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Sample records for household total energy

  1. 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....

  2. 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...

  3. 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...

  4. 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) . . . . . . . . ....

  5. 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 ...

  6. 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 *...

  7. 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...

  8. 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...

  9. Microsoft Word - Household Energy Use CA

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

    US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 ... households use 62 million Btu of energy per home, 31% less than the U.S. average. ...

  10. Household energy consumption and expenditures, 1990

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

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

  11. 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.

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

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

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

  13. 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

  14. Household energy consumption and expenditures, 1987

    SciTech Connect (OSTI)

    Not Available

    1989-10-10

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

  15. 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...

  16. 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...

  17. 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...

  18. 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.

  19. Next Generation Household Refrigerator | Department of Energy

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

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

  20. Parallel Total Energy

    Energy Science and Technology Software Center (OSTI)

    2004-10-21

    This is a total energy electronic structure code using Local Density Approximation (LDA) of the density funtional theory. It uses the plane wave as the wave function basis set. It can sue both the norm conserving pseudopotentials and the ultra soft pseudopotentials. It can relax the atomic positions according to the total energy. It is a parallel code using MP1.

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

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

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

  2. Household energy consumption and expenditures 1987

    SciTech Connect (OSTI)

    Not Available

    1990-01-22

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

  3. 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)

  4. Determinants of Household Use of Selected Energy Star Appliances

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

    Determinants of Household Use of Selected Energy Star Appliances May 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Determinants of Household Use of Selected Energy Star Appliances i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of

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

    SciTech Connect (OSTI)

    Guerin, D.A.

    1988-01-01

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

  6. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    Teotia, A.; Poyer, D.

    1991-01-01

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

  7. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    Teotia, A.; Poyer, D.

    1991-12-31

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

  8. 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....

  9. Household Vehicles Energy Consumption 1994 - Appendix C

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

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

  10. 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...

  11. 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...

  12. 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.

  13. 2009 Total Energy Production by State | Department of Energy

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

    Total Energy Production by State 2009 Total Energy Production by State 2009 Total Energy Production by State...

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

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

    This is equivalent to an average annual growth of 1.1% and 1.8%, respectively. As a result, the aggregate energy intensity per household and per square foot declined by 24.2% and ...

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

    Energy Savers [EERE]

    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

  16. 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.

  17. 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.

  18. 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.

  19. Total Eolica | Open Energy Information

    Open Energy Info (EERE)

    Eolica Jump to: navigation, search Name: Total Eolica Place: Spain Product: Project developer References: Total Eolica1 This article is a stub. You can help OpenEI by expanding...

  20. Total Energy Facilities Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    Energy Facilities Biomass Facility Jump to: navigation, search Name Total Energy Facilities Biomass Facility Facility Total Energy Facilities Sector Biomass Facility Type...

  1. 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.

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

    Broader source: Energy.gov [DOE]

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

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

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

    Drivers of U.S. Household Energy Consumption, 1980-2009 February 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Drivers of U.S. Household Energy Consumption, 1980-2009 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any

  4. 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.

  5. National Fuel Cell and Hydrogen Energy Overview: Total Energy...

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

    Presentation by Sunita Satyapal at the Total Energy USA 2012 meeting in Houston, Texas, on November 27, 2012. PDF icon National Fuel Cell and Hydrogen Energy Overview More ...

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

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

    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. ...

  7. 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.

  8. TENESOL formerly known as TOTAL ENERGIE | Open Energy Information

    Open Energy Info (EERE)

    search Name: TENESOL (formerly known as TOTAL ENERGIE) Place: la Tour de Salvagny, France Zip: 69890 Sector: Solar Product: Makes polycrystalline silicon modules, and PV-based...

  9. 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.

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

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

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

  11. "Table A28. Total Expenditures for Purchased Energy Sources...

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

    Total Expenditures for Purchased Energy Sources by Census Region" " and Economic ... "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity...

  12. Total Energy - U.S. Energy Information Administration (EIA)

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

    Total Energy Glossary › FAQS › Overview Data Monthly Annual Analysis & Projections Major Topics Most popular Annual Monthly Projections Recurring U.S. States All reports Browse by Tag Alphabetical Frequency Tag Cloud Current Issues & Trends See more › EIA's Annual Energy Outlook is a projection, not a prediction forecastenergy EIA projects 48% increase in world energy consumption by 2040 natural gasliquid fuelsconsumptioncoalforecastrenewablenuclearenergyInternational Energy

  13. 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.

  14. Achieving Total Employee Engagement in Energy Efficiency

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

    ... Manufacturing Engineering Business Development Partnerships with Internal ... the Energy Champion is to: Instill a culture of energy conservation within their ...

  15. usage_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 ...

  16. housingunit_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 ...

  17. 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 ...

  18. 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 ...

  19. 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.

  20. Trends in Commercial Buildings--Total Primary Energy Detail

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

    Energy Consumption and Graph Total Primary Energy Consumption Graph Detail and Data Table 1979 to 1992 primary consumption trend with 95% confidence ranges 1979 to 1992 primary...

  1. Trends in Commercial Buildings--Total Site Energy Detail

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

    Energy Consumption and Graph Total Site Energy Consumption Graph Detail and Data Table 1979 to 1992 site consumption trend with 95% confidence ranges 1979 to 1992 site...

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

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

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

  3. Achieving Total Employee Engagement in Energy Efficiency

    Broader source: Energy.gov [DOE]

    Ratheon and GM share their experiences with employee engagement to achieve energy efficiency and sustainability goals in this presentation.

  4. EQUUS Total Return Inc | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: EQUUS Total Return Inc Place: Houston, Texas Product: A business development company and VC investor that trades as a closed-end fund. EQUUS is...

  5. Compare All CBECS Activities: Total Energy Use

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

    are more likely to contain specialized, high energy-consuming equipment-food service (cooking and ventilation equipment), inpatient health care (medical equipment), and food sales...

  6. 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.

  7. National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 |

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

    Department of Energy and Hydrogen Energy Overview: Total Energy USA 2012 National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 Presentation by Sunita Satyapal at the Total Energy USA 2012 meeting in Houston, Texas, on November 27, 2012. PDF icon National Fuel Cell and Hydrogen Energy Overview More Documents & Publications U.S. Department of Energy Fuel Cell Activities: Progress and Future Directions: Total Energy USA 2012 Hydrogen and Fuel Cell Activities: 5th

  8. 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

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

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

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5

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

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

    6. Total Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ...

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

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

    5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units ...

  12. Total

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

    Cell shipments Total Inventory, start-of-year 328,658 Manufactured during reporting year ... Table 5. Source and disposition of photovoltaic cell shipments, 2013 (peak kilowatts) ...

  13. 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.

  14. Total............................................................

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

    Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592

  15. The impact of rising energy prices on household energy consumption and expenditure patterns: The Persian Gulf crisis as a case example

    SciTech Connect (OSTI)

    Henderson, L.J. ); Poyer, D.A.; Teotia, A.P.S. . Energy Systems Div.)

    1992-09-01

    The Iraqi invasion of Kuwait and the subsequent war between Iraq and an international alliance led by the United States triggered immediate increases in world oil prices. Increases in world petroleum prices and in US petroleum imports resulted in higher petroleum prices for US customers. In this report, the effects of the Persian Gulf War and its aftermath are used to demonstrate the potential impacts of petroleum price changes on majority, black, and Hispanic households, as well as on poor and nonpoor households. The analysis is done by using the Minority Energy Assessment Model developed by Argonne National Laboratory for the US Department of Energy (DOE). The differential impacts of these price increases and fluctuations on poor and minority households raise significant issues for a variety of government agencies, including DOE. Although the Persian Gulf crisis is now over and world oil prices have returned to their prewar levels, the differential impacts of rising energy prices on poor and minority households as a result of any future crisis in the world oil market remains a significant long-term issue.

  16. Total..........................................................

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

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500...... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to ...

  17. Total...........................................................

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

    Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space

  18. Total

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

    Product: Total Crude Oil Liquefied Petroleum Gases Propane/Propylene Normal Butane/Butylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending Components Petroleum Products Finished Motor Gasoline Reformulated Gasoline Conventional Gasoline Kerosene-Type Jet Fuel Kerosene Distillate Fuel Oil Distillate Fuel Oil, 15 ppm Sulfur and Under Distillate Fuel Oil, Greater than 15 ppm to 500 ppm Sulfur

  19. ac_household2001.pdf

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

    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 ...

  20. ac_household2001.pdf

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

  1. Total..........................................................................

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

    . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to

  2. Total..........................................................................

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

    5.6 17.7 7.9 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.5 0.3 Q 500 to 999........................................................... 23.8 3.9 2.4 1.5 1,000 to 1,499..................................................... 20.8 4.4 3.2 1.2 1,500 to 1,999..................................................... 15.4 3.5 2.4 1.1 2,000 to 2,499..................................................... 12.2 3.2 2.1 1.1 2,500 to

  3. Total..........................................................................

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

    0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7

  4. Total..........................................................................

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

    4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to

  5. Total..........................................................................

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

    7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1

  6. Total................................................

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

    .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to

  7. Total..........................................................

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

    .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7

  8. Total...................................................................

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

    Floorspace (Square Feet) Total Floorspace 1 Fewer than 500............................................ 3.2 0.4 Q 0.6 1.7 0.4 500 to 999................................................... 23.8 4.8 1.4 4.2 10.2 3.2 1,000 to 1,499............................................. 20.8 10.6 1.8 1.8 4.0 2.6 1,500 to 1,999............................................. 15.4 12.4 1.5 0.5 0.5 0.4 2,000 to 2,499............................................. 12.2 10.7 1.0 0.2 Q Q 2,500 to

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

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

    Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3

  10. Total..........................................................................

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

    25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1

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

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

    7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4

  12. Total...........................................................

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

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8

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

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

    RECS data show decreased energy consumption per household RECS 2009 - Release date: June 6, 2012 Total United States energy consumption in homes has remained relatively stable for ...

  14. 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 ...

  15. homeoffice_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 ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State ...

  16. ac_household2001.pdf

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

    2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated ... New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditi...

  17. ac_household2001.pdf

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

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

  18. ac_household2001.pdf

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

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

  19. ac_household2001.pdf

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

    0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1

  20. ac_household2001.pdf

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

    1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1

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

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

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

  2. Household magnets

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  7. Total China Investment Co Ltd | Open Energy Information

    Open Energy Info (EERE)

    China Investment Co Ltd Jump to: navigation, search Name: Total (China) Investment Co. Ltd. Place: Beijing, China Zip: 100004 Product: Total has been present in China for about 30...

  8. Delaware Total Electric Power Industry Net Generation, by Energy...

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

    ...e","-","-","-","-","-" "Other","-","-",11,6,"-" "Total",7182,8534,7524,4842,5628 " " "s Value is less than 0.5 of the table metric, but value is included in any associated total.

  9. Table A55. Number of Establishments by Total Inputs of Energy...

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity ... Industry","Total(b)","Bed Boilers","Heat Recovery","Turbines","Heat Recovery","Processes",...

  10. Total Agroindustria Canavieira S A | Open Energy Information

    Open Energy Info (EERE)

    Agroindustria Canavieira S A Jump to: navigation, search Name: Total Agroindustria Canavieira SA Place: Bambui, Minas Gerais, Brazil Product: Ethanol producer in Minas Gerais,...

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

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

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

  12. Property:Building/SPElectrtyUsePercTotal | Open Energy Information

    Open Energy Info (EERE)

    PElectrtyUsePercTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 100.0 + Sweden Building 05K0002 + 100.0 + Sweden Building 05K0003 +...

  13. Property:RenewableFuelStandard/Total | Open Energy Information

    Open Energy Info (EERE)

    Property Edit with form History Facebook icon Twitter icon Property:RenewableFuelStandardTotal Jump to: navigation, search This is a property of type Number. Pages using the...

  14. AEO2011:Total Energy Supply, Disposition, and Price Summary ...

    Open Energy Info (EERE)

    case. The dataset uses quadrillion Btu and the U.S. Dollar. The data is broken down into production, imports, exports, consumption and price. Data and Resources AEO2011:Total...

  15. "Table A36. Total Expenditures for Purchased Energy Sources...

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

    ... W "," W "," W ",0," W ",1.1 2824," Organic Fibers, Noncellulosic",459," W "," W ... such combustible energy sources as wood" "waste, hydrogen, or waste oils and tars." " ...

  16. "Table A3. Total Primary Consumption of Combustible Energy...

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

    ... produced onsite from input" "materials not classified as energy. Examples of the latter are hydrogen" "produced from the electrolysis of brine; the output of captive (onsite) ...

  17. "Table A11. Total Primary Consumption of Combustible Energy...

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

    ... produced onsite from input materials not" "classified as an energy. Examples of the latter are hydrogen produced from the" "electrolysis of brine; the output of captive (onsite) ...

  18. "Table A3. Total Primary Consumption of Combustible Energy...

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

    ... produced onsite" "from input materials not classified as energy. Examples of the latter are hydrogen produced from the electrolysis" "of brine; the output of captive (onsite) ...

  19. Minnesota Total Electric Power Industry Net Generation, by Energy...

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

    Minnesota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",36125,36463,34879,32263,32454 " Coal",33070,32190,31755,29327,28083 " Petroleum",494,405,232,65,31 " Natural ...

  20. "Table A22. Total Quantity of Purchased Energy Sources by...

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

    ... Fibers",0,0,0,0,0,0,0,0,0,"NF" 2824," Organic Fibers Noncellulosic",0,0,0,0,0,0,0,0,0,"... such combustible energy sources as wood" "waste, hydrogen, or waste oils and tars." " ...

  1. "Table A24. Total Expenditures for Purchased Energy Sources...

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

    ... Fibers",0,0,0,0,0,0,0,0,0,"NF" 2824," Organic Fibers Noncellulosic",0,0,0,0,0,0,0,0,0,"... such combustible energy sources as wood" "waste, hydrogen, or waste oils and tars." " ...

  2. Texas Total Electric Power Industry Net Generation, by Energy...

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

    Texas" "Energy Source",2006,2007,2008,2009,2010 "Fossil",349849,351720,344813,333227,341054 " Coal",146391,147279,147132,139107,150173 " Petroleum",1789,1309,1034,1405,708 " ...

  3. Tennessee Total Electric Power Industry Net Generation, by Energy...

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

    Tennessee" "Energy Source",2006,2007,2008,2009,2010 "Fossil",61336,61205,57753,42242,46203 " Coal",60498,60237,57058,41633,43670 " Petroleum",160,232,216,187,217 " Natural ...

  4. Property:Geothermal/TotalProjectCost | Open Energy Information

    Open Energy Info (EERE)

    Churchill Co., NV Geothermal Project + 14,571,873 + A Demonstration System for Capturing Geothermal Energy from Mine Waters beneath Butte, MT Geothermal Project + 2,155,497 + A...

  5. Ohio Total Electric Power Industry Net Generation, by Energy Source

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

    Ohio" "Energy Source",2006,2007,2008,2009,2010 "Fossil",137494,138543,134878,119712,126652 " Coal",133400,133131,130694,113712,117828 " Petroleum",1355,1148,1438,1312,1442 " Natural Gas",2379,3975,2484,4650,7128 " Other Gases",360,289,261,37,254 "Nuclear",16847,15764,17514,15206,15805 "Renewables",1091,846,1010,1161,1129 "Pumped

  6. Oklahoma Total Electric Power Industry Net Generation, by Energy Source

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

    Oklahoma" "Energy Source",2006,2007,2008,2009,2010 "Fossil",68093,67765,70122,68700,65435 " Coal",35032,34438,36315,34059,31475 " Petroleum",64,160,23,9,18 " Natural Gas",32981,33144,33774,34631,33942 " Other Gases",16,22,10,"-","-" "Nuclear","-","-","-","-","-" "Renewables",2633,5195,6362,6482,6969 "Pumped

  7. Oregon Total Electric Power Industry Net Generation, by Energy Source

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

    Oregon" "Energy Source",2006,2007,2008,2009,2010 "Fossil",13621,19224,21446,19338,19781 " Coal",2371,4352,4044,3197,4126 " Petroleum",12,14,15,8,3 " Natural Gas",11239,14858,17387,16133,15651 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",39679,35816,37228,37306,35299 "Pumped

  8. Pennsylvania Total Electric Power Industry Net Generation, by Energy Source

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

    Pennsylvania" "Energy Source",2006,2007,2008,2009,2010 "Fossil",138173,143909,137862,136047,145210 " Coal",122558,122693,117583,105475,110369 " Petroleum",1518,1484,938,915,571 " Natural Gas",13542,19198,18731,29215,33718 " Other Gases",554,534,610,443,552 "Nuclear",75298,77376,78658,77328,77828 "Renewables",5317,4782,5353,6035,6577 "Pumped Storage",-698,-723,-354,-731,-708

  9. Louisiana Total Electric Power Industry Net Generation, by Energy Source

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

    Louisiana" "Energy Source",2006,2007,2008,2009,2010 "Fossil",69795,71028,72850,70155,80110 " Coal",24395,23051,24100,23067,23924 " Petroleum",1872,2251,2305,1858,3281 " Natural Gas",41933,43915,45344,44003,51344 " Other Gases",1595,1811,1101,1227,1561 "Nuclear",16735,17078,15371,16782,18639 "Renewables",3676,3807,3774,3600,3577 "Pumped

  10. Maine Total Electric Power Industry Net Generation, by Energy Source

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

    Maine" "Energy Source",2006,2007,2008,2009,2010 "Fossil",8214,7869,8264,7861,8733 " Coal",321,376,352,72,87 " Petroleum",595,818,533,433,272 " Natural Gas",7298,6675,7380,7355,8374 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",8246,7945,8515,8150,7963 "Pumped

  11. Maryland Total Electric Power Industry Net Generation, by Energy Source

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

    Maryland" "Energy Source",2006,2007,2008,2009,2010 "Fossil",32091,33303,29810,26529,27102 " Coal",29408,29699,27218,24162,23668 " Petroleum",581,985,406,330,322 " Natural Gas",1770,2241,1848,1768,2897 " Other Gases",332,378,338,269,215 "Nuclear",13830,14353,14679,14550,13994 "Renewables",2730,2256,2587,2440,2241 "Pumped Storage","-","-","-","-","-"

  12. Massachusetts Total Electric Power Industry Net Generation, by Energy Source

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

    Massachusetts" "Energy Source",2006,2007,2008,2009,2010 "Fossil",36773,40001,34251,30913,34183 " Coal",11138,12024,10629,9028,8306 " Petroleum",2328,3052,2108,897,296 " Natural Gas",23307,24925,21514,20988,25582 " Other Gases","-","-","-","-","-" "Nuclear",5830,5120,5869,5396,5918 "Renewables",2791,2038,2411,2430,2270 "Pumped

  13. Michigan Total Electric Power Industry Net Generation, by Energy Source

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

    Michigan" "Energy Source",2006,2007,2008,2009,2010 "Fossil",80004,84933,80179,75869,78535 " Coal",67780,70811,69855,66848,65604 " Petroleum",402,699,458,399,382 " Natural Gas",11410,13141,9602,8420,12249 " Other Gases",412,282,264,203,299 "Nuclear",29066,31517,31484,21851,29625 "Renewables",3963,3687,3956,3995,4083 "Pumped Storage",-1039,-1129,-916,-857,-1023 "Other",563,303,286,344,332

  14. Mississippi Total Electric Power Industry Net Generation, by Energy Source

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

    Mississippi" "Energy Source",2006,2007,2008,2009,2010 "Fossil",34254,39184,37408,36266,43331 " Coal",18105,17407,16683,12958,13629 " Petroleum",399,399,76,17,81 " Natural Gas",15706,21335,20607,23267,29619 " Other Gases",44,42,40,25,2 "Nuclear",10419,9359,9397,10999,9643 "Renewables",1541,1493,1391,1424,1504 "Pumped Storage","-","-","-","-","-"

  15. Missouri Total Electric Power Industry Net Generation, by Energy Source

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

    Missouri" "Energy Source",2006,2007,2008,2009,2010 "Fossil",81245,80127,78788,75122,79870 " Coal",77450,75084,73532,71611,75047 " Petroleum",61,60,57,88,126 " Natural Gas",3729,4979,5196,3416,4690 " Other Gases",5,3,3,7,7 "Nuclear",10117,9372,9379,10247,8996 "Renewables",223,1234,2293,2391,2527 "Pumped Storage",48,383,545,567,888 "Other",54,37,24,27,32

  16. Montana Total Electric Power Industry Net Generation, by Energy Source

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

    Montana" "Energy Source",2006,2007,2008,2009,2010 "Fossil",17583,18960,18822,16181,19068 " Coal",17085,18357,18332,15611,18601 " Petroleum",419,479,419,490,409 " Natural Gas",68,106,66,78,57 " Other Gases",11,19,6,1,2 "Nuclear","-","-","-","-","-" "Renewables",10661,9971,10704,10422,10442 "Pumped

  17. Nebraska Total Electric Power Industry Net Generation, by Energy Source

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

    Nebraska" "Energy Source",2006,2007,2008,2009,2010 "Fossil",21461,20776,22273,23684,23769 " Coal",20683,19630,21480,23350,23363 " Petroleum",19,36,35,23,31 " Natural Gas",759,1110,758,312,375 " Other Gases","-","-","-","-","-" "Nuclear",9003,11042,9479,9435,11054 "Renewables",1207,625,622,883,1807 "Pumped

  18. Nevada Total Electric Power Industry Net Generation, by Energy Source

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

    Nevada" "Energy Source",2006,2007,2008,2009,2010 "Fossil",28459,29370,31801,33436,30702 " Coal",7254,7091,7812,7540,6997 " Petroleum",17,11,14,16,11 " Natural Gas",21184,22263,23972,25878,23688 " Other Gases",4,4,2,2,6 "Nuclear","-","-","-","-","-" "Renewables",3401,3300,3289,4269,4444 "Pumped

  19. Alabama Total Electric Power Industry Net Generation, by Energy Source

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

    Alabama" "Energy Source",2006,2007,2008,2009,2010 "Fossil",97827,101561,97376,87580,102762 " Coal",78109,77994,74605,55609,63050 " Petroleum",180,157,204,219,200 " Natural Gas",19407,23232,22363,31617,39235 " Other Gases",131,178,204,135,277 "Nuclear",31911,34325,38993,39716,37941 "Renewables",11136,7937,9493,15585,11081 "Pumped

  20. Alaska Total Electric Power Industry Net Generation, by Energy Source

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

    Alaska" "Energy Source",2006,2007,2008,2009,2010 "Fossil",5443,5519,5598,5365,5308 " Coal",617,641,618,631,620 " Petroleum",768,1010,978,1157,937 " Natural Gas",4058,3868,4002,3577,3750 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",1231,1302,1177,1337,1452 "Pumped

  1. Arizona Total Electric Power Industry Net Generation, by Energy Source

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

    Arizona" "Energy Source",2006,2007,2008,2009,2010 "Fossil",73385,79794,82715,74509,73386 " Coal",40443,41275,43840,39707,43644 " Petroleum",73,49,52,63,66 " Natural Gas",32869,38469,38822,34739,29676 " Other Gases","-","-","-","-","-" "Nuclear",24012,26782,29250,30662,31200 "Renewables",6846,6639,7400,6630,6941 "Pumped Storage",149,125,95,169,209

  2. Arkansas Total Electric Power Industry Net Generation, by Energy Source

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

    Arkansas" "Energy Source",2006,2007,2008,2009,2010 "Fossil",33626,34203,34639,36385,40667 " Coal",24183,25744,26115,25075,28152 " Petroleum",161,94,64,88,45 " Natural Gas",9282,8364,8461,11221,12469 " Other Gases","-","-","-","-","-" "Nuclear",15233,15486,14168,15170,15023 "Renewables",3273,4860,6173,5778,5283 "Pumped Storage",15,30,48,100,-1

  3. California Total Electric Power Industry Net Generation, by Energy Source

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

    California" "Energy Source",2006,2007,2008,2009,2010 "Fossil",112317,122151,125699,118679,112376 " Coal",2235,2298,2280,2050,2100 " Petroleum",2368,2334,1742,1543,1059 " Natural Gas",105691,115700,119992,113463,107522 " Other Gases",2022,1818,1685,1623,1695 "Nuclear",31959,35792,32482,31764,32201 "Renewables",71963,52173,48912,53428,58881 "Pumped Storage",96,310,321,153,-171

  4. Colorado Total Electric Power Industry Net Generation, by Energy Source

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

    Colorado" "Energy Source",2006,2007,2008,2009,2010 "Fossil",48211,50980,48334,45490,45639 " Coal",36269,35936,34828,31636,34559 " Petroleum",21,28,19,13,17 " Natural Gas",11919,15014,13487,13840,11062 " Other Gases",3,2,"-","-","-" "Nuclear","-","-","-","-","-" "Renewables",2687,3054,5324,5132,5133 "Pumped

  5. Connecticut Total Electric Power Industry Net Generation, by Energy Source

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

    Connecticut" "Energy Source",2006,2007,2008,2009,2010 "Fossil",16046,14982,12970,12562,14743 " Coal",4282,3739,4387,2453,2604 " Petroleum",1279,1311,514,299,409 " Natural Gas",10484,9930,8070,9809,11716 " Other Gases",2,2,"-","-",14 "Nuclear",16589,16386,15433,16657,16750 "Renewables",1307,1093,1290,1268,1130 "Pumped Storage","-",-15,7,5,9

  6. Delaware Total Electric Power Industry Net Generation, by Energy Source

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

    Delaware" "Energy Source",2006,2007,2008,2009,2010 "Fossil",7182,8486,7350,4710,5489 " Coal",4969,5622,5267,2848,2568 " Petroleum",132,241,219,258,56 " Natural Gas",1171,1902,1387,1376,2865 " Other Gases",910,721,476,227,"-" "Nuclear","-","-","-","-","-" "Renewables","s",48,163,126,138 "Pumped

  7. Florida Total Electric Power Industry Net Generation, by Energy Source

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

    Florida" "Energy Source",2006,2007,2008,2009,2010 "Fossil",184530,188433,180167,181553,197662 " Coal",65423,67908,64823,54003,59897 " Petroleum",22904,20203,11971,9221,9122 " Natural Gas",96186,100307,103363,118322,128634 " Other Gases",17,15,10,7,8 "Nuclear",31426,29289,32133,29118,23936 "Renewables",4534,4457,4509,4549,4664 "Pumped

  8. Georgia Total Electric Power Industry Net Generation, by Energy Source

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

    Georgia" "Energy Source",2006,2007,2008,2009,2010 "Fossil",100299,107165,99661,90634,97823 " Coal",86504,90298,85491,69478,73298 " Petroleum",834,788,742,650,641 " Natural Gas",12961,16079,13428,20506,23884 " Other Gases","-","-","-","-","-" "Nuclear",32006,32545,31691,31683,33512 "Renewables",5988,5652,4927,6085,6502 "Pumped

  9. Hawaii Total Electric Power Industry Net Generation, by Energy Source

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

    Hawaii" "Energy Source",2006,2007,2008,2009,2010 "Fossil",10646,10538,10356,9812,9655 " Coal",1549,1579,1648,1500,1546 " Petroleum",9054,8914,8670,8289,8087 " Natural Gas","-","-","-","-","-" " Other Gases",43,45,39,22,22 "Nuclear","-","-","-","-","-" "Renewables",738,846,861,817,817 "Pumped

  10. Idaho Total Electric Power Industry Net Generation, by Energy Source

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

    Idaho" "Energy Source",2006,2007,2008,2009,2010 "Fossil",1381,1741,1790,1726,1778 " Coal",82,84,90,83,88 " Petroleum","s","s","s","s","s" " Natural Gas",1298,1657,1700,1644,1689 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-"

  11. Illinois Total Electric Power Industry Net Generation, by Energy Source

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

    Illinois" "Energy Source",2006,2007,2008,2009,2010 "Fossil",97212,103072,101101,94662,99605 " Coal",91649,95265,96644,89967,93611 " Petroleum",136,132,143,113,110 " Natural Gas",5279,7542,4260,4495,5724 " Other Gases",149,134,54,88,161 "Nuclear",94154,95729,95152,95474,96190 "Renewables",1022,1438,3174,3666,5257 "Pumped Storage","-","-","-","-","-"

  12. Indiana Total Electric Power Industry Net Generation, by Energy Source

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

    Indiana" "Energy Source",2006,2007,2008,2009,2010 "Fossil",129345,129576,128206,114118,121101 " Coal",123645,122803,122036,108312,112328 " Petroleum",148,170,178,157,155 " Natural Gas",2682,4012,3636,3830,6475 " Other Gases",2870,2591,2356,1820,2144 "Nuclear","-","-","-","-","-" "Renewables",710,681,948,2209,3699 "Pumped

  13. Iowa Total Electric Power Industry Net Generation, by Energy Source

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

    Iowa" "Energy Source",2006,2007,2008,2009,2010 "Fossil",37014,41388,42734,38621,42749 " Coal",34405,37986,40410,37351,41283 " Petroleum",208,312,161,85,154 " Natural Gas",2400,3091,2163,1184,1312 " Other Gases","-","-","-","-","-" "Nuclear",5095,4519,5282,4679,4451 "Renewables",3364,3870,5070,8560,10309 "Pumped

  14. Kansas Total Electric Power Industry Net Generation, by Energy Source

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

    Kansas" "Energy Source",2006,2007,2008,2009,2010 "Fossil",35172,38590,36363,35033,34895 " Coal",33281,36250,34003,32243,32505 " Petroleum",51,207,130,121,103 " Natural Gas",1839,2133,2230,2669,2287 " Other Gases","-","-","-","-","-" "Nuclear",9350,10369,8497,8769,9556 "Renewables",1002,1163,1770,2876,3473 "Pumped

  15. Kentucky Total Electric Power Industry Net Generation, by Energy Source

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

    Kentucky" "Energy Source",2006,2007,2008,2009,2010 "Fossil",95720,95075,95478,86937,95182 " Coal",91198,90483,91621,84038,91054 " Petroleum",3341,2791,2874,2016,2285 " Natural Gas",1177,1796,979,878,1841 " Other Gases",4,5,4,4,3 "Nuclear","-","-","-","-","-" "Renewables",3050,2134,2377,3681,3020 "Pumped

  16. Utah Total Electric Power Industry Net Generation, by Energy Source

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

    Utah" "Energy Source",2006,2007,2008,2009,2010 "Fossil",40306,44634,45466,42034,40599 " Coal",36856,37171,38020,35526,34057 " Petroleum",62,39,44,36,50 " Natural Gas",3389,7424,7366,6444,6455 " Other Gases","-","-",36,28,36 "Nuclear","-","-","-","-","-" "Renewables",952,734,970,1322,1476 "Pumped

  17. Vermont Total Electric Power Industry Net Generation, by Energy Source

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

    Vermont" "Energy Source",2006,2007,2008,2009,2010 "Fossil",9,10,7,7,8 " Coal","-","-","-","-","-" " Petroleum",7,8,4,2,5 " Natural Gas",2,2,3,4,4 " Other Gases","-","-","-","-","-" "Nuclear",5107,4704,4895,5361,4782 "Renewables",1969,1110,1918,1915,1829 "Pumped

  18. Virginia Total Electric Power Industry Net Generation, by Energy Source

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

    Virginia" "Energy Source",2006,2007,2008,2009,2010 "Fossil",42343,48422,42242,38888,43751 " Coal",34288,35421,31776,25599,25459 " Petroleum",839,2097,1150,1088,1293 " Natural Gas",7215,10904,9315,12201,16999 " Other Gases","-","-","-","-","-" "Nuclear",27594,27268,27931,28212,26572 "Renewables",3810,3814,3709,3896,3720 "Pumped

  19. Washington Total Electric Power Industry Net Generation, by Energy Source

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

    Washington" "Energy Source",2006,2007,2008,2009,2010 "Fossil",14255,16215,18879,19747,19211 " Coal",6373,8557,8762,7478,8527 " Petroleum",38,37,35,54,32 " Natural Gas",7495,7287,9809,11971,10359 " Other Gases",349,334,272,245,292 "Nuclear",9328,8109,9270,6634,9241 "Renewables",84510,82560,82575,77977,74905 "Pumped Storage",47,45,49,52,53 "Other",62,62,56,59,62

  20. Wisconsin Total Electric Power Industry Net Generation, by Energy Source

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

    Wisconsin" "Energy Source",2006,2007,2008,2009,2010 "Fossil",46352,47530,47881,43477,46384 " Coal",40116,40028,41706,37280,40169 " Petroleum",877,1013,931,712,718 " Natural Gas",5358,6489,5244,5484,5497 " Other Gases","-","-","-","-","s" "Nuclear",12234,12910,12155,12683,13281 "Renewables",2944,2846,3370,3734,4586 "Pumped

  1. Wyoming Total Electric Power Industry Net Generation, by Energy Source

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

    Wyoming" "Energy Source",2006,2007,2008,2009,2010 "Fossil",43749,44080,44635,42777,43781 " Coal",42892,43127,43808,41954,42987 " Petroleum",46,47,44,50,56 " Natural Gas",501,594,495,488,459 " Other Gases",310,312,289,284,279 "Nuclear","-","-","-","-","-" "Renewables",1602,1484,1798,3193,4271 "Pumped

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

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

    HC7 Home Office Equipment, Million U.S. Households PDF PDF Household Energy Usage The 1997 Residential Energy Consumption Survey (RECS) collected household energy data for the ...

  3. Real-space formulation of the electrostatic potential and total energy of

    Office of Scientific and Technical Information (OSTI)

    solids (Journal Article) | SciTech Connect Journal Article: Real-space formulation of the electrostatic potential and total energy of solids Citation Details In-Document Search Title: Real-space formulation of the electrostatic potential and total energy of solids We develop expressions for the electrostatic potential and total energy of crystalline solids which are amenable to direct evaluation in real space. Unlike conventional reciprocal space formulations, no Fourier transforms or

  4. Table A26. Total Quantity of Purchased Energy Sources by Census...

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

    Total Quantity of Purchased Energy Sources by Census Region and" " Economic ... ","(1000","(trillion","Row" "Economic Characteristics(a)","Btu)","kWh)","(1000 ...

  5. Table A45. Total Inputs of Energy for Heat, Power, and Electricity...

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

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building ...

  6. 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...

  7. homeoffice_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 ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State income

  8. U.S. Department of Energy Releases Revised Total System Life Cycle Cost

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

    Estimate and Fee Adequacy Report for Yucca Mountain Project | Department of Energy Revised Total System Life Cycle Cost Estimate and Fee Adequacy Report for Yucca Mountain Project U.S. Department of Energy Releases Revised Total System Life Cycle Cost Estimate and Fee Adequacy Report for Yucca Mountain Project August 5, 2008 - 2:40pm Addthis WASHINGTON, DC -The U.S. Department of Energy (DOE) today released a revised estimate of the total system life cycle cost for a repository at Yucca

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

    SciTech Connect (OSTI)

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

    2008-03-01

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

  10. spaceheat_household2001.pdf

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

    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

  11. spaceheat_household2001.pdf

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

    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

  12. 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.

  13. Table A41. Total Inputs of Energy for Heat, Power, and Electricity

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

    A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and

  14. Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and

  15. Table A56. Number of Establishments by Total Inputs of Energy for Heat, Powe

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS"

  16. United States Total Electric Power Industry Net Generation, by Energy Source

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

    Total Electric Power Industry Net Generation, by Energy Source, 2006 - 2010" "(Thousand Megawatthours)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Fossil",2885295,2992238,2926731,2726452,2883361 " Coal",1990511,2016456,1985801,1755904,1847290 " Petroleum",64166,65739,46243,38937,37061 " Natural Gas",816441,896590,882981,920979,987697 " Other Gases",14177,13453,11707,10632,11313

  17. United States Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Total Electric Power Industry Net Summer Capacity, by Energy Source, 2006 - 2010" "(Megawatts)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Fossil",761603,763994,770221,774279,782176 " Coal",312956,312738,313322,314294,316800 " Petroleum",58097,56068,57445,56781,55647 " Natural Gas",388294,392876,397460,401272,407028 " Other Gases",2256,2313,1995,1932,2700

  18. Total reaction cross sections in CEM and MCNP6 at intermediate energies

    SciTech Connect (OSTI)

    Kerby, Leslie M.; Mashnik, Stepan G.

    2015-05-14

    Accurate total reaction cross section models are important to achieving reliable predictions from spallation and transport codes. The latest version of the Cascade Exciton Model (CEM) as incorporated in the code CEM03.03, and the Monte Carlo N-Particle transport code (MCNP6), both developed at Los Alamos National Laboratory (LANL), each use such cross sections. Having accurate total reaction cross section models in the intermediate energy region (50 MeV to 5 GeV) is very important for different applications, including analysis of space environments, use in medical physics, and accelerator design, to name just a few. The current inverse cross sections used in the preequilibrium and evaporation stages of CEM are based on the Dostrovsky et al. model, published in 1959. Better cross section models are now available. Implementing better cross section models in CEM and MCNP6 should yield improved predictions for particle spectra and total production cross sections, among other results.

  19. "Table 21. Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual"

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

    Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual" "Projected" " (million metric tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",5060,5129.666667,5184.666667,5239.666667,5287.333333,5335,5379,5437.666667,5481.666667,5529.333333,5599,5657.666667,5694.333333,5738.333333,5797,5874,5925.333333,5984 "AEO

  20. The contribution of low-energy protons to the total on-orbit SEU rate

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

    Dodds, Nathaniel Anson; Martinez, Marino J.; Dodd, Paul E.; Shaneyfelt, Marty R.; Sexton, Frederick W.; Black, Jeffrey D.; Lee, David S.; Swanson, Scot E.; Bhuva, B. L.; Warren, K. M.; et al

    2015-11-10

    Low- and high-energy proton experimental data and error rate predictions are presented for many bulk Si and SOI circuits from the 20-90 nm technology nodes to quantify how much low-energy protons (LEPs) can contribute to the total on-orbit single-event upset (SEU) rate. Every effort was made to predict LEP error rates that are conservatively high; even secondary protons generated in the spacecraft shielding have been included in the analysis. Across all the environments and circuits investigated, and when operating within 10% of the nominal operating voltage, LEPs were found to increase the total SEU rate to up to 4.3 timesmore » as high as it would have been in the absence of LEPs. Therefore, the best approach to account for LEP effects may be to calculate the total error rate from high-energy protons and heavy ions, and then multiply it by a safety margin of 5. If that error rate can be tolerated then our findings suggest that it is justified to waive LEP tests in certain situations. Trends were observed in the LEP angular responses of the circuits tested. As a result, grazing angles were the worst case for the SOI circuits, whereas the worst-case angle was at or near normal incidence for the bulk circuits.« less

  1. Sorting through the many total-energy-cycle pathways possible with early plug-in hybrids.

    SciTech Connect (OSTI)

    Gaines, L.; Burnham, A.; Rousseau, A.; Santini, D.; Energy Systems

    2008-01-01

    Using the 'total energy cycle' methodology, we compare U.S. near term (to {approx}2015) alternative pathways for converting energy to light-duty vehicle kilometers of travel (VKT) in plug-in hybrids (PHEVs), hybrids (HEVs), and conventional vehicles (CVs). For PHEVs, we present total energy-per-unit-of-VKT information two ways (1) energy from the grid during charge depletion (CD); (2) energy from stored on-board fossil fuel when charge sustaining (CS). We examine 'incremental sources of supply of liquid fuel such as (a) oil sands from Canada, (b) Fischer-Tropsch diesel via natural gas imported by LNG tanker, and (c) ethanol from cellulosic biomass. We compare such fuel pathways to various possible power converters producing electricity, including (i) new coal boilers, (ii) new integrated, gasified coal combined cycle (IGCC), (iii) existing natural gas fueled combined cycle (NGCC), (iv) existing natural gas combustion turbines, (v) wood-to-electricity, and (vi) wind/solar. We simulate a fuel cell HEV and also consider the possibility of a plug-in hybrid fuel cell vehicle (FCV). For the simulated FCV our results address the merits of converting some fuels to hydrogen to power the fuel cell vs. conversion of those same fuels to electricity to charge the PHEV battery. The investigation is confined to a U.S. compact sized car (i.e. a world passenger car). Where most other studies have focused on emissions (greenhouse gases and conventional air pollutants), this study focuses on identification of the pathway providing the most vehicle kilometers from each of five feedstocks examined. The GREET 1.7 fuel cycle model and the new GREET 2.7 vehicle cycle model were used as the foundation for this study. Total energy, energy by fuel type, total greenhouse gases (GHGs), volatile organic compounds (VOC), carbon monoxide (CO), nitrogen oxides (NO{sub x}), fine particulate (PM2.5) and sulfur oxides (SO{sub x}) values are presented. We also isolate the PHEV emissions contribution from varying kWh storage capability of battery packs in HEVs and PHEVs from {approx}16 to 64 km of charge depleting distance. Sensitivity analysis is conducted with respect to the effect of replacing the battery once during the vehicle's life. The paper includes one appendix that examines several recent studies of interactions of PHEVs with patterns of electric generation and one that provides definitions, acronyms, and fuel consumption estimation steps.

  2. Framework for Evaluating the Total Value Proposition of Clean Energy Technologies

    SciTech Connect (OSTI)

    Pater, J. E.

    2006-02-01

    Conventional valuation techniques fail to include many of the financial advantages of clean energy technologies. By omitting benefits associated with risk management, emissions reductions, policy incentives, resource use, corporate social responsibility, and societal economic benefits, investors and firms sacrifice opportunities for new revenue streams and avoided costs. In an effort to identify some of these externalities, this analysis develops a total value proposition for clean energy technologies. It incorporates a series of values under each of the above categories, describing the opportunities for recapturing investments throughout the value chain. The framework may be used to create comparable value propositions for clean energy technologies supporting investment decisions, project siting, and marketing strategies. It can also be useful in policy-making decisions.

  3. Try This: Household Magnets

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

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

  4. Average Neutron Total Cross Sections in the Unresolved Energy Range From ORELA High Resolutio Transmission Measurements

    SciTech Connect (OSTI)

    Derrien, H

    2004-05-27

    Average values of the neutron total cross sections of {sup 233}U, {sup 235}U, {sup 238}U, and {sup 239}Pu have been obtained in the unresolved resonance energy range from high-resolution transmission measurements performed at ORELA in the past two decades. The cross sections were generated by correcting the effective total cross sections for the self-shielding effects due to the resonance structure of the data. The self-shielding factors were found by calculating the effective and true cross sections with the computer code SAMMY for the same Doppler and resolution conditions as for the transmission measurements, using an appropriate set of resonance parameters. Our results are compared to results of previous measurements and to the current ENDF/B-VI data.

  5. Table 21. Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual

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

    Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual Projected (million metric tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 5060 5130 5185 5240 5287 5335 5379 5438 5482 5529 5599 5658 5694 5738 5797 5874 5925 5984 AEO 1995 5137 5174 5188 5262 5309 5361 5394 5441 5489 5551 5621 5680 5727 5775 5841 5889 5944 AEO 1996 5182 5224 5295 5355 5417 5464 5525 5589 5660 5735 5812 5879 5925 5981 6030 6087 6142 6203

  6. Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion Btu)" ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding",,"RSE" "SIC",,,"Net","Residual","and Diesel",,,"Coal Coke",,"Row" "Code(a)","End-Use

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

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

    Total Delivered Industrial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",25.43,25.904,26.303,26.659,26.974,27.062,26.755,26.598,26.908,27.228,27.668,28.068,28.348,28.668,29.068,29.398,29.688,30.008 "AEO

  8. Total reaction cross sections in CEM and MCNP6 at intermediate energies

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

    Kerby, Leslie M.; Mashnik, Stepan G.

    2015-05-14

    Accurate total reaction cross section models are important to achieving reliable predictions from spallation and transport codes. The latest version of the Cascade Exciton Model (CEM) as incorporated in the code CEM03.03, and the Monte Carlo N-Particle transport code (MCNP6), both developed at Los Alamos National Laboratory (LANL), each use such cross sections. Having accurate total reaction cross section models in the intermediate energy region (50 MeV to 5 GeV) is very important for different applications, including analysis of space environments, use in medical physics, and accelerator design, to name just a few. The current inverse cross sections used inmore » the preequilibrium and evaporation stages of CEM are based on the Dostrovsky et al. model, published in 1959. Better cross section models are now available. Implementing better cross section models in CEM and MCNP6 should yield improved predictions for particle spectra and total production cross sections, among other results.« less

  9. 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)...

  10. 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...

  11. 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...

  12. 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)...

  13. 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...

  14. 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...

  15. 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...

  16. Development of a Total Energy, Environment and Asset Management (TE2AM tm) Curriculum

    SciTech Connect (OSTI)

    2012-12-31

    The University of Wisconsin Department of Engineering Professional Development (EPD) has completed the sponsored project entitled, Development of a Total Energy, Environment and Asset Management (TE2AM™) Curriculum. The project involved the development of a structured professional development program to improve the knowledge, skills, capabilities, and competencies of engineers and operators of commercial buildings. TE2AM™ advances a radically different approach to commercial building design, operation, maintenance, and end-­‐of-­‐life disposition. By employing asset management principles to the lifecycle of a commercial building, owners and occupants will realize improved building performance, reduced energy consumption and positive environmental impacts. Through our commercialization plan, we intend to offer TE2AM™ courses and certificates to the professional community and continuously improve TE2AM™ course materials. The TE2AM™ project supports the DOE Strategic Theme 1 -­‐ Energy Security; and will further advance the DOE Strategic Goal 1.4 Energy Productivity. Through participation in the TE2AM™ curriculum, engineers and operators of commercial buildings will be eligible for a professional certificate; denoting the completion of a prescribed series of learning activities. The project involved a comprehensive, rigorous approach to curriculum development, and accomplished the following goals: 1. Identify, analyze and prioritize key learning needs of engineers, architects and technical professionals as operators of commercial buildings. 2. Design and develop TE2AM™ curricula and instructional strategies to meet learning needs of the target learning community. 3. Establish partnerships with the sponsor and key stakeholders to enhance the development and delivery of learning programs. 4. Successfully commercialize and sustain the training and certificate programs for a substantial time following the term of the award. The project team was successful in achieving the goals and deliverables set forth in the original proposal. Though attempts were made to adhere to the original project timeline, the team requested, and was granted a 6-­‐month project extension, during which time the project was completed.

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

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

    Total Delivered Residential Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",10.31,10.36,10.36,10.37,10.38,10.4,10.4,10.41,10.43,10.43,10.44,10.45,10.46,10.49,10.51,10.53,10.56,10.6 "AEO 1995",,10.96,10.8,10.81,10.81,10.79,10.77,10.75,10.73,10.72,10.7,10.7,10.69,10.7,10.72,10.75,10.8,10.85 "AEO

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

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

    Total Delivered Commercial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",6.82,6.87,6.94,7,7.06,7.13,7.16,7.22,7.27,7.32,7.36,7.38,7.41,7.45,7.47,7.5,7.51,7.55 "AEO 1995",,6.94,6.9,6.95,6.99,7.02,7.05,7.08,7.09,7.11,7.13,7.15,7.17,7.19,7.22,7.26,7.3,7.34 "AEO

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

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

    Total Delivered Transportation Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",23.62,24.08,24.45,24.72,25.06,25.38,25.74,26.16,26.49,26.85,27.23,27.55,27.91,28.26,28.61,28.92,29.18,29.5 "AEO 1995",,23.26,24.01,24.18,24.69,25.11,25.5,25.86,26.15,26.5,26.88,27.28,27.66,27.99,28.25,28.51,28.72,28.94 "AEO

  20. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 1: technical report

    SciTech Connect (OSTI)

    Cuenca, R.; Formento, J.; Gaines, L.; Marr, B.; Santini, D.; Wang, M.; Adelman, S.; Kline, D.; Mark, J.; Ohi, J.; Rau, N.; Freeman, S.; Humphreys, K.; Placet, M.

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline-powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume I contains the major results, a discussion of the conceptual framework of the study, and summaries of the vehicle, utility, fuel production, and manufacturing analyses. It also contains summaries of comments provided by external peer reviewers and brief responses to these comments.

  1. Energy Information Administration - Energy Efficiency, energy...

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

    Efficiency Energy Efficiency energy consumption savings households, buildings, industry & vehicles The Energy Efficiency Page reflects EIA's information on energy efficiency and...

  2. Household heating bills expected to be lower this winter

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

    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 ...

  3. FY 2007 Total System Life Cycle Cost, Pub 2008 | Department of Energy

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

    FY 2007 Total System Life Cycle Cost, Pub 2008 FY 2007 Total System Life Cycle Cost, Pub 2008 The Analysis of the Total System Life Cycle Cost (TSLCC) of the Civilian Radioactive Waste Management Program presents the Office of Civilian Radioactive Waste Management's (OCRWM) May 2007 total system cost estimate for the disposal of the Nation's spent nuclear fuel (SNF) and high-level radioactive waste (HLW). The TSLCC analysis provides a basis for assessing the adequacy of the Nuclear Waste Fund

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

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

    November, U.S. households are forecast to consume more heating fuels than ... That's the latest forecast from the U.S. Energy Information Administration. Propane users ...

  5. 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.

  6. "Table B29. Primary Space-Heating Energy Sources, Total Floorspace for Non-Mall Buildings, 2003"

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

    9. Primary Space-Heating Energy Sources, Total Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Buildings*","Buildings with Space Heating","Primary Space-Heating Energy Source Used a" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat" "All Buildings* ...............",64783,60028,15996,32970,3818,4907 "Building Floorspace" "(Square

  7. Property:Building/SPPurchasedEngyNrmlYrMwhYrTotal | Open Energy...

    Open Energy Info (EERE)

    dEngyNrmlYrMwhYrTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 4355.0 + Sweden Building 05K0002 + 1530.1 + Sweden Building 05K0003...

  8. Property:Building/SPPurchasedEngyPerAreaKwhM2Total | Open Energy...

    Open Energy Info (EERE)

    EngyPerAreaKwhM2Total" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 221.549575215 + Sweden Building 05K0002 + 213.701117318 + Sweden...

  9. Property:Building/SPPurchasedEngyForPeriodMwhYrTotal | Open Energy...

    Open Energy Info (EERE)

    gyForPeriodMwhYrTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 4228.0 + Sweden Building 05K0002 + 1501.1 + Sweden Building 05K0003...

  10. 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

  11. Buildings Energy Data Book: 2.3 Residential Sector Expenditures

    Buildings Energy Data Book [EERE]

    2 2005 Household Energy Expenditures, by Vintage ($2010) | Year | Prior to 1950 887 | 22% 1950 to 1969 771 | 22% 1970 to 1979 736 | 16% 1980 to 1989 741 | 16% 1990 to 1999 752 | 16% 2000 to 2005 777 | 9% | Average 780 | Total 100% Note(s): Source(s): 1.24 2,003 1) Energy expenditures per square foot were calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the

  12. Table A9. Total Primary Consumption of Energy for All Purposes...

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

    ... produced" "onsite from input materials not classified as energy. Examples of the latter" "are hydrogen produced from the electrolysis of brine; the output of captive" "(onsite) ...

  13. Table A30. Total Primary Consumption of Energy for All Purposes...

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

    ... produced" "onsite from input materials not classified as energy. Examples of the latter" "are hydrogen produced from the electrolysis of brine; the output of captive" "(onsite) ...

  14. Table A33. Total Primary Consumption of Energy for All Purposes...

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

    ... produced" "onsite from input materials not classified as energy. Examples of the latter" "are hydrogen produced from the electrolysis of brine; the output of captive" "(onsite) ...

  15. Country Total

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

    Country Total Percent of U.S. total China 1,461,074 34 Republic of Korea 172,379 4 Taiwan 688,311 16 All others 1,966,263 46 Total 4,288,027 100 Note: All Others includes Canada, Czech Republic, Federal Republic of Germany, Malaysia, Mexico, Philippines and Singapore Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.' Table 7 . Photovoltaic module import shipments by country, 2013 (peak kilowatts)

  16. char_household2001.pdf

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

    Contact: Stephanie J. Battles, Survey Manager (stephanie.battles@eia.doe.gov) World Wide Web: http:www.eia.doe.govemeuconsumption Table HC2-1a. Household Characteristics by ...

  17. homeoffice_household2001.pdf

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

    107.0 7.1 12.3 7.7 6.3 NE Households Using Office Equipment ... NE RSE row factor not estimated because RSE's for all statistics in this row are between ...

  18. homeoffice_household2001.pdf

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

    ......... 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ... NE RSE row factor not estimated because RSE's for all statistics in this row are between ...

  19. homeoffice_household2001.pdf

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

    107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ... NE RSE row factor not estimated because RSE's for all statistics in this row are between ...

  20. homeoffice_household2001.pdf

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

    ......... 107.0 23.3 6.7 16.6 NE Households Using Office Equipment ... NE RSE row factor not estimated because RSE's for all statistics in this row are between ...

  1. spaceheat_household2001.pdf

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

    ... location is over a period of one year, relative to a base temperature of 65 degrees Fahrenheit. A household is assigned to a climate zone according to the 30-year average annual ...

  2. 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

  3. Buildings Energy Data Book: 5.4 Water Heaters

    Buildings Energy Data Book [EERE]

    1 Water Heater Stock for Residential Buildings, By Fuel Type Electric Natural Gas Fuel Oil Propane/LPG Other 0.2 0.2% Total (1) Note(s): Souce(s): According to RECS, 1.1 million households did not use hot water.The total only includes those households that used hot water. EIA, Residential Energy Consumption Survey 2005, Table HC 2.8, June 2008. 4.0 3.6% 4.0 3.6% 110.0 100.0% Households in 2005 (millions) Percent 43.1 39.2% 58.7 53.4%

  4. Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural

  5. Table A37. Total Inputs of Energy for Heat, Power, and Electricity

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

    2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural

  6. A Glance at China’s Household Consumption

    SciTech Connect (OSTI)

    Shui, Bin

    2009-10-22

    Known for its scale, China is the most populous country with the world’s 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.

  7. FAST NEUTRON SPECTROMETER USING SPACED SEMICONDUCTORS FOR MEASURING TOTAL ENERGY OF NEUTRONS CAPTURED

    DOE Patents [OSTI]

    Love, T.A.; Murray, R.B.

    1964-04-14

    A fast neutron spectrometer was designed, which utilizes a pair of opposed detectors having a layer of /sup 6/LiF between to produce alpha and T pair for each neutron captured to provide signals, which, when combined, constitute a measure of neutron energy. (AEC)

  8. Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    1" " (Estimates in Btu or Physical Units)" ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding" ,,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural Gas(d)","LPG","and Breeze)","Other(e)","Row" "Code(a)","End-Use

  9. Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    1" " (Estimates in Btu or Physical Units)" ,,,,"Distillate",,,"Coal" ,,,,"Fuel Oil",,,"(excluding" ,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" ,"Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Other(d)","Row" "End-Use Categories","(trillion

  10. Table A36. Total Inputs of Energy for Heat, Power, and Electricity

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

    ,,,,,,,,"Coal" " Part 1",,,,,,,,"(excluding" " (Estimates in Btu or Physical Units)",,,,,"Distillate",,,"Coal Coke" ,,,,,"Fuel Oil",,,"and" ,,,"Net","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel","(billion","LPG","(1000

  11. Table A36. Total Inputs of Energy for Heat, Power, and Electricity

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

    " Part 2" " (Estimates in Trillion Btu)",,,,,,,,"Coal" ,,,,,"Distillate",,,"(excluding" ,,,,,"Fuel Oil",,,"Coal Coke",,"RSE" "SIC",,,"Net","Residual","and Diesel",,,"and",,"Row" "Code(a)","End-Use Categories","Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural

  12. Table A37. Total Inputs of Energy for Heat, Power, and Electricity

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

    1",,,,,,,"Coal" " (Estimates in Btu or Physical Units)",,,,,,,"(excluding" ,,,,"Distillate",,,"Coal Coke" ,,"Net",,"Fuel Oil",,,"and" ,,"Electricity(a)","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" ,"Total","(million","Fuel Oil","Fuel","(billion","LPG","(1000

  13. Total energy study of the microscopic structure and electronic properties of tetragonal perovskite SrTiO{sub 3}

    SciTech Connect (OSTI)

    Rubio-Ponce, A.; Olgun, D.

    2014-05-15

    To study the structural and electronic properties of cubic perovskite SrTiO{sub 3} and its stress-induced tetragonal phase, we have performed total energy calculations and studied the effect of oxygen vacancies on the electronic properties of tetragonal perovskite SrTiO{sub 3}. The method used was the relativistic full-potential linearized augmented plane wave (FLAPW) method. To obtain the geometry that minimizes the total energy, we relaxed the internal atomic sites of the tetragonal cell. As a result of this procedure, we have found that the titanium atoms move toward the plane of the vacancy by 0.03 , and the apical oxygen atoms move to the same plane by approximately 0.14 . These results are discussed in comparison with experimental data.

  14. District of Columbia Total Electric Power Industry Net Generation, by Energy Source

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

    District of Columbia" "Energy Source",2006,2007,2008,2009,2010 "Fossil",81,75,72,35,200 " Coal","-","-","-","-","-" " Petroleum",81,75,72,35,200 " Natural Gas","-","-","-","-","-" " Other Gases","-","-","-","-","-"

  15. District of Columbia Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    District of Columbia" "Energy Source",2006,2007,2008,2009,2010 "Fossil",806,806,790,790,790 " Coal","-","-","-","-","-" " Petroleum",806,806,790,790,790 " Natural Gas","-","-","-","-","-" " Other Gases","-","-","-","-","-"

  16. New York Total Electric Power Industry Net Generation, by Energy Source

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

    York" "Energy Source",2006,2007,2008,2009,2010 "Fossil",69880,75234,66756,57187,64503 " Coal",20968,21406,19154,12759,13583 " Petroleum",6778,8195,3745,2648,2005 " Natural Gas",42134,45634,43856,41780,48916 " Other Gases","-","-","-","-","-" "Nuclear",42224,42453,43209,43485,41870 "Renewables",29941,28028,30042,32082,30286 "Pumped

  17. New York Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    York" "Energy Source",2006,2007,2008,2009,2010 "Fossil",28071,27582,26726,27022,26653 " Coal",4014,3570,2899,2804,2781 " Petroleum",7241,7286,7273,7335,6421 " Natural Gas",16816,16727,16554,16882,17407 " Other Gases","-","-","-","-",45 "Nuclear",5156,5156,5264,5262,5271 "Renewables",5027,5087,5433,6013,6033 "Pumped Storage",1297,1297,1297,1374,1400

  18. North Carolina Total Electric Power Industry Net Generation, by Energy Source

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

    Carolina" "Energy Source",2006,2007,2008,2009,2010 "Fossil",79134,84935,80312,70232,80692 " Coal",75487,79983,75815,65083,71951 " Petroleum",451,496,320,297,293 " Natural Gas",3196,4457,4177,4852,8447 " Other Gases","-","-","-","-","-" "Nuclear",39963,40045,39776,40848,40740 "Renewables",5667,4656,4956,7065,6840 "Pumped

  19. North Carolina Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Carolina" "Energy Source",2006,2007,2008,2009,2010 "Fossil",19673,20247,20305,20230,20081 " Coal",13113,13068,13069,12952,12766 " Petroleum",563,564,558,560,573 " Natural Gas",5997,6616,6679,6718,6742 " Other Gases","-","-","-","-","-" "Nuclear",4975,4975,4958,4958,4958 "Renewables",2292,2301,2294,2294,2499 "Pumped Storage",84,84,90,86,86

  20. North Dakota Total Electric Power Industry Net Generation, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",28987,29283,29721,29712,28552 " Coal",28879,29164,29672,29607,28462 " Petroleum",42,51,49,45,38 " Natural Gas",7,17,"s",17,16 " Other Gases",59,53,"-",44,36 "Nuclear","-","-","-","-","-" "Renewables",1894,1940,2959,4484,6150 "Pumped

  1. North Dakota Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",4222,4212,4212,4243,4247 " Coal",4127,4119,4119,4148,4153 " Petroleum",77,75,75,71,71 " Natural Gas",10,10,10,15,15 " Other Gases",8,8,8,8,8 "Nuclear","-","-","-","-","-" "Renewables",617,879,1272,1720,1941 "Pumped Storage","-","-","-","-","-"

  2. Ohio Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Ohio" "Energy Source",2006,2007,2008,2009,2010 "Fossil",31582,31418,31154,31189,30705 " Coal",22264,22074,21815,21858,21360 " Petroleum",1057,1075,1047,1047,1019 " Natural Gas",8161,8169,8192,8184,8203 " Other Gases",100,100,100,100,123 "Nuclear",2120,2124,2124,2134,2134 "Renewables",175,213,214,216,231 "Pumped Storage","-","-","-","-","-"

  3. Oklahoma Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Oklahoma" "Energy Source",2006,2007,2008,2009,2010 "Fossil",18301,18083,18364,18532,18350 " Coal",5372,5364,5302,5330,5330 " Petroleum",75,70,71,71,69 " Natural Gas",12854,12649,12985,13125,12951 " Other Gases","-","-",6,6,"-" "Nuclear","-","-","-","-","-" "Renewables",1524,1618,1637,2057,2412 "Pumped

  4. Oregon Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Oregon" "Energy Source",2006,2007,2008,2009,2010 "Fossil",3349,3686,3653,3626,3577 " Coal",585,585,585,585,585 " Petroleum","-","-","-","-","-" " Natural Gas",2764,3101,3068,3041,2992 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-"

  5. Pennsylvania Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Pennsylvania" "Energy Source",2006,2007,2008,2009,2010 "Fossil",32893,32751,32654,32663,32530 " Coal",18771,18581,18513,18539,18481 " Petroleum",4664,4660,4540,4533,4534 " Natural Gas",9349,9410,9507,9491,9415 " Other Gases",110,100,94,101,100 "Nuclear",9234,9305,9337,9455,9540 "Renewables",1365,1529,1619,1971,1984 "Pumped Storage",1513,1521,1521,1521,1521

  6. Rhode Island Total Electric Power Industry Net Generation, by Energy Source

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

    Rhode Island" "Energy Source",2006,2007,2008,2009,2010 "Fossil",5813,6891,7224,7547,7595 " Coal","-","-","-","-","-" " Petroleum",33,34,26,17,12 " Natural Gas",5780,6857,7198,7530,7583 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-"

  7. Rhode Island Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Rhode Island" "Energy Source",2006,2007,2008,2009,2010 "Fossil",1743,1754,1754,1754,1754 " Coal","-","-","-","-","-" " Petroleum",31,29,26,16,16 " Natural Gas",1712,1725,1728,1738,1738 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-"

  8. South Carolina Total Electric Power Industry Net Generation, by Energy Source

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

    Carolina" "Energy Source",2006,2007,2008,2009,2010 "Fossil",45778,47765,47449,44781,48789 " Coal",39473,41583,41540,34478,37671 " Petroleum",237,217,180,523,191 " Natural Gas",6068,5965,5729,9780,10927 " Other Gases","s","s","-","-","-" "Nuclear",50797,53200,51763,52150,51988 "Renewables",3717,3552,2939,4080,4250 "Pumped

  9. South Carolina Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Carolina" "Energy Source",2006,2007,2008,2009,2010 "Fossil",12100,12682,13281,13189,13207 " Coal",6088,6641,7242,7210,7230 " Petroleum",685,685,705,669,670 " Natural Gas",5327,5355,5335,5311,5308 " Other Gases","-","-","-","-","-" "Nuclear",6472,6472,6472,6486,6486 "Renewables",1594,1587,1592,1580,1623 "Pumped Storage",2616,2826,2666,2716,2666

  10. South Dakota Total Electric Power Industry Net Generation, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",3586,3069,3912,3306,3439 " Coal",3316,2655,3660,3217,3298 " Petroleum",5,63,23,8,6 " Natural Gas",266,351,229,80,135 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",3546,3067,3140,4859,6611 "Pumped

  11. South Dakota Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",1374,1364,1449,1448,1401 " Coal",492,492,497,497,497 " Petroleum",232,226,230,230,228 " Natural Gas",649,645,722,722,676 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",1559,1506,1656,1914,2223 "Pumped

  12. Louisiana Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Louisiana" "Energy Source",2006,2007,2008,2009,2010 "Fossil",23904,23379,23207,23087,23906 " Coal",3453,3482,3482,3482,3417 " Petroleum",285,346,346,346,881 " Natural Gas",19980,19384,19345,19225,19574 " Other Gases",186,167,34,34,34 "Nuclear",2119,2127,2154,2142,2142 "Renewables",525,586,586,579,517 "Pumped Storage","-","-","-","-","-"

  13. Maine Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Maine" "Energy Source",2006,2007,2008,2009,2010 "Fossil",2770,2751,2761,2738,2738 " Coal",85,85,85,85,85 " Petroleum",1030,1031,1031,1008,1008 " Natural Gas",1655,1636,1645,1645,1645 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",1418,1462,1478,1606,1692 "Pumped

  14. Maryland Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Maryland" "Energy Source",2006,2007,2008,2009,2010 "Fossil",10071,10028,10125,10050,10012 " Coal",4958,4958,4944,4876,4886 " Petroleum",3140,2965,2991,2986,2933 " Natural Gas",1821,1953,2038,2035,2041 " Other Gases",152,152,152,152,152 "Nuclear",1735,1735,1735,1705,1705 "Renewables",693,723,725,727,799 "Pumped Storage","-","-","-","-","-"

  15. Massachusetts Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Massachusetts" "Energy Source",2006,2007,2008,2009,2010 "Fossil",11050,10670,10621,10770,10763 " Coal",1743,1744,1662,1668,1669 " Petroleum",3219,3137,3120,3125,3031 " Natural Gas",6089,5789,5839,5977,6063 " Other Gases","-","-","-","-","-" "Nuclear",685,685,685,685,685 "Renewables",554,560,557,564,566 "Pumped Storage",1643,1643,1643,1680,1680

  16. Michigan Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Michigan" "Energy Source",2006,2007,2008,2009,2010 "Fossil",23693,23826,23805,23691,23205 " Coal",11860,11910,11921,11794,11531 " Petroleum",1499,673,667,684,640 " Natural Gas",10322,11242,11218,11214,11033 " Other Gases",12,"-","-","-","-" "Nuclear",4006,3969,3969,3953,3947 "Renewables",618,638,773,792,807 "Pumped Storage",1872,1872,1872,1872,1872

  17. Mississippi Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Mississippi" "Energy Source",2006,2007,2008,2009,2010 "Fossil",15125,14707,14454,14340,14205 " Coal",2548,2542,2555,2555,2526 " Petroleum",36,36,36,35,35 " Natural Gas",12537,12125,11859,11746,11640 " Other Gases",4,4,4,4,4 "Nuclear",1266,1268,1259,1251,1251 "Renewables",229,229,229,229,235 "Pumped Storage","-","-","-","-","-"

  18. Missouri Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Missouri" "Energy Source",2006,2007,2008,2009,2010 "Fossil",18197,18099,18126,18101,18861 " Coal",11299,11259,11240,11231,12070 " Petroleum",1279,1287,1282,1272,1212 " Natural Gas",5619,5553,5604,5598,5579 " Other Gases","-","-","-","-","-" "Nuclear",1190,1190,1190,1190,1190 "Renewables",555,612,734,880,1030 "Pumped Storage",657,657,657,657,657

  19. Montana Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Montana" "Energy Source",2006,2007,2008,2009,2010 "Fossil",2671,2671,2682,2701,2782 " Coal",2460,2458,2442,2442,2442 " Petroleum",57,59,57,57,54 " Natural Gas",154,154,181,200,284 " Other Gases","-","-",2,2,2 "Nuclear","-","-","-","-","-" "Renewables",2766,2809,2932,3078,3085 "Pumped

  20. Nebraska Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Nebraska" "Energy Source",2006,2007,2008,2009,2010 "Fossil",5478,5423,5459,6123,6169 " Coal",3204,3204,3204,3871,3932 " Petroleum",642,330,382,387,387 " Natural Gas",1632,1889,1874,1864,1849 " Other Gases","-","-","-","-","-" "Nuclear",1238,1240,1252,1252,1245 "Renewables",355,308,313,393,443 "Pumped

  1. Nevada Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Nevada" "Energy Source",2006,2007,2008,2009,2010 "Fossil",8412,8638,9942,9950,9914 " Coal",2657,2689,2916,2916,2873 " Petroleum",45,45,45,45,45 " Natural Gas",5711,5905,6982,6990,6996 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",1236,1316,1355,1446,1507 "Pumped

  2. New Hampshire Total Electric Power Industry Net Generation, by Energy Source

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

    New Hampshire" "Energy Source",2006,2007,2008,2009,2010 "Fossil",10331,10066,10660,8411,8519 " Coal",3885,3927,3451,2886,3083 " Petroleum",439,385,136,183,72 " Natural Gas",6007,5754,7073,5342,5365 " Other Gases","-","-","-","-","-" "Nuclear",9398,10764,9350,8817,10910 "Renewables",2275,2389,2808,2878,2710 "Pumped

  3. New Hampshire Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    New Hampshire" "Energy Source",2006,2007,2008,2009,2010 "Fossil",2411,2371,2235,2226,2262 " Coal",528,528,528,528,546 " Petroleum",529,503,503,501,501 " Natural Gas",1354,1341,1205,1198,1215 " Other Gases","-","-","-","-","-" "Nuclear",1244,1245,1245,1247,1247 "Renewables",685,663,694,691,671 "Pumped

  4. New Jersey Total Electric Power Industry Net Generation, by Energy Source

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

    Jersey" "Energy Source",2006,2007,2008,2009,2010 "Fossil",26910,29576,30264,26173,31662 " Coal",10862,10211,9028,5100,6418 " Petroleum",270,453,325,278,235 " Natural Gas",15668,18752,20752,20625,24902 " Other Gases",110,161,159,170,106 "Nuclear",32568,32010,32195,34328,32771 "Renewables",952,864,931,992,868 "Pumped Storage",-299,-269,-275,-202,-194 "Other",569,489,559,520,575

  5. New Jersey Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Jersey" "Energy Source",2006,2007,2008,2009,2010 "Fossil",14363,13741,13771,13759,13676 " Coal",2124,2054,2054,2065,2036 " Petroleum",1810,1345,1514,1362,1351 " Natural Gas",10385,10298,10159,10288,10244 " Other Gases",44,44,44,44,44 "Nuclear",3984,3984,4108,4108,4108 "Renewables",212,215,219,221,230 "Pumped Storage",400,400,400,400,400 "Other",11,11,11,11,11

  6. New Mexico Total Electric Power Industry Net Generation, by Energy Source

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

    Mexico" "Energy Source",2006,2007,2008,2009,2010 "Fossil",35790,34308,35033,37823,34180 " Coal",29859,27604,27014,29117,25618 " Petroleum",41,44,53,45,50 " Natural Gas",5890,6660,7966,8661,8512 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",1476,1677,1974,1851,2072 "Pumped

  7. New Mexico Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Mexico" "Energy Source",2006,2007,2008,2009,2010 "Fossil",6520,6620,7366,7308,7312 " Coal",3957,3957,3957,3977,3990 " Petroleum",28,28,28,28,24 " Natural Gas",2535,2634,3381,3302,3298 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",582,582,584,686,818 "Pumped

  8. Alabama Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Alabama" "Energy Source",2006,2007,2008,2009,2010 "Fossil",21804,21784,22372,22540,23519 " Coal",11557,11544,11506,11486,11441 " Petroleum",43,43,43,43,43 " Natural Gas",10104,10098,10724,10912,11936 " Other Gases",100,100,100,100,100 "Nuclear",5008,4985,4985,4985,5043 "Renewables",3852,3846,3865,3863,3855 "Pumped Storage","-","-","-","-","-"

  9. Alaska Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Alaska" "Energy Source",2006,2007,2008,2009,2010 "Fossil",1485,1561,1593,1591,1618 " Coal",105,105,112,111,111 " Petroleum",575,622,643,644,663 " Natural Gas",805,834,838,836,845 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",400,400,403,422,422 "Pumped

  10. Arizona Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Arizona" "Energy Source",2006,2007,2008,2009,2010 "Fossil",18784,18756,18942,19351,19338 " Coal",5830,5818,5818,6227,6233 " Petroleum",90,93,93,93,93 " Natural Gas",12864,12845,13031,13031,13012 " Other Gases","-","-","-","-","-" "Nuclear",3872,3872,3942,3942,3937 "Renewables",2736,2736,2762,2826,2901 "Pumped Storage",216,216,216,216,216

  11. Arkansas Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Arkansas" "Energy Source",2006,2007,2008,2009,2010 "Fossil",10965,11807,11756,11753,12451 " Coal",3846,3846,3861,3864,4535 " Petroleum",23,22,22,22,22 " Natural Gas",7096,7939,7873,7867,7894 " Other Gases","-","-","-","-","-" "Nuclear",1824,1838,1839,1835,1835 "Renewables",1691,1623,1643,1659,1667 "Pumped Storage",28,28,28,28,28

  12. California Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    California" "Energy Source",2006,2007,2008,2009,2010 "Fossil",39351,39961,39950,41443,42654 " Coal",389,389,367,367,374 " Petroleum",789,754,752,734,701 " Natural Gas",38001,38556,38635,40146,41370 " Other Gases",171,262,197,197,209 "Nuclear",4390,4390,4390,4390,4390 "Renewables",15776,15774,15945,16295,16460 "Pumped Storage",3688,3688,3813,3813,3813 "Other",8,"-",7,7,11

  13. Colorado Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Colorado" "Energy Source",2006,2007,2008,2009,2010 "Fossil",9644,9979,10229,10545,11204 " Coal",4939,4961,4965,5010,5702 " Petroleum",181,182,184,178,178 " Natural Gas",4523,4836,5080,5357,5325 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",950,1746,1753,1931,2010 "Pumped

  14. Connecticut Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Connecticut" "Energy Source",2006,2007,2008,2009,2010 "Fossil",5498,5361,5466,5582,5845 " Coal",551,551,553,564,564 " Petroleum",2926,2709,2741,2749,2989 " Natural Gas",2020,2100,2171,2268,2292 " Other Gases","-","-","-","-","-" "Nuclear",2037,2022,2015,2103,2103 "Renewables",316,285,287,287,281 "Pumped Storage",4,29,29,29,29

  15. Delaware Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Delaware" "Energy Source",2006,2007,2008,2009,2010 "Fossil",3367,3350,3344,3355,3379 " Coal",1083,1083,1083,1074,1054 " Petroleum",695,698,557,557,563 " Natural Gas",1282,1262,1397,1417,1455 " Other Gases",307,307,307,307,307 "Nuclear","-","-","-","-","-" "Renewables",7,7,7,7,10 "Pumped

  16. Florida Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Florida" "Energy Source",2006,2007,2008,2009,2010 "Fossil",48044,50280,50166,53733,53791 " Coal",10333,10297,10265,10261,9975 " Petroleum",11677,11671,13128,12602,12033 " Natural Gas",26035,28312,26773,30870,31563 " Other Gases","-","-","-","-",220 "Nuclear",3902,3902,3924,3924,3924 "Renewables",1008,1048,1046,1093,1182 "Pumped

  17. Georgia Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Georgia" "Energy Source",2006,2007,2008,2009,2010 "Fossil",28238,28096,28078,28103,28087 " Coal",13438,13275,13256,13211,13230 " Petroleum",2182,2169,2187,2188,2189 " Natural Gas",12618,12652,12635,12705,12668 " Other Gases","-","-","-","-","-" "Nuclear",4060,3995,4061,4061,4061 "Renewables",2526,2706,2642,2648,2689 "Pumped

  18. Hawaii Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Hawaii" "Energy Source",2006,2007,2008,2009,2010 "Fossil",2208,2209,2208,2223,2196 " Coal",180,180,180,180,180 " Petroleum",2019,2020,2019,2034,2007 " Natural Gas","-","-","-","-","-" " Other Gases",9,9,9,9,9 "Nuclear","-","-","-","-","-" "Renewables",206,227,228,341,340 "Pumped

  19. Idaho Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Idaho" "Energy Source",2006,2007,2008,2009,2010 "Fossil",667,667,828,834,834 " Coal",17,17,17,17,17 " Petroleum",5,5,5,5,5 " Natural Gas",645,645,805,812,812 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",2528,2514,2535,2909,3140 "Pumped

  20. Illinois Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Illinois" "Energy Source",2006,2007,2008,2009,2010 "Fossil",30626,30435,30662,30795,30554 " Coal",15731,15582,15653,15852,15551 " Petroleum",1143,1097,1099,1090,1106 " Natural Gas",13705,13709,13870,13806,13771 " Other Gases",47,47,40,47,125 "Nuclear",11379,11379,11379,11441,11441 "Renewables",264,916,1145,1777,2112 "Pumped Storage","-","-","-","-","-"

  1. Indiana Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Indiana" "Energy Source",2006,2007,2008,2009,2010 "Fossil",26899,26922,26850,26808,26186 " Coal",19718,19759,19721,19757,19096 " Petroleum",503,503,503,503,504 " Natural Gas",6052,6048,6007,6003,5766 " Other Gases",626,612,618,545,819 "Nuclear","-","-","-","-","-" "Renewables",91,99,229,1141,1452 "Pumped

  2. Iowa Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Iowa" "Energy Source",2006,2007,2008,2009,2010 "Fossil",9496,10391,10340,10467,10263 " Coal",6097,6967,6928,7107,6956 " Petroleum",1027,1023,1017,1014,1007 " Natural Gas",2371,2402,2395,2346,2299 " Other Gases","-","-","-","-","-" "Nuclear",581,580,580,601,601 "Renewables",1067,1316,2791,3511,3728 "Pumped

  3. Kansas Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Kansas" "Energy Source",2006,2007,2008,2009,2010 "Fossil",9592,9709,10017,10355,10302 " Coal",5203,5208,5190,5180,5179 " Petroleum",565,569,564,564,550 " Natural Gas",3824,3932,4262,4611,4573 " Other Gases","-","-","-","-","-" "Nuclear",1166,1166,1160,1160,1160 "Renewables",366,366,815,1014,1082 "Pumped

  4. Kentucky Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Kentucky" "Energy Source",2006,2007,2008,2009,2010 "Fossil",19177,19088,19016,19268,19560 " Coal",14386,14374,14301,14553,14566 " Petroleum",135,77,77,77,70 " Natural Gas",4656,4638,4638,4638,4924 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",871,880,886,893,893 "Pumped

  5. Tennessee Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Tennessee" "Energy Source",2006,2007,2008,2009,2010 "Fossil",13051,12974,12999,12982,13517 " Coal",8841,8816,8841,8805,8805 " Petroleum",58,58,58,58,58 " Natural Gas",4153,4101,4101,4120,4655 " Other Gases","-","-","-","-","-" "Nuclear",3398,3397,3397,3401,3401 "Renewables",2821,2838,2842,2817,2847 "Pumped Storage",1635,1653,1653,1653,1653

  6. Texas Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Texas" "Energy Source",2006,2007,2008,2009,2010 "Fossil",92088,91494,91450,87547,92136 " Coal",19843,19817,20189,20247,22335 " Petroleum",220,216,218,221,204 " Natural Gas",71737,71152,70856,66896,69291 " Other Gases",287,308,187,184,306 "Nuclear",4860,4860,4927,4927,4966 "Renewables",3607,5385,8380,10354,10985 "Pumped Storage","-","-","-","-","-"

  7. Utah Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Utah" "Energy Source",2006,2007,2008,2009,2010 "Fossil",6398,6830,6819,6897,6969 " Coal",4891,4871,4871,4871,4903 " Petroleum",35,25,25,25,23 " Natural Gas",1473,1934,1923,2002,2042 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",282,293,313,521,528 "Pumped

  8. Vermont Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Vermont" "Energy Source",2006,2007,2008,2009,2010 "Fossil",108,101,101,100,100 " Coal","-","-","-","-","-" " Petroleum",108,101,101,100,100 " Natural Gas","-","-","-","-","-" " Other Gases","-","-","-","-","-" "Nuclear",620,620,620,620,620

  9. Virginia Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Virginia" "Energy Source",2006,2007,2008,2009,2010 "Fossil",14968,15080,15543,15740,15880 " Coal",5774,5794,5773,5777,5868 " Petroleum",2386,2418,2418,2427,2432 " Natural Gas",6809,6869,7351,7536,7581 " Other Gases","-","-","-","-","-" "Nuclear",3432,3404,3404,3404,3501 "Renewables",1251,1347,1368,1403,1487 "Pumped Storage",2997,3161,3161,3241,3241

  10. Washington Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Washington" "Energy Source",2006,2007,2008,2009,2010 "Fossil",4436,4343,5130,5145,5183 " Coal",1405,1405,1376,1376,1340 " Petroleum",40,4,4,5,15 " Natural Gas",2991,2933,3750,3764,3828 " Other Gases","-","-","-","-","-" "Nuclear",1131,1131,1131,1131,1097 "Renewables",22343,22828,22919,23504,23884 "Pumped Storage",314,314,314,314,314

  11. West Virginia Total Electric Power Industry Net Generation, by Energy Source

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

    West Virginia" "Energy Source",2006,2007,2008,2009,2010 "Fossil",92063,92511,89481,68395,78482 " Coal",91473,91866,89113,68080,78148 " Petroleum",175,200,137,169,155 " Natural Gas",362,389,180,109,140 " Other Gases",53,56,50,36,40 "Nuclear","-","-","-","-","-" "Renewables",1746,1422,1640,2388,2307 "Pumped

  12. West Virginia Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    West Virginia" "Energy Source",2006,2007,2008,2009,2010 "Fossil",16113,15769,15756,15766,15779 " Coal",14745,14715,14703,14713,14713 " Petroleum",12,12,11,11,11 " Natural Gas",1357,1042,1042,1042,1056 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",330,330,594,594,715 "Pumped

  13. Wisconsin Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Wisconsin" "Energy Source",2006,2007,2008,2009,2010 "Fossil",14000,13926,15015,14928,14964 " Coal",7063,6945,7597,7519,8063 " Petroleum",881,949,874,873,790 " Natural Gas",6056,6032,6544,6536,6110 " Other Gases","-","-","-","-","-" "Nuclear",1582,1582,1582,1583,1584 "Renewables",813,836,1003,1212,1267 "Pumped

  14. Wyoming Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Wyoming" "Energy Source",2006,2007,2008,2009,2010 "Fossil",6105,6065,6150,6147,6253 " Coal",5847,5847,5932,5929,6035 " Petroleum",6,7,7,7,7 " Natural Gas",160,120,120,120,120 " Other Gases",92,92,92,92,92 "Nuclear","-","-","-","-","-" "Renewables",590,590,983,1408,1722 "Pumped

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

    Reports and Publications (EIA)

    2015-01-01

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

  16. 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.

  17. ,"Total Natural Gas Consumption

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

    Gas Consumption (billion cubic feet)",,,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  18. ,"Total Fuel Oil Consumption

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

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

  19. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

  20. ,"Total Fuel Oil Consumption

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

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

  1. 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 ...

  2. Buildings and Energy in the 1980s

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

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

  3. Buildings and Energy in the 1980s

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

    No. PB83-199554, 220. Residential Energy Consumption Survey: Household Transportation Panel Monthly Gas Purchases and Vehicle and Household Characteristics, 679-981; Order...

  4. Residential Energy Efficiency Demonstration: Hawaii and Guam Energy Improvement Technology Demonstration Project

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

    questionnaires 0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 81.6 65.3 142.5 38 17 30.3 11 625 0.29 500 178 Census Region and Division

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

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

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

  6. New York Household Travel Patterns: A Comparison Analysis

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim

    2007-05-01

    In 1969, the U. S. Department of Transportation began collecting detailed data on personal travel to address various transportation planning issues. These issues range from assessing transportation investment programs to developing new technologies to alleviate congestion. This 1969 survey was the birth of the Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. In 2001, the survey was renamed to the National Household Travel Survey (NHTS) and collected both daily and longer-distance trips in one survey. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State (NYS), the state procured an additional sample of households in both the 1995 and 2001 surveys. In the 1995 survey, NYS procured an addition sample of more than 9,000 households, increasing the final NY NPTS sample size to a total of 11,004 households. Again in 2001, NYS procured 12,000 additional sample households, increasing the final New York NHTS sample size to a total of 13,423 households with usable data. These additional sample households allowed NYS to address transportation planning issues pertinent to geographic areas significantly smaller than for what the national NPTS and NHTS data are intended. Specifically, these larger sample sizes enable detailed analysis of twelve individual Metropolitan Planning Organizations (MPOs). Furthermore, they allowed NYS to address trends in travel behavior over time. In this report, travel data for the entire NYS were compared to those of the rest of the country with respect to personal travel behavior and key travel determinants. The influence of New York City (NYC) data on the comparisons of the state of New York to the rest of the country was also examined. Moreover, the analysis examined the relationship between population density and travel patterns, and the similarities and differences among New York MPOs. The 1995 and 2001 survey data make it possible to examine and identify travel trends over time. This report does not address, however, the causes of the differences and/or trends.

  7. Environmental assessment of air quality, noise and cooling tower drift from the Jersey City Total Energy Demonstration

    SciTech Connect (OSTI)

    Davis, W.T.; Kolb, J.O.

    1980-06-01

    This assessment covers three specific effects from the operation of the Total Energy (TE) demonstration: (1) air quality from combustion emissions of 600 kW diesel engines and auxiliary boilers fueled with No. 2 distillate oil, (2) noise levels from TE equipment operation, (3) cooling tower drift from two, 2220 gpm, forced-draft cooling towers. For the air quality study, measurements were performed to determine both the combustion emission rates and ground-level air quality at the Demonstration site. Stack analysis of NO/sub x/, SO/sub 2/, CO, particulates, and total hydrocarbons characterized emission rates over a range of operating conditions. Ground-level air quality was monitored during two six-week periods during the summer and winter of 1977. The noise study was performed by measuring sound levels in db(A) in the area within approximately 60 m of the CEB. The noise survey investigated the effects on noise distribution of different wind conditions, time of day or night, and condition of doors - open or closed - near the diesel engines in the CEB. In the cooling tower study, drift emission characteristics were measured to quantify the drift emission before and after cleaning of the tower internals to reduce fallout of large drift droplets in the vicinity of the CEB.

  8. Fission Fragment Mass Distributions and Total Kinetic Energy Release of 235-Uranium and 238-Uranium in Neutron-Induced Fission at Intermediate and Fast Neutron Energies

    SciTech Connect (OSTI)

    Duke, Dana Lynn

    2015-11-12

    This Ph.D. dissertation describes a measurement of the change in mass distributions and average total kinetic energy (TKE) release with increasing incident neutron energy for fission of 235U and 238U. Although fission was discovered over seventy-five years ago, open questions remain about the physics of the fission process. The energy of the incident neutron, En, changes the division of energy release in the resulting fission fragments, however, the details of energy partitioning remain ambiguous because the nucleus is a many-body quantum system. Creating a full theoretical model is difficult and experimental data to validate existing models are lacking. Additional fission measurements will lead to higher-quality models of the fission process, therefore improving applications such as the development of next-generation nuclear reactors and defense. This work also paves the way for precision experiments such as the Time Projection Chamber (TPC) for fission cross section measurements and the Spectrometer for Ion Determination in Fission (SPIDER) for precision mass yields.

  9. Saving Water Saves Energy

    SciTech Connect (OSTI)

    McMahon, James E.; Whitehead, Camilla Dunham; Biermayer, Peter

    2006-06-15

    Hot water use in households, for showers and baths as wellas for washing clothes and dishes, is a major driver of household energyconsumption. Other household uses of water (such as irrigatinglandscaping) require additional energy in other sectors to transport andtreat the water before use, and to treat wastewater. In California, 19percent of total electricity for all sectors combined and 32 percent ofnatural gas consumption is related to water. There is a criticalinterdependence between energy and water systems: thermal power plantsrequire cooling water, and water pumping and treatment require energy.Energy efficiency can be increased by a number of means, includingmore-efficient appliances (e.g., clothes washers or dishwashers that useless total water and less heated water), water-conserving plumbingfixtures and fittings (e.g., showerheads, faucets, toilets) and changesin consumer behavior (e.g., lower temperature set points for storagewater heaters, shorter showers). Water- and energy-conserving activitiescan help offset the stress imposed on limited water (and energy) suppliesfrom increasing population in some areas, particularly in drought years,or increased consumption (e.g., some new shower systems) as a result ofincreased wealth. This paper explores the connections between householdwater use and energy, and suggests options for increased efficiencies inboth individual technologies and systems. Studies indicate that urbanwater use can be reduced cost-effectively by up to 30 percent withcommercially available products. The energy savings associated with watersavings may represent a large additional and largely untappedcost-effective opportunity.

  10. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 2: appendices A-D to technical report

    SciTech Connect (OSTI)

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline- powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume II contains additional details on the vehicle, utility, and materials analyses and discusses several details of the methodology.

  11. Total energy cycle assessment of electric and conventional vehicles: an energy and environmental analysis. Volume 4: peer review comments on technical report

    SciTech Connect (OSTI)

    1998-01-01

    This report compares the energy use, oil use and emissions of electric vehicles (EVs) with those of conventional, gasoline-powered vehicles (CVs) over the total life cycle of the vehicles. The various stages included in the vehicles` life cycles include vehicle manufacture, fuel production, and vehicle operation. Disposal is not included. An inventory of the air emissions associated with each stage of the life cycle is estimated. Water pollutants and solid wastes are reported for individual processes, but no comprehensive inventory is developed. Volume IV includes copies of all the external peer review comments on the report distributed for review in July 1997.

  12. homeoffice_household2001.pdf

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

    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 ......

  13. spaceheat_household2001.pdf

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

    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 ......

  14. 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...

  15. Microsoft Word - Household Energy Use CA

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

    US PAC CA 1990-2009 1970-1989 1950-1969 Before 1950 YEAR OF CONSTRUCTION AVERAGE SQUARE FOOTAGE US 1,971 PAC 1,605 CA 1,583 NO. OF TELEVISIONS HAVE A DVR NO. OF REFRIGERATORS 0% ...

  16. 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...

  17. 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...

  18. 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,...

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

    SciTech Connect (OSTI)

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

    2005-05-31

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

  20. DOE/EIA-032171(84) Energy Information Administration Residential...

    Gasoline and Diesel Fuel Update (EIA)

    it was used to screen households for participation in the Household Transportation Panel. 190 1984 RECS: Consumption and Expenditures, National Data Energy Information...

  1. DOE/EIA-0516(85) Energy Information Administration Manufacturing...

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

    Order No. PB83- 199554HAA Residential Energy Consumption Survey: HouseholdTransportation Panel Monthly Gas Purchases and Vehicle and Household Characteristics, 6179-9181 * Order...

  2. Junior Energy | Open Energy Information

    Open Energy Info (EERE)

    York Zip: 10003 Product: New York-based organization working with schools to teach children about practical ways to save energy in their own households and neighborhoods....

  3. Energy Saver Blog | Department of Energy

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

    Home cooling accounts for 6 percent of the average household's energy use. To help you save money by saving energy, our experts are answering your home cooling questions. |...

  4. Combined iterative reconstruction and image-domain decomposition for dual energy CT using total-variation regularization

    SciTech Connect (OSTI)

    Dong, Xue; Niu, Tianye; Zhu, Lei

    2014-05-15

    Purpose: Dual-energy CT (DECT) is being increasingly used for its capability of material decomposition and energy-selective imaging. A generic problem of DECT, however, is that the decomposition process is unstable in the sense that the relative magnitude of decomposed signals is reduced due to signal cancellation while the image noise is accumulating from the two CT images of independent scans. Direct image decomposition, therefore, leads to severe degradation of signal-to-noise ratio on the resultant images. Existing noise suppression techniques are typically implemented in DECT with the procedures of reconstruction and decomposition performed independently, which do not explore the statistical properties of decomposed images during the reconstruction for noise reduction. In this work, the authors propose an iterative approach that combines the reconstruction and the signal decomposition procedures to minimize the DECT image noise without noticeable loss of resolution. Methods: The proposed algorithm is formulated as an optimization problem, which balances the data fidelity and total variation of decomposed images in one framework, and the decomposition step is carried out iteratively together with reconstruction. The noise in the CT images from the proposed algorithm becomes well correlated even though the noise of the raw projections is independent on the two CT scans. Due to this feature, the proposed algorithm avoids noise accumulation during the decomposition process. The authors evaluate the method performance on noise suppression and spatial resolution using phantom studies and compare the algorithm with conventional denoising approaches as well as combined iterative reconstruction methods with different forms of regularization. Results: On the Catphan600 phantom, the proposed method outperforms the existing denoising methods on preserving spatial resolution at the same level of noise suppression, i.e., a reduction of noise standard deviation by one order of magnitude. This improvement is mainly attributed to the high noise correlation in the CT images reconstructed by the proposed algorithm. Iterative reconstruction using different regularization, including quadratic orq-generalized Gaussian Markov random field regularization, achieves similar noise suppression from high noise correlation. However, the proposed TV regularization obtains a better edge preserving performance. Studies of electron density measurement also show that our method reduces the average estimation error from 9.5% to 7.1%. On the anthropomorphic head phantom, the proposed method suppresses the noise standard deviation of the decomposed images by a factor of ?14 without blurring the fine structures in the sinus area. Conclusions: The authors propose a practical method for DECT imaging reconstruction, which combines the image reconstruction and material decomposition into one optimization framework. Compared to the existing approaches, our method achieves a superior performance on DECT imaging with respect to decomposition accuracy, noise reduction, and spatial resolution.

  5. EIA - Annual Energy Outlook 2016 Early Release

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

    Thank

    Overview U.S. Territories: American Samoa | Guam | Northern Mariana Islands | Puerto Rico | U.S. Virgin Islands More State Data & Analysis by Source Petroleum Natural Gas Electricity Coal Renewable & Alternative Fuels Nuclear Environment Total Energy Summary Reports Household Energy Use State Electricity Summaries State Renewable Electricity Statistics State Nuclear Summaries Natural Gas Summary Statistics Today In Energy Hydropower conditions improve as West Coast drought eases

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

    Buildings Energy Data Book [EERE]

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

  7. 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...

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

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

    Household Gasoline Expenditures by Income Quintile Bar graph showing the household gasoline expenditures by income quintile in the years 1989, 1997, and 2007. For more detailed ...

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

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

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

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

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

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

  11. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

    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

  12. Search results | Department of Energy

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

    with household appliances, transportation, and their own bodies. However, the nature of energy, energy transformations, and energy conservation are poorly understood, even...

  13. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

  14. 11 Carbon-Fighting Energy Technologies | Department of Energy

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

    1 Carbon-Fighting Energy Technologies 11 Carbon-Fighting Energy Technologies Addthis SCALING NEW HEIGHTS WITH WIND ENERGY 1 of 11 SCALING NEW HEIGHTS WITH WIND ENERGY Wind is here to stay as a mainstream power source in the United States, providing 4.4 percent of total electricity generation. As of 2014, there were more than 65,000 megawatts of utility-scale wind power deployed across 39 states -- enough to generate electricity for more than 16 million households. This upswing, thanks in part to

  15. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Alaska" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",17,34,"NA",19,"NA","NA","NA"," " "Number of retail

  16. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    District of Columbia" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,"NA","NA","NA","NA",26,1," " "Number of retail

  17. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Florida" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",11,33,"NA",16,"NA","NA","NA"," " "Number of retail

  18. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Hawaii" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",14,"NA","NA",1,2,"NA","NA"," " "Number of retail

  19. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Indiana" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",7,72,"NA",39,"NA","NA","NA"," " "Number of retail

  20. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Iowa" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,137,"NA",42,"NA","NA","NA"," " "Number of retail

  1. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Louisiana" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",7,22,"NA",12,"NA","NA","NA"," " "Number of retail

  2. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Missouri" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",5,86,"NA",42,"NA","NA","NA"," " "Number of retail

  3. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Nebraska" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities","NA",148,1,10,"NA","NA","NA"," " "Number of retail

  4. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Carolina" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",4,22,"NA",21,"NA","NA","NA"," " "Number of retail

  5. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    West Virginia" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",5,2,"NA",2,"NA","NA","NA"," " "Number of retail

  6. GTZ Global Energy Program | Open Energy Information

    Open Energy Info (EERE)

    to households, SME and public utility institutions. Key products include access to modern energy services and promotion of new technologies. References "GTZ projects"...

  7. Stepped-anneal and total helium/hydrogen measurements in high-energy proton-irradiated tungsten

    SciTech Connect (OSTI)

    Oliver, B.M.; Hamilton, M.L.; Garner, F.A.; Sommer, W.F.; Maloy, S.A.; Ferguson, P.D.

    1998-12-31

    To provide structural material design data for the Accelerator Production of Tritium (APT) project, a 1 mA, 800 MeV proton beam at the Los Alamos Neutron Science Center (LANSCE) was used to irradiate a large number of metal samples, including a tungsten target similar to that being considered as the neutron source for the tritium production. The maximum proton fluence to the tungsten target was {approximately} 10{sup 21} protons/cm{sup 2}. An unavoidable byproduct of spallation reactions is the formation of large amounts of hydrogen and helium. Postulated accident scenarios for APT involving the use of tungsten rods clad with Alloy 718, raise concerns as to the amount and rate of release of these gases due to temperatures increases from afterheat accumulation, with the major concern being pressurizing and possibly failure of the cladding. To address these issues, portions of the LANSCE tungsten rods were subjected to temperature histories calculated as likely to occur, and the time-dependent evolution of helium and hydrogen gases was measured. Stepped-anneal and total helium/hydrogen measurements were conducted on multiple samples of the tungsten material. Helium measurements were conducted at Pacific Northwest National Laboratory (PNNL) using a high-sensitivity magnetic-sector isotope-dilution helium analysis system. Stepped-anneal measurements were conducted at temperatures from {approximately} 25 C to {approximately} 1,600 C in {approximately} 100 C steps. Total helium measurements were conducted by rapid vaporization after completion of the stepped-anneal process, and are compared with Monte Carlo calculations performed at Los Alamos National Laboratory (LANL) using the LAHET code system. Hydrogen measurements were conducted between {approximately} 750 C and {approximately} 1,200 C using a high-temperature furnace that had been extensively modified for the application. Hydrogen detection was accomplished by periodic sampling of the furnace gas using a separate quadrupole analyzer. Hydrogen measurements are also compared with LANL calculations.

  8. 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

  9. Total Space Heating Water Heating Cook-

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

    Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing...

  10. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

  11. Hadronic Total Cross Sections (R) in E+E- Interactions: Data from DOE laboratory experiments as compiled in data reviews by the Durham High Energy Physics Database Group

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Whalley, M. R.

    A comprehensive compilation of experimental data on total hadronic cross sections, and R ratios, in e+e- interactions is presented. Published data from the Novosibirsk, Orsay, Frascati, SLAC, CORNELL, DESY, KEK and CERN e+e- colliders on both exclusive and inclusive final particle states are included from threshold energies to the highest LEP energies. The data are presented in tabular form supplemented by compilation plots of different exclusive final particle states and of different energy regions. (Taken from abstract of paper, A Compilation of Data on Hadronic Total Cross Sections in E+E- Interactions, M.R. Whalley, Journal of Physics G (Nuclear and Particle Physics), Volume 29, Number 12A, 2003). The Durham High Energy Physics (HEP) Database Group makes these data, extracted from papers and data reviews, available in one place in an easy-to-access format. The data are also included in the Durham HEP Reaction Data Database, which can be searched at http://hepdata.cedar.ac.uk/reaction

  12. EERE Success Story-Kingston Creek Hydro Project Powers 100 Households |

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

    Department of Energy Kingston Creek Hydro Project Powers 100 Households EERE Success Story-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

  13. State Total

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

    State Total Percent of U.S. total Alabama 1,652 0.0 Alaska 152 0.0 Arizona 912,975 19.9 Arkansas 2,724 0.1 California 2,239,983 48.8 Colorado 49,903 1.1 Connecticut 33,627 0.7 Delaware 3,080 0.1 District of Columbia 1,746 0.0 Florida 22,061 0.5 Georgia 99,713 2.2 Guam 39 0.0 Hawaii 126,595 2.8 Idaho 1,423 0.0 Illinois 8,176 0.2 Indiana 12,912 0.3 Iowa 4,480 0.1 Kansas 523 0.0 Kentucky 2,356 0.1 Louisiana 27,704 0.6 Maine 993 0.0 Maryland 30,528 0.7 Massachusetts 143,539 3.1 Michigan 3,416 0.1

  14. Search results | Department of Energy

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

    counted and priced. They measure and evaluate energy use and cost of representative household and school electrical items. http:energy.goveereeducationdownloads...

  15. 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.

  16. "Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"

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

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

  17. Buildings Energy Data Book: 2.2 Residential Sector Characteristics

    Buildings Energy Data Book [EERE]

    6 Residential Heated Floorspace, as of 2005 (Percent of Total Households) Floorspace (SF) Fewer than 500 6% 500 to 999 26% 1,000 to 1,499 24% 1,500 to 1,999 16% 2,000 to 2,499 9% 2,500 to 2,999 7% 3,000 or more 11% Total 100% Source(s): EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table HC1-3.

  18. "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

  19. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Arizona" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",23,29,3,9,11,"NA","NA"," " "Number of retail customers",1675038,1078638,16690,187629,12,"NA","NA",2958007 "Retail sales

  20. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    California" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",29,41,2,4,65,17,3," " "Number of retail customers",11676056,3110257,2197,16506,69,185755,"NA",14990840 "Retail sales

  1. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Colorado" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",10,29,1,28,7,"NA","NA"," " "Number of retail customers",1500660,428854,13,632335,7,"NA","NA",2561869 "Retail sales

  2. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Connecticut" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",7,8,"NA","NA",3,35,2," " "Number of retail customers",948486,71741,"NA","NA",3,597272,"NA",1617502 "Retail sales

  3. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Delaware" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",2,9,"NA",1,1,27,1," " "Number of retail customers",267434,66283,"NA",88026,1,38537,"NA",460281 "Retail sales

  4. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Georgia" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",2,53,"NA",42,1,"NA","NA"," " "Number of retail customers",2410042,333203,"NA",1966788,31,"NA","NA",4710064

  5. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Idaho" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,11,2,17,"NA","NA","NA"," " "Number of retail customers",693393,43895,1,84578,"NA","NA","NA",821867 "Retail

  6. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Illinois" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",4,41,"NA",26,2,53,3," " "Number of retail customers",1911129,270483,"NA",301219,318,3268220,"NA",5751369 "Retail sales

  7. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Kansas" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",4,118,1,29,"NA","NA","NA"," " "Number of retail customers",953679,235288,4,292717,"NA","NA","NA",1481688 "Retail

  8. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Kentucky" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",5,30,1,24,2,"NA","NA"," " "Number of retail customers",1220619,210206,17,813201,4,"NA","NA",2244047 "Retail sales

  9. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Maine" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",2,4,"NA",2,1,32,6," " "Number of retail customers",39,10603,"NA",2535,1,788335,"NA",801513 "Retail sales

  10. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Maryland" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",10,5,"NA",3,8,52,5," " "Number of retail customers",1638979,28808,"NA",208447,8,610640,"NA",2486882 "Retail sales

  11. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Massachusetts" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",13,40,"NA","NA",27,40,5," " "Number of retail customers",2182382,399857,"NA","NA",40,544399,"NA",3126678 "Retail

  12. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Michigan" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",8,41,"NA",10,2,12,3," " "Number of retail customers",4177118,306315,"NA",318985,2,6419,"NA",4808839 "Retail sales

  13. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Mississippi" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",2,23,1,25,"NA","NA","NA"," " "Number of retail customers",628656,134500,7,741758,"NA","NA","NA",1504921

  14. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Montana" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",5,1,3,29,"NA",2,1," " "Number of retail customers",377770,983,20971,197627,"NA",419,"NA",597770 "Retail sales

  15. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Nevada" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",5,9,1,8,1,3,3," " "Number of retail customers",1204604,29842,2,37040,1,10,"NA",1271499 "Retail sales

  16. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Hampshire" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,5,"NA",1,"NA",20,4," " "Number of retail customers",496060,12226,"NA",78794,"NA",128985,"NA",716065 "Retail sales

  17. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Jersey" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",17,9,"NA",1,35,58,4," " "Number of retail customers",3270179,55120,"NA",11581,39,649669,"NA",3986588 "Retail sales

  18. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Mexico" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",6,8,1,20,6,"NA","NA"," " "Number of retail customers",723562,85741,5,208702,10,"NA","NA",1018020 "Retail sales

  19. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    York" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",19,48,"NA",4,5,69,9," " "Number of retail customers",5052054,1270394,"NA",18139,15,1751992,"NA",8092594 "Retail sales

  20. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Carolina" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,72,1,31,"NA","NA","NA"," " "Number of retail customers",3318839,598354,4,1052477,"NA","NA","NA",4969674

  1. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Dakota" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,12,1,21,"NA","NA","NA"," " "Number of retail customers",238608,11023,21,186997,"NA","NA","NA",436649 "Retail

  2. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Ohio" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",10,85,"NA",25,6,52,6," " "Number of retail customers",2143362,375117,"NA",383167,12,2618989,"NA",5520647 "Retail sales

  3. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Oklahoma" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,62,1,31,"NA","NA","NA"," " "Number of retail customers",1291253,204450,1,508162,"NA","NA","NA",2003866

  4. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Oregon" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",8,18,1,19,"NA",4,3," " "Number of retail customers",1421279,294747,1,203211,"NA",484,"NA",1919722 "Retail sales

  5. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Pennsylvania" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",15,35,"NA",13,5,73,10," " "Number of retail customers",3554206,83922,"NA",219570,5,2146096,"NA",6003799 "Retail sales

  6. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Rhode Island" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",2,1,"NA","NA","NA",17,1," " "Number of retail customers",462381,4658,"NA","NA","NA",32071,"NA",499110

  7. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Dakota" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",6,36,1,31,"NA","NA","NA"," " "Number of retail customers",243148,60553,22,154530,"NA","NA","NA",458253 "Retail

  8. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Tennessee" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,61,1,26,1,"NA","NA"," " "Number of retail customers",47264,2213496,23,969214,1,"NA","NA",3229998 "Retail sales

  9. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Texas" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",89,72,"NA",68,13,"NA","NA"," " "Number of retail customers",7744205,1849743,"NA",2076859,50,"NA","NA",11670857

  10. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Utah" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",1,40,1,9,1,"NA","NA"," " "Number of retail customers",835233,244217,7,48538,1,"NA","NA",1127996 "Retail sales

  11. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Vermont" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",2,14,"NA",2,1,"NA","NA"," " "Number of retail customers",258928,54912,"NA",49378,1,"NA","NA",363219 "Retail

  12. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Virginia" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",3,16,"NA",13,"NA",1,1," " "Number of retail customers",2934456,166751,"NA",629034,"NA",20,"NA",3730261 "Retail sales

  13. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Washington" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",4,41,2,18,1,3,1," " "Number of retail customers",1460672,1669068,10,167371,1,17,"NA",3297139 "Retail sales

  14. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Wisconsin" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",13,82,"NA",24,2,"NA","NA"," " "Number of retail customers",2439647,282258,"NA",260892,2,"NA","NA",2982799

  15. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    Wyoming" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",5,13,1,18,"NA","NA","NA"," " "Number of retail customers",198292,36318,5,99606,"NA","NA","NA",334221 "Retail

  16. Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total"

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

    United States" ,"Full service providers",,,,,"Other providers",, "Item","Investor Owned","Public","Federal","Cooperative","Non-utility","Energy","Delivery","Total" "Number of entities",256,1948,6,810,144,188,67," " "Number of retail customers",93329397,21335809,40029,19096482,656,13411030,"NA",147213403 "Retail sales

  17. Country/Continent Total

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

    peak kilowatts) Country/Continent Total Percent of U.S. total Africa 14,279 3.7 Asia/Australia 330,200 86.2 Europe 19,771 5.1 South/Central America 7,748 2.0 Canada 5,507 1.4 Mexico 5,747 1.5 Total 383,252 100.0 Table 8. Destination of photovoltaic module export shipments, 2013 Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.'

  18. Measurement of the 240Pu/239Pu mass ratio using a transition-edge-sensor microcalorimeter for total decay energy spectroscopy

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

    Hoover, Andrew S.; Bond, Evelyn M.; Croce, Mark P.; Holesinger, Terry G.; Kunde, Gerd J.; Rabin, Michael W.; Wolfsberg, Laura E.; Bennett, Douglas A.; Hays-Wehle, James P.; Schmidt, Dan R.; et al

    2015-02-27

    In this study, we have developed a new category of sensor for measurement of the 240Pu/239Pu mass ratio from aqueous solution samples with advantages over existing methods. Aqueous solution plutonium samples were evaporated and encapsulated inside of a gold foil absorber, and a superconducting transition-edge-sensor microcalorimeter detector was used to measure the total reaction energy (Q-value) of nuclear decays via heat generated when the energy is thermalized. Since all of the decay energy is contained in the absorber, we measure a single spectral peak for each isotope, resulting in a simple spectral analysis problem with minimal peak overlap. We foundmore » that mechanical kneading of the absorber dramatically improves spectral quality by reducing the size of radioactive inclusions within the absorber to scales below 50 nm such that decay products primarily interact with atoms of the host material. Due to the low noise performance of the microcalorimeter detector, energy resolution values of 1 keV fwhm (full width at half-maximum) at 5.5 MeV have been achieved, an order of magnitude improvement over α-spectroscopy with conventional silicon detectors. We measured the 240Pu/239Pu mass ratio of two samples and confirmed the results by comparison to mass spectrometry values. These results have implications for future measurements of trace samples of nuclear material.« less

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

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

    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

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

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

    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

  1. Total Energy Outcome City Pilot

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

    ... budget, all but 6,526, has gone toward development of an outcome based code program. ... Additional Funding: No other funding has been utilized Budget History 090112- FY2013 ...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  3. 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.

  4. Lincoln Electric System (Residential)- 2015 Sustainable Energy Program

    Broader source: Energy.gov [DOE]

    Lincoln Electric System (LES) offers several rebates to residential customers who are interested in upgrading to energy efficient household equipment.

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

    Buildings Energy Data Book [EERE]

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

  6. 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.

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

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

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

  8. 2014 Renewable Energy Markets (REM) Conference

    Broader source: Energy.gov [DOE]

    Renewable Energy Markets (REM) is the clean energy industry's most important annual event focused on the states, businesses, organizations, and households that choose clean, renewable electricity...

  9. IMAT SpA | Open Energy Information

    Open Energy Info (EERE)

    33074 Sector: Renewable Energy, Solar Product: Italy-based company specializing in manufacturing of components for household refrigeration. Their main renewable energy focus is...

  10. U.S. Energy Information Administration (EIA) - Ap

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

    Consumption & Efficiency view all Residential Energy Consumption Survey Household end use consumption of energy and expenditures Commercial Buildings Energy Consumption Survey ...

  11. ARM - Measurement - Shortwave broadband total downwelling irradiance

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

    Measurement : Shortwave broadband total downwelling irradiance The total diffuse and direct radiant energy that comes from some continuous range of directions, at wavelengths ...

  12. 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.

  13. Nepal-GTZ Energy Efficiency Program | Open Energy Information

    Open Energy Info (EERE)

    1 GTZ is working with Nepal on integration of EE as part of the national energy strategy, development of EE measures for households. References "GTZ projects" Retrieved...

  14. Pakistan-GTZ Renewable Energy and Energy Efficiency Promotion...

    Open Energy Info (EERE)

    is working with Pakistan on improvement of energy service supply to households and enterprises through RE use and EE. References "GTZ projects" Retrieved from "http:...

  15. Energy Trust of Oregon Inc | Open Energy Information

    Open Energy Info (EERE)

    Product: Gives grants for the implementation of efficiency improvements and renewable energy sources at a household and utility-scale level. Coordinates: 45.511795,...

  16. Tips: Appliances | Department of Energy

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

    Appliances account for about 13% of your household's energy costs, with refrigeration, cooking, and laundry at the top of the list. Learn about: Shopping for Appliances Purchase ...

  17. Search results | Department of Energy

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

    an abstract concept that is very familiar to students from personal experiences with household appliances, transportation, and their own bodies. However, the nature of energy,...

  18. Search results | Department of Energy

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

    Students learn how electrical usage is counted and priced. They measure and evaluate energy use and cost of representative household and school electrical items. http:...

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

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

    ... (end uses) to the total number of households. b Includes small appliances such as microwaves, televisions, cable boxes, video cassette recorders, stereo systems, and computers. ...

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

    Broader source: Energy.gov [DOE]

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

  1. Table 11.5a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and 11.5c; Metric Tons of Gas)

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

    a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and 11.5c; Metric Tons of Gas) Year Carbon Dioxide 1 Sulfur Dioxide Nitrogen Oxides Coal 2 Natural Gas 3 Petroleum 4 Geo- thermal 5 Non- Biomass Waste 6 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total 1989 1,573,566,415 218,383,703 145,398,976 363,247 5,590,014 1,943,302,355 14,468,564 1,059 984,406

  2. Powertrain Trends and Future Potential | Department of Energy

    Office of Environmental Management (EM)

    ISO New England Comments on the National Electric Transmission Congestion Study Department of Energy Workshop Philadelphia, PA December 6, 2011 Michael I. Henderson Director Regional Planning and Coordination, System Planning DOE Workshop - December 6, 2011 © 2011 ISO New England Inc. Key Facts About New England's Electric Power System and Wholesale Electricity Markets 2 6.5 million households and businesses; population 14 million Over 300 generators totaling 32,000 MW of capacity Over 8,000

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

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

    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

  4. Buildings Energy Data Book: 2.3 Residential Sector Expenditures

    Buildings Energy Data Book [EERE]

    0 2005 Energy End-Use Expenditures for an Average Household, by Region ($2010) Northeast Midwest South West National Space Heating 1,050 721 371 352 575 Air-Conditioning 199 175 456 262 311 Water Heating 373 294 313 318 320 Refrigerators 194 145 146 154 157 Other Appliances and Lighting 827 665 715 716 725 Total (1) 2,554 1,975 1,970 1,655 2,003 Note(s): 1) Due to rounding, end-uses do not sum to totals. Source(s): EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table US-15; EIA,

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

    SciTech Connect (OSTI)

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

    1982-09-01

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

  6. Barge Truck Total

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

    Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over...

  7. Table 8.4a Consumption for Electricity Generation by Energy Source: Total (All Sectors), 1949-2011 (Sum of Tables 8.4b and 8.4c; Billion Btu)

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

    a Consumption for Electricity Generation by Energy Source: Total (All Sectors), 1949-2011 (Sum of Tables 8.4b and 8.4c; Billion Btu) Year Fossil Fuels Nuclear Electric Power 5 Renewable Energy Other 9 Electricity Net Imports 10 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power 5 Biomass Geo- thermal 5 Solar/PV 5,8 Wind 5 Total Wood 6 Waste 7 1949 1,995,055 414,632 569,375 NA 2,979,062 0 1,424,722 5,803 NA NA NA NA 1,430,525 NA 5,420 4,415,007 1950

  8. 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.

  9. 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.

  10. U.S. Energy Information Administration (EIA) - Data

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

    Find statistics on energy consumption and efficiency across all fuel sources. + EXPAND ALL Residential Energy Consumption Survey data Household characteristics Release Date: March ...

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

    Open Energy Info (EERE)

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

  12. Secretary Chu Announces Initiatives to Promote Clean Energy at...

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

    Initiatives to Promote Clean Energy at First Clean Energy Ministerial Secretary Chu ... products that together account for about 15 percent of household electricity use. ...

  13. U.S. Energy Information Administration (EIA) - Ap

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

    Consumption & Efficiency view all Residential Energy Consumption Survey Household end ... U. S. States & Countries State Energy Profiles State level data, analysis, and maps ...

  14. All Reports & Publications - U.S. Energy Information Administration...

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

    Consumption & Efficiency view all Residential Energy Consumption Survey Household end ... U. S. States & Countries State Energy Profiles State level data, analysis, and maps ...

  15. Residential Sector Demand Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update (EIA)

    Stoves Geothermal Heat Pump Natural Gas Heat Pump Variables: HSYSSHR 2001,eg,b,r Benchmarking Data from Short-Term Energy Outlook Definition: Household energy consumption by...

  16. U.S. Energy Department, Pay-Television Industry and Energy Efficiency

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

    Groups Announce Set-Top Box Energy Conservation Agreement; Will Cut Energy Use for 90 Million U.S. Households, Save Consumers Billions | Department of Energy Department, Pay-Television Industry and Energy Efficiency Groups Announce Set-Top Box Energy Conservation Agreement; Will Cut Energy Use for 90 Million U.S. Households, Save Consumers Billions U.S. Energy Department, Pay-Television Industry and Energy Efficiency Groups Announce Set-Top Box Energy Conservation Agreement; Will Cut Energy

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

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

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

  18. 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

  19. 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.

  20. Lincoln Electric System (Residential)- Sustainable Energy Program

    Broader source: Energy.gov [DOE]

    Lincoln Electric System (LES) offers several rebates to their residential customers who are interested in upgrading to energy efficient household equipment. 

  1. NREL: Energy Systems Integration - Systems Integration

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

    High-level system integration New distribution scenarios such as household DC systems and residential-scale generation and storage integrated with home energy management systems. ...

  2. Tax Credits, Rebates & Savings | Department of Energy

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

    rental apartment owners. The program is designed to offer rebates on some of the most energy intensive household... Eligibility: Multifamily Residential Savings Category:...

  3. Tax Credits, Rebates & Savings | Department of Energy

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

    The New Jersey Comfort Partners program is a free of charge, direct installation energy efficiency assistance program available to most New Jersey households with significant...

  4. Minority energy assessment report

    SciTech Connect (OSTI)

    Teotia, A.P.S.; Poyer, D.A.; Lampley, L.; Anderson, J.L.

    1992-12-01

    The purpose of this research is to project household energy consumption, energy expenditure, and energy expenditure as share of income for five population groups from 1991 to 2009. The approach uses the Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory for the US Department of Energy's Office of Minority Economic Impact. The MEAM provides a framework that can be used to forecast regional energy consumption and energy expenditure for majority, black, Hispanic, poor, and nonpoor households. The forecasts of key macroeconomic and energy variables used as exogenous variables in the MEAM were obtained from the Data Resources, Inc., Macromodel and Energy Model. Generally, the projections of household energy consumption, expenditure, and energy expenditure as share of income vary across population groups and census regions.

  5. 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)...

  6. 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...

  7. 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...

  8. 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...

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

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred

    2008-06-01

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

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

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

    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

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

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

    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

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

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

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

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

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

    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

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

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

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

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

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

    including shared solar View and download photographs, videos, graphics, and other multimedia related to solar technologies Subscribe to Office of Energy Efficiency and Renewable ...

  17. ARM - Measurement - Shortwave narrowband total downwelling irradiance

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

    Send Measurement : Shortwave narrowband total downwelling irradiance The rate at which radiant energy, in narrow bands of wavelengths shorter than approximately 4 mum, passes ...

  18. ARM - Measurement - Shortwave narrowband total upwelling irradiance

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

    Send Measurement : Shortwave narrowband total upwelling irradiance The rate at which radiant energy, in narrow bands of wavelengths shorter than approximately 4 mum, passes ...

  19. ARM - Measurement - Shortwave spectral total downwelling irradiance

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

    Send Measurement : Shortwave spectral total downwelling irradiance The rate at which radiant energy, at specrally-resolved wavelengths between 0.4 and 4 mum, is being emitted ...

  20. Neutron Total Cross Sections of {sup 235}U From Transmission Measurements in the Energy Range 2 keV to 300 keV and Statistical Model Analysis of the Data

    SciTech Connect (OSTI)

    Derrien, H.; Harvey, J.A.; Larson, N.M.; Leal, L.C.; Wright, R.Q.

    2000-05-01

    The average {sup 235}U neutron total cross sections were obtained in the energy range 2 keV to 330 keV from high-resolution transmission measurements of a 0.033 atom/b sample.1 The experimental data were corrected for the contribution of isotope impurities and for resonance self-shielding effects in the sample. The results are in very good agreement with the experimental data of Poenitz et al.4 in the energy range 40 keV to 330 keV and are the only available accurate experimental data in the energy range 2 keV to 40 keV. ENDF/B-VI evaluated data are 1.7% larger. The SAMMY/FITACS code 2 was used for a statistical model analysis of the total cross section, selected fission cross sections and data in the energy range 2 keV to 200 keV. SAMMY/FITACS is an extended version of SAMMY which allows consistent analysis of the experimental data in the resolved and unresolved resonance region. The Reich-Moore resonance parameters were obtained 3 from a SAMMY Bayesian fits of high resolution experimental neutron transmission and partial cross section data below 2.25 keV, and the corresponding average parameters and covariance data were used in the present work as input for the statistical model analysis of the high energy range of the experimental data. The result of the analysis shows that the average resonance parameters obtained from the analysis of the unresolved resonance region are consistent with those obtained in the resolved energy region. Another important result is that ENDF/B-VI capture cross section could be too small by more than 10% in the energy range 10 keV to 200 keV.

  1. 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.

  2. 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.

  3. 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

  4. 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

  5. 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...

  6. Assumption to the Annual Energy Outlook 2014 - Residential Demand...

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

    oil, liquefied petroleum gas, natural gas, kerosene, electricity, wood, geothermal, and solar energy. The module's output includes number of households, equipment stock, average...

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

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

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

  8. 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 ...

  9. Energy Savings Week: How Lighting Standards Are Saving You Money...

    Energy Savers [EERE]

    Standards Are Saving You Money Lighting accounts for about 11% of home electricity use (or 7% energy use). Lighting efficiency standards are expected to save households almost ...

  10. Equity implications of utility energy conservation programs

    SciTech Connect (OSTI)

    Sutherland, R.J.

    1994-03-15

    This paper uses the Residential Energy Consumption Survey undertaken by the Energy Information Administration in 1990 to estimate the statistical association between household income and participation in electric utility energy conservation programs and the association between participation and the electricity consumption. The results indicate that utility rebates, energy audits, load management programs and other conservation measures tend to be undertaken at greater frequency by high income households than by low income households. Participants in conservation programs tend to occupy relatively new and energy efficient residences and undertake conservation measures other than utility programs, which suggests that utility sponsored programs are substitutes for other conservation investments. Electricity consumption during 1990 is not significantly less for households participating in utility programs than for nonparticipants, which also implies that utility conservation programs are displacing other conservation investments. Apparently, utility programs are not avoiding costs of new construction and instead are transferring wealth, particularly to high income participating households.

  11. Monthly energy review, September 1995

    SciTech Connect (OSTI)

    1995-09-25

    An ``energy snapshot`` article is included on housing characteristics in 1993 (survey of 7,111 households). The rest of the document is divided into: energy overview, energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, international energy, and appendices (conversion factors, CO2 emission factors from coal, index, glossary).

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

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

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

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

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

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

  14. 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.

  15. PVT -- A photovoltaic/thermal concentrator total energy system: Final phase 1 project report. Building opportunities in the U.S. for photovoltaics (PV:BONUS) Two

    SciTech Connect (OSTI)

    1998-12-31

    United Solar completed its Phase 1 report and its proposal for Phase 2 of the PVBONUS Two program at the end of March 1998. At the same time, it also completed and submitted a proposal to the California Energy Commission PIER program for additional funding to cost-share development and testing of a pre-production model of the PVT-14. It was unsuccessful in both of these proposed efforts. While waiting for the proposal decisions, work continued in April and May to analyze the system design and component decisions described below. This document is a final summation report on the Phase 1 effort of the PVBONUS Two program that describes the key technical issues that United Solar and its subcontractor, Industrial Solar Technology Corporation, worked on in preparation of a Phase 2 award. The decisions described were ones that will guide the design and fabrication of a pre-production prototype of a 1500:1 mirrored concentrator with gallium arsenide cells when United solar resumes its development work. The material below is organized by citing the key components that underwent a design review, what the company considered, what was decided, the name of the expected supplier, if not to be produced in-house, and some information about expected costs. The cost figures given are usually budgetary estimates, not the result of firm quotations or extensive analysis.

  16. ,"Total District Heat Consumption (trillion Btu)",,,,,"District...

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

    Heat Consumption (trillion Btu)",,,,,"District Heat Energy Intensity (thousand Btusquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  17. ,"Total Natural Gas Consumption (trillion Btu)",,,,,"Natural...

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

    Gas Consumption (trillion Btu)",,,,,"Natural Gas Energy Intensity (thousand Btusquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  18. ,"Total Fuel Oil Expenditures

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

    . Fuel Oil Expenditures by Census Region for Non-Mall Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per...

  19. ,"Total Fuel Oil Expenditures

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

    4. Fuel Oil Expenditures by Census Region, 1999" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per Square Foot"...

  20. ,"Total Fuel Oil Expenditures

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

    A. Fuel Oil Expenditures by Census Region for All Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per...

  1. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

  2. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

  3. CONNECTICUT RECOVERY ACT SNAPSHOT | Department of Energy

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

    CONNECTICUT CHALLENGES TOWNS TO REDUCE ENERGY USE With both the household use and cost of electricity increasing and an abundance of older homes, Connecticut's market was ripe for residential energy efficiency upgrades. Through a two-year pilot program, the Connecticut Neighbor to Neighbor Energy Challenge (N2N) sought to improve the state's existing residential energy efficiency programs, with the goal of reaching 10% of the households in the targeted towns and reducing their energy use by 20%.

  4. EERE Success Story-Kingston Creek Hydro Project Powers 100 Households...

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

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  8. Heating oil and propane households bills to be lower this winter...

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

    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 ...

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

    Broader source: Energy.gov [DOE]

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

  10. WEEE and portable batteries in residual household waste: Quantification and characterisation of misplaced waste

    SciTech Connect (OSTI)

    Bigum, Marianne; Petersen, Claus; Scheutz, Charlotte

    2013-11-15

    Highlights: • We analyse 26.1 Mg of residual waste from 3129 Danish households. • We quantify and characterise misplaced WEEE and portable batteries. • We compare misplaced WEEE and batteries to collection through dedicated schemes. • Characterisation showed that primarily small WEEE and light sources are misplaced. • Significant amounts of misplaced batteries were discarded as built-in WEEE. - Abstract: A total of 26.1 Mg of residual waste from 3129 households in 12 Danish municipalities was analysed and revealed that 89.6 kg of Waste Electrical and Electronic Equipment (WEEE), 11 kg of batteries, 2.2 kg of toners and 16 kg of cables had been wrongfully discarded. This corresponds to a Danish household discarding 29 g of WEEE (7 items per year), 4 g of batteries (9 batteries per year), 1 g of toners and 7 g of unidentifiable cables on average per week, constituting 0.34% (w/w), 0.04% (w/w), 0.01% (w/w) and 0.09% (w/w), respectively, of residual waste. The study also found that misplaced WEEE and batteries in the residual waste constituted 16% and 39%, respectively, of what is being collected properly through the dedicated special waste collection schemes. This shows that a large amount of batteries are being discarded with the residual waste, whereas WEEE seems to be collected relatively successfully through the dedicated special waste collection schemes. Characterisation of the misplaced batteries showed that 20% (w/w) of the discarded batteries were discarded as part of WEEE (built-in). Primarily alkaline batteries, carbon zinc batteries and alkaline button cell batteries were found to be discarded with the residual household waste. Characterisation of WEEE showed that primarily small WEEE (WEEE directive categories 2, 5a, 6, 7 and 9) and light sources (WEEE directive category 5b) were misplaced. Electric tooth brushes, watches, clocks, headphones, flashlights, bicycle lights, and cables were items most frequently found. It is recommended that these findings are taken into account when designing new or improving existing special waste collection schemes. Improving the collection of WEEE is also recommended as one way to also improve the collection of batteries due to the large fraction of batteries found as built-in. The findings in this study were comparable to other western European studies, suggesting that the recommendations made in this study could apply to other western European countries as well.

  11. Small Town Energy Program (STEP) Final Report revised

    SciTech Connect (OSTI)

    Wilson, Charles T.

    2014-01-02

    University Park, Maryland (“UP”) is a small town of 2,540 residents, 919 homes, 2 churches, 1 school, 1 town hall, and 1 breakthrough community energy efficiency initiative: the Small Town Energy Program (“STEP”). STEP was developed with a mission to “create a model community energy transformation program that serves as a roadmap for other small towns across the U.S.” STEP first launched in January 2011 in UP and expanded in July 2012 to the neighboring communities of Hyattsville, Riverdale Park, and College Heights Estates, MD. STEP, which concluded in July 2013, was generously supported by a grant from the U.S. Department of Energy (DOE). The STEP model was designed for replication in other resource-constrained small towns similar to University Park - a sector largely neglected to date in federal and state energy efficiency programs. STEP provided a full suite of activities for replication, including: energy audits and retrofits for residential buildings, financial incentives, a community-based social marketing backbone and local community delivery partners. STEP also included the highly innovative use of an “Energy Coach” who worked one-on-one with clients throughout the program. Please see www.smalltownenergy.org for more information. In less than three years, STEP achieved the following results in University Park: • 30% of community households participated voluntarily in STEP; • 25% of homes received a Home Performance with ENERGY STAR assessment; • 16% of households made energy efficiency improvements to their home; • 64% of households proceeded with an upgrade after their assessment; • 9 Full Time Equivalent jobs were created or retained, and 39 contractors worked on STEP over the course of the project. Estimated Energy Savings - Program Totals kWh Electricity 204,407 Therms Natural Gas 24,800 Gallons of Oil 2,581 Total Estimated MMBTU Saved (Source Energy) 5,474 Total Estimated Annual Energy Cost Savings $61,343 STEP clients who had a home energy upgrade invested on average $4,500, resulting in a 13% reduction in annual energy use and utility bill savings of $325. Rebates and incentives covered 40%-50% of retrofit cost, resulting in an average simple payback of about 7 years. STEP has created a handbook in which are assembled all the key elements that went into the design and delivery of STEP. The target audiences for the handbook include interested citizens, elected officials and municipal staff who want to establish and run their own efficiency program within a small community or neighborhood, using elements, materials and lessons from STEP.

  12. Summary Max Total Units

    Energy Savers [EERE]

    Summary Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water

  13. Buildings Energy Data Book: 2.3 Residential Sector Expenditures

    Buildings Energy Data Book [EERE]

    1 2005 Energy Expenditures per Household, by Housing Type and Square Footage ($2010) Per Household Single-Family 1.16 Detached 1.16 Attached 1.20 Multi-Family 1.66 2 to 4 units 1.90 5 or more units 1.53 Mobile Home 1.76 All Homes 1.12 Note(s): Source(s): 1) Energy expenditures per square foot were calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was

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

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

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

  15. Building Technologies Office | Department of Energy

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

    Today, a new efficiency standard ensures that all businesses will have access to energy-saving RTUs. Read more How we help households and businesses save energy We lead a vast ...

  16. Energy Production Over the Years | Department of Energy

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

    Pick an energy source Total Energy Produced Coal Crude Oil Natural Gas Total Renewable Energy Non-Biofuel Renewable Energy Biofuels Nuclear Power Source: EIA State Energy Data ...

  17. ARM - Measurement - Total carbon

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

    carbon ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total carbon The total concentration of carbon in all its organic and non-organic forms. Categories Aerosols, Atmospheric Carbon Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including

  18. Buildings Energy Data Book: 5.3 Heating, Cooling, and Ventilation Equipment

    Buildings Energy Data Book [EERE]

    0 Main Residential Heating Fuel, by Vintage, as of 2005 (Percent of Total Households) 1949 or 1950 to 1960 to 1970 to 1980 to 1990 to 2000 to Heating Fuel Before 1959 1969 1979 1989 1999 2005 Natural Gas 56% 57% 55% 46% 45% 45% 45% Electricity 8% 18% 26% 36% 42% 42% 43% Fuel Oil 14% 10% 7% 5% 2% 2% 2% LPG 5% 3% 2% 5% 6% 8% 8% Other (1) 17% 12% 10% 8% 4% 3% 2% Total 100% 100% 100% 100% 100% 100% 100% Note(s): Source(s): 1) Other includes wood and kerosene. EIA, Residential Energy Consumption

  19. Total Space Heat-

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

    12 1 18 (*) 2 1 Q 6 Buildings without Cooling ... 30 1 (*) 4 (*) 14 (*) 4 (*) 1 6 Water-Heating Energy Source Electricity ... 402 21 57 42...

  20. Property:TotalValue | Open Energy Information

    Open Energy Info (EERE)

    22,888,360 + American Transmission Company LLC Smart Grid Project + 2,661,650 + Atlantic City Electric Company Smart Grid Project + 37,400,000 + Avista Utilities Smart Grid...