Sample records for household questionnaire time

  1. Smoothing consumption across households and time : essays in development economics

    E-Print Network [OSTI]

    Kinnan, Cynthia Georgia

    2010-01-01T23:59:59.000Z

    This thesis studies two strategies that households may use to keep their consumption smooth in the face of fluctuations in income and expenses: credit (borrowing and savings) and insurance (state contingent transfers between ...

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

    E-Print Network [OSTI]

    Are domestic load profiles stable over time? An attempt to identify target households for demand Bamberg, Germany Email: thorsten.staake@uni-bamberg.de Abstract--Elaborating demand side management future demand side will largely depend on an automatic control of larger loads, it is also widely agreed

  3. Conversion of Questionnaire Data

    SciTech Connect (OSTI)

    Powell, Danny H [ORNL] [ORNL; Elwood Jr, Robert H [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    During the survey, respondents are asked to provide qualitative answers (well, adequate, needs improvement) on how well material control and accountability (MC&A) functions are being performed. These responses can be used to develop failure probabilities for basic events performed during routine operation of the MC&A systems. The failure frequencies for individual events may be used to estimate total system effectiveness using a fault tree in a probabilistic risk analysis (PRA). Numeric risk values are required for the PRA fault tree calculations that are performed to evaluate system effectiveness. So, the performance ratings in the questionnaire must be converted to relative risk values for all of the basic MC&A tasks performed in the facility. If a specific material protection, control, and accountability (MPC&A) task is being performed at the 'perfect' level, the task is considered to have a near zero risk of failure. If the task is performed at a less than perfect level, the deficiency in performance represents some risk of failure for the event. As the degree of deficiency in performance increases, the risk of failure increases. If a task that should be performed is not being performed, that task is in a state of failure. The failure probabilities of all basic events contribute to the total system risk. Conversion of questionnaire MPC&A system performance data to numeric values is a separate function from the process of completing the questionnaire. When specific questions in the questionnaire are answered, the focus is on correctly assessing and reporting, in an adjectival manner, the actual performance of the related MC&A function. Prior to conversion, consideration should not be given to the numeric value that will be assigned during the conversion process. In the conversion process, adjectival responses to questions on system performance are quantified based on a log normal scale typically used in human error analysis (see A.D. Swain and H.E. Guttmann, 'Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications,' NUREG/CR-1278). This conversion produces the basic event risk of failure values required for the fault tree calculations. The fault tree is a deductive logic structure that corresponds to the operational nuclear MC&A system at a nuclear facility. The conventional Delphi process is a time-honored approach commonly used in the risk assessment field to extract numerical values for the failure rates of actions or activities when statistically significant data is absent.

  4. The MPC&A Questionnaire

    SciTech Connect (OSTI)

    Powell, Danny H [ORNL] [ORNL; Elwood Jr, Robert H [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    The questionnaire is the instrument used for recording performance data on the nuclear material protection, control, and accountability (MPC&A) system at a nuclear facility. The performance information provides a basis for evaluating the effectiveness of the MPC&A system. The goal for the questionnaire is to provide an accurate representation of the performance of the MPC&A system as it currently exists in the facility. Performance grades for all basic MPC&A functions should realistically reflect the actual level of performance at the time the survey is conducted. The questionnaire was developed after testing and benchmarking the material control and accountability (MC&A) system effectiveness tool (MSET) in the United States. The benchmarking exercise at the Idaho National Laboratory (INL) proved extremely valuable for improving the content and quality of the early versions of the questionnaire. Members of the INL benchmark team identified many areas of the questionnaire where questions should be clarified and areas where additional questions should be incorporated. The questionnaire addresses all elements of the MC&A system. Specific parts pertain to the foundation for the facility's overall MPC&A system, and other parts pertain to the specific functions of the operational MPC&A system. The questionnaire includes performance metrics for each of the basic functions or tasks performed in the operational MPC&A system. All of those basic functions or tasks are represented as basic events in the MPC&A fault tree. Performance metrics are to be used during completion of the questionnaire to report what is actually being done in relation to what should be done in the performance of MPC&A functions.

  5. Utility Access Questionnaire | Utility Access Questionnaire

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy)PeteforsythUtah/WindQuestionnaire Thank you for

  6. NEPA Lessons Learned Questionnaire

    Broader source: Energy.gov [DOE]

    A questionnaire to help aid the Office of NEPA Policy and Compliance in meeting its responsibility to foster continuing improvement of the Department of Energy's National Environmental Policy Act process.

  7. Ventilation Behavior and Household Characteristics in NewCalifornia Houses

    SciTech Connect (OSTI)

    Price, Phillip N.; Sherman, Max H.

    2006-02-01T23:59:59.000Z

    A survey was conducted to determine occupant use of windows and mechanical ventilation devices; barriers that inhibit their use; satisfaction with indoor air quality (IAQ); and the relationship between these factors. A questionnaire was mailed to a stratified random sample of 4,972 single-family detached homes built in 2003, and 1,448 responses were received. A convenience sample of 230 houses known to have mechanical ventilation systems resulted in another 67 completed interviews. Some results are: (1) Many houses are under-ventilated: depending on season, only 10-50% of houses meet the standard recommendation of 0.35 air changes per hour. (2) Local exhaust fans are under-utilized. For instance, about 30% of households rarely or never use their bathroom fan. (3) More than 95% of households report that indoor air quality is ''very'' or ''somewhat'' acceptable, although about 1/3 of households also report dustiness, dry air, or stagnant or humid air. (4) Except households where people cook several hours per week, there is no evidence that households with significant indoor pollutant sources get more ventilation. (5) Except households containing asthmatics, there is no evidence that health issues motivate ventilation behavior. (6) Security and energy saving are the two main reasons people close windows or keep them closed.

  8. Michigan Questionnaire Documentation System (MQDS)

    E-Print Network [OSTI]

    Cheung, Gina-Qian

    2013-04-03T23:59:59.000Z

    The Michigan Questionnaire Documentation System (MQDS) is a powerful tool used to help create questionnaire documentation, with or without summary statistics, and other documentation based on the Blaise data model for a study. MQDS works by: 1...

  9. 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

  10. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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. 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

    1995-01-01T23:59:59.000Z

    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

  12. JOB EVALUATION QUESTIONNAIRE ANSWER SHEET

    E-Print Network [OSTI]

    Amin, S. Massoud

    JOB EVALUATION QUESTIONNAIRE ANSWER SHEET DO NOT WRITE IN THIS SPACE N.C. Date Received Reclass New Starting Date in Class Yes No NA (NA if Temporary Job) Notice # Effective Date If Reclassified IS TO BE USED WITH THE JOB EVALUATION QUESTIONNAIRE (BA 802) ONLY FOR POSITIONS COVERED BY CIVIL SERVICE

  13. Essays on microeconomics of the household

    E-Print Network [OSTI]

    Wahhaj, Zaki

    2006-01-01T23:59:59.000Z

    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 ...

  14. 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.

    1996-01-01T23:59:59.000Z

    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.

  15. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E. [and others

    1996-11-01T23:59:59.000Z

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

  16. New York Household Travel Patterns: A Comparison Analysis

    SciTech Connect (OSTI)

    Hu, Patricia S [ORNL; Reuscher, Tim [ORNL

    2007-05-01T23:59:59.000Z

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

  17. Households

    E-Print Network [OSTI]

    Moreno Garcia, Juan Carlos

    2012-01-01T23:59:59.000Z

    Families in early Ptolemaic Egypt. In The Hellenistic world:granary models, and domestic economy in ancient Egypt. InThe archaeology and art of ancient Egypt: Essays in Honor of

  18. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I5a. Household

  19. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I5a. Household6a.

  20. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I5a.8a. Household

  1. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I5a.8a. Household9a.

  2. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S. Households, 2001

  3. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S. Households, 20012a.

  4. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S. Households,

  5. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S. Households,4a.

  6. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S. Households,4a.5a.

  7. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.20010a. Household

  8. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.20010a. Household1a.

  9. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.20010a.a. Household

  10. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a. Household

  11. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a. Household9a.

  12. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

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

  13. Evolving Patterns of Household Computer Use: 1999-2010

    E-Print Network [OSTI]

    Venkatesh, Alladi; Dunkle, Debora E.; Wortman, Amanda

    2011-01-01T23:59:59.000Z

    Table 14. Education/Learning: household type, education, andeducation/learning activities: household type, education,related work and learning are specific to certain types of

  14. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect (OSTI)

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

    2009-04-15T23:59:59.000Z

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

  15. The World Distribution of Household Wealth

    E-Print Network [OSTI]

    DAVIES, JAMES B; Shorrocks, Anthony; Sandstrom, Susanna; WOLFF, EDWARD N

    2007-01-01T23:59:59.000Z

    J. B. (1993). ‘The Distribution of Wealth in Canada’.Estimating the World Distribution of Household Wealth’.Tide: Changes in the Distribution of Wealth in the US, 1989-

  16. Household gasoline demand in the United States

    E-Print Network [OSTI]

    Schmalensee, Richard

    1995-01-01T23:59:59.000Z

    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, ...

  17. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    NONE

    1995-10-05T23:59:59.000Z

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

  18. PARTI: JOB DESCRIPTION Weighted Job Questionnaire(WJQ) Custom

    E-Print Network [OSTI]

    Kavanagh, Karen L.

    PARTI: JOB DESCRIPTION Weighted Job Questionnaire(WJQ) Custom Department Name: SFU Document WEIGHTEDJOBQUESTIONNAIRE(WJQ)CUSTO PARTI: JOB DESCRIPTION 1. POSITION IDENTIFICATION Department Position Title: Customer at all times. Provides cost estimates for basic jobs and produces production reports using the Print

  19. Student Job Review Questionnaire / Periodic Survey

    E-Print Network [OSTI]

    Amin, S. Massoud

    Student Job Review Questionnaire / Periodic Survey FOR OHR USE ONLY No Change Date Received JRQ Number Notice Number Job Family Title Job Family Number New Pay Rate/Range Certifiable Yes No Effective Date Approved for Notice Letter Date Notice Mailed Job Review Questionnaire (JRQ) (Student Request

  20. Household batteries: Evaluation of collection methods

    SciTech Connect (OSTI)

    Seeberger, D.A.

    1992-01-01T23:59:59.000Z

    While it is difficult to prove that a specific material is causing contamination in a landfill, tests have been conducted at waste-to-energy facilities that indicate that household batteries contribute significant amounts of heavy metals to both air emissions and ash residue. Hennepin County, MN, used a dual approach for developing and implementing a special household battery collection. Alternative collection methods were examined; test collections were conducted. The second phase examined operating and disposal policy issues. This report describes the results of the grant project, moving from a broad examination of the construction and content of batteries, to a description of the pilot collection programs, and ending with a discussion of variables affecting the cost and operation of a comprehensive battery collection program. Three out-of-state companies (PA, NY) were found that accept spent batteries; difficulties in reclaiming household batteries are discussed.

  1. Household batteries: Evaluation of collection methods

    SciTech Connect (OSTI)

    Seeberger, D.A.

    1992-12-31T23:59:59.000Z

    While it is difficult to prove that a specific material is causing contamination in a landfill, tests have been conducted at waste-to-energy facilities that indicate that household batteries contribute significant amounts of heavy metals to both air emissions and ash residue. Hennepin County, MN, used a dual approach for developing and implementing a special household battery collection. Alternative collection methods were examined; test collections were conducted. The second phase examined operating and disposal policy issues. This report describes the results of the grant project, moving from a broad examination of the construction and content of batteries, to a description of the pilot collection programs, and ending with a discussion of variables affecting the cost and operation of a comprehensive battery collection program. Three out-of-state companies (PA, NY) were found that accept spent batteries; difficulties in reclaiming household batteries are discussed.

  2. Traits Affecting Household Livestock Marketing Decisions in Rural Kenya

    E-Print Network [OSTI]

    Traits Affecting Household Livestock Marketing Decisions in Rural Kenya Katherine L. Baldwin community of Central Kenya, we regressed household offtake rate of both cattle and smallstock against in Kenya. Because pastoralist economies depend almost exclusively upon livestock production, most recent

  3. Essays on household decision making in developing countries

    E-Print Network [OSTI]

    Berry, James W. (James Wesley)

    2009-01-01T23:59:59.000Z

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

  4. Household Water Quality Home Water Quality Problems

    E-Print Network [OSTI]

    Liskiewicz, Maciej

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

  5. Multimedia Developer, TBD Job Description Questionnaire (JDQ)

    E-Print Network [OSTI]

    Barrash, Warren

    Multimedia Developer, TBD Job Description Questionnaire (JDQ) Professional Staff Instructions What Below to Certify Approval or Disapproval: Approval Disapproval ( ) ( ) TBD, Multimedia Developer Position Title: Multimedia Developer Employee Name: TBD Phone: Supervisor Name & Title: TBD, Production

  6. Development of the Eating Habits Questionnaire

    E-Print Network [OSTI]

    Graham, Erin Collins

    2005-02-17T23:59:59.000Z

    The purpose of the studies presented was to develop and examine the psychometric properties of the Eating Habits Questionnaire (EHQ). The author designed the 21-item self-report inventory to assess cognitions, behaviors, and feelings related...

  7. Design and Control of Household CHP Fuel Cell System

    E-Print Network [OSTI]

    Berning, Torsten

    Design and Control of Household CHP Fuel Cell System PhD. project Dissertation Anders Risum and Control of Household CHP Fuel Cell System" Anders R. Korsgaard, M.Sc. Mechanical Engineering, e-mail: ark for micro combined heat and power (CHP) systems for local households. Several components in the PEM fuel

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

    E-Print Network [OSTI]

    Shyu, Mei-Ling

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

  9. Poverty and Productivity in Female-Headed Households in Zimbabwe

    E-Print Network [OSTI]

    Horrell, Sara; Krishnan, Pramila

    A household survey conducted in rural Zimbabwe in 2001 is used to compare the position of de facto and de jure female-headed households to those with a male head. These households are characterised by different forms of poverty that impinge...

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

    E-Print Network [OSTI]

    energy-using devices in the average U.S. household that used over 4,700 kWh of electricity, natural gas-using devices to energy price, household income, and the cost of these devices. This analysis findsTHE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD ENERGY SERVICES by Steven Groves BASc

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

    SciTech Connect (OSTI)

    Doležalová, Markéta, E-mail: mdolezalova@email.cz [Institute for Environmental Studies, Faculty of Science, Charles University in Prague, Benatska 2, 128 01 Prague 2 (Czech Republic); Benešová, Libuše [Institute for Environmental Studies, Faculty of Science, Charles University in Prague, Benatska 2, 128 01 Prague 2 (Czech Republic); Závodská, Anita [School of Adult and Continuing Education, Barry University, 8001 SW 36th Street, Suite #1, Davie, FL 33328 (United States)

    2013-09-15T23:59:59.000Z

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

  12. 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, CaliforniaA Study of Individual Household Water Consumption Borg, Edwards, Kimpel A Study of Individual Household Water Consumption Maisie Borg, Orion Edwards & Sarah Kimpel Abstract Over the past several decades

  13. 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

    1995-01-01T23:59:59.000Z

    by electric and hybrid vehicles", SAE Technical Papers No.household response to hybrid vehicles. Finally, we suggestas electric or hybrid vehicles. Transitions in choices of

  14. Predicting household occupancy for smart heating control: A comparative performance analysis of

    E-Print Network [OSTI]

    , energy management, smart home, energy efficiency, thermostat strategy, heating setback Corresponding, a heating control system may require some time to heat a home to a comfortable temperature after itsPredicting household occupancy for smart heating control: A comparative performance analysis

  15. PART I: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom

    E-Print Network [OSTI]

    PART I: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom Department Name: Position Number WEIGHTED JOB QUESTIONNAIRE (WJQ) CUSTOM PARTI: JOB DESCRIPTION 1. POSITION IDENTIFICATION Department

  16. ENERGY EXCEPTION REQUEST Energy Exception Request Questionnaire

    E-Print Network [OSTI]

    Rock, Chris

    ENERGY EXCEPTION REQUEST Energy Exception Request Questionnaire rev AA.01 2013/04/02 GUIDELINES which exceed the normal schedule by completing this Energy Exception Request and submitting it to the Office of Energy Management. Energy Management will prepare a cost analysis and return

  17. DRUG STUDY QUESTIONNAIRE PROGRAM DIRECTOR:______________________________________ DATE:_____________________________

    E-Print Network [OSTI]

    Acton, Scott

    DRUG STUDY QUESTIONNAIRE PROGRAM DIRECTOR:______________________________________ DATE and/or efficacy of a drug? A. If yes, is the testing, study, evaluation or research primarily for use in pharmaceutical pre-market clearance applications to the Food and Drug Administration? 2. Is drug administered

  18. Knowledge Elecitation for Factors Affecting Taskforce Productivity using a Questionnaire

    E-Print Network [OSTI]

    Muhammad Sohail; Abdur Rashid Khan

    2009-07-30T23:59:59.000Z

    In this paper we present the process of Knowledge Elicitation through a structured questionnaire technique. This is an effort to depict a problem domain as Investigation of factors affecting taskforce productivity. The problem has to be solved using the expert system technology. This problem is the very first step how to acquire knowledge from the domain experts. Knowledge Elicitation is one of the difficult tasks in knowledge base formation which is a key component of expert system. The questionnaire was distributed among 105 different domain experts of Public and Private Organizations (i.e. Education Institutions, Industries and Research etc) in Pakistan. A total 61 responses from these experts were received. All the experts were well qualified, highly experienced and has been remained the members for selection committees a number of times for different posts. Facts acquired were analyzed from which knowledge was extracted and elicited. A standard shape was given to the questionnaire for further research as a knowledge learning tool. This tool may be used as a standard document for selection and promotion of employees.

  19. Solar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting Questionnaire As someone who is familiar with solar energy issues, we hope that you will tak

    E-Print Network [OSTI]

    Islam, M. Saif

    Page 1 Solar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting Questionnaire As someone who is familiar with solar energy issues, we hope that you will take a few moments to answer this short survey

  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. California Household Transportation Survey - Datasets - OpenEI...

    Open Energy Info (EERE)

    from more than 42,500 households via multiple data-collection methods, including computer-assisted telephone interviewing, online and mail surveys, wearable and in-vehicle...

  2. Delivering Energy Efficiency to Middle Income Single Family Households

    E-Print Network [OSTI]

    Zimring, Mark

    2012-01-01T23:59:59.000Z

    Neighborhood Program GETS – Green Energy Training ServicesGJGEI – Green Jobs, Green Energy Initiative CEWO – Cleanincome households. The Green Energy Training Services (GETS)

  3. 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...

  4. assessing household solid: Topics by E-print Network

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

    University of California eScholarship Repository Summary: Water End?Use Energy Efficiency Renewable Energy Technologies Transportation Assessment of Household Carbon Footprint...

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

    EIA), Residential Energy Consumption Survey (http://gasoline is EIA Household vehicle energy use survey (http://survey is 1994 not 1993 (labeled with an *). The EIA

  6. Putting People's Common Sense into Knowledge Bases of Household Robots

    E-Print Network [OSTI]

    Cremers, Daniel

    , and Michael Beetz Intelligent Autonomous Systems Group Department of Informatics Technische Universität München {kunzel,tenorth,beetz}@in.tum.de Abstract. Unlike people, household robots cannot rely

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

    SciTech Connect (OSTI)

    Hoffman, W.L.

    1982-12-01T23:59:59.000Z

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

  8. achieve household waste: Topics by E-print Network

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

    system will help keep your water safe. For more information, visit the Virginia Household Water Quality Program website www.wellwater.bse.vt.edu. unknown authors 30 The...

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

    SciTech Connect (OSTI)

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23T23:59:59.000Z

    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.

  10. 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

    2011-01-01T23:59:59.000Z

    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.

  11. On future household structure Department of Computer Science and Statistics

    E-Print Network [OSTI]

    Løw, Erik

    of the population, such as household size, health or disability status, region of residence, labour market status household forecast helps policy makers, planners, and other forecast users in the fields of housing, energy size. A similar method could be applied to obtain probabilistic forecasts for other divisions

  12. Women, Work and Household Electrification in Rural India

    E-Print Network [OSTI]

    Kammen, Daniel M.

    v Women, Work and Household Electrification in Rural India We must not believe, certainly electrification in rural India, the answer, it seems, would clearly point in a particular direction. On the one, that in the event of full electrification at the household level, rural women stand to be most affected in terms

  13. Modelling the Energy Demand of Households in a Combined

    E-Print Network [OSTI]

    Steininger, Karl W.

    . Emissions from passenger transport, households'electricity and heat consumption are growing rapidly despite demand analysis for electricity (e.g. Larsen and Nesbakken, 2004; Holtedahl and Joutz, 2004Modelling the Energy Demand of Households in a Combined Top Down/Bottom Up Approach Kurt Kratena

  14. Early Station Costs Questionnaire | 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 DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisory Board Contributions EMEMEnergyEarly Station Costs Questionnaire

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

    SciTech Connect (OSTI)

    Lin, Jiang

    2006-07-10T23:59:59.000Z

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

  16. PARTI: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom

    E-Print Network [OSTI]

    PARTI: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom Meeting, Event and Conference UNIVERSITY & C.U.P.E., Local 3338 WEIGHTED JOB QUESTIONNAIRE (WJQ) CUSTOM PARTI: JOB DESCRIPTION 1. POSITION

  17. 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

  18. 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

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

    E-Print Network [OSTI]

    Walther, Carol Sue

    2009-05-15T23:59:59.000Z

    different data sources, I produce five different indices to determine settlement patterns of same-sex households in various geographic areas. Secondly, drawing on variables operationalized as cultural schema and resources, I identify characteristics...

  20. acute household accidental: Topics by E-print Network

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

    system will help keep your water safe. For more information, visit the Virginia Household Water Quality Program website at www.wellwater.bse. vt.edu. unknown authors 27...

  1. aa household alkaline: Topics by E-print Network

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

    system will help keep your water safe. For more information, visit the Virginia Household Water Quality Program website at www.wellwater.bse. vt.edu. unknown authors 26...

  2. Parental Time, Behaviors and Childhood Obesity

    E-Print Network [OSTI]

    Kuteesa, Annette

    2012-02-14T23:59:59.000Z

    is to test and correct for the problem of endogeneity stemming from unobserved health factors that can distort any meaningful causal impact of maternal time on child weight status. Using the household production theory, parental time allocation decisions...

  3. A Glance at China’s Household Consumption

    SciTech Connect (OSTI)

    Shui, Bin

    2009-10-22T23:59:59.000Z

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

  4. Questionnaire for Export Control Certification for H-1B and O-1 Employees What is the Purpose of this Questionnaire?

    E-Print Network [OSTI]

    Kroll, Kristen L.

    Questionnaire for Export Control Certification for H-1B and O-1 Employees What is the Purpose of this Questionnaire? The United States government regulates the export of sensitive technologies, materials, and information to certain foreign countries and to foreign nationals within the U.S. (deemed exports). In some

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

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

    increased by 47%. The number of workers per household has changed the least of the statistics shown here. There has been a decline in the number of persons per household from...

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

    E-Print Network [OSTI]

    Sisk, Cheree L.

    2010-10-12T23:59:59.000Z

    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 individuals choose...

  7. Rebound Effect in Energy Efficient Appliance Adopting Households 

    E-Print Network [OSTI]

    Glenn, Jacob Matthew

    2014-12-10T23:59:59.000Z

    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...

  8. Household scale slow sand filtration in the Dominican Republic

    E-Print Network [OSTI]

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

    2004-01-01T23:59:59.000Z

    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 ...

  9. Microcredit Program Participation and Household Food Security in Rural Bangladesh

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    and per capita calorie consumption, reduces the incidence of food poverty and the prevalence the impact of participation status on different measures of food insecurity -- household calorie consumption and consumption (Dercon and Krishnan, 2000; Dostie et al., 2002; Khandker et al., 2012). Income from non

  10. Effects of household dynamics on resource consumption and

    E-Print Network [OSTI]

    Ehrlich, Paul R.

    influence per capita consumption7,8 and thus biodiversity through, for example, consumption of wood for fuel, and resultant higher per capita resource con- sumption in smaller households15­19 pose serious challenges on resource consumption and biodiversity Jianguo Liu*, Gretchen C. Daily, Paul R. Ehrlich & Gary W. Luck

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

    E-Print Network [OSTI]

    Weiblen, George D

    The residential landscape: fluxes of elements and the role of household decisions Cinzia Fissore biogeochemical cycling of elements through residential household landscapes to evaluate the importance of annual 55108, USA #12;Introduction The household landscape represents a key feature in the residential areas

  12. Production Team Manager, TBD Job Description Questionnaire (JDQ)

    E-Print Network [OSTI]

    Barrash, Warren

    Production Team Manager, TBD Job Description Questionnaire (JDQ) Professional Staff Instructions Below to Certify Approval or Disapproval: Approval Disapproval ( ) ( ) Production Team Manager: Production Team Manager Employee Name: TBD Phone: TBD Supervisor Name & Title: Christine Bauer, Assistant

  13. PART I: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom

    E-Print Network [OSTI]

    PART I: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom Department Name: Student,1412 SIMON FRASER UNIVERSITY & C.U.P.E., Local 3338 JOB DESCRIPTION 1. POSITION IDENTIFICATION Department

  14. 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)

    2014-01-01T23:59:59.000Z

    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.

  15. Do Disaster Expectations Explain Household Portfolios?

    E-Print Network [OSTI]

    Alan, Sule

    durable ex- penditure information; and ?nally, the Panel Study of Income Dynamics (1983-1994) that allows me to calibrate group speci?c income process parameters. Limited het- 3 erogeneity in all parameters is allowed for by estimating the structural... innovations to excess return to be correlated with innovations to per- manent or transitory income in normal market times. Allowing for such a correlation is straightforward and would reduce the ex-ante disaster probability and disaster size needed to match...

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

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2008-06-01T23:59:59.000Z

    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.

  17. The Effect of Marketing Messages, Liquidity Constraints, and Household Bargaining on Willingness to Pay for a Nontraditional Cook-stove

    E-Print Network [OSTI]

    Beltramo, Theresa; Levine, David I; Blalock, Garrick

    2014-01-01T23:59:59.000Z

    Rural households are on average poorer than urban counterparts and have low rates of electrification-

  18. Pollak and Wachter on the Household Production Function Approach

    E-Print Network [OSTI]

    Barnett, William A.

    1977-10-01T23:59:59.000Z

    of the ith commodity. As Pollak and Wachter have observed, much of the appeal of the commodity shadow-price approach lies in its ability to use functions having known neoclassical properties. However, Pollak and Wachter maintain that, if the constraint 7r(P...). But the commodity shadow prices 7r(P, Z) do depend upon Z whenever house- hold production exhibits jointness, which Pollak and Wachter maintain is inherently characteristic of household production processes. Hence 1 Pollack and Wachter have considered...

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

    E-Print Network [OSTI]

    Magana Lemus, David

    2013-09-20T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Letschert, Virginie

    2010-01-01T23:59:59.000Z

    household GDP is corrected for Purchase Power Parity (PPP).The PPP factor adjusts currency market exchange rates (MER)20% for countries with average PPP adjusted incomes below $

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

    E-Print Network [OSTI]

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

    2001-01-01T23:59:59.000Z

    In contrast to a hybrid vehicle whichcombines multipleor 180 mile hybrid electric vehicle. Natural gas vehicles (1994) "Demand Electric Vehicles in Hybrid for Households:

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

    Reports and Publications (EIA)

    2004-01-01T23:59:59.000Z

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

  3. "Table HC7.10 Home Appliances 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...

  4. "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...

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

    E-Print Network [OSTI]

    Raphael, S; Berube, A; Deakin, Elizabeth

    2006-01-01T23:59:59.000Z

    Differences in 10 Household Automobile Ownership Rates:hauseltoldr lacking automobiles were mmit like! ) to be leftWithout 3 Access to an Automobile. Top Ten Metropolitan

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

    E-Print Network [OSTI]

    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 sectorImproving Device-level Electricity Consumption Breakdowns in Private Households Using ON/OFF Events

  7. Changing household behaviors to curb climate change: How hard can it be? Shahzeen Z. Attaria,1

    E-Print Network [OSTI]

    Attari, Shahzeen Z.

    efforts to reduce household energy consumption. As part of a recent national survey on public perceptions: E-mail: shahzeen.attari@gmail.com #12;The residential sector contributes over 20% of energy reduce household energy consumption by nearly 30%. Examples include tuning up the car twice a year

  8. Dimethyl ether (DME) from coal as a household cooking fuel in China

    E-Print Network [OSTI]

    be made from any carbonaceous feedstock, including natural gas, coal, or biomass, using establishedDimethyl ether (DME) from coal as a household cooking fuel in China Eric D. Larson Princeton gas (LPG) as a household cooking fuel. As such, DME is an attractive fuel for clean cooking. DME can

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

    E-Print Network [OSTI]

    Diallo, Ibrahima

    2013-05-31T23:59:59.000Z

    UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE By © 2013 IBRAHIMA DIALLO Submitted to the graduate degree program in Economics and the Graduate Faculty of the University of Kansas... version of the following dissertation: UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE ________________________________ (Chairperson) William A. Barnett Date...

  10. 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

  11. 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 decomposes recent deforestation in four study areas in the Brazilian Amazon into components associated deforestation with respect to the proximate causes of their farming systems, and the household drivers

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

    E-Print Network [OSTI]

    Forrest, Timothy Lee

    2007-04-25T23:59:59.000Z

    ...................................................................................................... 47 7 Significance Levels of Variables in Each Model......................................... 49 A-1 Example of Household Data File Format (Laredo) ..................................... 60 A...-2 Example of Household Data File Format Codes (Laredo) .......................... 62 A-3 Example of Person Data File Format (Laredo)............................................ 63 A-4 Example...

  13. Predicting household occupancy for smart heating control: A comparative performance analysis of

    E-Print Network [OSTI]

    , occupancy prediction, smart heating, energy management, smart home, energy efficiency Corresponding author.e. the household having too low a temperature when the residents come back home ­ triggering the heatingPredicting household occupancy for smart heating control: A comparative performance analysis

  14. 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

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

    E-Print Network [OSTI]

    Sekhon, Jasjeet S.

    Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation's aftermath concerned the size and composition of the area's populations that lacked access to an automobile for all U.S. metropolitan areas that reside in a household without access to an automobile. Finally, we

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

    E-Print Network [OSTI]

    Bakhtavoryan, Rafael

    2012-02-14T23:59:59.000Z

    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 demand for peanut butter...

  17. "Certainly the Proper Business of Woman": Household and Estate Management Techniques of Eighteenth-Century French Noblewomen

    E-Print Network [OSTI]

    Utech, Sally

    2010-10-12T23:59:59.000Z

    This project explores the legal, economic, and social aspects of household and estate management in eighteenth-century France. It investigates two paradoxes surrounding noblewomen and household management. The first involves ...

  18. 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

    2006-10-30T23:59:59.000Z

    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 ...

  19. Load Component Database of Household Appliances and Small Office Equipment

    SciTech Connect (OSTI)

    Lu, Ning; Xie, YuLong; Huang, Zhenyu; Puyleart, Francis; Yang, Steve

    2008-07-24T23:59:59.000Z

    This paper discusses the development of a load component database for household appliances and office equipment. To develop more accurate load models at both transmission and distribution level, a better understanding on the individual behaviors of home appliances and office equipment under power system voltage and frequency variations becomes more and more critical. Bonneville Power Administration (BPA) has begun a series of voltage and frequency tests against home appliances and office equipments since 2005. Since 2006, Researchers at Pacific Northwest National Laboratory has collaborated with BPA personnel and developed a load component database based on these appliance testing results to facilitate the load model validation work for the Western Electricity Coordinating Council (WECC). In this paper, the testing procedure and testing results are first presented. The load model parameters are then derived and grouped. Recommendations are given for aggregating the individual appliance models to feeder level, the models of which are used for distribution and transmission level studies.

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

    with predominantly coal-fired electricity.10 Income, household size, and social factors have been shown to affect

  1. MENTOR QUESTIONNAIRE Name: Title: Email: Office Phone Number:

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9November 6, In this3,Office ofMENTOR QUESTIONNAIRE

  2. Patterns of Stove Usage after Introduction of an Advanced Cookstove: The Long-Term Application of Household Sensors

    E-Print Network [OSTI]

    ABSTRACT: Household air pollution generated from solid fuel use for cooking is one of the leading risk% of households rely on solid fuelsincluding wood, dung, grass, coal, and crop residues for cooking.1 The 2010 of Household Sensors Ajay Pillarisetti,*, Mayur Vaswani, Darby Jack,§ Kalpana Balakrishnan, Michael N. Bates

  3. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect (OSTI)

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

    2013-10-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Lin, Jiang

    2006-01-01T23:59:59.000Z

    in the next 20-30 years as China builds large quantity ofof power generation in China from 0.230 in 2003 to 0.164 kgHousehold Appliances in China Jiang Lin Environmental Energy

  5. 34 Pauline Kristiansen – life in the household, growing up in north-west Greenland

    E-Print Network [OSTI]

    Leonard, Stephen Pax

    last updated on Monday, 4 April 2011 Accession Form for Individual Recordings: Collection / Collector Name Stephen Leonard Tape No. / Track / Item No. 34 Length of track 1 hour 12 minutes Title of track Pauline Kristiansen – life in the household...

  6. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own...

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

    with three or more vehicles grew from 2% in 1960 to nearly 20% in 2010. Before 1990, the most common number of vehicles per household was one, but since 1990, the most...

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

    E-Print Network [OSTI]

    Stevenson, Matthew M

    2009-01-01T23:59:59.000Z

    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 ...

  8. 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.

    1997-08-29T23:59:59.000Z

    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...

  9. 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 ...

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

    E-Print Network [OSTI]

    Green, Vanessa (Vanessa Layton)

    2008-01-01T23:59:59.000Z

    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 ...

  11. MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT Household Model of Chagas Disease Vectors (Hemiptera: Reduviidae)

    E-Print Network [OSTI]

    Vermont, University of

    MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT Household Model of Chagas Disease Vectors (Hemiptera vectors (Hemiptera: Reduviidae) of the causative parasite Trypanosoma cruzi (Kinetoplastida bitten by infected insect vectors. There are 130 species in the subfamily Triatominae (Hemiptera

  12. Reconstituting Lives: Somali Women's Efforts to Reformulate Household and Community Values in Kansas City, Missouri

    E-Print Network [OSTI]

    Filippi-Franz, Melissa

    2009-01-01T23:59:59.000Z

    The research addresses what Somali women living in Kansas City, Missouri do to assist their households and communities to come to terms with the consequences of forced migration. Women's contributions to wellbeing are found ...

  13. Towards Practical and Grounded Knowledge Representation Systems for Autonomous Household Robots

    E-Print Network [OSTI]

    Cremers, Daniel

    Moritz Tenorth, Michael Beetz Intelligent Autonomous Systems, Technische Universit¨at M¨unchen {tenorth, beetz}@cs.tum.edu Abstract-- Mobile household robots need much knowledge about objects, places

  14. Questionnaires for eliciting evaluation data from users of interactive question answering

    SciTech Connect (OSTI)

    Kelly, Diane; Kantor, Paul B.; Morse, Emile; Scholtz, Jean; Sun, Y.

    2009-01-01T23:59:59.000Z

    Evaluating interactive question answering (QA) systems with real users can be challenging because traditional evaluation measures based on the relevance of items returned are difficult to employ since relevance judgments can be unstable in multi-user evaluations. The work reported in this paper evaluates, in distinguishing among a set of interactive QA systems, the effectiveness of three questionnaires: a Cognitive Workload Questionnaire (NASA TLX), and Task and System Questionnaires customized to a specific interactive QA application. These Questionnaires were evaluated with four systems, seven analysts, and eight scenarios during a 2-week workshop. Overall, results demonstrate that all three Questionnaires are effective at distinguishing among systems, with the Task Questionnaire being the most sensitive. Results also provide initial support for the validity and reliability of the Questionnaires.

  15. The effects of cash cropping on household expediture patterns in rural Kenya

    E-Print Network [OSTI]

    George, Fred Ken

    1986-01-01T23:59:59.000Z

    of the hypotheses tested from the general problem statement is in order. The first hypothesis tested was that the average total expenditure for both commercial and send. -subsistence households are the same. Given that total expenditures are regarded as a proxy.... , University of Zambia at Lusaka Chairman of Advisory Committee: Dr. Carl E. Shafer The aims of the study are to determine significant differences in the patterns and levels of expenditure by semi-subsistence and commercial farm households in rural Kenya...

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

    E-Print Network [OSTI]

    Lopez Cabrera, Jesus Antonio 1977-

    2012-11-05T23:59:59.000Z

    of a death of household head. Death changes the economic and social face of a family, but the effect is usually less widespread than natural disasters. Juarez Torres (2010) examines the household capacity to recovery from shocks based... DEDICATION To my Lord, for showing me patience and love. To my wife, Miriam Juarez Torres, because your amazing love enlighten my road. Thank you for each prayer and words you gave me. To my kids, Emilio Lopez Juarez and Lilian Helena Lopez Juarez...

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

    E-Print Network [OSTI]

    Perusquia Corres, Ernesto

    2009-06-02T23:59:59.000Z

    HOUSEHOLD INCOME POOLING AND THE DEMAND FOR FOOD: DOES FAMILY FINANCIAL STRUCTURE MATTER? A Dissertation by ERNESTO PERUSQUIA CORRES Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of DOCTOR OF PHILOSOPHY August 2006 Major Subject: Agricultural Economics HOUSEHOLD INCOME POOLING AND THE DEMAND FOR FOOD: DOES FAMILY FINANCIAL STRUCTURE MATTER? A Dissertation by ERNESTO PERUSQUIA CORRES Submitted to the Office of Graduate...

  18. 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.

    2014-10-14T23:59:59.000Z

    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.

  19. Secondary organic aerosol from ozone-initiated reactions with terpene-rich household products

    SciTech Connect (OSTI)

    Coleman, Beverly; Coleman, Beverly K.; Lunden, Melissa M.; Destaillats, Hugo; Nazaroff, William W.

    2008-01-01T23:59:59.000Z

    We analyzed secondary organic aerosol (SOA) data from a series of small-chamber experiments in which terpene-rich vapors from household products were combined with ozone under conditions analogous to product use indoors. Reagents were introduced into a continuously ventilated 198 L chamber at steady rates. Consistently, at the time of ozone introduction, nucleation occurred exhibiting behavior similar to atmospheric events. The initial nucleation burst and growth was followed by a period in which approximately stable particle levels were established reflecting a balance between new particle formation, condensational growth, and removal by ventilation. Airborne particles were measured with a scanning mobility particle sizer (SMPS, 10 to 400 nm) in every experiment and with an optical particle counter (OPC, 0.1 to 2.0 ?m) in a subset. Parameters for a three-mode lognormal fit to the size distribution at steady state were determined for each experiment. Increasing the supply ozone level increased the steady-state mass concentration and yield of SOA from each product tested. Decreasing the air-exchange rate increased the yield. The steady-state fine-particle mass concentration (PM1.1) ranged from 10 to> 300 mu g m-3 and yields ranged from 5percent to 37percent. Steady-state nucleation rates and SOA mass formation rates were on the order of 10 cm-3 s-1 and 10 mu g m-3 min-1, respectively.

  20. Overview of CFC replacement issues for household refrigeration

    SciTech Connect (OSTI)

    Vineyard, E.A. [Oak Ridge National Lab., TN (United States); Roke, L. [Fisher and Paykel, Auckland (New Zealand); Hallett, F. [Frigidaire, Washington, DC (United States)

    1991-12-31T23:59:59.000Z

    In 1974, the famous ozone depletion theory of Rowland and Molina claimed that chlorofluorocarbons (CFCs) diffuse into the stratosphere where they are broken down by photolysis to release chlorine atoms that catalytically destroy ozone. Although the understanding of the science is still imperfect, there is little doubt that CFCs play a major role in the Antarctic ozone hole phenomenon and the decline in ozone observed in the rest of the world. Another issue that has become increasingly important is the potential of CFCs to change the earth`s temperature and to modify the climate. While the main impact in global warming is made by increased concentrations of carbon dioxide, CFCs and other trace gases also contribute to this effect. In an effort to respond to the global environmental threat, a CFC protocol was adopted during a diplomatic conference in Montreal. This document, known as the Montreal Protocol, was ratified in 1988 and put into effect on January 1, 1989. In accordance with Article 6 of the Montreal Protocol, the countries that signed the agreement shall periodically assess the control measures provided for in the Protocol. As part of that assessment process, household refrigeration was investigated to determine the status of CFC-12 replacements. The conclusion was that much progress has been made towards finding a suitable replacement. Compressors designed for HFC-134a have efficiencies comparable to those for CFC-12 and acceptable reliability tests have been obtained with ester lubricants. In addition, other replacements such as R-152a and refrigerant mixtures exist, but will require more study. Cycle options, such as the Stirling cycle, may be viable, but are further out in the future. The impact of new refrigerants is expected to result in elimination of CFC-12 consumption in developed countries by 1997 and in developing countries by 2005.

  1. Survey Questionnaire on Environmental Management Practices: Summary of Results by Industry and practices

    E-Print Network [OSTI]

    Delmas, Magali A; Toffel, Michael W.

    2008-01-01T23:59:59.000Z

    results of a survey on Environmental Management Practices (SURVEY QUESTIONNAIRE ON ENVIRONMENTAL MANAGEMENT PRACTICESmanagement consultants to complete the draft survey, and

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

    E-Print Network [OSTI]

    Monkkonen, P

    2013-01-01T23:59:59.000Z

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

  3. 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.

    1993-08-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2005-05-31T23:59:59.000Z

    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.

  5. CATCH KIDS CLUB AFTER-SCHOOL STUDENT QUESTIONNAIRE

    E-Print Network [OSTI]

    Baker, Chris I.

    yesterday. 3 #12;7. Yesterday, did you eat beans such as pinto beans, baked beans, kidney beans, refried beans, or pork and beans? Do not count green beans. a. No, I didn't eat any beans yesterday. b. Yes, I ate beans 1 time yesterday. c. Yes, I ate beans 2 times yesterday. d. Yes, I ate beans 3 or more

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

    SciTech Connect (OSTI)

    Zimring, Mark; Fuller, Merrian

    2011-01-24T23:59:59.000Z

    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.

  7. Long Term Dynamics of Inequalities between French Households concerning Automobile COLLET, Roger; BOUCQ, Elise; MADRE, Jean-Loup; HIVERT, Laurent.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Long Term Dynamics of Inequalities between French Households concerning Automobile COLLET, Roger TERM DYNAMICS OF INEQUALITIES BETWEEN FRENCH HOUSEHOLDS CONCERNING AUTOMOBILE Roger Collet, INRETS of automobile. As the curves representing car ownership (number of cars per adult) and car use (annual mileage

  8. Assessing the Interaction between Real Estate and Equity in Households Portfolio Choice

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    that households taking positions in one asset (home or stock) encounter a positive position in the other asset considering their stock market participation and home tenure choices. There is already a huge body of literature on housing status (own/rent) decisions and many contributions doc- umented the low stock market

  9. Finding the creatures of habit; Clustering households based on their flexibility in using electricity

    E-Print Network [OSTI]

    Aickelin, Uwe

    electricity Ian Dent, Uwe Aickelin and Tom Rodden School of Computer Science University of Nottingham, UK, AB15 8QH tony.craig@hutton.ac.uk ABSTRACT Changes in the UK electricity market, particularly to change households' electricity usage patterns for the benefit of the overall sys- tem. Users show

  10. Applications of demand analysis for the dairy industry using household scanner data

    E-Print Network [OSTI]

    Stockton, Matthew C.

    2005-02-17T23:59:59.000Z

    of the represented cities. 9 Table 2. Percent of Households by Region Region Percent East 20.3 West 20.0 South 34.3 Central 25.3 The scanner information was collected by date of purchase and included only those panelist that purchased...

  11. Rice inventory credit in Madagascar : diversity of rural household strategies around an hybrid financial and

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Rice inventory credit in Madagascar : diversity of rural household strategies around an hybrid been offering an innovative individual rice inventory credit to its members since 1993. Starting from the acknowledgement that the inventory credit is a hybrid product, which involves a mix of in kind and in cash flows

  12. Journal: Ecological Applications1 Carbon, nitrogen, and phosphorus fluxes in household ecosystems in the3

    E-Print Network [OSTI]

    Minnesota, University of

    with several29 components of household activities including air and motor vehicle travel, food consumption,30 home energy use, landscape, pets, and paper and plastic use for 360 owner-occupied, stand-alone31 vehicle transportation, together with home energy use, accounted for 85% of total C33 consumption

  13. Energy Policy 30 (2002) 815826 Evaluating the health benefits of transitions in household energy

    E-Print Network [OSTI]

    Kammen, Daniel M.

    2002-01-01T23:59:59.000Z

    Energy Policy 30 (2002) 815­826 Evaluating the health benefits of transitions in household energy School of Public Policy and Energy and Resources Group (ERG), 310 Barrows Hall, University of California in disease from a range of interventions, including changes in energy technology (stove or fuel) and cooking

  14. DETERMINANTS OF HOUSEHOLD PARTICIPATION IN WATER SOURCE MANAGEMENT: ACHEFER, AMHARA REGION, ETHIOPIA

    E-Print Network [OSTI]

    Walter, M.Todd

    , ETHIOPIA A Thesis Presented to the Faculty of the Graduate School of Cornell University In Partial in Ethiopia are among the lowest in Sub-Saharan Africa. While governmental and non- governmental organizations out involving 16 water supply systems and 160 households within Achefer area, in Amhara, Ethiopia

  15. HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS

    E-Print Network [OSTI]

    the dynamic variation in wholesale energy costs. This can be accomplished by letting retail prices varyHOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS Ahmad Faruqui and Sanem Sergici1 November 13, 2008 Since the energy crisis disrupted markets

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

    E-Print Network [OSTI]

    Feigon, Brooke

    final energy prices (though those of monopoly inputs such as transmission and distribution remainReforming Household Energy Markets: Some Welfare Effects in the United Kingdom by Catherine Waddams Price Centre for Competition and Regulation and School of Management University of East Anglia, UK

  17. Derived Willingness-to-Pay for Household Water Use with Price and Probabilistic Supply

    E-Print Network [OSTI]

    Pasternack, Gregory B.

    a greater frequency of shortages in exchange for reduced water bills Howe and Smith 1994 . Relatively little, investments in water supply reliability enhancement can alter the frequency of all shortage levels soDerived Willingness-to-Pay for Household Water Use with Price and Probabilistic Supply Roberto

  18. Household Vehicle Ownership by Vehicle Type: Application of a Multivariate Negative Binomial Model

    E-Print Network [OSTI]

    Kockelman, Kara M.

    related to household size, income, population density (of zone of residence), and vehicle prices 1970's and early 1980's. Continual improvements in computation power permit more rigorous statistical to new energy issues and a focus on global warming policies, renewed consideration should be given

  19. Towards a Plan Library for Household Robots Armin Muller and Michael Beetz

    E-Print Network [OSTI]

    Cremers, Daniel

    Towards a Plan Library for Household Robots Armin M¨uller and Michael Beetz Intelligent Autonomous {muellear,beetz}@cs.tum.edu Abstract This paper describes the structure for a plan library of a ser- vice (M¨uller, Kirsch, & Beetz 2007). This paper is about writing general, robust default plans

  20. THE HOUSEHOLD AS SECURITY: STRATEGIES OF RURAL-URBAN MIGRANTS IN CHINA

    E-Print Network [OSTI]

    205 CHAPTER 11 THE HOUSEHOLD AS SECURITY: STRATEGIES OF RURAL-URBAN MIGRANTS IN CHINA C. Cindy Fan and lack of economic opportunities on their own. Agriculture faces an uncertain future, so do peasant work in urban industries and services, the sectors of the Chinese economy characterized by poorly paid

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

    E-Print Network [OSTI]

    Kockelman, Kara M.

    EVOLUTION OF THE HOUSEHOLD VEHICLE FLEET: ANTICIPATING FLEET COMPOSITION, PHEV ADOPTION AND GHG evolution, vehicle ownership, plug-in hybrid electric vehicles (PHEVs), climate change policy, stated preference, opinion survey, microsimulation ABSTRACT In todays world of volatile fuel prices and climate

  2. 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

  3. The relationship of time perspective to time allocation, recreation experience preferences, and wellness

    E-Print Network [OSTI]

    Shores, Kindal Alayne

    2006-10-30T23:59:59.000Z

    and recreation. Next, the relationship between an individual�s time perspective and the benefits they seek from recreation are identified. Using results from a selfadministered mail questionnaire, hypotheses about the benefits sought by adults with different...

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

    E-Print Network [OSTI]

    Finley, Dayna

    2012-07-11T23:59:59.000Z

    and household 7 goods. Differences in housing needs per confounding variables will be analyzed according to adjusted Census data by county for size. The data will be analyzed using SAS? and mapped using ARC GIS?. Hypothesis 1: Unmet housing renovation... of the variation in housing variables by geographical location overall and per disaster phase. The analyses were conducted using Excel and SAS. The mapping was done using ArcGIS and ArcInfo. 17 CHAPTER III RESULTS There were a...

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

    E-Print Network [OSTI]

    Baffrey, Robert Michael Nuval, 1977-

    2005-01-01T23:59:59.000Z

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

  6. An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has

    E-Print Network [OSTI]

    Relevance An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has shown that individuals who live in poverty have dietary intakes that are not in agreement

  7. A modified inflammatory bowel disease questionnaire and the Vaizey Incontinence questionnaire are more sensitive measures of acute gastrointestinal toxicity during pelvic radiotherapy than RTOG grading

    SciTech Connect (OSTI)

    Khalid, Usman [Department of Medicine, Royal Marsden Hospital, London and Surrey (United Kingdom); McGough, Camilla [Department of Medicine, Royal Marsden Hospital, London and Surrey (United Kingdom); Hackett, Claire [Department of Medicine, Royal Marsden Hospital, London and Surrey (United Kingdom); Blake, Peter [Department of Radiotherapy, Royal Marsden Hospital, London and Surrey (United Kingdom); Harrington, Kevin J. [Department of Radiotherapy, Royal Marsden Hospital, London and Surrey (United Kingdom); Khoo, Vincent S. [Department of Radiotherapy, Royal Marsden Hospital, London and Surrey (United Kingdom); Tait, Diana [Department of Radiotherapy, Royal Marsden Hospital, London and Surrey (United Kingdom); Norman, Andrew R. [Department of Computing, Royal Marsden Hospital, London and Surrey (United Kingdom); Andreyev, H. Jervoise N. [Department of Medicine, Royal Marsden Hospital, London and Surrey (United Kingdom)]. E-mail: j@andreyev.demon.co.uk

    2006-04-01T23:59:59.000Z

    Purpose: Simple scales with greater sensitivity than Radiation Therapy Oncology Group (RTOG) grading to detect acute gastrointestinal toxicity during pelvic radiotherapy, could be clinically useful. Methods and Materials: Do questionnaires used in benign gastrointestinal diseases detect toxicity in patients undergoing radiotherapy? The patient-completed Inflammatory Bowel Disease (IBDQ) and Vaizey Incontinence questionnaires were compared prospectively at baseline and at Week 5 to physician-completed RTOG grading. Results: A total of 107 patients, median age 63 years, were recruited. After 5 weeks of treatment, patients with gynecologic and gastrointestinal cancer were more symptomatic than urologic patients (p 0.012; p = 0.014). Overall, 94% had altered bowel habits, 80% loose stool, 74% frequency, 65% difficult gas, 60% pain, >48% distress, 44% tenesmus, >40% restrictions in daily activity, 39% urgency, 37% fecal incontinence, and 40% required antidiarrheal medication. The median RTOG score was 1 (range, 0-2), median IBDQ score 204.5 (range, 74-224), and median Vaizey score 5 (range, 0-20). Chemotherapy preceding radiotherapy increased fecal incontinence (p 0.002). RTOG scores stabilized after 3 weeks, IBDQ scores peaked at Week 4, and Vaizey scores worsened throughout treatment. IBDQ and Vaizey scores distinguished between groups with different RTOG scores. Conclusion: The IBDQ and Vaizey questionnaires are reliable and sensitive, offering greater insight into the severity and range of symptoms compared with RTOG grading.

  8. Banner/DSD Finance & Human Resources Security Access Questionnaire User Name (print): ____

    E-Print Network [OSTI]

    Pantaleone, Jim

    Banner/DSD Finance & Human Resources Security Access Questionnaire User Name (print): ____ First ____Temp____ Student Emp ____ ____ If this is your first Finance/Human Resources access request: To help training may be required for some access groups. _____ If this request is to update existing Finance

  9. Soil Sample Questionnaire --Field Crops Sample No. Field Identification Field Size acres

    E-Print Network [OSTI]

    Norton, Jay B.

    . Subsoil: (if known) sand gravel clay hardpan lime solid rock 7. Water penetration: rapid moderate slow soil questionnaire on the back of this sheet. Have soil tested at least once every rotation. 2. Sample of the hole and put it in a clean container. Repeat this procedure at 10 or 12 locations in the field. Mix

  10. Requirements for Commissioning HVAC Systems Using BEMS and Commissioning the BEMS Itself Based on Questionnaire Surveys 

    E-Print Network [OSTI]

    Yoshida, H.; Vaezi-Nejad, H.; Choiniere, D.; Wang, F.

    2004-01-01T23:59:59.000Z

    of the questionnaire and interview survey of experts which was carried out in four countries; Japan, the USA, France and Canada. This paper intends to clarify the requirements and future scope of the above issues by analyzing similarities and differences between...

  11. JOB REVIEW QUESTIONNAIRE Upon Completion, submit this form to Area Personnel Office

    E-Print Network [OSTI]

    Amin, S. Massoud

    JOB REVIEW QUESTIONNAIRE Upon Completion, submit this form to Area Personnel Office Do not write Period: Yes No NA New Starting Date in Class: Yes No NA (NA if Temporary Job) Notice # Effective Date to a higher job level No opinion Date ___/___/_____ Supervisor's Signature

  12. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh School football Highdefault SignInstitute / TexasA4. U.S. Vehicles

  13. Evaluation program effectiveness of household hazardous waste collection: The Seattle-King County experience

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    The Seattle-King County Hazardous Waste Management Plan provides the framework for an intensive effort to keep Household Hazardous and Small Quantity Generator (SQG) wastes from entering the ``normal`` municipal waste streams. The Plan sets ambitious goals for diverting thousands of tons of hazardous wastes from being thrown, poured or dumped in the municipal waste stream. During the first five years, over $30 millon will be spent for a variety of HHW and SQG programs. The Plan incorporates a wide range of elements, including education, collection, and compliance components. Many of the hazardous waste education and collection programs have been developed in response to the Plan, so their effectiveness is still undetermined. A key component of the Plan is program evaluation. This report provides descriptions of two evaluation methods used to establish baselines for assessing the effectiveness of the Hazardous Waste Management Plan`s programs. Focusing on the Plan`s household hazardous waste programs, the findings of the baseline evaluations are discussed and conclusions are made. A general population survey, conducted through telephone interviews, was designed to assess changes in knowledge, attitudes, and behaviors of area residents. Characterization of the solid waste stream was used to identify the hazardous constituents contributed to municipal solid waste by households. Monitoring changes in the amount of hazardous materials present in the waste stream was used to indicate whether or not Program strategies are influencing disposal behaviors. Comparing the data gathered by these two evaluation methods provided a unique opportunity to cross-check the findings and validate that change, if any, has occurred. From the comparisons, the report draws a number of conclusions.

  14. Evaluation program effectiveness of household hazardous waste collection: The Seattle-King County experience

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    The Seattle-King County Hazardous Waste Management Plan provides the framework for an intensive effort to keep Household Hazardous and Small Quantity Generator (SQG) wastes from entering the normal'' municipal waste streams. The Plan sets ambitious goals for diverting thousands of tons of hazardous wastes from being thrown, poured or dumped in the municipal waste stream. During the first five years, over $30 millon will be spent for a variety of HHW and SQG programs. The Plan incorporates a wide range of elements, including education, collection, and compliance components. Many of the hazardous waste education and collection programs have been developed in response to the Plan, so their effectiveness is still undetermined. A key component of the Plan is program evaluation. This report provides descriptions of two evaluation methods used to establish baselines for assessing the effectiveness of the Hazardous Waste Management Plan's programs. Focusing on the Plan's household hazardous waste programs, the findings of the baseline evaluations are discussed and conclusions are made. A general population survey, conducted through telephone interviews, was designed to assess changes in knowledge, attitudes, and behaviors of area residents. Characterization of the solid waste stream was used to identify the hazardous constituents contributed to municipal solid waste by households. Monitoring changes in the amount of hazardous materials present in the waste stream was used to indicate whether or not Program strategies are influencing disposal behaviors. Comparing the data gathered by these two evaluation methods provided a unique opportunity to cross-check the findings and validate that change, if any, has occurred. From the comparisons, the report draws a number of conclusions.

  15. WEEE and portable batteries in residual household waste: Quantification and characterisation of misplaced waste

    SciTech Connect (OSTI)

    Bigum, Marianne, E-mail: mkkb@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark); Petersen, Claus, E-mail: claus_petersen@econet.dk [Econet A/S, Strandboulevarden 122, 5, 2100 København Ø (Denmark); Christensen, Thomas H., E-mail: thho@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark); Scheutz, Charlotte, E-mail: chas@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark)

    2013-11-15T23:59:59.000Z

    Highlights: • We analyse 26.1 Mg of residual waste from 3129 Danish households. • We quantify and characterise misplaced WEEE and portable batteries. • We compare misplaced WEEE and batteries to collection through dedicated schemes. • Characterisation showed that primarily small WEEE and light sources are misplaced. • Significant amounts of misplaced batteries were discarded as built-in WEEE. - Abstract: A total of 26.1 Mg of residual waste from 3129 households in 12 Danish municipalities was analysed and revealed that 89.6 kg of Waste Electrical and Electronic Equipment (WEEE), 11 kg of batteries, 2.2 kg of toners and 16 kg of cables had been wrongfully discarded. This corresponds to a Danish household discarding 29 g of WEEE (7 items per year), 4 g of batteries (9 batteries per year), 1 g of toners and 7 g of unidentifiable cables on average per week, constituting 0.34% (w/w), 0.04% (w/w), 0.01% (w/w) and 0.09% (w/w), respectively, of residual waste. The study also found that misplaced WEEE and batteries in the residual waste constituted 16% and 39%, respectively, of what is being collected properly through the dedicated special waste collection schemes. This shows that a large amount of batteries are being discarded with the residual waste, whereas WEEE seems to be collected relatively successfully through the dedicated special waste collection schemes. Characterisation of the misplaced batteries showed that 20% (w/w) of the discarded batteries were discarded as part of WEEE (built-in). Primarily alkaline batteries, carbon zinc batteries and alkaline button cell batteries were found to be discarded with the residual household waste. Characterisation of WEEE showed that primarily small WEEE (WEEE directive categories 2, 5a, 6, 7 and 9) and light sources (WEEE directive category 5b) were misplaced. Electric tooth brushes, watches, clocks, headphones, flashlights, bicycle lights, and cables were items most frequently found. It is recommended that these findings are taken into account when designing new or improving existing special waste collection schemes. Improving the collection of WEEE is also recommended as one way to also improve the collection of batteries due to the large fraction of batteries found as built-in. The findings in this study were comparable to other western European studies, suggesting that the recommendations made in this study could apply to other western European countries as well.

  16. Experience with improved charcoal and wood stoves for households and institutions in Kenya

    SciTech Connect (OSTI)

    Hyman, E.L.

    1985-01-01T23:59:59.000Z

    Efforts at promoting more fuel-efficient charcoal stoves to replace traditional charcoal stoves in Kenya offer some lessons for the dissemination of appropriate technologies. This paper looks at the market-based approach which has made the Kenyan charcoal stoves project a success. Trends in woodfuels (wood and charcoal) consumption in Kenya are identified; the traditional technology for charcoal combustion and the upgraded traditional technologies are described; production achievement and the dissemination and promotion strategy used are examined; and a financial and economic analysis is performed with social, health and environmental effects assessed. Other ways to achieve a more favourable balance between woodfuels consumption and supply are then discussed looking at more efficient charcoal kilns and household woodstoves, improved institutional stoves and increased wood production. The replication potential of the Kenya experiment in other countries is also explored. The lessons learnt from the the Kenya experience concern the relationship between technology, choice and delivery systems as they interact with, economic, institutional, and policy factors. In this case, the design work accepted the traditional technology as a starting point which helped ensure widespread acceptance by households. The potential desirability of relying on local artisans to manufacture consumer durables using existing private sector channels to market these goods is also shown. It also highlights the importance of going beyond a laissez-faire approach and supporting training, demonstration, and publicity to faciliate the workings of the private sector. In the Kenyan case, technology choice was relatively unsubsidized and left ot the preferences of consumers.

  17. Measuring Pb bioavailability from household dusts using an in vitro model

    SciTech Connect (OSTI)

    Oliver, D.P.; McLaughlin, M.J.; Naidu, R.; Smith, L.H.; Maynard, E.J.; Calder, I.C.

    1999-12-15T23:59:59.000Z

    Despite an extensive cleanup program in the Port Pirie region, South Australia, the levels of lead (Pb) in blood of children have been found to exceed the level of concern (10 {micro}g/dL). The ingestion of household dust is a major pathway for elevated blood lead by children in the community. Significant differences in levels of Pb in blood in children were observed in various localities around the smelter. In this study an in vitro test was assessed as one method for determining the bioavailability of Pb in household dust and for predicting levels of Pb in blood of children. The solubility of Pb in the dust decreased significantly as pH of the in vitro mixture increased. Correlation studies with average blood Pb levels of children in the corresponding area and in vitro measures of Pb bioavailability found that the best relationship was with total dust Pb. A significant positive relationship was also found with Pb concentrations determined in the in vitro test at pH 3.0. This suggested that for these dust samples, which all had a similar environmental matrix, the use of the in vitro test was not a better indicator of blood Pb levels in children compared with a total Pb analysis.

  18. Recovery and separation of high-value plastics from discarded household appliances

    SciTech Connect (OSTI)

    Karvelas, D.E.; Jody, B.J.; Poykala, J.A. Jr.; Daniels, E.J. [Argonne National Lab., IL (United States). Energy Systems Div.; Arman, B. [Argonne National Lab., IL (United States). Energy Systems Div.]|[Praxair, Inc., Tarrytown, NY (United States)

    1996-03-01T23:59:59.000Z

    Argonne National Laboratory is conducting research to develop a cost- effective and environmentally acceptable process for the separation of high-value plastics from discarded household appliances. The process under development has separated individual high purity (greater than 99.5%) acrylonitrile-butadiene-styrene (ABS) and high- impact polystyrene (HIPS) from commingled plastics generated by appliance-shredding and metal-recovery operations. The process consists of size-reduction steps for the commingled plastics, followed by a series of gravity-separation techniques to separate plastic materials of different densities. Individual plastics of similar densities, such as ABS and HIPS, are further separated by using a chemical solution. By controlling the surface tension, the density, and the temperature of the chemical solution we are able to selectively float/separate plastics that have different surface energies. This separation technique has proven to be highly effective in recovering high-purity plastics materials from discarded household appliances. A conceptual design of a continuous process to recover high-value plastics from discarded appliances is also discussed. In addition to plastics separation research, Argonne National Laboratory is conducting research to develop cost-effective techniques for improving the mechanical properties of plastics recovered from appliances.

  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

    2010-01-01T23:59:59.000Z

    Mobile Electricity” Technologies, Early California Household Markets, and Innovation ManagementMobile Electricity” Technologies, Early California Household Markets, and Innovation Managementtechnology-management, and strategic-marketing lenses to the problem of commercializing H 2 FCVs, other EDVs, and other Mobile

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

    SciTech Connect (OSTI)

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

    2008-01-25T23:59:59.000Z

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

  1. 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

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

    E-Print Network [OSTI]

    in energy consumption. Patterns of Consumption--Historic Trends Electricity & Gas We'll start with historicChanging Trends: A Brief History of the US Household Consumption of Energy, Water, Food, Beverages analysis of consumption patterns of different commodities in the U.S. shed light on the consumption

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

    E-Print Network [OSTI]

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

  4. 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

  5. Workshop on Demand Response, Ballerup, 7. February 2006 www.risoe.dk Curtailment of Household Equipments A Danish Case Study

    E-Print Network [OSTI]

    Workshop on Demand Response, Ballerup, 7. February 2006 www.risoe.dk Curtailment of Household Frame · 189 Respondents · Power consumption: 5000 ­ 6000 kWh per year · No electrical heating · Products hours 3 hours 3 hours Question 9 Question 10 Question 13 Price(DKK/kWh) 0% 5% 10% 15% 20% 25% Response

  6. 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.

    1992-10-01T23:59:59.000Z

    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.

  7. Effect of questionnaire length, personalisation and reminder type on response rate to a complex postal survey: a randomised controlled trial

    E-Print Network [OSTI]

    Sahlqvist, Shannon; Song, Yena; Bull, Fiona; Adams, Emma; Preston, John; Ogilvie, David

    2011-05-06T23:59:59.000Z

    participants sampled from the UK edited electoral register were randomly allocated using a 2 × 2 factorial design to receive one of four survey packs: a personally addressed long (24 page) questionnaire pack, a personally addressed short (15 page...

  8. The development and application of a questionnaire designed to measure pre-existing, process, and outcome variables in the productivity measurement and enhancement

    E-Print Network [OSTI]

    Decuir, Arlette Desha

    1997-01-01T23:59:59.000Z

    The ProMES questionnaire was developed to assess individuals' experiences as they relate to the implementation of the Productivity Measurement and Enhancement System. The questionnaire, which resulted in a total of 30 subscales that assess...

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a. Housing Unit

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million0 Home

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million0 Home1

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million0 Home12

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million0

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million04 Space

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million04

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million047

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a.7 Million047HC6.9

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

    SciTech Connect (OSTI)

    Gent, Janneane F., E-mail: janneane.gent@yale.edu [Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, One Church Street, 6th Floor, New Haven, CT 06510 (United States); Kezik, Julie M., E-mail: julie.colburn@yale.edu [Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, One Church Street, 6th Floor, New Haven, CT 06510 (United States); Hill, Melissa E., E-mail: melissa.hill@yale.edu [Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, One Church Street, 6th Floor, New Haven, CT 06510 (United States); Tsai, Eling, E-mail: tsai.umiami@gmail.com [Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, One Church Street, 6th Floor, New Haven, CT 06510 (United States)] [Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, One Church Street, 6th Floor, New Haven, CT 06510 (United States); Li, De-Wei, E-mail: DeWei.Li@ct.gov [Connecticut Agricultural Experiment Station, Valley Laboratory, 153 Cook Hill Road, Windsor, CT 06095 (United States)] [Connecticut Agricultural Experiment Station, Valley Laboratory, 153 Cook Hill Road, Windsor, CT 06095 (United States); Leaderer, Brian P., E-mail: brian.leaderer@yale.edu [Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Department of Epidemiology and Public Health, Yale University School of Medicine, One Church Street, 6th Floor, New Haven, CT 06510 (United States)

    2012-10-15T23:59:59.000Z

    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.

  19. Amlioration des proprits de mesure d'un questionnaire de satisfaction des patients hospitaliss : application d'un modle de mesure variable latente centrale

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , le ministère a choisi le questionnaire Saphora- MCO, validé [Pourin 2003], dont la faisabilité en est un processus essentiel et continu. Le questionnaire Saphora-MCO est un questionnaire générique de satisfaction des patients hospitalisés en MCO, validé. Depuis sa création en 1997, quelques modifications ont

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

    SciTech Connect (OSTI)

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

    2012-01-01T23:59:59.000Z

    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.

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

    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)

    2012-07-15T23:59:59.000Z

    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.

  2. 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)

    2013-01-15T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Jacobsen, R., E-mail: ray.jacobsen@ugent.be [Department of Agricultural Economics, Ghent University, Coupure Links 653, B-9000 Ghent (Belgium); Buysse, J., E-mail: j.buysse@ugent.be [Department of Agricultural Economics, Ghent University, Coupure Links 653, B-9000 Ghent (Belgium); Gellynck, X., E-mail: xavier.gellynck@ugent.be [Department of Agricultural Economics, Ghent University, Coupure Links 653, B-9000 Ghent (Belgium)

    2013-01-15T23:59:59.000Z

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

  4. 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

    2013-01-01T23:59:59.000Z

    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 ...

  5. 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)

    2006-01-01T23:59:59.000Z

    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 ...

  6. 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

    2007-01-01T23:59:59.000Z

    Mobile Electricity” Technologies, Early California Household Markets, and Innovation Managementtechnology-management, and strategic-marketing lenses to the problem of commercializing H 2 FCVs, other EDVs, and other Mobile

  7. 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

    2013-01-01T23:59:59.000Z

    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 ...

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

    SciTech Connect (OSTI)

    Bernstad, A., E-mail: anna.bernstad@chemeng.lth.se [Department of Chemical Engineering, Box 124, Faculty of Engineering (LTH), Lund University, S-221 00 Lund (Sweden); Cour Jansen, J. la [Department of Chemical Engineering, Box 124, Faculty of Engineering (LTH), Lund University, S-221 00 Lund (Sweden)

    2011-08-15T23:59:59.000Z

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

  9. Physics 110x (Algebra-Based) Questionnaire Page 1 1. Is this course required for your students?

    E-Print Network [OSTI]

    Minnesota, University of

    Physics 110x (Algebra-Based) Questionnaire Page 1 1. Is this course required for your students? 2 to take this physics course? 3. How many quarters of physics do you think should be required for your the basic principles behind all physics (e.g. forces, conservation of energy, ...) 1 2 3 4 5 Know the range

  10. UCSC For-Sale Housing Questionnaire (2013-2014) Colleges, Housing and Educational Services (CHES) Phone: (831) 458-3506

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    UCSC For-Sale Housing Questionnaire (2013-2014) Colleges, Housing and Educational Services (CHES) Phone: (831) 458-3506 Faculty and Staff Housing Office Fax: (831) 458-1937 Hagar Court Community Room Email: facultyhousing@ucsc.edu Santa Cruz, CA 95064 Mailstop: Faculty Housing Rev. 7

  11. Paradoxical increase of positive answers to the CAGE questionnaire during a period of decreasing alcohol consumption: results from two population-

    E-Print Network [OSTI]

    Boyer, Edmond

    first worldwide until 1983, in per capita yearly alcohol intake, and stayed in the top 6 countries since alcohol consumption: results from two population- based surveys in Île-de-France, 1991 and 2005. Short questionnaire during a period of decreasing alcohol consumption: results from two population- based surveys

  12. JOB EVALUATION QUESTIONNAIRE (JEQ) This form is reusable. Write answers on the JEQ Answer Sheet (BA Form 803).

    E-Print Network [OSTI]

    Amin, S. Massoud

    JOB EVALUATION QUESTIONNAIRE (JEQ) This form is reusable. Write answers on the JEQ Answer Sheet (BA, they provide a more precise measure of a job's requirements than a few general questions do. 2. Use black ink or type when completing the Answer Sheet (BA Form 803) 3. Write a brief description of what the job

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

    E-Print Network [OSTI]

    Durand-Daubin, Mathieu

    2013-01-01T23:59:59.000Z

    result brings more evidence of the diaries relevance to understand electricity time of use,results show an overall consistency of the three tools regarding the measurement of the intensity and time of use

  14. PREFERENCE QUESTIONNAIRE This year, the REU is trying something new: graduate student volunteers will

    E-Print Network [OSTI]

    May, J. Peter

    time obligations, the groups will be split according to which program students are in (Apprentice, YSP, Sesame). Students in the Apprentice program are expected to attend Block 1 and students in YSP

  15. 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

    2012-10-19T23:59:59.000Z

    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. Household food availability is a...

  16. Estimating the impact of the 'digital switchover' on disposal of WEEE at household waste recycling centres in England

    SciTech Connect (OSTI)

    Ongondo, F.O. [School of Civil Engineering and the Environment, University of Southampton, Lanchester Building, University Rd., Highfield, Southampton, Hampshire SO17 1BJ (United Kingdom); Williams, I.D., E-mail: idw@soton.ac.uk [School of Civil Engineering and the Environment, University of Southampton, Lanchester Building, University Rd., Highfield, Southampton, Hampshire SO17 1BJ (United Kingdom); Keynes, S. [School of Civil Engineering and the Environment, University of Southampton, Lanchester Building, University Rd., Highfield, Southampton, Hampshire SO17 1BJ (United Kingdom)

    2011-04-15T23:59:59.000Z

    Using Hampshire County Council (HCC) as a case study, this paper evaluates and discusses the estimated impacts of the so-called digital switchover (DSO) (scheduled for 2012 in Hampshire) on Household Waste Recycling Centres (HWRCs) in England and the UK. Two public surveys of Hampshire residents were used to collect data on their preparedness for and awareness of the switchover and its implications. The survey also sought to establish the quantities of televisions (TVs) and TV related devices that are ready for the DSO. The quantities of TV and related devices that are likely to be disposed via HCC's collection network have been established and compared to the County's current handling capacities for waste electronic and electrical equipment (WEEE). Best and worst case potential net disposal scenarios have been established and the latter compared to Government projections. In addition, the potential environmental, logistical, financial and legal impacts of the WEEE arising as a consequence of the switchover have been identified and discussed. The results indicate that the majority of TVs both in Hampshire and the UK are digital ready and that awareness of the switchover is high. In contrast, most recording devices in Hampshire are not ready for the DSO. Awareness of the timeframe of the event remains modest however and about half of Hampshire households were not aware that TV recording devices will be affected by the switchover. A significant proportion of waste TVs and related equipment would be taken to HWRCs in contrast to smaller items such as remote controls that would more likely be disposed with normal household waste. Projected figures for the DSO year show that if Hampshire maintained its current collection capacity for WEEE it would experience a handling shortfall of around {approx}100 K for TVs and recording devices, respectively. The most important finding of the study is that the UK Government may have substantially underestimated the quantities of TV and related devices that will be disposed during the switchover. The potential impacts for local and national WEEE management have been discussed. The paper concludes by making recommendations to address identified issues.

  17. 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)

    2012-05-15T23:59:59.000Z

    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.

  18. The pathway to diagnosis of type 1 diabetes in children: a questionnaire study

    E-Print Network [OSTI]

    Usher-Smith, Juliet A.; Thompson, Matthew J.; Zhu, Hannah; Sharp, Stephen J.; Walter, Fiona M.

    2015-01-01T23:59:59.000Z

    with an increased hazard (i.e. hazard ratio greater than 1), this implied that that factor was associated with a shorter time to diagnosis, and vice versa. Time to diagnosis was from the date of the earliest symptom to the date of diagnosis, and the factors... presentation among women from different ethnic groups in East London. Br J Cancer 2011;105:1474–9. 32 Forbes LJL, Simon AE, Warburton F, et al. Differences in cancer awareness and beliefs between Australia, Canada, Denmark, Norway, Sweden and the UK (the...

  19. 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

    electricity from household and industrial waste as a newly-generated power supply has come online, its average cost per watt would be about half the price of electricity produced by other plants with the national electricity grid. On Wednesday, August 3, the Ho Chi Minh City Urban Environment Management

  20. Hanford Site Beryllium Questionnaire Affected Worker Questionnaire

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cn SunnybankD.jpgHanford LEED&soil Hanford Traffic Safety

  1. Entropic Time

    SciTech Connect (OSTI)

    Caticha, Ariel [Department of Physics, University at Albany-SUNY, Albany, NY 12222 (United States)

    2011-03-14T23:59:59.000Z

    The formulation of quantum mechanics within the framework of entropic dynamics includes several new elements. In this paper we concentrate on one of them: the implications for the theory of time. Entropic time is introduced as a book-keeping device to keep track of the accumulation of changes. One new feature is that, unlike other concepts of time appearing in the so-called fundamental laws of physics, entropic time incorporates a natural distinction between past and future.

  2. EIA - Household Transportation report: Household Vehicles Energy

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877 951,322 1,381,127byFormsConsumption 1994 4

  3. Cross-cultural adaptation of a tobacco questionnaire for Punjabi, Cantonese, Urdu and Sylheti speakers: qualitative research for better clinical practice, cessation services and research. 

    E-Print Network [OSTI]

    Hanna, L; Hunt, S; Bhopal, Raj

    2006-12-01T23:59:59.000Z

    Objective: To develop cross-culturally valid and comparable questionnaires for use in clinical practice, tobacco cessation services and multiethnic surveys on tobacco use. Methods: Key questions in Urdu, Cantonese, Punjabi ...

  4. Brose LS, Menon G, Dawczynski J and Bradley C (2010) Development of the Eye Treatment Satisfaction Questionnaire: EyeTSQ. 2010 International Society for Quality of Life Research

    E-Print Network [OSTI]

    Royal Holloway, University of London

    2010-01-01T23:59:59.000Z

    Brose LS, Menon G, Dawczynski J and Bradley C (2010) Development of the Eye Treatment Satisfaction. DEVELOPMENT OF THE EYE TREATMENT SATISFACTION QUESTIONNAIRE: EYETSQ Leonie S. Brose, Psychology, Royal

  5. Please send this form with a job description questionnaire (JDQ) and organization chart of your area to lorid@brandeis.edu. If you have any questions, call Lori Dougherty at 781-736-3653. Thank you.

    E-Print Network [OSTI]

    Snider, Barry B.

    Please send this form with a job description questionnaire (JDQ) and organization chart of your. Please send this form with a job description questionnaire (JDQ) and organization chart of your area

  6. Performance Evaluation of A Household Refrigerator Using Cuo Nanoparticle Lubricant Mixture and Various Other Compressor Oils with Different Condenser Modes

    E-Print Network [OSTI]

    Sreejith. K

    Abstract:- The objective of this paper was to study the performance of household refrigerator having both air and water-cooled condenser, with 0.06 % mass fraction CuO nanoparticle-lubricant mixture and different types of compressor oils. The experiment was done using HFC134a as the refrigerant, CuO nanoparticles, Polyol-ester oil (POE) oil which is used as the conventional lubricant in the household refrigerator and SUNISO 3GS mineral oil as the lubricant alternatively. The result indicates that the refrigerator performance had improved while using CuO nanoparticle-lubricant mixture. The performance was also improved when HFC134a/SUNISO 3GS mineral oil system was used instead of HFC134a/POE oil system and there was also an enhancement when water-cooled condenser was used instead of the conventional air-cooled condenser on all load conditions. The HFC134a/CuO/SUNISO 3GS mineral oil system works normally and safely in the refrigerator. HFC134a/CuO/SUNISO 3GS mineral oil system reduced the energy consumption between 12 % and 19 % when compared with the HFC134a/POE oil system and between 9 % and 14 % while working with water-cooled condenser on various load conditions. There was also an enhancement in coefficient of performance (COP) when CuO nanoparticle-lubricant mixture was used instead of POE oil as the lubricant. The water cooled heat exchanger was designed and the system was modified by retrofitting it, along with the conventional air-cooled condenser by making a bypass line and thus the system can be utilized as a waste heat recovery unit. Experimental result shows that about 200 litres of hot water at a temperature of about 58ºC over a day can be generated. Techno economic analysis shows that the installation cost and running cost of the waste heat recovery system for a day is much lower than that of a conventional

  7. Childhood lead poisoning near abandoned lead mining and smelting areas: A case study of two affected households

    SciTech Connect (OSTI)

    Moehr, A.D. (Jasper County Health Dept., Webb City, MO (United States)); Roberts, D.W.; Phillips, P.E.; Evans, R.G.

    1993-10-01T23:59:59.000Z

    In October, 1990 the Missouri Dept. of Health entered a contract with the Agency for Toxic Substances and Disease Registry (ATSDR) to conduct an exposure study at the Jasper County, Missouri Superfund Site. The primary concern was exposure to elevated levels of lead and cadmium resulting from previous mining of lead and zinc in the area. Several individuals were found to have elevated lead levels and this article is a case study of two households where children with elevated levels resided. Due to the lowering of the Centers for Disease Control and Prevention (CDC) standard for a level of concern in childhood lead poisoning from 25 [mu]g/dl to 10 [mu]g/dl, many environmental heath personnel may be requested to evaluate exposure routes and give advice regarding risk reduction to families who reside in areas not previously thought to be problematic. Accomplishing this risk reduction may require passage of local ordinances requiring lead abatement, additional training of field personnel, and cooperative work with other public and governmental entities.

  8. Characterizing Walk Trips in communities by Using Data from 2009 National Household Travel Survey, American Community Survey, and Other Sources

    SciTech Connect (OSTI)

    Hwang, Ho-Ling [ORNL] [ORNL; Reuscher, Tim [Macrosys] [Macrosys; Wilson, Daniel W [ORNL] [ORNL; Murakami, Elaine [FHWA USDOT] [FHWA USDOT

    2013-01-01T23:59:59.000Z

    Non-motorized travel (i.e. walking and bicycling) are of increasing interest to the transportation profession, especially in context with energy consumption, reducing vehicular congestion, urban development patterns, and promotion of healthier life styles. This research project aimed to identify factors impacting the amount of travel for both walk and bike trips at the Census block group or tract level, using several public and private data sources. The key survey of travel behavior is the 2009 National Household Travel Survey (NHTS) which had over 87,000 walk trips for persons 16 and over, and over 6000 bike trips for persons 16 and over. The NHTS, in conjunction with the Census Bureau s American Community Survey, street density measures using Census Bureau TIGER, WalkScore , Nielsen Claritas employment estimates, and several other sources were used for this study. Stepwise Logistic Regression modeling techniques as well as Discriminant Analysis were applied using the integrated data set. While the models performed reasonably well for walk trips, travel by bike was abandoned due to sparseness of data. This paper discusses data sources utilized and modeling processes conducted under this study. It also presents a summary of findings and addresses data challenges and lesson-learned from this research effort.

  9. Indoor Secondary Pollutants from Household Product Emissions inthe Presence of Ozone: A Bench-Scale Chamber Study

    SciTech Connect (OSTI)

    Destaillats, Hugo; Lunden, Melissa M.; Singer, Brett C.; Coleman,Beverly K.; Hodgson, Alfred T.; Weschler, Charles J.; Nazaroff, William W.

    2005-10-01T23:59:59.000Z

    Ozone-driven chemistry is a major source of indoor secondary pollutants of health concern. This study investigates secondary air pollutants formed from reactions between constituents of household products and ozone. Gas-phase product emissions were introduced along with ozone at constant rates into a 198-L Teflon-lined reaction chamber. Gas-phase concentrations of reactive terpenoids and oxidation products were measured. Formaldehyde was a predominant oxidation byproduct for the three studied products, with yields under most conditions of 20-30% with respect to ozone consumed. Acetaldehyde, acetone, glycolaldehyde, formic acid and acetic acid were each also detected for two or three of the products. Immediately upon mixing of reactants, a scanning mobility particle sizer detected particle nucleation events that were followed by a significant degree of ultrafine particle growth. The production of secondary gaseous pollutants and particles depended primarily on the ozone level and was influenced by other parameters such as the air-exchange rate. Hydroxyl radical concentrations in the range 0.04-200 x 10{sup 5} molecules cm{sup -3} were measured. OH concentrations were observed to vary strongly with residual ozone level in the chamber, which was in the range 1-25 ppb, as is consistent with expectations from a simplified kinetic model. In a separate test, we exposed the dry residue of two products to ozone in the chamber and observed the formation of gas-phase and particle-phase secondary oxidation products.

  10. Housing Diversity and Consolidation in Low-Income Colonias: Patterns of House Form and Household Arrangements in Colonias of the US-Mexico Border

    E-Print Network [OSTI]

    Reimers-Arias, Carlos Alberto

    2010-10-12T23:59:59.000Z

    Housing Diversity and Consolidation in Low-Income Colonias: Patterns of House Form and Household Arrangements in Colonias of the US-Mexico Border. (August 2009) Carlos Alberto Reimers-Arias, B.Arch., Universidad Sim?n Bol?var; M.Arch., Mc... of DOCTOR OF PHILOSOPHY Approved by: Co-Chairs of Committee, Andrew D. Seidel Robin F. Abrams Committee Members, Marlynn L. May Robert B. Warden Head of Department, Glen T. Mills August 2009 Major Subject: Architecture iii ABSTRACT...

  11. On achieving the state's household recycling target: A case study of Northern New Jersey, USA

    SciTech Connect (OSTI)

    Otegbeye, M.; Abdel-Malek, L. [Department of Industrial and Management Systems Engineering, New Jersey Institute of Technology, Newark, NJ 07102 (United States); Hsieh, H.N. [Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102 (United States); Meegoda, J.N. [Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102 (United States)], E-mail: meegoda@njit.edu

    2009-02-15T23:59:59.000Z

    In recent times, the State of New Jersey (USA) has been making attempts at promoting recycling as an environmentally friendly means of attaining self-sufficiency at waste disposal, and the state has put in place a 50% recycling target for its municipal solid waste stream. While the environmental benefits of recycling are obvious, a recycling program must be cost effective to ensure its long-term sustainability. In this paper, a linear programming model is developed to examine the current state of recycling in selected counties in Northern New Jersey and assess the needs to achieve the state's recycling goal in these areas. The optimum quantities of waste to be sent to the different waste facilities, which include landfills, incinerators, transfer stations, recycling and composting plants, are determined by the model. The study shows that for these counties, the gap between the current waste practices where the recycling rate stands at 32% and the state's goal can be bridged by more efficient utilization of existing facilities and reasonable investment in expanding those for recycling activities.

  12. Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey

    E-Print Network [OSTI]

    Martin, Adam; Goryakin, Yevgeniy; Suhrcke, Marc

    2014-08-23T23:59:59.000Z

    -invariant and correlated with observed explanatory variables); ? and ? were the coefficients, and uit was the error term (assumed to be independent, identically distributed). Sensitivity analyses explored the impact of excluding groups of individuals with the shortest... .004 (0.066) Commuting time-active travel Time × walk 0.008? (0.042) Time × bike ?0.001 (0.827) Commuting time-public transport Time × train 0.003 (0.124) Time × bus/coach 0.003 (0.160) Commuting time-car Time × car ?0.003? (0.040) Observations 109,169 96...

  13. QUESTIONNAIRE Anne Landfield Greig

    E-Print Network [OSTI]

    recycling and waste management. An analysis that excludes any that is standardized by the International Standards Organization (ISO).1 The approach is based

  14. Electronic Recordkeeping System Questionnaire

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

    (EIS) or enhancements to existing EISes. OMB Circular A-130 requires incorporating of records management and archival functions into the design, development, and implementation...

  15. Potential Licensee Questionnaire

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

    management and operating (M&O) contractor for the Department of Energy's (DOE's) Oak Ridge National Laboratory in Oak Ridge, Tennessee. In its capacity as an M&O contractor,...

  16. Electronic Recordkeeping System Questionnaire

    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 onYouTube YouTube Note: Since the YouTube|6721 Federal Register / Vol.6:Energy|Electrifying YourElectronic Docket

  17. EERE Environmental Questionnaire

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJulySavannah RiverSustainability |Innovations inP a g e 01/2011

  18. Potential Licensee Questionnaire

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah Project Office PressPostdoctoraldecadal7 Estimated Award6,Atom of

  19. NEPA Lessons Learned Questionnaire

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagement of theTechno-economicOctober 2013 -DepartmentLessons Learned

  20. HANFORD SITE BERYLLIUM QUESTIONNAIRE

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.NewofGeothermal Heaton Armed-MTBEJobs in computing 1

  1. QA QC Questionnaire

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70COMMUNITY AEROSOL: ShalePutting veteransQ&A87QA/QC

  2. Time Off

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis ofwas publishedThree scientistsDepartmentTime Off

  3. Keeping Household Records. 

    E-Print Network [OSTI]

    McCormack, Linda

    1983-01-01T23:59:59.000Z

    transactiwl or enable you to GtbgCk MI others' * prove your ownership of property e define your fegal and financial rights ease management of your home and financi fairs Many papers could and should be di Don't become a junk collector, but don't th... valuable papers either. Know what family r keep where and why. Papers to Keep in Your Home File Certain important papers and records need to refer to or update often are best kept Store them in a &%, convenient @ace. A home business center will help...

  4. Managing Household Ant Pests

    E-Print Network [OSTI]

    Drees, Bastiaan M.

    2005-12-02T23:59:59.000Z

    can tolerate the stings, but some people are very sensitive to fire ant venom and must seek medical attention. Foraging workers may enter a house in search of food, moisture or nesting sites, particularly during hot, dry periods or during floods... System become queen ants in new colonies. They may choose indoor nesting sites if suitable ones are not available outdoors. When she ?nds a nesting site, the queen loses her wings and begins to lay eggs, which hatch into legless, grub-like larvae...

  5. Essays on household finance

    E-Print Network [OSTI]

    Ferman, Bruno

    2012-01-01T23:59:59.000Z

    This dissertation consists of three essays. The first chapter studies whether credit demand is sensitive to interest rates, to the prominence of interest rate disclosure, and to nudges. Consumer credit regulations usually ...

  6. Keeping Household Records.

    E-Print Network [OSTI]

    McCormack, Linda

    1983-01-01T23:59:59.000Z

    . Keep these while you own the ve the vehicle is stolen, the title is evidence of ship. Church records Baptismal and confirmat tificates are acceptable evidence of your bi when obtaining a delayed birth certificate. may be kept in home files. re..., allergies, diseases and immunizations for 4 all family members. Also record place and date of birth, doctors, medications and blood type. Insurance pblicies Keep these at home for con- venient referral about your coverage. Tax returns Keep...

  7. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesisAppliancesTrending:Schedule FYHousehold Magnets

  8. Introductory Physics Questionnaire Page 1 1. In your opinion, what is the primary reason your department requires students to take this physics course?

    E-Print Network [OSTI]

    Minnesota, University of

    Introductory Physics Questionnaire Page 1 1. In your opinion, what is the primary reason your department requires students to take this physics course? 2. In what year should your students take physics? Freshman Sophomore Junior Senior 3. How many semesters of physics do you think should be required for your

  9. Export Control Form I-129 Questionnaire As set forth in the Compliance with Export Control Regulations guidance of January 17, 2012, Form I-129

    E-Print Network [OSTI]

    Rosen, Jay

    Export Control Form I-129 Questionnaire As set forth in the Compliance with Export Control) will have access to certain types of advanced technology but that CUNY will obtain an export license prior in severe monetary penalties, revocation of export privileges, debarment from federal funding, and civil

  10. On-Line Informed Consent Template The following is a template for informed consent of an on-line survey or questionnaire. It

    E-Print Network [OSTI]

    Gering, Jon C.

    -line survey or questionnaire. It is only a template and should be revised to specifically represent your studyOn-Line Informed Consent Template The following is a template for informed consent of an on in Art History' for example]. You will be asked to [complete this survey, respond to 5 prompts, etc

  11. Liking and wanting of drug and nondrug rewards in active cocaine users: the STRAP-R questionnaire

    SciTech Connect (OSTI)

    Goldstein, R.Z.; Goldstein, R.Z.; Woicik, P.A..; Moeller, S.J.; Telang, F.; Jayne, M.; Wong, C.; Wang, G-J.; Fowler, J.S.; Volkow, N.D.

    2008-10-01T23:59:59.000Z

    Few studies have examined the subjective value attributed to drug rewards specifically as it compares with the value attributed to primary non-drug rewards in addicted individuals. The objective of this study is to assess liking and wanting of expected drug rewards as compared to food and sex while respondents report about three different situations (current, and hypothetical in general, and under drug influence). In all, 20 cocaine-addicted individuals (mean abstinence = 2 days) and 20 healthy control subjects were administered the STRAP-R (Sensitivity To Reinforcement of Addictive and other Primary Rewards) questionnaire after receiving an oral dose of the dopamine agonist methylphenidate (20 mg) or placebo. The reinforcers relative value changed within the addicted sample when reporting about the under drug influence situation (drug > food; otherwise, drug < food). This change was highest in the addicted individuals with the youngest age of cocaine use onset. Moreover, drug wanting exceeded drug liking in the addicted subjects when reporting about this situation during methylphenidate. Thus, cocaine-addicted individuals assign the highest subjective valence to drug rewards but only when recalling cue-related situations. When recalling this situation, they also report higher drug wanting than hedonic liking, a motivational shift that was only significant during methylphenidate. Together, these valence shifts may underlie compulsive stimulant abuse upon pharmacological or behavioural cue exposure in addicted individuals. Additional studies are required to assess the reliability of the STRAP-R in larger samples and to examine its validity in measuring the subjective value attributed to experienced reinforcers or in predicting behaviour.

  12. Flexible Demand Management under Time-Varying Prices

    E-Print Network [OSTI]

    Liang, Yong

    2012-01-01T23:59:59.000Z

    power of each appli- ance in a household is listed in Table 2.2 and the hourly aggregate load profile

  13. As you know, water costs continue to rise, but you can do something to help yourself. Households can check their plumbing fixtures and irrigation systems for leaks. This checklist will

    E-Print Network [OSTI]

    . Households can check their plumbing fixtures and irrigation systems for leaks. This checklist will help you a certification program focused on water efficiency to ensure that your in-ground irrigation system is not leaking tape and a wrench. 8. Consult with an irrigation installer (WaterSense partner) who has passed

  14. Evaluation of the Indian Migration Study Physical Activity Questionnaire (IMS-PAQ): a cross-sectional study

    E-Print Network [OSTI]

    Sullivan, Ruth; Kinra, Sanjay; Ekelund, Ulf; Av, Bharathi; Vaz, Mario; Kurpad, Anura; Collier, Tim; Srinath Reddy, K; Prabhakaran, Dorairaj; Ebrahim, Shah; Kuper, Hannah

    2012-02-09T23:59:59.000Z

    .8 (4.5) 24.1 (4.4) 24.1 (4.3) Percent Body Fat2 26.9 (8.2) 27.8 (7.9) 25.8 (7.2) Blood Pressure3, Mean (SD) Systolic (mm Hg)3 122.2 (17.3) 125.2 (18.4) 124.5 (15.6) Diastolic (mm Hg)3 77.9 (11.0) 79.6 (11.2) 79.2 (10.8) Prevalence Diabetes % (SD)4 9.9... BMI and percent body fat, after adjusting for potential confounders. Individuals in the highest tertile of self-reported sedentary time had an increased BMI of 0.64 kg/m2 (95% CI 0.29 to 0.99; P < 0.001) and increased percent body fat 1.38% (95% CI 0...

  15. Beyond the Price Effect in Time-of-Use Programs: Results from a Municipal Utility Pilot, 2007-2008

    SciTech Connect (OSTI)

    Lutzenhiser, Susan; Peters, Jane; Moezzi, Mithra; Woods, James

    2009-08-12T23:59:59.000Z

    This paper discusses results of a two-year collaborative research project between the authors and the Demand Response Research Center focused on behavioral response to a voluntary time-of-use pilot rate offered by the Sacramento Municipal Utilities District (SMUD) under the PowerChoice label. The project had two purposes: one was to assess the potential for increasing demand response through the introduction of enhanced information and real-time consumption feedback; the second was to better understand behavioral response to a TOU rate. Three successive waves of telephone surveys collected details about reasons for participation, actions taken, capacities and constraints to altering behavior, and a range of salient conditions, such as demographics and dwelling characteristics. Pre- and post-program interval meter data for participants and a comparison sample of households were also collected and analyzed to consider initial and season-change price effects of the rate and the effect of supplemental information treatments on response. Over half of surveyed participating households reported that they had made a great deal of effort to adjust their electricity consumption to the rate. Despite this, load data analysis revealed only minimal price effects; and, though households subjected to information treatments seemed to have learned from these treatments, load data analysis again detected only minimal effects on load. Given the currently high hopes for behavioral intervention and residential TOU rates, these unexpected results require explanation. We suggest a number of possibilities and discuss some implications for TOU programs, and for understanding demand response behavior and approaches to experiments with TOU rates.

  16. Home composting as an alternative treatment option for organic household waste in Denmark: An environmental assessment using life cycle assessment-modelling

    SciTech Connect (OSTI)

    Andersen, J.K.; Boldrin, A.; Christensen, T.H. [Department of Environmental Engineering, Technical University of Denmark, DK-2800 Kongens Lyngby (Denmark); Scheutz, C., E-mail: chas@env.dtu.dk [Department of Environmental Engineering, Technical University of Denmark, DK-2800 Kongens Lyngby (Denmark)

    2012-01-15T23:59:59.000Z

    An environmental assessment of the management of organic household waste (OHW) was performed from a life cycle perspective by means of the waste-life cycle assessment (LCA) model EASEWASTE. The focus was on home composting of OHW in Denmark and six different home composting units (with different input and different mixing frequencies) were modelled. In addition, incineration and landfilling was modelled as alternatives to home composting. The most important processes contributing to the environmental impact of home composting were identified as greenhouse gas (GHG) emissions (load) and the avoided emissions in relation to the substitution of fertiliser and peat when compost was used in hobby gardening (saving). The replacement of fertiliser and peat was also identified as one of the most sensible parameters, which could potentially have a significant environmental benefit. Many of the impact categories (especially human toxicity via water (HTw) and soil (HTs)) were affected by the heavy metal contents of the incoming OHW. The concentrations of heavy metals in the compost were below the threshold values for compost used on land and were thus not considered to constitute a problem. The GHG emissions were, on the other hand, dependent on the management of the composting units. The frequently mixed composting units had the highest GHG emissions. The environmental profiles of the home composting scenarios were in the order of -2 to 16 milli person equivalents (mPE) Mg{sup -1} wet waste (ww) for the non-toxic categories and -0.9 to 28 mPE Mg{sup -1} ww for the toxic categories. Home composting performed better than or as good as incineration and landfilling in several of the potential impact categories. One exception was the global warming (GW) category, in which incineration performed better due to the substitution of heat and electricity based on fossil fuels.

  17. Cloud Service Security Requirements Questionnaire ...

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

    consists of the categories of information listed below. Check all that apply: OUO RSI PII UCNI ECI LPI AT NNPI A list of definitions and acronyms can be found at this link:...

  18. Lightweight Time Modeling in Timed Creol

    E-Print Network [OSTI]

    Bjørk, Joakim; Owe, Olaf; Schlatte, Rudolf; 10.4204/EPTCS.36.4

    2010-01-01T23:59:59.000Z

    Creol is an object-oriented modeling language in which inherently concurrent objects exchange asynchronous method calls. The operational semantics of Creol is written in an actor-based style, formulated in rewriting logic. The operational semantics yields a language interpreter in the Maude system, which can be used to analyze models. Recently, Creol has been applied to the modeling of systems with radio communication, such as sensor systems. With radio communication, messages expire and, if sent simultaneously, they may collide in the air. In order to capture these and other properties of distributed systems, we extended Creol's operational semantics with a notion of time. We exploit the framework of a language interpreter to use a lightweight notion of time, in contrast to that needed for a general purpose specification language. This paper presents a timed extension of Creol, including the semantics and the implementation strategy, and discusses its properties using an extended example. The approach can be...

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877 951,322 1,381,127byFormsConsumption 1994

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

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321Spain (Million Cubic 1. Introduction4.

  1. Noncommutative Two Time Physics

    E-Print Network [OSTI]

    W. Chagas-Filho

    2006-05-10T23:59:59.000Z

    We present a classical formalism describing two-time physics with Abelian canonical gauge field backgrounds. The formalism can be used as a starting point for the construction of an interacting quantized two-time physics theory in a noncommutative soace-time.

  2. Quantum Operation Time Reversal

    SciTech Connect (OSTI)

    Crooks, Gavin E.

    2008-03-25T23:59:59.000Z

    The dynamics of an open quantum system can be described by a quantum operation: A linear, complete positive map of operators. Here, I exhibit a compact expression for the time reversal of a quantum operation, which is closely analogous to the time reversal of a classical Markov transition matrix. Since open quantum dynamics are stochastic, and not, in general, deterministic, the time reversal is not, in general, an inversion of the dynamics. Rather, the system relaxes toward equilibrium in both the forward and reverse time directions. The probability of a quantum trajectory and the conjugate, time reversed trajectory are related by the heat exchanged with the environment.

  3. AEP Ohio gridSMART Demonstration Project Real-Time Pricing Demonstration Analysis

    SciTech Connect (OSTI)

    Widergren, Steven E.; Subbarao, Krishnappa; Fuller, Jason C.; Chassin, David P.; Somani, Abhishek; Marinovici, Maria C.; Hammerstrom, Janelle L.

    2014-02-01T23:59:59.000Z

    This report contributes initial findings from an analysis of significant aspects of the gridSMART® Real-Time Pricing (RTP) – Double Auction demonstration project. Over the course of four years, Pacific Northwest National Laboratory (PNNL) worked with American Electric Power (AEP), Ohio and Battelle Memorial Institute to design, build, and operate an innovative system to engage residential consumers and their end-use resources in a participatory approach to electric system operations, an incentive-based approach that has the promise of providing greater efficiency under normal operating conditions and greater flexibility to react under situations of system stress. The material contained in this report supplements the findings documented by AEP Ohio in the main body of the gridSMART report. It delves into three main areas: impacts on system operations, impacts on households, and observations about the sensitivity of load to price changes.

  4. Electricity Prices for Households - EIA

    Gasoline and Diesel Fuel Update (EIA)

    (U.S. Dollars per Kilowatthour) Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA 0.023 NA NA Australia 0.091 0.092 0.094 0.098 NA NA NA NA NA...

  5. Setting Your Household in Order.

    E-Print Network [OSTI]

    Chenoweth, Lillian

    1982-01-01T23:59:59.000Z

    CERTIFICATE & FILING FOR BENEFITS Myaddress __________________________________________________________________ _ street city county state zip code Citizen of _____________ Race ____ Birthplace ________ Date of Birth ______ _ Social Security Number... employment began with this employer _____________________ _ If you own your own business: Business partner ____________________________ _ Homeaddress _____________________________ _ Partnership agreement? YES __ NO __ Filed _______________ _ Partnership...

  6. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200DecadeCubic Feet)Historical1

  7. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200DecadeCubic

  8. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200DecadeCubic1. Introduction The

  9. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 0 d d XAir

  10. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 0 d d

  11. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 0 d d1a.

  12. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 0 d

  13. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 0 da. Air

  14. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 0 da.

  15. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 0 da.3a.

  16. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 0

  17. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 05a. Air

  18. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 05a.

  19. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P 05a.2001

  20. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P

  1. ac_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P9a. Air

  2. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P9a.

  3. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P9a.0a.

  4. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3 P9a.0a.1a.

  5. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3

  6. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3a. Appliances

  7. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3a.

  8. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3a.3a.

  9. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3a.3a.4a.

  10. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0 3a.3a.4a.5a.

  11. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 0

  12. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 02001 Appliance

  13. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 02001

  14. appl_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1 020019a.

  15. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1August 2001)

  16. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1August 2001)0a.

  17. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1August

  18. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1August2a.

  19. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1August2a.a.

  20. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1August2a.a.2a.

  1. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I 1August2a.a.2a.3a.

  2. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I

  3. char_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 20123 (Million13) I5a.

  4. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights19980 Summary

  5. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights19980 Summary0a. Home

  6. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights19980 Summary0a.

  7. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights19980 Summary0a.2a.

  8. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights19980 Summary0a.2a.a.

  9. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights19980

  10. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights199803a. Home Office

  11. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights199803a. Home

  12. homeoffice_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights199803a. Home9a. Home

  13. housingunit_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 201230 Highlights199803a. Home9a.

  14. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total per SquareQ2

  15. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total per SquareQ21a.

  16. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total per

  17. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera. Space

  18. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera. Space2a.

  19. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera. Space2a.3a.

  20. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.

  1. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.5a. Space

  2. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.5a. Space6a.

  3. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.5a.

  4. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.5a.8a. Space

  5. spaceheat_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.5a.8a.

  6. usage_household2001.pdf

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996September

  7. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3, 2001Air

  8. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3, 2001Air0a.

  9. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3, 2001Air0a.1a.

  10. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,

  11. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a. Air

  12. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a. Air2a. Air

  13. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a. Air2a.

  14. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a. Air2a.4a.

  15. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a.

  16. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a.6a. Air

  17. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a.6a. Air2001

  18. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a.6a.

  19. ac_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a.6a.9a. Air

  20. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a.6a.9a.

  1. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a.6a.9a.0a.

  2. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE.&Gasolinein7"10"3,a.6a.9a.0a.1a.

  3. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks

  4. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.

  5. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.2001 Appliance Types

  6. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.2001 Appliance

  7. appl_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.2001 Appliance9a.

  8. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.2001

  9. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.20010a.

  10. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.20010a.a.

  11. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.20010a.a.3a.

  12. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.20010a.a.3a.5a.

  13. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million U.S.20010a.a.3a.5a.6a.

  14. char_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million

  15. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHome Office

  16. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHome Office0a.

  17. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHome Office0a.1a.

  18. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHome

  19. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHomea. Home

  20. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHomea. Home2a.

  1. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHomea. Home2a.3a.

  2. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHomea.

  3. homeoffice_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHomea.9a. Home

  4. housingunit_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHomea.9a.

  5. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane Emissions(

  6. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane Emissions(1a.

  7. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane

  8. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a. Space

  9. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a. Space3a.

  10. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a. Space3a.4a.

  11. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a.

  12. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a.6a. Space

  13. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a.6a. Space8a.

  14. spaceheat_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a.6a.

  15. usage_household2001.pdf

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.2 1.8Usage

  16. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year in61999

  17. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year in61999C

  18. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year in61999C.

  19. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year

  20. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year. Vehicle

  1. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year. Vehicle

  2. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year. Vehicle

  3. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year.

  4. Household Vehicles Energy Consumption 1991

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year.Detailed

  5. Household Vehicles Energy Consumption 1994

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year.DetailedW

  6. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Early Station Costs Questionnaire

    E-Print Network [OSTI]

    NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Early Station Costs Questionnaire the hydrogen community and government agencies by increasing awareness of the status of refueling

  7. Matter: Space without Time

    E-Print Network [OSTI]

    Yousef Ghazi-Tabatabai

    2012-11-19T23:59:59.000Z

    While Quantum Gravity remains elusive and Quantum Field Theory retains the interpretational difficulties of Quantum Mechanics, we have introduced an alternate approach to the unification of particles, fields, space and time, suggesting that the concept of matter as space without time provides a framework which unifies matter with spacetime and in which we anticipate the development of complete theories (ideally a single unified theory) describing observed 'particles, charges, fields and forces' solely with the geometry of our matter-space-time universe.

  8. Manage Your Time 

    E-Print Network [OSTI]

    White, Lynn

    2000-06-27T23:59:59.000Z

    , you expect unused time to come around again, so that when the same opportunities appear you will be wiser about how to use it. Consider how your cultural background af_fects the w ay you plan and manage time. W *Both cited in Bauer, J. It?s Time.... Effective time management means decid- ing which activity should be done from all the possibilities available, and then doing it. It is a matter of setting priorities. Deciding which jobs are most important and working on those may be better than doing less...

  9. Intrinsic Time Quantum Geometrodynamics

    E-Print Network [OSTI]

    Eyo Eyo Ita III; Chopin Soo; Hoi-Lai Yu

    2015-02-06T23:59:59.000Z

    Quantum Geometrodynamics with intrinsic time development and momentric variables is presented. An underlying SU(3) group structure at each spatial point regulates the theory. The intrinsic time behavior of the theory is analyzed, together with its ground state and primordial quantum fluctuations. Cotton-York potential dominates at early times when the universe was small; the ground state naturally resolves Penrose's Weyl Curvature Hypothesis, and thermodynamic and gravitational `arrows of time' point in the same direction. Ricci scalar potential corresponding to Einstein's General Relativity emerges as a zero-point energy contribution. A new set of fundamental commutation relations without Planck's constant emerges from the unification of Gravitation and Quantum Mechanics.

  10. Intrinsic Time Quantum Geometrodynamics

    E-Print Network [OSTI]

    Ita, Eyo Eyo; Yu, Hoi-Lai

    2015-01-01T23:59:59.000Z

    Quantum Geometrodynamics with intrinsic time development and momentric variables is presented. An underlying SU(3) group structure at each spatial point regulates the theory. The intrinsic time behavior of the theory is analyzed, together with its ground state and primordial quantum fluctuations. Cotton-York potential dominates at early times when the universe was small; the ground state naturally resolves Penrose's Weyl Curvature Hypothesis, and thermodynamic and gravitational `arrows of time' point in the same direction. Ricci scalar potential corresponding to Einstein's General Relativity emerges as a zero-point energy contribution. A new set of fundamental canonical commutation relations without Planck's constant emerges from the unification of Gravitation and Quantum Mechanics.

  11. Developing Improved Travel Time Reliability Measures For Real-time

    E-Print Network [OSTI]

    Bertini, Robert L.

    reliability Use for prioritizing improvements Outline #12; 95th Percentile Travel Time Travel Time Index: mean travel time divided by free flow travel time Buffer Index: difference between 95th percentile travel time and mean travel time, divided by mean travel time Planning Time Index: 95th percentile

  12. Probabilistic time-series

    E-Print Network [OSTI]

    Roweis, Sam

    SCIA 2003 Tutorial: Hidden Markov Models Sam Roweis, University of Toronto June 29, 2003 Probabilistic Generative Models for Time Series #15; Stochastic models for time-series: y 1 ; y 2 ; : : : ; y #15; Add noise to make the system stochastic: p(y t jy t 1 ;y t 2 ; : : : ;y t k ) #15; Markov models

  13. Is Time Inhomogeneous ?

    E-Print Network [OSTI]

    S. Davood Sadatian

    2014-05-08T23:59:59.000Z

    In this article, we discuss probability of inhomogeneous time in high or low energy scale of physics. Consequently, the possibility was investigated of using theories such as varying speed of light (VSL) and fractal mathematics to build a framework within which answers can be found to some of standard cosmological problems and physics theories on the basis of time non-homogeneity.

  14. The Measurement of Time

    E-Print Network [OSTI]

    A. Boyarsky; P Gora

    2007-05-07T23:59:59.000Z

    We present a definition of time measurement based on high energy photons and the fundamental length scale, and show that, for macroscopic time, it is in accord with the Lorentz transformation of special relativity. To do this we define observer in a different way than in special relativity.

  15. Emergence of Time

    E-Print Network [OSTI]

    M. Heller; W. Sasin

    1997-11-17T23:59:59.000Z

    In the groupoid approach to noncommutative quantization of gravity, gravitational field is quantized in terms of a C*-algebra A of complex valued funcions on a groupoid G (with convolution as multiplication). In the noncommutative quantum gravitational regime the concepts of space and time are meaningless. We study the "emergence of time" in the transition process from the noncommutative regime to the standard space-time geometry. Precise conditions are specified under which modular groups of the von Neumann algebra generated by A can be defined. These groups are interpreted as a state depending time flow. If the above conditions are further refined one obtains a state independent time flow. We show that quantum gravitational dynamics can be expressed in terms of modular groups.

  16. Environment Induced Time Arrow

    E-Print Network [OSTI]

    Janos Polonyi

    2012-06-25T23:59:59.000Z

    The spread of the time arrows from the environment to an observed subsystem is followed within a harmonic model. A similarity is pointed out between irreversibility and a phase with spontaneously broken symmetry. The causal structure of interaction might be lost in the irreversible case, as well. The Closed Time Path formalism is developed for classical systems and shown to handle the time arrow problem in a clear and flexible manner. The quantum case is considered, as well, and the common origin of irreversibility and decoherence is pointed out.

  17. Time, energy & form

    E-Print Network [OSTI]

    McInnis, Martha Jane

    1982-01-01T23:59:59.000Z

    Physical manifestations of time occur in natural forms of all sizes. Architectural form serves as shelter while providing a built envelope of human life, simultaneously influencing and influenced by energetic activities ...

  18. Drug Retention Times

    SciTech Connect (OSTI)

    Center for Human Reliability Studies

    2007-05-01T23:59:59.000Z

    The purpose of this monograph is to provide information on drug retention times in the human body. The information provided is based on plausible illegal drug use activities that might be engaged in by a recreational drug user

  19. Drug Retention Times

    SciTech Connect (OSTI)

    Center for Human Reliability Studies

    2007-05-01T23:59:59.000Z

    The purpose of this monograph is to provide information on drug retention times in the human body. The information provided is based on plausible illegal drug use activities that might be engaged in by a recreational drug user.

  20. Time-Encoded Imagers.

    SciTech Connect (OSTI)

    Marleau, Peter; Brubaker, Erik

    2014-11-01T23:59:59.000Z

    This report provides a short overview of the DNN R&D funded project, Time-Encoded Imagers. The project began in FY11 and concluded in FY14. The Project Description below provides the overall motivation and objectives for the project as well as a summary of programmatic direction. It is followed by a short description of each task and the resulting deliverables.

  1. Bootstrapping Time Dilation Decoherence

    E-Print Network [OSTI]

    Cisco Gooding; William G. Unruh

    2015-03-18T23:59:59.000Z

    We present a general relativistic model of a spherical shell of matter with a perfect fluid on its surface coupled to an internal oscillator, which generalizes a model recently introduced by the authors to construct a self-gravitating interferometer [1]. The internal oscillator evolution is defined with respect to the local proper time of the shell, allowing the oscillator to serve as a local clock that ticks differently depending on the shell's position and momentum. A Hamiltonian reduction is performed on the system, and an approximate quantum description is given to the reduced phase space. If we focus only on the external dynamics, we must trace out the clock degree of freedom, and this results in a form of intrinsic decoherence that shares some features with a proposed "universal" decoherence mechanism attributed to gravitational time dilation [2]. We show that the proposed decoherence remains present in the (gravity-free) limit of flat spacetime, indicating that the effect can be attributed entirely to proper time differences, and thus is not necessarily related to gravity. Finally, we point out a way to bootstrap the gravitational contribution to the time dilation decoherence by including self-interaction, and comment on how this can be considered a fundamentally gravitational intrinsic decoherence effect.

  2. Time and Attendance Reporting

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2004-10-22T23:59:59.000Z

    DOE O 535.1 establishes the Department's requirements and responsibilities governing time and attendance reporting. The purpose of this revision is to reflect the transition of payroll processing from the Capital Accounting Center to the Defense Finance and Accounting System. Cancels DOE O 3600.1B. Canceled by DOE O 322.1C.

  3. Time reversal communication system

    DOE Patents [OSTI]

    Candy, James V. (Danville, CA); Meyer, Alan W. (Danville, CA)

    2008-12-02T23:59:59.000Z

    A system of transmitting a signal through a channel medium comprises digitizing the signal, time-reversing the digitized signal, and transmitting the signal through the channel medium. The channel medium may be air, earth, water, tissue, metal, and/or non-metal.

  4. Predicting recreation priorities

    E-Print Network [OSTI]

    Hunt, Kindal Alayne

    2003-01-01T23:59:59.000Z

    was to determine the relative contribution of these factors for predicting recreation priorities. Data was collected using a self-administered questionnaire distributed to all households at Fort Hood military housing post in Texas. The questionnaire was designed...

  5. Tevatron injection timing

    SciTech Connect (OSTI)

    Saritepe, S.; Annala, G.

    1993-06-01T23:59:59.000Z

    Bunched beam transfer from one accelerator to another requires coordination and synchronization of many ramped devices. During collider operation timing issues are more complicated since one has to switch from proton injection devices to antiproton injection devices. Proton and antiproton transfers are clearly distinct sequences since protons and antiprotons circulate in opposite directions in the Main Ring (MR) and in the Tevatron. The time bumps are different, the kicker firing delays are different, the kickers and lambertson magnets are different, etc. Antiprotons are too precious to be used for tuning purposes, therefore protons are transferred from the Tevatron back into the Main Ring, tracing the path of antiprotons backwards. This tuning operation is called ``reverse injection.`` Previously, the reverse injection was handled in one supercycle. One batch of uncoalesced bunches was injected into the Tevatron and ejected after 40 seconds. Then the orbit closure was performed in the MR. In the new scheme the lambertson magnets have to be moved and separator polarities have to be switched, activities that cannot be completed in one supercycle. Therefore, the reverse injection sequence was changed. This involved the redefinition of TVBS clock event $D8 as MRBS $D8 thus making it possible to inject 6 proton batches (or coalesced bunches) and eject them one at a time on command, performing orbit closure each time in the MR. Injection devices are clock event driven. The TCLK is used as the reference clock. Certain TCLK events are triggered by the MR beam synchronized clock (MRBS) events. Some delays are measured in terms of MRBS ticks and MR revolutions. See Appendix A for a brief description of the beam synchronized clocks.

  6. Ghana's regional development in economics, education and natural resources, with a case study on customers' preferences for household water treatment & safe storage products

    E-Print Network [OSTI]

    Qiu, Weini

    2012-01-01T23:59:59.000Z

    Ghana is one of the few countries that was re-classified from low-income country to low-middle income country in 2011 by the World Bank (World Bank, 2011a). At the same time, Ghana is still in the process of achieving the ...

  7. Genepool Time Heatmaps

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.Newof EnergyFundingGene Controls FloweringJavaGenepool Time

  8. Bootstrapping Time Dilation Decoherence

    E-Print Network [OSTI]

    Gooding, Cisco

    2015-01-01T23:59:59.000Z

    We present a general relativistic model of a spherical shell of matter with a perfect fluid on its surface coupled to an internal oscillator, which generalizes a model recently introduced by the authors to construct a self-gravitating interferometer [1]. The internal oscillator evolution is defined with respect to the local proper time of the shell, allowing the oscillator to serve as a local clock that ticks differently depending on the shell's position and momentum. A Hamiltonian reduction is performed on the system, and an approximate quantum description is given to the reduced phase space. If we focus only on the external dynamics, we must trace out the clock degree of freedom, and this results in a form of intrinsic decoherence that shares some features with a proposed "universal" decoherence mechanism attributed to gravitational time dilation [2]. We show that the proposed decoherence remains present in the (gravity-free) limit of flat spacetime, indicating that the effect can be attributed entirely to ...

  9. HAWC Timing Calibration

    E-Print Network [OSTI]

    Huentemeyer, Petra; Dingus, Brenda

    2009-01-01T23:59:59.000Z

    The High-Altitude Water Cherenkov (HAWC) Experiment is a second-generation highsensitivity gamma-ray and cosmic-ray detector that builds on the experience and technology of the Milagro observatory. Like Milagro, HAWC utilizes the water Cherenkov technique to measure extensive air showers. Instead of a pond filled with water (as in Milagro) an array of closely packed water tanks is used. The event direction will be reconstructed using the times when the PMTs in each tank are triggered. Therefore, the timing calibration will be crucial for reaching an angular resolution as low as 0.25 degrees.We propose to use a laser calibration system, patterned after the calibration system in Milagro. Like Milagro, the HAWC optical calibration system will use ~1 ns laser light pulses. Unlike Milagro, the PMTs are optically isolated and require their own optical fiber calibration. For HAWC the laser light pulses will be directed through a series of optical fan-outs and fibers to illuminate the PMTs in approximately one half o...

  10. Final Exam Location and Time

    E-Print Network [OSTI]

    Final Exam Location and Time. Math 162 Fall 2001. Date: Wednesday December 12, 2001. Time: 7:00 pm -9:00 pm. Location: Lambert Fieldhouse ...

  11. Final Exam Location and Time

    E-Print Network [OSTI]

    Final Exam Location and Time. Math 161 Fall 2001. Date: Friday December 14, 2001. Time: 8:00 am -10:00 am. Location: Lambert Fieldhouse ...

  12. Deciding Timed Bisimulation for Timed Automata Using Zone Valuation Graph

    E-Print Network [OSTI]

    Prasad, Sanjiva

    Deciding Timed Bisimulation for Timed Automata Using Zone Valuation Graph Shibashis Guha, Chinmay was first proved to be decidable for timed automata by Cerans using a product construction method on region graph. Several other methods have been proposed in the literature since then for decid- ing timed

  13. Time encoded radiation imaging

    DOE Patents [OSTI]

    Marleau, Peter; Brubaker, Erik; Kiff, Scott

    2014-10-21T23:59:59.000Z

    The various technologies presented herein relate to detecting nuclear material at a large stand-off distance. An imaging system is presented which can detect nuclear material by utilizing time encoded imaging relating to maximum and minimum radiation particle counts rates. The imaging system is integrated with a data acquisition system that can utilize variations in photon pulse shape to discriminate between neutron and gamma-ray interactions. Modulation in the detected neutron count rates as a function of the angular orientation of the detector due to attenuation of neighboring detectors is utilized to reconstruct the neutron source distribution over 360 degrees around the imaging system. Neutrons (e.g., fast neutrons) and/or gamma-rays are incident upon scintillation material in the imager, the photons generated by the scintillation material are converted to electrical energy from which the respective neutrons/gamma rays can be determined and, accordingly, a direction to, and the location of, a radiation source identified.

  14. Real time automated inspection

    DOE Patents [OSTI]

    Fant, K.M.; Fundakowski, R.A.; Levitt, T.S.; Overland, J.E.; Suresh, B.R.; Ulrich, F.W.

    1985-05-21T23:59:59.000Z

    A method and apparatus are described relating to the real time automatic detection and classification of characteristic type surface imperfections occurring on the surfaces of material of interest such as moving hot metal slabs produced by a continuous steel caster. A data camera transversely scans continuous lines of such a surface to sense light intensities of scanned pixels and generates corresponding voltage values. The voltage values are converted to corresponding digital values to form a digital image of the surface which is subsequently processed to form an edge-enhanced image having scan lines characterized by intervals corresponding to the edges of the image. The edge-enhanced image is thresholded to segment out the edges and objects formed by the edges by interval matching and bin tracking. Features of the objects are derived and such features are utilized to classify the objects into characteristic type surface imperfections. 43 figs.

  15. Real time automated inspection

    DOE Patents [OSTI]

    Fant, Karl M. (Minneapolis, MN); Fundakowski, Richard A. (Saint Paul, MN); Levitt, Tod S. (Minneapolis, MN); Overland, John E. (Plymouth, MN); Suresh, Bindinganavle R. (New Brighton, MN); Ulrich, Franz W. (Minneapolis, MN)

    1985-01-01T23:59:59.000Z

    A method and apparatus relating to the real time automatic detection and classification of characteristic type surface imperfections occurring on the surfaces of material of interest such as moving hot metal slabs produced by a continuous steel caster. A data camera transversely scans continuous lines of such a surface to sense light intensities of scanned pixels and generates corresponding voltage values. The voltage values are converted to corresponding digital values to form a digital image of the surface which is subsequently processed to form an edge-enhanced image having scan lines characterized by intervals corresponding to the edges of the image. The edge-enhanced image is thresholded to segment out the edges and objects formed by the edges are segmented out by interval matching and bin tracking. Features of the objects are derived and such features are utilized to classify the objects into characteristic type surface imperfections.

  16. Impact of Extended Daylight Saving Time on National Energy Consumption Report to Congress

    SciTech Connect (OSTI)

    Belzer, D. B.; Hadley, S. W.; Chin, S-M.

    2008-10-01T23:59:59.000Z

    The Energy Policy Act of 2005 (Pub. L. No. 109-58; EPAct 2005) amended the Uniform Time Act of 1966 (Pub. L. No. 89-387) to increase the portion of the year that is subject to Daylight Saving Time. (15 U.S.C. 260a note) EPAct 2005 extended the duration of Daylight Saving Time in the spring by changing its start date from the first Sunday in April to the second Sunday in March, and in the fall by changing its end date from the last Sunday in October to the first Sunday in November. (15 U.S.C. 260a note) EPAct 2005 also called for the Department of Energy to evaluate the impact of Extended Daylight Saving Time on energy consumption in the United States and to submit a report to Congress. (15 U.S.C. 260a note) This report presents the results of impacts of Extended Daylight Saving Time on the national energy consumption in the United States. The key findings are: (1) The total electricity savings of Extended Daylight Saving Time were about 1.3 Tera Watt-hour (TWh). This corresponds to 0.5 percent per each day of Extended Daylight Saving Time, or 0.03 percent of electricity consumption over the year. In reference, the total 2007 electricity consumption in the United States was 3,900 TWh. (2) In terms of national primary energy consumption, the electricity savings translate to a reduction of 17 Trillion Btu (TBtu) over the spring and fall Extended Daylight Saving Time periods, or roughly 0.02 percent of total U.S. energy consumption during 2007 of 101,000 TBtu. (3) During Extended Daylight Saving Time, electricity savings generally occurred over a three- to five-hour period in the evening with small increases in usage during the early-morning hours. On a daily percentage basis, electricity savings were slightly greater during the March (spring) extension of Extended Daylight Saving Time than the November (fall) extension. On a regional basis, some southern portions of the United States exhibited slightly smaller impacts of Extended Daylight Saving Time on energy savings compared to the northern regions, a result possibly due to a small, offsetting increase in household air conditioning usage. (4) Changes in national traffic volume and motor gasoline consumption for passenger vehicles in 2007 were determined to be statistically insignificant and therefore, could not be attributed to Extended Daylight Saving Time.

  17. SLH Timing Belt Powertrain

    SciTech Connect (OSTI)

    Schneider, Abe

    2014-04-09T23:59:59.000Z

    The main goal of this proposal was to develop and test a novel powertrain solution for the SLH hydroEngine?, a low-cost, efficient low-head hydropower technology. Nearly two-thirds of U.S. renewable electricity is produced by hydropower (EIA 2010). According to the U.S. Department of Energy; this amount could be increased by 50% with small hydropower plants, often using already-existing dams (Hall 2004). There are more than 80,000 existing dams, and of these, less than 4% generate power (Blankinship 2009). In addition, there are over 800 irrigation districts in the U.S., many with multiple, non-power, low-head drops. These existing, non-power dams and irrigation drops could be retrofitted to produce distributed, baseload, renewable energy with appropriate technology. The problem is that most existing dams are low-head, or less than 30 feet in height (Ragon 2009). Only about 2% of the available low-head hydropower resource in the U.S. has been developed, leaving more than 70 GW of annual mean potential low-head capacity untapped (Hall 2004). Natel Energy, Inc. is developing a low-head hydropower turbine that operates efficiently at heads less than 6 meters and is cost-effective for deployment across multiple low-head structures. Because of the unique racetrack-like path taken by the prime-movers in the SLH, a flexible powertrain is required. Historically, the only viable technological solution was roller chain. Despite the having the ability to easily attach blades, roller chain is characterized by significant drawbacks, including high cost, wear, and vibration from chordal action. Advanced carbon-#12;fiber-reinforced timing belts have been recently developed which, coupled with a novel belt attachment system developed by Natel Energy, result in a large reduction in moving parts, reduced mass and cost, and elimination of chordal action for increased fatigue life. The work done in this project affirmatively addressed each of the following 3 major uncertainties concerning a timing-belt based hydroEngine ?powertrain: 1. Can a belt handle the high torques and power loads demanded by the SLH? (Yes.) 2. Can the SLH blades be mounted to belt with a connection that can withstand the loads encountered in operation? (Yes.) 3. Can the belt, with blade attachments, live through the required cyclic loading? (Yes.) The research adds to the general understanding of sustainable small hydropower systems by using innovative system testing to develop and demonstrate performance of a novel powertrain solution, enabling a new type of hydroelectric turbine to be commercially developed. The technical effectiveness of the methods investigated has been shown to be positive through an extensive design and testing process accommodating many constraints and goals, with a major emphasis on high cycle fatigue life. Economic feasibility of the innovations has been demonstrated through many iterations of design for manufacturability and cost reduction. The project is of benefit to the public because it has helped to develop a solution to a major problem -- despite the large available potential for new low-head hydropower, high capital costs and high levelized cost of electricity (LCOE) continue to be major barriers to project development. The hydroEngine? represents a significant innovation, leveraging novel fluid mechanics and mechanical configuration to allow lower-cost turbine manufacture and development of low head hydropower resources.

  18. Turbo Space-Time Codes with Time Varying Linear Transformations

    E-Print Network [OSTI]

    Haimovich, Alexander

    1 Turbo Space-Time Codes with Time Varying Linear Transformations Hangjun Chen and Alexander 07102 Email: {hangjun.chen; alexander.m.haimovich}@njit.edu Abstract Turbo space-time codes with symbols in this paper. It is shown that turbo codes with TVLT achieve full diversity gain and do not require exhaustive

  19. The LCLS Timing Event System

    SciTech Connect (OSTI)

    Dusatko, John; Allison, S.; Browne, M.; Krejcik, P.; /SLAC

    2012-07-23T23:59:59.000Z

    The Linac Coherent Light Source requires precision timing trigger signals for various accelerator diagnostics and controls at SLAC-NAL. A new timing system has been developed that meets these requirements. This system is based on COTS hardware with a mixture of custom-designed units. An added challenge has been the requirement that the LCLS Timing System must co-exist and 'know' about the existing SLC Timing System. This paper describes the architecture, construction and performance of the LCLS timing event system.

  20. Timing Calibration in PET Using a Time Alignment Probe

    E-Print Network [OSTI]

    Moses, William W.; Thompson, Christopher J.

    2006-01-01T23:59:59.000Z

    when the two sets of calibration factors are loaded into theare equivalent. Inde, .er/#—calibration, positron emissionB. Conventional Time-Delay Calibration Method 4> >,? '- -'#$

  1. Reactor control rod timing system

    DOE Patents [OSTI]

    Wu, Peter T. K. (Clifton Park, NY)

    1982-01-01T23:59:59.000Z

    A fluid driven jet-edge whistle timing system for control rods of a nuclear reactor for producing real-time detection of the timing of each control rod in its scram operation. An important parameter in reactor safety, particularly for liquid metal fast breeder reactors (LMFBR), is the time deviation between the time the control rod is released and the time the rod actually reaches the down position. The whistle has a nearly pure tone signal with center frequency (above 100 kHz) far above the frequency band in which the energy of the background noise is concentrated. Each control rod can be fitted with a whistle with a different frequency so that there is no ambiguity in differentiating the signal from each control rod.

  2. Reactor control rod timing system

    SciTech Connect (OSTI)

    Wu, P.T.

    1982-02-09T23:59:59.000Z

    A fluid driven jet-edge whistle timing system for control rods of a nuclear reactor for producing real-time detection of the timing of each control rod in its scram operation. An important parameter in reactor safety, particularly for liquid metal fast breeder reactors (LMFBR), is the time deviation between the time the control rod is released and the time the rod actually reaches the down position. The whistle has a nearly pure tone signal with center frequency (Above 100 kHz) far above the frequency band in which the energy of the background noise is concentrated. Each control rod can be fitted with a whistle with a different frequency so that there is no ambiguity in differentiating the signal from each control rod.

  3. How Do Variations in Heat Islands in Space and Time Influence HoHow Do Variations in Heat Islands in Space and Time Influence Household Water Use?usehold Water Use? Rimjhim Aggarwal1, Subhrajit Guhathakurta1,2, Susanne Grossman-Clarke1, and Vasudha Lathey

    E-Print Network [OSTI]

    Hall, Sharon J.

    to estimate the relation between heat islands and water consumption, after adjusting for the effect consumption has remained stable over these years. To use panel data techniques to control for the unobserved consumption in Phoenix. RESULTS The heat island has expanded spatially over the study period, and also

  4. ExperTime: Tracking Expertise over Time Norwegian University of

    E-Print Network [OSTI]

    Nørvåg, Kjetil

    ExperTime: Tracking Expertise over Time Jan Rybak Norwegian University of Science and Technology Norwegian University of Science and Technology kjetil.norvag@idi.ntnu.no ABSTRACT This paper presents Exper 6­11, 2014, Gold Coast, Queensland, Australia. ACM 978-1-4503-2257-7/14/07. http://dx.doi.org/10

  5. IT'S ABOUT TIME Characteristic times in biogeochemistry and climate

    E-Print Network [OSTI]

    Schwartz, Stephen E.

    , and then It falls to earth: Can you tell me when? Decision making on energy and climate change #12;Impulse responseIT'S ABOUT TIME Characteristic times in biogeochemistry and climate Stephen E. Schwartz Symposium on biogeochemical cycling and climate In honor of Henning Rodhe on the occasion of his retirement from the chair

  6. Real-Time Control with Parametric Timed Reachability Games

    E-Print Network [OSTI]

    Boyer, Edmond

    for which the existence of a parameter valuation, such that there is a strategy for the controller to reach set of parameter valuations. Keywords: Timed automata, game theory, parameters, control, verification, model-checking 1. INTRODUCTION Formal methods are widely used in the analysis of time critical systems

  7. Copyright 2005 The Financial Times Limited Financial Times (London, England)

    E-Print Network [OSTI]

    Copyright 2005 The Financial Times Limited Financial Times (London, England) July 11, 2005 Monday London Edition 1 SECTION: COMMENT; Pg. 19 LENGTH: 922 words HEADLINE: Hope and generosity can triumph, nudged the world closer to this prospect. With the backdrop of the bombs in London, the Gleneagles

  8. Time Structure of Muonic Showers

    E-Print Network [OSTI]

    L. Cazon; R. A. Vazquez; A. A. Watson; E. Zas

    2003-11-10T23:59:59.000Z

    An analytical description of the time structure of the pulses induced by muons in air showers at ground level is deduced assuming the production distance distribution for the muons can be obtained elsewhere. The results of this description are compared against those obtained from simulated showers using AIRES. Major contributions to muon time delays are identified and a relation between the time structure and the depth distribution is unveiled.

  9. Quantum Gravity, the Origin of Time and Time's Arrow

    E-Print Network [OSTI]

    J. W. Moffat

    1992-09-02T23:59:59.000Z

    The local Lorentz and diffeomorphism symmetries of Einstein's gravitational theory are spontaneously broken by a Higgs mechanism by invoking a phase transition in the early Universe, at a critical temperature $T_c$ below which the symmetry is restored. The spontaneous breakdown of the vacuum state generates an external time and the wave function of the Universe satisfies a time dependent Schrodinger equation, which reduces to the Wheeler-deWitt equation in the classical regime for $T T_c$ and matter is created fractions of seconds after the big bang, generating the matter in the Universe. The time direction of the vacuum expectation value of the scalar Higgs field generates a time asymmetry, which defines the cosmological arrow of time and the direction of increasing entropy as the Lorentz symmetry is restored at low temperatures.

  10. Subsystem real-time Time Dependent Density Functional Theory

    E-Print Network [OSTI]

    Krishtal, Alisa; Pavanello, Michele

    2015-01-01T23:59:59.000Z

    We present the extension of Frozen Density Embedding (FDE) theory to real-time Time Dependent Density Functional Theory (rt-TDDFT). FDE a is DFT-in-DFT embedding method that allows to partition a larger Kohn-Sham system into a set of smaller, coupled Kohn-Sham systems. Additional to the computational advantage, FDE provides physical insight into the properties of embedded systems and the coupling interactions between them. The extension to rt-TDDFT is done straightforwardly by evolving the Kohn-Sham subsystems in time simultaneously, while updating the embedding potential between the systems at every time step. Two main applications are presented: the explicit excitation energy transfer in real time between subsystems is demonstrated for the case of the Na$_4$ cluster and the effect of the embedding on optical spectra of coupled chromophores. In particular, the importance of including the full dynamic response in the embedding potential is demonstrated.

  11. Resource Allocation with Time Intervals

    E-Print Network [OSTI]

    2009-09-21T23:59:59.000Z

    Keywords: resource allocation, proper intervals, unsplittable flow ... be positioned within a larger time interval) and call admission control, see [4] and [8] for ...

  12. Electric Time in Quantum Cosmology

    E-Print Network [OSTI]

    Stephon Alexander; Martin Bojowald; Antonino Marciano; David Simpson

    2012-12-10T23:59:59.000Z

    Effective quantum cosmology is formulated with a realistic global internal time given by the electric vector potential. New possibilities for the quantum behavior of space-time are found, and the high-density regime is shown to be very sensitive to the specific form of state realized.

  13. Time Management Top 50 Strategies

    E-Print Network [OSTI]

    , weekly and term goals in order of priority and work on top priorities. 2. Prioritize each task based-schedule yourself. 14. Get sleep, exercise and relaxation to keep your energy up. 15. Figure out your peak times of day for energy and do difficult tasks (e.g., studying) during that time. 16. Do the most difficult

  14. STARBASE: MANAGING CONTENTION AND TIMING

    E-Print Network [OSTI]

    Son, Sang H.

    systems (RT­DBMS) has primarily based on simulation. This chapter discusses how current real­time technology has been applied to architect an actual RT­DBMS on a real­time microkernel operating system. A real RT­DBMS must confront many practical issues which simulations typically ignore: race conditions

  15. 2003 CBECS Pre-Test Questionnaire

    Gasoline and Diesel Fuel Update (EIA)

    what type of education is this? 1 Elementary or middle school 2 High school 3 College or university 4 Preschool or daycare 5 Adult education 6 Career or vocational training 7...

  16. Oak Ridge Associated Universities Procurement Questionnaire Applicatio...

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

    Medical Surveillance System (OMSS) PIA, Idaho National Laboratory Occupational Medicine - Assistant PIA, Idaho National Laboratory ORO Verification of Employment Tracking...

  17. EERE Environmental Questionnaire | 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJulySavannah RiverSustainability |Innovations inP a g e

  18. Foreign National Visit/Assignment Questionnaire

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2: FinalOffers3.pdf0-45.pdf Flash2010-45.pdfFlash2011-43andPropertyFor Early Unclassified

  19. Foreign National Visit/Assignment Questionnaire

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2: FinalOffers3.pdf0-45.pdf Flash2010-45.pdfFlash2011-43andPropertyFor Early Unclassified

  20. 2003 CBECS Pre-Test Questionnaire

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand8) JunePercent2014 1stEnergy

  1. Oak Ridge Associated Universities Procurement Questionnaire Application

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMake YourDepartment ofC T O B E R 2

  2. HQ FNVA Questionnaire | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov.Energy02.pdf7 OPAM Flash2011-37 OPAMResource GuideandCerti cate of (12-08) DOE

  3. Unclassified Foreign National Visits & Assignments Questionnaire

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3E AmbassadorsUS-EU-Japan Working Unclassified Foreign National

  4. Unclassified Foreign National Visits & Assignments Questionnaire |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015 -Helicopter AccidentSeptemberDepartmentUmatilla TribesDepartment of

  5. 2003 CBECS Pre-Test Questionnaire

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment ActivitiesAge Refining Air BPA2.D (2001) -- FormA

  6. 2003 CBECS Pre-Test Questionnaire

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment ActivitiesAge Refining Air BPA2.D (2001) -- FormA

  7. EERE Environmental Questionnaire | 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 Fuels Data Center HomeIdleBiologicalCrosscuttingDepartmentDrills

  8. ESPC Past Performance Questionnaire | 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 DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisory Board Contributions EMEM STAREPIcodeFEDERALTEMPLATEESPC ENABLE:

  9. APPLICANT BACKGROUND SURVEY QUESTIONNAIRE GENERAL INSTRUCTIONS

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearchSOLICITATIONIMODI FICATION OF CONTRACT 1 OTATI OEP AEGraphic of09 IAPPLICANT

  10. QA/QC QUESTIONNAIRE for SUPPLIERS

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70COMMUNITY AEROSOL: ShalePutting veteransQ&A87QA/QC

  11. Time Valid One-Time Signature for Time-Critical Multicast Data Authentication

    E-Print Network [OSTI]

    Nahrstedt, Klara

    malicious attacks. In this paper, we propose a novel signature model ­ Time Valid One-Time Signature (TV perfect tolerance to packet loss and strong robustness against malicious attacks. The communication is found in current substation communication systems where critical messages related to transient faults (e

  12. Contacts of space--times

    SciTech Connect (OSTI)

    Maia, M.D.

    1981-03-01T23:59:59.000Z

    The concept of contact between manifolds is applied to space--times of general relativity. For a given background space--time a contact approximation of second order is defined and interpreted both from the point of view of a metric pertubation and of a higher order tangent manifold. In the first case, an application to the high frequency gravitational wave hypothesis is suggested. In the second case, a constant curvature tangent bundle is constructed and suggested as a means to define a ten parameter local space--time symmetry.

  13. Time Gravity and Quantum Mechanics

    E-Print Network [OSTI]

    W. G. Unruh

    1993-12-17T23:59:59.000Z

    Time plays different roles in quantum mechanics and gravity. These roles are examined and the problems that the conflict in the roles presents for quantum gravity are briefly summarised.

  14. TIME-DEPENDENT MAXWELL'S EQUATIONS*

    E-Print Network [OSTI]

    Department of Mathematical Sciences, University of Delaware, Newark, Delaware 19716. (monklath.udel. ... The plan of the paperis as follows. In 2 we .... which states that the energy in the discrete system is independent of time. This energy ...

  15. Jaguar/Kraken time lapse

    SciTech Connect (OSTI)

    2009-11-17T23:59:59.000Z

    Time lapse video of the upgrade to ORNL's Jaguar and the University of Tennessee's Kraken, the world's fastest and third-fastest supercomputers. For more information, please visit www.nccs.gov.

  16. TIME SCHEDULE WINTER QUARTER 1970

    E-Print Network [OSTI]

    Kaminsky, Werner

    MASTER CON TIME SCHEDULE WINTER QUARTER 1970 ADVANCE REGISTRATION NOVEMBER 3-21 IN, please leave it or pass it along so that other students may use it. #12;Winter Quarter 1970. Examination

  17. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    for residential natural gas combustion in California was estimates for natural gas combustion could be found in the for residential natural gas  combustion based on data from 

  18. The World Distribution of Household Wealth

    E-Print Network [OSTI]

    DAVIES, JAMES B; Shorrocks, Anthony; Sandstrom, Susanna; WOLFF, EDWARD N

    2007-01-01T23:59:59.000Z

    or consumption usually use PPP (purchasing power parity)Some alternative estimates using PPP rates are discussed inhave been constructed on a PPP basis. 16 14 The estimated

  19. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    residential natural gas combustion in California was based estimates for natural gas combustion could be found in the residential natural gas  combustion based on data from the 

  20. 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

  1. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    consumption categories and includes a diversity of items such as property taxes, luggage,  clocks, lawn and garden supplies, and pet 

  2. Model development for household waste prevention behaviour

    SciTech Connect (OSTI)

    Bortoleto, Ana Paula, E-mail: a.bortoleto@sheffield.ac.uk [Department of Urban Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan); Kurisu, Kiyo H.; Hanaki, Keisuke [Department of Urban Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan)

    2012-12-15T23:59:59.000Z

    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.

  3. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    Television Water heating Technology Measure Upgrade to SEER=and space heating  technologies, personal computers,  pool technology or process within a given sector, such as lighting and heating, 

  4. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    database contains energy and cost savings estimates for hundreds  of different industrial technology energy savings estimates for industrial HVAC, refrigeration, and  lighting systems were derived using technology measure data from the IAC database.  technology unit energy consumption (UEC) 6  and saturation data from the California  Residential Appliance Saturation  Survey (RASS) database (

  5. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    lighting and heating, ventilation, and air  conditioning (potential  Heating, ventilation, and air conditioning Refrigeration Space Heating Ventilation ENERGY STAR PCs and

  6. Product List: Pesticides and Household Chemicals

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    Killer #08D Raid Outdoor Ant and Roach Killer #012D Spectracide Bug Stop #016D 9/6/2007 Page 2 of 17 Spray #021A CB-80 #025A Hart 2 in 1 Flea Spray #029A Hot Shot Roach and Ant #033A Antrol Spray #019C and Roach Spray #020D Black Jack #024D Grants Kills Ants Ant, Spider and Flea Killer #028D Hot Shot Flying

  7. Liquidity Constraints, Household Wealth, and Entrepreneurship Revisited

    E-Print Network [OSTI]

    Fairlie, Robert W.; Krashinsky, Harry A.

    2011-01-01T23:59:59.000Z

    the 1 st and 95 th percentiles of the asset distribution,for individuals above the 95 th percentile. The constancy ofassets are in the 95 th percentile or higher because of much

  8. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    11 Table 2: Estimated natural gas end use UECs and 95%annual supply chain natural gas related GHG emissions per2: Estimated annual direct natural gas GHG emissions per

  9. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01T23:59:59.000Z

    method known as life?cycle assessment  (LCA), which is a Input?Output Life Cycle Assessment (EIO? LCA) model.  Input?Output Life?Cycle  Assessment (EIO?LCA) model (

  10. 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 DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many DevilsForumEngines |NewStateDepartment of EnergyofandNext

  11. Microsoft Word - Household Energy Use CA

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG 0 20 40 60 80 100 US PAC CA Site

  12. Household Vehicles Energy Consumption 1994 - Appendix C

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1 Year.DetailedW

  13. Household Vehicles Energy Use Cover Page

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYearperHOWYear-Month Week 1

  14. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005 attheMohammed KhanDepartment of Energy NewNovember 6, 2013JulyIn

  15. Alston S. Householder Fellowship | Careers | ORNL

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProducts (VAP) VAP7-0973ManagedStrategic|AljazeeraO S o'ware a nd

  16. UNDERGRAD FULL-TIME PART-TIME UNDERGRAD FULL-TIME PART-TIME Arts & Social Sciences 4706 1118 15 -19 3910 0

    E-Print Network [OSTI]

    -TIME UNDERGRAD FULL-TIME PART-TIME Year 1 3431 432 Tri-County area 7533 1474 Year 2 3012 406 Rest of Ontario 2929 GRADUATE FULL-TIME PART-TIME GRADUATE FULL-TIME PART-TIME Tri-County area 586 80 Spec & Cert 3 2 Rest

  17. Reduction in maximum time uncertainty of paired time signals

    DOE Patents [OSTI]

    Theodosiou, George E. (West Chicago, IL); Dawson, John W. (Clarendon Hills, IL)

    1983-01-01T23:59:59.000Z

    Reduction in the maximum time uncertainty (t.sub.max -t.sub.min) of a series of paired time signals t.sub.1 and t.sub.2 varying between two input terminals and representative of a series of single events where t.sub.1 .ltoreq.t.sub.2 and t.sub.1 +t.sub.2 equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t.sub.min) of the first signal t.sub.1 closer to t.sub.max and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20-800.

  18. Reduction in maximum time uncertainty of paired time signals

    DOE Patents [OSTI]

    Theodosiou, G.E.; Dawson, J.W.

    1983-10-04T23:59:59.000Z

    Reduction in the maximum time uncertainty (t[sub max]--t[sub min]) of a series of paired time signals t[sub 1] and t[sub 2] varying between two input terminals and representative of a series of single events where t[sub 1][<=]t[sub 2] and t[sub 1]+t[sub 2] equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t[sub min]) of the first signal t[sub 1] closer to t[sub max] and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20--800. 6 figs.

  19. Reduction in maximum time uncertainty of paired time signals

    DOE Patents [OSTI]

    Theodosiou, G.E.; Dawson, J.W.

    1981-02-11T23:59:59.000Z

    Reduction in the maximum time uncertainty (t/sub max/ - t/sub min/) of a series of paired time signals t/sub 1/ and t/sub 2/ varying between two input terminals and representative of a series of single events where t/sub 1/ less than or equal to t/sub 2/ and t/sub 1/ + t/sub 2/ equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t/sub min/) of the first signal t/sub 1/ closer to t/sub max/ and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20 to 800.

  20. Time evolution of cascade decay

    E-Print Network [OSTI]

    Daniel Boyanovsky; Louis Lello

    2014-06-25T23:59:59.000Z

    We study non-perturbatively the time evolution of cascade decay for generic fields $\\pi \\rightarrow \\phi_1\\phi_2\\rightarrow \\phi_2\\chi_1\\chi_2$ and obtain the time dependence of amplitudes and populations for the resonant and final states. We analyze in detail the different time scales and the manifestation of unitary time evolution in the dynamics of production and decay of resonant intermediate and final states. The probability of occupation (population) "flows" as a function of time from the initial to the final states. When the decay width of the parent particle $\\Gamma_\\pi$ is much larger than that of the intermediate resonant state $\\Gamma_{\\phi_1}$ there is a "bottleneck" in the flow, the population of resonant states builds up to a maximum at $t^* = \\ln[\\Gamma_\\pi/\\Gamma_{\\phi_1}]/(\\Gamma_\\pi-\\Gamma_{\\phi_1})$ nearly saturating unitarity and decays to the final state on the longer time scale $1/\\Gamma_{\\phi_1}$. As a consequence of the wide separation of time scales in this case the cascade decay can be interpreted as evolving sequentially $\\pi \\rightarrow \\phi_1\\phi_2; ~ \\phi_1\\phi_2\\rightarrow \\phi_2\\chi_1\\chi_2$. In the opposite limit the population of resonances ($\\phi_1$) does not build up substantially and the cascade decay proceeds almost directly from the initial parent to the final state without resulting in a large amplitude of the resonant state. An alternative but equivalent non-perturbative method useful in cosmology is presented. Possible phenomenological implications for heavy sterile neutrinos as resonant states and consequences of quantum entanglement and correlations in the final state are discussed.

  1. Time Consistent Risk Measure Under Stopping Time Framework ...

    E-Print Network [OSTI]

    2015-02-13T23:59:59.000Z

    or down-side risk measures have been proposed, from the Roy's safety-first criterion .... the probability P(xt ? Ct) to be no less than ? at time t, i.e.,. P(xt ? Ct) ...... 1, into the objective function E[xt], we have. E[xt] = t?1. ? k=0 ekx0 + t?1. ? s

  2. Snyder noncommutative space-time from two-time physics

    SciTech Connect (OSTI)

    Romero, Juan M.; Zamora, Adolfo [Instituto de Ciencias Nucleares, UNAM, Apartado Postal 70-543, Mexico DF (Mexico)

    2004-11-15T23:59:59.000Z

    We show that the two-time physics model leads to a mechanical system with Dirac brackets consistent with the Snyder noncommutative space. A Euclidean version of this space is also obtained and it is shown that both spaces have a dual system describing a particle in a curved space.

  3. Ideally embedded space-times

    E-Print Network [OSTI]

    Haesen, S; Haesen, Stefan; Verstraelen, Leopold

    2004-01-01T23:59:59.000Z

    Due to the growing interest in embeddings of space-time in higher-dimensional spaces we consider a specific type of embedding. After proving an inequality between intrinsically defined curvature invariants and the squared mean curvature, we extend the notion of ideal embeddings from Riemannian geometry to the indefinite case. Ideal embeddings are such that the embedded manifold receives the least amount of tension from the surrounding space. Then it is shown that the de Sitter spaces, a Robertson-Walker space-time and some anisotropic perfect fluid metrics can be ideally embedded in a five-dimensional pseudo-Euclidean space.

  4. Ideally embedded space-times

    E-Print Network [OSTI]

    Stefan Haesen; Leopold Verstraelen

    2004-04-01T23:59:59.000Z

    Due to the growing interest in embeddings of space-time in higher-dimensional spaces we consider a specific type of embedding. After proving an inequality between intrinsically defined curvature invariants and the squared mean curvature, we extend the notion of ideal embeddings from Riemannian geometry to the indefinite case. Ideal embeddings are such that the embedded manifold receives the least amount of tension from the surrounding space. Then it is shown that the de Sitter spaces, a Robertson-Walker space-time and some anisotropic perfect fluid metrics can be ideally embedded in a five-dimensional pseudo-Euclidean space.

  5. Noncommutative space-time models

    E-Print Network [OSTI]

    N. A. Gromov; V. V. Kuratov

    2005-07-01T23:59:59.000Z

    The FRT quantum Euclidean spaces $O_q^N$ are formulated in terms of Cartesian generators. The quantum analogs of N-dimensional Cayley-Klein spaces are obtained by contractions and analytical continuations. Noncommutative constant curvature spaces are introduced as a spheres in the quantum Cayley-Klein spaces. For N=5 part of them are interpreted as the noncommutative analogs of (1+3) space-time models. As a result the quantum (anti) de Sitter, Newton, Galilei kinematics with the fundamental length and the fundamental time are suggested.

  6. The TESLA Time Projection Chamber

    E-Print Network [OSTI]

    Nabil Ghodbane

    2002-12-12T23:59:59.000Z

    A large Time Projection Chamber is proposed as part of the tracking system for a detector at the TESLA electron positron linear collider. Different ongoing R&D studies are reviewed, stressing progress made on a new type readout technique based on Micro-Pattern Gas Detectors.

  7. Time of flight mass spectrometer

    DOE Patents [OSTI]

    Ulbricht, Jr., William H. (Arvada, CO)

    1984-01-01T23:59:59.000Z

    A time-of-flight mass spectrometer is described in which ions are desorbed from a sample by nuclear fission fragments, such that desorption occurs at the surface of the sample impinged upon by the fission fragments. This configuration allows for the sample to be of any thickness, and eliminates the need for complicated sample preparation.

  8. Curricular internship Timing and Duration

    E-Print Network [OSTI]

    Krause, Rolf

    1 Art.1 Curricular internship Art.2 Objectives Art.3 Timing and Duration Art.4 Choice of Employer Art.5 Pertinence of the internship Art.6 Internship Search GRADUATE INTERNSHIP GUIDELINES Faculties training or work experience, herein referred to as `internship', is one of the graduation requirements. 2

  9. Waste to Energy Time Activities

    E-Print Network [OSTI]

    SEMINAR Waste to Energy Time Activities 9:30-9:40 Brief introduction of participants 9:40-10:10 Presentation of Dr. Kalogirou, "Waste to Energy: An Integral Part of Worldwide Sustainable Waste Management" 10. Sofia Bethanis, "Production of synthetic aggregates for use in structural concrete from waste to energy

  10. TIME-RESOLVED VIBRATIONAL SPECTROSCOPY

    SciTech Connect (OSTI)

    Andrei Tokmakoff, MIT (Conference Chair) [Conference Chair; Paul Champion, Northeastern University; Edwin J. Heilweil, NIST; Keith A. Nelson, MIT; Larry Ziegler, Boston University

    2009-05-14T23:59:59.000Z

    This document contains the Proceedings from the 14th International Conference on Time-Resolved Vibrational Spectroscopy, which was held in Meredith, NH from May 9-14, 2009. The study of molecular dynamics in chemical reaction and biological processes using time-resolved spectroscopy plays an important role in our understanding of energy conversion, storage, and utilization problems. Fundamental studies of chemical reactivity, molecular rearrangements, and charge transport are broadly supported by the DOE�s Office of Science because of their role in the development of alternative energy sources, the understanding of biological energy conversion processes, the efficient utilization of existing energy resources, and the mitigation of reactive intermediates in radiation chemistry. In addition, time-resolved spectroscopy is central to all five of DOE�s grand challenges for fundamental energy science. The Time-Resolved Vibrational Spectroscopy conference is organized biennially to bring the leaders in this field from around the globe together with young scientists to discuss the most recent scientific and technological advances. The latest technology in ultrafast infrared, Raman, and terahertz spectroscopy and the scientific advances that these methods enable were covered. Particular emphasis was placed on new experimental methods used to probe molecular dynamics in liquids, solids, interfaces, nanostructured materials, and biomolecules.

  11. Time Management Top 50 Strategies

    E-Print Network [OSTI]

    daily, weekly and term goals in order of priority and work on top priorities. 2. Prioritize each task limitations and do not overschedule yourself. 14. Get sleep, exercise and relaxation to keep your energy up. 15. Figure out your peak times of day for energy and do difficult tasks (e.g.: studying) during

  12. High resolution time interval meter

    DOE Patents [OSTI]

    Martin, A.D.

    1986-05-09T23:59:59.000Z

    Method and apparatus are provided for measuring the time interval between two events to a higher resolution than reliability available from conventional circuits and component. An internal clock pulse is provided at a frequency compatible with conventional component operating frequencies for reliable operation. Lumped constant delay circuits are provided for generating outputs at delay intervals corresponding to the desired high resolution. An initiation START pulse is input to generate first high resolution data. A termination STOP pulse is input to generate second high resolution data. Internal counters count at the low frequency internal clock pulse rate between the START and STOP pulses. The first and second high resolution data are logically combined to directly provide high resolution data to one counter and correct the count in the low resolution counter to obtain a high resolution time interval measurement.

  13. DEVELOPING IMPROVED TRAVEL TIME RELIABILITY MEASURES FOR REAL-TIME AND ARCHIVED ITS DATA

    E-Print Network [OSTI]

    Bertini, Robert L.

    including travel time, 95th percentile travel time, travel time index, buffer index planning time index-based detector data, collected in periodic special studies, or estimated using simulation [1,3]: 95th Percentile between 95th percentile travel time and mean travel time, divided by mean travel time. Planning Time Index

  14. Introduction Space Time Codes Space Time Coding with Feedback New Thoughts Summary Space-Time Coding for Multi-Antenna

    E-Print Network [OSTI]

    Veeravalli, Venugopal

    Introduction Space Time Codes Space Time Coding with Feedback New Thoughts Summary Space 2007 #12;Introduction Space Time Codes Space Time Coding with Feedback New Thoughts Summary MIMO: Diversity vs Multiplexing Multiplexing Diversity Pictures taken from lectures notes on Space Time Coding

  15. Treating Time Travel Quantum Mechanically

    E-Print Network [OSTI]

    John-Mark A. Allen

    2014-10-10T23:59:59.000Z

    The fact that closed timelike curves (CTCs) are permitted by general relativity raises the question as to how quantum systems behave when time travel to the past occurs. Research into answering this question by utilising the quantum circuit formalism has given rise to two theories: Deutschian-CTCs (D-CTCs) and "postselected" CTCs (P-CTCs). In this paper the quantum circuit approach is thoroughly reviewed, and the strengths and shortcomings of D-CTCs and P-CTCs are presented in view of their non-linearity and time travel paradoxes. In particular, the "equivalent circuit model"---which aims to make equivalent predictions to D-CTCs, while avoiding some of the difficulties of the original theory---is shown to contain errors. The discussion of D-CTCs and P-CTCs is used to motivate an analysis of the features one might require of a theory of quantum time travel, following which two overlapping classes of new theories are identified. One such theory, the theory of "transition probability" CTCs (T-CTCs), is fully developed. The theory of T-CTCs is shown not to have certain undesirable features---such as time travel paradoxes, the ability to distinguish non-orthogonal states with certainty, and the ability to clone or delete arbitrary pure states---that are present with D-CTCs and P-CTCs. The problems with non-linear extensions to quantum mechanics are discussed in relation to the interpretation of these theories, and the physical motivations of all three theories are discussed and compared.

  16. Payroll & Human Resources (PHR) System Time Entry Tip Sheet PHR EXEMPT TIME ENTRY PHR EXEMPT TIME ENTRY PHR EXEMPT TIME ENTRY

    E-Print Network [OSTI]

    Shapiro, Benjamin

    , select Quit to exit. Completing Your Timesheet 1. From the Time Entry page, select the appropriate pay - Menu screen, select Quit to exit. Completing Your Timesheet 1. From the Time Entry page, selectPayroll & Human Resources (PHR) System Time Entry Tip Sheet PHR EXEMPT TIME ENTRY PHR EXEMPT TIME

  17. Real time infrared aerosol analyzer

    DOE Patents [OSTI]

    Johnson, Stanley A. (Countryside, IL); Reedy, Gerald T. (Bourbonnais, IL); Kumar, Romesh (Naperville, IL)

    1990-01-01T23:59:59.000Z

    Apparatus for analyzing aerosols in essentially real time includes a virtual impactor which separates coarse particles from fine and ultrafine particles in an aerosol sample. The coarse and ultrafine particles are captured in PTFE filters, and the fine particles impact onto an internal light reflection element. The composition and quantity of the particles on the PTFE filter and on the internal reflection element are measured by alternately passing infrared light through the filter and the internal light reflection element, and analyzing the light through infrared spectrophotometry to identify the particles in the sample.

  18. Regression quantiles for time series

    E-Print Network [OSTI]

    Cai, Zongwu

    2002-02-01T23:59:59.000Z

    ~see, e+g+, Ibragimov and Linnik, 1971, p+ 316!+ Namely, partition REGRESSION QUANTILES FOR TIME SERIES 187 $1, + + + , n% into 2qn 1 1 subsets with large block of size r 5 rn and small block of size s 5 sn+ Set q 5 qn 5 ? n rn 1 sn? , (A.7) where {x...! are the standard Lindeberg–Feller conditions for asymptotic normality of Qn,1 for the independent setup+ Let us first establish ~A+8!+ To this effect, we define the large-block size rn by rn 5 {~nhn!102} and the small-block size sn 5 {~nhn!1020log n}+ Then, as n r...

  19. Time Contortions in Modern Physics

    E-Print Network [OSTI]

    A. F. Kracklauer

    2002-06-24T23:59:59.000Z

    As a basis for epistemological study of ``time,'' we analyze three suspect phenomena introduced by modern physics: non-locality, asymmetric aging and advanced interaction. It is shown that all three arise in connection with what has to be taken as arbitrary ideosyncrasies in formulation. It is shown that minor changes result in internally consistent variations of both Quantum Mechanics and Special Relativity devoid of these phenomena. The reinterpretation of some experiments though to confirm the existence of non-locality and asymmetric aging is briefly considered and a possible test is proposed.

  20. Tests of time-invariance

    E-Print Network [OSTI]

    Busetti, Fabio; Harvey, Andrew C

    as an alternative - or complement - to quan- tiles; see, for example, Newey and Powell (1987), Efron (1991) and, in a time series context, De Rossi and Harvey (2006b). We then de?ne residuals based on expectiles and show that they can be used to construct... based on absolute values, (5), are very close to those of the #17;#28; (DQ) tests in (3). The earlier theoretical analysis indicated that the statistics are identical for known quan- tiles and it appears that enforcing the symmetry restriction when...