National Library of Energy BETA

Sample records for household energy consump

  1. Progress In Electromagnetics Research B, Vol. 12, 259295, 2009 AN ESTIMATION OF SENSOR ENERGY CONSUMP-

    E-Print Network [OSTI]

    Halgamuge, Malka N.

    University of Technology PO Box 218, Hawthorn, VIC 3122, Australia Abstract--A comprehensive energy model attempts to model sensor node energy consumption. We list below several such models and point out certainProgress In Electromagnetics Research B, Vol. 12, 259­295, 2009 AN ESTIMATION OF SENSOR ENERGY

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

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

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

  3. 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.

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

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

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

  5. 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.

  6. Energy Spending and Vulnerable Households

    E-Print Network [OSTI]

    Jamasb, Tooraj; Meier, Helena

    2011-01-26

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

  7. 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)

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

    E-Print Network [OSTI]

    Wolberg, George

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

  9. Household energy use in non-OPEC developing countries

    SciTech Connect (OSTI)

    Fernandez, J.C.

    1980-05-01

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

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

    E-Print Network [OSTI]

    Leitmann, Josef

    1989-01-01

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

  11. Property:PlantParasiticConsump | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo,AltFuelVehicle2FlatDemandMonth3 Jump to: navigation, searchPhone Jump to:

  12. Property:WellFieldParasiticConsump | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource HistoryPotentialRuralUtilityScalePVGeneration Jump to:SpatialResolution

  13. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

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

  14. Rebound Effect in Energy Efficient Appliance Adopting Households 

    E-Print Network [OSTI]

    Glenn, Jacob Matthew

    2014-12-10

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

  15. Survey of Household Energy Use (SHEU)

    E-Print Network [OSTI]

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

  16. Next Generation Household Refrigerator | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartmentNew Jersey isDepartment ofInstitute * www.of

  17. 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.

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Edinburgh, University of

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

  20. 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.

  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. Distributed Energy Systems in California's Future: A Preliminary Report Volume 2

    E-Print Network [OSTI]

    Balderston, F.

    2010-01-01

    Implication of the Energy Crisis, Energy Institute,Information, the Energy Crisis, and Electrical Consump- tionPublic Response to the Energy Crisis. (4134) 257-263. April

  3. 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...

  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. Strategies for Collecting Household Energy Data | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher iSlide 1 Moresteelmaking industry has significantlytextDepartment of

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

    E-Print Network [OSTI]

    Han, Qi "Chee"

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

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

    E-Print Network [OSTI]

    Kockelman, Kara M.

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

  8. 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.

  9. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2014-01-01

    CO: National Renewable Energy Laboratory. Zimring, M. ,Billingsley, M. 2011. Delivering Energy Efficiency to Middleof the Census. [EIA] U.S. Energy Information Administration.

  10. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    Kerry O’Neill (Clean Energy Finance Center), Ken Robinette (else). Todd Conkey, Energy Finance Director at the Wisconsinhousehold willingness to finance energy improvements. In

  11. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    rentalhousing/Energy_Efficiency_Project/COB_rebates_8.2.11.PDS/rentalhousing/Energy_Efficiency_Project/SmartRegs_Final_s residential energy efficiency loan program November 2010-

  12. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    Program ……..…………………………. ………. XX Clean Energy Worksfor Future Research. Clean Energy Program Policy Brief. LINKGHHI), Kerry O’Neill (Clean Energy Finance Center), Ken

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

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

    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. America's Home...

  14. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    unlocking this energy efficiency resource. A range of policyfor acquiring the energy efficiency resource (i.e. ,programwith viewing energy efficiency as a resource, screening

  15. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    rentalhousing/Energy_Efficiency_Project/COB_rebates_8.2.11.PDS/rentalhousing/Energy_Efficiency_Project/SmartRegs_Final_policymakers and energy efficiency program administrators to

  16. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    Standard WES – Wyoming Energy Savers S&P – Standard & Poorsloan. The Wyoming Energy Savers (WES) loan program offers

  17. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    Vermont Energy Investment Corporation NYSERDA – New Yorkfor a case study on New York’s energy efficiency programNew York, the New York State Energy Research and Development

  18. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    about the program Table 3. Keystone HELP loan application,Environmental Defense Fund EE – Energy Efficiency KeystoneHELP – Keystone Home Energy Loan Program EER – (Australian)

  19. 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.

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

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

    How can I participate? Visit HomeEnergyChallenge.org to register for the competition. Third through eighth grade students and teachers will be excited to hear about a...

  1. Appliance Standby Power and Energy Consumption in South African Households

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYork Jump| Open EnergyNewAppalachianAppanoose Elementary|

  2. Special Topics on Energy Use in Household Transportation

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

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

  3. 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.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuelsof EnergyApril 2014 | International NuclearKaren AtkinsonAbout the

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

    SciTech Connect (OSTI)

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

    2014-01-01

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

  6. 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.

  7. We are working on techniques to make this protocol more scalable. This includes a quantitative analysis and mea surement of the resource utilization in the wired network and base stations, and techniques to reduce this consump

    E-Print Network [OSTI]

    , and techniques to reduce this consump­ tion. As part of the Daedalus project, we are also investigating ways Environments. IEEE JSAC, 13(5), June 1995. [Dae95] The Daedalus Project Home Page. http://daedalus

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

    E-Print Network [OSTI]

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

    2013-01-01

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

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

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

    Key words Rapid energy savings, energy crisis, behaviour 2.of energy emergencies. Saving energy in a hurry Measures andalso commonly called ‘saving energy in a hurry’, is an

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

    SciTech Connect (OSTI)

    Yust, B.L.

    1986-01-01

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

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

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

    3), pp.325-343. A. Julien, UCL Energy Institute, London, UKConference 2011, Washington Rapid energy savings in London'shouseholds to mitigate an energy crisis Wood, G. &

  12. 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.

  13. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

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

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

    Bielecki, J. , 2002. Energy security: is the wolf at the250. Bird, J. , 2009. Energy Security in the UK, IPPR.oror\\Documents\\PhD\\Litterature\\Energy Security in the UK\\

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

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

    low energy light bulbs in the whole home Unplug my phoneall low energy light bulbs in t he whole home S ch off all

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

    E-Print Network [OSTI]

    Zimring, Mark

    2011-01-01

    A single lender, Energy Finance Solutions (EFS), ison additional debt to finance energy upgrades? In the past,standards? Several energy efficiency finance programs have

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

    E-Print Network [OSTI]

    Columbia University

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

  18. Do Households Smooth Small Consumption Shocks? Evidence from Anticipated and Unanticipated Variation in Home Energy Costs

    E-Print Network [OSTI]

    Cullen, Julie Berry; Friedberg, Leora; Wolfram, Catherine

    2005-01-01

    of Cold Weather and High Energy Costs on the Health of Low-and NBER April 2005 Home energy costs comprise a significant1. Introduction Home energy costs comprise a significant

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

    E-Print Network [OSTI]

    Zimring, Mark

    2011-01-01

    Financing Home Energy Upgrades in New York Since 2001, New2009. Administered by the New York State Energy Research andA Diverse Energy Upgrade Platform in New York The new GJGNY

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

    E-Print Network [OSTI]

    Greenblatt, Jeffery

    2013-01-01

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

  1. Do Households Smooth Small Consumption Shocks? Evidence from Anticipated and Unanticipated Variation in Home Energy Costs

    E-Print Network [OSTI]

    Cullen, Julie Berry; Friedberg, Leora; Wolfram, Catherine

    2005-01-01

    California, Berkeley and NBER April 2005 Home energy costsCalifornia, Berkeley, CA 94720-1900. 1. Introduction Home energy costs

  2. Does energy follow form? The case of household travel in Jinan, China

    E-Print Network [OSTI]

    Jiang, Yang

    Rapidly increasing transportation energy use in China poses challenges to national energy security and the mitigation of greenhouse gas emissions. Meanwhile, the development of automobile oriented neighborhood structures, ...

  3. Household operational energy consumption in urban China : a multilevel analysis on Jinan

    E-Print Network [OSTI]

    Wang, Dong, M.C.P. Massachusetts Institute of Technology

    2012-01-01

    With decades of economic growth and socio-economic transformation, China's residential sector has seen rapid expansion in energy consumption, and is now the second largest energy consuming sector in the country. Faced with ...

  4. Accurate Component Model Based Optimal Control for Energy Storage Systems in Households with Photovoltaic Modules

    E-Print Network [OSTI]

    Pedram, Massoud

    of the realistic electricity price function and the energy storage capacity limitation, the residential storage--Integrating residential photovoltaic (PV) power generation and energy storage systems into the Smart Grid is an effective a particularly interesting problem with the introduction of dynamic electricity energy pricing models since

  5. appl_household2001.pdf

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

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

  6. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  7. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  8. The Effects of External Temperature on the Energy Consumption of Household Refrigerator-Freezers and Freezers 

    E-Print Network [OSTI]

    Burgess, Tiffany

    2015-06-30

    to improve efficiency and reduce consumption, it is important to understand how a unit behaves outside the design conditions. The forecasted annual energy consumption as published on the EnergyGuide sticker is determined by testing the unit at a specified...

  9. Monitoring Energy Consumption In Wireless Sensor Networks

    E-Print Network [OSTI]

    Turau, Volker

    Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer to monitor the consump- tion of energy in wireless sensor networks based on video streams com- posed from energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

  10. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electric vehicle (PEV)Day-June 22,FresnoSky Energy of Ohio UniversityMoney

  12. Reforming Household Energy Markets: Some Welfare Effects in the United Catherine Waddams Price

    E-Print Network [OSTI]

    Feigon, Brooke

    and elsewhere are discussed, as prices rise to reflect shortages in wholesale markets and carbon reduction for the various projects has been provided by the Economic and Social Research Council under awards RO22250147. Introduction Privatisation and reregulation have transformed the various parts of the British1 energy supply

  13. Household magnets

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

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

  14. Household Vehicles Energy Use: Latest Data and Trends - Table A01

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

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

  15. Household Vehicles Energy Use: Latest Data and Trends - Table A01

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

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

  16. Household Vehicles Energy Use: Latest Data and Trends - Table A04

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

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

  17. Table 5.18. U.S. Average Household and Vehicle Energy Expenditures,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672 7,2060 0 1 02. U.S.8. U.S.

  18. 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.

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

    E-Print Network [OSTI]

    Beigl, Michael

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

  20. EIA - Household Transportation report: Household Vehicles Energy

    Gasoline and Diesel Fuel Update (EIA)

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

  1. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  2. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  3. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  4. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  5. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  6. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Energy Savers [EERE]

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

  8. White Paper on Energy Efficiency Status of Energy-Using Products in China (2012)

    E-Print Network [OSTI]

    Zhou, Nan

    2013-01-01

    Efficiency and Energy Efficiency Grades for Household SolarEfficiency and Energy Efficiency Grades for Household SolarEfficiency and Energy Efficiency Grades for Household Solar

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

    E-Print Network [OSTI]

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

  10. An Energy-Flow Model for Self-Powered Routers and its Application for Energy-Aware Routing

    E-Print Network [OSTI]

    Belding-Royer, Elizabeth M.

    of electrical energy. Depen- dence on renewable energy sources and variable power consump- tion make harvesting equipment hardware specifi- cations; high resolution, time-varying weather information settings, rural wireless deploy- ments often have to face the lack of reliable grid power infrastruc- ture

  11. Specializing Cache Structures for High Performance and Energy Conservation in Embedded Systems

    E-Print Network [OSTI]

    McKee, Sally A.

    Specializing Cache Structures for High Performance and Energy Conservation in Embedded Systems University Tallahassee, FL 32306-4530 tyson@cs.fsu.edu Abstract. Increasingly tight energy design goals of smaller region caches that significantly reduces energy consump- tion with little performance impact

  12. How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios

    E-Print Network [OSTI]

    Aden, Nathaniel T.

    2010-01-01

    The household energy transition in India and China. ? EnergyThe household energy transition in India and China. ? Energy

  13. System and Circuit Level Power Modeling of Energy-Efficient 3D-Stacked Wide I/O DRAMs

    E-Print Network [OSTI]

    power and energy consump- tion. With the industry pushing for both high-performance and green computingSystem and Circuit Level Power Modeling of Energy-Efficient 3D-Stacked Wide I/O DRAMs Karthik- tecture, design, features and timing behavior. With improved performance/power trade-offs over previous

  14. usage_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  15. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Policy Uncertainty and Household Savings

    E-Print Network [OSTI]

    Giavazzi, Francesco

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

  17. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  18. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  19. SmartCharge: Cutting the Electricity Bill in Smart Homes with Energy Storage

    E-Print Network [OSTI]

    Kurose, Jim

    SmartCharge: Cutting the Electricity Bill in Smart Homes with Energy Storage Aditya Mishra, David,irwin,shenoy,kurose}@cs.umass.edu Ting Zhu Binghamton University tzhu@binghamton.edu ABSTRACT Market-based electricity pricing provides consumers an op- portunity to lower their electric bill by shifting consump- tion to low price periods

  20. Deep cuts in household greenhouse gas emissions Andrew Blakers

    E-Print Network [OSTI]

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

  1. Try This: Household Magnets

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

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

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

    E-Print Network [OSTI]

    2008-01-01

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

  3. 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.

  4. Sectoral trends in global energy use and greenhouse gas emissions

    E-Print Network [OSTI]

    2006-01-01

    Energy Demand China China Japan Cooking, MJ per household Urban Rural Water heating, MJ per household Urban Rural Space

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

    E-Print Network [OSTI]

    de Lijser, Peter

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

  6. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre,1 Transportation logo

  7. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre,1 Transportation

  8. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre,1 Transportation1.

  9. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic Feet)6 The71999

  10. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic Feet)6 The71999C

  11. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic Feet)6

  12. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic

  13. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. Vehicle Miles

  14. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. Vehicle Miles

  15. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. Vehicle Miles

  16. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. Vehicle

  17. Household Vehicles Energy Consumption 1991

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. VehicleDetailed

  18. Household Vehicles Energy Consumption 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. VehicleDetailedW as

  19. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  20. appl_household2001.pdf

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

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

  1. housingunit_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  2. appl_household2001.pdf

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

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

  3. appl_household2001.pdf

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

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

  4. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  5. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  6. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  7. appl_household2001.pdf

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

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

  8. char_household2001.pdf

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

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

  9. appl_household2001.pdf

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

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

  10. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  11. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  12. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  13. appl_household2001.pdf

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

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

  14. 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...

  15. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  16. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  17. spaceheat_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  18. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  19. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  20. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  1. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  2. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  3. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  4. White Paper on Energy Efficiency Status of Energy-Using Products in China (2012)

    E-Print Network [OSTI]

    Zhou, Nan

    2013-01-01

    mandatory energy efficiency standard for solar water heatersEnergy Efficiency Grades for Household Solar Water HeatingEnergy Efficiency Grades for Household Solar Water Heating

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

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01

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

  6. char_household2001.pdf

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

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

  7. Solar Adoption and Energy Consumption in the Residential Sector

    E-Print Network [OSTI]

    McAllister, Joseph Andrew

    2012-01-01

    of household energy technologies by installing solar systemssolar systems do not produce more gross energy than the householda solar system, households also become generators of energy

  8. Essays on microeconomics of the household

    E-Print Network [OSTI]

    Wahhaj, Zaki

    2006-01-01

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  10. 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...

  11. Energy Efficiency Indicators Methodology Booklet

    E-Print Network [OSTI]

    Sathaye, Jayant

    2010-01-01

    urban household refrigerators. The analysis then further decomposes the energy consumption by efficiency

  12. Energy Systems and Population Health

    E-Print Network [OSTI]

    2004-01-01

    energy sources, improved efficiency cookstoves, photovoltaic solar home systems, wind-turbines for household

  13. Energy Consumption, Efficiency, Conservation, and Greenhouse Gas Mitigation in Japan's Building Sector

    E-Print Network [OSTI]

    2006-01-01

    comparison o f energy consumption i n housing (1998) (Trends i n household energy consumption (Jyukankyo Research4) Average (N=2976) Energy consumption [GJ / household-year

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

    E-Print Network [OSTI]

    Liu, Jenny Hsing-I

    2010-01-01

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

  15. char_household2001.pdf

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

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

  16. char_household2001.pdf

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

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

  17. char_household2001.pdf

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

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

  18. char_household2001.pdf

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

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

  19. char_household2001.pdf

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

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

  20. char_household2001.pdf

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

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

  1. char_household2001.pdf

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

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

  2. char_household2001.pdf

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

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

  3. char_household2001.pdf

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

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

  4. char_household2001.pdf

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

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

  5. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

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

  6. Buildings and Energy in the 1980s

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

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

  7. 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.

  8. Integrated assessment of dispersed energy resources deployment

    E-Print Network [OSTI]

    Marnay, Chris; Blanco, Raquel; Hamachi, Kristina S.; Kawaan, Cornelia P.; Osborn, Julie G.; Rubio, F. Javier

    2000-01-01

    household water heating demand) to estimate energy demand, meteorological data to calculate regional solar

  9. Abrahamse, W., L. Steg, et al. (2005). "A review of intervention studies aimed at household energy conservation." Journal of Environmental Psychology 25(3): 273-291.

    E-Print Network [OSTI]

    2005-01-01

    . Frostell (2007). "Social sustainability and social acceptance in technology assessment: A case study of institutional and social conditions in realizing wind power projects." Renewable and Sustainable Energy Reviews

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

    E-Print Network [OSTI]

    Williams, Brett D

    2010-01-01

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

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

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

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

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

    Broader source: Energy.gov [DOE]

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

  13. Sustainable Energy - without the hot air

    E-Print Network [OSTI]

    MacKay, David

    2008-12-02

    breakdown of power consump- tion in my house, “after” the austerity mea- sures were introduced, is 6.2W/m2 of gas and 7.1W/m2 total.) Page 299 Another niggle with figure E.12 is that the PassivHaus standards use a different convention for defining power... : they define power in terms of “primary energy consumption,” which re- quires knowledge of the primary sources of elec- tricity and fuel, and of conversion efficiencies. This means that the PassivHaus standards are actually more stringent than the figure shows...

  14. Household gasoline demand in the United States

    E-Print Network [OSTI]

    Schmalensee, Richard

    1995-01-01

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

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

    E-Print Network [OSTI]

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

  16. Lightweighting Materials | Clean Energy | ORNL

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

    with lightweight materials can directly reduce fuel consump-tion. It also allows cars to carry advanced emissions control equipment, safety devices, and integrated...

  17. Household Vehicles Energy Consumption 1994 - Appendix C

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. VehicleDetailedW as

  18. Household Vehicles Energy Use Cover Page

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic. VehicleDetailedW

  19. Next Generation Household Refrigerator | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy Bills and Reduce Carbon PollutionZealand JoinsJune 1,of

  20. Microsoft Word - Household Energy Use CA

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO) Highlights1 M68October 2003 0 20

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

    Gasoline and Diesel Fuel Update (EIA)

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

  2. 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.

  3. Essays on household decision making in developing countries

    E-Print Network [OSTI]

    Berry, James W. (James Wesley)

    2009-01-01

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

  4. Household Water Quality Home Water Quality Problems

    E-Print Network [OSTI]

    Liskiewicz, Maciej

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

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

    SciTech Connect (OSTI)

    Doležalová, Markéta; Benešová, Libuše; Závodská, Anita

    2013-09-15

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

  6. Time Feature Selection for Identifying Active Household Members

    E-Print Network [OSTI]

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

  7. Ris-R-1297 (DA) Fordelingsvirkninger af energi-og miljaf-

    E-Print Network [OSTI]

    are illustrated using household consumption survey data and data covering household expenditures on energy on households in Denmark in the form of taxes on energy use of all kinds, water consumption and waste production on household consumption of energy and other polluting activities. Indirect effect is calculated to include

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

    E-Print Network [OSTI]

    Shyu, Mei-Ling

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

  9. 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. |...

  10. Space-Efficient FPGA-Accelerated Collision Detection for Virtual Prototyping Andreas Raabe, Stefan Hochgurtel,

    E-Print Network [OSTI]

    Zachmann, Gabriel

    , portable games devices). Here, the challenges, besides speed, are size and energy consump- tion. Another to a DDR

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

    E-Print Network [OSTI]

    Thomas, David D.

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

  12. 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.

  13. Energy in the Developing World Physics of Sustainable Energy

    E-Print Network [OSTI]

    Kammen, Daniel M.

    wellbeing (prosperity) 2. Life expectancy, public heath, health care 3. Literacy and education UN publishes Development Index (HDI) vs. Electricity ConsumpPon (kWh) Human Development Index (HDI) vs. Electricity ConsumpPon (kWh) Human Development Index (HDI) vs. Electricity

  14. Energie-Cits 2001 BIOMASS-WOOD

    E-Print Network [OSTI]

    ' was developed upon the basis of an energy data survey conducted among 2,500 households in the year 1996

  15. Distributed Energy Systems in California's Future: A Preliminary Report Volume 2

    E-Print Network [OSTI]

    Balderston, F.

    2010-01-01

    solar energy for heating and electricity occur at the householduse of solar energy? (c) Who in your household made the

  16. The Impact of Carsharing on Household Vehicle Ownership

    E-Print Network [OSTI]

    Martin, Elliot; Shaheen, Susan

    2011-01-01

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

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

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

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

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

    E-Print Network [OSTI]

    Ligon, Ethan

    2002-01-01

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

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

    Open Energy Info (EERE)

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

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

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

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

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

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

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

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

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

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

  3. 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...

  4. Home Performance with ENERGY STAR

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

    that support expanded participation in the Home Performance with ENERGY STAR Program. Our Vision Home Performance with ENERGY STAR is accessible to all American households....

  5. Alternative Energy Development and China's Energy Future

    E-Print Network [OSTI]

    Zheng, Nina

    2012-01-01

    Solar Water Heater Geothermal energy Biomass Pellets mil m2 Mtce Mt consumption Biogas and Biomass Gasification Liquid Biofuels Bioethanol Biodiesel mil rural households

  6. 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. 

  7. Building Energy-Efficiency Best Practice Policies and Policy Packages

    E-Print Network [OSTI]

    Levine, Mark

    2014-01-01

    energy-efficiency measure installed by households under this program, followed by heating system replacements and solar

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

    E-Print Network [OSTI]

    Samphantharak, Krislert

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

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

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01

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

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

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

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

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

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01

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

  12. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    21 Estimation of Home Energy and Supply Chain Carbonthe annual home energy and supply chain carbon footprints average direct home energy and supply chain carbon 

  13. 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.

  14. 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.

  15. PROCEEDINGS OF 1976 SUMMER WORKSHOP ON AN ENERGY EXTENSION SERVICE

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    Koyasako The Relationship Between Water and Energy Use andto the householder from water and energy conservation is afor implementation of water and energy conservation programs

  16. Energy Information Administration/Household Vehicles Energy Consumption 1994

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun2003 Detailed Tablesof1998 and 20027),

  17. Tax Credits, Rebates & Savings | Department of Energy

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

    of charge, direct installation energy efficiency assistance program available to most New Jersey households with significant energy usage and an ... Eligibility: Residential,...

  18. 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...

  19. Home Cooling Systems | Department of Energy

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

    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. |...

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

    E-Print Network [OSTI]

    Higham, Nicholas J.

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

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

    E-Print Network [OSTI]

    Lopez-Carr, David

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

  2. 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...

  3. PROJECTS FROM FEDERAL REGION IX DOE APPROPRIATE ENERGY TECHNOLOGY PILOT PROGRAM - PART I

    E-Print Network [OSTI]

    Case, C.W.

    2011-01-01

    household and non-industrial use. Energy for this small temperature differential can easily come from solar

  4. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    help California energy and policy analysts better assess end use detail  allows energy and policy analysts to better which would allow energy and policy analysts to better 

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

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2008-06-01

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

  6. 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:...

  7. 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,...

  8. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    residential energy efficiency measure savings estimates.  savings estimates associated with energy efficiency measures savings estimates for each measure reflect best available information on the  remaining efficiency 

  9. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    Energy Efficient Technology Potentials. 31 Conclusions and Recommendations 42 References. 45 Glossary . 50 Appendix 51 ii List

  10. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    Industrial Electric Motor Systems Market Opportunities  Assessment.  Technical Report Prepared for the United States Department of Energy

  11. One of These Homes is Not Like the Other: Residential Energy Consumption Variability

    E-Print Network [OSTI]

    Kelsven, Phillip

    2013-01-01

    ABSTRACT Households consume energy in many different waysvariations in energy consumption consume considerably morevariations in energy consumption tend to consume a lot more

  12. Driving equitable demand : early lessons from the BetterBuildings Program to access 'hard-to-reach' communities for energy efficiency building improvements

    E-Print Network [OSTI]

    Crauderueff, Robert (Robert Joseph)

    2011-01-01

    Increasing the energy efficiency of low- to moderate-income and minority-occupied households could significantly reduce energy consumption in the United States. Strategies to access these 'hard to reach' households, however, ...

  13. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    2006).  Pulp and Paper Industry.  Energy Bandwidth Study.  chemicals, and pulp  and paper industries were derived from Paper, Chemical Manufacturing, and Petroleum Refining Industries.  

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

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

    Shared solar projects allow consumers to take advantage of solar energys myriad benefits, even though the system is not located on the consumers own rooftop. | Photo...

  15. 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.

  16. 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.

  17. DOE/EIA-0514(85

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

    4(85 ) Energy Information Administratio n Manufact uring Energy Consump tion Survey: Method ologica l Report 1985 This publication is available from the Superintendent of...

  18. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    IPST (2006).  Pulp and Paper Industry.  Energy Bandwidth chemicals, and pulp  and paper industries were derived from Pulp and Paper, Chemical Manufacturing, and Petroleum Refining Industries.  

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

    SciTech Connect (OSTI)

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

    2012-01-01

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

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

    E-Print Network [OSTI]

    Forrest, Timothy Lee

    2007-04-25

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

  1. 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...

  2. 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...

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

    E-Print Network [OSTI]

    Chen, Wenjuan

    2014-07-31

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

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

    E-Print Network [OSTI]

    Sisk, Cheree L.

    2010-10-12

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

  5. 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...

  6. 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...

  7. 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.

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

    E-Print Network [OSTI]

    Kockelman, Kara M.

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

  9. MICROSIMULATION OF RESIDENTIAL LAND DEVELOPMENT AND HOUSEHOLD LOCATION CHOICES

    E-Print Network [OSTI]

    Kockelman, Kara M.

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

  10. Household scale slow sand filtration in the Dominican Republic

    E-Print Network [OSTI]

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

    2004-01-01

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

  11. Compatibility Between GFCI Breakers and Household Adjustable Speed Drives

    E-Print Network [OSTI]

    Kimball, Jonathan W.

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

  12. 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:...

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

    E-Print Network [OSTI]

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

    2001-01-01

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

  14. 10Tips to Spend Less on Household Goods Spend about $20 on a battery

    E-Print Network [OSTI]

    Tullos, Desiree

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

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

    E-Print Network [OSTI]

    Park, Won Young

    2011-01-01

    of LCD TVs to global energy consumption due to theoverall household or global energy consumption is uncertainFigure ES-3. Global TV Energy Consumption by Display Type in

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

    SciTech Connect (OSTI)

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

    2012-01-01

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

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

    E-Print Network [OSTI]

    Pasternack, Gregory B.

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

  18. Efficient upper and lower bounds for global mixed-integer optimal ...

    E-Print Network [OSTI]

    2013-11-07

    operated in two discrete modes, leading either to acceleration and energy consump- .... For this procedure asymptotic bounds and very efficient algorithms.

  19. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    smartregs City of Boulder Rebates Matrix web page: http://light bulbs (CFLs) or provide rebates for high- efficiencymeasures. Targeted rebates. It is clear that rebates help to

  20. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

    water) Conservation Ordinance WIPP – DOE’s WeatherizationInnovation Pilot Program (WIPP), awarded $30 million to 16around the country. The WIPP initiatives seek to overcome a

  1. Modelling the Energy Demand of Households in a Combined

    E-Print Network [OSTI]

    Steininger, Karl W.

    by the European Emissions Trading System (EU ETS) the many drivers and partly mobile emissions sources

  2. Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre,1 Transportation1.B : E S

  3. Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillion Cubic Feet) Havre,1 Transportation1.B : E SD

  4. EIA - Appendix B: Estimation Methodologies of Household Vehicles Energy

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic.

  6. Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic.C : Q U A L I T Y O

  7. Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic.C : Q U A L I T Y OE

  8. Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic.C : Q U A L I T Y

  9. Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic.C : Q U A L I T Y

  10. Household Vehicles Energy Use: Latest Data & Trends

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic.C : Q U A L I T

  11. Question of the Week: What Energy-Saving Improvements are on...

    Energy Savers [EERE]

    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. |...

  12. Policy Research Working Paper 5332 Energy Access, Efficiency, and Poverty

    E-Print Network [OSTI]

    Gertz, Michael

    Policy Research Working Paper 5332 Energy Access, Efficiency, and Poverty How Many Households, and estimates the household minimum energy requirement that could be used as a basis for an energy poverty line of a larger effort in the department to understand the role of energy in growth and poverty reduction. Policy

  13. Energy Intensity Indicators: Residential Source Energy Consumption

    Broader source: Energy.gov [DOE]

    Figure R1 below reports as index numbers over the period 1970 through 2011: 1) the number of U.S. households, 2) the average size of those housing units, 3) residential source energy consumption, 4...

  14. Obama Administration Awards More than $51 Million for State Energy...

    Energy Savers [EERE]

    across the state. Alaska will also establish a Residential Renewable Energy Rebate Program to provide rebates of up to 3,750 per household when homeowners install...

  15. Energy Department Announces Winners of Housing Innovation Awards...

    Office of Environmental Management (EM)

    diverse industry leaders bringing the best in energy efficient building technologies and design to new and older homes and helping households save money. The competition,...

  16. DHCD- Multifamily Energy Efficiency and Housing Affordability Program

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

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

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

    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...

  18. Networked Control and Autonomy Karl Henrik Johansson

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    energy grid #12;7/3/13 5 Networked Control Applications Urban Planning Smart Buildings Energy Information Administration Energy consump;on More and beGer networked control reduces energy consump;on #12;7/3/13 4 Why now? Time EUR Computa3on Communica3on

  19. Energy Data Sourcebook for the U.S. Residential Sector

    E-Print Network [OSTI]

    Wenzel, T.P.

    2010-01-01

    1989. Residential End-Use Energy Consumption: A Survey ofInstalled Wattage 10.3. Energy Consumption per Socket 10.4.Energy Consumption per Household 10.5. Total Energy

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  3. Household heating bills expected to be lower this winter

    Gasoline and Diesel Fuel Update (EIA)

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

  4. Energy-Efficient Lighting The typical American family spends more

    E-Print Network [OSTI]

    Energy-Efficient Lighting The typical American family spends more than $1,500 a year on household energy bills--and many households spend considerably more. Costs could climb even higher in the future, as electricity and natural gas prices continue to rise. Investing money in energy-saving products like compact

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

    E-Print Network [OSTI]

    Wang, Changlu

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

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

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

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

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

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

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

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

    E-Print Network [OSTI]

    2008-01-01

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

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

    E-Print Network [OSTI]

    Magana Lemus, David

    2013-09-20

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

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

    E-Print Network [OSTI]

    Dubois, Pierre; Ligon, Ethan

    2012-01-01

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

  11. Regional patterns of U.S. household carbon emissions

    E-Print Network [OSTI]

    Pizer, William; Sanchirico, James N.; Batz, Michael

    2010-01-01

    of those fuels. Increases in energy prices have importantof energy security, rising energy prices, and environmentalprograms that raise energy prices. For example, an analysis

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

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

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

    E-Print Network [OSTI]

    Cafarella, Michael J.

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

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

    E-Print Network [OSTI]

    Langerhans, Brian

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

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

    E-Print Network [OSTI]

    Leistikow, Bruce N.

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

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

    E-Print Network [OSTI]

    Meyer, Gary

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

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

    E-Print Network [OSTI]

    Leistikow, Bruce N.

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

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

    E-Print Network [OSTI]

    Rosen, Gina L

    2015-01-01

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

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

    E-Print Network [OSTI]

    Kim, Hee-Kyung

    2008-01-01

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

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

    E-Print Network [OSTI]

    Wood, D.J.

    2010-01-01

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

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

    E-Print Network [OSTI]

    Bakhtavoryan, Rafael

    2012-02-14

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

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

    E-Print Network [OSTI]

    Arlikatti, Sudha S

    2006-10-30

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

  3. Burlington Electric Department- Multi-Family Rental Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Burlington Electric Department offers an innovative rebate program geared towards rental apartment owners. The program is designed to offer rebates on some of the most energy intensive household...

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

    SciTech Connect (OSTI)

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

    2012-05-15

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

  5. Energy Efficiency Country Study: Republic Of South Africa

    E-Print Network [OSTI]

    Can, Stephane de la Rue du

    2014-01-01

    of Minerals and Energy. From http://www.eskom.co.za/2255 DOE. (2012 July). National Energy Efficiency Strategy -OF HOUSEHOLD BY TYPE OF ENERGY USED FOR L IGHTING , C OOKING

  6. Energy Use in China: Sectoral Trends and Future Outlook

    E-Print Network [OSTI]

    2008-01-01

    Urban and Rural (with biomass) As living standards rise, energy efficiencyUrban: Useful Energy Intensity (Megajoule per Household) Scenario: Ref Region: All Regions Cooking Variable: Cooking: Efficiency (energy efficiency improvement. Table 7 End Use Saturations and Intensities Saturation, % Urban

  7. Sectoral trends in global energy use and greenhouse gas emissions

    E-Print Network [OSTI]

    2006-01-01

    sector is based on a useful energy demand analysis 1 andif a household has a useful energy need of 700 MJ per yearIt is assumed that the useful energy requirement of Chinese

  8. PROCEEDINGS OF 1976 SUMMER WORKSHOP ON AN ENERGY EXTENSION SERVICE

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    Hydrologic Area: East Branch Energy 2,97 x 3,25 x 108 KWH =Energy conservation: Family values, household practices, and contextual values, East1974 energy costs were 3,249 KWH/AF for the East Branch and

  9. 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).

  10. California Households’ Willingness to Pay for “Green” Electronics

    E-Print Network [OSTI]

    Saphores, Jean-Daniel M; Nixon, Hilary; Ogunseitan, Oladele; Shapiro, Andrew A

    2007-01-01

    demand for ‘green power’ and energy efficiency Energyparticipating in “green” energy programs for businesses.residential demand for green power. Energy Policy, 29, pp.

  11. Japan's Residential Energy Demand Outlook to 2030 Considering Energy Efficiency Standards "Top-Runner Approach"

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2008-01-01

    Total Energy Source Demand Coal, Oil, Gas, Heat, ElectricityEnergy Source Demand per Household Coal, Oil, Gas, Heat,ton of oil equivalent Considerable increases in demand for

  12. Does energy follow urban form? : an examination of neighborhoods and transport energy use in Jinan, China

    E-Print Network [OSTI]

    Jiang, Yang, M.C.P. Massachusetts Institute of Technology

    2010-01-01

    This thesis explores the impacts of neighborhood form and location on household transportation energy use in the context of Jinan, China. From a theoretical perspective, energy use is a derived outcome of activities, and ...

  13. Estimating home energy decision parameters for a hybrid energyYeconomy policy model

    E-Print Network [OSTI]

    , household energy demand, hybrid energy model, bottom-up energy model 1. Introduction: energy a variety of energyYeconomy models are available to forecast the effectiveness of energy and envi- ronmentEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard

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

    E-Print Network [OSTI]

    Sweitz, Samuel Randles

    2006-10-30

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

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

    E-Print Network [OSTI]

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01

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

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

    E-Print Network [OSTI]

    Stevenson, Matthew M

    2009-01-01

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

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

    E-Print Network [OSTI]

    Berning, Torsten

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

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Nata, Jifar T

    2013-08-09

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

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

    E-Print Network [OSTI]

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

    1997-08-29

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

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

    E-Print Network [OSTI]

    Perusquia Corres, Ernesto

    2009-06-02

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

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

    E-Print Network [OSTI]

    Green, Vanessa (Vanessa Layton)

    2008-01-01

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

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

    E-Print Network [OSTI]

    Birmingham, University of

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

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

    E-Print Network [OSTI]

    Rausch, Sebastian

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

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

    E-Print Network [OSTI]

    le Riche, Marguerite M.

    2015-11-01

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

  6. Neighborhood design and the energy efficiency of urban lifestyle in China : treating residence and mobility as lifestyle bundle

    E-Print Network [OSTI]

    Chen, Yang, Ph. D. Massachusetts Institute of Technology. Dept. of Urban Studies and Planning

    2012-01-01

    China and the rest of the world are facing the challenge of meeting energy demand sustainably. Household-level energy consumption is a large ultimate driving force of a nation's energy use. Realizing a sustainable energy ...

  7. E. Velikhov e-mail: velikhov@mac.com

    E-Print Network [OSTI]

    type of fission reactors, including hybrid devices as "green" nuclear energy energy consumpAon scenarios in the world in the XXI century. According Energy Demands and Supply Opportuni=es of Energy Sources Balance of Primary Energy

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

    E-Print Network [OSTI]

    Siordia, Carlos

    2010-01-16

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

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

    SciTech Connect (OSTI)

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

    2006-11-15

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

  10. California Households’ Willingness to Pay for “Green” Electronics

    E-Print Network [OSTI]

    Saphores, Jean-Daniel M; Nixon, Hilary; Ogunseitan, Oladele; Shapiro, Andrew A

    2007-01-01

    Consumer demand for ‘green power’ and energy efficiencyresidential demand for green power. Energy Policy, 29, pp.specific approach to “green” power retailing: Students as

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

    SciTech Connect (OSTI)

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

    1987-08-01

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

  12. Energy Efficiency Retrofits for U.S. Housing: Removing the Bottlenecks

    E-Print Network [OSTI]

    Bardhan, Ashok; Jaffee, Dwight; Kroll, Cynthia; Wallace, Nancy

    2013-01-01

    2009 used 15% less energy per square foot than homes builtEnergy, by Building Type, As of 2009 Per Square Foot PerEnergy, By Vintage of Residence, as of 2009 Per Household Total # of Per Square Foot

  13. Equitable economic energy efficiency : creating good jobs in low-income efficiency programming

    E-Print Network [OSTI]

    Sarin, Amit

    2009-01-01

    Energy efficiency is an important consideration in energy policy-making. So, a federal program aimed at funding "energy efficiency retrofits" for low-income households could be an important step in increasing the overall ...

  14. Toward a Parametric Model for Major Household Systems Performance1

    E-Print Network [OSTI]

    Salustri, Filippo A.

    areas needing renovations in order to decrease residential total energy usage. Also, inclusion. This unfilled niche limits the advantages that home renovation could deliver to national energy use.6% of total energy consumption in Canada (OEE, 2006) and 21% in the United States (DOE, 2008), decisions

  15. Design for Energy Efficiency in Residential Buildings 

    E-Print Network [OSTI]

    Song, M.; Zhang, Y.; Yang, G.

    2006-01-01

    This paper presents the thermal design and heating design of an energy saving residential building in Beijing where the owners lived until 2004. Results show the advantages and disadvantages of a household-based heating mode by natural gas. Based...

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

    E-Print Network [OSTI]

    Kim, Hee-Kyung

    2008-01-01

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

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

    E-Print Network [OSTI]

    Monkkonen, P

    2013-01-01

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

  18. 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.

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

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

  20. Fuelwood Use by Rural Households in the Brazilian Atlantic Forest 

    E-Print Network [OSTI]

    Wilcox-Moore, Kellie J.

    2010-07-14

    Fuelwood is an important source of domestic energy in rural regions of Brazil. In the Zona da Mata of Minas Gerais, native species from the Atlantic Forest are an important source of fuelwood, supplemented by wood from ...

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

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

    Oaks, pp. pp. 259 – 286. IEA, 2005a. Saving ElectricityShortfalls in Electricity, IEA, 2005b. Saving Oil in agovernmental authorities (IEA 2005a). This has most recently

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

    E-Print Network [OSTI]

    Julien, Aurore; Barrett, Mark; Croxford, Ben

    2011-01-01

    closure of a number of power stations, and a variety ofclosure of a number of power stations. In addition to this,

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S The National Interim7141.Information

  4. Regional Energy Centres (REC) SIDA DemoEast programme in Estonia. Supply, delivery

    E-Print Network [OSTI]

    Planning issues Transport companies District Heating Sustainable communities Utilities Solar energy User Citizens Energy efficiency Refurbishment of buildings Households Heating Transport and mobility Property behaviour ESCOs Biomass Education Architects and engineers Wind Other (Heating) Financial institutions

  5. Making energy efficiency desirable : lessons from a cutting-edge program in Minneapolis

    E-Print Network [OSTI]

    Stern, Stephanie (Stephanie B.)

    2011-01-01

    For the last 30 years, experts have claimed that energy efficiency upgrades in existing buildings can lead to significant reductions in energy use, yet efficiency programs, particularly those geared towards households, ...

  6. Residential energy demand modeling and the NIECS data base : an evaluation

    E-Print Network [OSTI]

    Cowing, Thomas G.

    1982-01-01

    The purpose of this report is to evaluate the 1978-79 National Interim Energy Consumption Survey (NIECS) data base in terms of its usefulness for estimating residential energy demand models based on household appliance ...

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

    E-Print Network [OSTI]

    Wang, Changlu

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

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

    E-Print Network [OSTI]

    Krivobokova, Tatyana

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

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

    E-Print Network [OSTI]

    Washington at Seattle, University of

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

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

    E-Print Network [OSTI]

    Walker, Robert T.

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

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

    E-Print Network [OSTI]

    O'Brien, Timothy E.

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

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

    SciTech Connect (OSTI)

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

    2011-01-01

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

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Rheingans, Richard

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

  15. Opportunistic Sensing for Smart Heating Control in Private Households

    E-Print Network [OSTI]

    devices. Since heating represents the major source of energy consumption in do- mestic environments in the home, our solution may significantly lower the adoption barrier of smart heating solutions. 1.1 Background Traditional heating control systems use preset time intervals to avoid heating the home when its

  16. Entracker: Energy Tracker for Homes Sunil Mallya

    E-Print Network [OSTI]

    Fonseca, Rodrigo

    Introduction and Motivation In recent years there has been significant interest to build smart energy meters. The stats from Office of Energy Efficiency and Renewable Energy indicate that an average household in the USEntracker: Energy Tracker for Homes Sunil Mallya Department of Computer Science Brown University

  17. Monthly energy review, August 1995

    SciTech Connect (OSTI)

    1995-08-24

    Two brief articles are presented: measuring dependence on imported oil; and preliminary estimates of household energy consumption and expenditures in 1993. Then statistical tables are presented: energy overview, energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. Appendices present thermal conversion factors, metric and other physical conversion factors, CO{sub 2} emission factors for coal, and listing of previous articles. A glossary is also included.

  18. Towards a PowerPedia A collaborative energy encyclopedia

    E-Print Network [OSTI]

    in the IEA191 grew by 57% from 1990 to 2005 [2]. Moreover, electricity consumption in residential buildings (IEA) provide detailed insights on household energy use. Copyright is held by the author

  19. Short-Term Energy and Winter Fuels Outlook October 2013

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

    3 1 October 2013 Short-Term Energy and Winter Fuels Outlook (STEO) Highlights EIA projects average U.S. household expenditures for natural gas and propane will increase by 13%...

  20. Table 2. Percent of Households with Vehicles, Selected Survey Years

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672 7,2060 0 1 0 0 0a.

  1. Operational energy consumption and GHG emissions in residential sector in urban China : an empirical study in Jinan

    E-Print Network [OSTI]

    Zhang, Jiyang, M.C.P. Massachusetts Institute of Technology

    2010-01-01

    Driven by rapid urbanization and increasing household incomes, residential energy consumption in urban China has been growing steadily in the past decade, posing critical energy and greenhouse gas emission challenges. ...

  2. Electronic Journal of Statistics Vol. 7 (2013) 562596

    E-Print Network [OSTI]

    Cardot, Hervé

    2013-01-01

    consumption measured by individual smart meters. Motivated by the estimation of mean consump- tion electricity domains such as internet traffic moni- toring (see Callado et al. (2009)) or estimation of energy

  3. CHAPTER 13: ENERGY AND POVERTY

    E-Print Network [OSTI]

    Kammen, Daniel M.

    forms of energy. It projects biomass use and electricity access rates for the next three decades and poverty in developing countries. It describes current patterns of energy use, including rates details electricity access and the way households make the transition from traditional fuels to modern

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

    E-Print Network [OSTI]

    Finley, Dayna

    2012-07-11

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

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

    E-Print Network [OSTI]

    Baffrey, Robert Michael Nuval, 1977-

    2005-01-01

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

  6. Residential Energy Consumption Survey: Quality Profile

    SciTech Connect (OSTI)

    1996-03-01

    The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

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

    E-Print Network [OSTI]

    2015-01-01

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

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

    SciTech Connect (OSTI)

    Cameron, M.

    1995-09-01

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

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

    E-Print Network [OSTI]

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

    2015-01-16

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

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

    SciTech Connect (OSTI)

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

    2013-01-15

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

  11. 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.

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

    SciTech Connect (OSTI)

    Train, K.; Atherton, T.

    1994-11-01

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

  13. Design implications for social-energy applications Tawanna Dillahunt, Jen Mankoff

    E-Print Network [OSTI]

    environmental implications are topics of global concern. In the U.S., a country with high per-capita energy use]. The average annual cost of electricity is $1,000 per household yet consumers often lack knowledge about

  14. Proceedings of the 1991 Socioeconomic Energy Research and Analysis Conference

    SciTech Connect (OSTI)

    Not Available

    1993-07-01

    These proceedings analyze US energy policy as it pertains to minority groups. Example topics include: Economic impacts of the National Energy Strategy on minority and majority households, Utility measures to assist payment-troubled customers, Equity impacts of controlling energy usage through market-based versus regulatory approaches, Technical and planning support for the DOE-HUD initiative for energy efficiency in housing, an analysis of residential energy consumption and expenditures by minority households by home type and housing vintage, and methodical issues in evaluating integrated least cost planning programs.

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

    E-Print Network [OSTI]

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

    2011-12-13

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

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

    SciTech Connect (OSTI)

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

    1987-01-01

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

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

    E-Print Network [OSTI]

    Foster, Henry Sessam

    1977-01-01

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

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

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

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

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  20. Retrofitting the domestic built environment: investigating household perspectives towards energy efficiency technologies and behaviour

    E-Print Network [OSTI]

    Pelenur, Marcos

    2014-03-04

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168 References 171 Appendix A Q statements 193 Appendix B Census calculations 199 Appendix C Q study factor loadings 213 Appendix D Winter and summer survey data 217 xiv Contents xv List of Figures 2.1 Housing stock distribution by type (millions... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.8 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2 Background 10 2.1 Retrofitting the UK domestic built environment . . . . . . . . . . . . 10 2.1.1 Building stock...

  1. UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE

    E-Print Network [OSTI]

    Diallo, Ibrahima

    2013-05-31

    the logarithm operator to this equation will give ln ( , ) (1 ) ln ( ) ln ( )C U U a U b? ? ?p p p (2.1.54) Deaton and Muellbauer (1980) assign a Translog structure to ln ( )a p 0 1 1 1 1ln ( ) ln ln ln2 n n n k k kj k j k k j a a a p p p... 0 0 1 1 1 1 1ln ( , ) ln ln ln2 k nn n n k k kj k j kk k j k C U a a p p p U p?? ? ? ? ? ? ? ? ? ?? ?? ?p ? (2.1.57) or equivalently, 0 1 ln ( , ) ln ( ) k n k k C U a U p?? ? ? ? ?p p (2.1.58) From the Sephard’s lemma, ( , ) ii C U qp ? ?? p...

  2. Understanding and Improving Household Energy Consumption and Carbon Emissions Policies - A System Dynamics Approach 

    E-Print Network [OSTI]

    Oladokun, M.; Motawa, I.; Banfill, P.

    2012-01-01

    The purpose of this paper is to propose and demonstrate the application of system dynamics modeling approach to analyze and study the behavior the complex interrelationships among the different policies/interventions aimed ...

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0 0 0 0 0

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S The National Interim7141.

  5. Human Capacity Building in Energy Efficiency and Renewable Energy System Maintenance for the Yurok Tribe

    SciTech Connect (OSTI)

    Engel, R. A.' Zoellick, J J.

    2007-07-31

    From July 2005 to July 2007, the Schatz Energy Research Center (SERC) assisted the Yurok Tribe in the implementation of a program designed to build the Tribe’s own capacity to improve energy efficiency and maintain and repair renewable energy systems in Tribal homes on the Yurok Reservation. Funding for this effort was provided by the U.S. Department of Energy’s Tribal Program under First Steps grant award #DE-FG36-05GO15166. The program’s centerpiece was a house-by-house needs assessment, in which Tribal staff visited and conducted energy audits at over fifty homes. The visits included assessment of household energy efficiency and condition of existing renewable energy systems. Staff also provided energy education to residents, evaluated potential sites for new household renewable energy systems, and performed minor repairs as needed on renewable energy systems.

  6. Residential Energy Conservation: Standards, Subsidies, and Public Programs

    E-Print Network [OSTI]

    Quigley, John M.

    1986-01-01

    households claiming energy conservation credits is so much larger than those claiming solar andsolar and wind energy tax credits; by 1983 49 percent of these credits ($61.2 M) were claimed by householdshouseholds, or more than four times the number claiming wind and solar energy

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    2002 (2000 data), and World Energy Outlook 2006 (2005 data).Agency. IEA (2002). World Energy Outlook, InternationalParis IEA (2006). World Energy Outlook, International Energy

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    IEA (2002). World Energy Outlook, International EnergyParis IEA (2006). World Energy Outlook, International Energyin the IEA’s World Energy Outlook (WEO) 2002 (2000 data),

  9. Increased use of Renewable Energy in Africa through a Program of Energy Enterprise Development and Investment

    SciTech Connect (OSTI)

    Christine Eibs Singer

    2005-03-11

    To provide training in enterprise development and technical applications, local partner capacity building, individualized enterprise development services and seed capital investment to catalyze the creation of sustainable renewable energy enterprises that deliver clean energy services to households and businesses in South Africa, Ethiopia and Tanzania.

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

    SciTech Connect (OSTI)

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

    2008-01-25

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

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

    E-Print Network [OSTI]

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

  12. 1 THE WELFARE IMPLICATIONS OF CARBON TAXES AND CARBON 2 CAPS: A LOOK AT U.S. HOUSEHOLDS

    E-Print Network [OSTI]

    Kockelman, Kara M.

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

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

    E-Print Network [OSTI]

    Wolberg, George

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

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

    E-Print Network [OSTI]

    Alpay, S. Pamir

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

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

    E-Print Network [OSTI]

    Langerhans, Brian

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

  16. Energy Outlier Detection in Smart Environments Chao Chen and Diane Cook

    E-Print Network [OSTI]

    Cook, Diane J.

    Energy Outlier Detection in Smart Environments Chao Chen and Diane Cook School of Electrical and predicting energy usage. In this paper, we propose a framework to mine raw energy data by transforming time and automobiles. In fact, households are responsible for over 40% of energy usage in most countries (P

  17. A novel thermomechanical energy conversion cycle Ian M. McKinley, Felix Y. Lee, Laurent Pilon

    E-Print Network [OSTI]

    Pilon, Laurent

    of waste mechanical energy include fluid flow, household appliances, industrial equipment, motor vehiclesA novel thermomechanical energy conversion cycle Ian M. McKinley, Felix Y. Lee, Laurent Pilon of a novel cycle converting thermal and mechanical energy directly into electrical energy. The new cycle

  18. It's Not All About "Green": Energy Use in Low-Income Communities

    E-Print Network [OSTI]

    Paulos, Eric

    energy consumption, specifically home energy consumption such as heating, cooling, and electricity, has consumption, home energy consumption (heating, cooling, electricity use) is one of the largest, especially heating, cooling, and electricity than affluent households [7]. In fact, the median energy consumption

  19. Economic Growth and the Transition from Non-renewable to Renewable Energy

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Economic Growth and the Transition from Non-renewable to Renewable Energy Alfred Greiner Lars a canonical growth model with damages in the household's welfare function and two energy sources ­ non-renewable and renewable energy. To produce renewable energy a capital stock must be built up. We study when a transition

  20. Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier

    E-Print Network [OSTI]

    Revelt, David; Train, Kenneth

    2000-01-01

    M a y 2000 Keywords: energy suppliers, mixed logit, tastecustomers' choice among energy suppliers in conjoint-typecustomers' choice o f energy supplier and estimate the value

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

    E-Print Network [OSTI]

    Liu, Jenny Hsing-I

    2010-01-01

    What if ? 4.1 Energy Price Increases Annually . . . . .that at faster rates of energy price increase, householdsmaximization with 1% annual energy price increase - Period

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    Agency. IEA (2002). World Energy Outlook, InternationalParis IEA (2006). World Energy Outlook, International Energyprimarily in the IEA’s World Energy Outlook (WEO) 2002 (2000

  3. Ris Energy Report 4 Supply technologies in the future energy system 10 Supply technologies in the future energy system

    E-Print Network [OSTI]

    fuel (REtrol, Chapter 4) or heat, whether from direct electric heating, or heat pumps. Other uses biomass covers wood, agricultural residues, energy crops, household waste and agro-industrial waste and heat Denmark is one of the few countries where the use of both straw and wood in power plants

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

    SciTech Connect (OSTI)

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

    2012-10-15

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

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

    SciTech Connect (OSTI)

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

    1999-07-16

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

  6. Taming the Energy Hog in Cloud Infrastructure

    E-Print Network [OSTI]

    Hunt, Galen

    gasoline Transformer UPS PDU Power grid power Water chillers CRAC air water Racks Internet PUE= #12 energy consumption consumed 61 Billion kWh in 2006, enough to power 5.8 Million average US households 190 miles of conduit 7.5 miles of chilled water piping 100+ MW Power Capacity 60 MW Total Critical

  7. Biomass Stove Pollution Sam Beck ATOC-3500 Biomass energy accounts for about 15% of the world's primary energy consumption and

    E-Print Network [OSTI]

    Toohey, Darin W.

    , institutions and industries leads to reduced fuel consumption, faster processing, improved product quality's primary energy consumption and about 38% of the primary energy consumption in developing countries Air Pollution due to bad combustion (production of smoke). The improved use of biomass in households

  8. A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy Design in the UK

    E-Print Network [OSTI]

    Aickelin, Uwe

    of household behaviour of using energy, and the duration of property daytime occupancy. With the proposed model for 26% of overall UK CO2 emission (Swan et al, 2010). As the UK is a heavily urbanised industrial a 2020 national target of cutting CO2 emission by 34% from 1990 levels. Designing energy policy at local

  9. Appraisal of the energy policy in Nigeria

    SciTech Connect (OSTI)

    Ngoka, N.I.

    1980-12-01

    As a major oil producing and exporting country, Nigeria has acquired huge wealth from this resource. This has given rise to the purchase of energy consuming devices for households use and rapid industrialization. All these demand energy and assist in the improvement of the standard of living of the inhabitants. This paper examines Nigeria's energy problems and the policy which the government has adopted to solve them.

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

    SciTech Connect (OSTI)

    Lebersorger, S.; Beigl, P.

    2011-09-15

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

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

    SciTech Connect (OSTI)

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

    2014-10-14

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

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

    SciTech Connect (OSTI)

    Slagstad, Helene; Brattebo, Helge

    2012-07-15

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

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

    SciTech Connect (OSTI)

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

    2013-01-15

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

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

    E-Print Network [OSTI]

    VanCalcar, Jenny E. (Jenny Elizabeth)

    2006-01-01

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

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

    E-Print Network [OSTI]

    Rafael Yaquian-Illescas

    2004-01-01

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

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

    E-Print Network [OSTI]

    Look, Wesley Allen

    2013-01-01

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

  17. SEARCHING FOR SUSTAINABILITY: KENYA'S ENERGY PAST AND FUTURE, NOVEMBER 2006 SEARCHING FOR SUSTAINABILITY

    E-Print Network [OSTI]

    Jacobson, Arne

    , Kenya was the focus of numerous donor-driven projects in household energy, solar power, and other formsSEARCHING FOR SUSTAINABILITY: KENYA'S ENERGY PAST AND FUTURE, NOVEMBER 2006 1 SEARCHING FOR SUSTAINABILITY KENYA'S ENERGY PAST AND FUTURE BY ROB BAILIS, CHARLES KIRUBI AND ARNE JACOBSON SEARCHING

  18. Sustainable Energy --without the hot air David J.C. MacKay

    E-Print Network [OSTI]

    MacKay, David J.C.

    units. Energies are expressed as quan­ CONSUMPTION PRODUCTION Wind: 20 kWh/d Wave: 4 kWh/d Solar heating units that appear on household energy bills; and powers are expressed in kilowatt­hours per day (k1 Sustainable Energy -- without the hot air David J.C. MacKay Synopsis We have an addiction

  19. Sustainable Energy without the hot air David J.C. MacKay

    E-Print Network [OSTI]

    MacKay, David J.C.

    person in kilowatt-hours (kWh), the same units that appear on household energy bills; and powers1 Sustainable Energy ­ without the hot air David J.C. MacKay Synopsis We have an addiction energy from fossil fuels; Britain, 90%. And this is unsustainable for three reasons. First, easily

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

    E-Print Network [OSTI]

    Liu, Jenny Hsing-I

    2010-01-01

    How Big is the” Rebound” Effect? The Energy Journal, 13(1):of the direct rebound effect: a review. Energy policy, 37(The declining rebound effect. The Energy Journal, 28(1):25,

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

    E-Print Network [OSTI]

    2008-01-01

    greenhouse gases. Energy Policy (2008), doi:10.1016/j.rebound effect—a survey. Energy Policy 28 (6-7), 389–401.and climate policy. Energy Policy 32 (4), 481–491. Leiby,

  2. Household activities through various lenses: crossing surveys, diaries and electric consumption

    E-Print Network [OSTI]

    Durand-Daubin, Mathieu

    2013-01-01

    comparison between electricity consumption and behavioralU.S. residential electricity consumption” Energy Policy, 42(of the residential electricity consumption. ” Energy Policy,

  3. Home Energy Displays. Consumer Adoption and Response

    SciTech Connect (OSTI)

    LaMarche, Janelle; Cheney, K.; Akers, C.; Roth, K.; Sachs, O.

    2012-12-01

    The focus of this project was to investigate the factors influencing consumer adoption of Home Energy Displays (HEDs) and to evaluate electricity consumption in households with basic HEDs versus enhanced feedback methods - web portals or alerts. The team hypothesized that providing flexible and relatable information to users, in addition to a basic HED, would make feedback more effective and achieve persistent energy savings. In Phase I, Fraunhofer conducted three user research studies and found preferences for aesthetically pleasing, easy to understand feedback that is accessible through multiple media and offered free of charge. The deployment of HEDs in 150 households planned for Phase II encountered major recruitment and HED field deployment problems. In light of these challenges, the team is pursuing a modified study investigating the energy savings of a web portal versus alert-based energy feedback instead of a physical HED.

  4. 2/21/2014 Downsizing Wind Energyfor Your Phone | Glacial EnergyBlog -Commercial Electric Savings, Electric Provider, Electric Supplier http://blog.glacialenergy.com/2014/02/19/downsizing-wind-energy-for-your-phone/ 1/2

    E-Print Network [OSTI]

    Chiao, Jung-Chih

    2/21/2014 Downsizing Wind Energyfor Your Phone | Glacial EnergyBlog - Commercial Electric Savings Energy Saving Tips Events General Electricity green roof Household Tips Life Tips Natural Gas New, Electric Provider, Electric Supplier http://blog.glacialenergy.com/2014/02/19/downsizing-wind-energy

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    IEA’s World Energy Outlook (WEO) 2002 (2000 data), and Worldcountries not covered by WEO were taken from demographic

  6. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 59, NO. 2, FEBRUARY 2010 335 An Adaptive Sampling Algorithm for Effective

    E-Print Network [OSTI]

    Alippi, Cesare

    . This approach, which requires the design of adaptive measurement systems, minimizes the energy consump- tion can be recharged, e.g., through solar energy harvesting mechanisms [5]. In recent years, many energy Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors

  7. Integration Of Locational Decisions with the Household Activity Pattern Problem and Its Applications in Transportation Sustainability

    E-Print Network [OSTI]

    Kang, Jee E

    2013-01-01

    California, Irvine. Through the collaboration, we were able to merge our expertise in transportation systems and energyCalifornia’s SB 32, achieving sustainable transportation system has never seemed more promising. Many recent assessments on energyCalifornia’s SB 32), achieving sustainable transportation system has never seemed more promising. Many recent assessments of energy

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

    E-Print Network [OSTI]

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

  9. Energy Policy 35 (2007) 29602968 Engineering, institutions, and the public interest: Evaluating product

    E-Print Network [OSTI]

    Jacobson, Arne

    2007-01-01

    solar market. r 2006 Elsevier Ltd. All rights reserved. Keywords: Solar energy; Market regulation). Much of this activity is related to the sale of household solar electric systems, which accountEnergy Policy 35 (2007) 2960­2968 Engineering, institutions, and the public interest: Evaluating

  10. Energy-saving technology adoption under uncertainty in the residential sector

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy-saving technology adoption under uncertainty in the residential sector Dorothée Charlier, Alejandro Mosiño and Aude Pommeret October 5, 2009 Abstract Home renovation is generally asserted to be a highly effective means for households to lower expenditures on energy. In this sense, home renova- tion

  11. The Role of Behavioural Economics in Energy and Climate Policy

    E-Print Network [OSTI]

    Pollitt, Michael G.; Shaorshadze, Irina

     result in decreased energy consumption.    Brutscher (2011b) finds that low?income households use electric heat rather than oil because they have  liquidity constraints—heating oil  requires bulk purchase, whereas electricity meters can be prepaid  in  small amounts. As oil heating  is...

  12. Conway Street Apartments: A Multifamily Deep Energy Retrofit

    SciTech Connect (OSTI)

    Aldrich, R.; Williamson, J.

    2014-11-01

    While single-family, detached homes account for 63% of households (EIA 2009); multi-family homes account for a very large portion of that remaining housing stock, and this fraction is growing. Through recent research efforts, CARB has been evaluating strategies and technologies that can make dramatic improvements in energy performance in multi-family buildings.

  13. Energy and Human Health Kirk R. Smith,1

    E-Print Network [OSTI]

    Mauzerall, Denise

    by Annual Reviews. All rights reserved Keywords coal, air pollution, biomass fuel, petroleum, nuclear energy accrue to the harvesting and burning of solid fuels, coal and biomass, mainly in the form of occupational health risks and household and general ambient air pollution. Lack of access to clean fuels

  14. GreenPar: Scheduling Parallel High Performance Applications in Green Datacenters

    E-Print Network [OSTI]

    Bianchini, Ricardo

    applications in datacenters partially powered by on-site generation of renewable ("green") energy. GreenPar schedules the workload to maximize the green energy con- sumption and minimize the grid ("brown") energy consump- tion, while respecting a performance service-level agreement (SLA). When green energy

  15. Insights from Smart Meters: Ramp Up, Dependability, and Short-Term Persistence of Savings from Home Energy Reports

    Broader source: Energy.gov [DOE]

    In this report, we use smart meter data to analyze the ramp-up, dependability, and short-term persistence of savings in one type of BB program: Home Energy Reports (HERs). In these programs, reports are mailed to households on a monthly, bi-monthly, or even quarterly basis. The reports provide energy tips and information about how a household's energy use compares to its neighbors. HERs typically obtain 1% to 3% annual electricity savings; several studies report that savings from mature HERs persist over multiple years while the programs are running (and decay after the reports are discontinued).

  16. An innovative educational program for residential energy efficiency. Final report

    SciTech Connect (OSTI)

    Laquatra, J.; Chi, P.S.K.

    1996-09-01

    Recognizing the importance of energy conservation, under sponsorship of the US Department of Energy, Cornell University conducted a research and demonstration project entitled An Innovative Educational Program for Residential Energy Efficiency. The research project examined the amount of residential energy that can be saved through changes in behavior and practices of household members. To encourage these changes, a workshop was offered to randomly-selected households in New York State. Two surveys were administered to household participants (Survey 1 and Survey 2, Appendix A) and a control group; and a manual was developed to convey many easy but effective ways to make a house more energy efficient (see Residential Manual, Appendix B). Implementing methods of energy efficiency will help reduce this country`s dependence on foreign energy sources and will also reduce the amount of money that is lost on inefficient energy use. Because Cornell Cooperative Extension operates as a component of the land-grant university system throughout the US, the results of this research project have been used to develop a program that can be implemented by the Cooperative Extension Service nationwide. The specific goals and objectives for this project will be outlined, the population and sample for the research will be described, and the instruments utilized for the survey will be explained. A description of the workshop and manual will also be discussed. This report will end with a summary of the results from this project and any observed changes and/or recommendations for future surveys pertaining to energy efficiency.

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Liu, Jenny Hsing-I

    2010-01-01

    M.E. Birkeland and J. Jordal-Jørgensen. Energy efficiency of2000) [18], Birkeland and Jordal- Jørgensen (2001) [13]),2000) [18], Birkeland and Jordal-Jørgensen (2001) [13] to

  19. EVOLUTION OF THE HOUSEHOLD VEHICLE FLEET: ANTICIPATING FLEET COMPOSITION, PHEV ADOPTION AND GHG

    E-Print Network [OSTI]

    Kockelman, Kara M.

    more significant effects on energy dependence and greenhouse gas emissions. INTRODUCTION AND MOTIVATION all #12;scenarios. And HEVs, PHEVs and Smart Cars are estimated to represent a major share

  20. International Energy Outlook 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43 by September1 716810,HouseholdsSeptember 9, 2014"

  1. Residential Network Members Impact More Than 42,000 Households | Department

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A Wholesale PowerNatural Gas ProducersResidentialofof Energy

  2. INTRODUCTION Given the worldwide growth in the number of

    E-Print Network [OSTI]

    Wang, Cheng-Xiang

    to meaningfully measure success, appropriate measures of energy consump- tion must be applied. For example the energy savings obtainable from different tech- niques that can be employed on wireless links. Finally, we and net- work operators has shown that current wireless networks are not very energy efficient, particu

  3. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect (OSTI)

    Mundaca, Luis; Neij, Lena; Worrell, Ernst; McNeil, Michael A.

    2010-08-01

    The growing complexities of energy systems, environmental problems and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically analyse bottom-up energy-economy models and corresponding evaluation studies on energy efficiency policies to induce technological change. We use the household sector as a case study. Our analysis focuses on decision frameworks for technology choice, type of evaluation being carried out, treatment of market and behavioural failures, evaluated policy instruments, and key determinants used to mimic policy instruments. Although the review confirms criticism related to energy-economy models (e.g. unrealistic representation of decision-making by consumers when choosing technologies), they provide valuable guidance for policy evaluation related to energy efficiency. Different areas to further advance models remain open, particularly related to modelling issues, techno-economic and environmental aspects, behavioural determinants, and policy considerations.

  4. Changing Trends: A Brief History of the US Household Consumption of Energy, Water, Food, Beverages and Tobacco

    E-Print Network [OSTI]

    at 215 million Btu. The rate of consumption generally increased until the oil price shocks of the mid and Tobacco Rick Diamond and Mithra Moezzi, Lawrence Berkeley National Laboratory ABSTRACT Can an historic. By reviewing the trends in historic consumption we see examples of where policy has led to increases

  5. A functional analysis of electrical load curve modelling for some households specific electricity end-uses

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    domestic end-uses, the development of plug-in hybrid and electric vehicles, the increase of heat pumps heating systems such as heat pumps in new building or which will replace old installed fossil fuels based influences: · best building insulation which will reduce the energy needs for heating and cooling; · new

  6. Are domestic load profiles stable over time? An attempt to identify target households for demand

    E-Print Network [OSTI]

    ¨urich, Switzerland Email: beckel@inf.ethz.ch Thorsten Staake Energy Efficient Systems University of Bamberg 96047 Bamberg, Germany Email: thorsten.staake@uni-bamberg.de Abstract--Elaborating demand side management that the whole clustering of the time series, with a few adaptations on the usage of the K-Means algorithm

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

    SciTech Connect (OSTI)

    Eisenberg, Joel F. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2005-10-31

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

  8. April, 27, 2010 Forms of Energy

    E-Print Network [OSTI]

    Toohey, Darin W.

    . With a solar insolation of 1,700 kWh/m²/yr an average household needs 8 to 10 square meters of solar panels Coal Methane Nuclear Oil Renewable Wind Solar Hydro Ethanol?? #12;#12;Carbon Based Energy Coal.77 2.99 0.55 0.89 1.27 #12;R e n e w a b l e s Wind, Solar, Hydro, Geothermal #12;Wind Turbines Cradle

  9. Towards New Widgets to Reduce PC Power Consumption

    E-Print Network [OSTI]

    Brewster, Stephen

    different power saver settings. The results suggest that the power consump- tion of different interaction and developing energy efficient user interfaces in the con- text of battery powered devices. However, to our generally for mains powered devices. GUI Energy Characterisation There have been a number of studies

  10. GCD: S1H --A Uni-Processor Hw/Sw Solution (Laboratory Session 5, EDAN15)

    E-Print Network [OSTI]

    your design and report the device utilization, time (clock cycles), power and energy consump- tion the whole design (generate bitstream and export to XSDK), keeping an eye on the synthesis report to make. Record the power and compute the energy consumption for the same data sets and compiler setups as used

  11. A methodology to evaluate the competitiveness of electric delivery trucks Brian A. Davis, Miguel A. Figliozzi

    E-Print Network [OSTI]

    Bertini, Robert L.

    constraints, speed profiles, energy consump- tion, and vehicle ownership costs is developed. The model presented here could easily be applied to any country or region or even alternative en- gines and energy vehicles Logistical constraints Real-world speed profiles a b s t r a c t This paper examines

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

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

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

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional37 Housing843480 Home

  14. "Table HC7.12 Home Electronics Usage Indicators by Household Income, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional37 Housing843480 Home2

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional37 Housing843480

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOE Safety StandardsLaborLignol InnovationsListing1,400

  17. Table 5.12. U.S. Average Vehicle-Miles Traveled by Household Composition,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672 7,2060 0 1 02. U.S. Average

  18. Table 5.17. U.S. Number of Households by Vehicle Fuel Expenditures,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672 7,2060 0 1 02. U.S.

  19. Table 5.2. U.S. per Household Vehicle-Miles Traveled, Vehicle Fuel Consumption

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearbyWithdrawalsHome6,672 7,2060 0 1 02. U.S.8. U.S.. U.S.

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Freezing in the dark: Energy security and heating emergencies in Nova Scotia

    E-Print Network [OSTI]

    Hughes, Larry

    · Demand side management · Natural gas · Wind and tidal · Grid upgrade · Lower Churchill #12;What Canada, Survey of Household Spending in 2005, 2005 #12;Cost of fuel by quintile 0% 5% 10% 15% 20% 25 assistance programs: ­ "Your energy rebate" ­ Heating Assistance Rebate Program (HARP) ­ Heat Smart

  6. Criteria for determining the effectiveness of utility-initiated energy assistance

    SciTech Connect (OSTI)

    Costello, Ken

    2010-04-15

    The affordability of electricity and natural gas to all households requires some form of energy assistance, funded by utilities and their customers. Good regulation demands that EA initiatives have favorable benefit-cost ratios. Regulators should strive to assure that each dollar expended returns the highest possible dividend and that EA initiatives do not seriously impede other regulatory objectives. (author)

  7. SEARCHING FOR SUSTAINABILITY: KENYA'S ENERGY PAST AND FUTURE, NOVEMBER 2006 SEARCHING FOR SUSTAINABILITY

    E-Print Network [OSTI]

    Kammen, Daniel M.

    , Kenya was the focus of numerous donor-driven projects in household energy, solar power, and other forms-Saharan Africa, per capita fossil fuel consumption has also increased since the Nairobi conference. This growth currently has one of the highest per capita rates of solar photovoltaic (PV) adoption in the developing

  8. Electricity storage for grid-connected household dwellings with PV panels

    SciTech Connect (OSTI)

    Mulder, Grietus; Six, Daan; Ridder, Fjo De

    2010-07-15

    Classically electricity storage for PV panels is mostly designed for stand-alone applications. In contrast, we focus in this article on houses connected to the grid with a small-scale storage to store a part of the solar power for postponed consumption within the day or the next days. In this way the house owner becomes less dependent on the grid and does only pay for the net shortage of his energy production. Local storage solutions pave the way for many new applications like omitting over-voltage of the line and bridging periods of power-line black-out. Since 2009 using self-consumption of PV energy is publicly encouraged in Germany, which can be realised by electric storage. This paper develops methods to determine the optimal storage size for grid-connected dwellings with PV panels. From measurements in houses we were able to establish calculation rules for sizing the storage. Two situations for electricity storage are covered: - the storage system is an optimum to cover most of the electricity needs; - it is an optimum for covering the peak power need of a dwelling. After these calculation rules a second step is needed to determine the size of the real battery. The article treats the aspects that should be taken into consideration before buying a specific battery like lead-acid and lithium-ion batteries. (author)

  9. Home Performance with ENERGY STAR: Utility Bill Analysis on Homes Participating in Austin Energy's Program

    SciTech Connect (OSTI)

    Belzer, D.; Mosey, G.; Plympton, P.; Dagher, L.

    2007-07-01

    Home Performance with ENERGY STAR (HPwES) is a jointly managed program of the U.S. Department of Energy (DOE) and the U.S. Environmental Protection Agency (EPA). This program focuses on improving energy efficiency in existing homes via a whole-house approach to assessing and improving a home's energy performance, and helping to protect the environment. As one of HPwES's local sponsors, Austin Energy's HPwES program offers a complete home energy analysis and a list of recommendations for efficiency improvements, along with cost estimates. To determine the benefits of this program, the National Renewable Energy Laboratory (NREL) collaborated with the Pacific Northwest National Laboratory (PNNL) to conduct a statistical analysis using energy consumption data of HPwES homes provided by Austin Energy. This report provides preliminary estimates of average savings per home from the HPwES Loan Program for the period 1998 through 2006. The results from this preliminary analysis suggest that the HPwES program sponsored by Austin Energy had a very significant impact on reducing average cooling electricity for participating households. Overall, average savings were in the range of 25%-35%, and appear to be robust under various criteria for the number of households included in the analysis.

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

    E-Print Network [OSTI]

    Hutchinson, Jennifer Becker

    2012-10-19

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

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

    E-Print Network [OSTI]

    2013-01-01

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

  12. 10.2417/1200402.0003 Ambient intelligence for smart

    E-Print Network [OSTI]

    Rutishauser, Ueli

    10.2417/1200402.0003 Ambient intelligence for smart buildings Ueli Rutishauser, Jonas Trindler, autonomous entity that pursues its own goals (energy consump- tion, security). To fulfill this goal-term knowledge. Motivated by biological systems, we use a two- stage memory process: short-term (STM) and long

  13. IEEE TRANSACTIONS ON SMART GRID, VOL. 1, NO. 2, SEPTEMBER 2010 213 Automated Load Curve Data Cleansing

    E-Print Network [OSTI]

    Wang, Ke

    Cleansing in Power Systems Jiyi Chen, Wenyuan Li, Fellow, IEEE, Adriel Lau, Jiguo Cao, and Ke Wang, Senior quality. I. INTRODUCTION A. Background LOAD CURVE data refers to the electric energy consump- tion is the "heart- beat" of electricity systems and is one of several most important data sets collected

  14. 2 APRIL 2010 VOL 328 SCIENCE www.sciencemag.org50 POLICYFORUM

    E-Print Network [OSTI]

    ­2005 (4) (i.e., discounting gross domes- tic product by incorporating environmental costs) were short protection later" or "pollute first, then clean up" is a root cause of China's low ranking in environmental has aimed to lower energy consump- tion per unit of GDP by 20% between 2006 and 2010 (8) through

  15. Journal of Power Sources 208 (2012) 187192 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    2012-01-01

    to offset energy consump- tion by treatment processes [1]. The use of microbial fuel cells (MFCs) offers one for microbial fuel cell electrodes Li Xiaoa , Jacqueline Damiena , Jiayan Luob , Hee Dong Jangb,c , Jiaxing online xxx Keywords: Microbial fuel cell Electrode modification Crumpled graphene particles Graphene

  16. Paper ID# 900100 U-GRAB: A UTILITY-BASED GRADIENT BROADCASTING ALGORITHM FOR WIRELESS

    E-Print Network [OSTI]

    Jaffrès-Runser, Katia

    Hoboken, NJ 08840, USA F-69621, FRANCE ABSTRACT This paper addresses the problem of reliable transmission-relief scenarios. Hence, emphasis has to be put on the minimization of the global energy consump- tion the broadcasting decision is taken according to a utility-based policy. This policy fa- vors the broadcasting

  17. Contactless Sensing of Appliance State Transitions Through Variations in Electromagnetic Fields

    E-Print Network [OSTI]

    Rowe, Anthony

    as to track the associated energy consumption. Our EMF sensors are able to detect significant power state, we present a contactless electromagnetic field (EMF) sensor that can detect appliance power consump transitions. In this paper, we present an inexpensive contactless electromagnetic field (EMF) event

  18. EFFECTS OF SWIMMING PATH CURVATURE ON THE ENERGETICS OF FISH MOTION

    E-Print Network [OSTI]

    ) R R f w (2) #12;along with the fish. The hydrodynamic drag can be written as (Hoerner 1965) where e studies ofrespiration and energetics in fish measure the aerobic oxygen consumption of the test animals as an indication of energy consump- tion. To obtain the correctio

  19. Architectural Exploration of MPSoC Designs Based on an FPGA Emulation Framework

    E-Print Network [OSTI]

    De Micheli, Giovanni

    Architectural Exploration of MPSoC Designs Based on an FPGA Emulation Framework Pablo G. Del Valle are very complex to design as they must execute multiple complex real-time applications (e.g. video processing, or videogames), while meeting several additional design constraints (e.g. energy consump- tion

  20. Published by the IEEE CS n 1536-1268/11/$26.00 2011 IEEE PERVASIVE computing 63 Works in Progress

    E-Print Network [OSTI]

    Roe, Paul

    for more than 40 percent of energy consump- tion worldwide and are the largest car- bon dioxide (CO2 tem- perature and CO2 levels, or control lights through motion detectors. GreenerBuildings is a new limited to occupant commod- ity installations that regulate aspects of the indoor climate, such as room

  1. Analysis of Potential Energy Saving and CO2 Emission Reduction of Home Appliances and Commercial Equipments in China

    E-Print Network [OSTI]

    Zhou, Nan

    2010-01-01

    2002. Chinese Household Electric Washing Machine EfficiencyElectric storage water heaters Household induction cooktop Computer monitors Copy machines

  2. Economic Development and the Structure of the Demand for Commercial Energy Ruth A. Judson, Richard Schmalensee and Thomas M. Stoker*

    E-Print Network [OSTI]

    effects are assumed, and flexible forms for income effects are employed. There are substantial differences among sectors in the structure of country, time, and income effects. In particular, the household sector's share of aggregate energy consumption tends to fall with income, the share of transportation tends

  3. Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what youSummerEmployment Opportunities Thank you forEnergy

  4. ENERGY

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatementof EnergyQuality'Lean' System09 EMABMay 200810 U.S.

  5. Black Carbon and Kerosene Lighting: An Opportunity for Rapid Action on Climate Change and Clean Energy for Development

    SciTech Connect (OSTI)

    Jacobson, Arne; Bond, Tami C.; Lam, Nicholoas L.; Hultman, Nathan

    2013-04-15

    Replacing inefficient kerosene lighting with electric lighting or other clean alternatives can rapidly achieve development and energy access goals, save money and reduce climate warming. Many of the 250 million households that lack reliable access to electricity rely on inefficient and dangerous simple wick lamps and other kerosene-fueled light sources, using 4 to 25 billion liters of kerosene annually to meet basic lighting needs. Kerosene costs can be a significant household expense and subsidies are expensive. New information on kerosene lamp emissions reveals that their climate impacts are substantial. Eliminating current annual black carbon emissions would provide a climate benefit equivalent to 5 gigatons of carbon dioxide reductions over the next 20 years. Robust and low-cost technologies for supplanting simple wick and other kerosene-fueled lamps exist and are easily distributed and scalable. Improving household lighting offers a low-cost opportunity to improve development, cool the climate and reduce costs.

  6. Energy Efficiency Measures to Incorporate into Remodeling Projects

    SciTech Connect (OSTI)

    Liaukus, C.

    2014-12-01

    Energy improvements in a home are often approached as one concerted effort, beginning with a simple walk-through assessment or more in-depth energy audit and followed by the installation of recommended energy measures. While this approach allows for systems thinking to guide the efforts, comprehensive energy improvements of this nature are undertaken by a relatively small number of the households in our nation compared to more piecemeal remodeling efforts. Even when programs like the Weatherization Assistance Program and Home Performance with ENERGY STAR are considered, homes that have had a comprehensive energy makeover still represent a small fraction of the 111.1 million households. In this report, the U.S Department of Energy Building America Retrofit Alliance research team looks at the improvement of a home's energy performance in an opportunistic way: it examines what can be done to incorporate energy efficiency measures into general remodeling work and home repair projects. This allows for the possibility for people who would not normally pursue energy efficiency but will remodel their kitchen or re-side their home to improve their home's performance at the same time. There are challenges to this approach, not the least of which being that the work will take place over time in potentially many separate projects. The opportunity to improve a home's energy efficiency at one time expands or contracts with the scope of the remodel. As such, guidance on how to do each piece thoughtfully and with consideration for potential future projects, is critical.

  7. Energy Consumption and Renewable Energy Development Potential on Indian Lands

    Reports and Publications (EIA)

    2000-01-01

    Includes information on the electricity use and needs of Indian households and tribes, the comparative electricity rates that Indian households are paying, and the potential for renewable resources development of Indian lands.

  8. Home Performance with Energy Star

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

    and Detached, Apartment in Building with 2 - 4 Units Household Income Above 150% of Poverty Line Housing Units Owned by Someone in the Household 114 88 59 70 Source: 2009...

  9. 2005 Residential Energy Consumption Survey

    Gasoline and Diesel Fuel Update (EIA)

    G (2005) - Household Fuel Oil or Kerosene Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Fuel Oil or Kerosene Usage Form Service Address: If the customer account...

  10. 2010 EPRG Public Opinion Survey: Policy Preferences and Energy Saving Measures

    E-Print Network [OSTI]

    Platchkov, Laura M.; Pollitt, Michael G.; Reiner, David; Shaorshadze, Irina

    suppliers within five years without moving. EPRG WP 1122 20 Table 7. Share of Respondents (%) That Have Switched Energy Suppliers within Last Five Years without Moving to Other Homes, by Category Category Switched... for research I dont want my data recorded Your energy supplier Source: EPRG Survey of UK Households 2010 Figure 7. Would You Agree for Your Meter Data to be Recorded by... EPRG WP 1122 23 Table 8. Shares of Respondents (%) That Would Not Want...

  11. Implicit Discount Rates and the Purchase of Untried, Energy-Saving Durable Goods

    E-Print Network [OSTI]

    Houston, Douglas A.

    1983-09-01

    Implicit Discount Rates and the Purchase of Untried, Energy-Saving Durable Goods DOUGLAS A. HOUSTON* Many consumers appear to rationally calculate the net worth of a household in­ vestment, but a substantial minority may lack the skills... and hesitant when monetary paybacks stretch over many years; they may be unable to choose rationally among investment options. Gately (1980) found that extremely high discount rates were applied by consumers in the purchase of an energy-using durable...

  12. Keeping Household Records. 

    E-Print Network [OSTI]

    McCormack, Linda

    1983-01-01

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

  13. Managing Household Ant Pests 

    E-Print Network [OSTI]

    Drees, Bastiaan M.

    2005-12-02

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

  14. Effects of Home Energy Management Systems on Distribution Utilities and Feeders Under Various Market Structures: Preprint

    SciTech Connect (OSTI)

    Ruth, Mark; Pratt, Annabelle; Lunacek, Monte; Mittal, Saurabh; Wu, Hongyu; Jones, Wesley

    2015-07-17

    The combination of distributed energy resources (DER) and retail tariff structures to provide benefits to both utility consumers and the utilities is poorly understood. To improve understanding, an Integrated Energy System Model (IESM) is being developed to simulate the physical and economic aspects of DER technologies, the buildings where they reside, and feeders servicing them. The IESM was used to simulate 20 houses with home energy management systems on a single feeder under a time of use tariff to estimate economic and physical impacts on both the households and the distribution utilities. HEMS reduce consumers’ electric bills by precooling houses in the hours before peak electricity pricing. Household savings are greater than the reduction utility net revenue indicating that HEMS can provide a societal benefit providing tariffs are structured so that utilities remain solvent. Utilization of HEMS reduce peak loads during high price hours but shifts it to hours with off-peak and shoulder prices and resulting in a higher peak load.

  15. Home Energy Displays: Consumer Adoption and Response

    SciTech Connect (OSTI)

    LaMarche, J.; Cheney, K.; Akers, C.; Roth, K.; Sachs, O.

    2012-12-01

    The focus of this project was to investigate the factors influencing consumer adoption of Home Energy Displays (HEDs) and to evaluate electricity consumption in households with basic HEDs versus enhanced feedback methods - web portals or alerts. We hypothesized that providing flexible and relatable information to users, in addition to a basic HED, would make feedback more effective and achieve persistent energy savings. In Phase I, we conducted three user research studies and found preferences for aesthetically pleasing, easy to understand feedback that is accessible through multiple media and offered free of charge. The deployment of HEDs in 150 households planned for Phase II encountered major recruitment and HED field deployment problems. First, after extensive outreach campaigns to apartment complexes with 760 units, only 8% of building's tenants elected to receive a free HED in their homes as part of the field study. Second, the HED used, a leading market model, had a spectrum of problems, including gateway miscommunications, failure to post to a data-hosting third party, and display malfunctions. In light of these challenges, we are pursuing a modified study investigating the energy savings of a web portal versus alert-based energy feedback instead of a physical HED.

  16. Residential Electricity Demand in China -- Can Efficiency Reverse the Growth?

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

    Urban Households Clothes Washer Color TV Refrigerator AC Fans per 100 households per 100 households Unit Energy Consumption Baseline and Efficiency

  17. Energy Systems and Population Health

    SciTech Connect (OSTI)

    Ezzati, Majid; Bailis, Rob; Kammen, Daniel M.; Holloway, Tracey; Price, Lynn; Cifuentes, Luis A.; Barnes, Brendon; Chaurey, Akanksha; Dhanapala, Kiran N.

    2004-04-12

    It is well-documented that energy and energy systems have a central role in social and economic development and human welfare at all scales, from household and community to regional and national (41). Among its various welfare effects, energy is closely linked with people s health. Some of the effects of energy on health and welfare are direct. With abundant energy, more food or more frequent meals can be prepared; food can be refrigerated, increasing the types of food items that are consumed and reducing food contamination; water pumps can provide more water and eliminate the need for water storage leading to contamination or increased exposure to disease vectors such as mosquitoes or snails; water can be disinfected by boiling or using other technologies such as radiation. Other effects of energy on public health are mediated through more proximal determinants of health and disease. Abundant energy can lead to increased irrigation, agricultural productivity, and access to food and nutrition; access to energy can also increase small-scale income generation such as processing of agricultural commodities (e.g., producing refined oil from oil seeds, roasting coffee, drying and preserving fruits and meats) and production of crafts; ability to control lighting and heating allows education or economic activities to be shielded from daily or seasonal environmental constraints such as light, temperature, rainfall, or wind; time and other economic resources spent on collecting and/or transporting fuels can be used for other household needs if access to energy is facilitated; energy availability for transportation increases access to health and education facilities and allow increased economic activity by facilitating the transportation of goods and services to and from markets; energy for telecommunication technology (radio, television, telephone, or internet) provides increased access to information useful for health, education, or economic purposes; provision of energy to rural and urban health facilities allows increased delivery and coverage of 3 various health services and interventions such as tests and treatments, better storage of medicine and vaccines, disinfection of medical equipment by boiling or radiation, and more frequent and efficient health system encounters through mobile clinics or longer working hours; and so on. In fact, while the dominant view of development-energy-health linkages has been that improvements in energy and health are outcomes of the socioeconomic development process (e.g., the ''energy ladder'' framework discussed below), it has even been argued that access to higher quality energy sources and technologies can initiate a chain of demographic, health, and development outcomes by changing the household structure and socioeconomic relationships. For example, in addition to increased opportunities for food and income production, reduced infant mortality as a result of transition to cleaner fuels or increased coverage of vaccination with availability of refrigerators in rural clinics may initiate a process of ''demographic transition'' to low-mortality and low-fertility populations (14). Such a transition has historically been followed with further improvements in maternal and child health and increased female participation in the labor markets and other economic activities.

  18. Energy policy: Comparative effects on minority population groups

    SciTech Connect (OSTI)

    Poyer, D.A.; Henderson, L.

    1995-06-01

    For a number of years, analyses of minority household energy demand have been supported by the United States Department of Energy (DOE), Office of Economic Impact and Diversity (formerly the Office of Minority Economic Impact). The intention of these analyses has been to characterize patterns of energy demand by various demographic, regional and socioeconomic groups and to develop analytical tools to assess the distributive impact of energy prices and policy on these groups. The model supports strategic objectives outlined by the Department of Energy to explicitly recognize and promote equity in state public utility commission decisions and to assess the potential impact of federal and state energy policy on demographically diverse groups as reported in the Department`s Annual Energy Outlook and the upcoming National Energy Policy Plan. The legislation mandating the Office of Economic Impact and Diversity had been premised on the assumption that patterns of energy demand for minority households are different from the population as a whole. Determining the validity of this premise and its potential economic impact on different population groups has been a major objective of these analyses. Consequently, the recripriocal impacts of energy policy on demographic groups and energy consumption and expenditure dynamics on policy formulation and strategy is a central objective of these studies. Residential energy demand research has been substantial in the past twenty years. Insightful and useful research has been done in this area. However, none of this research has addressed the potential differences in the residential energy demand structure among various population groups. Recent work does compare energy and electricity demand elasticities for non-Latino Whites, with the demand elasticities for Latinos and Blacks. This research is particularly important for examination of questions related to the economic welfare implications of national energy policy.

  19. Weatherization Partnerships Project, Grant No. DE FG 0299EE27594, October 1, 1999 - December 31, 2000. Final Technical Report and FY 1999 version of 'Lessons learned the long way: Integrating utility, energy efficiency tasks with weatherization'

    SciTech Connect (OSTI)

    Power, Meg

    2002-11-01

    Includes reports on (1) the results of focus groups on managing utility residential efficiency [attitudes?] for low-income housing, and (2) low-income household energy consumption and expenditures patterns and weatherization opportunities 1987-1997, intensive analysis of R.E.C.S. data.

  20. Transportation Energy Data Book, Edition 18

    SciTech Connect (OSTI)

    Davis, Stacy C.

    1998-09-01

    The Transportation Energy Data Book: Edition 18 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Transportation Technologies in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. This edition of the Data Book has 11 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 - energy Chapter 3 - emissions; Chapter 4 - transportation and the economy; Chapter 5 - highway vehicles; Chapter 6 - Light vehicles; Chapter 7 - heavy vehicles; Chapter 8 - alternative fuel vehicles; Chapter 9 - fleet vehicles; Chapter 10 - household vehicles; and Chapter 11 - nonhighway modes. The sources used represent the latest available data.