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Sample records for unavailable median household

  1. Westinghouse Reactor Protection System Unavailability, 1984--1995

    SciTech Connect (OSTI)

    Eide, Steven Arvid; Calley, Michael Brennan; Gentillon, Cynthia Ann; Wierman, Thomas Edward; Rasmuson, D.; Marksberry, D.

    1999-08-01

    An analysis was performed of the safety-related performance of the reactor protection system (RPS) at U. S. Westinghouse commercial reactors during the period 1984 through 1995. RPS operational data were collected from the Nuclear Plant Reliability Data System and Licensee Event Reports. A risk-based analysis was performed on the data to estimate the observed unavailability of the RPS, based on a fault tree model of the system. Results were compared with existing unavailability estimates from Individual Plant Examinations and other reports.

  2. Westinghouse Reactor Protection System Unavailability, 1984-1995

    SciTech Connect (OSTI)

    C. D. Gentillon; D. Marksberry (USNRC); D. Rasmuson; M. B. Calley; S. A. Eide; T. Wierman (INEEL)

    1999-08-01

    An analysis was performed of the safety-related performance of the reactor protection system (RPS) at U.S. Westinghouse commercial reactors during the period 1984 through 1995. RPS operational data were collected from the Nuclear Plant Reliability Data System and Licensee Event Reports. A risk-based analysis was performed on the data to estimate the observed unavailability of the RPS, based on a fault tree model of the system. Results were compared with existing unavailability estimates from Individual Plant Examinations and other reports.

  3. Quantifying the Impact of Unavailability in Cyber-Physical Environments

    SciTech Connect (OSTI)

    Aissa, Anis Ben; Abercrombie, Robert K; Sheldon, Federick T.; Mili, Ali

    2014-01-01

    The Supervisory Control and Data Acquisition (SCADA) system discussed in this work manages a distributed control network for the Tunisian Electric & Gas Utility. The network is dispersed over a large geographic area that monitors and controls the flow of electricity/gas from both remote and centralized locations. The availability of the SCADA system in this context is critical to ensuring the uninterrupted delivery of energy, including safety, security, continuity of operations and revenue. Such SCADA systems are the backbone of national critical cyber-physical infrastructures. Herein, we propose adapting the Mean Failure Cost (MFC) metric for quantifying the cost of unavailability. This new metric combines the classic availability formulation with MFC. The resulting metric, so-called Econometric Availability (EA), offers a computational basis to evaluate a system in terms of the gain/loss ($/hour of operation) that affects each stakeholder due to unavailability.

  4. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  5. 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. Integer-Sided Triangles with integral medians

    E-Print Network [OSTI]

    Konstantine Zelator

    2013-08-15

    In this work, we prove that any triangle whose three sidelengths are integers, cannot have all of its three medians also having integral lengths.This is done in Proposition 2.In Section 5, we give precise(i.e.necessary and sufficient)conditions for a nonisosceles, integer-sided triangle to have two integral medians.In Section 3, we offer parametric descriptions of three special families of integer-sided triangles.The first family consists of all Pythagorean triangles whose medians to their hypotenuses is integral. The other two medians (to the two legs)of any Pythagorean triangle are irrational, a proof of this fact can be found in reference 4 of this paper.The second family consists of all integer-sided isosceles triangles, whose only integral median is the one contained between the two sides of equal length. Finally, the third family consists of all isosceles integer-sided triangles with the two medians of equal length;having integer length.

  9. 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,...

  10. Theoretical advances on multichromosomal median computation

    E-Print Network [OSTI]

    Chauve, Cedric

    consider the classical problem of com- puting an optimal median for three multichromosomal genomes G1, G2, G3. More precisely, we consider the case where ­ G1, G2, G3 are mixed genomes as they can have (possibly) both linear and circular chromosomes; ­ pairs G, G of genomes on n genes are compared using

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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 ...

  20. 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...

  1. 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...

  2. Reactive Stochastic Local Search Algorithms for the Genomic Median Problem

    E-Print Network [OSTI]

    Wolf, Christian

    Reactive Stochastic Local Search Algorithms for the Genomic Median Problem Renaud Lenne1 5558, Universit´e de Lyon 1, France eric.tannier@inria.fr Abstract. The genomic median problem of the common ancestor to multiple living species. It is formulated as the search for a genome that minimizes

  3. Introduction The median problem for the reversal distance in

    E-Print Network [OSTI]

    Lonardi, Stefano

    genomes E. Ohlebusch, M.I. Abouelhoda, K. Hockel, J. Stallkamp University of Ulm, Germany CPM 2005 The median problem for the reversal distance in circular bacterial genomes #12;Introduction Methods Conclusion General Problem Distances Specific Problem Median Problem Given 3 genomes G1, G2, and G3, find

  4. 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

  5. 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...

  6. Placement of Traffic Barriers on Roadside and Median Slopes

    E-Print Network [OSTI]

    Ferdous, Md Rubiat

    2011-08-08

    terrains are investigated using numerical simulations. A procedure is developed that provide guidance for their placement on roadside and median slopes. The research approach consists of nonlinear finite element analyses and multi-rigid-body dynamic...

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

    Open Energy Info (EERE)

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

  8. 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

  9. 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.

  10. 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...

  11. 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...

  12. 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....

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. appl_household2001.pdf

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

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

  19. char_household2001.pdf

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

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

  20. appl_household2001.pdf

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

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

  1. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  2. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  3. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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

  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 The03a. Household4a. Household

  17. Property:EstimatedCostMedianUSD | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigation Jump to:EstimatedCostMedianUSD

  18. Property:EstimatedTimeMedian | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigationEstimatedTimeMedian Jump to:

  19. 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 ...

  20. 503 Service Temporarily Unavailable

    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 of rare Kaonforsupernovae modelsearch this siteSearch Go! USU.S.Temporarily

  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 The0 11.07125Household Tables

  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 The0 11.07125Household

  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 The0 11.07125Household1a.

  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 The0 11.07125Household1a.2a.

  5. 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.

  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. Household

  7. 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.

  8. char_household2001.pdf

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

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

  9. char_household2001.pdf

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

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

  10. char_household2001.pdf

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

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

  11. The algebra of metric betweenness II: geometry and equational characterization of weakly median graphs

    E-Print Network [OSTI]

    Chepoi, Victor

    . This demonstrates that the median algebras featured by Avann and Sholander half a century ago and, more generally

  12. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    of Americanhouseholdcarbonfootprint. Ecologicaland limitations)ofcarbonfootprintestimatestowardoftheartincarbonfootprintanalysesforCalifornia,

  13. 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...

  14. Local Stability of the Median LMS Filter W.A. Sethares // J.A. Bucklew

    E-Print Network [OSTI]

    Bucklew, James Antonio

    Local Stability of the Median LMS Filter W.A. Sethares // J.A. Bucklew November 17, 2000 1 #12; Abstract Local stability properties of the recently proposed median LMS adaptive filter are investigated. This will help delineate those applications for which the median LMS is an appropriate adaptive al gorithm

  15. Salt-and-Pepper Noise Removal by Median-type Noise Detectors and

    E-Print Network [OSTI]

    Chan, Raymond

    1 Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving Regularization for removing salt-and-pepper impulse noise. In the first phase, an adaptive median filter is used to identify remove salt-and-pepper-noise with noise level as high as 90%. Index Terms Impulse noise, adaptive median

  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. " 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"...

  18. 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...

  19. 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.

  20. ON THE p-MEDIAN POLYTOPE OF A SPECIAL CLASS OF ...

    E-Print Network [OSTI]

    p-median and the uncapacitated facility location polytopes, the odd cycle ... description of the fractional extreme points of the linear relaxation for the p-

  1. 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, ...

  2. 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.

  3. Median regression and the missing information principle Ian W. McKeague

    E-Print Network [OSTI]

    McKeague, Ian

    Median regression and the missing information principle Ian W. McKeague Department of Statistics regression analysis has robustness properties which make it an attractive alternative to regression based of the median regression model, leading to a new estimator for the regression parameters. Our approach adapts

  4. An Efficient Probabilistic Population-Based Descent for the Median Genome Problem

    E-Print Network [OSTI]

    Goëffon, Adrien

    An Efficient Probabilistic Population-Based Descent for the Median Genome Problem Adrien Goëffon@labri.fr ABSTRACT We present a novel population-based local search algorithm for the median genome problem of ancestral genome reconstruc- tion compared to existing methods, making it possible to tackle problems where

  5. Correlation between Median Household Income and LEED Sustainable Site Criteria for Public Transportation Access and a Regression Model Predicting Appraised Unit Value of Unimproved Parcels in Houston, Texas

    E-Print Network [OSTI]

    Ji, Qundi

    2010-07-14

    The Leadership in Energy and Environmental Design (LEED) Green Building Rating System provides third-party verification for environmentally sustainable construction. LEED certified buildings often provide healthier work ...

  6. 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...

  7. Cost-effectiveness of freeway median high occupancy vehicle (HOV) facility conversion to rail guideway transit

    E-Print Network [OSTI]

    Best, Matthew Evans

    1996-01-01

    Many freeways in the United States contain median high occupancy vehicle (HOV) facilities. These facilities have been envisioned by some as reserved space for future rail guideway transit. This thesis examines the cost-effectiveness of converting a...

  8. Development of guidelines for the aesthetic surface treatment of safety-shaped median barriers

    E-Print Network [OSTI]

    Ness, Jacob Raymond

    2004-11-15

    treatment of safety-shaped median barriers. Numerical simulation was utilized to develop these guidelines. This was done by first validating the vehicle model that was used in this research, which was the National Crash Analysis Center (NCAC) 2000P...

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

    Broader source: Energy.gov [DOE]

    The median age of cars and trucks in the U.S. continued to grow in 2008. Due to the economic climate and high gasoline prices that summer, consumers held onto their vehicles longer and delayed new...

  10. 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 ...

  11. 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

  12. 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

  13. 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

  14. 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.

  15. European Conference on Objectoriented Programming (ECOOP) h5index: 28 h5median: 45

    E-Print Network [OSTI]

    Xie, Tao

    European Conference on Objectoriented Programming (ECOOP) h5index: 28 h5median: 45 #17 Software Saftoiu, S Krishnamurthi Proceedings of the 24th European conference on Objectoriented programming ... 109 Vafeiadis Proceedings of the 24th European conference on Objectoriented programming ... 92 2010 JCo

  16. Effects of muscle fiber type and size on EMG median frequency and conduction velocity

    E-Print Network [OSTI]

    De Luca, Carlo J.

    an in vitro method for comparing surface-detected electromyographic median fre- quency (MF) and conduction-sectional area (CSA). Electromyographic sig- nals were recorded during electrically elicited tetanic contrac a muscular contraction are related to muscle fiber type com- position and muscle fiber CSA. electromyographic

  17. EFFICIENT SERIAL AND PARALLEL ALGORITHMS FOR MEDIAN FILTERING + Sanjay Ranka* and Sartaj Sahni

    E-Print Network [OSTI]

    Sahni, Sartaj K.

    on an N?N image matrix I [1..N, 1..N ] using a W?W window where W = 2w + 1 is an odd number. The result, w, N) and nbhd (b, j, w, N)} where nbhd (p, q, r, s) = ¡ ¢ £ false otherwise true (p - q) mod s r or (q - p) mod s r A straightforward serial computation of MEDIAN2D takes O (N2 W2 ) time

  18. 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: 158166. Elliot Martin and Susan Shaheen.

  19. 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.

  20. 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...

  1. 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)

  2. 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

  3. 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...

  4. 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...

  5. 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

  6. 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

  7. 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 ...

  8. 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

  9. 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...

  10. 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

  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

    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

  12. 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

  13. 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, Peten, to agri- cultural settlement (Bilsborrow and Carr 2001). Since the southern half

  14. 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

  15. 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)

  16. 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...

  17. 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.

  18. 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.

  19. 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.

  20. IEEE/ACM International Conference on Automated Software Engineering (ASE) h5-index: 34 h5-median: 50

    E-Print Network [OSTI]

    Xie, Tao

    IEEE/ACM International Conference on Automated Software Engineering (ASE) h5-index: 34 h5-median source code on the web S Thummalapenta, T Xie Proceedings of the twenty-second IEEE/ACM international, Z Hu, H Zhao, M Takeichi, H Mei Proceedings of the twenty-second IEEE/ACM international conference

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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 ...

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

    Broader source: Energy.gov [DOE]

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

  7. Fact #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...

  8. 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...

  9. 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

  10. 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

  11. 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 ...

  12. 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

  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. 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

  16. Epinephrine for Anaphylaxis: Underutilized and Unavailable

    E-Print Network [OSTI]

    Dudley, Larissa S.; Mansour, Madonna I.; Merlin, Mark A.

    2015-01-01

    commonly triggered by foods, medications, and insect stings.food reactions averaged 25-30 minutes, 10-15 minutes for insectfoods that cause respiratory symptoms, while anaphylaxis in the elderly manifests with cardiovascular symptoms, most often triggered by medications or insect

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. "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...

  4. "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...

  5. 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

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

    Reports and Publications (EIA)

    2004-01-01

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

  7. 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.

  8. 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

  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. 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

  12. 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

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

    E-Print Network [OSTI]

    Langerhans, Brian

    impact Household size IPHoG Population 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

  14. 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

  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. 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

  17. 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

  18. 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

  19. 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

  20. 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 households full income.

  1. 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.

  2. 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 ...

  3. 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...

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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 ...

  9. 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

  10. 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 ...

  11. 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

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

    Broader source: Energy.gov [DOE]

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

  13. 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...

  14. 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...

  15. 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...

  16. 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, ...

  17. 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,

  18. 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 ...

  19. 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

  20. 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 ...

  1. 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, ...

  2. 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...

  3. 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)

  4. INTEGR. COMP. BIOL., 42:10091017 (2002) Experimental Hydrodynamics and Evolution: Function of Median Fins in Ray-finned Fishes1

    E-Print Network [OSTI]

    Lauder, George V.

    2002-01-01

    . But the orientations and magnitudes of these forces, the mechanisms by which they are generated, and how fish modulate reveal that lateral forces are high relative to thrust force, and that mechanical performance of median propulsor may also enhance stability and maneuverability. Analysis of hydrodynamic function of the soft

  5. 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

  6. 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

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

    SciTech Connect (OSTI)

    Figueroa, M.J.; Sathaye, J.

    1993-08-01

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

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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 identied as major factors in tropical defores of cattle ranching in Brazil has been particularly notable. Spurred by government incentive programs in Para

  18. 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): 16801686 (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

  19. 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

  20. 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.

  1. 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...

  2. 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.

  3. Computing median and antimedian sets in median graphs Kannan Balakrishnan

    E-Print Network [OSTI]

    Klavzar, Sandi

    , Slovenia bostjan.bresar@uni-mb.si Manoj Changat Department of Futures Studies University of Kerala. Subhamathi Department of Futures Studies University of Kerala, Trivandrum-695034, India ajithars

  4. Computing median and antimedian sets in median graphs # Kannan Balakrishnan

    E-Print Network [OSTI]

    Klavzar, Sandi

    , Slovenia bostjan.bresar@uni­mb.si Manoj Changat Department of Futures Studies University of Kerala.kovse@gmail.com Ajitha R. Subhamathi Department of Futures Studies University of Kerala, Trivandrum­695034, India

  5. 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

  6. Unavailable Data Sources in Mediator Based Applications Philippe Bonnet

    E-Print Network [OSTI]

    Tomasic, Anthony

    information system a mediator accesses data sources located in the di erent services to provide doctors a network of public and private institutions a mediator accesses the data sources located in each in the application. New data sources are needed due to the evolution of the hospital information system: services

  7. 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...

  8. 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 ...

  9. 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

  10. 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.

  11. 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...

  12. 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.

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

    SciTech Connect (OSTI)

    Train, K.; Atherton, T.

    1994-11-01

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

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

    SciTech Connect (OSTI)

    Dolealov, Markta; Beneov, Libue; Zvodsk, Anita

    2013-09-15

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

  15. 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.

  16. 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.

  17. 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.

  18. 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...

  19. 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-

  20. 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

  1. 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

  2. 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.

  3. 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.

  4. 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.

  5. 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 Nslund Keywords: Water availability

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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.

  12. 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.

  13. 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.

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

    SciTech Connect (OSTI)

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

    2012-01-01

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

  15. 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).

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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 ...

  1. 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

  2. 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 ...

  3. 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 ...

  4. 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.

  5. 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

  6. 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

  7. 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.

  8. 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

  9. ORF name Gene name Exp1 Exp2 Exp3 Exp4 Exp5 Exp6 Exp7 Median 30C Note 30C Exp8 Exp9 Exp10 Exp11 Exp12 Exp13 Median 14C Note 14C YOL052C-A DDR2 11.7 4.33 17.8 11.48 2.91 2.99 10.34 10.33870994 GOOD 4.687 3.75 5.36 4.359 2.828 3.09 4.05361036 GOOD

    E-Print Network [OSTI]

    Winston, Fred

    Exp12 Exp13 Median 14C Note 14C YOL052C-A DDR2 11.7 4.33 17.8 11.48 2.91 2.99 10.34 10.33870994 GOOD

  10. 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

  11. Electronic Prehospital Records are Often Unavailable for Emergency Department Medical Decision Making

    E-Print Network [OSTI]

    Bledsoe, Bryan E; Wasden, Chad; Johnson, Larry

    2013-01-01

    of Emergency Physicians (ACEP) email lists. As a result,of Emergency Physicians (ACEP). The study was limited to

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

    E-Print Network [OSTI]

    Hutchinson, Jennifer Becker

    2012-10-19

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

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

    E-Print Network [OSTI]

    2013-01-01

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

  14. 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...

  15. 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...

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

    E-Print Network [OSTI]

    Thomas, David D.

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

  17. Section 5: Expected Value; Percentiles, Median, and Mode

    E-Print Network [OSTI]

    2014-09-27

    Sep 30, 2014 ... Smith finds the carnival game over-under-seven irresistible. The game involves the random toss of two fair dice. If a player bets 1 on over...

  18. The Online Median Problem Ramgopal R. Mettu C. Greg Plaxton

    E-Print Network [OSTI]

    Mettu, Ramgopal

    @cs.utexas.edu. The second author is presently on leave at Akamai Techologies, Inc., Cambridge, MA 02139. #12; 1 Introduction

  19. The Online Median Problem Ramgopal R. Mettu C. Greg Plaxton

    E-Print Network [OSTI]

    Mettu, Ramgopal

    on leave at Akamai Techologies, Inc., Cambridge, MA 02139. #12;1 Introduction Suppose we wish to open a new

  20. Stable roommates matchings, mirror posets, median graphs, and the local/global median phenomenon in stable matchings

    E-Print Network [OSTI]

    Cheng, Christine

    rise to mirror posets and vice versa, and mirror posets give rise to SR stable matchings and vice versa to as the bipartite version of SR, is the stable marriage problem (SM). There are n men and n women each of whom ranks-0830678. 1 #12;preference list, append an arbitrary ordering of the other men; do the same for the women

  1. Stable roommates matchings, mirror posets, median graphs, and the local/global median phenomenon in stable matchings

    E-Print Network [OSTI]

    Cheng, Christine

    rise to mirror posets and vice versa, and mirror posets give rise to SR stable matchings and vice versa problem (SM). There are n men and n women each of whom ranks participants from the opposite sex only the same for the women. It is straightforward to check that both instances have exactly the same stable

  2. PowerPoint Presentation

    Office of Environmental Management (EM)

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

  3. 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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Setting Your Household in Order.

    E-Print Network [OSTI]

    Chenoweth, Lillian

    1982-01-01

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

  6. Energy Spending and Vulnerable Households

    E-Print Network [OSTI]

    Jamasb, Tooraj; Meier, Helena

    2011-01-26

    ofgasandelectricityprices.Figure1showstheaverageyearlygas andelectricitypricedevelopmentsfortheUKduringtheperiodofourstudy.The dataisdrawnfromtheIEA(1997)andIEA(2008).3Bothpriceshavedeveloped rather similarly, and were below their 1991... time. 3 The IEA data is also published by the Department of Energy and Climate Change (DECC). EPRGNo 6 reduction in electricity...

  7. spaceheat_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  8. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  9. ac_household2001.pdf

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

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

  10. Juvenile Responses to Household Ecology

    E-Print Network [OSTI]

    Sugiyama, Lawrence S.

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

  11. appl_household2001.pdf

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

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

  12. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  13. spaceheat_household2001.pdf

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

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

  14. spaceheat_household2001.pdf

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

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

  15. spaceheat_household2001.pdf

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

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

  16. spaceheat_household2001.pdf

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

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

  17. ac_household2001.pdf

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

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

  18. ac_household2001.pdf

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

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

  19. spaceheat_household2001.pdf

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

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

  20. spaceheat_household2001.pdf

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

    Natural Gas ... 59.1 32.3 10.0 13.1 3.6 6.0 Central Warm-Air Furnace ... 44.8 22.7 7.3 11.9 3.0 6.8 For One...

  1. spaceheat_household2001.pdf

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

    Natural Gas ... 59.1 15.7 6.8 2.4 6.5 7.8 Central Warm-Air Furnace ... 44.8 12.7 5.9 1.9 4.9 9.2 For One...

  2. spaceheat_household2001.pdf

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

    16.4 6.8 4.5 Natural Gas ... 59.1 44.3 5.6 7.1 2.2 6.5 Central Warm-Air Furnace ... 44.8 36.2 2.9 3.6 2.1 8.2 For One Housing Unit...

  3. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  4. 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

  5. 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

  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 Transportation1.

  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)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic Feet)6 The71999

  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)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic Feet)6 The71999C

  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

  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

  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. Vehicle Miles

  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. Vehicle Miles

  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

  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. VehicleDetailed

  16. 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

  17. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir Conditioning

  18. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir

  19. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a. Air

  20. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a. Air2a. Air

  1. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a. Air2a.

  2. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a. Air2a.2a.

  3. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.

  4. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a. Air

  5. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a. Air5a.

  6. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a.

  7. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a.2001 Air

  8. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a.2001

  9. ac_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largestnamedGroup! !aboesenb AmesAir1a.4a.20019a.

  10. appl_household2001.pdf

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

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

  11. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest Census

  12. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest

  13. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest2a.

  14. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest2a.a.

  15. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by Midwest2a.a.2a.

  16. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by

  17. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a. Appliances

  18. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.

  19. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.6a.

  20. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.6a.2001

  1. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.6a.20018a.

  2. appl_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifiesValidation of MFRSR0a. Appliances by4a.6a.20018a.9a.

  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 The0

  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.

  5. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome Office

  6. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome Office0a.

  7. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome

  8. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a. Home

  9. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a. Homea.

  10. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a.

  11. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a.3a.

  12. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of CollaborativeHome2a.3a.2001

  13. homeoffice_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years of

  14. housingunit_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26th AnnualHistory Over 100 Years ofHousing Unit Tables (Million

  15. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R G Y0a.

  16. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R G

  17. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R G2a.

  18. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R G2a.a.

  19. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R

  20. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R3a.

  1. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E R3a.4a.

  2. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E

  3. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E6a. Space

  4. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E6a.

  5. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E6a.8a.

  6. spaceheat_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r m m mDiurnalCarbonU C L E A R E N E6a.8a.9a.

  7. usage_household2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLosThe 26thI D- 6 0 4 2 r mReducing PAD District7Usage Indicators

  8. HYBRID ELECTRIC VEHICLE OWNERSHIP AND FUEL ECONOMY ACROSS TEXAS: AN APPLICATION OF SPATIAL MODELS

    E-Print Network [OSTI]

    Kockelman, Kara M.

    , gender, race, education, household size, and income. To allow for spatial autocorrelation (across census to rise with household incomes, resident education levels, and the share of male residents, and fall; and this variable was found to depend most on educational attainment levels, median age, income, and household size

  9. The Robert Wood Johnson Health & Society Scholars Program at Columbia University is a joint initiative of the Institute for Social

    E-Print Network [OSTI]

    Ochsner, Kevin

    & Central Park West, Manhattan) the median household income is $77,450, and the area is 81% White, 3% Black household income of $25,929, and is 1% White, 88% Black. The major- ity of the C train's stops that active coping is better than passive coping, which, in this instance, is kind of depressing because

  10. Investigation of an empirical methodology for linking value of time with census tract median income

    E-Print Network [OSTI]

    Stockton, William Radney

    2009-05-15

    This research examines a new methodology for prospectively estimating the willingness of travelers to use a toll road by combining travel time saved with the income of the prospective customer base. The purpose of the ...

  11. Most Frequently Selected Fields, With Median Salaries http://www.stat.cornell.edu/mps/

    E-Print Network [OSTI]

    Keinan, Alon

    statistical programming and software, databases, high performance computing as it relates to statistics

  12. Most Frequently Selected Fields, With Median Salaries http://stat.cornell.edu/academics/mps

    E-Print Network [OSTI]

    Keinan, Alon

    statistical programming and software, databases, high performance computing as it relates to statistics

  13. Distribution of the daily F0F sub 2 about the monthly median

    SciTech Connect (OSTI)

    Sowers, M.W.; PoKempner, M.

    1990-05-01

    Data from 21 ionospheric sounding stations in the northern and southern hemispheres were used to characterize the day-to-day variation in the critical frequency of the F2 layer of the ionosphere. Variability in the critical frequencies are analyzed monthly and diurnally for quiet magnetic conditions during both low and high solar periods. In addition, variations in the F2 layer critical frequency are presented for active magnetic conditions during equinox periods. Tables of variabilities for each ten degree increment in magnetic latitude are also provided in the report. The dependence of variations in the critical frequency with the solar cycle index IG12 is also discussed.

  14. South Florida Sun-Sentinel.com Census shows another decline in median income

    E-Print Network [OSTI]

    Fernandez, Eduardo

    's official poverty rate was 15 percent, up a percent from a year earlier when the recession officially ended. That means almost 3 million more Americans were living in poverty in 2010, the Census Bureau reported. It was the fourth annual increase and the largest number of poor people in the 52 years the poverty estimates have

  15. Reliable p-median facility location problem: two-stage robust models ...

    E-Print Network [OSTI]

    2012-12-18

    constraint Generation Method. Technical Report. submitted. Zhao, L., Zeng, B., 2010. Robust Unit Commitment Problem with Demand Response and Wind.

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

    DOE Patents [OSTI]

    Paglieroni, David W; Beer, N Reginald

    2014-10-07

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

  17. Somatosensory System Deficits in Schizophrenia Revealed by MEG during a Median-Nerve Oddball Task

    E-Print Network [OSTI]

    2010-01-01

    P, Clarke JM, Heit G, Marinkovic K, Devaux B, Vignal JP,94:229250 Halgren E, Marinkovic K, Chauvel P (1998)

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

    SciTech Connect (OSTI)

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

    2013-06-15

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

  19. NMDOT Application for Permit to Construct an Access or Median Opening on

    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, Maryland: EnergyInformationOliver,Minnesota:EnergyNARI| Open Energy26.2| OpenPublic

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7CubicthroughtheSeptember 24,4,630.22Primary Consumption6.9. Energy.

  1. The making of a household name

    E-Print Network [OSTI]

    Mucina, Ladislav

    for Journalism. NETWORKTENSUPPLIED #12;A mature approach Australia's ageing population and looming labour their broad use and varying radiation dosages might be putting patients at unnecessary risk. 16 A village maps

  2. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    helpCaliforniaenergyandpolicyanalystsbetterassessendusedetail allowsenergyandpolicyanalyststobetterwhichwouldallowenergyandpolicyanalyststobetter

  3. Model development for household waste prevention behaviour

    SciTech Connect (OSTI)

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

    2012-12-15

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

  4. 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

  5. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    IndustrialElectricMotorSystemsMarketOpportunities Assessment. TechnicalReportPreparedfortheUnitedStatesDepartmentofEnergy,

  6. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    IPST(2006). PulpandPaperIndustry. EnergyBandwidthchemicals,andpulp andpaperindustrieswerederivedfromPulpandPaper,ChemicalManufacturing,andPetroleumRefiningIndustries.

  7. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    21 Estimation of Home Energy and Supply Chain Carbontheannualhomeenergyandsupplychaincarbonfootprintsaveragedirecthomeenergyandsupplychaincarbon

  8. 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

  9. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    2006). PulpandPaperIndustry. EnergyBandwidthStudy. chemicals,andpulp andpaperindustrieswerederivedfromPaper,ChemicalManufacturing,andPetroleumRefiningIndustries.

  10. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    residentialenergyefficiencymeasuresavingsestimates. savingsestimatesassociatedwithenergyefficiencymeasuressavingsestimatesforeachmeasurereflectbestavailableinformationonthe remainingefficiency

  11. 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...

  12. Do Disaster Expectations Explain Household Portfolios?

    E-Print Network [OSTI]

    Alan, Sule

    in Appendix B. 12 = f#22; ; (#27;2 ); #22;#14;; (#27;2#14;); p; #30;; #25;; #20;g where #0; #22; #1; mean log-coe cient of relative risk aversion (#27;2 ) variance of log-coe cient of relative risk aversion, (set to zero if #27; 2 #14; > 0) (#22;#14;) mean... aversion) of standard normal variables8 in addition to actual realized stock returns from 1983 to 2004. As discussed in the data section, the lack of panel data on consumption, wealth 8If lnx #24; N(a; b), we can simulate draws from a lognormal by taking x...

  13. Household Conveniences and How to Make Them.

    E-Print Network [OSTI]

    Hanson, G. E.

    1915-01-01

    - ture; B. Youngblood, M. S., Director of Texas Experiment Sta- tions; G. S. Fraps, Ph. D., Chemist, Experiment Station, State Chemist; Ike S. Ash burn, Jr., Publicity Agent, Secretary. EXTENSION S T A F F : W. F. Procter, State Agent, Farm..., the trunk or box should be used. B. Insulation. It is essential that the insulating material be a poor conductor of heat and it. is desirable that it be a non-inflammable material. Wood ashes, in which there is some charcoal to prevent packing, is one...

  14. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    Input?OutputLifeCycleAssessment(EIO? LCA)model. 2006). EnvironmentalLifeCycleAssessment ofGoodsandEconomicInput?OutputLife?CycleAssessment Greenhousegas

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Elmoro folio, Colorado

    E-Print Network [OSTI]

    Hills, R. C. (Richard Charles), 1848-1923.

    1899-01-01

    -1. Distribution of Nonmetropolitan Counties 4-2. Variables in the GLS Model of Income Inequality 4-3. Summary of Dependent and Independent Variables. 5-1. Median Household Income and Gini Coefficient by Nonmetropolitan... Counties: 1990 and 2000. 5-2. Mean Household Income of Tourism and Recreation, Manufacturing, and Farming Dependent Communities... 5-3. Unstandardized Coefficients of Random Effects GLS Regression of Income...

  1. 186 IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 7, JULY 1999 Vector Median-Rational Hybrid Filters

    E-Print Network [OSTI]

    Gabbouj, Moncef

    @cs.tut.fi). M. Gabbouj is with the Signal Processing Laboratory, Tampere University of Technology, FIN-33 101

  2. Integrating Normative Location Models into GIS: Problems and Prospects with the p-median Model (94-5)

    E-Print Network [OSTI]

    Church, Richard L.; Sorensen, Paul

    1994-01-01

    Normative Location Models into GIS: Problems and ProspectsNormative Location Models into GIS: problems and prospectsInformation Systems (GIS). This includes such normative

  3. "Block" "Spot Column" "Spot Row" ORF ID Gene Block Column Row Name ID X Y Dia. F635 Median F635 Mean F635 SD B635 Median B635 Mean B635 SD % > B635+1SD % > B635+2SD F635 % Sat. F532 Median F532 Mean F532 SD B532 Median B532 Mean B532 SD % > B532+1SD % > B

    E-Print Network [OSTI]

    Winston, Fred

    622 100 100 0 2580 2796 1174 63 89 234 100 100 0 5.257 5.315 5.223 5.619 2.874 5.004 0.873 2.394 13231

  4. The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth S.

    2001-01-01

    tn Sttuation Two HEV RG~ 3 + 2- NGV 1 .NEV ,REV CEV 1HEV REV m CEVLII x2 R8 n NGV i i c2 l I Note. Tnp purposesgas powered sedan is an NGV an EVbody style. Bodystyles are

  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

    a sidebar to a longer article on electric vehicles. ) Cogan,R. Electric vehicles: Powerplay on the auto circuit. MotorA Critical Review of Electric Vehicle Market Studies",

  6. The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth S.

    2001-01-01

    and the demand electric vehicles", Transportation ResearchA,Critical Review Electric Vehicle MarketStudies", ReleasableR. (1993) Report of the Electric Vehicle at-HomeRefi~ehng

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

    E-Print Network [OSTI]

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01

    companies claim that electric vehicles will be priced at much more than gasolinecompanies claim that electric vehicles will be priced at much more than the $4,000 price differential between gasoline andcompanies have argued that their research shows that electric vehicles are going to cost more than comparable gasoline

  8. Point process models for household distributions within small areal units

    E-Print Network [OSTI]

    Almquist, Zack W; Butts, Carter T

    2012-01-01

    volunteered geographic information (VGI) (Goodchild 2007).The availability of VGI has grown rapidly due to thelongitude coordinates), VGI may in some cases be obfuscated

  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. 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 ...

  11. Barriers to Electrification for "Under Grid" Households in Rural Kenya

    E-Print Network [OSTI]

    2014-01-01

    outlook.org/publications/weo-2013/. International Energyoutlook.org/publications/weo-2012/. Jack, William, and

  12. Household water treatment and safe storage product development in Ghana

    E-Print Network [OSTI]

    Yang, Shengkun, M. Eng. Massachusetts Institute of Technology

    2013-01-01

    Microbial and/or chemical contaminants can infiltrate into piped water systems, especially when the system is intermittent. Ghana has been suffering from aged and intermittent piped water networks, and an added barrier of ...

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

    E-Print Network [OSTI]

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

    2010-01-01

    by raising the price of fossil fuels in relation to their COfossil fuel-related externalities including climate change typically operate by raising the price

  14. 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.

  15. The Householder Elite: Buddhist Activism in Shanghai, 1920-1956

    E-Print Network [OSTI]

    Jessup, James Brooks

    2010-01-01

    Chinese Buddhist Association (CBA, Zhongguo fojiaohui ). Thelobbys general strategy, the CBA was envisioned with a dualInterior in June 1929, the CBA functioned as the official

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

    E-Print Network [OSTI]

    Vermont, University of

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

  17. Trip rate comparison of workplace and household surveys

    E-Print Network [OSTI]

    Endres, Stephen Michael

    1997-01-01

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

  18. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

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

  19. 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 Yorks energy efficiency programNew York, the New York State Energy Research and Development

  20. Households Evacuation Decision in Response to Hurricanes Katrina and Rita

    E-Print Network [OSTI]

    Huang, Shih-Kai

    2014-08-07

    Although evacuation has been recognized as an effective protective action in responding to a hurricane emergency, it is still not clear why some people leave but others do not. In order to better understand this issue, this study began with a...

  1. 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

  2. Survey of mercury, cadmium and lead content of household batteries

    SciTech Connect (OSTI)

    Recknagel, Sebastian, E-mail: sebastian.recknagel@bam.de [BAM Federal Institute for Materials Research and Testing, Department of Analytical Chemistry, Reference Materials, Richard-Willsttter-Strae 11, D-12489 Berlin (Germany); Radant, Hendrik [BAM Federal Institute for Materials Research and Testing, Department of Analytical Chemistry, Reference Materials, Richard-Willsttter-Strae 11, D-12489 Berlin (Germany); Kohlmeyer, Regina [German Federal Environment Agency (UBA), Section III 1.6 Extended Producer Responsibility, Wrlitzer Platz 1, D-06844 Dessau-Rolau (Germany)

    2014-01-15

    Highlights: A well selected sample of 146 batteries was analysed for its heavy metals content. A comparison was made between heavy metals contents in batteries in 2006 and 2011. No significant change after implementation of the new EU Batteries Directive. Severe differences in heavy metal contents were found in different battery-types. - Abstract: The objective of this work was to provide updated information on the development of the potential impact of heavy metal containing batteries on municipal waste and battery recycling processes following transposition of the new EU Batteries Directive 2006/66/EC. A representative sample of 146 different types of commercially available dry and button cells as well as lithium-ion accumulators for mobile phones were analysed for their mercury (Hg)-, cadmium (Cd)- and lead (Pb)-contents. The methods used for preparing the cells and analysing the heavy metals Hg, Cd, and Pb were either developed during a former study or newly developed. Several batteries contained higher mass fractions of mercury or cadmium than the EU limits. Only half of the batteries with mercury and/or lead fractions above the marking thresholds were labelled. Alkalinemanganese mono-cells and Li-ion accumulators, on average, contained the lowest heavy metal concentrations, while zinccarbon batteries, on average, contained the highest levels.

  3. Could a Common Household Fungus Reduce Oil Imports?

    Broader source: Energy.gov [DOE]

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

  4. Demand for Electric Vehicles in Hybrid Households: An Exploratory Analysis

    E-Print Network [OSTI]

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

    1994-01-01

    stated they wouldlikely add an electric and vehicle to theirhouseholdsand the demand electric vehicles", Transportation1983) "A Critical Reviewof Electric Vehicle MarketStudies",

  5. Household Markets for Neighborhood Electric Vehicles in California

    E-Print Network [OSTI]

    Kurani, Kenneth S.; Sperling, Daniel; Lipman, Timothy; Stanger, Deborah; Turrentine, Thomas; Stein, Aram

    2001-01-01

    A Statewide ELECTRIC ELECTRIC and VEHICLES: Survey Sandrafor Neighborhood Electric Vehicles. Report prepared for theD. (1994). Future Drive: Electric Vehicles and Sustainable

  6. Household Markets for Neighborhood Electric Vehicles in California

    E-Print Network [OSTI]

    Kurani, Kenneth S; Sperling, Daniel; Lipman, Timothy; Stanger, Deborah; Turrentine, Thomas; Stein, Aram

    1995-01-01

    for Neighborhood Electric Vehicles. Report prepared for theD. (1994). Future Drive: Electric Vehicles and Sustainablefor Neighborhood Electric Vehicles. Report prepared for the

  7. Toward a Parametric Model for Major Household Systems Performance1

    E-Print Network [OSTI]

    Salustri, Filippo A.

    include some examples. Easy to use: Examples: RETScreen, NEAT Most created by government agencies

  8. 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

    Adults Towards Consumer Electronics Chicago, IL. Montgomery,2005. Adopting lead-free electronics: Knowledge gaps andworth taking Consumer Electronics Association, Arlington,

  9. 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-

  10. 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 ONeill (Clean Energy Finance Center), Ken

  11. 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...

  12. Household investments in children amid rapid development: Ibo Island, Mozambique

    E-Print Network [OSTI]

    Lopus, Sara Elaine

    2015-01-01

    nurse Presence of symptoms during the month before the census Pregnancy history (one form per pregnancy for all adult

  13. 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

  14. 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...

  15. Ventilation Behavior and Household Characteristics in New California Houses

    E-Print Network [OSTI]

    Price, Phillip N.; Sherman, Max H.

    2006-01-01

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

  16. 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

  17. Diversity and Change in Cambodian Households (1998-2006)

    E-Print Network [OSTI]

    Demont, Floraine; Heuveline, Patrick

    2008-01-01

    DHS Comparative Reports n6, ORC Macro, Calverton, Maryland,for Health [Cambodia], and ORC Macro Phnom Penh : Ministryfor Health [Cambodia], and ORC Macro Phnom Penh : Ministry

  18. 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

  19. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01

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

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

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

    from 1984 to 2010. the categories include vehicle purchases, gasoline and motor oil, and other transporation related items. See table below for more detailed information....

  1. 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

  2. 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

  3. COMPLETE ONLY ONE APPLICATION FOR YOUR HOUSEHOLD Attachment 10

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    ; that school officials may verify the information and that deliberate misrepresentation of the information may # ___ ___ ___ - ___ ___ - ___ ___ ___ ___ _____________________________ _____________________________ ____________________________________________________ ______________ Home Telephone Work Telephone Mailing Address Zip Code SOCIAL SECURITY NUMBER: If Part 4 is completed of Reviewing Official: _____________________________________ Date: ___________________ _______ F _______R

  4. 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

  5. The Impact of Carsharing on Household Vehicle Ownership

    E-Print Network [OSTI]

    Martin, Elliot; Shaheen, Susan

    2011-01-01

    organizations that use the neighborhood business model.The neighborhood business model consists of carsharingmembership base. Two business models we did not consider in

  6. Community and household determinants of water quality in coastal Ghana

    E-Print Network [OSTI]

    Smith, David C.

    Buszin, Holly Reed, David C. Smith, Zarah Rahman, Catherine Andrzejewski, Kofi Awusabo-Asare and Michael University, Box G-S121, 121 South Main Street, Room 220, Providence, RI 02912, USA Tel.: 401-863-1354 Fax: 401-863-1373 E-mail: Stephen_McGarvey@brown.edu Justin Buszin Holly Reed Zarah Rahman Catherine

  7. 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

  8. 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.

  9. 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

  10. Point process models for household distributions within small areal units

    E-Print Network [OSTI]

    Almquist, Zack W; Butts, Carter T

    2012-01-01

    written in the R statistical programming language (R Devel-R Development Core Team (2010). R: A language and environment for statistical

  11. Who counts? how the state (re)creates households

    E-Print Network [OSTI]

    Walther, Carol Sue

    2009-05-15

    Prior research focused upon the intersection of race, ethnicity, citizenship and identity produced as a result of the Census Schedule. In this dissertation, I focus on the Census, as an instrument of the state, to capture ...

  12. A Model of Household Demand for Activity Participation and Mobility

    E-Print Network [OSTI]

    Golob, Thomas F.

    1996-01-01

    T.F. R. Kitamura and C. Lula (1994) Modeling the Effects ofGolob, Kitamura and Lula, 1994) to modify a conventional

  13. A Model of Household Demand for Activity Participation and Mobility

    E-Print Network [OSTI]

    Golob, Thomas F.

    1996-01-01

    T.F. R. Kitamura and C. Lula (1994) Modeling the Effects ofGolob, Kitamura and Lula, 1994) to modify a conventional

  14. 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)

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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),

  20. 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.

  1. 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

  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)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic.C : Q U A L I T Y OE

  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)DecadeYear Jan Feb Mar Apr MayYear JanThousandThousand Cubic.C : Q U A L I T Y

  4. 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

  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.C : Q U A L I T

  6. 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|

  7. 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

  8. Shared Solar Projects Powering Households Throughout America | Department

    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 FuelsofProgram: Report AppendicesAVideo »ServicesShale Gas R&D Shale Gas

  9. 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

  10. 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.

  11. Community Cellular Networks

    E-Print Network [OSTI]

    Heimerl, Kurtis

    2013-01-01

    06:00 every night while hydro power was unavailable. Duringof the night (when hydro power is unavailable) providing

  12. 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

  13. Simulated and human metapopulations created by habitat selection

    E-Print Network [OSTI]

    Morris, Douglas W.

    that resident Canadians move between cities to maximize income. Key assumptions: Groups in different habitats to maximize median household income. Conclusion: Local extinction and recolonization is easily created can be treated as different populations. Different Canadian cities represent separate habitats. Income

  14. The Economic Challenges Facing Milwaukee's Inner City

    E-Print Network [OSTI]

    Saldin, Dilano

    The Economic Challenges Facing Milwaukee's Inner City Statistical Snapshots UWM Center for Economic Development #12;Milwaukee's "Inner City," 1970-2000: An Economic Snapshot $18,193$21,090Real median household in the inner city: continuing economic distress in the traditional inner city, and growing distress

  15. Title: USA Census Grids Data Creator /

    E-Print Network [OSTI]

    , Incomes, Education, Immigration, Poverty, Household Sizes, Female-headed households, Household Occupancy

  16. A key feature of locomotor anatomy in fishes is the dorsal fin, which is one of three median fins, together with the anal

    E-Print Network [OSTI]

    Lauder, George V.

    of fishes has been the subject of limited experimental study compared with other propulsor systems specialized swimming modes in which the dorsal fin is employed as a key propulsor. Particular attention has-vortical (drag) wake is hypothesized as a mechanism for enhancing tail thrust. This study provides the first

  17. Does Agricultural Liberalization Reduce Rural Welfare in Less Developed Countries? The Case of CAFTA

    E-Print Network [OSTI]

    Taylor, J. Edward; Yunez Naude, Antonio; Jesurun-Clements, Nancy

    2007-01-01

    Landless households, low skill household head has fewer thanLandless households, low skill household head has fewer thanhouseholds, low skill production; household head has fewer

  18. The Residential Segregation of Same-Sex Partnered Households from Heterosexual Partnered Households: Metropolitan Statistical Areas in the U.S., 2010

    E-Print Network [OSTI]

    Deng, Xiaodan

    2015-05-12

    to date. Figure 1, reproduced from Duncan and Duncan (1955), shows a geometrical def- inition of D as the maximum vertical dis- tance between the "segregation curve" and the curve Y = X. The segregation curve is the plot of the cumulative proportion... of whites versus the cumulative proportion of nonwhites, where the respective cumula- tions are obtained by taking the census tracts in order of increasing nonwhite per- centages. The Duncans provided a set of inade- quacies and precautionary comments...

  19. "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

  20. "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

  1. "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

  2. "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

  3. The Determinants of Homeonwership in Presence of Shocks Experienced by Mexican Households

    E-Print Network [OSTI]

    Lopez Cabrera, Jesus Antonio 1977-

    2012-11-05

    on this research. Thanks also go to my colleagues and the Department faculty and staff for making my time at Texas A&M University a great experience. I also want to extend my gratitude to the Consejo Nacional de Ciencia y Tecnologia (CONACYT) and the Fondo...

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

    E-Print Network [OSTI]

    Dale, Larry

    2008-01-01

    D. and R. Rao. Effect of Price on the Demand for Durables:1997 Tellis, G. The Price Elasticity of Selective Demand: A1997 4 G. Tellis. "The Price Elasticity of Selective Demand:

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

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01

    Indicator Constant Table 2.4 - Hedonic Price Regressions,Indicator Constant Table 2.5 - Hedonic Price Regressions,of improvements Table 2.32 - Unadjusted price variance - All

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

    E-Print Network [OSTI]

    Dale, Larry

    2008-01-01

    and Appliance Price6 LIST OF TABLES Table 1.1estimates in this table. 7 Average brand price elasticityTable 2.2 Appliance Refrigerators Clothes Washers Dishwashers Economic Variables Price

  7. 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

  8. 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

  9. 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,

  10. Analysis and design of household rainwater catchment systems for rural Rwanda

    E-Print Network [OSTI]

    Cresti, Daria

    2007-01-01

    The Dian Fossey Gorilla Fund International (DFGFI) contacted MIT in September 2006 for technical assistance to analyze the water-supply potential within the Bisate Sector, Musanze District, Rwanda. The present study focuses ...

  11. 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-Jrgensen. Energy efficiency of2000) [18], Birkeland and Jordal- Jrgensen (2001) [13]),2000) [18], Birkeland and Jordal-Jrgensen (2001) [13] to

  12. 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 effecta survey. Energy Policy 28 (6-7), 389401.and climate policy. Energy Policy 32 (4), 481491. Leiby,

  13. Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation Policy

    E-Print Network [OSTI]

    Raphael, S; Berube, A; Deakin, Elizabeth

    2006-01-01

    wcre directed to the Superdome and the (Sonvention Centerbe such sites. While the Superdome proved to be a severely

  14. 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

  15. 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

  16. 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 ...

  17. 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

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01

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

  19. Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China

    E-Print Network [OSTI]

    Lin, Jiang

    2006-01-01

    electric water heaters, and solar water heaters. The mostby electric water heaters (31.3%), and solar water heaters (

  20. 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. &

  1. Monitoring and evaluation of the ceramic hemispheric filter in Northern Ghanaian households

    E-Print Network [OSTI]

    Cheng, Kristine M. (Kristine Marie)

    2013-01-01

    The village of Yipelgu in the Northern Region of Ghana was the recipient of a 1,000-ceramic hemispheric water filter distribution, which was supplied by Pure Home Water (PHW) and funded by UNICEF-Ghana. The distribution ...

  2. 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

  3. The Impact of Rising Food Prices on Household Welfare in India

    E-Print Network [OSTI]

    de Janvry, Alain; Sadoulet, Eliisabeth

    2009-01-01

    that these cereal and oil price increases of 28 to 52% wouldthe large increase in oil prices, leaving them with only aprices and 2.2% from the oil price increase. Poor people

  4. 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

  5. Evaluating the biogas potential of the dry fraction from pretreatment of food waste from households

    SciTech Connect (OSTI)

    Murto, Marika; Bjrnsson, Lovisa; Rosqvist, Hkan; Bohn, Irene

    2013-05-15

    Highlights: ? A novel approach for biogas production from a waste fraction that today is incinerated. ? Biogas production is possible in spite of the impurities of the waste. ? Tracer studies are applied in a novel way. ? Structural material is needed to improve the flow pattern of the waste. ? We provide a solution to biological treatment for the complex waste fraction. - Abstract: At the waste handling company NSR, Helsingborg, Sweden, the food waste fraction of source separated municipal solid waste is pretreated to obtain a liquid fraction, which is used for biogas production, and a dry fraction, which is at present incinerated. This pretreatment and separation is performed to remove impurities, however also some of the organic material is removed. The possibility of realising the methane potential of the dry fraction through batch-wise dry anaerobic digestion was investigated. The anaerobic digestion technique used was a two-stage process consisting of a static leach bed reactor and a methane reactor. Treatment of the dry fraction alone and in a mixture with structural material was tested to investigate the effect on the porosity of the leach bed. A tracer experiment was carried out to investigate the liquid flow through the leach beds, and this method proved useful in demonstrating a more homogenous flow through the leach bed when structural material was added. Addition of structural material to the dry fraction was needed to achieve a functional digestion process. A methane yield of 98 m{sup 3}/ton was obtained from the dry fraction mixed with structural material after 76 days of digestion. This was in the same range as obtained in the laboratory scale biochemical methane potential test, showing that it was possible to extract the organic content in the dry fraction in this type of dry digestion system for the production of methane.

  6. 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

  7. Farm Households and Land Use in a Core Conservation Zone of the Maya Biosphere Reserve, Guatemala

    E-Print Network [OSTI]

    Lopez-Carr, David

    David L. Carr # Springer Science + Business Media, LLC 2007 Abstract This paper employs cross region (FAO 2001). Latin Hum Ecol DOI 10.1007/s10745-007-9154-1 D. L. Carr (*) Department of Geography, University of California, Ellison Hall 3611, Santa Barbara, CA 93106, USA e-mail: carr@geog.ucsb.edu #12

  8. Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China

    E-Print Network [OSTI]

    Lin, Jiang

    2006-01-01

    heaters, electric water heaters, and solar water heaters.by electric water heaters (31.3%), and solar water heaters (

  9. Socioeconomic Risk Moderates the Link Between Household Chaos and Maternal Executive Function

    E-Print Network [OSTI]

    .e., single parenthood, lower mother and father educational attainment, housing situation, and father in ecological contexts in the home and beyond (Bronfenbrenner & Ceci, 1994). Furthermore, these ecological socioeconomic risk factors, house- hold "chaos" (e.g., noise, distractions, disarray), and maternal cognitive

  10. FINANCING ELECTRONIC WASTE RECYCLING - Californian Households Willingness to Pay Advanced Recycling Fees

    E-Print Network [OSTI]

    Nixon, Hilary; Saphores, Jean-Daniel M

    2007-01-01

    Environmental Paradigm (NEP) scale, which has been widelyand Guagnano, 1995). The NEP was updated in 2000 and renamedand Poon (2001) use the NEP in a comparison of recycling

  11. Methodology Strati ed sampling design of 400 households in four Phoenix neighborhoods

    E-Print Network [OSTI]

    Hall, Sharon J.

    Endorsement of the New Ecological Paradigm (NEP): A revised NEP Scale. Journal of Social Issues 56(3): 425

  12. Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China

    E-Print Network [OSTI]

    Lin, Jiang

    2006-01-01

    and Management Standards is a technical committee under CNISthe technical support organization for standard developmentcertain technical challenges in raising standard levels much

  13. 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,

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

    E-Print Network [OSTI]

    Paris-Sud XI, Universit 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

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

    E-Print Network [OSTI]

    Abbanat, Brian A.

    2001-01-01

    of the Canadian Natural Gas Vehicles Survey, SAE 892067,2000. Gushee, David E, Natural Gas Vehicles Stall on Way toWelfare Costs of Natural Gas Vehicles, Resources for the

  16. Design of a wireless power transmission system for sensors in a household environment

    E-Print Network [OSTI]

    Zaini, Hesham Marwan

    2015-01-01

    Application of computing and communication systems towards monitoring physical devices enables the Industrial Internet, a smart system of sensors integrated within physical objects. A major challenge associated with designing ...

  17. 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

  18. Home ownership as wealth over the life cycle European Household Motivation for Residential Assets

    E-Print Network [OSTI]

    Birmingham, University of

    etherlands D enm ark S w eden G erm any The grounds for this preference for buying one's home are identical

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

    in the territory to be 13 tCO2e per year per capita, roughly 35% less than the average US per capita footprint in the cost and quality of electricity and transportation, and also impacts the provision of basic goods resources to a warming climate (Mimura, 2007). Recent cost assessments project that increased hurri- cane

  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...