Personal Computers 1 ................................. 60.0

  19. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ......................................... 96.2 34.6 18.4 6.0 10.1 1.2 Personal Computers 1

  20. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Division Mountain Pacific 0.5 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Households Using Office Equipment ......................................... 96.2 21.4 6.2 15.2 1.0 Personal Computers 1 ................................. 60.0 14.3 4.0 10.4 3.7 Number of

  1. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Total Census Division Middle Atlantic New England 0.5 1.1 1.4 1.2 Total .............................................................. 107.0 20.3 14.8 5.4 NE Households Using Office Equipment ......................................... 96.2 17.9 12.8 5.0 1.3 Personal Computers 1 ................................. 60.0 10.9

  2. Household magnets

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

    Household magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to put it back

  3. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning

  4. ac_household2001.pdf

    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 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.1 1.2 1.1 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 13.6 16.0 14.7 10.4 10.5 17.6 4.7 Air Conditioners Not Used ............ 2.1 Q 0.3 0.5 0.3 0.4 0.5 27.2 Households Using Electric Air-Conditioning 2

  5. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using

  6. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Census Division Mountain Pacific 0.5 1.0 1.7 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 22.1 6.6 15.5 1.1 1

  7. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    4 Structural and Geographic Characteristics of U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,,,,,"5 or More Members" ,,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Census Region and Division"

  8. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    4 Computers and Other Electronics in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Computers and Other Electronics",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Computers" "Number of Computers"

  9. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    4 Fuels Used and End Uses in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Fuels Used and End Uses",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Fuels Used for Any Use"

  10. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    4 Appliances in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Appliances",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Cooking Appliances" "Stoves (Units With Both" "an Oven and a Cooktop)"

  11. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Space Heating",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Space Heating Equipment" "Use Space Heating

  12. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    4 Air Conditioning in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Air Conditioning",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Air Conditioning Equipment" "Use Air Conditioning

  13. EIA - Household Transportation report: Household Vehicles Energy...

    Energy Information Administration (EIA) (indexed site)

    logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1994 August 1997 Release Next Update: EIA has discontinued this series....

  14. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.4 1.1 1.1 1.2 1.2 1.0 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Households Using Office Equipment .......................... 96.2 14.9 16.7 17.0 12.2 13.0 22.4 4.4 Personal Computers 2

  15. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 2.1 1.0 0.9 1.5 1.0 Total Households With Air-Conditioning ........................... 82.9 5.4 20.9 20.2 14.2 22.1 8.1 Air Conditioners Not Used ............ 2.1 Q 0.4 0.3 0.8 0.4 23.2

  16. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    7 Household Demographics of U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Number of Household Members" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Number of Household Members" "1 Person",31.3,6,7.4,11.5,6.3 "2 Persons",35.8,6.3,8.5,13.4,7.6 "3

  17. Household energy consumption and expenditures 1993

    SciTech Connect

    1995-10-05

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

  18. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    Program Definitions DOE Weatherization: Department of Energy's Weatherization Assistance Program DOE Weatherization Eligible Households: Households with incomes at or below 125% of the Federal poverty level, which varies by family size; however, a State may instead elect to use the LIHEAP income standard if its State LIHEAP income standard is at least 125% of the Federal poverty level. Data listed in this chapter include previously weatherized units. DOE Weatherization Eligible Households are a

  19. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Census Division East North Central West North Central 0.5 1.0 1.2 1.5 Total .............................................................. 107.0 24.5 17.1 7.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 23.8 16.6 7.2 NE 1

  20. appl_household2001.pdf

    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 Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.4 1.5 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 36.2 19.4 6.4 10.3 1.5 1

  1. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1

  2. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ...........................................

  3. appl_household2001.pdf

    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 RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Kitchen Appliances Cooking Appliances Oven ........................................... 33.4 10.1 7.3 14.9 1.1

  4. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    8a. Appliances by Urban/Rural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.9 1.4 1.2 1.3 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 47.5 17.5 19.9 16.8 4.2 1

  5. appl_household2001.pdf

    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 Total Census Division Middle Atlantic New England 0.5 1.0 1.3 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 19.6 14.5 5.2 1.1 1

  6. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Space Heating by West Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.6 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Heat Home .................................................... 106.0 22.6 6.7 15.9 NE Do Not Heat Home ....................................... 1.0 0.7 Q 0.7 10.6 No Heating Equipment

  7. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.4 1.9 3.0 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Heat Home ..................................... 72.4 63.0 2.0 1.7 5.7 6.7 Do Not Heat Home

  8. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home

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

    SciTech Connect

    Not Available

    1993-03-02

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

  10. BC Hydro Brings Energy Savings to Low-Income Families in Canada...

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

    BC Hydro Brings Energy Savings to Low-Income Families in Canada BC Hydro Brings Energy Savings to Low-Income Families in Canada The number of British Columbia, Canada, households ...

  11. EIA - Household Transportation report: Household Vehicles Energy...

    Energy Information Administration (EIA) (indexed site)

    National Research Council, Effectiveness and Impact of Corporate Average Fuel Economy (CAFE) Standards (Washington, DC: National Academy of Sciences, 2002), p. 85. 4 8.3 million...

  12. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    4 Televisions in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Televisions",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Televisions" "Number of Televisions" 0,1.5,1,0.3,"Q","Q",0.1

  13. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    4 Water Heating in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Water Heating",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Number of Storage Tank Water Heaters" 0,2.9,0.9,0.8,0.4,0.4,0.3

  14. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    a. Appliances by Climate Zone, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.1 Total .................................................. 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Kitchen Appliances Cooking Appliances Oven

  15. appl_household2001.pdf

    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 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.5 1.2 1.1 1.2 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 1

  16. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.5 1.5 1.1 1.1 1.1 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.3 Heat Home ..................................... 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Do Not Heat Home ........................

  17. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No

  18. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    9 2005 Housing Unit Ownership, by Income Level and Weatherization Eligibility (Millions) Single-Family Multi-Family Unit Mobile Home 2005 Household Income Own Rent Own Rent Own Rent Less than $15,000 6.1 2.4 0.3 7.1 1.6 N.A. $15,000 to $30,000 11.0 3.0 0.4 5.8 2.2 0.3 $30,000 to $49,999 15.7 2.5 N.A 3.9 1.2 N.A. All Households 68.2 10.7 4.2 20.1 5.7 1.0 Federally Eligible 10.9 4.5 1.1 9.4 2.5 0.6 Federally Ineligible 57.3 6.2 3.1 10.7 3.2 0.4 Below 100% Poverty Line 5.3 2.4 0.7 6.1 1.5 0.3

  19. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    1 Home Electronics Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Home Electronics Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Personal Computers" "Do Not Use a Personal Computer

  20. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    2 Home Electronics Usage Indicators by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Home Electronics Usage Indicators" "Total",111.1,30,34.8,18.4,15.9,12 "Personal Computers" "Do Not Use a Personal

  1. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    3 Lighting Usage Indicators by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Lighting Usage Indicators" "Total U.S. Housing Units",111.1,30,34.8,18.4,15.9,12 "Indoor Lights Turned On During Summer" "Number of Lights Turned

  2. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Living Space Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than

  3. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Space Heating Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Do Not Have Space Heating Equipment",1.2,0.3,0.3,"Q",0.2,0.2 "Have Main

  4. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Air-Conditioning Usage Indicators" "Total",111.1,30,34.8,18.4,15.9,12 "Do Not Have Cooling Equipment",17.8,5.4,5.3,2.7,2.5,2 "Have Cooling

  5. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    HC6.9 Home Appliances Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Home Appliances Characteristics" "Total U.S.",111.1,30,34.8,18.4,15.9,12 "Cooking Appliances" "Conventional Ovens" "Use an

  6. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    6 Air Conditioning Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Air Conditioning Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Do Not Have Cooling Equipment",17.8,5.4,5.3,2.7,2.5,2 "Have Coolling

  7. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    8 Water Heating Characteristics by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Water Heating Characteristics" "Total",111.1,30,34.8,18.4,15.9,12 "Number of Water Heaters" "1.",106.3,28.8,33.4,17.4,15.3,11.4 "2 or

  8. Household energy use in non-OPEC developing countries

    SciTech Connect

    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)

  9. Energy Department Awards $92.5 Million to 19 States to Weatherize Homes of

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

    Low-Income Families | Department of Energy 92.5 Million to 19 States to Weatherize Homes of Low-Income Families Energy Department Awards $92.5 Million to 19 States to Weatherize Homes of Low-Income Families July 18, 2005 - 2:22pm Addthis WASHINGTON, DC - Secretary of Energy Samuel W. Bodman announced that $92.5 million has been awarded to 19 states to improve the energy efficiency of low-income family homes. The Department of Energy's (DOE) Weatherization Assistance Program makes

  10. Try This: Household Magnets

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

    Household Magnets Household Magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to

  11. Projecting household energy consumption within a conditional demand framework

    SciTech Connect

    Teotia, A.; Poyer, D.

    1991-01-01

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

  12. Projecting household energy consumption within a conditional demand framework

    SciTech Connect

    Teotia, A.; Poyer, D.

    1991-12-31

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

  13. Household waste disposal in Mekelle city, Northern Ethiopia

    SciTech Connect

    Tadesse, Tewodros Ruijs, Arjan; Hagos, Fitsum

    2008-07-01

    In many cities of developing countries, such as Mekelle (Ethiopia), waste management is poor and solid wastes are dumped along roadsides and into open areas, endangering health and attracting vermin. The effects of demographic factors, economic and social status, waste and environmental attributes on household solid waste disposal are investigated using data from household survey. Household level data are then analyzed using multinomial logit estimation to determine the factors that affect household waste disposal decision making. Results show that demographic features such as age, education and household size have an insignificant impact over the choice of alternative waste disposal means, whereas the supply of waste facilities significantly affects waste disposal choice. Inadequate supply of waste containers and longer distance to these containers increase the probability of waste dumping in open areas and roadsides relative to the use of communal containers. Higher household income decreases the probability of using open areas and roadsides as waste destinations relative to communal containers. Measures to make the process of waste disposal less costly and ensuring well functioning institutional waste management would improve proper waste disposal.

  14. Table 5.9. U.S. Average Vehicle-Miles Traveled by Family Income...

    Energy Information Administration (EIA) (indexed site)

    1993 Household Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

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

    SciTech Connect

    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.

  16. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    2 Energy Burden Definitions Energy burden is an important statistic for policy makers who are considering the need for energy assistance. Energy burden can be defined broadly as the burden placed on household incomes by the cost of energy, or more simply, the ratio of energy expenditures to household income. However, there are different ways to compute energy burden, and different interpretations and uses of the energy burden statistics. DOE Weatherization primarily uses mean individual burden

  17. EERE Celebrates Completion of 1 Million Weatherized American Homes |

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

    Department of Energy EERE Celebrates Completion of 1 Million Weatherized American Homes EERE Celebrates Completion of 1 Million Weatherized American Homes September 27, 2012 - 10:07am Addthis 1 of 6 David Poindexter with Veterans Green Jobs, puts moisture barrier and insulation into the crawl space of this Lakewood, Colorado, home. This home is part of the Energy Department's Weatherization Assistance Program that supports energy efficiency upgrades to low-income homes in Denver. In

  18. Celebrating the Completion of 1 Million Weatherized American Homes |

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

    Department of Energy Celebrating the Completion of 1 Million Weatherized American Homes Celebrating the Completion of 1 Million Weatherized American Homes Addthis 1 of 6 David Poindexter with Veterans Green Jobs, puts moisture barrier and insulation into the crawl space of this Lakewood, Colorado, home. This home is part of the Energy Department's Weatherization Assistance Program that supports energy efficiency upgrades to low-income homes in Denver. In addition, the Department's

  19. ac_household2001.pdf

    Annual Energy Outlook

    ... those households were treated as if the fuel was electricity. 3 The 2001 RECS reported ... Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding ...

  20. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

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

  1. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

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

  2. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    5 Space Heating Usage Indicators by Number of Household Members, 2005" " Million U.S. Housing Units" ,,"Number of Households With --" ,"Housing Units (millions)" ,,"1 Member","2 Members","3 Members","4 Members","5 or More Members" "Space Heating Usage Indicators" "Total U.S. Housing Units",111.1,30,34.8,18.4,15.9,12 "Do Not Have Heating Equipment",1.2,0.3,0.3,"Q",0.2,0.2

  3. Energy Department Awards $92.5 Million to 19 States to Weatherize...

    Energy Saver

    Energy Department Awards 92.5 Million to 19 States to Weatherize Homes of Low-Income Families July 18, 2005 - 2:22pm Addthis WASHINGTON, DC - Secretary of Energy Samuel W. Bodman ...

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

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

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for ...

  5. Household Vehicles Energy Use Cover Page

    Energy Information Administration (EIA) (indexed site)

    Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback * PrivacySecurity *...

  6. Shared Solar Projects Powering Households Throughout America...

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

    Shared Solar Projects Powering Households Throughout America Shared Solar Projects Powering Households Throughout America January 31, 2014 - 2:30pm Addthis Shared solar projects ...

  7. Next Generation Household Refrigerator | Department of Energy

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

    Next Generation Household Refrigerator Next Generation Household Refrigerator Embraco's high efficiency, oil-free linear compressor.
    Credit: Whirlpool Embraco's high ...

  8. BC Hydro Brings Energy Savings to Low-Income Families in Canada |

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

    Department of Energy BC Hydro Brings Energy Savings to Low-Income Families in Canada BC Hydro Brings Energy Savings to Low-Income Families in Canada The number of British Columbia, Canada, households eligible for Better Buildings Residential Network member BC Hydro's Energy Conservation Assistance Program (ECAP) just doubled. British Columbia Energy Minister Bill Bennett recently announced an increase in the low-income qualification cutoff for BC Hydro's free home energy-saving kits and

  9. DOE to Fund up to $454 Million for Retrofit Ramp-Ups in Energy Efficiency |

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

    Department of Energy 454 Million for Retrofit Ramp-Ups in Energy Efficiency DOE to Fund up to $454 Million for Retrofit Ramp-Ups in Energy Efficiency September 14, 2009 - 12:00am Addthis WASHINGTON, DC - U.S. Secretary of Energy Steven Chu today announced a new $450 million program designed to catalyze a nationwide energy upgrade that experts estimate could save $100 million annually in utility bills for households and businesses. The Recovery Act's "Retrofit Ramp-Up" program will

  10. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

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

  11. Cover Page of Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update

    Household Vehicles Energy Use Cover Page Cover Page of Household Vehicles Energy Use: Latest Data & Trends...

  12. Texas Onshore Natural Gas Processed (Million Cubic Feet) (Million Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) (Million Cubic Feet) (Million Cubic Feet) Texas Onshore Natural Gas Processed (Million Cubic Feet) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 6,019 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Natural Gas Processed (Summary) Louisiana Natural Gas Summary

  13. Low Income Efficiency

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

    Materials Meeting 5, November 5, 2015 in Portland, Oregon Agenda BPA Low Income Benchmarking and October 2015 IM Updates Presentation Side by Side Comparison of BPA Measures...

  14. TableHC2.1.xls

    Annual Energy Outlook

    ... Housing Units (millions) 2005 Household Income 40,000 to 59,999 Below Poverty Line ... Housing Units (millions) 2005 Household Income 40,000 to 59,999 Below Poverty Line ...

  15. MillionSolarStrong_signs-SunShot

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

    MILLION S LAR STRONG #SunShot #SunShot #MILLION S LAR STRONG I AM #MILLION S LAR STRONG MY HOUSE IS #SunShot #SunShot I #MILLION S LAR STRONG I'M ARE YOU? #SunShot #MILLION S LAR STRONG #SELFIE #SunShot #MILLION S LAR STRONG #MILLION S LAR STRONG WE ARE #SunShot

  16. Resource handbook for low-income residential retrofits

    SciTech Connect

    Callaway, J.W.; Brenchley, D.L.; Davis, L.J.; Ivey, D.L.; Smith, S.A.; Westergard, E.J.

    1987-04-01

    The purpose of the handbook is to provide technical assistance to state grantees participating in the Partnerships in Low-Income Residential Retrofit (PILIRR) Program. PILIRR is a demonstration program aimed at identifying innovative, successful approaches to developing public and private support for weatherization of low-income households. The program reflects the basic concept that responsibility for financial support for conservation activities such as low-income residential retrofitting is likely to gradually shift from the DOE to the states and the private sector. In preparing the handbook, PNL staff surveyed over 50 programs that provide assistance to low-income residents. The survey provided information on factors that contribute to successful programs. PNL also studied the winning PILIRR proposals (from the states of Florida, Iowa, Kentucky, Oklahoma and Washington) and identified the approaches proposed and the type of information that would be most helpful in implementing these approaches.

  17. Federal options for low-income electricity policy

    SciTech Connect

    Baxter, L.W.

    1998-06-01

    Protection of low-income consumers remains an important public policy concern in a restructuring electricity industry. Policies are needed to ensure that low-income households have enough affordable electricity to protect their health and safety, and that they are not victimized by unscrupulous suppliers. In this paper, the author presents three broad federal roles in setting low-income electricity policy, and discuss three more specific policy areas: universal service, electricity assistance, and health and safety. He discusses the key policy issues that arise when considering these potential federal initiatives and draw upon reviews of proposed low-income policies from restructuring proposals in eight states--California, Massachusetts, New Hampshire, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin.

  18. charts.pdf

    Gasoline and Diesel Fuel Update

    Household Tables (Million U.S. Households; 24 pages, 122 kb) Contents 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, 2001 2 HC2-3a. Household Characteristics by Household Income, Million U.S. Households, 2001 2 HC2-4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 2001 2 HC2-5a. Household Characteristics by Type of Owner-Occupied Housing

  19. ac_household2001.pdf

    Annual Energy Outlook

    RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With ... RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Pays for Electricity ...

  20. char_household2001.pdf

    Annual Energy Outlook

    RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total ... RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Household Owns or ...

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

    SciTech Connect

    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.

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

    SciTech Connect

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

    2009-06-01

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

  3. QER- Comment of Low-income Energy Affordability Network [MA

    Energy.gov [DOE]

    Thank you, Secretary Moniz for the opportunity to submit testimony, I am entering this testimony to call attention to the Secretary and DOE staff, that DOE has operated a successful energy efficiency program for low income renters and home owners since DOE’s creation as a department, that leverages hundreds of millions of dollars in utility and other governmental and private investments...

  4. EPA Webinar- Solar for All: Making it Happen in Low-Income Communities

    Energy.gov [DOE]

    Hosted by the U.S. Environmental Protection Agency (EPA), this webinar is the third in a multi-part series highlighting efforts by state and local agencies, nonprofits, and utilities to bring energy efficiency and renewable energy to low-income households.

  5. Comparison of energy expenditures by elderly and non-elderly households: 1975 and 1985

    SciTech Connect

    Siler, A.

    1980-05-01

    The relative position of the elderly in the population is examined and their characteristic use of energy in relation to the total population and their non-elderly counterparts is observed. The 1985 projections are based on demographic, economic, and socio-economic, and energy data assumptions contained in the 1978 Annual Report to Congress. The model used for estimating household energy expenditure is MATH/CHRDS - Micro-Analysis of Transfers to Households/Comprehensive Human Resources Data System. Characteristics used include households disposable income, poverty status, location by DOE region and Standard Metropolitan Statistical Area (SMSA), and race and sex of the household head as well as age. Energy use by fuel type will be identified for total home fuels, including electricity, natural gas, bottled gas and fuel oil, and for all fuels, where gasoline use is also included. Throughout the analysis, both income and expenditure-dollar amounts for 1975 and 1985 are expressed in constant 1978 dollars. Two appendices contain statistical information.

  6. ,"Florida Natural Gas Processed (Million Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Florida Natural Gas Processed (Million Cubic ... 2:38:40 PM" "Back to Contents","Data 1: Florida Natural Gas Processed (Million Cubic ...

  7. Florida Natural Gas Processed (Million Cubic Feet)

    Annual Energy Outlook

    Processed (Million Cubic Feet) Florida Natural Gas Processed (Million Cubic Feet) Decade ... Referring Pages: Natural Gas Processed Florida Natural Gas Plant Processing Natural Gas ...

  8. ,"Virginia Natural Gas Repressuring (Million Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Virginia Natural Gas Repressuring (Million Cubic ... 2:51:54 AM" "Back to Contents","Data 1: Virginia Natural Gas Repressuring (Million Cubic ...

  9. Oklahoma Natural Gas Repressuring (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Repressuring (Million Cubic Feet) Oklahoma Natural Gas Repressuring (Million Cubic Feet) ... Referring Pages: Natural Gas Used for Repressuring Oklahoma Natural Gas Gross Withdrawals ...

  10. Kansas Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) Kansas Natural Gas Processed (Million Cubic Feet) Decade ... Referring Pages: Natural Gas Processed Kansas Natural Gas Plant Processing Natural Gas ...

  11. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 New Hampshire - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle ...

  12. Strategies for Collecting Household Energy Data

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012.

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

    SciTech Connect

    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.

  14. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect

    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.

  15. Energy Information Administration/Household Vehicles Energy Consumptio...

    Energy Information Administration (EIA) (indexed site)

    , Energy Information AdministrationHousehold Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related...

  16. Kingston Creek Hydro Project Powers 100 Households | Department...

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

    Kingston Creek Hydro Project Powers 100 Households Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting firm Nevada ...

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

    OpenEI (Open Energy Information) [EERE & EIA]

    Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

  18. Oklahoma Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Repressuring (Million Cubic Feet) Oklahoma Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 81,755 ...

  19. Nebraska Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Repressuring (Million Cubic Feet) Nebraska Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 1,629 ...

  20. Pennsylvania Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Repressuring (Million Cubic Feet) Pennsylvania Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 375 ...

  1. Pennsylvania Natural Gas Underground Storage Volume (Million...

    Annual Energy Outlook

    Underground Storage Volume (Million Cubic Feet) Pennsylvania Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 ...

  2. Arizona Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Repressuring (Million Cubic Feet) Arizona Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 103 ...

  3. Tennessee Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Repressuring (Million Cubic Feet) Tennessee Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 ...

  4. Ohio Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Repressuring (Million Cubic Feet) Ohio Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 ...

  5. Delaware Natural Gas Underground Storage Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Withdrawals (Million Cubic Feet) Delaware Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  6. Connecticut Natural Gas Underground Storage Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Withdrawals (Million Cubic Feet) Connecticut Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  7. Wisconsin Natural Gas Underground Storage Withdrawals (Million...

    Gasoline and Diesel Fuel Update

    Withdrawals (Million Cubic Feet) Wisconsin Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  8. Georgia Natural Gas Underground Storage Withdrawals (Million...

    Energy Information Administration (EIA) (indexed site)

    Withdrawals (Million Cubic Feet) Georgia Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

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

    SciTech Connect

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

    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.

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

    SciTech Connect

    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.

  11. WPN 00-3- 2000 Poverty Income Guidelines and Definition of Income

    Energy.gov [DOE]

    To provide states with the 2000 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  12. WPN 14-3: 2014 Poverty Income Guidance and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide Grantees with the 2014 Poverty Income Guidelines and Definition of Income for use in the Low-Income Weatherization Assistance Program (WAP).

  13. WPN 03-3: 2003 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2003 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  14. WPN 06-5: Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2006 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  15. WPN 07-3: Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2007 poverty income guidelines and definition of income for use in the low-income Weatherization Assistance Program.

  16. WPN 13-3: 2013 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2013 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program (WAP).

  17. WPN 98-5- 1998 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 1998 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  18. WPN 04-5: 2004 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide states with the 2004 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  19. WPN 02-3: 2002 Poverty Income Guidelines and Definition of Income

    Energy.gov [DOE]

    To provide states with the 2002 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  20. Low-income energy assistance programs: a profile of need and policy options

    SciTech Connect

    None

    1980-07-01

    This second report of the Fuel Oil Marketing Advisory Committee (FOMAC) of DOE is twofold: to update information on the energy needs of low-income persons and governmental response to such needs; and to emphasize the need for energy-conservation programs that may alleviate the enormous financial burden placed on low-income people by rising energy prices. FOMAC has continued to develop further and refine its initial energy-conservation recommendations. Mainly, the updated assessment document finds that the poor will expend at least 35% of their income directly on energy and will spend at least 21% of their income on household energy. Other economic impacts of rising energy costs on low-income groups are summarized. Appropriations and stipulations by Congress to aid the lo-income people are reviewed. After careful review of various program designs, FOMAC continues to support the income indexing/vendor line of credit approach. This design provides assistance to elgible households based on: energy needed, cost of fuel, and percentage of income. The cost of implementing the FOMAC design nationally would, according to estimates, range from $3.5 to $4.6 billion for the 1980-1981 winter heating season. A figure of $1.6 to $2.2 billion is being discussed in the Congress. Meeting the ongoing energy needs of the poor will require a coherent national policy which consists of aid in paying energy bills and aid in the poor's effort to conserve energy. The report seeks to promote such policies. Needs assessment, government response, FOMAC model, comments on the programs, projected cost of 1980-1981 Energy Assistance Program, need for conservation programs, and program financing are discussed.

  1. Energy Department Provides $140.3 Million to Low-Income Families...

    Office of Environmental Management (EM)

    ... 6,938,192 Michigan 15,446,624 Mississippi 1,850,660 Montana 2,623,349 New Hampshire 1,593,171 New Jersey 5,266,959 New York 21,818,047 Ohio 14,242,973 Oklahoma ...

  2. Department of Energy Provides Nearly $112 Million to Low-Income...

    Energy Saver

    5,850,524 Michigan 13,564,024 Mississippi 1,476,791 Montana 2,254,188 New Hampshire 1,351,967 New Jersey 4,560,095 New York 18,009,524 Ohio 12,270,440 Oklahoma ...

  3. The impact of forecasted energy price increases on low-income consumers

    SciTech Connect

    Eisenberg, Joel F.

    2005-10-31

    The Department of Energy’s Energy Information Administration (EIA) recently released its short term forecast for residential energy prices for the winter of 2005-2006. The forecast indicates significant increases in fuel costs, particularly for natural gas, propane, and home heating oil, for the year ahead. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation’s low-income households by primary heating fuel type, nationally and by Census Region. The statistics are intended for the use of policymakers in the Department of Energy’s Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2006 fiscal year.

  4. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Delaware - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals

  5. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Massachusetts - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross

  6. Wiring reconfiguration saves millions for Trinity supercomputer

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

    Wiring reconfiguration saves millions for Trinity supercomputer Wiring reconfiguration saves millions for Trinity supercomputer A moment of inspiration during a wiring diagram review has saved more than $2 million in material and labor costs for the Trinity supercomputer. August 15, 2016 The first row of cabinets for the Trinity supercomputer at Los Alamos National Laboratory. The first row of cabinets for the Trinity supercomputer at Los Alamos National Laboratory. Contact Nancy Ambrosiano

  7. week0520

    Gasoline and Diesel Fuel Update

    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 Indicators by Year of Construction, Million U.S. Households, 2001 5 HC6-3a. Usage Indicators by Household Income, Million U.S. Households, 2001 5 HC6-4a. Usage Indicators by Type of Housing Unit, Million U.S. Households, 2001 5 HC6-5a. Usage Indicators by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5

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

    Energy Information Administration (EIA) (indexed site)

    Million U.S. Households; 12 pages, 47 kb) Contents Pages HC7-1a. Home Office Equipment by Climate Zone, Million U.S. Households, 1997 1 HC7-2a. Home Office Equipment by Year of Construction, Million U.S. Households, 1997 1 HC7-3a. Home Office Equipment by Household Income, Million U.S. Households, 1997 1 HC7-4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 1997 1 HC7-5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 1997 1

  9. One Million Electric Vehicles By 2015

    SciTech Connect

    none,

    2011-02-01

    February 2011 status report on the steps needed to achieve President Obama's goal of putting one million electric vehicles on the road by 2015.

  10. One million curies of radioactive material recovered

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

    Radioactive material recovered One million curies of radioactive material recovered The accomplishment represents a major milestone in protecting our nation and the world from...

  11. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    Units" ,,"UrbanRural Location (as Self-Reported)" ,"Housing Units (millions)" "Space ... ,,"RSEs for UrbanRural Location (as Self-Reported)" ,"RSEs for Housing Units " "Space ...

  12. Million U.S. Housing Units Total...............................

    Energy Information Administration (EIA) (indexed site)

    Home Electronics Usage Indicators Detached Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. ...

  13. Mitigating Carbon Emissions: the Potential of Improving Efficiencyof Household Appliances in China

    SciTech Connect

    Lin, Jiang

    2006-07-10

    China is already the second's largest energy consumer in the world after the United States, and its demand for energy is expected to continue to grow rapidly in the foreseeable future, due to its fast economic growth and its low level of energy use per capita. From 2001 to 2005, the growth rate of energy consumption in China has exceeded the growth rate of its economy (NBS, 2006), raising serious concerns about the consequences of such energy use on local environment and global climate. It is widely expected that China is likely to overtake the US in energy consumption and greenhouse gas (GHG) emissions during the first half of the 21st century. Therefore, there is considerable interest in the international community in searching for options that may help China slow down its growth in energy consumption and GHG emissions through improving energy efficiency and adopting more environmentally friendly fuel supplies such as renewable energy. This study examines the energy saving potential of three major residential energy end uses: household refrigeration, air-conditioning, and water heating. China is already the largest consumer market in the world for household appliances, and increasingly the global production base for consumer appliances. Sales of household refrigerators, room air-conditioners, and water heaters are growing rapidly due to rising incomes and booming housing market. At the same time, the energy use of Chinese appliances is relatively inefficient compared to similar products in the developed economies. Therefore, the potential for energy savings through improving appliance efficiency is substantial. This study focuses particularly on the impact of more stringent energy efficiency standards for household appliances, given that such policies are found to be very effective in improving the efficiency of household appliances, and are well established both in China and around world (CLASP, 2006).

  14. Messaging Strategies for Low-Income Participants

    Office of Energy Efficiency and Renewable Energy (EERE)

    Better Buildings Neighborhood Program, BetterBuildings Low-Income Peer Exchange Call: Messaging and Messaging Strategies for Low-Income Program Participants, May 12, 2011.

  15. WPN 15-3: 2015 Poverty Income Guidelines and Definition of Income |

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

    Department of Energy 3: 2015 Poverty Income Guidelines and Definition of Income WPN 15-3: 2015 Poverty Income Guidelines and Definition of Income Archived 02/10/16, Superseded by WPN 16-3 To provide Grantees with the 2015 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program (WAP). WPN 15-3: 2015 Poverty Income Guidelines and Definition of Income (293.58 KB) More Documents & Publications WPN 14-3: 2014 Poverty Income Guidance and

  16. REPORTS; IDENTIFIED $774 MILLION IN QUESTIONED COSTS; AND $17

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

    FY 2016, WE ISSUED 74 REPORTS; IDENTIFIED $774 MILLION IN QUESTIONED COSTS; AND $17 MILLION IN FINES SETTLEMENTS AND RECOVERIES. DURING FY 2016, WE ISSUED 74 REPORTS; IDENTIFIED $774 MILLION IN QUESTIONED COSTS; AND $17 MILLION IN FINES SETTLEMENTS AND RECOVERIES. DURING FY 2016, WE ISSUED 74 REPORTS; IDENTIFIED $774 MILLION IN QUESTIONED COSTS; AND $17 MILLION IN FINES SETTLEMENTS AND RECOVERIES. DURING FY 2016, WE ISSUED 74 REPORTS; IDENTIFIED $774 MILLION IN QUESTIONED COSTS; AND $17 MILLION

  17. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,8.9,2.6,1.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  18. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,6.5,1.4,2.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  19. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,7.5,4.9,0.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  20. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,3.2,2.5,0.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  1. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,6.5,3.2,1.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  2. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,1,4.2,4.2,... weather station. 2. Below 150 percent of poverty line or 60 percent of median State ...

  3. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    More",14.2,3,2.2,0.8 "Income Relative to Poverty Line" "Below 100 Percent",16.6,3.5,2.6,0.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  4. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,9.1,1.5,1,... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  5. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,3.2,3.5,6.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  6. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    More",14.2,4,1.1,3 "Income Relative to Poverty Line" "Below 100 Percent",16.6,3.4,0.9,2.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  7. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,5.9,3.5,2,... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  8. " Million U.S. Housing Units"

    Energy Information Administration (EIA) (indexed site)

    "Income Relative to Poverty Line" "Below 100 Percent",16.6,3.1,1.6,2.... " 1. Below 150 percent of poverty line or 60 percent of median State ...

  9. Competition Helps Kids Learn About Energy and Save Their Households...

    Energy Saver

    Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm ...

  10. Determinants of Household Use of Selected Energy Star Appliances - Energy

    Gasoline and Diesel Fuel Update

    Information Administration Determinants of Household Use of Selected Energy Star Appliances Release date: May 25, 2016 Introduction According to the 2009 Residential Energy Consumption Survey (RECS), household appliances1accounted for 35% of U.S. household energy consumption, up from 24% in 1993. Thus, improvements in the energy performance of residential appliances as well as increases in the use of more efficient appliances can be effective in reducing household energy consumption and

  11. Low-Income Weatherization: The Human Dimension

    Energy.gov [DOE]

    This presentation focuses on how the human dimension saves energy within low-income weatherization programs.

  12. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 District of Columbia - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic

  13. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Hawaii - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S13. Summary statistics for natural gas - Hawaii, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  14. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Idaho - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  15. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    20 Maine - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  16. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Oregon - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells R 28 R 24 R 24 R 12 14 Production (million cubic feet) Gross

  17. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Tennessee - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 52 75 NA NA NA Gas Wells R 1,027 R 1,027 1,089 NA NA Production (million cubic

  18. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Virginia - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 2 1 1 2 2 Gas Wells R 7,781 R 7,874 7,956 R 8,061 8,111 Production (million

  19. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

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

  20. Household energy consumption and expenditures, 1987

    SciTech Connect

    Not Available

    1989-10-10

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

  1. DOT Awards University Transportation Centers $63 Million

    Energy.gov [DOE]

    The U.S. Department of Transportation's (DOT) announced approximately $63 million in grants to 33 University Transportation Centers to advance research and education programs that address critical transportation challenges.

  2. President Obama Announces $400 Million Conditional Commitment...

    Energy.gov [DOE] (indexed site)

    announced the offer of a conditional commitment for a loan guarantee of 400 million to Abound Solar Manufacturing, LLC to manufacture state-of-the-art thin-film solar panels. ...

  3. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    2 Appliances in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,"Total U.S.1 (millions)",,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes"

  4. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    8 Home Appliances in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" ,,"Total Northeast",,,"CT, ME, NH, RI, VT" "Home

  5. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    2 Televisions in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)"

  6. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    2 Water Heating in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,"Total U.S.1 (millions)",,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes"

  7. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    8 Televisions in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" ,,"Total Northeast",,,"CT, ME, NH, RI, VT"

  8. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    2 Computers and Other Electronics in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)"

  9. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    2 Air Conditioning in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" "Air

  10. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    8 Air Conditioning in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" ,,"Total Northeast",,,"CT, ME, NH, RI, VT" "Air

  11. Lab contractor awards LANL Foundation $3 million

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

    Contractor awards LANL Foundation $3 million Lab contractor awards LANL Foundation $3 million To provide educational enrichment and educational outreach funding for a wide variety of education programs in the seven Northern New Mexico counties. October 29, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma

  12. Indiana Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) Indiana Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 191 102 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Natural Gas Processed

  13. Left to Our Own Devices – Financing Efficiency for Small Business and Low-Income Families (2009 Environmental Defense Fund Report)

    Energy.gov [DOE]

    There is a widely known gap between cost-effective behavior, consumption patterns and actual marketplace conditions. This engineering gap/efficiency gap is particularly the case for low-income households and small businesses, which tend to depend on older, inefficient equipment. This study identifies the limitations of current and potential of relatively new mechanisms for efficiency investment micro-financing.

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

    Energy Information Administration (EIA) (indexed site)

    V 1997 Housing Characteristics Tables Space Heating Tables (Million U.S. Households; 24 pages, 83 kb) Contents Pages HC3-1a. Space Heating by Climate Zone, Million U.S. Households, 1997 2 HC3-2a. Space Heating by Year of Construction, Million U.S. Households, 1997 2 HC3-3a. Space Heating by Household Income, Million U.S. Households, 1997 2 HC3-4a. Space Heating by Type of Housing Unit, Million U.S. Households, 1997 2 HC3-5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S.

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

    SciTech Connect

    Guerin, D.A.

    1988-01-01

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

  16. DOE Awards $63 Million to Advance Clean Energy Commercialization

    Energy.gov [DOE]

    DOE announced on September 15 its award of more than $63 million to support the commercialization of clean energy technologies, including $57 million for small businesses and $5.3 million for universities.

  17. Tennessee Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) Tennessee Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 11 1990's 19 26 0 0 0 0 0 0 2010's 6,146 6,200 6,304 5,721 5,000 4,612 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Natural Gas Processed Tennessee Natural Gas Plant Processing

  18. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    Air Conditioning in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Air Conditioning" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Air Conditioning Equipment"

  19. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    1 Space Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" ,,"Total West","Total Mountain",,,"ID, MT, UT,

  20. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    0 Structural and Geographic Characteristics of Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" "Structural

  1. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    1 Structural and Geographic Characteristics of Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" "Structural and Geographic

  2. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    1 Appliances in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" ,,"Total West","Total Mountain",,,"ID, MT, UT,

  3. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    0 Televisions in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" ,,"Total South",,,,,"DC, DE, MD,

  4. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    1 Televisions in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" ,,"Total West","Total Mountain",,,"ID, MT, UT,

  5. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    0 Computers and Other Electronics in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" ,,"Total

  6. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    1 Computers and Other Electronics in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" ,,"Total West","Total

  7. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    0 Water Heating in U.S. Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" ,,"Total South",,,,,"DC,

  8. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    11 Water Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" ,,"Total West","Total Mountain",,,"ID, MT,

  9. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    0 Appliances in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" ,,"Total South",,,,,"DC, DE, MD,

  10. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    0 Air Conditioning in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" ,,"Total South",,,,,"DC, DE,

  11. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    6 Fuels Used and End Uses in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" ,,"Very Cold/","Mixed- Humid","Mixed-Dry/" "Fuels Used and End Uses",,"Cold",,"Hot-Dry","Hot-Humid","Marine" "Total Homes",113.6,38.8,35.4,14.1,19.1,6.3 "Fuels Used for Any Use"

  12. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    2 Structural and Geographic Characteristics of U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" "Structural and Geographic

  13. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    8 Structural and Geographic Characteristics of Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" "Structural and Geographic Characteristics",,"Total Northeast",,,"CT, ME, NH, RI, VT"

  14. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    9 Structural and Geographic Characteristics of Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Total Midwest",,,,," IN,

  15. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    Appliances in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,,,,,"5 or More Units","Mobile Homes" "Appliances",,"Detached","Attached","2 to 4 Units" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Cooking Appliances" "Stoves (Units With

  16. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    9 Appliances in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" ,,"Total Midwest",,,,," IN, OH",,,"IA, MN, ND, SD"

  17. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    6 Televisions in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" ,,"Very Cold/","Mixed- Humid","Mixed-Dry/" "Televisions",,"Cold",,"Hot-Dry","Hot-Humid","Marine" "Total Homes",113.6,38.8,35.4,14.1,19.1,6.3 "Televisions" "Number of Televisions" 0,1.5,0.6,0.4,0.2,0.2,0.2

  18. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    HC4.9 Televisions in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" ,,"Total Midwest",,,,," IN, OH",,,"IA, MN, ND, SD"

  19. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    8 Computers and Other Electronics in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" ,,"Total Northeast",,,"CT, ME, NH, RI, VT" "Computers and Other

  20. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    9 Computers and Other Electronics in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" ,,"Total Midwest",,,,," IN, OH",,,"IA, MN, ND, SD" "Computers and Other

  1. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    8 Space Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" ,,"Total Northeast",,,"CT, ME, NH, RI, VT" "Space

  2. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    9 Space Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" " ",,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" ,,"Total Midwest",,,,," IN, OH",,,"IA, MN, ND, SD" "Space

  3. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    Water Heating in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Water Heating" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Number of Storage Tank Water Heaters"

  4. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    8 Water Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" ,,"Total Northeast",,,"CT, ME, NH, RI, VT" "Water

  5. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    9 Water Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" ,,"Total Midwest",,,,,,,,"IA, MN, ND, SD" "Water

  6. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    3 Structural and Geographic Characteristics of U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Total

  7. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    6 Structural and Geographic Characteristics of U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Very Cold/","Mixed- Humid","Mixed-Dry/" ,,"Cold",,"Hot-Dry","Hot-Humid","Marine" "Total Homes",113.6,38.8,35.4,14.1,19.1,6.3 "Census Region and Division"

  8. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    7 Structural and Geographic Characteristics of U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Northeast","Midwest","South","West" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Urban and Rural2" "Urban",88.1,18,19.9,28.6,21.5 "Rural",25.5,2.8,6,13.4,3.3

  9. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    6 Appliances in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" ,,"Very Cold/","Mixed- Humid","Mixed-Dry/" "Appliances",,"Cold",,"Hot-Dry","Hot-Humid","Marine" "Total Homes",113.6,38.8,35.4,14.1,19.1,6.3 "Cooking Appliances" "Stoves (Units With Both" "an Oven and a Cooktop)"

  10. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    7 Appliances in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,"Total U.S.1 (millions)","Census Region" "Appliances",,"Northeast","Midwest","South","West" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Cooking Appliances" "Stoves (Units With Both" "an Oven and a Cooktop)" "Use a Stove",102.3,19.2,23.9,38.2,20.9

  11. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    Televisions in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Televisions" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Televisions" "Number of

  12. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    Computers and Other Electronics in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Computers and Other Electronics" "Total Homes",113.6,71.8,6.7,9,19.1,6.9

  13. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    3 Computers and Other Electronics in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Computers and Other Electronics" "Total

  14. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    9 Air Conditioning in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" ,,"Total Midwest",,,,," IN, OH",,,"IA, MN, ND, SD" "Air

  15. A Million Meter Milestone | Department of Energy

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

    A Million Meter Milestone A Million Meter Milestone March 4, 2011 - 2:36pm Addthis To see what installing the 1 millionth meter looked like, check out this video. Don Macdonald Don Macdonald Senior Advisor for Strategic Projects What does this mean for me? Smart meters allow consumers to take personal control and ownership of her energy usage in a way not possible before. As program manager for the Department of Energy's Recovery Act funded Smart Grid Investment Grant (SGIG) program, I've had

  16. Million Solar Strong | Department of Energy

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

    Million Solar Strong Million Solar Strong Addthis 1 of 7 SunShot funding helped 2,700 Hawaiian homes and businesses go solar. Using advanced inverters and systems integration research, the company was able to clear a massive backlog of projects that were installed but weren't yet connected to the grid. Thanks to SunShot, thousands of projects flipped the switch, while maintaining the safety and reliability of the electric grid. 2 of 7 This 2-megawatt solar array at the CoServ Solar Station in

  17. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Alabama - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 346 367 402 436 414 Gas Wells R 6,243 R 6,203 R 6,174 R 6,117 6,044 Production

  18. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    2 Alaska - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 2,040 1,981 2,006 2,042 2,096 Gas Wells R 274 R 281 R 300 R 338 329 Production

  19. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Colorado - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 5,963 6,456 6,799 7,771 7,733 Gas Wells R 43,792 R 46,141 R 46,883 R 46,876

  20. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Mississippi - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 561 618 581 540 501 Gas Wells R 1,703 R 1,666 R 1,632 R 1,594 1,560

  1. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Montana - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S28. Summary statistics for natural gas - Montana, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 1,956 2,147 2,268 2,377 2,277 Gas Wells R 6,615 R 6,366 R 5,870 R 5,682 5,655

  2. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 New Mexico - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 12,887 13,791 14,171 14,814 14,580 Gas Wells R 40,231 R 40,441 R 40,119 R

  3. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 New York - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 988 1,170 1,589 1,731 1,697 Gas Wells R 7,372 R 7,731 R 7,553 R 7,619 7,605

  4. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 North Dakota - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 5,561 7,379 9,363 11,532 12,799 Gas Wells R 526 R 451 R 423 R 398 462

  5. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    2 Ohio - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 6,775 6,745 7,038 7,257 5,941 Gas Wells R 31,966 R 31,647 R 30,804 R 31,060 26,599

  6. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Oklahoma - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 6,723 7,360 8,744 7,105 8,368 Gas Wells R 51,712 R 51,472 R 50,606 R 50,044

  7. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    8 Pennsylvania - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S40. Summary statistics for natural gas - Pennsylvania, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 7,046 7,627 7,164 8,481 7,557 Gas Wells R 61,815 R 62,922 R 61,838 R

  8. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    8 Texas - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 85,030 94,203 96,949 104,205 105,159 Gas Wells R 139,368 R 140,087 R 140,964 R 142,292

  9. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Utah - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 3,119 3,520 3,946 4,249 3,966 Gas Wells R 7,603 R 8,121 R 8,300 R 8,537 8,739 Production

  10. Mississippi Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 218,840 126,859 6,865 4,527 5,633 5,770 1967-2015 Total Liquids Extracted (Thousand Barrels) 12,618 7,732 377 359 365 257 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 18,405 11,221 486 466 495 348 1967

    2010 2011 2012 2013 2014 2015 View History Wellhead Price 4.17 1967-2010 Imports Price -- 12.93 -- -- -- -- 2007-2015 Pipeline and Distribution Use Price 1967-2005 Citygate Price 5.73

  11. Secretary Chu Announces $47 Million to Improve Efficiency in...

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

    7 Million to Improve Efficiency in Information Technology and Communications Sectors Secretary Chu Announces 47 Million to Improve Efficiency in Information Technology and ...

  12. Arizona - Natural Gas 2015 Million Cu. Feet Percent...

    Gasoline and Diesel Fuel Update

    4 Arizona - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: ...

  13. Florida Natural Gas Total Consumption (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Total Consumption (Million Cubic Feet) Florida Natural Gas Total Consumption (Million ... Referring Pages: Natural Gas Consumption Florida Natural Gas Consumption by End Use Total ...

  14. Florida Natural Gas Lease Fuel Consumption (Million Cubic Feet...

    Annual Energy Outlook

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  15. Energy Secretary Bodman Announces $119 Million in Funding and...

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

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  16. West Virginia Natural Gas Repressuring (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Repressuring (Million Cubic Feet) West Virginia Natural Gas Repressuring (Million Cubic ... Referring Pages: Natural Gas Used for Repressuring West Virginia Natural Gas Gross ...

  17. West Virginia Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) West Virginia Natural Gas Processed (Million Cubic Feet) ... Referring Pages: Natural Gas Processed West Virginia Natural Gas Plant Processing Natural ...

  18. Virginia Natural Gas Lease Fuel Consumption (Million Cubic Feet...

    Energy Information Administration (EIA) (indexed site)

    Fuel Consumption (Million Cubic Feet) Virginia Natural Gas Lease Fuel Consumption (Million ... Referring Pages: Natural Gas Lease Fuel Consumption Virginia Natural Gas Consumption by ...

  19. Virginia Natural Gas Vented and Flared (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Vented and Flared (Million Cubic Feet) Virginia Natural Gas Vented and Flared (Million ... Referring Pages: Natural Gas Vented and Flared Virginia Natural Gas Gross Withdrawals and ...

  20. Virginia Natural Gas Total Consumption (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Total Consumption (Million Cubic Feet) Virginia Natural Gas Total Consumption (Million ... Referring Pages: Natural Gas Consumption Virginia Natural Gas Consumption by End Use ...

  1. Energy Department Offers $50 Million to Advance Fuel Efficient...

    Energy.gov [DOE] (indexed site)

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  2. Energy Department Invests Over $7 Million to Commercialize Cost...

    Energy Saver

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  3. DOE Announces $30 Million Investment in Hydrogen and Fuel Cells...

    Office of Environmental Management (EM)

    DOE Announces 30 Million Investment in Hydrogen and Fuel Cells as Industry Continues Unprecedented Growth Rates DOE Announces 30 Million Investment in Hydrogen and Fuel Cells as ...

  4. Department of Energy Announces $64 Million in Hydrogen Research...

    Energy Saver

    4 Million in Hydrogen Research & Development Projects Department of Energy Announces 64 Million in Hydrogen Research & Development Projects May 25, 2005 - 12:55pm Addthis ...

  5. Energy Department Invests $20 Million to Advance Hydrogen Production...

    Energy Saver

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  6. Energy Department Awards More Than $7 Million for Innovative...

    Office of Environmental Management (EM)

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  7. Nevada Natural Gas Lease Fuel Consumption (Million Cubic Feet...

    Annual Energy Outlook

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  8. Nevada Natural Gas Total Consumption (Million Cubic Feet)

    Annual Energy Outlook

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  9. Nevada Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

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  10. Washington Natural Gas Exports (No Intransit Deliveries) (Million...

    Energy Information Administration (EIA) (indexed site)

    Exports (No Intransit Deliveries) (Million Cubic Feet) Washington Natural Gas Exports (No Intransit Deliveries) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

  11. $3 million approved for 2015 LANS Community Commitment Plan

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

    LANS Community Commitment Plan will provide 1 million for education, including science, technology, engineering and math (STEM) education programs 1 million for economic...

  12. Texas Onshore Natural Gas Processed in Kansas (Million Cubic...

    Annual Energy Outlook

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  13. Texas Onshore Natural Gas Processed in Oklahoma (Million Cubic...

    Gasoline and Diesel Fuel Update

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  14. Texas Onshore Natural Gas Processed in New Mexico (Million Cubic...

    Annual Energy Outlook

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  15. Utah Natural Gas Plant Liquids Production (Million Cubic Feet...

    Energy Information Administration (EIA) (indexed site)

    Liquids Production (Million Cubic Feet) Utah Natural Gas Plant Liquids Production (Million ... NGPL Production, Gaseous Equivalent Utah Natural Gas Plant Processing NGPL Production, ...

  16. Kentucky Natural Gas Plant Fuel Consumption (Million Cubic Feet...

    Energy Information Administration (EIA) (indexed site)

    Fuel Consumption (Million Cubic Feet) Kentucky Natural Gas Plant Fuel Consumption (Million ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Natural Gas Plant ...

  17. Utah Natural Gas Plant Fuel Consumption (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Fuel Consumption (Million Cubic Feet) Utah Natural Gas Plant Fuel Consumption (Million ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Natural Gas Plant ...

  18. Wyoming Natural Gas Plant Fuel Consumption (Million Cubic Feet...

    Annual Energy Outlook

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  19. Kansas Natural Gas Plant Fuel Consumption (Million Cubic Feet...

    Energy Information Administration (EIA) (indexed site)

    Fuel Consumption (Million Cubic Feet) Kansas Natural Gas Plant Fuel Consumption (Million ... Release Date: 06302016 Next Release Date: 07292016 Referring Pages: Natural Gas Plant ...

  20. Energy Department Invests Over $7 Million to Commercialize Cost...

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

    Department Invests Over 7 Million to Commercialize Cost-Effective Hydrogen and Fuel Cell Technologies Energy Department Invests Over 7 Million to Commercialize Cost-Effective ...

  1. Energy Department Announces $4 Million for Projects Launching...

    Office of Environmental Management (EM)

    Million for Projects Launching the Orange Button Solar Energy Data Initiative Energy Department Announces 4 Million for Projects Launching the Orange Button Solar Energy Data ...

  2. Energy Department Announces $21 Million to Lower Solar Energy...

    Office of Environmental Management (EM)

    21 Million to Lower Solar Energy Deployment Barriers Energy Department Announces 21 Million to Lower Solar Energy Deployment Barriers February 8, 2016 - 8:30am Addthis Energy ...

  3. DOE Announces Nearly $170 Million in Available Funding to Advance...

    Energy Saver

    70 Million in Available Funding to Advance Solar Energy Technologies DOE Announces Nearly 170 Million in Available Funding to Advance Solar Energy Technologies April 8, 2011 - ...

  4. Energy Department Finalizes $737 Million Loan Guarantee to Tonopah...

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

    737 Million Loan Guarantee to Tonopah Solar Energy for Nevada Project Energy Department Finalizes 737 Million Loan Guarantee to Tonopah Solar Energy for Nevada Project September ...

  5. President Obama Announces Over $467 Million in Recovery Act Funding...

    Energy Saver

    Over 467 Million in Recovery Act Funding for Geothermal and Solar Energy Projects President Obama Announces Over 467 Million in Recovery Act Funding for Geothermal and Solar ...

  6. President Obama Announces Over $467 Million in Recovery Act Funding...

    Office of Environmental Management (EM)

    President Obama Announces Over 467 Million in Recovery Act Funding for Geothermal and Solar Energy Projects President Obama Announces Over 467 Million in Recovery Act Funding for ...

  7. Energy Department Announces $32 Million to Boost Solar Workforce...

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

    32 Million to Boost Solar Workforce Training, Drive Solar Energy Innovation Energy Department Announces 32 Million to Boost Solar Workforce Training, Drive Solar Energy Innovation ...

  8. Department of Energy Announces $15 Million to Promote Innovative...

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

    15 Million to Promote Innovative Geothermal Heat Recovery Methods and Technologies Department of Energy Announces 15 Million to Promote Innovative Geothermal Heat Recovery...

  9. Energy Department Awards $5 Million to Spur Local Clean Energy...

    Energy Saver

    5 Million to Spur Local Clean Energy Development, Energy Savings Energy Department Awards 5 Million to Spur Local Clean Energy Development, Energy Savings October 14, 2014 - ...

  10. Energy Department Announces $18 Million for Innovative Projects...

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

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  11. Secretary Chu Announces $93 Million from Recovery Act to Support...

    Energy Saver

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  12. Obama Administration Announces More Than $327 Million in Recovery...

    Office of Environmental Management (EM)

    laboratories and universities for fusion energy research; Expanded funding for ... Joint Genome Institute; 11 million for fusion energy research; 8.8 million for ...

  13. Energy Department Awards $6 Million to Universities in Tennessee...

    Energy Saver

    to receive 2.9 million and Virginia Polytechnic Institute and State University (Virginia Tech) to receive 3 million to create masters or doctoral training programs that will ...

  14. Energy Department Invests More Than $55 Million to Advance Efficient...

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

    Technologies Energy Department Offers 50 Million to Advance Fuel Efficient Autos Secretary Moniz Announces Nearly 50 Million to Advance High-Tech, Fuel Efficient American Autos

  15. Energy Department Invests $20 Million to Advance Hydrogen Production...

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

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  16. Energy Department to Award $6 Million to State Partnerships to...

    Energy Saver

    to Award 6 Million to State Partnerships to Increase Energy Efficiency Energy Department to Award 6 Million to State Partnerships to Increase Energy Efficiency September 19, 2006 ...

  17. DOE Awards $15 Million in Technical Assistance to Support Major...

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

    15 Million in Technical Assistance to Support Major Retailers, Financial Institutions and Real Estate Firms to Adopt Energy-Efficient Technologies DOE Awards 15 Million in ...

  18. Wyoming Natural Gas Underground Storage Net Withdrawals (Million...

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

    Underground Storage Net Withdrawals (Million Cubic Feet) Wyoming Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct...

  19. Arkansas Natural Gas Underground Storage Net Withdrawals (Million...

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

    Underground Storage Net Withdrawals (Million Cubic Feet) Arkansas Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct...

  20. Oregon Natural Gas Underground Storage Net Withdrawals (Million...

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

    Underground Storage Net Withdrawals (Million Cubic Feet) Oregon Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct...

  1. Illinois Natural Gas Underground Storage Net Withdrawals (Million...

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

    Underground Storage Net Withdrawals (Million Cubic Feet) Illinois Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct...

  2. Alaska Natural Gas Underground Storage Net Withdrawals (Million...

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

    Underground Storage Net Withdrawals (Million Cubic Feet) Alaska Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct...

  3. $23.5 Million Investment in Innovative Manufacturing Projects...

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

    23.5 Million Investment in Innovative Manufacturing Projects Supports the New Clean Energy Manufacturing Initiative 23.5 Million Investment in Innovative Manufacturing Projects ...

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

    50 Million of Recovery Act Funding to Accelerate Deployment of Geothermal Heat Pumps Secretary Chu Announces Nearly 50 Million of Recovery Act Funding to Accelerate Deployment of ...

  5. Secretary Chu Announces $45 Million to Support Next Generation...

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

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  6. Utah Natural Gas Pipeline and Distribution Use (Million Cubic...

    Gasoline and Diesel Fuel Update

    (Million Cubic Feet) Utah Natural Gas Pipeline and Distribution Use (Million Cubic Feet) ... 10312016 Referring Pages: Natural Gas Pipeline & Distribution Use Utah Natural Gas ...

  7. Department of Energy Announces $39 Million to Strengthen University...

    Energy Saver

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  8. Energy Department Invests $82 Million to Advanced Nuclear Technology...

    Energy Saver

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  9. Department of Energy and Beacon Power Finalize $43 Million Loan...

    Energy Saver

    Beacon Power Finalize 43 Million Loan Guarantee for Innovative Energy Storage Project in New York State Department of Energy and Beacon Power Finalize 43 Million Loan Guarantee ...

  10. Energy Department Awards $7 Million to Advance Hydrogen Storage...

    Office of Environmental Management (EM)

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  11. Secretary Chu Announces $30 Million for Research Competition...

    Office of Environmental Management (EM)

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  12. Energy Department Announces $18 Million to Develop Solar Energy...

    Energy Saver

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

    5 Million to Help Communities Boost Solar Deployment Energy Department Announces 15 Million to ... - creating more jobs, reducing carbon pollution and boosting economic growth." ...

  14. Oklahoma Natural Gas Vented and Flared (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Vented and Flared (Million Cubic Feet) Oklahoma Natural Gas Vented and Flared (Million ... Referring Pages: Natural Gas Vented and Flared Oklahoma Natural Gas Gross Withdrawals and ...

  15. Oklahoma Natural Gas Processed in Kansas (Million Cubic Feet...

    Gasoline and Diesel Fuel Update

    Kansas (Million Cubic Feet) Oklahoma Natural Gas Processed in Kansas (Million Cubic Feet) ...2016 Next Release Date: 04292016 Referring Pages: Natural Gas Processed Oklahoma-Kansas

  16. Oklahoma Natural Gas Processed in Texas (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

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  17. Kansas Natural Gas Total Consumption (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Total Consumption (Million Cubic Feet) Kansas Natural Gas Total Consumption (Million Cubic ... Referring Pages: Natural Gas Consumption Kansas Natural Gas Consumption by End Use Natural ...

  18. DOE Announces Over $30 Million to Help Universities Train the...

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

    DOE Announces Over 30 Million to Help Universities Train the Next Generation of Industrial Energy Efficiency Experts DOE Announces Over 30 Million to Help Universities Train the...

  19. Energy Department Announces $70 Million for Innovation Institute...

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

    70 Million for Innovation Institute on Smart Manufacturing Energy Department Announces 70 Million for Innovation Institute on Smart Manufacturing September 16, 2015 - 8:36am ...

  20. Small Business Innovation Research Announces $1.15 Million to...

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

    Small Business Innovation Research Announces 1.15 Million to Expand Under-Utilized Geothermal Markets Small Business Innovation Research Announces 1.15 Million to Expand ...

  1. Energy Department Awards Nearly $7 Million for Research to Reduce...

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

    7 Million for Research to Reduce Costs of Electric Vehicle Chargers Energy Department Awards Nearly 7 Million for Research to Reduce Costs of Electric Vehicle Chargers December ...

  2. ARPA-E Announces $43 Million for Transformational Energy Storage...

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

    43 Million for Transformational Energy Storage Projects to Advance Electric Vehicle and Grid Technologies ARPA-E Announces 43 Million for Transformational Energy Storage Projects ...

  3. DOE Delivers More than $354 Million for Energy Efficiency and...

    Energy Saver

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    Annual Energy Outlook

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  5. New Jersey Natural Gas Total Consumption (Million Cubic Feet...

    Gasoline and Diesel Fuel Update

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  6. New York Natural Gas Total Consumption (Million Cubic Feet)

    Annual Energy Outlook

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  7. New Facility Saves $20 Million, Accelerates Waste Processing...

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

    Facility Saves 20 Million, Accelerates Waste Processing New Facility Saves 20 Million, Accelerates Waste Processing August 15, 2012 - 12:00pm Addthis The new Cask Processing ...

  8. New Mexico Natural Gas Total Consumption (Million Cubic Feet...

    Gasoline and Diesel Fuel Update

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  9. New Mexico Natural Gas Processed (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    (Million Cubic Feet) New Mexico Natural Gas Processed (Million Cubic Feet) Decade Year-0 ... Referring Pages: Natural Gas Processed New Mexico Natural Gas Plant Processing Natural ...

  10. New Mexico Natural Gas Processed in Texas (Million Cubic Feet...

    Gasoline and Diesel Fuel Update

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  11. Two small businesses selected for work valued at $80 million

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

    Businesses compete for drilling, monitoring work Two small businesses selected for work valued at 80 million Two small businesses compete for up to 80 million in well drilling ...

  12. North Dakota Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) North Dakota Natural Gas Processed (Million Cubic Feet) ... Referring Pages: Natural Gas Processed North Dakota Natural Gas Plant Processing Natural ...

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    Energy Information Administration (EIA) (indexed site)

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  14. Energy Department, Treasury Announce Availability of $150 Million...

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

    Department, Treasury Announce Availability of 150 Million in Tax Credits for Clean Energy Manufacturers Energy Department, Treasury Announce Availability of 150 Million in Tax...

  15. Energy Department Announces $12 Million for Technologies to Produce...

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

    Announces 12 Million for Technologies to Produce Renewable Carbon Fiber from Biomass Energy Department Announces 12 Million for Technologies to Produce Renewable Carbon Fiber ...

  16. DOE Hydrogen Program Saved Nearly 30 Million by Investing in...

    Office of Environmental Management (EM)

    DOE Hydrogen Program Saved Nearly 30 Million by Investing in Annual In-Progress Peer ... and Renewable Energy, outllines how "DOE Hydrogen Program Saved Nearly 30 Million by ...

  17. Alaska Crude Oil + Lease Condensate Proved Reserves (Million...

    Energy Information Administration (EIA) (indexed site)

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  18. Mississippi Crude Oil + Lease Condensate Proved Reserves (Million...

    Energy Information Administration (EIA) (indexed site)

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Mississippi Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 ...

  19. Nebraska Crude Oil + Lease Condensate Proved Reserves (Million...

    Energy Information Administration (EIA) (indexed site)

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Nebraska Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 ...

  20. Louisiana Crude Oil + Lease Condensate Proved Reserves (Million...

    Energy Information Administration (EIA) (indexed site)

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Louisiana Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 ...

  1. Alabama Crude Oil + Lease Condensate Proved Reserves (Million...

    Energy Information Administration (EIA) (indexed site)

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Alabama Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 ...

  2. Indiana Crude Oil + Lease Condensate Proved Reserves (Million...

    Energy Information Administration (EIA) (indexed site)

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Indiana Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 ...

  3. The Department of Energy's $700 Million Smart Grid Demonstration...

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

    700 Million Smart Grid Demonstration Program Funded through the American Recovery and ... of Energy's 700 Million Smart Grid Demonstration Program Funded through the American ...

  4. Obama-Biden Administration Announces More Than $49 Million in...

    Office of Environmental Management (EM)

    9 Million in Weatherization Funding and Energy Efficiency Grants for New Hampshire Obama-Biden Administration Announces More Than 49 Million in Weatherization Funding and Energy ...

  5. Minnesota Natural Gas Total Consumption (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Total Consumption (Million Cubic Feet) Minnesota Natural Gas Total Consumption (Million ... Referring Pages: Natural Gas Consumption Minnesota Natural Gas Consumption by End Use ...

  6. Energy Department Finalizes $337 Million Loan Guarantee to Mesquite...

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

    Finalizes 337 Million Loan Guarantee to Mesquite Solar 1 for Innovative Solar Power Plant Energy Department Finalizes 337 Million Loan Guarantee to Mesquite Solar 1 for...

  7. Messaging Strategies for Low-Income Participants | Department...

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

    Messaging Strategies for Low-Income Participants Messaging Strategies for Low-Income Participants Better Buildings Neighborhood Program, BetterBuildings Low-Income Peer Exchange ...

  8. Appliance Commitment for Household Load Scheduling

    SciTech Connect

    Du, Pengwei; Lu, Ning

    2011-06-30

    This paper presents a novel appliance commitment algorithm that schedules thermostatically-controlled household loads based on price and consumption forecasts considering users comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem was described in the paper using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load was modeled by physical models; random hot water consumption was modeled with statistical methods. The models were used to predict the appliance operation over the scheduling time horizon. User comfort was transformed to a set of linear constraints. Then, a novel linear, sequential, optimization process was used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.

  9. Household energy consumption and expenditures 1987

    SciTech Connect

    Not Available

    1990-01-22

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

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

    SciTech Connect

    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)

  11. Team Surpasses 1 Million Hours Safety Milestone

    Energy.gov [DOE]

    NISKAYUNA, N.Y. – Vigilance and dedication to safety led the EM program’s disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours — over two-and-a-half-years — without injury or illness resulting in time away from work.

  12. Million Cu. Feet Percent of National Total

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

    Production (million cubic feet) Gross Withdrawals From Gas Wells 0 17,182 16,459 R 43 69 From Oil Wells 17,129 1,500 1,551 R 3,135 5,720 From Coalbed Wells 0 0 0 0 0 From Shale Gas ...

  13. WPN 05-4a- 2005 Poverty Income Guidelines and Definition of Income to Exclude Combat Zone Pay

    Energy.gov [DOE]

    To provide states with the 2005 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program.

  14. 1997 Housing Characteristics Tables Housing Unit Tables

    Energy Information Administration (EIA) (indexed site)

    Million U.S. Households; 45 pages, 128 kb) Contents Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 1997 4 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 1997 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 1997 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 1997 3 HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit,

  15. how-to-speed-up-traffic

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

    Housing Unit Tables (Million U.S. Households; 49 pages, 210 kb) Contents 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. Households, 2001 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 2001 4 HC1-5a. Housing Unit Characteristics by Type of

  16. Energy Department Invests $14 Million to Increase Energy Efficiency...

    Energy Saver

    ... Fraunhofer USA, Inc. (Boston) will develop a software tool that automatically and remotely analyzes smart thermostat and interval meter data to identify household-specific retrofit ...

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

    SciTech Connect

    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.

  18. Buildings Energy Data Book: 2.9 Low-Income Housing

    Buildings Energy Data Book

    3 Households Weatherized and Weatherization Eligibility by Year (Million) (1) Federally Federally Below 125% Below 150% Total DOE Eligible (2) Ineligible Poverty Line Poverty Line Households 1977 0.025 - - - - 74.8 1980 0.181 - - - - 79.6 1985 0.125 - - - - 87.9 1987 0.100 - - - - 90.5 1990 0.085 27.9 66.1 18.2 - 94.2 1991 0.105 - - - - 95.3 1992 0.105 - - - - 96.4 1993 0.090 30.7 65.9 19.4 - 97.7 1994 0.101 - - - - 98.7 1995 0.103 - - - - 100.0 1996 0.060 - - - - 101.0 1997 0.067 34.1 67.4 19.7

  19. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    7 Water Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Water Heating" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Number of Storage Tank Water Heaters" 0,2.9,1.3,0.4,0.7,0.5 1,108.1,19.3,25,40.2,23.6 "2 or More",2.7,0.2,0.5,1.2,0.7 "Number of Tankless Water

  20. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    3 Fuels Used and End Uses in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Fuels Used and End Uses" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6

  1. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    7 Fuels Used and End Uses in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Fuels Used and End Uses" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Fuels Used for Any Use" "Electricity",113.6,20.8,25.9,42.1,24.8 "Natural Gas",69.2,13.8,19.4,17.7,18.3

  2. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    3 Televisions in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Televisions" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Televisions"

  3. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    3 Water Heating in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Water Heating" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Number of Storage

  4. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    Fuels Used and End Uses in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Fuels Used and End Uses" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Fuels Used for Any

  5. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    3 Appliances in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Appliances" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Cooking Appliances"

  6. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    7 Televisions in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Televisions" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Televisions" "Number of Televisions" 0,1.5,0.4,0.3,0.5,0.4 1,24.2,4.6,5.4,8.1,6.1 2,37.5,7,8,13.8,8.5 3,26.6,4.5,6.1,10.5,5.3 4,14.2,2.2,3.4,5.7,2.9 "5 or

  7. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    7 Computers and Other Electronics in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Computers and Other Electronics" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Computers" "Number of Computers" 0,27.4,4.7,6.7,11.1,4.8 1,46.9,8.7,10.6,17.2,10.3 2,24.3,4.3,5.5,8.7,5.8

  8. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    3 Space Heating in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Space Heating" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Space Heating

  9. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    3 Air Conditioning in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Air Conditioning" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Air

  10. " Million Housing Units, Final"

    Energy Information Administration (EIA) (indexed site)

    6 Water Heating in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" ,,"Very Cold/","Mixed- Humid","Mixed-Dry/" "Water Heating",,"Cold",,"Hot-Dry","Hot-Humid","Marine" "Total Homes",113.6,38.8,35.4,14.1,19.1,6.3 "Number of Storage Tank Water Heaters" 0,2.9,1.3,0.8,0.4,0.4,0.1

  11. Consumers face $5. 9 million rate increase

    SciTech Connect

    Not Available

    1984-11-01

    Testimony at hearings before the Garrison Diversion Compromise Commission claimed that rural consumers in the Upper Midwest could face $5.9 million in electric rate increases if the commission deauthorizes the project and hydroelectric rates go up to pay the costs of the 1944 Pick-Sloan project originally assigned to irrigation. If there is no irrigation development, the revenue that irrigation must raise to repay the $67 million debt assigned to irrigation must be reassigned to hydroelectric power. The commission represents a compromise between supporters and opponents of the Garrison Diversion project. Spokesmen for regional utilities spoke in support of the project as an investment whose costs have escalated because of delays at the expense of economic development in North Dakota.

  12. Nebraska Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) Nebraska Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 13,130 9,437 6,415 1970's 3,697 2,848 2,890 33,369 34,243 34,463 35,351 32,226 29,828 1980's 1,648 1,281 1,154 1,256 1,097 707 987 690 381 1990's 31 136 65 586 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  13. Ohio Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) Ohio Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 207 670 1,713 2,263 2,591 2,555 3,036 2,812 2,608 1990's 3,081 2,615 2,730 2,989 2,930 2,257 2,477 2,553 2,895 2,933 2000's 3,285 4,336 4,098 3,609 3,883 2,657 2,397 1,456 2010's 2,211 33,031 344,073 745,715 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  14. California Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) California Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 505,063 476,596 455,692 1970's 444,700 431,605 386,664 359,841 252,402 213,079 216,667 206,981 204,693 1980's 169,812 261,725 263,475 276,209 281,389 263,823 276,969 270,191 254,286 1990's 263,667 246,335 243,692 246,283 228,346 226,548 240,566 243,054 235,558 259,518 2000's 260,049 258,271 249,671 238,743 236,465 226,230 223,580

  15. Colorado Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Colorado Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 112,440 96,397 85,171 1970's 82,736 97,420 104,116 110,662 118,686 136,090 175,624 171,233 167,959 1980's 201,637 220,108 173,894 181,150 191,625 163,614 180,290 178,048 196,682 1990's 208,069 234,851 256,019 307,250 353,855 345,441 493,963 374,728 425,083 444,978 2000's 494,581 497,385 534,295 555,544 703,804 730,948 751,036 888,705

  16. Utah Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Utah Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 1980's 68,211 95,670 93,934 98,598 99,233 241,904 274,470 286,592 286,929 1990's 334,067 333,591 319,017 348,010 368,585 308,174 265,546 249,930 242,070 211,514 2000's 169,553 166,505 136,843 161,275 193,093 187,524 193,836 195,701 202,380 412,639 2010's 454,832 490,233 535,365 448,687 419,773 386,823 - = No Data

  17. Wyoming Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Wyoming Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 261,478 259,227 269,921 1970's 276,926 292,434 298,439 303,519 263,684 215,104 251,846 262,801 255,760 1980's 366,530 393,027 432,313 579,479 624,619 506,241 512,579 560,603 591,472 1990's 635,922 681,266 728,113 750,853 821,689 895,129 845,253 863,052 870,518 902,889 2000's 993,702 988,595 1,083,860 1,101,425 1,249,309 1,278,087 1,288,124

  18. Michigan Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 22,405 21,518 21,243 21,416 18,654 16,288 1967-2015 Total Liquids Extracted (Thousand Barrels) 2,207 2,132 2,046 2,005 1,593 1,565 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 2,943 2,465 2,480 2,345 1,922 1,793 1967

    2010 2011 2012 2013 2014 2015 View History Wellhead Price 3.79 1967-2010 Imports Price 4.73 4.38 2.88 4.02 8.34 2.87 1989-2015 Exports Price 4.85 4.44 3.12 4.07 6.26 3.19

  19. Montana Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 12,391 11,185 12,727 14,575 14,751 15,146 1967-2015 Total Liquids Extracted (Thousand Barrels) 989 927 1,115 1,235 1,254 1,311 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 1,367 1,252 1,491 1,645 1,670 1,730 1967

    2010 2011 2012 2013 2014 2015 View History Wellhead Price 3.64 1967-2010 Imports Price 4.13 3.75 2.45 3.23 4.39 2.40 1989-2015 Exports Price 4.05 3.82 2.40 3.43 5.38 12.54

  20. Oklahoma Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 1,110,236 1,218,855 1,310,331 1,377,119 1,696,107 1,717,757 1967-2015 Total Liquids Extracted (Thousand Barrels) 83,174 91,963 96,237 98,976 117,057 118,229 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 120,631 134,032 139,928 142,595 169,864 163,365 1967

    2010 2011 2012 2013 2014 2015 View History Wellhead Price 4.71 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price

  1. Utah Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 454,832 490,233 535,365 448,687 419,773 386,823 1967-2015 Total Liquids Extracted (Thousand Barrels) 7,648 10,805 11,441 11,279 13,343 11,165 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 9,978 14,910 15,637 15,409 18,652 15,298 1967

    2010 2011 2012 2013 2014 2015 View History Wellhead Price 4.23 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 5.53 5.68 5.50 5.70

  2. Wyoming Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 1,642,190 1,634,364 1,614,320 1,517,876 1,526,746 1,352,224 1967-2015 Total Liquids Extracted (Thousand Barrels) 63,857 66,839 70,737 52,999 54,933 35,418 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 92,777 97,588 102,549 74,409 76,943 48,552 1967

    2010 2011 2012 2013 2014 2015 View History Wellhead Price 4.30 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 5.04

  3. Illinois Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Natural Gas Processed (Million Cubic Feet) Illinois Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 483,902 483,336 478,291 1970's 429,691 341,750 376,310 358,142 342,046 322,393 305,441 275,060 327,451 1980's 150,214 152,645 166,568 156,791 153,419 146,463 106,547 757 509 1990's 607 951 942 809 685 727 578 500 468 358 2000's 271 233 299 306 328 280 242 235 233 164 2010's 5,393 294 320 - = No Data Reported; -- = Not

  4. Colorado Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 1,434,003 1,507,467 1,464,261 1,373,046 1,495,360 1,663,095 1967-2015 Total Liquids Extracted (Thousand Barrels) 57,924 63,075 57,379 51,978 60,850 73,980 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 82,637 90,801 82,042 87,513 85,198 104,633 1967

    2010 2011 2012 2013 2014 2015 View History Wellhead Price 3.96 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 5.26

  5. Florida Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 2,915 5,526 1967-2015 Total Liquids Extracted (Thousand Barrels) 173 173 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 0 0 0 0 233 235 1968

    2010 2011 2012 2013 2014 2015 View History Wellhead Price NA 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 5.49 5.07 3.93 4.44 5.05 4.75 1984-2015 Residential Price 17.89 18.16 18.34 18.46 19.02 19.55 1967-2015 Percentage of

  6. Kansas Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    2010 2011 2012 2013 2014 2015 View History Natural Gas Processed (Million Cubic Feet) 341,778 322,944 259,565 190,503 191,034 163,788 1967-2015 Total Liquids Extracted (Thousand Barrels) 18,424 18,098 14,844 10,900 11,611 10,347 1983-2015 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 26,251 25,804 21,220 15,446 16,515 15,056 1967

    2010 2011 2012 2013 2014 2015 View History Wellhead Price 4.23 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.08 5.53 4.74 4.98

  7. Emulating a million machines to investigate botnets.

    SciTech Connect

    Rudish, Donald W.

    2010-06-01

    Researchers at Sandia National Laboratories in Livermore, California are creating what is in effect a vast digital petridish able to hold one million operating systems at once in an effort to study the behavior of rogue programs known as botnets. Botnets are used extensively by malicious computer hackers to steal computing power fron Internet-connected computers. The hackers harness the stolen resources into a scattered but powerful computer that can be used to send spam, execute phishing, scams or steal digital information. These remote-controlled 'distributed computers' are difficult to observe and track. Botnets may take over parts of tens of thousands or in some cases even millions of computers, making them among the world's most powerful computers for some applications.

  8. One million curies of radioactive material recovered

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

    Radioactive material recovered One million curies of radioactive material recovered The accomplishment represents a major milestone in protecting our nation and the world from material that could be used in "dirty bombs" by terrorists. December 22, 2014 Rick Day of Los Alamos National Laboratory's International Threat Reduction group and the Off-Site Source Recovery Project (OSRP) holds a non-radioactive training mockup of what a typical cobalt-60 source might look like. The source is

  9. Employees pledge record $2.8 million

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

    2012 Employee Giving Campaign sets record Employees pledge record $2.8 million during 2012 employee giving campaign Laboratory employee contributions will fund a wide range of programs offered by eligible nonprofit organizations. December 13, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new

  10. Energy Department Announces $21 Million to Lower Solar Energy Deployment

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

    Barriers | Department of Energy 1 Million to Lower Solar Energy Deployment Barriers Energy Department Announces $21 Million to Lower Solar Energy Deployment Barriers February 8, 2016 - 8:30am Addthis Energy Department Announces $21 Million to Lower Solar Energy Deployment Barriers The U.S. Department of Energy today announced $21 million in new funding to lower solar energy deployment barriers and expand access to solar energy to all Americans. The Department is making $13 million available

  11. IG Investigation with DOJ Results in over $10million Settlement |

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

    Department of Energy IG Investigation with DOJ Results in over $10million Settlement IG Investigation with DOJ Results in over $10million Settlement IG Investigation with DOJ Results in Over $10million Settlement (106.63 KB) More Documents & Publications Savannah River Site Contractor Agrees to Pay $3.8 Million to Settle False Claims Act Allegations Semiannual Report to Congress: October 1, 2015 - March 31, 2016 Lockheed Martin Agrees to Pay $5 Million to Settle False Claims Act

  12. Upgrade energy building standards and develop rating system for existing low-income housing

    SciTech Connect

    Muller, D.; Norville, C.

    1993-07-01

    The city of Memphis Division of Housing and Community Development (HCD) receives grant funding each year from the U.S. Department of Housing and Urban Development (HUD) to provide local housing assistance to low-income residents. Through the years, HCD has found that many of the program recipients have had difficulty in managing their households, particularly in meeting monthly financial obligations. One of the major operating costs to low-income households is the utility bill. Furthermore, HCD`s experience has revealed that many low-income residents are simply unaware of ways to reduce their utility bill. Most of the HCD funds are distributed to low-income persons as grants or no/low interest loans for the construction or rehabilitation of single-family dwellings. With these funds, HCD builds 80 to 100 new houses and renovates about 500 homes each year. Houses constructed or renovated by HCD must meet HUD`s minimum energy efficiency standards. While these minimum standards are more than adequate to meet local building codes, they are not as aggressive as the energy efficiency standards being promoted by the national utility organizations and the home building industry. Memphis Light, Gas and Water (MLGW), a city-owned utility, has developed an award-winning program named Comfort Plus which promotes energy efficiency{open_quote} in new residential construction. Under Comfort Plus, MLGW models house plans on computer for a fee and recommends cost-effective alterations which improve the energy efficiency of the house. If the builder agrees to include these recommendations, MLGW will certify the house and guarantee a maximum annual heating/cooling bill for two years. While the Comfort Plus program has received recognition in the new construction market, it does not address the existing housing stock.

  13. file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-3a_

    Energy Information Administration (EIA) (indexed site)

    3a. Usage Indicators by Household Income, Million U.S. Households, 2001 ___________________________________________________________________________________________________________ | | | | | | | 2001 Household Income | | Eli- | | | | | gible | | |___________________________________| | for | | | | | | | | Fed- | | | Less | $15,000| $30,000| $50,000| Below | eral | | | than | to | to | or | Poverty| Assist-| Usage Indicators | Total | $14,999| $29,999| $49,999| More | Line | ance 1 |

  14. Liquefied U.S. Natural Gas Exports by Vessel to Portugal (Million Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) Portugal (Million Cubic Feet

  15. Low Income Home Energy Assistance Program (LIHEAP)

    Energy.gov [DOE]

    The Low Income Home Energy Assistance Program (LIHEAP) provides resources to assist families with energy costs. This federally funded assistance helps in managing costs associated with:

  16. Low Income Energy Efficiency Workgroup Meeting #1

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

    for a session at the Efficiency Exchange conference in April and is looking for winning strategies for acquiring low income energy efficiency. The first session focused on...

  17. Perceptions of risk among households in two Australian coastal communities

    SciTech Connect

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall, the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.

  18. Perceptions of risk among households in two Australian coastal communities

    DOE PAGES [OSTI]

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall,more » the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.« less

  19. Reconstructing householder vectors from Tall-Skinny QR

    DOE PAGES [OSTI]

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstratemore » the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.« less

  20. Reconstructing householder vectors from Tall-Skinny QR

    SciTech Connect

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstrate the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.

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

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

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

  2. WPN 12-8: 2012 Poverty Income Guidelines and Definition of Income

    Office of Energy Efficiency and Renewable Energy (EERE)

    To provide Grantees with the 2012 Poverty Income Guidelines and Definition of Income for use in the U.S. Department of Energy’s (DOE) Weatherization Assistance Program (WAP).

  3. Fact #748: October 8, 2012 Components of Household Expenditures on

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

    Transportation, 1984-2010 | Department of Energy 8: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 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 were high, gasoline and motor oil made up a larger share of transportation

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

    SciTech Connect

    Eisenberg, Joel Fred

    2008-01-01

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

  5. Measuring Income and Projecting Energy Use

    SciTech Connect

    Pitcher, Hugh M.

    2009-11-01

    Abstract: Energy is a key requirement for a healthy, productive life and a major driver of the emissions leading to an increasingly warm planet. The implications of a doubling and redoubling of per capita incomes over the remainder of this century for energy use are a critical input into understanding the magnitude of the carbon management problem. A substantial controversy about how the Special Report on Emssions Scenarios (SRES) measured income and the potential implications of how income was measured for long term levels of energy use is revisited again in the McKibbin, Pearce and Stegman article appearing elsewhere in this issue. The recent release of a new set of purchasing power estimates of national income, and the preparations for creating new scenarios to support the IPCCs fifth assessment highlight the importance of the issues which have arisen surrounding income and energy use. Comparing the 1993 and 2005 ICP results on Purchasing Power Parity (PPP) based measures of income reveals that not only do the 2005 ICP estimates share the same issue of common growth rates for real income as measured by PPP and US $, but the lack of coherence in the estimates of PPP incomes, especially for developing countries raises yet another obstacle to resolving the best way to measure income. Further, the common use of an income term to mediate energy demand (as in the Kaya identity) obscures an underlying reality about per capita energy demands, leading to unreasonable estimates of the impact of changing income measures and of the recent high GDP growth rates in India and China. Significant new research is required to create both a reasonable set of GDP growth rates and long term levels of energy use.

  6. Texas Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) Texas Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 7,018,237 7,239,621 7,613,234 1970's 7,808,476 7,938,550 8,139,408 7,683,830 7,194,453 6,509,132 6,253,159 6,030,131 5,621,419 1980's 4,563,931 4,507,771 4,258,852 4,377,799 4,164,382 4,199,501 3,997,226 3,813,727 3,842,395 1990's 3,860,388 4,874,718 4,231,145 4,301,504 4,160,551 4,132,491 4,180,062 4,171,967 4,073,739 3,903,351

  7. Pennsylvania Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Pennsylvania Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 2,247 2,390 1,708 1970's 1,418 1,112 1,711 0 0 0 0 0 0 1980's 2,001 2,393 5,432 6,115 5,407 6,356 6,459 6,126 6,518 1990's 6,613 10,244 11,540 10,263 7,133 10,106 10,341 11,661 11,366 11,261 2000's 7,758 9,928 7,033 9,441 9,423 11,462 12,386 13,367 18,046 22,364 2010's 56,162 131,959 236,817 396,726 301,514 405,787 - = No Data Reported;

  8. Michigan Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Michigan Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 171,531 156,996 143,802 1970's 139,571 141,784 94,738 37,384 45,106 79,154 151,318 172,578 199,347 1980's 155,984 151,560 137,364 148,076 151,393 142,255 137,687 125,183 123,578 1990's 134,550 170,574 186,144 201,985 196,000 179,678 117,119 86,564 83,052 67,514 2000's 58,482 50,734 47,292 41,619 37,977 34,545 33,213 29,436 30,008 23,819

  9. Mississippi Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Mississippi Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 46,068 44,510 0 1970's 50,509 44,732 29,538 29,081 24,568 29,694 0 0 0 1980's 34,337 38,315 29,416 29,705 23,428 21,955 12,131 9,565 8,353 1990's 7,887 7,649 4,822 4,892 5,052 4,869 4,521 4,372 3,668 135,773 2000's 205,106 239,830 263,456 283,675 283,763 292,023 278,436 224,596 174,573 215,951 2010's 218,840 126,859 6,865 4,527 5,633

  10. Montana Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Montana Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 60,500 59,058 57,793 1970's 59,193 57,105 61,757 56,960 146,907 156,203 0 0 0 1980's 11,825 13,169 15,093 16,349 19,793 16,212 14,177 15,230 15,475 1990's 14,629 14,864 12,697 11,010 10,418 9,413 10,141 8,859 8,715 5,211 2000's 5,495 5,691 6,030 6,263 6,720 10,057 12,685 13,646 13,137 12,415 2010's 12,391 11,185 12,727 14,575 14,751 15,146 -

  11. Oklahoma Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Oklahoma Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 1,038,103 1,122,692 1,167,150 1970's 1,183,273 1,123,614 1,116,872 1,175,548 1,092,487 1,033,003 1,072,992 1,057,326 1,069,293 1980's 1,063,256 1,112,740 1,023,057 1,118,403 1,137,463 1,103,062 1,127,780 1,301,673 1,145,688 1990's 1,102,301 1,100,812 1,071,426 1,082,452 1,092,734 1,015,965 1,054,123 1,014,008 947,177 892,396 2000's 963,464

  12. Alabama Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) Alabama Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 57,208 1970's 0 0 0 0 0 0 25,517 31,610 32,806 1980's 38,572 41,914 38,810 42,181 45,662 48,382 49,341 52,511 55,939 1990's 58,136 76,739 126,910 132,222 136,195 118,688 112,868 114,411 107,334 309,492 2000's 372,136 285,953 290,164 237,377 263,426 255,157 287,278 257,443 253,028 248,232 2010's 242,444 230,546 87,269 89,258 80,590

  13. Alaska Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Processed (Million Cubic Feet) Alaska Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 1970's 0 0 0 0 0 0 149,865 151,669 147,954 1980's 111,512 115,394 42,115 62,144 66,062 58,732 134,945 76,805 75,703 1990's 1,571,438 1,873,279 2,121,838 2,295,499 2,667,254 2,980,557 2,987,364 2,964,734 2,966,461 2,950,502 2000's 3,123,599 2,984,807 2,997,824 2,447,017 2,680,859 3,089,229 2,665,742 2,965,956 2,901,760 2,830,034

  14. Arkansas Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Arkansas Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 93,452 88,011 56,190 1970's 37,816 31,387 17,946 26,135 19,784 17,918 20,370 18,630 18,480 1980's 29,003 31,530 33,753 34,572 258,648 174,872 197,781 213,558 228,157 1990's 272,278 224,625 156,573 198,074 218,710 100,720 219,477 185,244 198,148 179,524 2000's 207,045 207,352 12,635 13,725 10,139 16,756 13,702 11,532 6,531 2,352 2010's 9,599

  15. Kentucky Natural Gas Processed (Million Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    (Million Cubic Feet) Kentucky Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 1980's 237,759 230,940 241,558 256,522 253,652 150,627 26,888 26,673 18,707 1990's 28,379 40,966 47,425 45,782 42,877 44,734 46,015 43,352 37,929 44,064 2000's 36,734 36,901 41,078 42,758 38,208 38,792 39,559 38,158 58,899 60,167 2010's 66,579 60,941 92,883 85,549 79,985 75,162 - = No Data Reported; -- = Not

  16. Freeport, TX Liquefied Natural Gas Exports to Turkey (Million...

    Energy Information Administration (EIA) (indexed site)

    Turkey (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports to Turkey (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 3,145 - No Data ...

  17. Other States Natural Gas Gross Withdrawals from Shale Gas (Million...

    Gasoline and Diesel Fuel Update

    Shale Gas (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 13,204 ...

  18. DOE's Office of Science Awards 18 Million Hours of Supercomputing...

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

    DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of...

  19. Cameron, LA Liquefied Natural Gas Exports to Spain (Million Cubic...

    Energy Information Administration (EIA) (indexed site)

    Spain (Million Cubic Feet) Cameron, LA Liquefied Natural Gas Exports to Spain (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 2,911 - No Data ...

  20. Sabine Pass, LA Exports to Spain Liquefied Natural Gas (Million...

    Energy Information Administration (EIA) (indexed site)

    Spain Liquefied Natural Gas (Million Cubic Feet) Sabine Pass, LA Exports to Spain Liquefied Natural Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec ...

  1. Maine Natural Gas Total Consumption (Million Cubic Feet)

    Annual Energy Outlook

    Total Consumption (Million Cubic Feet) Maine Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

  2. Maine Natural Gas Exports (No Intransit Deliveries) (Million...

    Energy Information Administration (EIA) (indexed site)

    Exports (No Intransit Deliveries) (Million Cubic Feet) Maine Natural Gas Exports (No Intransit Deliveries) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

  3. Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet...

    Energy Information Administration (EIA) (indexed site)

    Vehicle Fuel Consumption (Million Cubic Feet) Maine Natural Gas Vehicle Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  4. Other States Natural Gas Gross Withdrawals from Gas Wells (Million...

    Energy Information Administration (EIA) (indexed site)

    Gas Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 72,328 ...

  5. Freeport, TX Liquefied Natural Gas Exports to Egypt (Million...

    Energy Information Administration (EIA) (indexed site)

    Egypt (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports to Egypt (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 2,947 - No Data ...

  6. Texas Natural Gas Underground Storage Volume (Million Cubic Feet...

    Gasoline and Diesel Fuel Update

    Underground Storage Volume (Million Cubic Feet) Texas Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 456,385 ...

  7. Tennessee Natural Gas Underground Storage Volume (Million Cubic...

    Annual Energy Outlook

    Underground Storage Volume (Million Cubic Feet) Tennessee Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 0 0 ...

  8. Michigan Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Michigan Natural Gas Gross Withdrawals (Million Cubic Feet) Michigan Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 ...

  9. Mississippi Natural Gas Underground Storage Volume (Million Cubic...

    Gasoline and Diesel Fuel Update

    Underground Storage Volume (Million Cubic Feet) Mississippi Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 ...

  10. Kansas Natural Gas Underground Storage Volume (Million Cubic...

    Gasoline and Diesel Fuel Update

    Underground Storage Volume (Million Cubic Feet) Kansas Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 245,145 ...

  11. Washington Natural Gas Underground Storage Volume (Million Cubic...

    Annual Energy Outlook

    Underground Storage Volume (Million Cubic Feet) Washington Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 ...

  12. Iowa Natural Gas Underground Storage Volume (Million Cubic Feet...

    Gasoline and Diesel Fuel Update

    Underground Storage Volume (Million Cubic Feet) Iowa Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 228,019 ...

  13. Virginia Natural Gas Underground Storage Volume (Million Cubic...

    Annual Energy Outlook

    Underground Storage Volume (Million Cubic Feet) Virginia Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 0 0 0 ...

  14. Arizona Natural Gas Vented and Flared (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Vented and Flared (Million Cubic Feet) Arizona Natural Gas Vented and Flared (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 ...

  15. Montana Natural Gas Underground Storage Volume (Million Cubic...

    Annual Energy Outlook

    Underground Storage Volume (Million Cubic Feet) Montana Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 ...

  16. Ohio Natural Gas Underground Storage Volume (Million Cubic Feet...

    Annual Energy Outlook

    Underground Storage Volume (Million Cubic Feet) Ohio Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 439,384 ...

  17. Illinois Natural Gas Underground Storage Volume (Million Cubic...

    Annual Energy Outlook

    Underground Storage Volume (Million Cubic Feet) Illinois Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 ...

  18. Arkansas Natural Gas Underground Storage Volume (Million Cubic...

    Annual Energy Outlook

    Underground Storage Volume (Million Cubic Feet) Arkansas Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 ...

  19. Oregon Natural Gas Underground Storage Volume (Million Cubic...

    Gasoline and Diesel Fuel Update

    Underground Storage Volume (Million Cubic Feet) Oregon Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 6,996 ...

  20. Maryland Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Maryland Natural Gas Gross Withdrawals (Million Cubic Feet) Maryland Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 0 ...