National Library of Energy BETA

Sample records for median household income

  1. 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

  2. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect (OSTI)

    none,

    2011-12-01

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

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

    U.S. 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 ...

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

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

    Energy Multifamily and Low-Income Housing Peer Exchange Call Series: Loan Programs for Low- and Moderate-Income Households, March 13, 2014. PDF icon Call Slides and Discussion Summary More Documents & Publications EcoHouse Program Overview Strengthening Relationships Between Energy Programs and Housing Programs Targeted Marketing and Program Design for Low- and Moderate-Income Households

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

    SciTech Connect (OSTI)

    none,

    2012-09-20

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

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

    Reports and Publications (EIA)

    2004-01-01

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

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

    Broader source: 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.

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

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

    Family & Low-Income Housing Peer Exchange Call Series: Loan Programs for Low- and Moderate-Income Households March 13, 2014 Agenda  Call Logistics and Introductions  Featured Participants  Becca Harmon Murphy (Indianapolis Neighborhood Housing Partnership)  Discussion:  What strategies or approaches has your program used to build interest in your loan programs for moderate- and low-income households? What has worked well, and why do you think it was effective?  What

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

    SciTech Connect (OSTI)

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

    1987-08-01

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

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

    U.S. 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"

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

    U.S. 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"

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

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

    Housing Unit 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" "Housing Unit Characteristics"

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

    U.S. 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"

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

    U.S. 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"

  15. 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

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

    0, 2011 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 Participating Grant Programs * Austin, TX * Bainbridge Is., WA * Carrboro, NC * Chicago, IL * Connecticut * Phoenix, AZ * Portland, OR * NYSERDA (Long Island, NY) * Michigan * New Hampshire * Indianapolis, IN * San Diego, CA * San Jose, CA * Seattle, WA 8/17/2014 2 Agenda * Call Logistics and

  16. BENTON PUD LOW INCOME CONSERVATION PROGRAM

    Broader source: All U.S. Department of Energy (DOE) Office 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%...

  17. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  18. appl_household2001.pdf

    U.S. 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 ...

  19. spaceheat_household2001.pdf

    U.S. 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 ...

  20. ac_household2001.pdf

    U.S. 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 ...

  1. char_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... Income Relative to Poverty Line Below 100 Percent ...... 15.0 13.2 1.8 Q ...

  2. "Table HC7.10 Home Appliances Usage Indicators by Household...

    U.S. 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" ...

  3. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  4. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Appliances Tables (Million U.S. Households; 60 pages, 240 kb) Contents Pages HC5-1a. Appliances by Climate Zone, Million U.S. Households, 2001 5 HC5-2a. Appliances by Year of Construction, Million U.S. Households, 2001 5 HC5-3a. Appliances by Household Income, Million U.S. Households, 2001 5 HC5-4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 5 HC5-5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC5-6a. Appliances by Type of Rented

  5. usage_household2001.pdf

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

    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

  6. homeoffice_household2001.pdf

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

    Home Office Equipment Tables (Million U.S. Households; 12 pages, 123 kb) Contents Pages HC7-1a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 1 HC7-2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 1 HC7-3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 1 HC7-4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 1 HC7-5a. Home Office Equipment by Type of Owner-Occupied Housing Unit,

  7. housingunit_household2001.pdf

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

  8. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... definition. 2 Below 150 percent of poverty line or 60 percent of median State ...

  9. 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 ...

  10. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 1.5 0.5 1.0 14.6 1 Below 150 percent of poverty line or 60 percent of median State ...

  11. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 1.2 0.7 0.5 11.3 1 Below 150 percent of poverty line or 60 percent of median State ...

  12. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 0.9 0.5 0.6 13.0 1 Below 150 percent of poverty line or 60 percent of median State ...

  13. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 15.0 1.0 3.4 ... weather station. 2 Below 150 percent of poverty line or 60 percent of median State ...

  14. homeoffice_household2001.pdf

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

    3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for 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 0.4 1.9 1.2 1.0 0.6 1.9 0.9 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 47.6 3.0 Households Using Office Equipment .......................... 96.2 13.2 19.8 25.5 37.7

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

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

    8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ... to 79,999","80,000 or More" "Water Heating Characteristics" ...

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

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

    Households | Department of Energy Targeted Marketing and Program Design for Low- and Moderate-Income Households Targeted Marketing and Program Design for Low- and Moderate-Income Households 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. PDF icon Call Slides and Discussion Summary More Documents & Publications Loan Programs

  17. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 15.0 6.7 2.3 ... 4.9 Q Q 0.2 14.8 1 Below 150 percent of poverty line or 60 percent of median State ...

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

    U.S. 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....

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

    Buildings Energy Data Book [EERE]

    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

  20. 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 ...

  1. http://www.census.gov/

    National Nuclear Security Administration (NNSA)

    People & Households American Community Survey * Estimates * Projections Income | State Median Income * Poverty * Health Insurance International * Genealogy * Census 2000 * More ...

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

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

    More Documents & Publications EcoHouse Program Overview Strengthening Relationships Between Energy Programs and Housing Programs Targeted Marketing and Program Design for Low- and ...

  3. Property:EstimatedCostMedianUSD | Open Energy Information

    Open Energy Info (EERE)

    Name EstimatedCostMedianUSD Property Type Quantity Description the median estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  4. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

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

    U.S. 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...

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

    SciTech Connect (OSTI)

    Schreckengost, R.L.

    1985-01-01

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

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

    Buildings Energy Data Book [EERE]

    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

  8. Household Vehicles Energy Consumption 1991

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

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

  9. Household Vehicles Energy Consumption 1991

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

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

  10. NMDOT Application for Permit to Construct an Access or Median...

    Open Energy Info (EERE)

    Construct an Access or Median Opening on Public Right of Way Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: NMDOT Application for...

  11. Property:EstimatedTimeMedian | Open Energy Information

    Open Energy Info (EERE)

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeMedian" Showing 25 pages...

  12. Household Vehicles Energy Use Cover Page

    U.S. 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 *...

  13. 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 ...

  14. 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

  15. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  16. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  17. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  18. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  19. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 Air Conditioning 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 Households With Electric Air-Conditioning Equipment ...................... 82.9 36.8 13.6 18.9 13.6 4.3 Air Conditioners Not Used ........................... 2.1 1.2 0.2 0.4 0.3 21.4 Households Using Electric Air-Conditioning 2 ........................................ 80.8 35.6 13.4

  20. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  1. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  2. Household Vehicles Energy Consumption 1991

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

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

  3. spaceheat_household2001.pdf

    U.S. 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...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Low Income Efficiency

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

  6. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  7. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  8. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  9. Federal options for low-income electricity policy

    SciTech Connect (OSTI)

    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.

  10. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Household Size 1 Person ...................................................... 28.2 2.2 2.4 1.8 1.7 7.3 2 Persons .................................................... 35.1 2.2 4.0 2.4 2.0 6.9 3 Persons

  11. homeoffice_household2001.pdf

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

    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

  12. homeoffice_household2001.pdf

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

    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

  13. homeoffice_household2001.pdf

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

    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

  14. homeoffice_household2001.pdf

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

    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

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

    Buildings Energy Data Book [EERE]

    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

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

    SciTech Connect (OSTI)

    Figueroa, M.J.; Sathaye, J.

    1993-08-01

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

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

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

    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 ...

  18. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  19. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditioning Equipment ...................... 82.9 4.9 6.0 7.4 6.2 2.4 Air Conditioners Not Used ........................... 2.1 0.1 0.8 Q 0.1 23.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 4.7 5.2 7.4 6.1 2.6 Type of Electric Air-Conditioning Used Central

  20. homeoffice_household2001.pdf

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

    a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 Home Office Equipment 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 1.2 1.1 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.9 Households Using Office Equipment .......................... 96.2 8.4 26.2 21.1 19.0

  1. homeoffice_household2001.pdf

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

    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

  2. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  3. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 9.8 2.8 2.1 4.4 0.5 11.6 100 to 150 Percent ...... 5.1 1.4 1.1 2.3 Q 14.2 Above 150 ...

  4. char_household2001.pdf

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

    Income Relative to Poverty Line Below 100 Percent ...... 5.2 3.9 Q Q 1.1 21.9 100 to 150 Percent ...... 6.4 5.2 0.2 Q 0.9 16.5 Above 150 Percent ...

  5. Table B2. Summary Table: Totals and Medians of Floorspace, Number of Workers,

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

    . Summary Table: Totals and Medians of Floorspace, Number of Workers, Hours of Operation, and Age of Building, 1999" ,"All Buildings (thousand)","Total Floorspace (million square feet)","Total Workers in All Buildings (thousand)","Median Square Feet per Building (thousand)","Median Square Feet per Worker","Median Hours per Week","Median Age of Buildings (years)" "All Buildings

  6. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  7. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  8. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  9. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  10. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  11. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  12. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  13. homeoffice_household2001.pdf

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

    2001 Home Office Equipment RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Households Using Office Equipment ......................................... 96.2 6.2 11.4 6.7 5.9 1.7 Personal Computers 1 ................................. 60.0 3.4 7.9 4.1 3.8 4.4 Number of Desktop PCs 1

  14. spaceheat_household2001.pdf

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

    0a. Space Heating by Midwest Census Region, Million U.S. Households, 2001 Space Heating 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 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Heat Home .................................................... 106.0 24.5 17.1 7.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.8 No

  15. spaceheat_household2001.pdf

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

    1a. Space Heating by South Census Region, Million U.S. Households, 2001 Space Heating 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 0.9 1.2 1.4 1.3 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Heat Home .................................................... 106.0 38.8 20.2 6.8 11.8 NE Do Not Heat Home

  16. spaceheat_household2001.pdf

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

    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

  17. spaceheat_household2001.pdf

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

    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

  18. spaceheat_household2001.pdf

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

    8a. Space Heating by Urban/Rural Location, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.6 0.9 1.3 1.3 1.2 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.3 Heat Home .................................................... 106.0 49.1 18.0 21.2 17.8 4.3 Do Not Heat Home ....................................... 1.0 0.7 0.1 0.1 0.1 25.8 No Heating

  19. spaceheat_household2001.pdf

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

    9a. Space Heating by Northeast Census Region, Million U.S. Households, 2001 Space Heating 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 1.7 Total .............................................................. 107.0 20.3 14.8 5.4 NE Heat Home .................................................... 106.0 20.1 14.7 5.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.9 No

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

    SciTech Connect (OSTI)

    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.

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

    Energy Savers [EERE]

    Department of Energy EPA Webinar - Solar for All: Making it Happen in Low-Income Communities EPA Webinar - Solar for All: Making it Happen in Low-Income Communities April 13, 2016 12:00PM to 1:30PM MDT 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. Speakers will provide a nationwide

  2. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  3. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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

  4. spaceheat_household2001.pdf

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

    a. Space Heating by Climate Zone, Million U.S. Households, 2001 Space Heating 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 0.5 1.6 1.1 1.1 1.1 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 8.2 Heat Home ..................................... 106.0 9.2 28.6 23.9 20.7 23.6 8.2 Do Not

  5. spaceheat_household2001.pdf

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

    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 ........................

  6. spaceheat_household2001.pdf

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

    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

  7. Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 |

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

    Department of Energy 7: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 Fact #597: November 16, 2009 Median Age of Cars and Trucks Rising in 2008 The median age of cars and trucks in the U.S. continued to grow in 2008. Due to the economic climate and high gasoline prices that summer, consumers held onto their vehicles longer and delayed new purchases of vehicles. The median age of cars was at an all-time high in 2008, while the median age of trucks reached its highest point

  8. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect (OSTI)

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

    2009-04-15

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

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

    Open Energy Info (EERE)

    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...

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

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

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

  11. Microsoft Word - Household Energy Use CA

    U.S. 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

  12. Microsoft Word - Household Energy Use CA

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

    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

  13. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    1995-10-05

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

  14. 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.<br /> Credit: Whirlpool Embraco's high efficiency, oil-free linear compressor. Credit: Whirlpool ORNL's Pradeep Bansal examines an Embraco linear compressor, which will be used in a Whirlpool-ORNL project aimed at building a more energy-efficient refrigerator. ORNL's Pradeep Bansal examines an Embraco linear compressor, which will be used in a Whirlpool-ORNL

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

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23

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

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

    SciTech Connect (OSTI)

    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.

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: 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.

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

    Broader source: 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.

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

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

    ... Thermostats" "Reduces Temperature During Day" "Yes",18.6,1.9,3.3,4,3.1,6.2,1.2,3.2 "No",14.5,2.3,3.1,2.5,2.4,4.2,1.3,3.5 "Reduces Temperature at Night" ...

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

    SciTech Connect (OSTI)

    Eisenberg, Joel F.

    2005-10-31

    The Department of Energys 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 nations 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 Energys 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.

  7. PowerPoint Presentation

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

    areas, typically have: - low median household incomes - high unemployment - high poverty (see "Designations" section in website's FAQs) 6 www.sba.gov There are 4 kinds of ...

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

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

    Department of Energy 25, 2014 To provide Grantees with the 2014 Poverty Income Guidelines and Definition of Income for use in the Low-Income Weatherization Assistance Program (WAP). PDF icon WPN 14-3: 2014 Poverty Income Guidelines and Definition of Income More Documents & Publications WPN 12-8: 2012 Poverty Income Guidelines and Definition of Income WPN 15-3: 2015 Poverty Income Guidelines

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

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

    Department of Energy 19, 2015 To provide Grantees with the 2015 Poverty Income Guidelines and Definition of Income for use in the low-income Weatherization Assistance Program (WAP). PDF icon WPN 15-3: 2015 Poverty Income Guidelines and Definition of Income More Documents & Publications WPN 12-8: 2012 Poverty Income Guidelines and Definition of Income WPN 14-3: 2014 Poverty Income Guidance

  10. Strategies for Collecting Household Energy Data | Department of Energy

    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 Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012. PDF icon Call Slides and Discussion Summary More Documents & Publications Homeowner and Contractor Surveys Mastermind: Jim Mikel, Spirit Foundation Generating Energy Efficiency Project Leads and Allocating Leads to Contractors

  11. Low-Income Weatherization: The Human Dimension

    Broader source: Energy.gov [DOE]

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

  12. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

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

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

    Broader source: 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. 1997 Housing Characteristics Tables Home Office Equipment Tables

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

    ... RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral ... 32.3 39.0 2.7 1 Below 150 percent of poverty line or 60 percent of median State income. ...

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  17. 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 ...

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

    SciTech Connect (OSTI)

    Hoffman, W.L.

    1982-12-01

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

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

    Broader source: 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.

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

    SciTech Connect (OSTI)

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

    2008-01-25

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

  1. Reconstructing householder vectors from Tall-Skinny QR

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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

  2. Reconstructing householder vectors from Tall-Skinny QR

    SciTech Connect (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 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.

  3. Low Income Energy Efficiency Workgroup Meeting #1

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

  4. Low Income Home Energy Assistance Program (LIHEAP)

    Broader source: 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:

  5. 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

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

    Broader source: Energy.gov [DOE]

    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).

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

    Buildings Energy Data Book [EERE]

    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

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

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred

    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.

  9. Measuring Income and Projecting Energy Use

    SciTech Connect (OSTI)

    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.

  10. Table 2. Percent of Households with Vehicles, Selected Survey...

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

    Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08...

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

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

    F (2001) -- Household Natural Gas Usage Form OMB No. 1905-0092, Expiring February 29, 2004 ... This report is required by law. The timely submission of Form EIA-457F by those required ...

  12. Transferring 2001 National Household Travel Survey

    SciTech Connect (OSTI)

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

    2007-05-01

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

  13. EERE Success Story—Kingston Creek Hydro Project Powers 100 Households

    Broader source: Energy.gov [DOE]

    Hydropower project produces enough electricity to annually power nearly 100 typical American households.

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

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

    Statistics | Department of Energy 8: April 12, 2010 Vehicles per Household and Other Demographic Statistics Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per household has increased by 66% and the number of vehicles per licensed driver has increased by 47%. The number of workers per household has changed the least of the statistics shown here. There has been a decline in the number of persons per household from 1969 to

  15. LIEE (LOW-INCOME ENERGY EFFICIENCY) GRANT PROGRAM VERSUS THE...

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

    614 LIEE (LOW-INCOME ENERGY EFFICIENCY) GRANT PROGRAM VERSUS THE UTILITY LOW-INCOME WEATHERIZATION & DUCT SEALING PROGRAM Program Requirements and Specifications Grant Program-...

  16. Proposed Structure and Organizing Principles for Low Income Energy...

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

    Structure and Organizing Principles for Low Income Energy Efficiency Workgroup 1 Background As part of Post-2011-Review, BPA agreed to convene a low income energy efficiency...

  17. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

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

    1996-11-01

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

  18. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

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

    1996-01-01

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

  19. Household heating bills expected to be lower this winter

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

    Household heating bills expected to be lower this winter U.S. consumers are expected to pay less this winter on their home heating bills because of lower oil and natural gas prices and projected milder temperatures than last winter. In its new forecast, the U.S. Energy Information Administration said households that rely on heating oil which are mainly located in the Northeast will pay the lowest heating expenditures in 9 years down 25% from last winter as consumers are expected to save about

  20. A Glance at Chinas Household Consumption

    SciTech Connect (OSTI)

    Shui, Bin

    2009-10-22

    Known for its scale, China is the most populous country with the worlds third largest economy. In the context of rising living standards, a relatively lower share of household consumption in its GDP, a strong domestic market and globalization, China is witnessing an unavoidable increase in household consumption, related energy consumption and carbon emissions. Chinese policy decision makers and researchers are well aware of these challenges and keen to promote green lifestyles. China has developed a series of energy policies and programs, and launched a wide?range social marketing activities to promote energy conservation.

  1. Kingston Creek Hydro Project Powers 100 Households | Department of Energy

    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 Controls, LLC used a low-interest loan from the Nevada State Office of Energy's Revolving Loan Fund to help construct a hydropower project in the small Nevada town of Kingston. The Kingston Creek Project-benefitting the Young Brothers Ranch-is a 175-kilowatt hydro generation plant on private land that takes advantage of an

  2. Shared Solar Projects Powering Households Throughout America | Department

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

    of Energy Shared Solar Projects Powering Households Throughout America Shared Solar Projects Powering Households Throughout America January 31, 2014 - 2:30pm Addthis Shared solar projects allow consumers to take advantage of solar energy’s myriad benefits, even though the system is not located on the consumer’s own rooftop. | Photo courtesy of the Vote Solar Initiative Shared solar projects allow consumers to take advantage of solar energy's myriad benefits, even though the system

  3. Household Vehicles Energy Use: Latest Data and Trends - Table...

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

    ... 6.5 1.5 15.4 957 1,031 Income Relative to Poverty Line Below 100 Percent... 7.9 1.4 14.7 942 937...

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

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

    More Vehicles | Department of Energy 7: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of households with three or more vehicles grew from 2% in 1960 to nearly 20% in 2010. Before 1990,

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

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

    Department of Energy 9: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles that the primary vehicle travels in a day. In a six-vehicle household, the sixth vehicle travels fewer than five miles a day. Daily Vehicle

  6. EmPOWER Maryland Low Income Energy Efficiency Program

    Broader source: Energy.gov [DOE]

    The Maryland Department of Housing and Community Development (DHCD) EmPOWER Maryland Low Income Energy Efficiency Program helps qualifying low-income residents increase the energy efficiency of t...

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

    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 Call: Messaging and Messaging Strategies for Low-Income Program Participants, May 12, 2011. PDF icon Call Slides and Discussion Summary More Documents & Publications How to Design and Market Energy Efficiency Programs to Specific Neighborhoods Working With Weatherization Assistance Programs Outreach to Faith--Based

  8. Household Vehicles Energy Use: Latest Data and Trends - Table...

    Gasoline and Diesel Fuel Update (EIA)

    ... 9.6 5.0 100 4.4 6.2 4.5 0.8 6.8 4.5 Income Relative to Poverty Line Below 100 Percent... 11.4 6.0 116 5.1 5.6...

  9. Household Vehicles Energy Use: Latest Data and Trends - Table...

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

    11.5 0.8 1.0 0.9 0.8 0.7 0.8 0.7 1.6 1.4 0.8 0.5 0.2 0.1 0.7 0.4 Income Relative to Poverty Line Below 100 Percent... 13.3 0.3 0.4 0.4 0.6...

  10. Fact #614: March 15, 2010 Average Age of Household Vehicles | Department of

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

    Energy 4: March 15, 2010 Average Age of Household Vehicles Fact #614: March 15, 2010 Average Age of Household Vehicles The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first reported in the 1995 survey, have the youngest average age. Average Vehicle Age by Vehicle Type Graph showing the average vehicle age by type (car, van, pickup, SUV, all household

  11. The Denver Energy Challenge-- Serving Moderate Income Residents

    Broader source: Energy.gov [DOE]

    Provides an overview of the Denver Energy Challenge and how services were expanded to moderate income residents including challenges and next steps.

  12. Effective Energy Behavior Change for Low-Income Weatherization Clients

    Broader source: Energy.gov [DOE]

    This document contains the transcript for the Effective Energy Behavior Change for Low-Income Weatherization Clients webinar presented on May 31, 2012.

  13. Better Buildings Neighborhood Program Multi-family/ Low Income...

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

    Program Multi-family Low Income Peer Exchange Call: Information Technology ... your program using for project information, marketing, assessment, tracking or evaluation? ...

  14. Approaches to Electric Utility Energy Efficiency for Low Income...

    Open Energy Info (EERE)

    Approaches to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Approaches...

  15. Alternative Energy and Energy Conservation Patent Income Tax...

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

    Personal) Alternative Energy and Energy Conservation Patent Income Tax Deduction (Personal) < Back Eligibility Residential Savings Category Solar - Passive Solar Water Heat Solar...

  16. Alternative Energy and Energy Conservation Patent Income Tax...

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

    Corporate) Alternative Energy and Energy Conservation Patent Income Tax Deduction (Corporate) < Back Eligibility Commercial Savings Category Solar - Passive Solar Water Heat Solar...

  17. Better Buildings Neighborhood Program Multi-Family and Low Income...

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

    Multi-Family and Low Income Peer Exchange Call: Using Partnerships to Drive Demand and ... can affect program efficiency * Liability issues may become more complex * Inertia may be ...

  18. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01

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

  19. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01

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

  20. Heating oil and propane households bills to be lower this winter despite recent cold spell

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

    Heating oil and propane households bills to be lower this winter despite recent cold spell Despite the recent cold weather, households that use heating oil or propane as their main space heating fuel are still expected to have lower heating bills compared with last winter. In its new monthly forecast, the U.S. Energy Information Administration said the average household that uses heating oil will spend $1,780 this winter that's about $570 less than last winter. Those savings reflect lower crude

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

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

    | Department of Energy 6: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose In 2009, getting to and from work accounted for about 27% of household vehicle-miles of travel (VMT). Work-related business was 8.4% of VMT in 2001, but declined to 6.7% in 2009, possibly due to advancements in computing technology making it possible for more business to be handled electronically. VMT for shopping was almost

  2. 55,"Aberdeen City of",5,1,479437,"Taxes Other Than Income Taxes...

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

    ... 14, less line 19)" 230,"Albany Water Gas & Light Comm",5,1,4930279,"Taxes Other Than Income Taxes, Operating Income (408.1)" 230,"Albany Water Gas & Light Comm",5,2,0,"Income ...

  3. 55,"Aberdeen City of",5,1,482619,"Taxes Other Than Income Taxes...

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

    ... 14, less line 19)" 230,"Albany Water Gas & Light Comm",5,1,4952607,"Taxes Other Than Income Taxes, Operating Income (408.1)" 230,"Albany Water Gas & Light Comm",5,2,0,"Income ...

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

    Broader source: Energy.gov [DOE]

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

  5. Tailored Marketing for Low-income and Under-Represented Population...

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

    Tailored Marketing for Low-income and Under-Represented Population Segments (201) Tailored Marketing for Low-income and Under-Represented Population Segments (201) Better Buildings ...

  6. Competition Helps Kids Learn About Energy and Save Their Households Some

    Office of Environmental Management (EM)

    Money | Department of Energy 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 Addthis Students can register now to save energy and win prizes with the Home Energy Challenge. Students can register now to save energy and win prizes with the Home Energy Challenge. Eric Barendsen Energy Technology Program Specialist, Office of Energy Efficiency and Renewable Energy

  7. Figure ES2. Annual Indices of Real Disposable Income, Vehicle...

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

    ES2 Figure ES2. Annual Indices of Real Disposable Income, Vehicle-Miles Traveled, Consumer Price Index (CPI-U), and Real Average Retail Gasoline Price, 1978-2004, 1985100...

  8. Income Tax Deduction for Energy-Efficient Products | Department...

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

    may deduct from their taxable personal income an amount equal to 20% of the sales taxes paid for certain energy efficient equipment. The incentive is capped at 500. This...

  9. The Farmer's Conundrum: Income from Biofuels or Protect the Soil?

    Broader source: Energy.gov [DOE]

    Selling crop residues for bioenergy could provide farmers with an extra source of income, but leaving some residue on the fields has benefits too. So how can land managers find this balance?

  10. Empire District Electric- Low Income New Homes Program

    Broader source: Energy.gov [DOE]

    Empire District Electric offers rebates for energy efficient measures and appliances in new, low-income homes. Rebates are available for several types of building insulation, heat pumps, central...

  11. Income Tax Deduction for the Installation of Building Insulation

    Broader source: Energy.gov [DOE]

    A residential taxpayer is entitled to an Indiana income tax deduction on the materials and labor used to install insulation in a taxpayer’s principal place of residence in Indiana. 

  12. Better Buildings Program San Jose -- Serving Moderate Income Residents |

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

    Department of Energy Program San Jose -- Serving Moderate Income Residents Better Buildings Program San Jose -- Serving Moderate Income Residents Provides an overview of the program components and goals, including the whole neighborhood approach pilot which aims to streamline participant, contractor, and administration processes for neighborhood retrofitting in order to reduce high transaction costs created by the current one-off delivery model. PDF icon San Jose Program Presentation More

  13. Table 4

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

    9. Mean Annual Electricity Consumption for Lighting, by Family Income by Number of Household Members, 1993 (Kilowatthours) Number of Household Members Family Income All Households...

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

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

    3 Household Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Household Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Household Size" "1 Person",30,1.8,1.9,2,3.2 "2 Persons",34.8,2.2,2.3,2.4,3.2 "3 Persons",18.4,1.1,1.3,1.2,1.8

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

    SciTech Connect (OSTI)

    Zimring, Mark; Fuller, Merrian

    2011-01-24

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

  16. Revenue phase-in plans equal deferred taxable income

    SciTech Connect (OSTI)

    Beck, D.E.

    1994-04-01

    Recently, utilities seeking rate increases have submitted innovative petitions for phase-in rate relief to state regulators. According to the Edison Electric Institute, the industry has seen almost 80 phase-in rate orders issued nation-wide in the last six years. For financial reporting purposes, deferred revenues under phase-in plans must be recognized as current income in the first year of the phase-in. The Internal Revenue Service (IRS) at the Industry Coordinator level, however, recently accepted the position that deferred phase-in revenues accrued for book purposes are not immediately taxable income to the utility.

  17. Households to pay more than expected to stay warm this winter

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

    Households to pay more than expected to stay warm this winter Following a colder-than-expected November, U.S. households are forecast to consume more heating fuels than previously expected....resulting in higher heating bills. Homeowners that rely on natural gas will see their total winter expenses rise nearly 13 percent from last winter....while users of electric heat will see a 2.6 percent increase in costs. That's the latest forecast from the U.S. Energy Information Administration. Propane

  18. Average U.S. household to spend $710 less on gasoline during 2015

    Gasoline and Diesel Fuel Update (EIA)

    Average U.S. household to spend $710 less on gasoline during 2015 Even with the recent increases in gasoline prices, the average U.S. household is still expected save $710 in gasoline costs this year compared with what was paid at the pump in 2014. In its new monthly forecast, the U.S. Energy Information Administration said the national average price for regular gasoline is expected to be $2.39 per gallon this year. That's almost $1 less than the $3.36 average in 2014. Lower crude oil prices

  19. Average household expected to save $675 at the pump in 2015

    Gasoline and Diesel Fuel Update (EIA)

    Average household expected to save $675 at the pump in 2015 Although retail gasoline prices have risen in recent weeks U.S. consumers are still expected to save about $675 per household in motor fuel costs this year. In its new monthly forecast, the U.S. Energy Information Administration says the average pump price for regular grade gasoline in 2015 will be $2.43 per gallon. That's about 93 cents lower than last year's average. The savings for consumers will be even bigger during the

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

    Buildings Energy Data Book [EERE]

    6 Weatherization Costs and Savings - DOE Weatherization program requires that States spend no more than an average of $6,572 per household in PY 2011. All States are using energy audits or priority lists to determine the most cost-effective weatherization measures. - DOE weatherization created an average energy savings of $437 per household, reduced household annual annual consumption by 35% and returned savings of $1.80 per every $1 invested. Source(s): DOE, Weatherization and Intergovernmental

  1. Family Moderate Income Homeowners In New York State

    Broader source: Energy.gov [DOE]

    "Family Moderate Income Homeowners In New York State: Enhancing Resource Accessibility Through Process Improvement and Targeted Outreach," by Residential Energy Efficiency Solutions, July 10, 2012, Arlington, Virginia. Provides an overview of broadening accessibility to financing through process improvement and targeted outreach.

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

    Broader source: 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...

  3. Slide 1

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

    Need 3 Significant number of low-income customers. * 12% of families below federal poverty level. * 18% of households receive food stamps. * 34% have household incomes income...

  4. Effects of federal income taxes on the cash flow, operating revenue, and net income of electric utilities

    SciTech Connect (OSTI)

    Moore, J.T.

    1982-01-01

    The idea to do this research was suggested by the efforts of some consumer groups and others to seek passage of a law in the United States to exempt investor-owned electric utilities from federal income taxes. The goal of the consumer groups is to reduce the charges to utility customers (which is measured in this study by the amount of the operating revenues of the utilities) while not causing any harm to the utilities. The population of interest consisted of all investor-owned electric utilities included on a current Compustat utility tape. In the analysis of the data, the changes in cash flow, operating revenue, and net income were summarized by the 89 utilities as a total group and by the division of the utilities into smaller groups or combinations which used the same accounting methods during the test period. The results of this research suggest the following conclusions concerning the change to a situation in which electric utilities are not subject to federal income taxes: (1) as a group, the decrease in cash flow would be significant, (2) as a group, the decrease in operating revenue (charges to customers) would not be significant, (3) as a group, the increase in net income would be significant, and (4) in analyzing the effects of any financial adjustments or changes on electric utilities, the accounting policies used to the utilities are an important factor.

  5. Table 2.6 Household End Uses: Fuel Types, Appliances, and Electronics, Selected Years, 1978-2009

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

    6 Household End Uses: Fuel Types, Appliances, and Electronics, Selected Years, 1978-2009 Appliance Year Change 1978 1979 1980 1981 1982 1984 1987 1990 1993 1997 2001 2005 2009 1980 to 2009 Total Households (millions) 77 78 82 83 84 86 91 94 97 101 107 111 114 32 Percent of Households<//td> Space Heating - Main Fuel 1 Natural Gas 55 55 55 56 57 55 55 55 53 52 55 52 50 -5 Electricity 2 16 17 18 17 16 17 20 23 26 29 29 30 35 17 Liquefied Petroleum Gases 4 5 5 4 5 5 5 5 5 5 5 5 5 0 Distillate

  6. The importance of China's household sector for black carbon emissions - article no. L12708

    SciTech Connect (OSTI)

    Streets, D.G.; Aunan, K.

    2005-06-30

    The combustion of coal and biofuels in Chinese households is a large source of black carbon (BC), representing about 10-15% of total global emissions during the past two decades, depending on the year. How the Chinese household sector develops during the next 50 years will have an important bearing on future aerosol concentrations, because the range of possible outcomes (about 550 Gg yr{sup -1}) is greater than total BC emissions in either the United States or Europe (each about 400-500 Gg yr{sup -1}). In some Intergovernmental Panel on Climate Change scenarios biofuels persist in rural China for at least the next 50 years, whereas in other scenarios a transition to cleaner fuels and technologies effectively mitigates BC emissions. This paper discusses measures and policies that would help this transition and also raises the possibility of including BC emission reductions as a post-Kyoto option for China and other developing countries.

  7. Characterization of household hazardous waste from Marin County, California, and New Orleans, Louisiana

    SciTech Connect (OSTI)

    Rathje, W.L.; Wilson, D.C.; Lambou, V.W.; Herndon, R.C.

    1987-09-01

    There is a growing concern that certain constituents of common household products, that are discarded in residential garbage, may be potentially harmful to human health and the environment by adversely affecting the quality of ground and surface water. A survey of hazardous wastes in residential garbage from Marin County, California, and New Orleans, Louisiana, was conducted in order to determine the amount and characteristics of such wastes that are entering municipal landfills. The results of the survey indicate that approximately 642 metric tons of hazardous waste are discarded per year for the New Orleans study area and approximately 259 metric tons are discarded per year for the Marin County study area. Even though the percent of hazardous household waste in the garbage discarded in both study areas was less than 1%, it represents a significant quantity of hazardous waste because of the large volume of garbage involved.

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    SciTech Connect (OSTI)

    Cameron, M.

    1995-09-01

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

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

    Buildings Energy Data Book [EERE]

    0 2005 Average Energy Expenditures per Household Member and per Square Foot, by Weatherization Eligibility ($2010) Members/ Hhold Hhold Total U.S. Households 780 2.6 0.86 Federally Eligible 617 2.7 1.10 Federally Ineligible 844 2.5 0.82 Below 100% Poverty Line 603 2.7 1.14 Source(s): 1,442 EIA, 2005 Residential Energy Consumption Survey: Household Energy Consumption and Expenditures Tables, Oct. 2008, Table US1 part2; EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price

  11. Evaluating the income and employment impacts of gas cooling technologies

    SciTech Connect (OSTI)

    Hughes, P.J.; Laitner, S.

    1995-03-01

    The purpose of this study is to estimate the potential employment and income benefits of the emerging market for gas cooling products. The emphasis here is on exports because that is the major opportunity for the U.S. heating, ventilating, and air-conditioning (HVAC) industry. But domestic markets are also important and considered here because without a significant domestic market, it is unlikely that the plant investments, jobs, and income associated with gas cooling exports would be retained within the United States. The prospects for significant gas cooling exports appear promising for a variety of reasons. There is an expanding need for cooling in the developing world, natural gas is widely available, electric infrastructures are over-stressed in many areas, and the cost of building new gas infrastructure is modest compared to the cost of new electric infrastructure. Global gas cooling competition is currently limited, with Japanese and U.S. companies, and their foreign business partners, the only product sources. U.S. manufacturers of HVAC products are well positioned to compete globally, and are already one of the faster growing goods-exporting sectors of the U.S. economy. Net HVAC exports grew by over 800 percent from 1987 to 1992 and currently exceed $2.6 billion annually (ARI 1994). Net gas cooling job and income creation are estimated using an economic input-output model to compare a reference case to a gas cooling scenario. The reference case reflects current policies, practices, and trends with respect to conventional electric cooling technologies. The gas cooling scenario examines the impact of accelerated use of natural gas cooling technologies here and abroad.

  12. Wind Development Found to Increase County-Level Personal Income |

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

    Department of Energy This is an excerpt from the Fourth Quarter 2012 edition of the Wind Program R&D Newsletter. The U.S. Department of Energy's (DOE's) Lawrence Berkley National Laboratory and National Renewable Energy Laboratory (NREL) joined forces with the U.S. Department of Agriculture (USDA) to complete a first-of-its-kind study that quantifies the impact of wind energy development on county-level employment and personal income in the rural areas of the Great Plains and Rocky

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

    SciTech Connect (OSTI)

    Train, K.; Atherton, T.

    1994-11-01

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

  14. A structural analysis of natural gas consumption by income class from 1987 to 1993

    SciTech Connect (OSTI)

    Poyer, D.A.

    1996-12-01

    This study had two major objectives: (1) assess and compare changes in natural gas consumption between 1987 and 1993 by income group and (2) assess the potential influence of energy policy on observed changes in natural gas consumption over time and across income groups. This analysis used U.S. Department of Energy (DOE) data files and involved both the generation of simple descriptive statistics and the use of multivariate regression analysis. The consumption of natural gas by the groups was studied over a six-year period. The results showed that: (1) natural gas use was substantially higher for the highest income group than for the two lower income groups and (2) natural gas consumption declined for the lowest and middle income quintiles and increased for the highest income quintile between 1987 and 1990; between 1990 and 1993, consumption increased for the lowest and middle income quintile, but remained relatively constant for the highest income quintile. The relative importance of the structural and variable factors in explaining consumption changes between survey periods varies by income group. The analysis provides two major energy policy implications: (1) natural gas intensity has been the highest for the lowest income group, indicating that this group is more vulnerable to sudden changes in demand-indicator variables, in particular weather-related variables, than increase natural gas consumption, and (2) the fall in natural gas intensity between 1987 and 1993 may indicate that energy policy has had some impact on reducing natural gas consumption. 11 refs., 4 figs., 16 tabs.

  15. Household magnets

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

    Now which is stronger, gravity or magnetism? What is going on? How do flexible refrigerator magnets work? Get 2 of these magnets, they are often the size of a business card....

  16. EO 12898: Environmental Justice in Minority Populations and Low-Income

    Energy Savers [EERE]

    Populations (1994) | Department of Energy 2898: Environmental Justice in Minority Populations and Low-Income Populations (1994) EO 12898: Environmental Justice in Minority Populations and Low-Income Populations (1994) To focus Federal attention on the environmental and human health conditions in minority communities and low-income communities with the goal of achieving environmental justice. That order is also intended to promote nondiscrimination in Federal programs substantially affecting

  17. Table HC6.10 Home Appliances Usage Indicators by Number of Household Members, 2005

    Gasoline and Diesel Fuel Update (EIA)

    0 Home Appliances Usage Indicators by Number of Household Members, 2005 Total.............................................................................. 111.1 30.0 34.8 18.4 15.9 12.0 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day........................................... 8.2 1.4 1.9 1.4 1.0 2.4 2 Times A Day........................................................ 24.6 4.3 7.6 4.3 4.8 3.7 Once a Day............................................................ 42.3 9.9

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

    Gasoline and Diesel Fuel Update (EIA)

    1 Home Electronics Characteristics by Number of Household Members, 2005 Total...................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer ................... 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer................................ 75.6 13.8 25.4 14.4 13.2 8.8 Number of Desktop PCs 1.................................................................. 50.3 11.9 17.4 8.5 7.3 5.2

  19. Table HC6.12 Home Electronics Usage Indicators by Number of Household Members, 2005

    Gasoline and Diesel Fuel Update (EIA)

    2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total................................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer............................. 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer.......................................... 75.6 13.8 25.4 14.4 13.2 8.8 Most-Used Personal Computer Type of PC Desk-top Model.....................................................

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

    Gasoline and Diesel Fuel Update (EIA)

    2 Living Space Characteristics by Number of Household Members, 2005 Total...................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500............................................... 3.2 1.7 0.8 0.4 0.3 Q 500 to 999....................................................... 23.8 10.2 6.4 3.4 2.3 1.5 1,000 to 1,499................................................. 20.8 5.5 6.3 3.0 3.3 2.6 1,500 to

  1. Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005

    Gasoline and Diesel Fuel Update (EIA)

    7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total........................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Cooling Equipment.......................... 17.8 5.4 5.3 2.7 2.5 2.0 Have Cooling Equipment...................................... 93.3 24.6 29.6 15.7 13.4 10.0 Use Cooling Equipment....................................... 91.4 24.0 29.1 15.5 13.2 9.7 Have Equipment But Do Not Use it......................

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

    Gasoline and Diesel Fuel Update (EIA)

    HC6.9 Home Appliances Characteristics by Number of Household Members, 2005 Total U.S.............................................................. 111.1 30.0 34.8 18.4 15.9 12.0 Cooking Appliances Conventional Ovens Use an Oven.................................................. 109.6 29.5 34.4 18.2 15.7 11.8 1................................................................. 103.3 28.4 32.0 17.3 14.7 11.0 2 or More.................................................... 6.2 1.1 2.5 1.0 0.9 0.8 Do Not

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

    SciTech Connect (OSTI)

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

    1987-01-01

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

  4. Maldives-Program for Scaling Up Renewable Energy in Low Income...

    Open Energy Info (EERE)

    number of low income countries for energy efficiency, renewable energy and access to modern sustainable energy. The SREP stimulates economic growth through the scaled-up...

  5. Nepal-Program for Scaling Up Renewable Energy in Low Income Countries...

    Open Energy Info (EERE)

    number of low income countries for energy efficiency, renewable energy and access to modern sustainable energy. The SREP stimulates economic growth through the scaled-up...

  6. Honduras-Program for Scaling Up Renewable Energy in Low Income...

    Open Energy Info (EERE)

    number of low income countries for energy efficiency, renewable energy and access to modern sustainable energy. The SREP stimulates economic growth through the scaled-up...

  7. Kenya-Program for Scaling Up Renewable Energy in Low Income Countries...

    Open Energy Info (EERE)

    number of low income countries for energy efficiency, renewable energy and access to modern sustainable energy. The SREP stimulates economic growth through the scaled-up...

  8. Mali-Program for Scaling Up Renewable Energy in Low Income Countries...

    Open Energy Info (EERE)

    number of low income countries for energy efficiency, renewable energy and access to modern sustainable energy. The SREP stimulates economic growth through the scaled-up...

  9. California Solar Initiative- Low-Income Solar Water Heating Rebate Program

    Broader source: Energy.gov [DOE]

    The California Public Utilities Commission (CPUC) voted in October 2011 to create the California Solar Initiative (CSI) Thermal Low-Income program for single and multifamily residential properties....

  10. Tailored Marketing for Low-income and Under-Represented Population Segments (201)

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call Series: Tailored Marketing for Low-Income and Under-Represented Population Segments (201), call slides and discussion summary.

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

    SciTech Connect (OSTI)

    Dolealov, Markta; Beneov, Libue; Zvodsk, Anita

    2013-09-15

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

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

    SciTech Connect (OSTI)

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

    2015-10-01

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

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

    Gasoline and Diesel Fuel Update (EIA)

    4 Space Heating Characteristics by Number of Household Members, 2005 Total..................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Space Heating Equipment............ 1.2 0.3 0.3 Q 0.2 0.2 Have Main Space Heating Equipment............... 109.8 29.7 34.5 18.2 15.6 11.8 Use Main Space Heating Equipment................. 109.1 29.5 34.4 18.1 15.5 11.6 Have Equipment But Do Not Use It................... 0.8 Q Q Q Q Q Main Heating Fuel and

  14. Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005

    Gasoline and Diesel Fuel Update (EIA)

    5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005

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

    SciTech Connect (OSTI)

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

    1992-10-01

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

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

    U.S. 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" ...

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

    Energy Savers [EERE]

    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

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

    Energy Savers [EERE]

    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

  19. Oregon State Energy-Efficiency Appliance Rebate Program Helps Low-Income

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

    Families | Department of Energy Oregon State Energy-Efficiency Appliance Rebate Program Helps Low-Income Families Oregon State Energy-Efficiency Appliance Rebate Program Helps Low-Income Families April 16, 2013 - 12:00am Addthis The State Energy-Efficient Appliance Rebate Program (SEEARP) provides low-income Oregon homeowners with rebates on energy-efficient equipment. SEEARP began in January 2010 with a 70% reimbursement (up to $2,000) on ENERGY STAR® qualified heat pumps and furnaces. It

  20. Table 5.8. U.S. Vehicle Fuel Consumption by Family Income, 1994

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

    and 1994 Vehicle 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...

  1. EO 12898: Environmental Justice in Minority Populations and Low-Income Populations (1994)

    Broader source: Energy.gov [DOE]

    To focus Federal attention on the environmental and human health conditions in minority communities and low-income communities with the goal of achieving environmental justice. That order is also...

  2. New Hampshire Electric Co-Op- Low-Income Energy Assistance Grant Program

    Broader source: Energy.gov [DOE]

    The Energy Assistance Program is designed to help NHEC's income-qualified members manage energy use with the goal of lowering total energy costs. Qualified members living in an apartment or house,...

  3. Energy data report: Sales, Revenue, and Income of Electric Utilities. Monthly report, October 1981

    SciTech Connect (OSTI)

    Woods, T.F.

    1982-01-19

    This is the last issue of Sales, Revenue, and Income of Electric Utilities. The data contained in this report are being published in Section 10 of the Electric Power Monthly.

  4. Dual Integrated Appliances as an Energy and Safety Solution for Low Income

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

    Weatherization Webinar | Department of Energy Dual Integrated Appliances as an Energy and Safety Solution for Low Income Weatherization Webinar Dual Integrated Appliances as an Energy and Safety Solution for Low Income Weatherization Webinar Slides from the Building America webinar presented by the NorthernSTAR team. PDF icon webinar_northernstar_dual_appliances_20111019.pdf More Documents & Publications Building America Expert Meeting: Recommendations for Applying Water Heaters in

  5. WPN 10-15a: Guidance Regarding Accrual of Benefits to Low-Income Tenants in

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

    Multifamily Buildings Under the Weatherization Assistance Program | Department of Energy April 8, 2010 To issue guidance for Grantees on establishing procedures to ensure that the benefits of weatherization assistance in connection with multifamily buildings compromised of rental units will accrue primarily to the low-income tenants residing in such units. PDF icon WPN 10-15a: Guidance Regarding Accrual of Benefits to Low-Income Tenants in Multifamily Buildings Under the Weatherization

  6. SEED Initiative Aims to Increase Energy Education in Low-Income Communities

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

    | Department of Energy SEED Initiative Aims to Increase Energy Education in Low-Income Communities SEED Initiative Aims to Increase Energy Education in Low-Income Communities October 7, 2015 - 9:00am Addthis The SEED Coalition is inspiring young minds with STEM activities that teach energy literacy. Here students visit Washington, DC to tour the Smithsonian. The SEED Coalition is inspiring young minds with STEM activities that teach energy literacy. Here students visit Washington, DC to tour

  7. EO 12898: Environmental Justice in Minority Populations and Low-Income Populations

    Office of Environmental Management (EM)

    WHITE HOUSE WASHINGTON February 11, 1994 MEMORANDUM FOR THE HEADS OF ALL DEPARTMENTS AND AGENCIES SUBJECT: Executive Order on Federal Actions to Address Environmental Justice in Minority Populations and Low- Income Populations Today I have issued an Executive Order on Federal Actions to Address Environmental Justice in Minority Populations and Low-Income Populations. That order is designed to focus Federal attention on the environmental and human health conditions in minority communities and

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

    SciTech Connect (OSTI)

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

    1999-07-16

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

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

    SciTech Connect (OSTI)

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

    2012-10-15

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

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

    SciTech Connect (OSTI)

    Slagstad, Helene; Brattebo, Helge

    2012-07-15

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

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

    SciTech Connect (OSTI)

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

    2014-10-14

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

  12. Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region

    SciTech Connect (OSTI)

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

    1994-08-01

    The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

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

    SciTech Connect (OSTI)

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

    2013-01-15

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

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

    SciTech Connect (OSTI)

    Lebersorger, S.; Beigl, P.

    2011-09-15

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

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

    SciTech Connect (OSTI)

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

    2012-01-01

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

  16. Cost comparison between private and public collection of residual household waste: Multiple case studies in the Flemish region of Belgium

    SciTech Connect (OSTI)

    Jacobsen, R.; Buysse, J.; Gellynck, X.

    2013-01-15

    Highlights: Black-Right-Pointing-Pointer The goal is to compare collection costs for residual household waste. Black-Right-Pointing-Pointer We have clustered all municipalities in order to find mutual comparable pairs. Black-Right-Pointing-Pointer Each pair consists of one private and one public operating waste collection program. Black-Right-Pointing-Pointer All cases show that private service has lower costs than public service. Black-Right-Pointing-Pointer Municipalities were contacted to identify the deeper causes for the waste management program. - Abstract: The rising pressure in terms of cost efficiency on public services pushes governments to transfer part of those services to the private sector. A trend towards more privatizing can be noticed in the collection of municipal household waste. This paper reports the findings of a research project aiming to compare the cost between the service of private and public collection of residual household waste. Multiple case studies of municipalities about the Flemish region of Belgium were conducted. Data concerning the year 2009 were gathered through in-depth interviews in 2010. In total 12 municipalities were investigated, divided into three mutual comparable pairs with a weekly and three mutual comparable pairs with a fortnightly residual waste collection. The results give a rough indication that in all cases the cost of private service is lower than public service in the collection of household waste. Albeit that there is an interest in establishing whether there are differences in the costs and service levels between public and private waste collection services, there are clear difficulties in establishing comparisons that can be made without having to rely on a large number of assumptions and corrections. However, given the cost difference, it remains the responsibility of the municipalities to decide upon the service they offer their citizens, regardless the cost efficiency: public or private.

  17. A life cycle approach to the management of household food waste - A Swedish full-scale case study

    SciTech Connect (OSTI)

    Bernstad, A.; Cour Jansen, J. la

    2011-08-15

    Research Highlights: > The comparison of three different methods for management of household food waste show that anaerobic digestion provides greater environmental benefits in relation to global warming potential, acidification and ozone depilation compared to incineration and composting of food waste. Use of produced biogas as car fuel provides larger environmental benefits compared to a use of biogas for heat and power production. > The use of produced digestate from the anaerobic digestion as substitution for chemical fertilizer on farmland provides avoidance of environmental burdens in the same ratio as the substitution of fossil fuels with produced biogas. > Sensitivity analyses show that results are highly sensitive to assumptions regarding the environmental burdens connected to heat and energy supposedly substituted by the waste treatment. - Abstract: Environmental impacts from incineration, decentralised composting and centralised anaerobic digestion of solid organic household waste are compared using the EASEWASTE LCA-tool. The comparison is based on a full scale case study in southern Sweden and used input-data related to aspects such as source-separation behaviour, transport distances, etc. are site-specific. Results show that biological treatment methods - both anaerobic and aerobic, result in net avoidance of GHG-emissions, but give a larger contribution both to nutrient enrichment and acidification when compared to incineration. Results are to a high degree dependent on energy substitution and emissions during biological processes. It was seen that if it is assumed that produced biogas substitute electricity based on Danish coal power, this is preferable before use of biogas as car fuel. Use of biogas for Danish electricity substitution was also determined to be more beneficial compared to incineration of organic household waste. This is a result mainly of the use of plastic bags in the incineration alternative (compared to paper bags in the anaerobic) and the use of biofertiliser (digestate) from anaerobic treatment as substitution of chemical fertilisers used in an incineration alternative. Net impact related to GWP from the management chain varies from a contribution of 2.6 kg CO{sub 2}-eq/household and year if incineration is utilised, to an avoidance of 5.6 kg CO{sub 2}-eq/household and year if choosing anaerobic digestion and using produced biogas as car fuel. Impacts are often dependent on processes allocated far from the control of local decision-makers, indicating the importance of a holistic approach and extended collaboration between agents in the waste management chain.

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

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

    19, 2012 Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for Collecting Household Energy Data Call Slides and Discussion Summary Agenda * Call Logistics and Attendance  Is your program getting household energy data? How? * Program Experience and Lessons:  Janelle Beverly and Jeff Hughes, University of North Carolina Environmental Finance Center (http://www.efc.unc.edu/index.html) * Discussion:  What are successful strategies for obtaining

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

    Buildings Energy Data Book [EERE]

    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

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

    SciTech Connect (OSTI)

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

    1998-05-01

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

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

    Buildings Energy Data Book [EERE]

    1 Households Weatherized with ARRA Funds by Grantee (1) Grantee Grantee Alabama Nebraska Alaska Nevada Arizona New Hampshire Arkansas New Jersey California New Mexico Colorado New York Connecticut North Carolina Delaware North Dakota District of Columbia Ohio Florida Oklahoma Georgia Oregon Hawaii Pennsylvania Idaho Rhode Island Illinois South Carolina Indiana South Dakota Iowa Tennessee Kansas Texas Kentucky Utah Louisiana Vermont Maine Virginia Maryland Washington Massachusetts West Virginia

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

    Energy Savers [EERE]

    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

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

    Energy Savers [EERE]

    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

  4. Low-income energy policy in a restructuring electricity industry: an assessment of federal options

    SciTech Connect (OSTI)

    Baxter, L.W.

    1997-07-01

    This report identifies both the low-income energy services historically provided in the electricity industry and those services that may be affected by industry restructuring. It identifies policies that are being proposed or could be developed to address low- income electricity services in a restructured industry. It discusses potential federal policy options and identifies key policy and implementation issues that arise when considering these potential federal initiatives. To understand recent policy development at the state level, we reviewed restructuring proposals from eight states and the accompanying testimony and comments filed in restructuring proceedings in these states.

  5. Approaches to Electric Utility Energy Efficiency for Low Income Customers in a Changing Regulatory Environment

    SciTech Connect (OSTI)

    Brockway, N.

    2001-05-21

    As the electric industry goes through a transformation to a more market-driven model, traditional grounds for utility energy efficiency have come under fire, undermining the existing mechanisms to fund and deliver such services. The challenge, then, is to understand why the electric industry should sustain investments in helping low-income Americans use electricity efficiently, how such investments should be made, and how these policies can become part of the new electric industry structure. This report analyzes the opportunities and barriers to leveraging electric utility energy efficiency assistance to low-income customers during the transition of the electric industry to greater competition.

  6. Evaluation of DOE's Partnership in Low-Income Residential Retrofit (PILIRR) Program

    SciTech Connect (OSTI)

    Callaway, J.W.; Lee, A.D.

    1989-05-01

    In July 1986, the US Department of Energy (DOE) awarded competitive grants to five states to conduct pilot projects to establish partnerships and use resource leveraging to stimulate support for low-income residential energy retrofits. The projects were conducted under DOE's Partnerships in Low-Income Residential Retrofit (PILIRR) Program. These projects have been monitored and analyzed through a concurrent process evaluation conducted by the Pacific Northwest Laboratory (PNL). This study reports the findings of that evaluation. The overriding goal of the PILIRR Program was to determine whether the states could stimulate support for low-income residential energy improvements from non-federal sources. The goal for the process evaluation was to conduct an assessment of the processes used by the states and the extent to which they successfully established partnerships and leveraged resources. Five states were selected to participate in the program: Florida, Iowa, Kentucky, Oklahoma and Washington. Each state proposed a different approach to promote non-federal support for low-income residential weatherization. Three of the five states--Florida, Iowa, and Washington--established partnerships that led to retrofits during the monitoring period (October 1986--October 1988). Kentucky established its partnership during the monitoring period, but did not accomplish its retrofits until after monitoring was complete. Oklahoma completed development of its marketing program and had begun marketing efforts by the end of the monitoring period. 16 refs., 7 figs., 1 tab.

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

    SciTech Connect (OSTI)

    Bernstad, A.; Cour Jansen, J. la

    2012-05-15

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

  8. Executive Order 12898, Federal Actions to Address Environmental Justice in Minority and Low-Income Populations

    Office of Environmental Management (EM)

    Environmental Protection, Sustainability Support & Corporate Safety Analysis Sustainability Support Information Brief HS-21-IB-2012-28 (November 2012) 1 What is environmental justice? Environmental justice is defined as the "fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income with respect to the development, implementation, and enforcement of environmental laws, regulations, and policies. Fair treatment means that no group of

  9. Port Graham Biomass Community Heat Project

    Energy Savers [EERE]

    Sink, Chugachmiut Recipient Principal Investigator For Port Graham Village Council US Department of Energy Office of Indian Energy & Economic Development-May 5, 2015 Port Graham population of 177 (2010 Census) Southern tip of Kenai Peninsula, about 28-miles off the road system from Homer, Alaska, accessible by air or water only Unemployment rate 22%; 44.6% out of labor force; Median household income $18,942 Heat 5-community buildings with cord wood biomass heating system Displace

  10. Process for the utilization of household rubbish or garbage and other organic waste products for the production of methane gas

    SciTech Connect (OSTI)

    Hunziker, M.; Schildknecht, A.

    1985-04-16

    Non-organic substances are separated from household garbage and the organic substances are fed in proportioned manner into a mixing tank and converted into slurry by adding liquid. The slurry is crushed for homogenization purposes in a crushing means and passed into a closed holding container. It is then fed over a heat exchanger and heated to 55/sup 0/ to 60/sup 0/ C. The slurry passes into a plurality of reaction vessels in which the methane gas and carbon dioxide are produced. In a separating plant, the mixture of gaseous products is broken down into its components and some of the methane gas is recycled by bubbling it through both the holding tank and the reaction tank, the remainder being stored in gasholders. The organic substances are degraded much more rapidly through increasing the degradation temperature and as a result constructional expenditure can be reduced.

  11. Emissions of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans from the open burning of household waste in barrels

    SciTech Connect (OSTI)

    Lemieux, P.M.; Lutes, C.C.; Abbott, J.A.; Aldous, K.M.

    2000-02-01

    Backyard burning of household waste in barrels is a common waste disposal practice for which pollutant emissions have not been well characterized. This study measured the emissions of several pollutants, including polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDDs/PCDFs), from burning mixtures designed to simulate waste generated by a recycling and a nonrecycling family in a 208-L (55-gal) burn barrel at the EPA's Open Burning Test Facility. This paper focuses on the PCDD/PCDF emissions and discusses the factors influencing PCDD/PCDF formation for different test burns. Four test burns were made in which the amount of waste placed in the barrel varied from 6.4 to 13.6 kg and the amount actually burned varied from 46.6% to 68.1%. Emissions of total PCDDs/PCDFs ranged between 0.0046 and 0.48 mg/kg of waste burned. Emissions are also presented in terms of 2,3,7,8-TCDD toxic equivalents. Emissions of PCDDs/PCDFs appear to correlate with both copper and hydrochloric acid emissions. The results of this study indicate that backyard burning emits more PCDDs/PCDFs on a mass of refuse burned basis than various types of municipal waste combustors (MWCs). Comparison of burn barrel emissions to emissions from a hypothetical modern MWC equipped with high-efficiency flue gas cleaning technology indicates that about 2--40 households burning their trash daily in barrels can produce average PCDD/PCDF emissions comparable to a 182,000 kg/day (200 ton/day) MWC facility. This study provides important data on a potentially significant source of emissions of PCDDs/PCDFs.

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

    U.S. 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...

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

    Buildings Energy Data Book [EERE]

    7 Residential Energy Burdens, by Weatherization Eligibility and Year (1) 1987 Mean Mean Mean Mean Mdn Mean Mean Mdn Mean Group Indvdl Group Indvdl Indvdl Group Indvdl Indvdl Group Total U.S. Households 4.0% 6.8% 3.2% 6.1% 3.5% 2.4% 7.2% 4.4% 3.2% Federally Eligible 13.0% 14.4% 10.1% 12.1% 7.9% 7.7% 13.8% 9.6% 10.0% Federally Ineligible 4.0% 3.5% N.A. 3.0% 2.6% 2.0% 3.6% 3.1% 2.6% Below 125% Poverty Line 13.0% N.A. N.A. N.A. N.A. N.A. N.A. N.A. N.A. Note(s): Source(s): 1990 FY 2000 (2) FY 2009

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

    Buildings Energy Data Book [EERE]

    8 FY 2009 Residential Energy Burdens, by Region (1) Northeast South Midwest West Mean Mdn Mean Mean Mdn Mean Mean Mdn Mean Mean Mdn Mean Indvdl Indvdl Group Indvdl Indvdl Group Indvdl Indvdl Group Indvdl Indvdl Group Total U.S. Households 9.0% 5.4% 3.7% 7.7% 4.7% 3.4% 7.1% 4.4% 3.3% 4.9% 3.0% 2.4% Federally Eligible 16.0% 10.9% 11.9% 15.1% 10.1% 11.2% 13.3% 10.2% 10.3% 9.8% 6.3% 7.3% Federally Ineligible 4.4% 3.9% 3.0% 3.9% 3.4% 2.8% 3.5% 3.0% 2.7% 2.8% 2.3% 2.0% Note(s): Source(s): 1) Data are

  15. CNS donations help lower-income Appalachian families | Y-12 National

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

    Security Complex CNS donations help ... CNS donations help lower-income Appalachian families Posted: December 21, 2015 - 1:44pm Y-12 Historian and ADFAC board member Ray Smith (left) and Y-12 Site Manager Bill Tindal present Annie Cacheiro, ADFAC executive director, a donation from CNS. A year ago, the Aid to Distressed Families of Appalachian Counties', or ADFAC's, School Supply Program was able to serve a record breaking 2,808 children, providing necessary school supplies to students in 29

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

    Buildings Energy Data Book [EERE]

    5 Weatherization Program Facts - PY 2010 weatherization funding breakdown: DOE 18.3%, LIHEAP 59.6%, others 22.1%.(1) - The Federal Government's outlay for fuel subsidies runs from $4.0 to 4.4 billion per year. The major two agencies dispensing fuel subsidies are HUD and HHS (through LIHEAP). - In 2006, HUD spent over $1.43 billion annually to pay all or part of the total utility bills (including water/sewer) for 1.2 million low-income units. Utilities (including water) made up approximately 23%

  17. Microsoft Word - 20050821_Appendix_A.doc

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

    A9. U.S. Average Vehicle-Miles Traveled by Family Income and Poverty Status, 2001 (Thousand Miles per Household) ENERGY INFORMATION ADMINISTRATION HOUSEHOLD VEHICLES ENERGY USE:...

  18. Microsoft Word - 20050821_Appendix_A.doc

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

    0. U.S. Average Vehicle Fuel Consumption by Family Income and Poverty Status, 2001 (Gallons per Household) ENERGY INFORMATION ADMINISTRATION HOUSEHOLD VEHICLES ENERGY USE: LATEST...

  19. " Million U.S. Housing Units,...

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

    ,"Total U.S.1 (millions)",,,..."Below Poverty Line2" "Structural and Geographic ... the number of households below the poverty line, the annual household income and ...

  20. H. R. 1671: A bill to amend the Internal Revenue Code of 1986 with respect to the treatment of foreign oil and gas income, introduced in the House of Representatives, One Hundred Second Congress, First Session, April 9, 1991

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    The bill explains special rules for foreign tax credit with respect to foreign oil and gas income by amending the following sections: certain taxes not creditable; separate baskets for foreign oil and gas extraction income and foreign oil related income; and elimination of deferral for foreign oil and gas extraction income. The effective date would be December 31, 1991.

  1. Table 2.4 Household Energy Consumption by Census Region, Selected Years, 1978-2009 (Quadrillion Btu, Except as Noted)

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

    Household 1 Energy Consumption by Census Region, Selected Years, 1978-2009 (Quadrillion Btu, Except as Noted) Census Region 2 1978 1979 1980 1981 1982 1984 1987 1990 1993 1997 2001 2005 2009 United States Total (does not include wood) 10.56 9.74 9.32 9.29 8.58 9.04 9.13 9.22 10.01 10.25 9.86 10.55 10.18 Natural Gas 5.58 5.31 4.97 5.27 4.74 4.98 4.83 4.86 5.27 5.28 4.84 4.79 4.69 Electricity 3 2.47 2.42 2.48 2.42 2.35 2.48 2.76 3.03 3.28 3.54 3.89 4.35 4.39 Distillate Fuel Oil and Kerosene 2.19

  2. User interface in ORACLE for the Worldwide Household Goods Information System for Transportation Modernization (WHIST-MOD)

    SciTech Connect (OSTI)

    James, T. ); Loftis, J. )

    1990-07-01

    The Directorate of Personal Property of the Military Traffic Management Command (MTMC) requested that Oak Ridge National laboratory (ORNL) design a prototype decision support system, the Worldwide Household Goods Information System for Transportation Modernization (WHIST-MOD). This decision support system will automate current tasks and provide analysis tools for evaluating the Personal Property Program, predicting impacts to the program, and planning modifications to the program to meet the evolving needs of military service members and the transportation industry. The system designed by ORNL consists of three application modules: system dictionary applications, data acquisition and administration applications, and user applications. The development of the user applications module is divided into two phases. Round 1 is the data selection front-end interface, and Round 2 is the output or back-end interface. This report describes the prototyped front-end interface for the user application module. It discusses user requirements and the prototype design. The information contained in this report is the product of in-depth interviews with MTMC staff, prototype meetings with the users, and the research and design work conducted at ORNL. 18 figs., 2 tabs.

  3. b2.pdf

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

    Median

  4. Try This: Household Magnets

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

    Now which is stronger, gravity or magnetism? What is going on? How do flexible refrigerator magnets work? Get two of these magnets, they are often the size of a business card....

  5. Next Generation Household Refrigerator

    Broader source: Energy.gov [DOE]

    Lead Performer: Oak Ridge National Laboratory - Oak Ridge, TN Partner: Whirlpool - Benton Harbor, MI

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

    U.S. 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,"...

  7. Table 4

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

    0. Mean Annual Electricity Consumption for Lighting, by Family Income by Number of Rooms, 1993 (Kilowatthours) Number of Rooms Family Income Total Households One to Three Four Five...

  8. " Million Housing Units, Final...

    U.S. 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 ...

  9. TableHC7.1.xls

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

    ... 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 ...

  10. TableHC2.1.xls

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

    ... 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 ...

  11. " Million Housing Units, Final...

    U.S. 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 ...

  12. " Million Housing Units, Final...

    U.S. 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 ...

  13. " Million Housing Units, Final...

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

    "Income Relative to Poverty Line2" "Below 100 Percent",16.9,2.9,3.7,7... the number of households below the poverty line, the annual household income and ...

  14. " Million Housing Units, Final...

    U.S. 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 ...

  15. " Million Housing Units, Final...

    U.S. 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. 1997 Housing Characteristics Tables Housing Unit Tables

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

    ... RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  17. " Million Housing Units, Final...

    U.S. 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 ...

  18. " Million Housing Units, Final"

    U.S. 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 ...

  19. " Million Housing Units, Final...

    U.S. 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 ...

  20. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    0 Average Square Footage of Northeast Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Northeast",20.8,2121,1663,921,836,656,363 "Northeast Divisions and

  1. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Midwest",25.9,2272,1898,1372,912,762,551 "Midwest Divisions and

  2. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    2 Average Square Footage of South Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total South",42.1,1867,1637,1549,732,642,607 "South Divisions and

  3. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    3 Average Square Footage of West Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total West",24.8,1708,1374,800,628,506,294 "West Divisions and States"

  4. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    4 Average Square Footage of Single-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Single-Family",78.6,2422,2002,1522,880,727,553 "Census

  5. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    5 Average Square Footage of Multi-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Multi-Family",28.1,930,807,535,453,393,261 "Census Region"

  6. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    6 Average Square Footage of Mobile Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Mobile Homes",6.9,1087,985,746,413,375,283 "Census Region"

  7. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    9 Average Square Footage of U.S. Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total",113.6,1971,1644,1230,766,639,478 "Census Region"

  8. Integrating Photovoltaic Systems into Low-Income Housing Developments: A Case Study on the Creation of a New Residential Financing Model and Low-Income Resident Job Training Program, September 2011 (Brochure)

    SciTech Connect (OSTI)

    Dean, J.; Smith-Dreier, C.; Mekonnen, G.; Hawthorne, W.

    2011-09-01

    This case study covers the process of successfully integrating photovoltaic (PV) systems into a low-income housing development in northeast Denver, Colorado, focusing specifically on a new financing model and job training. The Northeast Denver Housing Center (NDHC), working in cooperation with Del Norte Neighborhood Development Corporation, Groundwork Denver, and the National Renewable Energy Laboratory (NREL), was able to finance the PV system installations by blending private equity funding with utility rebates, federal tax credits, and public sector funding. A grant provided by the Governor's Energy Office allowed for the creation of the new financing model. In addition, the program incorporated an innovative low-income job training program and an energy conservation incentive program.

  9. Executive Order 12898: Federal Actions to Address Environmental Justice in Minority Populations and Low-Income Populations (1994)

    Office of Environmental Management (EM)

    Documents Federal Register Vol. 59, No. 32 Wednesday, February 16, 1994 Title 3- The President Executive Order 12898 of February 11, 1994 Federal Actions To Address Environmental Justice in Minority Populations and Low-Income Populations By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered as follows: Section 1-1.Implementation. 1-101. Agency Responsibilities. To the greatest extent practicable and per- mitted by law,

  10. Design and Evaluation of a Net Zero Energy Low-Income Residential Housing Development in Lafayette, Colorado

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

    Design and Evaluation of a Net Zero Energy Low-Income Residential Housing Development in Lafayette, Colorado Jesse Dean and Otto VanGeet National Renewable Energy Laboratory Scott Simkus Boulder County Housing Authority Mark Eastment Mountain Energy Partnership Technical Report NREL/TP-7A40-51450 March 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable

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

    Gasoline and Diesel Fuel Update (EIA)

    Million U.S. Households; 13 pages, 52 kb) Contents Pages HC2-1a. Household Characteristics by Climate Zone, Million U.S. Households, 1997 2 HC2-2a. Household Characteristics by Year of Construction, Million U.S. Households, 1997 1 HC2-3a. Household Characteristics by Household Income, Million U.S. Households, 1997 1 HC2-4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 1997 1 HC2-5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S.

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

    Gasoline and Diesel Fuel Update (EIA)

    Percent of U.S. Households; 13 pages, 54 kb) Contents Pages HC2-1b. Household Characteristics by Climate Zone, Percent of U.S. Households, 1997 2 HC2-2b. Household Characteristics by Year of Construction, Percent of U.S. Households, 1997 1 HC2-3b. Household Characteristics by Household Income, Percent of U.S. Households, 1997 1 HC2-4b. Household Characteristics by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC2-5b. Household Characteristics by Type of Owner-Occupied Housing Unit,

  13. Better Buildings Neighborhood Program Multi-Family and Low Income Peer Exchange Call: Using Partnerships to Drive Demand and Provide Services in Communities, February 2, 2012

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

    Multi-Family and Low Income Peer Exchange Call: Using Partnerships to Drive Demand and Provide Services in Communities Agenda * Call Logistics and Attendance  What kind of partnerships does your program have for multi-family or low income outreach or service delivery? * Program Experience and Lessons:  Kelvin Keraga, NYSERDA, EmPower New York  Jeanine Otte, CNT Energy, Chicago  Rosemary Olsen, Community Development Corporation of Long Island, Long Island Green Homes * Discussion: 

  14. Lifeline electric rates and alternative approaches to the problems of low-income ratepayers. Ten case studies of implemented programs

    SciTech Connect (OSTI)

    Not Available

    1980-07-01

    Program summaries, issue developments, governmental processes, and impacts are discussed for 10 case studies dealing with lifeline electric rates and alternative approaches to the problems of low-income ratepayers, namely; the Boston Edison rate freeze; the California lifeline; Florida Power and Light conservation rate; the Iowa-Illinois Gas and Electric small-use rate; the Maine demonstration lifeline program; the Massachusetts Electric Company A-65 rate; the Michigan optional senior citizen rate; the Narragansett Electric Company A-65 SSI rate; the Northern States Power Company conservation rate break; and the Potomac Electric Power Company rate freeze. (MCW)

  15. The Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis

    SciTech Connect (OSTI)

    Eric Lantz

    2012-09-21

    To gain an understanding of the long-term county-level impacts from a large sample of wind power projects and to understand the potential significance of methodological criticisms, the U.S. Department of Agriculture, the Lawrence Berkeley National Laboratory, and the National Renewable Energy Laboratory recently joined efforts to complete a first-of-its-kind study that quantifies the annual impact on county-level personal income resulting from wind power installations in nearly 130 counties across 12 states. The results of this study as well as a comparison with the prior county-level estimates generated from input-output models, are summarized in the fact sheet.

  16. City-Level Energy Decision Making: Data Use in Energy Planning, Implementation, and Evaluation in U.S. Cities

    Broader source: Energy.gov [DOE]

    The report analyzes and presents information learned from a sample of 20 cities across the United States, from New York City to Park City, Utah, including a diverse sample of population size, utility type, region, annual greenhouse gas reduction targets, vehicle use, and median household income. The report compares climate, sustainability, and energy plans to better understand where cities are taking energy-related actions and how they are measuring impacts. Some common energy-related goals focus on reducing city-wide carbon emissions, improving energy efficiency across sectors, increasing renewable energy, and increasing biking and walking.

  17. WAP Memorandum 006 HHS LIHEAP Guidance

    Office of Environmental Management (EM)

    eligibility criteria between 110 percent of the Poverty Income Guidelines and the greater of 150 percent of the Poverty guidelines and 60 percent of State Median Income (SMI). ...

  18. The Impact of DOE Building Technology Energy Efficiency Programs on U.S. Employment, Income, and Investment

    SciTech Connect (OSTI)

    Scott, Michael J.; Roop, Joseph M.; Schultz, Robert W.; Anderson, Dave M.; Cort, Katherine A.

    2008-07-31

    To more fully evaluate its programs to increase the energy efficiency of the U.S. residential and commercial building stock, the U.S. Department of Energys Office of Energy Efficiency and Renewable Energy (EERE) assesses the macroeconomic impacts of those programs, specifically on national employment, wage income, and (most recently) investment. The analysis is conducted using the Impact of Sector Energy Technologies (ImSET) model, a special-purpose 188-sector input-output model of the U.S. economy designed specifically to evaluate the impacts of energy efficiency investments and saving. For the analysis described in the paper, ImSET was amended to provide estimates of sector-by-sector capital requirements and investment. In the scenario of the Fiscal Year (FY) 2005 Buildings Technology (BT) program, the technologies and building practices being developed and promoted by the BT program have the prospect of saving about 2.91015 Btu in buildings by the year 2030, about 27% of the expected growth in buildings energy consumption by the year 2030. The analysis reported in the paper finds that, by the year 2030, these savings have the potential to increase employment by up to 446,000 jobs, increase wage income by $7.8 billion, reduce needs for capital stock in the energy sector and closely related supporting industries by about $207 billion (and the corresponding annual level of investment by $13 billion), and create net capital savings that are available to grow the nations future economy.

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

    Gasoline and Diesel Fuel Update (EIA)

    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 |

  20. Yurok Tribe- 2005 Project

    Broader source: Energy.gov [DOE]

    The Yurok Tribe has a great need for improved energy services on the reservation. The members pay $328 per month per household on average for energy, with just a $9,000 median household income. The project will assess the need for energy efficiency services on the reservation, identify available resources, and develop an implementation plan for meeting these needs. With an unemployment rate of 42%, the job training component of this program will benefit the tribe. Past attempts have been made to provide energy efficiency and renewable energy maintenance services on the reservation, but many of these services have not endured because they were not tribe-driven. This project will build tribal expertise, increase awareness, and form collaborative relationships with local energy services.

  1. Project Reports for Yurok Tribe- 2005 Project

    Broader source: Energy.gov [DOE]

    The Yurok Tribe has a great need for improved energy services on the reservation. The members pay $328 per month per household on average for energy, with just a $9,000 median household income. The project will assess the need for energy efficiency services on the reservation, identify available resources, and develop an implementation plan for meeting these needs. With an unemployment rate of 42%, the job training component of this program will benefit the tribe. Past attempts have been made to provide energy efficiency and renewable energy maintenance services on the reservation, but many of these services have not endured because they were not tribe-driven. This project will build tribal expertise, increase awareness, and form collaborative relationships with local energy services.

  2. Characteristics RSE Column Factor: Households with Children Households...

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

    ... 7.6 2.1 3.3 2.2 11.5 Q Q Q 1.4 6.9 2.8 18.8 Below Poverty Line 100 Percent ... 6.6 1.6 3.6 1.3 5.8 0.3 0.7...

  3. Household Vehicles Energy Consumption 1991

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

    Matching: A model-based procedure used to impute for item nonresponse. This method uses logistic models to compute predicted means that are used to statistically match each...

  4. Household Vehicles Energy Consumption 1991

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

    were imputed as disposed vehicles. To impute vehicle stock changes in the 1991 RTECS, logistic regression equations were used to compute a predicted probability (or propensity)...

  5. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.2 1.1 1.4 1.3 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 6.9 11.4 6.7 6.1 1.6 1 .............................................................. 95.2 6.2 10.7 6.3 6.0 2.1 2 or More

  6. Household Vehicles Energy Consumption 1991

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

    production vehicles in order to assess compliance with Corporate Average Fuel Economy (CAFE) standards. The EPA Composite MPG is based on the assumption of a "typical" vehicle-use...

  7. Household Vehicles Energy Consumption 1991

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

    more fuel-efficient vehicles, and the implementation of Corporate Average Fuel Economy (CAFE) 6 standards. Figure 13. Average Fuel Efficiency of All Vehicles, by Model Year 6...

  8. Household Vehicles Energy Consumption 1991

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

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

  9. Household Vehicles Energy Consumption 1991

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

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

  10. Household Vehicles Energy Consumption 1991

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

    a comparison between the 1991 and previous years RTECS designs; (2) the sample design; (3) the data-collection procedures; (4) the Vehicle Identification Number (VIN); (5)...

  11. Household Vehicles Energy Consumption 1994

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

    DC, October 1995), Table DL-1B. 5. "Chained dollars" is a measure used to express real prices. Real prices are those that have been adjusted to remove the effect of changes...

  12. Household Vehicles Energy Consumption 1991

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

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

  13. spaceheat_household2001.pdf

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

    2001 Space Heating Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.5 1.1 1.0 1.2 1.6 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Heat Home .................................................... 106.0 7.1 12.0 7.7 6.2 NE Do Not Heat Home ....................................... 1.0 Q 0.3 Q 0.1 20.7 No Heating Equipment ................................ 0.5 Q 0.1 Q Q 41.3

  14. Review of water, lighting, and cooling energy efficiency measures for low-income homes located in warm climates

    SciTech Connect (OSTI)

    Martin, M.A.; Gettings, M.B.

    1998-02-01

    In support of the U.S. Department of Energy`s Weatherization Assistance Program, Oak Ridge National Laboratory has performed a literature review of weatherization measures applicable for homes located in warm climate regions. Sources for this information included: (1) documented engineering estimates, (2) vendor information, (3) reported performance from research and field tests, and (4) direct discussions with researchers, vendors, and field reporters. Estimated savings are extrapolated from reported energy savings and applied to the end-use energy consumption for low-income homes reported by the Energy Information Administration. Additionally, installation costs, savings-to-investment ratios, and parameters indicating performance sensitivity to issues such as occupancy, construction, client education, and maintenance requirements are presented. The report is comprised of two sections: (1) an overview of measure performance, and (2) an appendix. The overview of measures is in a tabular format, which allows for quick reference. More detailed discussions and references for each measure are presented in the Appendix and it is highly recommended that these be reviewed prior to measure selection.

  15. " Million Housing Units, Final...

    U.S. 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 ...

  16. " Million Housing Units, Final"

    U.S. 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. STEP Financial Incentives Summary

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

    ... have income no more than 200% of federal poverty level, (b) have a Pepco or BGE account, ... (a) have income no more than 200% of poverty level or 60% of state median income ...

  18. Better Buildings Neighborhood Program Multi-family/Low Income Peer Exchange Call: Tenant Education and Training Call Slides and Discussion Summary, July 28, 2011

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

    1 Better Buildings Neighborhood Program Multi-family/Low Income Peer Exchange Call: Tenant Education and Training Call Slides and Discussion Summary Agenda * Call Logistics and Attendance  What tenant education questions or needs do you have? * Tenant Education Resources and Program Experience:  Emily Mitchell, Enterprise Community Partners (ECP)  William Ho, ECP, Alameda County, CA * Grant Project Discussion: * What is your program doing? * How can tenant education complement other

  19. Better Buildings Residential Multifamily/Low-Income Peer Exchange Call Series: Outreach to Multifamily Landlords and Tenants Call Slides and Discussion Summary, May 8, 2014

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

    Multifamily/Low- Income Peer Exchange Call Series: Outreach to Multifamily Landlords and Tenants Call Slides and Discussion Summary May 8, 2014 Agenda  Call Logistics and Introductions  BBRN and Peer Exchange Call Overview  Featured Speakers  Dan Curry - Clean Energy Durham  Jaime Gomez and Brian Kennedy - Austin Energy  Discussion  What approaches have you tried to reach out to landlords? To reach out to tenants? What approaches were effective?  Did your organization try

  20. Better Buildings Residential Network Multi-Family/ Low Income Peer Exchange Call Series: Strengthening Relationships between Energy and Housing Programs, October 31, 2013

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

    Family/ Low Income Peer Exchange Call Series: Strengthening Relationships between Energy and Housing Programs October 31, 2013 Agenda  Call Logistics and Introductions  Discussion:  What are some examples of energy and housing programs working together?  What are the benefits of pursuing housing and energy goals simultaneously?  What strategies are there for strengthening the relationship between energy and housing programs?  Are there challenges with this approach?  Other

  1. Better Buildings Residential Network Multifamily & Low-Income Housing Peer Exchange Call Series: Cost-Effective Modeling and Savings Projections for Multifamily Projects

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

    Multifamily & Low-Income Housing Peer Exchange Call Series: Cost-Effective Modeling and Savings Projections for Multifamily Projects June 26, 2014 Call Slides and Discussion Summary Agenda  Welcome  Call Logistics and Introductions  Residential Network and Peer Exchange Call Overview  Featured Speakers:  Brian Kennedy, Austin Energy  Steve O'Malley, Vermont Energy Investment Corporation  Discussion:  What experience has your organization had with modeling, projecting

  2. Design and Evaluation of a Net Zero Energy Low-Income Residential Housing Development in Lafayette, Colorado

    SciTech Connect (OSTI)

    Dean, J.; VanGeet, O.; Simkus, S.; Eastment, M.

    2012-03-01

    This report outlines the lessons learned and sub-metered energy performance of an ultra low energy single family ranch home and duplex unit, called the Paradigm Pilot Project and presents the final design recommendations for a 153-unit net zero energy residential development called the Josephine Commons Project. Affordable housing development authorities throughout the United States continually struggle to find the most cost-effective pathway to provide quality, durable, and sustainable housing. The challenge for these authorities is to achieve the mission of delivering affordable housing at the lowest cost per square foot in environments that may be rural, urban, suburban, or within a designated redevelopment district. With the challenges the U.S. faces regarding energy, the environmental impacts of consumer use of fossil fuels and the increased focus on reducing greenhouse gas emissions, housing authorities are pursuing the goal of constructing affordable, energy efficient and sustainable housing at the lowest life-cycle cost of ownership. This report outlines the lessons learned and sub-metered energy performance of an ultra-low-energy single family ranch home and duplex unit, called the Paradigm Pilot Project and presents the final design recommendations for a 153-unit net zero energy residential development called the Josephine Commons Project. In addition to describing the results of the performance monitoring from the pilot project, this paper describes the recommended design process of (1) setting performance goals for energy efficiency and renewable energy on a life-cycle cost basis, (2) using an integrated, whole building design approach, and (3) incorporating systems-built housing, a green jobs training program, and renewable energy technologies into a replicable high performance, low-income housing project development model.

  3. Low Income Workgroup

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

    Heber SnoPUD Pat Didion Milton-Freewater Paul Rich ESG Rogelio Cortes MWVCAA 2 Sarah Moore BPA Sherrie Smith Community Energy Project Shawn Collins The Energy Project of...

  4. Low-Income Weatherization

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

    Expand Projects & Initiatives Finance & Rates Expand Finance & Rates Involvement & Outreach Expand Involvement & Outreach Doing Business Expand Doing Business...

  5. Detailed Income Statement Descriptions

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

    Program Description Sales Sales under the Transmission Rate Schedules Miscellaneous Revenue Sales that are not subject to Transmission rates schedules Inter-Business Unit...

  6. Saving Money by Saving Energy (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-09-01

    Fact sheet on weatherization program, Weatherization Works!, explaining eligible households, impact on low-income Americans and communities, funding, and production history.

  7. Weatherization and Intergovernmental FY 2016 Budget At-A-Glance

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

    implement sustainable energy policies and programs, and perform residential energy- efficiency retrofits in low-income households. WIP also designs and manages a broad portfolio ...

  8. Executive Summary

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

    then that increases local households' and businesses' ability to spend on other consumption. That consumption leads to more local sales, and in turn more income and payroll in...

  9. DHCD- Multifamily Energy Efficiency and Housing Affordability Program

    Broader source: Energy.gov [DOE]

    Maryland Department of Housing and Community Development (DHCD) provides several programs to increase energy efficiency of multifamily homes of low and moderate income households. These affordable...

  10. Better Buildings: Workforce: Spotlight on Fayette County, Pennsylvania...

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

    ... weatherization program to households with incomes greater than 200% above poverty level. ... existing efforts of its Pathways Out of Poverty 4 program, which offers introductory ...

  11. FAYETTE COUNTY TRAINS TOMORROW'S WORKFORCE | Department of Energy

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

    ... WHAT'S NEXT? Fayette County's low-income households (less than 200% of the federal poverty level) continue to receive energy efficiency improvements through the county's ...

  12. TableHC7.3.xls

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

    Income Relative to Poverty Line Below 100 Percent...... Below Poverty Line Eligible for Federal Assistance 1 80,000 or More Table HC7.3 Household ...

  13. U.S. Department of Energy, Energy Information Administration...

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

    VMT by Income","Table A9. U.S. Average Vehicle-Miles Traveled by Family Income and Poverty Status, 2001 (Thousand Miles per Household)" "Std Errors for A9","Relative Standard...

  14. U.S. Department of Energy, Energy Information Administration...

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

    by Income","Table A10. U.S. Average Vehicle Fuel Consumption by Family Income and Poverty Status, 2001 (Gallons per Household) " "Std Errors for A10","Relative Standard Errors...

  15. Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-09-01

    To gain an understanding of the long-term county-level impacts from a large sample of wind power projects and to understand the potential significance of methodological criticisms, the U.S. Department of Agriculture, the Lawrence Berkeley National Laboratory, and NREL recently joined efforts to complete a first-of-its-kind study that quantifies the annual impact on county-level personal income resulting from wind power installations in nearly 130 counties across 12 states. The results of this study, as well as a comparison with the prior county-level estimates generated from input-output models, are summarized here.

  16. Energy efficient low-income housing demonstration with Houston Habitat for Humanity. Final status report, October 1, 1995--September 30, 1997

    SciTech Connect (OSTI)

    1997-09-30

    Using DOE grant funds, the Alliance to Save Energy developed and managed an award-winning low-income housing demonstration in cooperation with Houston Habitat for Humanity at the 1996 and 1997 annual NAHB Builders Show in Houston, Texas. Using a unique group of over 30 national, state and local partners, the energy design of Houston Habitat houses was permanently upgraded to the Energy Star Homes Program threshold. Meeting Energy Star Homes Program criteria, the partner design team increased the level of efficiency approximately 30% over the 1992 Model Energy Code. This innovative design using commercially available materials added approximately $1,400 in cost-effective energy upgrades with an estimated payback of less than 8 years. The 30 public-private partners successfully demonstrated energy and resource efficient housing techniques to the 65,000 NAHB home show attendees and the over 3,000 Habitat affiliates. This project resulted in the Houston Habitat affiliate becoming the nation`s first low-income Energy Star Homes Program home builder. By the year 2000, Houston Habitat anticipates building over 500 homes to this new level of efficiency as well as set an example for other Habitat affiliates nationwide to follow. The 1997 demonstration house utilized an all-women volunteer builders team to construct a 3 bedroom home in Houston Habitat`s Woodglen Subdivision. Energy consumption was remotely metered by Texas A and M.

  17. spaceheat_percent2001.pdf

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

    Space Heating Tables (Percent of U.S. Households; 24 pages, 133 kb) Contents Pages HC3-1b. Space Heating by Climate Zone, Percent of U.S. Households, 2001 2 HC3-2b. Space Heating by Year of Construction, Percent of U.S. Households, 2001 2 HC3-3b. Space Heating by Household Income, Percent of U.S. Households, 2001 2 HC3-4b. Space Heating by Type of Housing Unit, Percent of U.S. Households, 2001 2 HC3-5b. Space Heating by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 2001 2

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

    Gasoline and Diesel Fuel Update (EIA)

    Space Heating Tables (Percent of U.S. Households; 24 pages, 85 kb) Contents Pages HC3-1b. Space Heating by Climate Zone, Percent of U.S. Households, 1997 2 HC3-2b. Space Heating by Year of Construction, Percent of U.S. Households, 1997 2 HC3-3b. Space Heating by Household Income, Percent of U.S. Households, 1997 2 HC3-4b. Space Heating by Type of Housing Unit, Percent of U.S. Households, 1997 2 HC3-5b. Space Heating by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 2

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

    Gasoline and Diesel Fuel Update (EIA)

    Million U.S. Households; 24 pages, 78 kb) Contents Pages HC4-1a. Air Conditioning by Climate Zone, Million U.S. Households, 1997 2 HC4-2a. Air Conditioning by Year of Construction, Million U.S. Households, 1997 2 HC4-3a. Air Conditioning by Household Income, Million U.S. Households, 1997 2 HC4-4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 1997 2 HC4-5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 1997 2 HC4-6a. Air Conditioning by

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

    Gasoline and Diesel Fuel Update (EIA)

    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

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

    Gasoline and Diesel Fuel Update (EIA)

    Million U.S. Households; 48 pages, 134 kb) Contents Pages HC6-1a. Usage Indicators by Climate Zone, Million U.S. Households, 1997 4 HC6-2a. Usage Indicators by Year of Construction, Million U.S. Households, 1997 4 HC6-3a. Usage Indicators by Household Income, Million U.S. Households, 1997 4 HC6-4a. Usage Indicators by Type of Housing Unit, Million U.S. Households, 1997 4 HC6-5a. Usage Indicators by Type of Owner-Occupied Housing Unit, Million U.S. Households, 1997 4 HC6-6a. Usage Indicators by

  2. H. R. 3516: A Bill to amend the Internal Revenue Code of 1954 to provide a refundable income tax credit for the recycling of hazardous wastes. Introduced in the House of Representatives, One Hundredth First Congress, First Session, October 24, 1989

    SciTech Connect (OSTI)

    Not Available

    1989-01-01

    H.R. 3516 is a bill to amend the Internal Revenue Code of 1954 to provide a refundable income tax credit for the recycling of hazardous wastes.

  3. Buildings Energy Data Book: 2.3 Residential Sector Expenditures

    Buildings Energy Data Book [EERE]

    4 2005 Average Household Expenditures as Percent of Annual Income, by Census Region ($2010) Item Energy (1) Shelter (2) Food Telephone, water and other public services Household supplies, furnishings and equipment (3) Transportation (4) Healthcare Education Personal taxes (5) Average Annual Expenditures Average Annual Income Note(s): Source(s): 1) Average household energy expenditures are calculated from the Residential Energy Consumption Survey (RECS), while average expenditures for other

  4. 1997 Housing Characteristics Tables Home Office Equipment Tables

    Gasoline and Diesel Fuel Update (EIA)

    Percent of U.S. Households; 13 pages, 48 kb) Contents Pages HC7-1b. Home Office Equipment by Climate Zone, Percent of U.S. Households, 1997 1 HC7-2b. Home Office Equipment by Year of Construction, Percent of U.S. Households, 1997 1 HC7-3b. Home Office Equipment by Household Income, Percent of U.S. Households, 1997 1 HC7-4b. Home Office Equipment by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC7-5b. Home Office Equipment by Type of Owner-Occupied Housing Unit, Percent of U.S.

  5. 1997 Housing Characteristics Tables Housing Unit Tables

    Gasoline and Diesel Fuel Update (EIA)

    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,

  6. 1997 Housing Characteristics Tables Housing Unit Tables

    Gasoline and Diesel Fuel Update (EIA)

    Percent of U.S. Households; 45 pages, 121 kb) Contents Pages HC1-1b. Housing Unit Characteristics by Climate Zone, Percent of U.S. Households, 1997 4 HC1-2b. Housing Unit Characteristics by Year of Construction, Percent of U.S. Households, 1997 4 HC1-3b. Housing Unit Characteristics by Household Income, Percent of U.S. Households, 1997 4 HC1-4b. Housing Unit Characteristics by Type of Housing Unit, Percent of U.S. Households, 1997 3 HC1-5b. Housing Unit Characteristics by Type of Owner-Occupied

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

    Gasoline and Diesel Fuel Update (EIA)

    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.

  8. TableHC9.3.xls

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

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

  9. Better Buildings Neighborhood Program Multi-family/ Low Income Peer Exchange Call: Information Technology Tools for Multi-family Building Programs Call Slides and Discussion Summary, March 15, 2012

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

    5, 2012 Better Buildings Neighborhood Program Multi-family/ Low Income Peer Exchange Call: Information Technology Tools for Multi-family Building Programs Call Slides and Discussion Summary Agenda * Call Logistics and Attendance  What information technology tools is your program using for project information, marketing, assessment, tracking or evaluation? What do you wish you had? * Program Experience and Lessons:  Heather Larson, StopWaste.org, Energy Upgrade California  Adam Palmer,

  10. Better Buildings Neighborhood Program Multi-family/Low Income Peer Exchange Call: Strategies to Address Split Incentives in Multi-family Buildings Call Slides and Discussion Summary, April 26, 2012

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

    26, 2012 Better Buildings Neighborhood Program Multi- family/Low Income Peer Exchange Call: Strategies to Address Split Incentives in Multi-family Buildings Call Slides and Discussion Summary Agenda * Call Logistics and Attendance  How are you working with owners and tenants on multi-family upgrades? * Program Experience and Lessons:  Michael Croston, Repower Bremerton * Discussion:  What are some of the key challenges for working with rental properties?  What are effective

  11. Better Buildings Residential Network Multifamily/ Low Income Peer Exchange Call Series: Trends in Multifamily Programs: Whats Working and Whats Challenging Call Slides and Discussion Summary, January 9, 2014

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

    Multifamily/ Low Income Peer Exchange Call Series: Trends in Multifamily Programs: What's Working and What's Challenging Call Slides and Discussion Summary January 9, 2014 Agenda  Call Logistics and Introductions  Featured Participants  Brian Kennedy (Austin Energy)  Faith Graham (MPower Oregon)  Discussion:  What strategies or approaches has your program used to build interest in multifamily energy efficiency? What has worked well, and why do you think it was effective? 

  12. Household Vehicles Energy Use: Latest Data & Trends

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

    C : Q U A L I T Y O F T H E D ATA APPENDIX C A P P E N D I X C QUALITY OF THE DATA INTRODUCTION This section discusses several issues relating to the quality of the National...

  13. Household Vehicles Energy Use: Latest Data & Trends

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

    E : C H R O N O L O G Y O F W O R L D O I L M A R K E T E V E N T S ENERGY INFORMATION ADMINISTRATIONHOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS 177 APPENDIX E A P P E N D...

  14. Model development for household waste prevention behaviour

    SciTech Connect (OSTI)

    Bortoleto, Ana Paula; Kurisu, Kiyo H.; Hanaki, Keisuke

    2012-12-15

    Highlights: Black-Right-Pointing-Pointer We model waste prevention behaviour using structure equation modelling. Black-Right-Pointing-Pointer We merge attitude-behaviour theories with wider models from environmental psychology. Black-Right-Pointing-Pointer Personal norms and perceived behaviour control are the main behaviour predictors. Black-Right-Pointing-Pointer Environmental concern, moral obligation and inconvenience are the main influence on the behaviour. Black-Right-Pointing-Pointer Waste prevention and recycling are different dimensions of waste management behaviour. - Abstract: Understanding waste prevention behaviour (WPB) could enable local governments and decision makers to design more-effective policies for reducing the amount of waste that is generated. By merging well-known attitude-behaviour theories with elements from wider models from environmental psychology, an extensive cognitive framework that provides new and valuable insights is developed for understanding the involvement of individuals in waste prevention. The results confirm the usefulness of the theory of planned behaviour and of Schwartz's altruistic behaviour model as bases for modelling participation in waste prevention. A more elaborate integrated model of prevention was shown to be necessary for the complete analysis of attitudinal aspects associated with waste prevention. A postal survey of 158 respondents provided empirical support for eight of 12 hypotheses. The proposed structural equation indicates that personal norms and perceived behaviour control are the main predictors and that, unlike the case of recycling, subjective norms have a weak influence on WPB. It also suggests that, since social norms have not presented a direct influence, WPB is likely to be influenced by a concern for the environment and the community as well by perceptions of moral obligation and inconvenience. Results also proved that recycling and waste prevention represent different dimensions of waste management behaviour requiring particular approaches to increase individuals' engagement in future policies.

  15. Household Vehicles Energy Use: Latest Data & Trends

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

    fuel, diesel motor fuel, electric, and natural gas, excluding propane because NHTSA's CAFE program does not track these vehicles. See Gasoline, Gasohol, Unleaded Gasoline, Leaded...

  16. Household Vehicles Energy Consumption 1994 - Appendix C

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

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

  17. Household Vehicles Energy Use: Latest Data & Trends

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

    vehicle type, and vehicle model year. "600" - represents a "match" based on EIA expert analysis using subject matter experience, in conjunction with past RTECS. Additionally,...

  18. Household Vehicles Energy Use: Latest Data & Trends

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

    Laboratory (ORNL), Engineering Science Technology Division, Center for Transportation Analysis. For 1,262 vehicles, the work conducted by ORNL did not result in a viable annual VMT...

  19. Household Vehicles Energy Use: Latest Data & Trends

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

    (EERE) program in the U.S. Department of Energy (DOE), Transportation Energy Data Book: Edition 24. Note: * a recession year. Estimates are displayed as rounded values....

  20. Household Vehicles Energy Use: Latest Data & Trends

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

    Federal Highway Administration. Accessed on the world-wide web at http:www.fhwa.dot.govenvironmentcmaqpgsamaq03cmaq1fig3.htm on July 11, 2005. ENERGY INFORMATION...

  1. Spatially assisted down-track median filter for GPR image post-processing

    DOE Patents [OSTI]

    Paglieroni, David W; Beer, N Reginald

    2014-10-07

    A method and system for detecting the presence of subsurface objects within a medium is provided. In some embodiments, the imaging and detection system operates in a multistatic mode to collect radar return signals generated by an array of transceiver antenna pairs that is positioned across the surface and that travels down the surface. The imaging and detection system pre-processes the return signal to suppress certain undesirable effects. The imaging and detection system then generates synthetic aperture radar images from real aperture radar images generated from the pre-processed return signal. The imaging and detection system then post-processes the synthetic aperture radar images to improve detection of subsurface objects. The imaging and detection system identifies peaks in the energy levels of the post-processed image frame, which indicates the presence of a subsurface object.

  2. Radiofrequency Ablation of Large Renal Angiomyolipoma: Median-Term Follow-Up

    SciTech Connect (OSTI)

    Gregory, S. M. Anderson, C. J.; Patel, U.

    2013-06-15

    Purpose. To study the feasibility of percutaneous radiofrequency ablation (RFA) of large angiomyolipomas (AMLs) using saline-cooled electrodes. Materials and Methods. Institutional Review Board approval for the study was received. Four patients (all female, age range 33-67 years) with large AMLs (maximal axis 6.1-32.4 cm) not suitable for embolotherapy or surgery consented to a trial of RFA. Procedures were performed under computerized tomographic guidance using 14G saline-infused electrodes. Two ablations (diameter 4-7 cm) were undertaken in each patient. Variables studied were technical success, treatment safety, alteration of tumor consistency, tumor size, effect on renal function, and medium-term freedom from haemorrhage. Results. All four patients underwent successful RFA without any intraprocedural complications. There has been no haemorrhage, or new renal specific symptom, during a minimum 48-month period, and normal renal function has been normal. On follow-up radiological imaging, the tumors have become fattier with involution of the soft-tissue elements (soft tissue-to-total tumor ratio decreased mean [range] of 0.26 [0.14-0.48] to 0.17 [0.04-0.34] U; p = 0.04 [paired Student t test]). Further evidence of treatment effect was the development of a capsule around the ablation zone, but there was no change in overall tumor volume (mean [range] 1,120 [118-2,845] to 1150 [90-3,013] ml; p = 1 [paired Student t test]). Conclusion. RFA of large AMLs is technically feasible using saline-infused electrodes. The soft-tissue elements decreased in volume; the tumors become fattier; and there has been no renal haemorrhage during a 48-month period.

  3. OpenEI:Projects/Geographic Pages/California: Energy Resources...

    Open Energy Info (EERE)

    Governor Jerry Brown Population (rank: 1) Household Income 61,021 (rank: 9) Equivalent URI DBpedia GeoNames ID 5332921 Coordinates 36.778261, -119.4179324 Loading map......

  4. Table 5.10. U.S. Average Vehicle Fuel Consumption by Family...

    U.S. 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...

  5. Microsoft Word - 20050821_Appendix_A.doc

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

    A8. U.S. Vehicle Fuel Consumption by Family Income and Poverty Status, 2001 (Billion Gallons) ENERGY INFORMATION ADMINISTRATION HOUSEHOLD VEHICLES ENERGY USE: LATEST A N D TRENDS...

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

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

    3 Lighting Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ... to 79,999","80,000 or More" "Lighting Usage Indicators" "Total U.S. Housing ...

  7. " Million Housing Units, Final...

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

    5 Water Heating in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ... to 119,999","120,000 or More" "Water Heating" "Total Homes",113.6,23.7,27.5,21....

  8. Training for Success in Las Cruces

    Broader source: Energy.gov [DOE]

    The Community Action Agency of Southern New Mexico (CAASNM) is one of many organizations working to weatherize low-income households across the country while also training workers so they can support their families.

  9. Total..........................................................

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

    ... Table HC7.4 Space Heating Characteristics by Household Income, 2005 Below Poverty Line ... Below Poverty Line Eligible for Federal Assistance 1 80,000 or More Space Heating ...

  10. TableHC7.13.xls

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

    ... Table HC7.13 Lighting Usage Indicators by Household Income, 2005 Below Poverty Line ... Below Poverty Line Eligible for Federal Assistance 1 Million U.S. Housing Units 2005 ...

  11. Total..........................................................

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

    ... Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line ... Below Poverty Line Eligible for Federal Assistance 1 40,000 to 59,999 60,000 to 79,999 ...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Buildings Energy Data Book: 2.3 Residential Sector Expenditures

    Buildings Energy Data Book [EERE]

    3 2005 Average Household Expenditures, by Census Region ($2010) Item Energy (1) Shelter (2) Food Telephone, water and other public services Household supplies, furnishings and equipment (3) Transportation (4) Healthcare Education Personal taxes (5) Other expenditures Average Annual Income Note(s): Source(s): 1) Average household energy expenditures are calculated from the Residential Energy Consumption Survey (RECS), while average expenditures for other categories are calculated from the

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

    Gasoline and Diesel Fuel Update (EIA)

    Percent of U.S. Households; 24 pages, 81 kb) Contents Pages HC4-1b. Air Conditioning by Climate Zone, Percent of U.S. Households, 1997 2 HC4-2b. Air Conditioning by Year of Construction, Percent of U.S. Households, 1997 2 HC4-3b. Air Conditioning by Household Income, Percent of U.S. Households, 1997 2 HC4-4b. Air Conditioning by Type of Housing Unit, Percent of U.S. Households, 1997 2 HC4-5b. Air Conditioning by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 2 HC4-6b. Air

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

    Gasoline and Diesel Fuel Update (EIA)

    Appliances Tables (Percent of U.S. Households; 48 pages, 144 kb) Contents Pages HC5-1b. Appliances by Climate Zone, Percent of U.S. Households, 1997 4 HC5-2b. Appliances by Year of Construction, Percent of U.S. Households, 1997 4 HC5-3b. Appliances by Household Income, Percent of U.S. Households, 1997 4 HC5-4b. Appliances by Type of Housing Unit, Percent of U.S. Households, 1997 4 HC5-5b. Appliances by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 4 HC5-6b. Appliances by

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

    Gasoline and Diesel Fuel Update (EIA)

    Percent of U.S. Households; 48 pages, 139 kb) Contents Pages HC6-1b. Usage Indicators by Climate Zone, Percent of U.S. Households, 1997 4 HC6-2b. Usage Indicators by Year of Construction, Percent of U.S. Households, 1997 4 HC6-3b. Usage Indicators by Household Income, Percent of U.S. Households, 1997 4 HC6-4b. Usage Indicators by Type of Housing Unit, Percent of U.S. Households, 1997 4 HC6-5b. Usage Indicators by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 4 HC6-6b.

  17. Increased energy prices: energy savings and equity aspects. Final report

    SciTech Connect (OSTI)

    Herendeen, R.A.

    1983-06-01

    A mathematical model has been developed which approximates the reduction in a household's total energy consumption in response to higher energy prices and different rebate schemes. This model is based on the assumption that energy consumption is a function of a household's real income, prices of different commodities and energy intensities. The amount of energy saved and the change in real expenditure of a household has been calculated for four tax rates; 50%, 100%, 224% and 400%, and five rebate schemes; one regressive, two progressive, one income distribution preserving and the flat per capita rebate. The results indicate that, for a given tax rate, the choice of rebate scheme does not significantly affect the amount of energy conserved by the households. However, the effect of different rebate schemes on a household's real expenditure could be dramatically different.

  18. Buildings Energy Data Book: 2.3 Residential Sector Expenditures

    Buildings Energy Data Book [EERE]

    5 2005 Households and Energy Expenditures, by Income Level ($2010) Energy Expenditures by Household Income Households (millions) Household Less than $10,000 9.9 9% $10,000 to $14,999 8.5 8% $15,000 to $19,999 8.4 8% $20,000 to $29,999 15.1 14% $30,000 to $39,999 13.6 12% $40,000 to $49,999 11.0 10% $50,000 to $74,999 19.8 18% $75,000 to $99,999 10.6 10% $100,000 or more 14.2 13% Total 111.1 100% Note(s): Source(s): 7% 1) See Table 2.3.15 for more on energy burdens. 2) A household is defined as a

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

    Gasoline and Diesel Fuel Update (EIA)

    b. Household Characteristics by Four Most Populated States, Percent of U.S. Households, 1997 Household Characteristics RSE Column Factor: Total Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.2 1.4 1.4 Total .............................................................. 100.0 100.0 100.0 100.0 100.0 0.0 1997 Household Income Category Less than $5,000 ......................................... 3.7 4.3 2.8 4.8 1.9 16.2 $5,000 to $9,999

  20. Low Income Energy Efficiency Workgroup Meeting #1

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

    Collett CSC WX (CPA for Linn and Benton Co.) in person Josh Warner BPA in person Kathy Grey EWEB in person Kathy L. Moore Umatilla ElectricHermiston by phone Ken Robinette South...

  1. Agricultural Biomass Income Tax Credit (Personal)

    Broader source: Energy.gov [DOE]

    The credit is effective for biomass originating between January 1, 2011, and January 1, 2020. The credit is worth $5 per wet ton. Eligible projects must apply to the Taxation and Revenue...

  2. Agricultural Biomass Income Tax Credit (Corporate)

    Broader source: Energy.gov [DOE]

    The credit is effective for biomass originating between January 1, 2011, and January 1, 2020. The credit is worth $5 per wet ton. Eligible projects must apply to the Taxation and Revenue...

  3. FOIA-INCOMING Request March 2009

    Energy Savers [EERE]

  4. Income Tax Deduction for Energy Efficiency Upgrades

    Broader source: Energy.gov [DOE]

    Customers should claim the deduction on forms from the Idaho State Tax Commission; contact the Idaho State Tax Commission for the most recent form.

  5. Targeting Contractors That Target Moderate Income Homeowners

    Broader source: Energy.gov [DOE]

    Provides an overview of the services provided by EGIA including business development webinars, a contractor exchange, and contractor recognition.

  6. Residential Renewable Energy Income Tax Credit

    Broader source: Energy.gov [DOE]

    The credit is available to any owner or tenant of residential property. For a newly constructed home, the credit is available to the original owner/occupant. Joint owners of a residential property...

  7. Incoming request from Carpenter.pdf

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

  8. LOW INCOME ENERGY EFFICIENCY PROGRAM OVERVIEW Background

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

    The reports include number of units (homes) served, as well as appliances installed. Demographic information is also provided, including the number of children, elderly, and tribal...

  9. LOW INCOME ENERGY EFFICIENCY PROGRAM OVERVIEW Background

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

    Forum guidelines used by BPA's utilities for determining cost effectiveness. Demographic information is also provided, including the number of children, elderly, and tribal...

  10. Progress Report Workgroup #3 Low Income

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

    have a long-standing working relationship with their local Community Action Program (CAP Agency). However, other Utilities have not worked closely with the CAP Agency that...

  11. Low Income Workgroup Meeting Notes Portland, Oregon

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

    Tri-cities, so the utility runs workshop ads out right after that first big bill. Has a prop house and Todd installs the entire kit. Funds come from public information budget...

  12. INCOMING DOCUMENT CONTROL FORM DOCUMENT DESCRIPTION ORGANIZATIO

    Office of Legacy Management (LM)

    AH 10 05 00 0; NEAHOOl) RESULTS OF 'I-HE RADIOLOGICAL SURV AT THE FORMER ORE STORAGE SITEi ... by MARTIN MARIETTA ENERGY SYSTEMS, I for the U.S. DEPARTMENT OF ENERGY under Contract No. ...

  13. " Million U.S. Housing Units"

    U.S. 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 ...

  14. " Million U.S. Housing Units"

    U.S. 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 ...

  15. Total..........................................................

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

    Income Relative to Poverty Line Below 100 Percent......1.3 1.2 0.8 0.4 1. Below 150 percent of poverty line or 60 percent of median State ...

  16. " Million U.S. Housing Units"

    U.S. 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 ...

  17. tablehc4.3.xls

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

    Income Relative to Poverty Line Below 100 Percent......0.3 1.0 1.6 Q 1. Below 150 percent of poverty line or 60 percent of median State ...

  18. " Million U.S. Housing Units"

    U.S. 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 ...

  19. " Million U.S. Housing Units"

    U.S. 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 ...

  20. " Million U.S. Housing Units"

    U.S. 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 ...

  1. tablehc6.3.xls

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

    Income Relative to Poverty Line Below 100 Percent......1.1 1.3 1.6 1.9 1. Below 150 percent of poverty line or 60 percent of median State ...

  2. tablehc3.3.xls

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

    Income Relative to Poverty Line Below 100 Percent......2.3 Q Q Q 0.4 1. Below 150 percent of poverty line or 60 percent of median State ...

  3. " Million U.S. Housing Units"

    U.S. 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 ...

  4. " Million U.S. Housing Units"

    U.S. 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 ...

  5. " Million U.S. Housing Units"

    U.S. 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 ...

  6. " Million U.S. Housing Units"

    U.S. 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 ...

  7. Tribal Nations and the United States

    Office of Environmental Management (EM)

    ... The percentage of Native peoples that lived in poverty in 2010. For the nation as a whole, ... About 32% of Natives are under the age of 18. INCOME HOUSING FAMILIES POVERTY MEDIAN AGE ...

  8. Household Vehicles Energy Use: Latest Data and Trends

    Reports and Publications (EIA)

    2005-01-01

    This report provides newly available national and regional data and analyzes the nation's energy use by light-duty vehicles. This release represents the analytical component of the report, with a data component having been released in early 2005.

  9. Special Topics on Energy Use in Household Transportation

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

    compare your estimate of your car's mpg to the average of everyone else who takes the test. (Released 04112000; Updated Yearly for Fuel Economies and Weekly for Fuel Prices)...

  10. EIA - Appendix B: Estimation Methodologies of Household Vehicles...

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

    production vehicles in order to assess compliance with Corporate Average Fuel Economy (CAFE) standards. The EPA Composite MPG is based on the assumption of a "typical" vehicle-use...

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

    Energy Savers [EERE]

    annual electricity savings of more than 5 million kilowatt-hours; estimated natural gas savings of 71,580 British therms; and 653,245 estimated annual cost savings. In New...

  12. Could a Common Household Fungus Reduce Oil Imports?

    Broader source: Energy.gov [DOE]

    Imagine if the same mold that ruins old grapes and onions could double as a key ingredient in the recipe to reduce U.S. dependence on foreign oil. Pacific Northwest National Laboratory are working to harness the natural process that spoils fruits and vegetables as a way to make fuel and other petroleum substitutes.

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

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

    starting up for next school year that challenges students to learn about energy, develop techniques for saving energy, and help their families save money on their energy bills. ...

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

    Broader source: Energy.gov [DOE]

    Eligible Better Buildings Residential Network members reported completing 27,563 home energy upgrades during 2013 as part of the Residential Network’s first reporting cycle. In addition, 13 Better...

  15. H. R. 1272: A Bill to amend the Internal Revenue Code of 1954 to provide a refundable income tax credit for the recycling of hazardous wastes, introduced in the House of Representatives, One Hundred Second Congress, First Session, March 5, 1991

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    This bill was introduced into the US House of Representatives on March 7, 1991 to amend the Internal Revenue Code of 1954 to provide a refundable income tax credit for the recycling of hazardous wastes. A credit of 2 cents is allowed for each pound of qualified hazardous waste recycled during the taxable year. To qualify as hazardous the waste must be listed by the EPA under section 3001 of the Solid Waste Act and is a waste product generated by the taxpayer in a trade or business.

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

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Minority Transportation Expenditure Allocation Model

    Energy Science and Technology Software Center (OSTI)

    1993-04-12

    MITRAM (Minority TRansportation expenditure Allocation Model) can project various transportation related attributes of minority (Black and Hispanic) and majority (white) populations. The model projects vehicle ownership, vehicle miles of travel, workers, new car and on-road fleet fuel economy, amount and share of household income spent on gasoline, and household expenditures on public transportation and taxis. MITRAM predicts reactions to sustained fuel price changes for up to 10 years after the change.

  18. Buildings Energy Data Book: 2.6 Residential Home Improvement

    Buildings Energy Data Book [EERE]

    7 2009 Home Improvement Spending by Household Income ($2010) Income Under $40,000 $40-79,999 $80-119,999 120,000 and Over Note(s): Source(s): 13,005 4,097 16,531 67,731 Home improvements include room additions, remodeling, replacements of household systems and appliances, porches and garages, additions and replacements of roofing, siding, window/doors, insulation, flooring/paneling/ceiling, and disaster repairs. Joint Center for Housing Studies of Harvard University, A New Decade of Growth for

  19. Cascade Apartments - Deep Energy Multifamily Retrofit , Kent, Washington (Fact Sheet), Building America Case Study: Whole-House Solutions for New Homes, Building Technologies Office (BTO)

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

    Cascade Apartments - Deep Energy Multifamily Retrofit Kent, Washington PROJECT INFORMATION Construction: Retrofit Type: Multifamily, affordable Builder: King County Housing Authority, Kent, Washington http://www.kcha.org/ Size: 108 units in 27 four-plexes Rent: 30% of household income Date completed: 2010 Climate Zone: Marine PERFORMANCE DATA State low-income weatherization investment: $385,850 for all 108 units $15,850 per 4-plex $3,858 per unit Site savings per unit: Billing analysis:

  20. N.C. Agency Growing, Helping Citizens Save Money

    Broader source: Energy.gov [DOE]

    MCCA runs a hybrid program in the state that has expanded energy efficiency services to municipalities and made advanced-income households eligible for weatherization, and this work helped prepare the agency for the workload it is seeing now under the Recovery Act.

  1. Study of energy tax and rebate schemes: energy conservation and the question of equity

    SciTech Connect (OSTI)

    Fazel Sarjui, F.

    1983-01-01

    Taxing all kinds of primary energy at the wellhead on a $/Btu basis is suggested. This aims at inducing energy conservation throughout the economic system. To reduce the financial pressure of the tax on consumers, especially the poor, tax revenues could be rebated to households. It has been attempted to design an equitable rebate scheme. A mathematical model was developed that approximates the reduction in a household's total energy consumption in response to higher energy prices and different rebate schemes. This model is based on the assumption that energy consumption is a function of a household's real income, prices of different commodities, and energy intensities. The amount of energy saved and the change in real expenditure of a household was calculated for four tax rates; 50%, 100%, 224% and 400%, and five rebate schemes; one regressive, two progressive, one income distribution preserving and the flat per-capita rebate. The results indicate that, for a given tax rate, the choice of rebate scheme does not significantly affect the amount of energy conserved by the households. However, the effectof different rebate schemes on a household's real expenditure could be dramatically different.

  2. Income Tax Credit Carryover (Colorado) | Open Energy Information

    Open Energy Info (EERE)

    Applicable Sector Commercial, Residential Eligible Technologies Solar Thermal Electric, Photovoltaics, Landfill Gas, Wind, Biomass, Hydroelectric, Geothermal Electric, Anaerobic...

  3. Better Buildings Residential Network Multi-Family & Low-Income...

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

    ... Windows Exterior Doors Appliances DSM free * * * * * * * incentive from local utility w be 1,600 incentive from program w be 1,500 Initial Program * Program - Tiered ...

  4. Better Buildings Program San Jose -- Serving Moderate Income...

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

    components and goals, including the whole neighborhood approach pilot which aims to streamline participant, contractor, and administration processes for neighborhood retrofitting...

  5. Workgroup 3: Directing EEI to Low Income Name Affiliation Co...

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

    Tacoma Power Jess Kincaid Oregon Dept. of Energy Jim Dolan Pacific County PUD Kathy Grey EWEB Keith Kueny Capo Keith Lockheart Springfield Utility Board Ken J. Robinette South...

  6. Minnesota Energy Resources (Gas) - Low-Income New Construction...

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

    State Minnesota Program Type Rebate Program Rebate Amount Gas Furnace: 500 Integrated Space and Water Heating System: 900 Electronic Programmable Set-Back...

  7. Waste Heat Utilization System Income Tax Deduction (Personal)

    Office of Energy Efficiency and Renewable Energy (EERE)

    Waste heat utilization system means facilities and equipment for the recovery of waste heat generated in the process of generating electricity and the use of such heat to generate additional elec...

  8. Waste Heat Utilization System Income Tax Deduction (Corporate)

    Office of Energy Efficiency and Renewable Energy (EERE)

    Waste heat utilization system means facilities and equipment for the recovery of waste heat generated in the process of generating electricity and the use of such heat to generate additional elec...

  9. Students can gain valuable work experience and income at Los...

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

    internship opportunities this summer and in some cases throughout the year. But Scott Robbins, team leader for the Laboratory's Student Programs office, already is getting ready...

  10. Better Buildings Neighborhood Program Multi-family/Low Income...

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

    ... that has tools to do Audits, Quality Control on Audits to Contracting and ... Customers from Audits to Upgrades * Using Social Media for Outreach * Working with the ...

  11. Better Buildings Low Income Peer Exchange CallFeaturing: Case...

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

    to execute the work? * Have to address shutdownsbudgetagency personnel issues? ... Rebate product pilot (interest from Multi-Family Peer Exchange) - How to merge ...

  12. Better Buildings Residential Network Multifamily & Low-Income...

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

    ... Overcome Split Incentive TenantLandlord Issues 11 1. Challenge 2. Model 3. ... ESCO model and too complex for the single-family programs * Give property owners the ...

  13. Measurement and Verification of Low Income Energy Efficiency...

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentmeasurement-and-verification-low-inco Language: English Policies: "Regulations,Financial Incentives" is not in the list of possible...

  14. Better Buildings Neighborhood Program Multi-family and Low Income...

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

    in this sector? How are they different than other multi-family buildings? What strategies are effective? 242013 2 Participating Programs and Organizations Programs: *...

  15. Better Buildings Neighborhood Program, BetterBuildings Low Income...

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

    San Jose - launched * The program already has connections to the target community so there is not a lot of emphasis on trying to establish the program "brand". * Messaging emphasis ...

  16. Microsoft Word - Incoming FOI from Grando dated July 23 2015...

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

    1 of 2 Freedom Of Information Act Electronic FOIA Request Detail Request Number: 20150723101304808 Name: Carl Grando Organization: Mr. Address: Country: United States Phone...

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

    Gasoline and Diesel Fuel Update (EIA)

    1997 Household Characteristics RSE Column Factor: Total Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.2 1.4 1.4 Total .............................................................. 101.5 6.8 11.5 7.0 5.9 NF 1997 Household Income Category Less than $5,000 ......................................... 3.8 0.3 0.3 0.3 0.1 16.2 $5,000 to $9,999 ......................................... 9.6 0.9 1.1 0.6 0.7 14.2 $10,000 to $14,999

  18. Tax reform and energy in the Philippines economy: A general equilibrium computation

    SciTech Connect (OSTI)

    Boyd, R.G.; Doroodian, K.; Udomvaech, P.

    1994-12-31

    This paper examines how energy tax cuts, offset with income tax increases, affect production, consumption, and total welfare in the Philippines economy. Our results show that energy tax cuts expand the energy and nonmetal mining sectors, but decrease output in the manufacturing, agricultural, and metal mining sectors. Consumption of all goods and services combined increases as the amount of energy tax reduction increases. Our welfare results, however, are mixed. While the welfare of the mid- and high-income levels increases, that of the lowest income level decreases. These results are robust with respect to changes in the elasticity of substitution in energy production as well as the elasticity of substitution in consumer demand. From the standpoint of economic efficiency, a policy such as this would enhance growth and aggregate income. From an equity standpoint, however, this policy is highly regressive in spite of the fact that the richest households pay proportionately more to finance the energy tax reduction. 18 refs., 10 tabs.

  19. Residential Buildings Historical Publications reports, data and...

    Gasoline and Diesel Fuel Update (EIA)

    ... Below Poverty Line 100 Percent 11.8 7.9 13.1 35 21 23.6 9 784 0.47 527 191 125 Percent ... for 1987. (3) Below 150 percent of poverty line or 60 percent of median State income. ...

  20. Residential Buildings Historical Publications reports, data and...

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

    ... Below Poverty Line 100 Percent 13.7 9.8 16.7 132 77 94.6 32 1,349 0.79 969 325 125 Percent ... for 1984. (4) Below 150 percent of poverty line or 60 percent of median State income. ...

  1. Residential Buildings Historical Publications reports, data and...

    Gasoline and Diesel Fuel Update (EIA)

    ... Below Poverty Line 100 Percent 1.6 1.6 1.9 40 35 39.8 14 340 0.30 339 119 125 Percent 2.5 ... for 1987. (3) Below 150 percent of poverty line or 60 percent of median State income. ...

  2. oil1984.xls

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

    ... Below Poverty Line 100 Percent 2.6 1.8 3.3 98 53 69.1 24 745 0.40 525 186 125 Percent 3.7 ... for 1984. (3) Below 150 percent of poverty line or 60 percent of median State income. ...

  3. Residential Buildings Historical Publications reports, data and...

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

    ... Below Poverty Line 100 Percent 13.2 9.1 16.1 116 65 80.1 28 1,346 0.76 928 323 125 Percent ... for 1990. (3) Below 150 percent of poverty line or 60 percent of median State income. ...

  4. Residential Buildings Historical Publications reports, data and...

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

    ... Below Poverty Line 100 Percent 13.2 9.1 16.1 116 65 80.1 28 1,347 0.76 928 323 125 Percent ... for 1990. (4) Below 150 percent of poverty line or 60 percent of median State income. ...

  5. Residential Buildings Historical Publications reports, data and...

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

    ... Below Poverty Line 100 Percent 13.7 9.8 16.7 33 20 24.0 8 719 0.42 515 173 125 Percent ... for 1984. (3) Below 150 percent of poverty line or 60 percent of median State income. ...

  6. Residential Buildings Historical Publications reports, data and...

    Gasoline and Diesel Fuel Update (EIA)

    ... Below Poverty Line 100 Percent 11.8 7.9 13.1 133 80 89.3 32 1,345 0.81 904 327 125 Percent ... for 1987. (4) Below 150 percent of poverty line or 60 percent of median State income. ...

  7. Residential Buildings Historical Publications reports, data and...

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

    ... Below Poverty Line 100 Percent 8.1 5.2 9.6 139 75 89.1 29 806 0.43 517 166 125 Percent ... for 1984. (3) Below 150 percent of poverty line or 60 percent of median State income. ...

  8. Table 5.17. U.S. Number of Households by Vehicle Fuel Expenditures...

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

    More ... 8.2 Q 1.7 1.9 1.7 2.6 6.1 2.0 Q Q Q 16.7 Below Poverty Line 100 Percent ... 9.0 2.5 3.6 1.3 1.0 0.6 Q...

  9. Table 5.2. U.S. per Household Vehicle-Miles Traveled, Vehicle...

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

    75,000 or More ... 8.2 2.3 28.5 1,443 1,692 5.2 Below Poverty Line 100 Percent ... 9.0 1.4 14.7 769 890 7.3 125...

  10. Table 5.12. U.S. Average Vehicle-Miles Traveled by Household...

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

    ... 30.8 25.1 28.9 42.6 27.1 Q Q Q 25.2 31.8 23.3 13.7 Below Poverty Line 100 Percent ... 16.6 15.4 16.2 19.5 12.8 Q...

  11. Table 5.18. U.S. Average Household and Vehicle Energy Expenditures...

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

    ... 8.5 3,447 0.3 1,676 8.2 3,519 1,827 1,692 8.6 Below Poverty Line 100 Percent ... 14.7 1,600 5.7 935 9.0 2,022...

  12. Householder's Perceptions of Insulation Adequacy and Drafts in the Home in 2001

    Reports and Publications (EIA)

    2004-01-01

    In order to improve the estimation of end-use heating consumption, the Energy Information Administration's (EIA), 2001 Residential Energy Consumption Survey (RECS), for the first time, asked respondents to judge how drafty they perceived their homes to be as a measure of insulation quality.

  13. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own...

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

    Trends in the United States and its Major Metropolitan Area, 1960-1990, Cambridge, MA, 1994, p. 2-2. 2000 data - U.S. Bureau of the Census, American Fact Finder, ...

  14. EERE Success Story-Kingston Creek Hydro Project Powers 100 Households...

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

    The Kingston Creek Project-benefitting the Young Brothers Ranch-is a 175-kilowatt hydro generation plant on private land that takes advantage of an existing stream and power line. ...

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

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

    ...ff",43.6,6.3,11.7,9.6,6.5,9.5,4.3,11.9 "Manually Put into Sleep Mode",19.4,1.9,3.6,4.4,2.9,6.6,1.2,3.7 "CPU Goes to Sleep When PC is Left On" "Yes",9.1,1,1.8,1.7,1.2,3.3,0.7,1.8 ...

  16. Table 2.5 Household Energy Consumption and Expenditures by End...

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

    Year Space Heating Air Conditioning Water Heating Appliances, 2 Electronics, and Lighting Natural Gas Elec- tricity 3 Fuel Oil 4 LPG 5 Total Electricity 3 Natural Gas Elec- tricity ...

  17. Electricity storage for grid-connected household dwellings with PV panels

    SciTech Connect (OSTI)

    Mulder, Grietus; Six, Daan; Ridder, Fjo De

    2010-07-15

    Classically electricity storage for PV panels is mostly designed for stand-alone applications. In contrast, we focus in this article on houses connected to the grid with a small-scale storage to store a part of the solar power for postponed consumption within the day or the next days. In this way the house owner becomes less dependent on the grid and does only pay for the net shortage of his energy production. Local storage solutions pave the way for many new applications like omitting over-voltage of the line and bridging periods of power-line black-out. Since 2009 using self-consumption of PV energy is publicly encouraged in Germany, which can be realised by electric storage. This paper develops methods to determine the optimal storage size for grid-connected dwellings with PV panels. From measurements in houses we were able to establish calculation rules for sizing the storage. Two situations for electricity storage are covered: - the storage system is an optimum to cover most of the electricity needs; - it is an optimum for covering the peak power need of a dwelling. After these calculation rules a second step is needed to determine the size of the real battery. The article treats the aspects that should be taken into consideration before buying a specific battery like lead-acid and lithium-ion batteries. (author)

  18. Lubricant return comparison of naphthenic and polyol ester oils in R-134a household refrigeration applications

    SciTech Connect (OSTI)

    Reyes-Gavilan, J.L.; Flak, G.T.; Tritcak, T.R.

    1996-12-31

    This paper presents mineral oils and polyol esters as possible lubricant options for domestic refrigeration applications employing R-134a as the heat exchange fluid. A performance comparison, based on data presented, is made between the mineral oils and polyol esters evaluated. To more closely examine lubricant return with N-70 and R-134a and ensure that the oil is not contributing to any deterioration in efficiency due to its accumulation in evaporators, a special test unit was designed with a difficult oil return configuration and its performance carefully monitored. Oil return with a hydrofluorocarbon-miscible polyol ester, R-133-O was also evaluated in this setup and its performance results compared to those obtained with the naphthenic refrigeration oil.

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

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

    Sources: U.S. Department of Transportation, Federal Highway Administration, 1990 Nationwide Personal Transportation Survey: Summary of Travel Trends, FHWA-PL-92-027, Washington, ...

  20. Average U.S. household to spend $710 less on gasoline during...

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

    in 2015 U.S. electric power producers are increasing their use of natural gas and burning less coal for generating electricity. In its new forecast, the U.S. Energy Information ...

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

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

    1980-2009 February 2015 Independent Statistics & ... DC 20585 U.S. Energy Information Administration | Drivers ... 9 Total electricity ......

  2. Average U.S. household to spend $710 less on gasoline during 2015

    Gasoline and Diesel Fuel Update (EIA)

    drivers to see big savings at the gasoline pump this summer U.S. consumers are expected to pay the lowest average price for gasoline in six years during this summer's driving season, mostly because of lower crude oil costs. In its new forecast, the U.S. Energy Information Administration said the price for regular gasoline should average $2.45 per gallon this summer. That's down more than a dollar from the $3.59 per gallon seen last summer, and the cheapest average summer pump price since 2009.

  3. Average U.S. household to spend $710 less on gasoline during 2015

    Gasoline and Diesel Fuel Update (EIA)

    natural gas inventories at end of winter higher than last year Despite recent cold temperatures in some parts of the country, U.S. natural gas inventories ended the winter heating season in better shape than last year. In its new forecast, the U.S. Energy Information Administration said natural gas inventories near the end of March were 75% higher compared with the same period in 2014. That sets up adequate supplies for gas-fired power plants this summer to meet electric cooling needs of

  4. Low-cost household paint abatement to reduce children's blood lead levels

    SciTech Connect (OSTI)

    Taha, T.; Kanarek, M.S.; Schultz, B.D.; Murphy, A.

    1999-11-01

    The purpose was to examine the effectiveness of low-cost abatement on children's blood lead levels. Blood lead was analyzed before and after abatement in 37 homes of children under 7 years old with initial blood lead levels of 25--44 {micro}g/dL. Ninety-five percent of homes were built before 1950. Abatement methods used were wet-scraping and repainting deteriorated surfaces and wrapping window wells with aluminum or vinyl. A control group was retrospectively selected. Control children were under 7 years old, had initial blood lead levels of 25--44 {micro}g/dL and a follow-up level at least 28 days afterward, and did not have abatements performed in their homes between blood lead levels. After abatement, statistically significant declines occurred in the intervention children's blood lead levels. The mean decline was 22%, 1 to 6 months after treatment. After adjustment for seasonality and child's age, the mean decline was 6.0 {micro}g/dL, or 18%. The control children's blood levels did not decline significantly. There was a mean decline of 0.25 {micro}g/dL, or 0.39%. After adjustment for seasonality and age, the mean decline for control children was 1.6 {micro}g/dL, or 1.8%. Low-cost abatement and education are effective short-term interim controls.

  5. Evaluating the biogas potential of the dry fraction from pretreatment of food waste from households

    SciTech Connect (OSTI)

    Murto, Marika; Bjrnsson, Lovisa; Rosqvist, Hkan; Bohn, Irene

    2013-05-15

    Highlights: ? A novel approach for biogas production from a waste fraction that today is incinerated. ? Biogas production is possible in spite of the impurities of the waste. ? Tracer studies are applied in a novel way. ? Structural material is needed to improve the flow pattern of the waste. ? We provide a solution to biological treatment for the complex waste fraction. - Abstract: At the waste handling company NSR, Helsingborg, Sweden, the food waste fraction of source separated municipal solid waste is pretreated to obtain a liquid fraction, which is used for biogas production, and a dry fraction, which is at present incinerated. This pretreatment and separation is performed to remove impurities, however also some of the organic material is removed. The possibility of realising the methane potential of the dry fraction through batch-wise dry anaerobic digestion was investigated. The anaerobic digestion technique used was a two-stage process consisting of a static leach bed reactor and a methane reactor. Treatment of the dry fraction alone and in a mixture with structural material was tested to investigate the effect on the porosity of the leach bed. A tracer experiment was carried out to investigate the liquid flow through the leach beds, and this method proved useful in demonstrating a more homogenous flow through the leach bed when structural material was added. Addition of structural material to the dry fraction was needed to achieve a functional digestion process. A methane yield of 98 m{sup 3}/ton was obtained from the dry fraction mixed with structural material after 76 days of digestion. This was in the same range as obtained in the laboratory scale biochemical methane potential test, showing that it was possible to extract the organic content in the dry fraction in this type of dry digestion system for the production of methane.

  6. Examination Report: OAS-RA-13-03 | Department of Energy

    Energy Savers [EERE]

    3 Examination Report: OAS-RA-13-03 October 17, 2012 Community Action Partnership of Orange County - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 As part of the American Recovery and Reinvestment Act of 2009 (Recovery Act), the Weatherization Assistance Program (Weatherization Program) received $5 billion to reduce energy consumption for low-income households through energy efficient upgrades. The State of California received $186 million

  7. Examination Report: OAS-RA-13-05 | Department of Energy

    Energy Savers [EERE]

    5 Examination Report: OAS-RA-13-05 January 17, 2013 Prince George's County Department of Housing and Community Development - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 As part of the American Recovery and Reinvestment Act of 2009 (Recovery Act) the Weatherization Assistance Program (Weatherization Program) received $5 billion to reduce energy consumption for low-income households through energy efficient upgrades. The State of Maryland

  8. Examination Report: OAS-RA-13-06 | Department of Energy

    Energy Savers [EERE]

    6 Examination Report: OAS-RA-13-06 January 17, 2013 Montgomery County Department of Housing and Community Affairs - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 As part of the American Recovery and Reinvestment Act of 2009 (Recovery Act) the Weatherization Assistance Program (Weatherization Program) received $5 billion to reduce energy consumption for low-income households through energy efficient upgrades. The State of Maryland (State)

  9. Examination Report: OAS-RA-13-11 | Department of Energy

    Energy Savers [EERE]

    1 Examination Report: OAS-RA-13-11 February 19, 2013 Fresno County Economic Opportunities Commission Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 As part of the American Recovery and Reinvestment Act of 2009 (Recovery Act) the Weatherization Assistance Program (Weatherization Program) received $5 billion to reduce energy consumption for low-income households through energy efficient upgrades. The State of California received $186 million

  10. DOE F 1510.9 | Department of Energy

    Energy Savers [EERE]

    10.9 DOE F 1510.9 Form is used to gather information pertaining to travel required for a change of duty station. Asks for information about dependents, household goods, real estate, and relocation income tax allowance. PDF icon REQUEST AND AUTHORIZATION FOR OFFICIAL TRAVEL (Change of Station) More Documents & Publications FAQ: Relocation Expenses Handbook on Overseas Assignments Manager's Desk Reference on Human Capital Management Flexibilities

  11. Examination Report: OAS-RA-13-03 | Department of Energy

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

    Examination Report: OAS-RA-13-03 » Examination Report: OAS-RA-13-03 Examination Report: OAS-RA-13-03 October 17, 2012 Community Action Partnership of Orange County - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 As part of the American Recovery and Reinvestment Act of 2009 (Recovery Act), the Weatherization Assistance Program (Weatherization Program) received $5 billion to reduce energy consumption for low-income households through energy

  12. EcoHouse Program Overview | Department of Energy

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

    EcoHouse Program Overview EcoHouse Program Overview Provides an overview of the Indianapolis Better Buildings program, the EcoHouse program, and Indianapolis Neighborhood Housing partnership (INHP). PDF icon EcoHouse Program Overview More Documents & Publications Loan Programs for Low- and Moderate-Income Households Strengthening Relationships Between Energy Programs and Housing Programs The Better Buildings Neighborhood View -- April 2012

  13. San Jose, California | Department of Energy

    Energy Savers [EERE]

    California San Jose, California Better Buildings Program San Jose Location: Hillview-TOCKNA community in San Jose, California Seed Funding: $750,000-a portion of Los Angeles County's $30 million funding Target Building Types: Residential (single-family) Learn More: Read program design story View Presentations: Residential Energy Efficiency Solutions Conference San Jose Leverages Partnerships to Improve Low-Income Households' Energy Efficiency Since May 2011, Better Buildings Program San Jose

  14. PROGRAM REACHES DIVERSE NORTH CAROLINA COMMUNITY | Department of Energy

    Energy Savers [EERE]

    PROGRAM REACHES DIVERSE NORTH CAROLINA COMMUNITY PROGRAM REACHES DIVERSE NORTH CAROLINA COMMUNITY PROGRAM REACHES DIVERSE NORTH CAROLINA COMMUNITY The City of Greensboro, North Carolina, sought to reach a diverse community with energy efficiency improvements through the BetterBuildings for Greensboro Program. While all residential and commercial property owners in the city were eligible to participate, the program especially targeted households with low to moderate incomes by offering tailored

  15. Examination Report: OAS-RA-13-17 | Department of Energy

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

    7 Examination Report: OAS-RA-13-17 March 28, 2013 Community Action Partnership of San Bernardino County - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 As part of the American Recovery and Reinvestment Act of 2009 (Recovery Act), the Weatherization Assistance Program (Weatherization Program) received $5 billion to reduce energy consumption for low-income households through energy efficient upgrades. The State of California received $186

  16. Examination Report: OAS-RA-13-18 | Department of Energy

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

    8 Examination Report: OAS-RA-13-18 April 18, 2013 Travis County Health & Human Services and Veterans Services Weatherization Assistance Program Funds Provided by the ARRA of 2009 As part of the American Recovery and Reinvestment Act of 2009 (Recovery Act), the Weatherization Assistance Program (Weatherization Program) received $5 billion to reduce energy consumption for low-income households through energy efficient upgrades. The State of Texas received $327 million in Weatherization Program

  17. Examination Report: OAS-RA-13-30 | Department of Energy

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

    Examination Report: OAS-RA-13-30 Examination Report: OAS-RA-13-30 September 19, 2013 Alamo Area Council of Governments - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 As part of the American Recovery and Reinvestment Act of 2009 (Recovery Act), the Weatherization Assistance Program (Weatherization Program) received $5 billion to reduce energy consumption for low-income households through energy efficient upgrades. The State of Texas

  18. The 1986 residential occupant survey

    SciTech Connect (OSTI)

    Ivey, D.L.; Alley, P.K.

    1987-04-01

    In 1986, Pacific Northwest Laboratory developed the Residential Occupant Survey-Spring '86, which was implemented. The overall purpose of the study was to collect demographic, attitudinal, and behavioral data related to the use and conservation of electricity in dwellings participating in the Bonneville Power Administration's End-Use Load and Conservation Assessment Program (ELCAP). Information was collected on the respondents' perceptions of the energy efficiency of their dwelling, temperature the dwelling was kept when people were at home and awake during the last heating season, which rooms, if any, were not heated during the last heating season, number of times the dwelling was unoccupied for at least one week, number of times pets were let out of the dwelling per day, attitudes toward energy use and conservation and several socio-demographic variables such as age, sex, and total household income. The results of the data analyses showed age to be an important factor for reported indoor temperature and perceived energy efficiency of the dwelling. The results also showed that almost 60% of the ELCAP occupants do not heat one or more rooms during the heating season, and almost 45% of the ELCAP dwellings were unoccupied for at least one week during the reporting period. In terms of the reported allocation of household income for household energy expenses, the results showed that the reported dollar amount spent for the expenses remained relatively constant over income levels.

  19. New York State 2009 NHTS Comparison Report

    SciTech Connect (OSTI)

    Southworth, Frank; Reuscher, Tim; Hwang, Ho-Ling

    2012-06-01

    The U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel, with the most recent surveys being the 1995 Nationwide Personal Transportation Survey (NPTS) and the 2001 and 2009 National Household Travel Surveys (NHTS). The primary objective of these surveys is to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the socio-economic and demographic characteristics of the traveler and his/her household can be established. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State, NYDOT procured an additional sample of households in the 1995, 2001, and 2009 surveys. The comparisons drawn in this report compare the results from these NYS sampled households to the results from households drawn for the rest of the nation. Many of the differences between NYC counties and others in the state result from the striking differences in private vehicle ownership levels, with less than one in two NYC drivers and only 64% of NYC households owning a vehicle in 2009: versus 9 out of 10 drivers owning a vehicle, and between 1.5 and 2 vehicles owned per household, on the average, in the state's other metro areas. And this situation has changed very little over the past fourteen years covered by the three latest NPTS/NHTS surveys. While households in metro areas outside NYC do not own a vehicle largely due to income constraints, many households in NYC/Manhattan do not own a vehicle by choice. However, the statistics suggest that the mobility of zero-vehicle households in NYC/Manhattan is by no means deterred by the lack of a vehicle. While the private vehicle tripmaking rate of NYC residents was between one half and one third that in the state's other metro areas, and their daily VMT about half that of other metro areas, most of their daily travel needs were met by walking or by public transit. As a result, their daily trip-making rates remain consistent with those of vehicle-owning households when all modes of travel are considered. This again indicates that owning a vehicle or being a driver in NYC was less important for meeting a household's mobility needs than anywhere else in NYS. The high levels of public transit usage within NYC replace a great deal of automobile use, and this plus greater use of walk trips results in significantly lower travel generated carbon dioxide emissions per household in NYC than elsewhere in the state. In contrast, the comparatively limited level of public transit ridership in the state's smaller and medium sized metro areas places a much greater reliance on the privately owned vehicle, be it an automobile or the increasingly popular SUV.

  20. Electricity Demand of PHEVs Operated by Private Households and Commercial Fleets: Effects of Driving and Charging Behavior

    SciTech Connect (OSTI)

    John Smart; Matthew Shirk; Ken Kurani; Casey Quinn; Jamie Davies

    2010-11-01

    Automotive and energy researchers have made considerable efforts to predict the impact of plug-in hybrid vehicle (PHEV) charging on the electrical grid. This work has been done primarily through computer modeling and simulation. The US Department of Energys (DOE) Advanced Vehicle Testing Activity (AVTA), in partnership with the University of California at Daviss Institute for Transportation Stuides, have been collecting data from a diverse fleet of PHEVs. The AVTA is conducted by the Idaho National Laboratory for DOEs Vehicle Technologies Program. This work provides the opportunity to quantify the petroleum displacement potential of early PHEV models, and also observe, rather than simulate, the charging behavior of vehicle users. This paper presents actual charging behavior and the resulting electricity demand from these PHEVs operating in undirected, real-world conditions. Charging patterns are examined for both commercial-use and personal-use vehicles. Underlying reasons for charging behavior in both groups are also presented.