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Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

RECS Data Show Decreased Energy Consumption per Household  

Reports and Publications (EIA)

Total United States energy consumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the number and average size of housing units, according to the newly released data from the Residential Energy Consumption Survey (RECS). The average household consumed 90 million British thermal units (Btu) in 2009 based on RECS. This continues the downward trend in average residential energy consumption of the last 30 years. Despite increases in the number and the average size of homes plus increased use of electronics, improvements in efficiency for space heating, air conditioning, and major appliances have all led to decreased consumption per household. Newer homes also tend to feature better insulation and other characteristics, such as double-pane windows, that improve the building envelope.

2012-01-01T23:59:59.000Z

2

Marginal Energy Prices - RECS97 Update  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Marginal Energy Prices - RECS97 Update Marginal Energy Prices - RECS97 Update The original estimation of residential marginal energy prices at the individual household level (as reported in the Marginal Energy Prices Report, http://www.eren.doe.gov/buildings/codes_standards/applbrf/pdfs/marginal_ energy_price.pdf) was based on household energy billing data from EIA's 1993 RECS survey. When the 1997 RECS survey data became available, LBNL updated its estimation of residential marginal energy prices at the individual household level using that data. In addition, LBNL incorporated several refinements (as described below) to the marginal price estimation method it had originally developed. Presented below are the: * RECS97-based results. * Refinements to LBNL's marginal price estimation method.

3

Marginal Energy Prices - RECS97 Update  

NLE Websites -- All DOE Office Websites (Extended Search)

Marginal Energy Prices - RECS97 Update Marginal Energy Prices - RECS97 Update The original estimation of residential marginal energy prices at the individual household level (as reported in the Marginal Energy Prices Report, http://www.eren.doe.gov/buildings/codes_standards/applbrf/pdfs/marginal_ energy_price.pdf) was based on household energy billing data from EIA's 1993 RECS survey. When the 1997 RECS survey data became available, LBNL updated its estimation of residential marginal energy prices at the individual household level using that data. In addition, LBNL incorporated several refinements (as described below) to the marginal price estimation method it had originally developed. Presented below are the: * RECS97-based results. * Refinements to LBNL's marginal price estimation method.

4

Residential Energy Consumption Survey (RECS) - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years

5

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

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

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years

6

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

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years

7

RECS Archive  

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

Archived Publications & Reports Archived Publications & Reports Special Reports (click on table headings to sort) Title Release Year Cycle Year Format Residential Lighting Use and Potential Savings Release Date: September 1996 1996 1993 Preliminary Conservation Tables from National Interim Energy Consumption Survey Release Date: August 1, 1979 1979 1979 PDF RECS Conservation Release Date: February 1980 1980 1979 PDF An Economic Evaluation of Energy Conservation & Renewable Energy Tax Credits Release Date: 10/1985 1985 - PDF Residential Conservation Measures Release Date: July 1986 1986 1984 PDF Weatherization Program Evaluation Release Date: August 20,1984 1984 1981 PDF Measuring Energy Efficiency in the United States' Economy:A Beginning Release Date: October 1995 1995 1993 PDF

8

Residential Energy Consumption Survey (RECS) - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years December 20, 2013 Gas furnace efficiency has large implications for residential natural gas use December 5, 2013 EIA publishes state fact sheets on residential energy consumption and characteristics August 19, 2013 All 48 related articles › Other End Use Surveys Commercial Buildings - CBECS Manufacturing - MECS Transportation About the RECS EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage

9

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

Gasoline and Diesel Fuel Update (EIA)

What's new in our home energy use? What's new in our home energy use? RECS 2009 - Release date: March 28, 2011 First results from EIA's 2009 Residential Energy Consumption Survey (RECS) The 2009 RECS collected home energy characteristics data from over 12,000 U.S. households. This report highlights findings from the survey, with details presented in the Household Energy Characteristics tables. How we use energy in our homes has changed substantially over the past three decades. Over this period U.S. homes on average have become larger, have fewer occupants, and are more energy-efficient. In 2005, energy use per household was 95 million British thermal units (Btu) of energy compared with 138 million Btu per household in 1978, a drop of 31 percent. Did You Know? Over 50 million U.S. homes have three or more televisions.

10

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

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

1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Table Titles (Released: February 2004) Entire Section Percents Tables: HC1 Housing Unit Characteristics, Million U.S. Households PDF PDF NOTE: As of 10/31/01, numbers in the "Housing Units" TABLES section for stub item: "Number of Floors in Apartment Buildings" were REVISED. These numbers will differ from the numbers in the published report. Tables: HC2 Household Characteristics, Million U.S. Households PDF PDF Tables: HC3 Space Heating, Million U.S. Households PDF PDF Tables: HC4 Air-Conditioning, Million U.S. Households PDF PDF Tables: HC5 Appliances, Million U.S. Households PDF PDF

11

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

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

3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Topical Sections Entire Section All Detailed Tables PDF Tables: HC1 Household Characteristics, Million U.S. Households Presents data relating to location, type, ownership, age, size, construction, and householder demographic and income characteristics. PDF Tables: HC2 Space Heating, Million U.S. Households Presents data describing the types of heating fuel and equipment used for main and secondary heating purposes. PDF Tables: HC3 Air-Conditioning, Million U.S. Households Presents data describing selected household characteristics including location, number of rooms and area cooled and air-conditioning usage. PDF

12

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

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

2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ALL Tables HC1: Housing Unit Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Owner-Occupied Housing Unit PDF Four Most Populated States PDF Urban/Rural Location PDF Northeast Census Region PDF Midwest Census Region PDF South Census Region PDF West Census Region PDF Tables HC2: Household Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Housing Unit PDF Type of Owner-Occupied Housing Unit PDF Type of Rented Housing Unit PDF

13

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

Gasoline and Diesel Fuel Update (EIA)

EIA household energy use data now includes detail on 16 States EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census Regions and nine Divisions. In 1997, EIA produced additional tabulations for the four most populous States (California, New York, Texas, and Florida). A threefold increase in the number of households included in the 2009 RECS offers more accuracy and coverage for understanding energy usage for all estimated States, Regions and Divisions.

14

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

Gasoline and Diesel Fuel Update (EIA)

How does EIA estimate energy consumption and end uses in U.S. homes? How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses â€" information critical to meeting future energy demand and improving efficiency and building design. RECS uses a multi-stage area probability design to select sample methodology figure A multi-stage area probability design ensures the selection

15

DSW REC Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Renewable Energy Credits for DSW Hydro Power Projects Renewable Energy Credits for DSW Hydro Power Projects The DSW Regional Office is proposing a program to make Renewable Energy Credits (RECS) from the Boulder Canyon and/or Parker-Davis Projects available to our electric service customers who receive energy from these Projects. Select from the following options: Customer and Interested Parties Final letter Final program Resources Bureau of Reclamation Project Summaries Davis Power Plant Hoover Power Plant Parker Power Plant DSIRE - A database of Federal, State and local incentives for renewables and efficiency, including State Renewables Portfolio Standards WREGIS - An independent, renewable energy tracking system for the region covered by the Western Electricity Coordinating Council (WECC). WREGIS Fee Matrix & Definitions - A document containing WREGIS fees according to Account Holder, as well as Account Holder definitions.

16

RECS student sequestration program  

SciTech Connect

The 2007 Research Experiment in Carbon Sequestration (RECS) met at the Montana State University (MSU) and a variety of field sites over the 10-day period of July 29 - Aug 10. This year's group consisted of 17 students from graduate and doctoral programs in the United States and Canada, as well as early career professionals in fields related to carbon mitigation. Appropriately, because greenhouse gas reduction and storage is a global problem, the group included seven international students, from France, Iran, Paraguay, Turkey, Russia and India. Classroom talks featured experts from academia, government, national laboratories, and the private sector, who discussed carbon capture and storage technologies and related policy issues. Then, students traveled to Colstrip, Montana to visit PPL Montana's coal-fired power plant and view the local geology along the Montana/Wyoming border. Finally, students spent several days in the hands-on work at ZERT, using carbon dioxide detection and monitoring equipment. 1 photo.

NONE

2007-12-31T23:59:59.000Z

17

Modeling households decisions on reconstruction of houses damaged by earthquakesJapanese case study  

Science Journals Connector (OSTI)

In this study, households decisions on reconstruction of damaged houses were modeled, using questionnaire data in Japan. Characteristics of households decisions were investigated using parameter estimation resu...

H. Sakakibara; H. Murakami; S. Esaki; D. Mori; H. Nakata

2008-02-01T23:59:59.000Z

18

RECs Workshop Panelist Discussion Questions  

NLE Websites -- All DOE Office Websites (Extended Search)

Challenges Challenges Panel #1: Discussion Panel on REC Markets, Prices, Trading, and Liquidity Moderator, Karlynn Cory, National Renewable Energy Laboratory Brent Beerley, IBERDROLA - Marketer Perspective Carrie Cullen-Hitt, Constellation NewEnergy - Retailer Perspective Carrie Plemons, PPM Energy - Generator Perspective John Pappas, PG&E - Purchaser Perspective Jim Scarrow, Chadbourne & Parke - Financier Perspective * Where do RECs have the greatest value today? What factors drive differences in value? Do you expect this to change over time? * How important are prospective REC revenue streams to project finance decisions? How certain are these revenue streams? What are the key market risks? How can REC revenues play a greater role in project finance? What governmental actions, at the state or federal

19

The RECS relies on the respondents to provide the energy related details of their homes  

Gasoline and Diesel Fuel Update (EIA)

Householder's Perceptions of Insulation Adequacy and Householder's Perceptions of Insulation Adequacy and Drafts in the Home in 2001 Behjat Hojjati , PhD Energy Information Administration U.S. Department of Energy 1000 Independence Ave., SW, EI-63 Washington, DC 20585 behjat.hojjati@eia.doe.gov September 2004 Abstract In order to improve the estimation of end-use heating consumption, the Energy Information Administration's (EIA), 2001 Residential Energy Consumption Survey (RECS), for the first time, asked respondents to judge how drafty they perceived their homes to be as a measure of insulation quality. The analysis of the 2001 RECS data shows that householders in newly- constructed homes perceived their homes to be better insulated and less drafty than do householders in older homes. Single-family homes are perceived to be better insulated and less

20

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

Gasoline and Diesel Fuel Update (EIA)

Air conditioning in nearly 100 million U.S. homes Air conditioning in nearly 100 million U.S. homes RECS 2009 - Release date: August 19, 2011 line chart:air conditioning in U.S. figure dataExcept in the temperate climate regions along the West coast, air conditioners (AC) are now standard equipment in most U.S. homes (Figure 1). As recently as 1993, only 68% of all occupied housing units had AC. The latest results from the 2009 Residential Energy Consumption Survey (RECS) show that 87 percent of U.S. households are now equipped with AC. This growth occurred among all housing types and in every Census region. Wider use has coincided with much improved energy efficiency standards for AC equipment, a population shift to hotter and more humid regions, and a housing boom during which average housing sizes increased.

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

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

Gasoline and Diesel Fuel Update (EIA)

The impact of increasing home size on energy demand The impact of increasing home size on energy demand RECS 2009 - Release date: April 19, 2012 Homes built since 1990 are on average 27% larger than homes built in earlier decades, a significant trend because most energy end-uses are correlated with the size of the home. As square footage increases, the burden on heating and cooling equipment rises, lighting requirements increase, and the likelihood that the household uses more than one refrigerator increases. Square footage typically stays fixed over the life of a home and it is a characteristic that is expensive, even impractical to alter to reduce energy consumption. According to results from EIA's 2009 Residential Energy Consumption Survey (RECS), the stock of homes built in the 1970s and 1980s averages less than

22

Marginal Energy Prices- RECS97 Update  

Energy.gov (U.S. Department of Energy (DOE))

An updated estimation of residential marginal energy prices at the individual house level using the 1997 RECS survey data

23

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

Gasoline and Diesel Fuel Update (EIA)

Share of energy used by appliances and consumer electronics increases in Share of energy used by appliances and consumer electronics increases in U.S. homes RECS 2009 - Release date: March 28, 2011 Over the past three decades, the share of residential electricity used by appliances and electronics in U.S. homes has nearly doubled from 17 percent to 31 percent, growing from 1.77 quadrillion Btu (quads) to 3.25 quads. This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energy consumption actually decreased from 10.58 quads to 10.55 quads, and energy use per household fell 31 percent. Federal energy efficiency standards have greatly reduced consumption for home heating Total energy use in all U.S. homes occupied as primary residences decreased slightly from 10.58 quads in 1978 to 10.55 quads in 2005 as reported by the

24

REC Tracking Systems Design Guide  

SciTech Connect

OAK-B135 The Design Guide is presented in three parts. Section II describes the need for REC tracking, the two principal tracking methods available, and, in simple terms, the operation of certificate-based systems. Section III presents the major issues in the design of certificate-based tracking systems and discusses the advantages and disadvantages of alternative solutions. Finally, Section IV offers design principles or recommendations for most of these issues.

Meredith Wingate

2004-02-03T23:59:59.000Z

25

Household energy consumption and expenditures 1993  

SciTech Connect

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.

NONE

1995-10-05T23:59:59.000Z

26

Green Power Network: Renewable Energy Certificates (RECs)  

NLE Websites -- All DOE Office Websites (Extended Search)

Table of Retail Products Table of Retail Products Table of Commercial Certificate Marketers List of REC Marketers REC Prices National Renewable Energy Certificate Tracking Systems Map Carbon Offsets State Policies Renewable Energy Certificates (RECs) Renewable energy certificates (RECs), also known as renewable energy credits, green certificates, green tags, or tradable renewable certificates, represent the environmental attributes of the power produced from renewable energy projects and are sold separate from commodity electricity. Customers can buy green certificates whether or not they have access to green power through their local utility or a competitive electricity marketer. And they can purchase green certificates without having to switch electricity suppliers. Table of Retail Products

27

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

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

F (2001) -- Household Natural Gas Usage Form F (2001) -- Household Natural Gas Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Natural Gas Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

28

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

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

E (2001) - Household Electricity Usage Form E (2001) - Household Electricity Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Electricity Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

29

K. Stromswold, 2003 Perinatal Factors Questionnaire (Singleton Version) 1 PERINATAL FACTORS & DEVELOPMENT QUESTIONNAIRE (Singleton Version)  

E-Print Network (OSTI)

parents, your household arrangements, etc., please use the back of this questionnaire to inform us. Ethnicity: _ Hispanic or Latino _ Not Hispanic or Latino Race (you may check multiple categories was born Biological father's age when the child was born Total household income: _

Stromswold, Karin

30

Renewable Energy Certificate (REC) Tracking Systems: Costs & Verification Issues (Presentation)  

SciTech Connect

This document provides information on REC tracking systems: how they are used in the voluntary REC market, a comparison of REC systems fees and information regarding how they treat environmental attributes.

Heeter, J.

2013-10-01T23:59:59.000Z

31

Inhibition of RecA Protein by the Escherichia coli RecX Protein MODULATION BY THE RecA C TERMINUS AND FILAMENT FUNCTIONAL STATE*  

E-Print Network (OSTI)

, often but not always found as it is in E. coli, just downstream of the recA gene (21­26). A palindromic sequence separates the two E. coli genes (27). The resulting hairpin interrupts transcriptional read on the RecX protein. We conclude that RecX protein interacts most effectively with a RecA func- tional state

Cox, Michael M.

32

Steamboat Springs Health and Rec. Pool & Spa Low Temperature...  

Open Energy Info (EERE)

Springs Health and Rec. Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Steamboat Springs Health and Rec. Pool & Spa Low Temperature Geothermal...

33

Quick Guide: Renewable Energy Certificates (RECs) (Fact Sheet)  

SciTech Connect

Guide for Federal agencies considering renewable energy certificate (REC) purchases to fulfill Federal renewable energy requirements.

Not Available

2011-07-01T23:59:59.000Z

34

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

35

RECs: Tapping Into The Commercial Customer  

NLE Websites -- All DOE Office Websites (Extended Search)

June 2004 issue June 2004 issue Copyright © 2004 Zackin Publications Inc. All Rights Reserved. RECs: Tapping Into The Commercial Customer Making the business case for renewable energy certificates bought by large corporations. BY CRAIG HANSON AND VINCE VAN SON I n last month's issue, we introduced the renewable energy certificate (REC), a relatively new product that represents the environmental and other non-electrical attributes associated with 1 MWh of electricity generated from renewable resources. We also reported that several major U.S. corporations, including Alcoa, Cargill Dow LLC, Delphi Corp., DuPont, Interface, Johnson & Johnson, Kinko's, Pitney Bowes and Sta- ples, completed the nation's largest aggre- gate corporate purchase of RECs in Sep- tember 2003. Together, these members of

36

Status Report on REC Verification, Tracking and Associated Issues  

NLE Websites -- All DOE Office Websites (Extended Search)

REC REC Verification, Tracking Systems and Associated Issues DOE Workshop on REC Markets and Challenges September 11, 2007 Meredith Wingate Director of Clean Energy Policy Design and Implementation Center for Resource Solutions Main Points * Think National - Verification issues are getting more complicated with the intersection of RECs and emissions markets - Market needs more rigorous verification * More coordination is needed Role of Tracking Systems * Primary tool for implementing state RPS programs * Produce data for environmental disclosure programs * Facilitate REC transactions Certificate-based Tracking Programs * ERCOT RECs Program (2001) * NEPOOL GIS (2002) * WI RRC Program (2003-2007) * PJM GATS (2005) * NJ SRECS (2005) * WREGIS (2007) * M-RETS (2007) * New York State (2008?)

37

Residential Energy Consumption Survey (RECS) - Energy Information  

NLE Websites -- All DOE Office Websites (Extended Search)

Consumption Survey (RECS) - U.S. Energy Information Consumption Survey (RECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels

38

char_household2001.pdf  

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

Household Tables Household Tables (Million U.S. Households; 24 pages, 122 kb) Contents Pages HC2-1a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 2 HC2-2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 2 HC2-3a. Household Characteristics by Household Income, Million U.S. Households, 2001 2 HC2-4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 2001 2 HC2-5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2 HC2-6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 2 HC2-7a. Household Characteristics by Four Most Populated States, Million U.S. Households, 2001 2

39

Renewable Energy Concepts Solar Inc REC Solar | Open Energy Information  

Open Energy Info (EERE)

Concepts Solar Inc REC Solar Concepts Solar Inc REC Solar Jump to: navigation, search Name Renewable Energy Concepts Solar Inc (REC Solar) Place San Luis Obispo, California Zip 93401 Sector Solar Product US-based solar system installer, specialising in grid-tied installation and servicing mainly California, Colorado, and New Jersey. Not in any way affiliated with Norwegian integrated PV manufacturer REC, which has a division called REC Solar. References Renewable Energy Concepts Solar Inc (REC Solar)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Renewable Energy Concepts Solar Inc (REC Solar) is a company located in San Luis Obispo, California . References ↑ "Renewable Energy Concepts Solar Inc (REC Solar)"

40

AEP Ohio - Renewable Energy Credit (REC) Purchase Program | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

AEP Ohio - Renewable Energy Credit (REC) Purchase Program AEP Ohio - Renewable Energy Credit (REC) Purchase Program AEP Ohio - Renewable Energy Credit (REC) Purchase Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Solar Buying & Making Electricity Wind Program Info Start Date 07/2011 State Ohio Program Type Performance-Based Incentive Rebate Amount 2011 Solar: $300/REC 2012-2013 Solar: $262.50/REC 2011-2013 Wind: $34/REC Provider AEP Ohio '''''Note: This program is currently closed. All RECs were required to be transfered into AEP Ohio's GATS account by July 15, 2013 in order to be eligible for the program. No information is available regarding future solicitations. Check the program web site for more information. '''''

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

REC Solar (Colorado) | Open Energy Information  

Open Energy Info (EERE)

Colorado) Colorado) Jump to: navigation, search Logo: REC Solar Name REC Solar Address 9032 Marshall Court Place Westminster, Colorado Zip 80030 Sector Solar Product Solar panel installer Website http://recsolar.com/ Coordinates 39.860526°, -105.066446° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.860526,"lon":-105.066446,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

42

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

43

Households and Pension  

Science Journals Connector (OSTI)

This chapter deals with two economic issues. First, we examine Japans household structure. In the previous chapter ( Chapter 10 ...), we recognized the importance of the ...

Mitsuhiko Iyoda

2010-01-01T23:59:59.000Z

44

HOUSEHOLD SOLAR POWER SYSTEM.  

E-Print Network (OSTI)

?? Photovoltaic power has become one of the most popular research area in new energy field. In this report, the case of household solar power (more)

Jiang, He

2014-01-01T23:59:59.000Z

45

Regional REC and RPS Best Practices  

SciTech Connect

The Great Lakes Renewable Energy Association conducted a program to explore the development of Renewable Energy Portfolio Standards and Renewable Energy Certificate Markets in the Midwest. The initiative represented the collaboration between the four state energy offices of Illinois, Indiana, Michigan and Ohio, the Great Lakes Renewable Energy Association (GLREA) and the Clean Energy State Alliance (CESA). The multi-state project explored the opportunities in the Midwest to expand the renewable energy market through Renewable Energy Portfolio Standards (RPS) and the trading of Renewable Energy Credits (RECs).

Jennifer Alvarado

2009-09-30T23:59:59.000Z

46

EIA - Household Transportation report: Household Vehicles Energy  

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

4 4 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1994 August 1997 Release Next Update: EIA has discontinued this series. Based on the 1994 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use

47

Household Vehicles Energy Consumption 1991  

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

methodology used to estimate these statistics relied on data from the 1990 Residential Energy Consumption Survey (RECS), the 1991 Residential Transportation Energy Consumption...

48

Household Vehicles Energy Consumption 1991  

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

homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for...

49

Appendix B: Questionnaire B1: Questionnaire  

E-Print Network (OSTI)

months don't know 10. Is the child Spanish/Hispanic/Latino? Yes No Don't know 10a. If yes, what country many children and adults currently live in the child's household? #12;12a. Please enter the number

50

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

Gasoline and Diesel Fuel Update (EIA)

Where does RECS square footage data come from? Where does RECS square footage data come from? RECS 2009 - Release date: July 11, 2012 The size of a home is a fixed characteristic strongly associated with the amount of energy consumed within it, particularly for space heating, air conditioning, lighting, and other appliances. As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow comparison of homes with varying characteristics. In-person measurements are vital because many alternate data sources, including property tax records, real estate listings, and, respondent estimates use varying definitions and under-estimate square footage as defined for the purposes of evaluating residential energy consumption.

51

Dubois REC - Residential Energy Efficiency Rebate Program | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Dubois REC - Residential Energy Efficiency Rebate Program Dubois REC - Residential Energy Efficiency Rebate Program Dubois REC - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Water Heater: $50 - $400 Central Air Conditioner: $200 - $300 Air-source Heat Pump: $300 - $1,000 Dual Fuel Heat Pump: $300 - $400 Geothermal Heat Pump: $1,000 ETS Room Unit: $30/kW ETS Whole House Unit: $300 - $400 Provider Dubois REC Dubois REC offers a variety of rebates for residential customers to save energy in new or existing homes. Rebates are offered for geothermal and air-source heat pumps, central air conditioners, electric water heaters,

52

REC Solar (Oregon) | Open Energy Information  

Open Energy Info (EERE)

Oregon) Oregon) Jump to: navigation, search Name REC Solar Address 833 SE Main Street Place Portland, Oregon Zip 97214 Sector Solar Product Solar panel installer Website http://recsolar.com/ Coordinates 45.5136593°, -122.657084° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.5136593,"lon":-122.657084,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

53

Microsoft Word - LAP REC Principles - FINAL 2010-08-02.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

customers will be allowed to request RECs from generation units under 30 MW, and from Colorado and Wyoming based generation. Western will define further subsets of RECs as...

54

C:MydocsMYDOCSHATTIERECS97recsForms97Mail.PDF  

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

B (1997) B (1997) Form Approval: OMB No.: 1905-0092 Nationwide Survey on Household Energy Use Expires: March 31, 2000 The numbers in parentheses are for office use only. This survey is being conducted for the U.S. Department of Energy by Response Analysis Corporation. The survey is voluntary and is authorized under the Federal Energy Administration Act of 1974 (Public Law 93-275), as amended. Information about specific households will be kept strictly confidential. The data will be summarized within large groupings for statistical purposes. We estimate that it will take 20 minutes to complete this questionnaire. Send comments regarding this estimate or any other aspects of this collection of information, including suggestions for reducing the length of this questionnaire, to the Energy Information

55

C:MydocsMYDOCSHATTIERECS97recsForms97HHQUES.PDF  

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

7) 7) Form Approval: OMB No.: 1905-0092 Household Questionnaire Expires: March 31, 2000 U.S. Department of Energy Energy Information Administration 1997 Residential Energy Consumption Survey Household Questionnaire INTRODUCTION TO INTERVIEW Hello, I am __________________________ from Response Analysis Corporation, a social science research firm. We are conducting a study for the U.S. Department of Energy about energy consumption in homes. Although your participation is voluntary, we hope you will participate in this important study of energy usage. Your identity and all the responses you give me will be kept strictly confidential. The survey will take about 30 minutes. Public reporting burden for this collection of information is estimated to average 30 minutes per response. Any comments you may have

56

The Household Pie  

Science Journals Connector (OSTI)

The discussion of theoretical, conceptual, and methodological concerns in the last three chapters has set the stage for an examination of the total effort that households devote to domestic and market activiti...

Sarah Fenstermaker Berk

1985-01-01T23:59:59.000Z

57

Workshop on REC Markets and Challenges 2007, Summary  

NLE Websites -- All DOE Office Websites (Extended Search)

Keystone Center and NREL 1 Keystone Center and NREL 1 DOE-EERE Workshop on Renewable Energy Certificate (REC) Markets and Challenges - September 11, 2007 Workshop Summary Background The U.S. Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE) sponsored a one-day workshop for a diverse group of renewable energy certificate (REC) market participants and policy thought leaders on September 11, 2007. In doing so, DOE hopes to foster broad and liquid REC markets and to maximize investment in renewables. Approximately 65 individuals (see participant list in Appendix A) representing state and federal government agencies, renewable energy project developers, REC tracking systems, brokers, marketers, financiers, and other stakeholders gathered in Washington, D.C. At the workshop,

58

usage_household2001.pdf  

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

Usage Indicators Tables Usage Indicators Tables (Million U.S. Households; 60 pages, 247 kb) Contents Pages HC6-1a. Usage Indicators by Climate Zone, Million U.S. Households, 2001 5 HC6-2a. Usage Indicators by Year of Construction, Million U.S. Households, 2001 5 HC6-3a. Usage Indicators by Household Income, Million U.S. Households, 2001 5 HC6-4a. Usage Indicators by Type of Housing Unit, Million U.S. Households, 2001 5 HC6-5a. Usage Indicators by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC6-6a. Usage Indicators by Type of Rented Housing Unit, Million U.S. Households, 2001 5 HC6-7a. Usage Indicators by Four Most Populated States, Million U.S. Households, 2001 5

59

housingunit_household2001.pdf  

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

Housing Unit Tables Housing Unit Tables (Million U.S. Households; 49 pages, 210 kb) Contents Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 5 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 2001 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 2001 4 HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 4 HC1-6a. Housing Unit Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 4 HC1-7a. Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 2001 4

60

homeoffice_household2001.pdf  

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

Home Office Equipment Tables Home Office Equipment Tables (Million U.S. Households; 12 pages, 123 kb) Contents Pages HC7-1a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 1 HC7-2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 1 HC7-3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 1 HC7-4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 1 HC7-5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 1 HC7-6a. Home Office Equipment by Type of Rented Housing Unit, Million U.S. Households, 2001 1 HC7-7a. Home Office Equipment by Four Most Populated States, Million U.S. Households, 2001 1

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

ATP Hydrolysis and DNA Binding by the Escherichia coli RecF Protein*  

E-Print Network (OSTI)

ATP Hydrolysis and DNA Binding by the Escherichia coli RecF Protein* (Received for publication ATP hydrolytic activity. ATP hydrolysis leads to RecF dissociation from double-stranded (ds to DNA. A mutant RecF protein that can bind but cannot hydrolyze ATP (RecF K36R) does not readily

Cox, Michael M.

62

NEPA Lessons Learned Questionnaire  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Learned Questionnaire Learned Questionnaire Office of NEPA Policy and Compliance U.S. Department of Energy Preface Your timely completion of this questionnaire will 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. In accordance with DOE Order 451.1B, National Environmental Policy Act Compliance Program, NEPA Document Managers and NEPA Compliance Officers should fill out a questionnaire (separately or jointly) as soon as possible after completing each environmental impact statement (EIS) and environmental assessment (EA). Other document preparation team members are encouraged to also submit a questionnaire. The questionnaire is designed to structure your responses, but you should feel free to attach a statement describing

63

Household portfolios in Japan  

Science Journals Connector (OSTI)

I provide a detailed description and in-depth analysis of household portfolios in Japan. (1) It is shown that the share of equities in financial wealth and the stock market participation of Japanese households decreased throughout the 1990s. (2) Using survey data, age-related variations in the share of stocks in financial wealth are analyzed. The equity share and stock market participation increase with age among young households, peaking when people reach their 50s, and then stabilizing. However, the share of equities conditional on ownership exhibits no significant age-related pattern, implying that age-related patterns are primarily explained by the decision to hold stocks. A similar mechanism operates to that found in previous studies of Western countries. (3) Owner-occupied housing has a significantly positive effect on stock market participation and on the share of stocks in financial wealth.

Tokuo Iwaisako

2009-01-01T23:59:59.000Z

64

Early Station Costs Questionnaire  

NLE Websites -- All DOE Office Websites (Extended Search)

Early Station Costs Questionnaire Early Station Costs Questionnaire Marc Melaina Hydrogen Technologies and Systems Center Market Readiness Workshop February 16-17th, 2011 Washington, DC Questionnaire Goals * The Early Station Costs questionnaire provides an anonymous mechanism for organizations with direct experience with hydrogen station costs to provide feedback on current costs, near-term costs, economies of scale, and R&D priorities. * This feedback serves the hydrogen community and government agencies by increasing awareness of the status of refueling infrastructure costs National Renewable Energy Laboratory Innovation for Our Energy Future Questions for Market Readiness Workshop Attendees * Are these questions the right ones to be asking?

65

Household Vehicles Energy Use Cover Page  

Annual Energy Outlook 2012 (EIA)

Household Vehicles Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback *...

66

"Keeping Up" or "Keeping Afloat"? : how American households accumulate wealth  

E-Print Network (OSTI)

having a Black or Hispanic household head, and experiencingBlack households, Hispanic households, poor households, etc.that Black- and Hispanic- headed households appear to be at

Lundy, Jeffrey Dalton

2012-01-01T23:59:59.000Z

67

Household Vehicles Energy Consumption 1991  

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

. . Trends in Household Vehicle Stock The 1991 RTECS counted more than 150 million vehicles in use by U.S. households. This chapter examines recent trends in the vehicle stock, as measured by the RTECS and other reputable vehicle surveys. It also provides some details on the type and model year of the household vehicle stock, and identifies regional differences in vehicle stock. Because vehicles are continuously being bought and sold, this chapter also reports findings relating to turnover of the vehicle stock in 1991. Finally, it examines the average vehicle stock in 1991 (which takes into account the acquisition and disposal of household vehicles over the course of the year) and identifies variations in the average number of household vehicles based on differences in household characteristics. Number of Household Vehicles Over the past 8 years, the stock of household vehicles has

68

Household Vehicles Energy Consumption 1991  

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

Aggregate Aggregate Ratio: See Mean and Ratio Estimate. AMPD: Average miles driven per day. See Appendix B, "Estimation Methodologies." Annual Vehicle Miles Traveled: See Vehicle Miles Traveled. Automobile: Includes standard passenger car, 2-seater car and station wagons; excludes passenger vans, cargo vans, motor homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for all RTECS households divided by the total number of households. See Ratio Estimate, and Combined Household Energy Expenditures. Average Number of Vehicles per Household: The average number of vehicles used by a household for personal transportation during 1991. For this report, the average number of vehicles per household is computed as the ratio of the total number of vehicles to the

69

Utility Access Questionnaire | Utility Access Questionnaire  

Open Energy Info (EERE)

Questionnaire Questionnaire We are not currently accepting submissions. Thank you for your interest. Want to change your response? OMB Control Number: 1910-5164 Expiration Date: 9/30/2016 Public reporting burden for this collection of information is estimated to average 20 minutes per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Office of Management, Paperwork Reduction Project (1910-0400), U.S. Department of Energy, 1000 Independence Avenue, S.W., Washington, DC 20585; and to the Office of Management and Budget (OMB),

70

Household equipment of Canadians -- features of the 1993 stock and the 1994 and 1995 purchases: Analysis report  

SciTech Connect

This report reviews the results of three surveys that collected information on household equipment: The 1994 and 1995 Household Equipment Surveys and the 1993 Survey of Household Energy Use. The goal of the report is to highlight the features of energy-consuming equipment bought by Canadian households in 1994 and 1995 in comparison to those owned by households in 1993. Results are presented by type of equipment: Refrigerators, stoves, dishwashers, freezers, automatic washers, automatic dryers, air conditioning systems, heating systems, and water heaters. Appendices include information on survey methodology and a copy of the survey questionnaire.

Not Available

1997-01-01T23:59:59.000Z

71

Screener Questionnaire [PROMPT IF SKIP  

E-Print Network (OSTI)

household purchased seafood (fish or shellfish) in a retail outlet (e.g., a grocery store, fish or meat ANSWERS] S2. What are the most important reasons that led your household to not purchase any seafood (fish reasons. Seafood is too expensive. No seafood is available where I live. I don't like / my household doesn

72

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

E-Print Network (OSTI)

be damaged when corrosive chemicals are put down the drain. Burning hazardous wastes simply distributes themHousehold Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products containing toxic chemicals. These wastes CANNOT be disposed of in regular garbage. Any

de Lijser, Peter

73

Residential Energy Consumption Survey (RECS) - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

RECS Terminology RECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ A Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial," "Residential," and "Other" Suppliers' definitions of these terms vary from supplier to supplier and from the definitions used in the Residential Energy Consumption Survey (RECS). In addition, the same customer may be classified differently by each of its energy suppliers. Adequacy of Insulation: The respondent's perception of the adequacy of the housing unit's insulation. Aggregate Ratio: The ratio of two population aggregates (totals). For

74

Plumas-Sierra REC - PV Rebate Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

PV Rebate Program PV Rebate Program Plumas-Sierra REC - PV Rebate Program < Back Eligibility Agricultural Commercial Industrial Nonprofit Residential Savings Category Solar Buying & Making Electricity Maximum Rebate $6,000 for residential; $12,000 for small commercial, agricultural and non-profit applications; $20,000 for large commercial and industrial applications Program Info State California Program Type Utility Rebate Program Rebate Amount 2012 rebate level: $2.09/watt (AC) Incentives will be adjusted based on expected performance. Provider Plumas-Sierra REC Plumas-Sierra REC offers an incentive for its customers to install photovoltaic (PV) systems on homes and businesses. Rebates are available for qualifying systems between one kilowatt (kW) and 25 kW; the rebate amount is based on the installed capacity. The rebate level will decreases

75

Ventilation Behavior and Household Characteristics in NewCalifornia Houses  

SciTech Connect

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.

Price, Phillip N.; Sherman, Max H.

2006-02-01T23:59:59.000Z

76

ac_household2001.pdf  

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

Air Conditioning Tables Air Conditioning Tables (Million U.S. Households; 24 pages, 138 kb) Contents Pages HC4-1a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 2 HC4-2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 2 HC4-3a. Air Conditioning by Household Income, Million U.S. Households, 2001 2 HC4-4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 2 HC4-5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2 HC4-6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 2 HC4-7a. Air Conditioning by Four Most Populated States, Million U.S. Households, 2001 2 HC4-8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 2

77

An exploratory study of Spanish households' WEEE disposal behaviour  

Science Journals Connector (OSTI)

This paper presents the findings of an exploratory study based on a survey of 1,537 households in Spain. The questionnaire included 23 key questions regarding the number of appliances in use, previous appliances lifetimes, reasons for buying each new appliance and end-of-life handling of discarded appliances. The distribution of the households along a number of relevant factors was analysed and a prototypical household was identified. A non-parametric analysis of the duration of each type of appliance has also been carried out and it was found that television sets are the most durable of the appliances considered. Survival rates for irons fall more rapidly than for microwaves. Moreover, television sets are the most durable of the appliances considered. Replacement rates of personal computers rapidly increase after approximately six to eight years. Finally, a statistical analysis of the respondents motivations for recycling the appliances considered in this study was carried out.

Ester Gutiérrez; Belarmino Adenso-Díaz; Sebastián Lozano; Plácido Moreno

2011-01-01T23:59:59.000Z

78

Household Vehicles Energy Consumption 1991  

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

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

79

Household Vehicles Energy Consumption 1991  

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

vehicle aging have an additional but unknown effect on the MPG of individual vehicles. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 27 Of the...

80

RecA-mediated SOS induction requires an extended filament conformation but no ATP hydrolysis  

E-Print Network (OSTI)

RecA-mediated SOS induction requires an extended filament conformation but no ATP hydrolysis filament on single-stranded DNA and hydrolyzes ATP. The RecA K72R (recA2201) muta- tion eliminates in the presence of ATP. Strains with this mutation do not undergo SOS induction in vivo. We have combined the K72R

Cox, Michael M.

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

char_household2001.pdf  

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

3a. Household Characteristics by Household Income, 3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Household Size 1 Person ....................................... 28.2 9.7 -- -- -- 6.5 11.3 5.7 2 Persons ...................................... 35.1 4.3 -- -- -- 2.0 7.8 5.8 3 Persons ...................................... 17.0 -- 3.3 -- -- 2.2 5.2 7.3 4 Persons ...................................... 15.6 -- 2.2 -- -- -- 4.3 8.1 5 Persons ...................................... 7.1

82

Household Vehicles Energy Consumption 1991  

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

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

83

char_household2001.pdf  

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

0a. Household Characteristics by Midwest Census Region, 0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 24.5 17.1 7.4 NE Household Size 1 Person ...................................................... 28.2 6.7 4.7 2.0 6.2 2 Persons .................................................... 35.1 8.0 5.4 2.6 5.0 3 Persons .................................................... 17.0 3.8 2.7 1.1 7.9 4 Persons .................................................... 15.6 3.5 2.5 1.0 8.1 5 Persons .................................................... 7.1 1.7

84

char_household2001.pdf  

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

2a. Household Characteristics by West Census Region, 2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.8 1.1 Total .............................................................. 107.0 23.3 6.7 16.6 NE Household Size 1 Person ...................................................... 28.2 5.6 1.8 3.8 5.4 2 Persons .................................................... 35.1 7.3 1.9 5.5 4.9 3 Persons .................................................... 17.0 3.5 0.9 2.6 7.6 4 Persons .................................................... 15.6 3.5 1.1 2.4 6.4 5 Persons .................................................... 7.1 2.0 0.6 1.4 9.7 6 or More Persons

85

Asset Pricing with Countercyclical Household Consumption Risk  

E-Print Network (OSTI)

1 Asset Pricing with Countercyclical Household Consumption Risk George M. Constantinides that shocks to household consumption growth are negatively skewed, persistent, and countercyclical and play that drives the conditional cross-sectional moments of household consumption growth. The estimated model

Sadeh, Norman M.

86

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

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

5 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 5 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Housing Characteristics Tables + EXPAND ALL Floorspace - Housing Characteristics PDF (all tables) Total Floorspace All, Heated, and Cooled Floorspace (HC1.1.1) PDF XLS Average Floorspace All Housing Units (HC1.1.2) PDF XLS Single Family and Mobile Homes (HC1.1.3) PDF XLS Apartments (HC1.1.4) PDF XLS Usage Indicators Heated Floorspace (HC1.3) PDF XLS Cooled Floorspace (HC1.4) PDF XLS Floorspace - Living Space PDF (all tables) Total Floorspace All, Heated, and Cooled Floorspace (HC1.2.1) PDF XLS Average Floorspace All Housing Units (HC1.2.2) PDF XLS Single Family and Mobile Homes (HC1.2.3) PDF XLS Apartments (HC1.2.4) PDF XLS

87

Household vehicles energy consumption 1994  

SciTech Connect

Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

NONE

1997-08-01T23:59:59.000Z

88

EIA - Household Transportation report: Household Vehicles Energy Use:  

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

Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Use: Latest Data & Trends November 2005 Release (Next Update: Discontinued) Based on the 2001 National Household Travel Survey conducted by the U.S. Department of Transportation and augmented by EIA Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses in an effort to maintain consistency with its past residential transportation series, which was discontinued after 1994. This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of this report is to release the latest consumer-based data

89

Conversion of Questionnaire Data  

SciTech Connect

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.

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

2011-01-01T23:59:59.000Z

90

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

Gasoline and Diesel Fuel Update (EIA)

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

91

Household vehicles energy consumption 1991  

SciTech Connect

The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

Not Available

1993-12-09T23:59:59.000Z

92

ac_household2001.pdf  

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

3a. Air Conditioning by Household Income, 3a. Air Conditioning by Household Income, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.9 1.5 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 12.3 17.4 21.5 31.7 9.6 23.4 3.9 Air Conditioners Not Used ............ 2.1 0.4 0.7 0.5 0.5 0.4 0.9 20.8 Households Using Electric Air-Conditioning 2 .......................... 80.8 11.9 16.7 21.0 31.2 9.1 22.6 3.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 .............. 57.5 6.2 10.7 15.2 25.3 4.5 12.4 5.3 Without a Heat Pump .................. 46.2 4.9 9.1 12.1 20.1 3.6 10.4 6.1 With a Heat Pump

93

Communications on energy Household energy conservation  

Science Journals Connector (OSTI)

This study assesses the influence of attitudinal and socio-economic factors on household energy conservation actions. A household interview survey in Regina, Saskatchewan found that respondents perceive an energy problem, although no association with energy conservation actions was determined. Two attitudinal and five socio-economic variables influence household energy conservation. Energy and monetary savings are available to households through energy conservation. Public awareness of household energy conservation through the media can reinforce existing energy conservation actions and encourage new actions.

Fred A. Curtis; P. Simpson-Housley; S. Drever

1984-01-01T23:59:59.000Z

94

Household solid waste characteristics and management in Chittagong, Bangladesh  

SciTech Connect

Solid waste management (SWM) is a multidimensional challenge faced by urban authorities, especially in developing countries like Bangladesh. We investigated per capita waste generation by residents, its composition, and the households' attitudes towards waste management at Rahman Nagar Residential Area, Chittagong, Bangladesh. The study involved a structured questionnaire and encompassed 75 households from five different socioeconomic groups (SEGs): low (LSEG), lower middle (LMSEG), middle (MSEG), upper middle (UMSEG) and high (HSEG). Wastes, collected from all of the groups of households, were segregated and weighed. Waste generation was 1.3 kg/household/day and 0.25 kg/person/day. Household solid waste (HSW) was comprised of nine categories of wastes with vegetable/food waste being the largest component (62%). Vegetable/food waste generation increased from the HSEG (47%) to the LSEG (88%). By weight, 66% of the waste was compostable in nature. The generation of HSW was positively correlated with family size (r{sub xy} = 0.236, p < 0.05), education level (r{sub xy} = 0.244, p < 0.05) and monthly income (r{sub xy} = 0.671, p < 0.01) of the households. Municipal authorities are usually the responsible agencies for solid waste collection and disposal, but the magnitude of the problem is well beyond the ability of any municipal government to tackle. Hence dwellers were found to take the service from the local waste management initiative. Of the respondents, an impressive 44% were willing to pay US$0.3 to US$0.4 per month to waste collectors and it is recommended that service charge be based on the volume of waste generated by households. Almost a quarter (22.7%) of the respondents preferred 12-1 pm as the time period for their waste to be collected. This study adequately shows that household solid waste can be converted from burden to resource through segregation at the source, since people are aware of their role in this direction provided a mechanism to assist them in this pursuit exists and the burden is distributed according to the amount of waste generated.

Sujauddin, Mohammad [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh)], E-mail: mohammad.sujauddin@gmail.com; Huda, S.M.S. [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Hoque, A.T.M. Rafiqul [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Laboratory of Ecology and Systematics (Plant Ecophysiology Section), Faculty of Science, Biology Division, University of the Ryukyus, Okinawa 903-0213 (Japan)

2008-07-01T23:59:59.000Z

95

char_household2001.pdf  

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

5a. Household Characteristics by Type of Owner-Occupied Housing Unit, 5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.3 0.4 2.0 2.9 1.3 Total Owner-Occupied Units ....... 72.7 63.2 2.1 1.8 5.7 6.7 Household Size 1 Person ....................................... 15.8 12.5 0.8 0.9 1.6 10.3 2 Persons ...................................... 25.9 23.4 0.5 0.5 1.5 10.1 3 Persons ...................................... 11.6 9.6 0.5 Q 1.3 12.1 4 Persons ...................................... 11.8 10.9 Q Q 0.7 15.7 5 Persons ...................................... 5.1 4.5 Q Q 0.4 24.2 6 or More Persons

96

char_household2001.pdf  

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

1a. Household Characteristics by South Census Region, 1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.5 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Household Size 1 Person ...................................................... 28.2 9.9 5.0 1.8 3.1 6.3 2 Persons .................................................... 35.1 13.0 6.7 2.5 3.8 4.2 3 Persons .................................................... 17.0 6.6 3.7 1.2 1.7 8.8 4 Persons .................................................... 15.6 6.0 3.3 0.8 1.9 10.7 5 Persons ....................................................

97

char_household2001.pdf  

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

8a. Household Characteristics by Urban/Rural Location, 8a. Household Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Household Size 1 Person ...................................................... 28.2 14.6 5.3 4.8 3.6 6.4 2 Persons .................................................... 35.1 15.7 5.7 6.9 6.8 5.4 3 Persons .................................................... 17.0 7.6 2.8 3.5 3.1 7.2 4 Persons .................................................... 15.6 6.8 2.3 4.1 2.4 8.1 5 Persons .................................................... 7.1 3.1 1.3 1.3 1.4 12.3 6 or More Persons

98

char_household2001.pdf  

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

a. Household Characteristics by Climate Zone, a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Household Size 1 Person ....................................... 28.2 2.5 8.1 6.5 4.8 6.2 9.9 2 Persons ...................................... 35.1 3.1 9.4 8.2 6.5 7.9 8.7 3 Persons ...................................... 17.0 1.3 4.3 4.0 3.3 4.1 10.7 4 Persons ...................................... 15.6 1.4 3.9 3.4 3.4 3.5 10.5 5 Persons ......................................

99

char_household2001.pdf  

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

6a. Household Characteristics by Type of Rented Housing Unit, 6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total Rented Units ........................ 34.3 10.5 7.4 15.2 1.1 6.9 Household Size 1 Person ....................................... 12.3 2.5 2.6 7.0 0.3 10.0 2 Persons ...................................... 9.2 2.5 2.5 4.1 Q 11.8 3 Persons ...................................... 5.4 2.0 1.1 2.0 0.4 13.9 4 Persons ...................................... 3.8 1.6 0.7 1.4 Q 17.7 5 Persons ...................................... 2.0 0.9 0.4 0.6 Q 24.1 6 or More Persons ........................

100

homeoffice_household2001.pdf  

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

3a. Home Office Equipment by Household Income, 3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.4 1.9 1.2 1.0 0.6 1.9 0.9 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 47.6 3.0 Households Using Office Equipment .......................... 96.2 13.2 19.8 25.5 37.7 10.7 38.8 3.2 Personal Computers 2 ................... 60.0 3.7 8.7 16.0 31.6 3.7 17.4 4.6 Number of Desktop PCs 1 .................................................. 45.1 2.8 7.1 12.8 22.4 2.8 13.6 5.1 2 or more .................................... 9.1 0.6 0.7 1.7 6.2 0.6 2.2 13.0 Number of Laptop PCs

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

char_household2001.pdf  

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

2a. Household Characteristics by Year of Construction, 2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.0 1.2 1.2 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Household Size 1 Person ....................................... 28.2 2.5 4.5 5.1 4.0 3.7 8.3 7.5 2 Persons ...................................... 35.1 4.8 6.2 6.6 4.5 5.3 7.8 5.8 3 Persons ...................................... 17.0 2.5 3.3 2.9 2.3 1.9 4.1 8.4 4 Persons ...................................... 15.6 3.4 2.8 2.3 1.9 1.8 3.4 9.6 5 Persons ...................................... 7.1 1.6 1.2 1.3 0.6 0.7 1.6 14.3 6 or More Persons

102

EERE Environmental Questionnaire | Department of Energy  

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

EERE Environmental Questionnaire EERE Environmental Questionnaire Environmental Questionnaire from the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy....

103

Household Vehicles Energy Consumption 1991  

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

Protection Agency (EPA) certification files (CERT files) containing laboratory test results of MPG. When the vehicle characteristic was missing from the questionnaire, but...

104

9 - Chinese healthcare system reforms and household saving patterns: some stylised facts  

Science Journals Connector (OSTI)

Abstract: This chapter aims to evaluate the relationship between one of the recent healthcare reforms in the Peoples Republic of China and household decisions both in terms of out-of-pocket expenditure and saving. Evidence on the results achieved by reforms of the health insurance sector in terms of reducing out-of-pocket medical expenditure is still uncertain and contradictory, and very little is known about the effect of these measures on the consumption and saving behaviour of the Chinese population. To shed light on this issue we use data collected by Chinese Household Income Project surveys (CHIPs), through a series of questionnaire-based interviews conducted in urban areas in 1995 and 2002. Our descriptive analysis suggests that there is a positive relationship between public health insurance coverage and household saving. This empirical evidence suggests that public insurance coverage is ineffective as a source of protection against income losses and might induce households to save more.

Vincenzo Atella; Agar Brugiavini; Hao Chen; Noemi Pace

2014-01-01T23:59:59.000Z

105

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

Annual Energy Outlook 2012 (EIA)

... 6.1 0.8 2.7 2.6 Q Q Q Q Q Q Q 23.2 Race of Householder White ... 54.8 14.4 27.6 12.8 83.7 3.2 6.7 7.2...

106

Physical activity of adults in households with and without children  

E-Print Network (OSTI)

whites, fewer Hispanics, and higher household incomes thanWhites, fewer Hispanics, and higher household incomes thanWhites, fewer Hispanics, and higher household incomes than

Candelaria, Jeanette Irene

2010-01-01T23:59:59.000Z

107

Magnesium Ion-dependent Activation of the RecA Protein Involves the C Terminus*  

E-Print Network (OSTI)

Magnesium Ion-dependent Activation of the RecA Protein Involves the C Terminus* Received with ATP. We provide evi- dence that the free magnesium ion is required to medi- ate a conformational at low magnesium ion concentrations. The RecA protein of Escherichia coli plays a central role

Cox, Michael M.

108

spaceheat_household2001.pdf  

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

3a. Space Heating by Household Income, 3a. Space Heating by Household Income, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Heat Home ..................................... 106.0 18.4 22.7 26.8 38.1 14.6 33.4 3.3 Do Not Heat Home ........................ 1.0 0.3 Q 0.3 0.3 0.3 0.4 23.4 No Heating Equipment .................. 0.5 Q Q Q 0.2 Q Q 35.0 Have Equipment But Do Not Use It ................................ 0.4 Q Q Q Q 0.2 0.3 22.8 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 18.4 22.7

109

appl_household2001.pdf  

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

3a. Appliances by Household Income, 3a. Appliances by Household Income, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.8 1.6 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 18.0 22.0 26.1 35.6 14.4 32.6 3.2 1 ................................................ 95.2 17.3 21.1 24.8 32.0 13.8 31.1 3.4 2 or More .................................. 6.5 0.8 0.9 1.3 3.6 0.6 1.5 13.1 Most Used Oven ........................ 101.7 18.0 22.0 26.1 35.6 14.4 32.6 3.2

110

Household Vehicles Energy Consumption 1991  

Gasoline and Diesel Fuel Update (EIA)

or More...... 23.1 15.2 197 12.3 10.7 13.0 1.3 12.8 13.0| 6.7 | Race of Householder | White... 135.3 89.5 1,429 89.2 73.9 89.2 9.1 87.5 89.1| 2.0...

111

The World Distribution of Household Wealth  

E-Print Network (OSTI)

Japan is not a remote prospect. In summary, it is clear that householdJapan Korea, South New Zealand Norway Spain Sweden Switzerland United Kingdom United States Year Unit share of top 2002 household

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

2007-01-01T23:59:59.000Z

112

REC Silicon formerly ASiMI | Open Energy Information  

Open Energy Info (EERE)

Silicon formerly ASiMI Silicon formerly ASiMI Jump to: navigation, search Name REC Silicon (formerly ASiMI) Place Butte, Montana Zip 59750 Product Manufactures and sells polycrystalline silicon. Coordinates 47.838435°, -100.665669° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47.838435,"lon":-100.665669,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

113

Trip rate comparison of workplace and household surveys  

E-Print Network (OSTI)

Available vs. Trip Rate) 14 El Paso Household Survey (Household Income vs. Trip Rate) . 15 El Paso Workplace Survey (Household Income vs. Trip Rate) . 52 52 53 53 54 54 16 BPA Household Survey (Household Size vs. Trip Rate) . . 17 BPA Workplace... Survey (Household Size vs. Trip Rate) . . 56 56 18 BPA Household Survey (No. of Employees vs. Trip Rate) . . 19 BPA Workplace Survey (No. of Employees vs. Trip Rate) . . 20 BPA Household Survey (Vehicles Available vs. Trip Rate) . . 21 BPA Workplace...

Endres, Stephen Michael

2012-06-07T23:59:59.000Z

114

homeoffice_household2001.pdf  

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

9a. Home Office Equipment by Northeast Census Region, 9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.1 1.4 1.2 Total .............................................................. 107.0 20.3 14.8 5.4 NE Households Using Office Equipment ......................................... 96.2 17.9 12.8 5.0 1.3 Personal Computers 1 ................................. 60.0 10.9 7.7 3.3 3.1 Number of Desktop PCs 1 ................................................................ 45.1 8.7 6.2 2.5 3.7 2 or more ................................................... 9.1 1.4 0.9 0.5 12.9 Number of Laptop PCs 1 ................................................................

115

Household Vehicles Energy Consumption 1991  

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

1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

116

Household Vehicles Energy Consumption 1991  

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

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

117

homeoffice_household2001.pdf  

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

0a. Home Office Equipment by Midwest Census Region, 0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ......................................... 96.2 22.4 15.7 6.7 1.3 Personal Computers 1 ................................. 60.0 14.1 9.9 4.2 3.7 Number of Desktop PCs 1 ................................................................ 45.1 10.4 7.2 3.2 3.7 2 or more ................................................... 9.1 2.3 1.6 0.7 10.1 Number of Laptop PCs 1 ................................................................

118

A systematic review of reliability and objective criterion-related validity of physical activity questionnaires  

E-Print Network (OSTI)

Yore (2007)[48] BRFSS PAQ (2001 version) United States Leisure, household, occupation, transportation 60 44.5 15.7 M/F Mixed MPA and VPA min/week Elderly Yasunaga (2007)[49] PAQ-EJ Japan Household, occupation, transportation, sports/exercise 147 65... the United States, 10 from Europe, six from Australia, two from Canada, and one study from Japan and Sub-Saharan Africa, respectively. Of note was a 12country international study testing the International Physical Activity Questionnaire (IPAQ)also a commonly...

Helmerhorst, Hendrik JF; Brage, Sren; Warren, Janet; Besson, Herve; Ekelund, Ulf

2012-08-31T23:59:59.000Z

119

ac_household2001.pdf  

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

0a. Air Conditioning by Midwest Census Region, 0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 20.2 13.4 6.7 2.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 14.3 9.5 4.8 3.8 Without a Heat Pump ................................ 46.2 13.6 9.0 4.6 3.9 With a Heat Pump .....................................

120

ac_household2001.pdf  

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

8a. Air Conditioning by Urban/Rural Location, 8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 36.8 13.6 18.9 13.6 4.3 Air Conditioners Not Used ........................... 2.1 1.2 0.2 0.4 0.3 21.4 Households Using Electric Air-Conditioning 2 ........................................ 80.8 35.6 13.4 18.6 13.3 4.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 ............................ 57.5 23.6 8.6 15.8 9.4 5.1 Without a Heat Pump ................................ 46.2 19.3 7.4 13.1 6.4 6.3 With a Heat Pump ..................................... 11.3 4.4

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

ac_household2001.pdf  

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

5a. Air Conditioning by Type of Owner-Occupied Housing Unit, 5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using Electric Air-Conditioning 1 .......................... 58.2 57.6 6.3 11.8 5.1 5.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 44.7 43.6 3.2 7.1 3.5 7.0 Without a Heat Pump .................. 35.6 35.0 2.4 6.1 2.7 7.7 With a Heat Pump .......................

122

ac_household2001.pdf  

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

6a. Air Conditioning by Type of Rented Housing Unit, 6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning 1 .......................... 22.5 57.6 6.3 11.8 5.1 6.2 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 12.7 43.6 3.2 7.1 3.5 8.5 Without a Heat Pump .................. 10.6 35.0 2.4 6.1 2.7 9.3 With a Heat Pump ....................... 2.2 8.6 0.8 1.0

123

char_household2001.pdf  

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

2001 2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Household Size 1 Person ...................................................... 28.2 2.2 2.4 1.8 1.7 7.3 2 Persons .................................................... 35.1 2.2 4.0 2.4 2.0 6.9 3 Persons .................................................... 17.0 1.1 2.0 1.2 1.2 9.5 4 Persons .................................................... 15.6 0.8 1.9 1.3 0.9 11.2 5 Persons .................................................... 7.1 0.4 1.1 0.4 0.5 19.8 6 or More Persons ....................................... 4.0 0.4 0.9 0.4 0.1 16.4 2001 Household Income Category

124

ac_household2001.pdf  

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

1a. Air Conditioning by South Census Region, 1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 36.9 19.0 6.4 11.5 1.6 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 30.4 16.1 5.0 9.2 2.8 Without a Heat Pump ................................ 46.2 22.1 10.4 3.4 8.3 5.6 With a Heat Pump

125

ac_household2001.pdf  

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

9a. Air Conditioning by Northeast Census Region, 9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.8 Households With Electric Air-Conditioning Equipment ...................... 82.9 14.5 11.3 3.2 3.3 Air Conditioners Not Used ........................... 2.1 0.3 0.3 Q 28.3 Households Using Electric Air-Conditioning 1 ........................................ 80.8 14.2 11.1 3.2 3.4 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 5.7 4.9 0.8 8.9 Without a Heat Pump ................................ 46.2 5.2 4.5 0.7 9.2 With a Heat Pump .....................................

126

ac_household2001.pdf  

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

2a. Air Conditioning by Year of Construction, 2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.1 1.2 1.1 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 13.6 16.0 14.7 10.4 10.5 17.6 4.7 Air Conditioners Not Used ............ 2.1 Q 0.3 0.5 0.3 0.4 0.5 27.2 Households Using Electric Air-Conditioning 2 .......................... 80.8 13.4 15.8 14.2 10.1 10.2 17.1 4.7 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 .............. 57.5 12.6 13.7 11.0 7.1 6.6 6.4 5.9 Without a Heat Pump .................. 46.2 10.1 10.4 8.0 6.1 5.9 5.7 7.0 With a Heat Pump ....................... 11.3 2.5 3.3

127

ac_household2001.pdf  

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

4a. Air Conditioning by Type of Housing Unit, 4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1 .......................... 80.8 57.6 6.3 11.8 5.1 4.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 57.5 43.6 3.2 7.1 3.5 6.7 Without a Heat Pump .................. 46.2 35.0 2.4 6.1 2.7 7.7 With a Heat Pump ....................... 11.3 8.6 0.8 1.0 0.8 19.7 Room Air-Conditioning

128

REC Group Renewable Energy Corporation | Open Energy Information  

Open Energy Info (EERE)

Group Renewable Energy Corporation Group Renewable Energy Corporation Jump to: navigation, search Name REC Group (Renewable Energy Corporation) Place Høvik, Norway Zip N-1323 Sector Solar Product Norwegian chemicals company; covers the whole solar value chain with its main focus the manufacturing of solar grade polysilicon feedstock and wafers. Coordinates 59.900429°, 10.57538° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":59.900429,"lon":10.57538,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

129

Quick Guide: Renewable Energy Certificates (RECs) (Fact Sheet), Federal Energy Management Program (FEMP)  

NLE Websites -- All DOE Office Websites (Extended Search)

energy for different facilities through energy for different facilities through multiple suppliers. Because this allows for aggregate REC purchases for multiple sites, check with your agency before proceeding to determine whether REC purchases are already being made at the agency level. Federal Renewable Energy Requirements Satisfied by RECs Multiple laws and executive orders define requirements for the use of renewable energy in Federal facilities. RECs can only be used to satisfy goals associated with renewable energy consumption or the environmental benefits of renewable energy consumption. This includes meeting GHG emissions reduction goals. Energy Policy Act (EPAct) of 2005: EPAct 2005 requires Federal agencies to consume increasing amounts of renewable energy; specifically: * 3 percent in fiscal

130

Quick Guide: Renewable Energy Certificates (RECs) (Fact Sheet), Federal Energy Management Program (FEMP)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

energy for different facilities through energy for different facilities through multiple suppliers. Because this allows for aggregate REC purchases for multiple sites, check with your agency before proceeding to determine whether REC purchases are already being made at the agency level. Federal Renewable Energy Requirements Satisfied by RECs Multiple laws and executive orders define requirements for the use of renewable energy in Federal facilities. RECs can only be used to satisfy goals associated with renewable energy consumption or the environmental benefits of renewable energy consumption. This includes meeting GHG emissions reduction goals. Energy Policy Act (EPAct) of 2005: EPAct 2005 requires Federal agencies to consume increasing amounts of renewable energy; specifically: * 3 percent in fiscal

131

Steamboat Springs Health and Rec. Pool & Spa Low Temperature Geothermal  

Open Energy Info (EERE)

Health and Rec. Pool & Spa Low Temperature Geothermal Health and Rec. Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Steamboat Springs Health and Rec. Pool & Spa Low Temperature Geothermal Facility Facility Steamboat Springs Health and Rec. Sector Geothermal energy Type Pool and Spa Location Steamboat Springs, Colorado Coordinates 40.4849769°, -106.8317158° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

132

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

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years December 20, 2013 Gas furnace efficiency has large implications for residential natural gas use December 5, 2013 EIA publishes state fact sheets on residential energy consumption and characteristics August 19, 2013 All 48 related articles › ResidentialAvailable formats PDF Modeling Distributed Generation in the Buildings Sectors Released: August 29, 2013 This report focuses on how EIA models residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook. State Fact Sheets on Household Energy Use

133

homeoffice_household2001.pdf  

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

2a. Home Office Equipment by Year of Construction, 2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.4 1.1 1.1 1.2 1.2 1.0 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Households Using Office Equipment .......................... 96.2 14.9 16.7 17.0 12.2 13.0 22.4 4.4 Personal Computers 2 ................... 60.0 11.0 11.6 10.3 7.2 7.8 12.0 5.3 Number of Desktop PCs 1 .................................................. 45.1 8.0 9.0 7.7 5.3 6.1 9.1 5.8 2 or more .................................... 9.1 1.8 1.6 2.0 1.1 1.0 1.6 11.8 Number of Laptop PCs 1 ..................................................

134

ac_household2001.pdf  

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

2001 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditioning Equipment ...................... 82.9 4.9 6.0 7.4 6.2 2.4 Air Conditioners Not Used ........................... 2.1 0.1 0.8 Q 0.1 23.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 4.7 5.2 7.4 6.1 2.6 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 1.3 3.9 6.2 5.7 6.7 Without a Heat Pump ................................ 46.2 1.2 3.2 5.5 3.8 8.1 With a Heat Pump ..................................... 11.3 Q 0.8 0.6 1.9 14.7 Room Air-Conditioning ................................ 23.3 3.4 1.2 1.2 0.3 13.6 1 Unit

135

homeoffice_household2001.pdf  

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

1a. Home Office Equipment by South Census Region, 1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ......................................... 96.2 34.6 18.4 6.0 10.1 1.2 Personal Computers 1 ................................. 60.0 20.7 11.7 3.2 5.8 4.0 Number of Desktop PCs 1 ................................................................ 45.1 15.5 8.6 2.6 4.3 4.9 2 or more ................................................... 9.1 3.1 2.0 0.4 0.7 9.6 Number of Laptop PCs

136

Electricity Prices for Households - EIA  

Gasoline and Diesel Fuel Update (EIA)

Households for Selected Countries1 Households for Selected Countries1 (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 Austria 0.144 0.154 0.152 0.163 0.158 0.158 0.178 0.201 NA Barbados NA NA NA NA NA NA NA NA NA Belgium NA NA NA NA NA NA NA NA NA Bolivia NA NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA NA 0.145 0.171 NA Canada 0.067 0.069 0.070 0.071 0.076 0.078 NA NA NA Chile NA NA NA NA NA NA 0.140 0.195 NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 0.075 0.071 0.074 0.076 0.079 0.079 0.080 0.086 NA Colombia NA NA NA NA NA NA 0.111 0.135 NA

137

homeoffice_household2001.pdf  

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

a. Home Office Equipment by Climate Zone, a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.2 1.1 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.9 Households Using Office Equipment .......................... 96.2 8.4 26.2 21.1 19.0 21.5 7.8 Personal Computers 2 ................... 60.0 5.7 16.7 13.1 12.1 12.6 7.4 Number of Desktop PCs 1 .................................................. 45.1 4.2 12.8 9.6 8.8 9.6 7.8 2 or more .................................... 9.1 0.8 2.4 2.3 2.0 1.7 12.1 Number of Laptop PCs 1 ..................................................

138

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

139

appl_household2001.pdf  

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

9a. Appliances by Northeast Census Region, 9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.3 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 19.6 14.5 5.2 1.1 1 .............................................................. 95.2 18.2 13.3 4.9 1.1 2 or More ................................................. 6.5 1.4 1.1 0.3 11.7 Most Used Oven ...................................... 101.7 19.6 14.5 5.2 1.1 Electric .....................................................

140

spaceheat_household2001.pdf  

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

1a. Space Heating by South Census Region, 1a. Space Heating by South Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.3 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Heat Home .................................................... 106.0 38.8 20.2 6.8 11.8 NE Do Not Heat Home ....................................... 1.0 Q Q Q Q 20.1 No Heating Equipment ................................ 0.5 Q Q Q Q 39.8 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q Q 39.0 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

spaceheat_household2001.pdf  

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

9a. Space Heating by Northeast Census Region, 9a. Space Heating by Northeast Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 20.3 14.8 5.4 NE Heat Home .................................................... 106.0 20.1 14.7 5.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.9 No Heating Equipment ................................ 0.5 Q Q Q 39.5 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q 38.7 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 20.1 14.7 5.4 NE Natural Gas .................................................

142

spaceheat_household2001.pdf  

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

0a. Space Heating by Midwest Census Region, 0a. Space Heating by Midwest Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Heat Home .................................................... 106.0 24.5 17.1 7.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.8 No Heating Equipment ................................ 0.5 Q Q Q 39.2 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q 38.4 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 24.5 17.1 7.4 NE Natural Gas

143

spaceheat_household2001.pdf  

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

2a. Space Heating by West Census Region, 2a. Space Heating by West Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.6 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Heat Home .................................................... 106.0 22.6 6.7 15.9 NE Do Not Heat Home ....................................... 1.0 0.7 Q 0.7 10.6 No Heating Equipment ................................ 0.5 0.4 Q 0.4 18.1 Have Equipment But Do Not Use It ............................................... 0.4 0.2 Q 0.2 27.5 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 22.6 6.7 15.9 NE Natural Gas .................................................

144

appl_household2001.pdf  

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

2a. Appliances by West Census Region, 2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 22.1 6.6 15.5 1.1 1 .............................................................. 95.2 20.9 6.4 14.5 1.1 2 or More ................................................. 6.5 1.2 0.2 1.0 14.6 Most Used Oven ...................................... 101.7 22.1 6.6 15.5 1.1 Electric .....................................................

145

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

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

146

Renewable Energy Certificates and Air Emissions Benefits: Developing an Appropriate Definition for a REC  

NLE Websites -- All DOE Office Websites (Extended Search)

ENVIRONMENTAL RESOURCES TRUST ENVIRONMENTAL RESOURCES TRUST Pioneering Markets to Improve the Environment Renewable Energy Certificates and Air Emissions Benefits Developing an Appropriate Definition for a REC Patrick Leahy and Alden Hathaway April 2004 The Renewable Energy Certificate Market The past few years have witnessed the emergence of the Renewable Energy Certificate (REC) market as a viable model for the U.S. renewable energy industry. Once considered an esoteric topic for even the most ardent renewable energy expert, RECs have grown in popularity and exposure thanks to efforts of the renewable energy industry as well as several large purchases by high profile corporations and governmental organizations. Although still in its infancy, the Renewable Energy

147

File:REC Generator Certification Application - Texas.pdf | Open Energy  

Open Energy Info (EERE)

REC Generator Certification Application - Texas.pdf REC Generator Certification Application - Texas.pdf Jump to: navigation, search File File history File usage Metadata File:REC Generator Certification Application - Texas.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 3 4 5 6 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 55 KB, MIME type: application/pdf, 6 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 14:59, 26 June 2013 Thumbnail for version as of 14:59, 26 June 2013 1,275 × 1,650, 6 pages (55 KB) Apalazzo (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information)

148

GRR/Section 7-TX-b - REC Generator | Open Energy Information  

Open Energy Info (EERE)

TX-b - REC Generator TX-b - REC Generator < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 7-TX-b - REC Generator 07TXBRECGeneratorCertification.pdf Click to View Fullscreen Contact Agencies Public Utility Commission of Texas Regulations & Policies Goal for Renewable Energy, PUCT Substantive Rule 25.173 Triggers None specified Click "Edit With Form" above to add content 07TXBRECGeneratorCertification.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative This flowchart illustrates the application and approval process for participating in the Renewable Energy Credit program in Texas.

149

STATEMENT OF CONSIDERATIONS REQUEST BY RELIANCE ELECTRIC COMPANY (REC) FOR AN  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

RELIANCE ELECTRIC COMPANY (REC) FOR AN RELIANCE ELECTRIC COMPANY (REC) FOR AN ADVANCE WAIVER OF DOMESTIC AND FOREIGN PATENT RIGHTS UNDER DOE CONTRACT DE-FC02-93CH10580: W(A)-93-028; CH-0786 Reliance Electric Company (REC) has requested a waiver of domestic and foreign patent rights for all subject inventions of its employees, including those of its wholly owned or controlled subsidiaries and affiliates, under a Cooperative Agreement for the development of a 100 horsepower synchronous motor utilizing superconducting coils under DOE Contract No. DE-FC02-93CH10580. This agreement was awarded under DOE's Superconductivity Partnership Initiative. Technical data first produced under this program will be afforded limited protection pursuant to Title XXX, Section 3001(d), of the Energy Policy Act of 1992.

150

Identification and characterization of the Escherichia coli RecT protein, a protein encoded by the recE region that promotes renaturation of homologous single-stranded DNA.  

Science Journals Connector (OSTI)

...recE region encodes such an activity. Expression of the recE region substitutes for the two differ- ent recombination genes, redac and redo, encoded by bacte- riophage X (11, 13, 14). Because exoVIII is biochemically similar to the X reda gene product...

S D Hall; M F Kane; R D Kolodner

1993-01-01T23:59:59.000Z

151

appl_household2001.pdf  

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

a. Appliances by Climate Zone, a. Appliances by Climate Zone, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.1 Total .................................................. 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Kitchen Appliances Cooking Appliances Oven .............................................. 101.7 9.1 27.9 23.1 19.4 22.2 7.8 1 ................................................... 95.2 8.7 26.0 21.6 17.7 21.2 7.9 2 or More ..................................... 6.5 0.4 1.9 1.5 1.7 1.0 14.7 Most Used Oven ........................... 101.7 9.1 27.9 23.1 19.4 22.2

152

appl_household2001.pdf  

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

4a. Appliances by Type of Housing Unit, 4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1 ................................................ 95.2 63.7 8.9 16.2 6.3 4.3 2 or More .................................. 6.5 5.4 0.4 0.4 0.2 15.9 Most Used Oven ........................ 101.7 69.1 9.4 16.7 6.6 4.3 Electric ...................................... 63.0 43.3 5.2 10.9 3.6

153

spaceheat_household2001.pdf  

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

8a. Space Heating by Urban/Rural Location, 8a. Space Heating by Urban/Rural Location, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.6 0.9 1.3 1.3 1.2 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.3 Heat Home .................................................... 106.0 49.1 18.0 21.2 17.8 4.3 Do Not Heat Home ....................................... 1.0 0.7 0.1 0.1 0.1 25.8 No Heating Equipment ................................ 0.5 0.4 0.1 Q 0.1 33.2 Have Equipment But Do Not Use It ............................................... 0.4 0.3 Q Q Q 30.2 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 49.1 18.0 21.2 17.8 4.3 Natural Gas

154

spaceheat_household2001.pdf  

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

5a. Space Heating by Type of Owner-Occupied Housing Unit, 5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.4 1.9 3.0 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Heat Home ..................................... 72.4 63.0 2.0 1.7 5.7 6.7 Do Not Heat Home ........................ 0.4 0.2 Q Q Q 46.2 No Heating Equipment .................. 0.3 0.2 Q Q Q 39.0 Have Equipment But Do Not Use It ................................ Q Q Q Q Q NF Main Heating Fuel and Equipment (Have and Use Equipment) ............ 72.4 63.0 2.0 1.7 5.7 6.7 Natural Gas

155

spaceheat_household2001.pdf  

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

2a. Space Heating by Year of Construction, 2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.5 1.5 1.1 1.1 1.1 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.3 Heat Home ..................................... 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Do Not Heat Home ........................ 1.0 Q Q Q 0.2 0.3 Q 23.2 No Heating Equipment .................. 0.5 Q Q Q 0.2 Q Q 30.3 Have Equipment But Do Not Use It ................................ 0.4 Q Q Q Q Q Q 37.8 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Natural Gas ...................................

156

More efficient household electricity use  

SciTech Connect

The energy efficiency of electric appliances has increased markedly in OECD countries, according to data provided by utilities, appliance associations, appliance manufacturers, and independent analyses of each country we reviewed (US, Sweden, Norway, Holland, Japan, Germany, UK). These improvements have, in part, offset increases in electricity demand due to increasing saturation of appliances. However, we see evidence that the efficiency of new devices has hit a temporary plateau: Appliances sold in 1988, while far more efficient than similar ones sold in the early 1970s, may not be significantly more efficient than those sold in 1987. The reason for this plateau, according to manufacturers we interviewed, is that the simple energy-saving features have been incorporated; more sophisticated efficiency improvements are economically justified by five to ten year paybacks, but unattractive to consumers in most countries who appear to demand paybacks of less than three years. Manufacturers see features other than efficiency --- such as number of storage compartments and automatic ice-makers --- as more likely to boost sales, market share, or profits. If this efficiency plateau'' proves lasting, then electricity use for appliance could begin to grow again as larger and more fancy models appear in households. 38 refs., 10 figs., 1 tab.

Schipper, L.; Hawk, D.V.

1989-12-01T23:59:59.000Z

157

appl_household2001.pdf  

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

5a. Appliances by Type of Owner-Occupied Housing Unit, 5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ........................................... 68.3 59.1 2.0 1.7 5.4 7.0 1 ................................................ 62.9 54.1 2.0 1.6 5.2 7.1 2 or More .................................. 5.4 5.0 Q Q 0.2 22.1 Most Used Oven ........................ 68.3 59.1 2.0 1.7 5.4 7.0 Electric ......................................

158

spaceheat_household2001.pdf  

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

4a. Space Heating by Type of Housing Unit, 4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No Heating Equipment .................. 0.5 0.2 Q 0.3 Q 24.2 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 28.1 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 73.4 9.4 16.4 6.8 4.5 Natural Gas ...................................

159

appl_household2001.pdf  

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

2a. Appliances by Year of Construction, 2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.5 1.2 1.1 1.2 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 1 ................................................ 95.2 13.1 16.3 16.6 12.1 12.7 24.3 4.4 2 or More .................................. 6.5 1.2 0.9 1.1 0.7 1.0 1.6 14.8 Most Used Oven ........................ 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 Electric ......................................

160

spaceheat_household2001.pdf  

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

6a. Space Heating by Type of Rented Housing Unit, 6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home ........................ 0.6 Q Q 0.5 Q 21.4 No Heating Equipment .................. 0.2 Q Q Q Q 84.5 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 36.4 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 33.7 10.4 7.4 14.8 1.1 6.9 Natural Gas ...................................

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

C:MydocsMYDOCSHATTIERECS97recsForms97Mail.PDF  

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

and Budget, Washington, D.C. 20503. U. S. DEPARTMENT OF ENERGY 1997 Residential Energy Consumption Survey Nationwide Survey on Household Energy Use Please complete this...

162

Oak Ridge Associated Universities Procurement Questionnaire Applicatio...  

Office of Environmental Management (EM)

Oak Ridge Associated Universities Procurement Questionnaire Application System Supplier Profile PIA, Oak ridge Operations Office Oak Ridge Associated Universities Procurement...

163

Microsoft Word - Household Energy Use CA  

Gasoline and Diesel Fuel Update (EIA)

0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average.  Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

164

Microsoft Word - Household Energy Use CA  

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

0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average.  Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

165

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network (OSTI)

EnergyEfficiencyPotentialStudy. TechnicalReportEnergyEfficiency PotentialStudy. TechnicalReportEnergyEfficiency RenewableEnergyTechnologies Transportation AssessmentofHouseholdCarbonFootprintReductionPotentialsisthefinalreport

Masanet, Eric

2010-01-01T23:59:59.000Z

166

Household gasoline demand in the United States  

E-Print Network (OSTI)

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, ...

Schmalensee, Richard

1995-01-01T23:59:59.000Z

167

Nevada: Kingston Creek Hydro Project Powers 100 Households  

Energy.gov (U.S. Department of Energy (DOE))

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

168

Oak Ridge Associated Universities Procurement Questionnaire Application  

NLE Websites -- All DOE Office Websites (Extended Search)

Associated Universities Procurement Questionnaire Associated Universities Procurement Questionnaire Application System Supplier Profile PIA, Oak ridge Operations Office Oak Ridge Associated Universities Procurement Questionnaire Application System Supplier Profile PIA, Oak ridge Operations Office Oak Ridge Associated Universities Procurement Questionnaire Application System Supplier Profile PIA, Oak ridge Operations Office Oak Ridge Associated Universities Procurement Questionnaire Application System Supplier Profile PIA, Oak ridge Operations Office More Documents & Publications Occupational Medical Surveillance System (OMSS) PIA, Idaho National Laboratory Occupational Medicine - Assistant PIA, Idaho National Laboratory ORO Verification of Employment Tracking System(VETS) PIA, Oak ridge Operations Office

169

Campus Rec | 210 ASRC -1800 SW Sixth Avenue | Portland, OR 97201 www.pdx.edu/recreation  

E-Print Network (OSTI)

Campus Rec | 210 ASRC - 1800 SW Sixth Avenue | Portland, OR 97201 www.pdx.edu/recreation Outdoor recreation. This is accomplished by offering adventure trips, non-credit instruction, team-building programs resource to the PSU community regarding outdoor recreation. DESCRIPTION The Climbing Center Student

Veerman, J. J. P.

170

Campus Rec | 210 ASRC -1800 SW Sixth Avenue | Portland, OR 97201 www.pdx.edu/recreation  

E-Print Network (OSTI)

Campus Rec | 210 ASRC - 1800 SW Sixth Avenue | Portland, OR 97201 www.pdx.edu/recreation Outdoor and environmentally conscious outdoor recreation. This is accomplished by offering adventure trips, non as the informational resource to the PSU community regarding outdoor recreation. This position is open to all currently

Daescu, Dacian N.

171

Campus Rec | 210 ASRC -1800 SW Sixth Avenue | Portland, OR 97201 www.pdx.edu/recreation  

E-Print Network (OSTI)

Campus Rec | 210 ASRC - 1800 SW Sixth Avenue | Portland, OR 97201 www.pdx.edu/recreation Lifeguard Avenue | Portland, OR 97201 www.pdx.edu/recreation Type of work ­ position requires mostly sitting experience. Application can be found here: http://www.pdx.edu/recreation/employment-opportunities-0 o See

Bertini, Robert L.

172

StatREC: a graphical user interface tool for visual hypothesis testing of cost prediction models  

Science Journals Connector (OSTI)

Background: During the previous decades there has been noted a significantly increased research interest on the construction of prediction models for accurate estimation of software cost. Despite the development of sophisticated methodologies, ... Keywords: REC curves, graphical comparison, graphical user interface, permutation test, prediction models, software cost estimation

Nikolaos Mittas; Ioannis Mamalikidis; Lefteris Angelis

2012-09-01T23:59:59.000Z

173

Title: Structure and Function of Bacterial RecN Protein Principal Investigator: Shelley Lusetti  

E-Print Network (OSTI)

identified a RecN homolog from Deinococcus radiodurans that is soluble in E. coli and are well positioned in both E. coli and D. radiodurans genetic systems. This work will provide valuable models Lusetti Sponsor: U. S. Department of Health and Human Services National Institutes of Health (NIH) Summary

Johnson, Eric E.

174

Physics II Exam 2 -Chs. 18A,19,20 -Electric Current, Magnetic Field Feb. 23, 2009 Name Rec. Instr. Rec. Time  

E-Print Network (OSTI)

Physics II Exam 2 - Chs. 18A,19,20 - Electric Current, Magnetic Field Feb. 23, 2009 Name Rec. Instr·m/A, elementary charge e = 1.602?10-19 C, electron mass me = 9.11?10-31 kg, 1 electron-volt = 1.0 eV = 1. (aluminum resistivity is = 2.65?10-8 ·m). a) (4) What resistance should a 1.00 meter length of the wire

Wysin, Gary

175

Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle  

NLE Websites -- All DOE Office Websites (Extended Search)

1: January 8, 1: January 8, 2007 Household Vehicle Trips to someone by E-mail Share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Facebook Tweet about Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Twitter Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Google Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Delicious Rank Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Digg Find More places to share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on AddThis.com... Fact #451: January 8, 2007 Household Vehicle Trips In a day, the average household traveled 32.7 miles in 2001 (the latest

176

Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle  

NLE Websites -- All DOE Office Websites (Extended Search)

2: October 3, 2: October 3, 2005 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on AddThis.com... Fact #392: October 3, 2005 Household Vehicle Ownership Household vehicle ownership has changed significantly over the last 40

177

Household Vehicles Energy Consumption 1994 - Appendix C  

Annual Energy Outlook 2012 (EIA)

Protection Agency (EPA) certification files (CERT files) containing laboratory test results of MPG. When the vehicle characteristic was missing from the questionnaire, but...

178

2003 CBECS Pre-Test Questionnaire  

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

HOW TO USE THIS QUESTIONNAIRE The 2012 Commercial Buildings Energy Consumption Survey (CBECS) will be conducted using a computer- assisted interview programmed using a software called Blaise. A professional interviewer will administer the questionnaire to the building respondent using a laptop computer. The purpose of this paper representation of the questionnaire is to document the question text, fills, and skip patterns within the 2012 CBECS questionnaire. PLEASE NOTE: All the question fills and skip patterns were handled automatically by the software and will be transparent to the interviewer, so this document appears much more complex that the actual CBECS instrument. Each question is formatted as follows: A1 Question name SASVAR ASK

179

ATTACHMENT L-__ PAST PERFORMANCE INFORMATION QUESTIONNAIRE  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

PAST PERFORMANCE INFORMATION QUESTIONNAIRE PAST PERFORMANCE INFORMATION QUESTIONNAIRE COVER LETTER (JUL 2010) Date Dear:_______________ The Department of Energy is seeking your assistance on a very important procurement. __[insert name of offeror]___________________________is participating in a proposal for a DOE contract. _[insert name of offeror]____________has identified you as someone who is familiar with their past performance on similar work. We are asking you to complete the attached Past Performance Information Questionnaire to help DOE evaluate __[insert name of offeror]_________________'s past performance. We greatly appreciate your time and assistance in completing this questionnaire. In accordance with Part 15.506 of the Federal Acquisition Regulation, the names of

180

Unclassified Foreign National Visits & Assignments Questionnaire |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Services » Calibration Facilities » Unclassified Foreign National Services » Calibration Facilities » Unclassified Foreign National Visits & Assignments Questionnaire Unclassified Foreign National Visits & Assignments Questionnaire Visitors who are foreign nationals must complete and submit the Unclassified Foreign National Visits & Assignments Questionnaire 30 days before accessing facilities. Unclassified Foreign National Visits.doc Description Unclassified Foreign National Visits & Assignments Questionnaire More Documents & Publications NEUP Foreign Travel Request Form FAQS Qualification Card - Safeguards and Security General Technical Base FAQS Qualification Card - Safeguards and Security Calibration Facilities Ecosystem Management Team Environmental Justice Environmental Management System Long-Term Surveillance - Operations and Maintenance

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

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

Annual Energy Outlook 2012 (EIA)

5.17. U.S. Number of Households by Vehicle Fuel Expenditures, 1994 (Continued) (Million Households) 1993 Household and 1994 Vehicle Characteristics RSE Column Factor: All...

182

Using census aggregates to proxy for household characteristics: an application to vehicle ownership  

E-Print Network (OSTI)

Instead, Asian and Hispanic households were undersampled byhousehold Age of the householder/Average age of residents Hispanichousehold Age of the householder/Average age of residents Hispanic

Adjemian, Michael; Williams, Jeffrey

2009-01-01T23:59:59.000Z

183

The Role of The fedeRal PRojecT diRecToR  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Role of The fedeRal PRojecT diRecToR: Role of The fedeRal PRojecT diRecToR: lessons fRom The naTional igniTion faciliTy The national ignition facility (nif) is home of the world's largest laser. With 192 laser beams that can deliver more than 60 times the energy of any previous laser system, NIF represents a significant step in enabling the study of high-energy density science, and should demonstrate fusion ignition and burn in the laboratory for the first time. The design and construction of this unique, highly complex facility posed management challenges that the project team overseeing its development could not foresee. The national ignition facility's final optics assemblies, shown here mounted on the lower hemisphere of the target chamber, contain

184

MHK Projects/Ocean Navitas NaREC | Open Energy Information  

Open Energy Info (EERE)

Navitas NaREC Navitas NaREC < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.1294,"lon":-1.50652,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

185

MHK Projects/University of Manchester Phase 1 and 2 NaREC | Open Energy  

Open Energy Info (EERE)

University of Manchester Phase 1 and 2 NaREC University of Manchester Phase 1 and 2 NaREC < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.1294,"lon":-1.50652,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

186

2003 CBECS Pre-Test Questionnaire  

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

A A U.S. Department of Energy Commercial Buildings Energy Consumption Survey for 2007 BUILDING QUESTIONNAIRE Form Approval OMB No.: 1905-0145 Expires: 9/30/2010 TABLE OF CONTENTS How to Use this Questionnaire ............................................................................................. 1 Section A. Building Size, Structural Characteristics and Age Square Footage .................................................................................................... 5 Structural Characteristics ....................................................................................... 7 Number of Floors ................................................................................................ 10

187

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

E-Print Network (OSTI)

Residential Energy Consumption Survey (RECS), U.S. Energyod for estimating field energy consumption of US residentialconsumption surveydetailed tables. Residential Energy Con- sumption Survey (RECS), U.S.

Greenblatt, Jeffery

2013-01-01T23:59:59.000Z

188

Survey of Household Energy Use (SHEU)  

E-Print Network (OSTI)

Survey of Household Energy Use (SHEU) 2003 Detailed Statistical Report #12;To obtain additional copies of this or other free publications on energy efficiency, please contact: Energy Publications Office of Energy Efficiency Natural Resources Canada c/o St. Joseph Communications Order Processing Unit

189

Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle  

NLE Websites -- All DOE Office Websites (Extended Search)

3: January 22, 3: January 22, 2007 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on AddThis.com... Fact #453: January 22, 2007 Household Vehicle Ownership

190

Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle  

NLE Websites -- All DOE Office Websites (Extended Search)

5: February 5, 5: February 5, 2007 Household Vehicle Miles to someone by E-mail Share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Facebook Tweet about Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Twitter Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Google Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Delicious Rank Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Digg Find More places to share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on AddThis.com... Fact #455: February 5, 2007 Household Vehicle Miles The graphs below show the average vehicle miles of travel (VMT) - daily

191

Opportunities to reduce greenhouse gas emissions from households in Nigeria  

Science Journals Connector (OSTI)

Efforts to mitigate climate threats should not exclude the household as the household is a major driver of greenhouse gas (GHG) emissions through its consumption...2) emissions from kerosene combustion for lighting

O. Adeoti; S. O. Osho

2012-02-01T23:59:59.000Z

192

Household Wealth in a Cross-Country Perspective  

Science Journals Connector (OSTI)

This paper provides a comparative analysis of household wealth in the United States, the United Kingdom, Japan, France, Germany, Spain, and Italy. ... wealth, looking at the instruments in which households invest...

Laura Bartiloro; Massimo Coletta

2012-01-01T23:59:59.000Z

193

ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

ANALYSIS OF CEE HOUSEHOLD SURVEY ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR ® FOR 2012 TABLE OF CONTENTS Acknowledgements .................................................................................. ii Executive Summary ............................................................................ ES-1 Introduction ............................................................................................... 1 Methodology Overview ............................................................................. 2 Key Findings ............................................................................................. 5 Recognition .................................................................................................................. 5 Understanding ........................................................................................................... 12

194

X-ray Crystal Structure of the Bacterial Conjugation Factor PsiB, a Negative Regulator of RecA  

SciTech Connect

During bacterial conjugation, genetic material from one cell is transferred to another as single-stranded DNA. The introduction of single-stranded DNA into the recipient cell would ordinarily trigger a potentially deleterious transcriptional response called SOS, which is initiated by RecA protein filaments formed on the DNA. During F plasmid conjugation, however, the SOS response is suppressed by PsiB, an F-plasmid-encoded protein that binds and sequesters free RecA to prevent filament formation. Among the many characterized RecA modulator proteins, PsiB is unique in using sequestration as an inhibitory mechanism. We describe the crystal structure of PsiB from the Escherichia coli F plasmid. The stucture of PsiB is surprisingly similar to CapZ, a eukaryotic actin filament capping protein. Structure-directed neutralization of electronegative surfaces on PsiB abrogates RecA inhibition whereas neutralization of an electropositive surface element enhances PsiB inhibition of RecA. Together, these studies provide a first molecular view of PsiB and highlight its use as a reagent in studies of RecA activity.

Petrova, Vessela; Satyshur, Kenneth A.; George, Nicholas P.; McCaslin, Darrell; Cox, Michael M.; Keck, James L. (UW)

2012-03-16T23:59:59.000Z

195

The role of meiotic cohesin REC8 in chromosome segregation in {gamma} irradiation-induced endopolyploid tumour cells  

SciTech Connect

Escape from mitotic catastrophe and generation of endopolyploid tumour cells (ETCs) represents a potential survival strategy of tumour cells in response to genotoxic treatments. ETCs that resume the mitotic cell cycle have reduced ploidy and are often resistant to these treatments. In search for a mechanism for genome reduction, we previously observed that ETCs express meiotic proteins among which REC8 (a meiotic cohesin component) is of particular interest, since it favours reductional cell division in meiosis. In the present investigation, we induced endopolyploidy in p53-dysfunctional human tumour cell lines (Namalwa, WI-L2-NS, HeLa) by gamma irradiation, and analysed the sub-cellular localisation of REC8 in the resulting ETCs. We observed by RT-PCR and Western blot that REC8 is constitutively expressed in these tumour cells, along with SGOL1 and SGOL2, and that REC8 becomes modified after irradiation. REC8 localised to paired sister centromeres in ETCs, the former co-segregating to opposite poles. Furthermore, REC8 localised to the centrosome of interphase ETCs and to the astral poles in anaphase cells where it colocalised with the microtubule-associated protein NuMA. Altogether, our observations indicate that radiation-induced ETCs express features of meiotic cell divisions and that these may facilitate chromosome segregation and genome reduction.

Erenpreisa, Jekaterina [Latvian Biomedicine Research and Study Centre, Riga, LV-1067 (Latvia)] [Latvian Biomedicine Research and Study Centre, Riga, LV-1067 (Latvia); Cragg, Mark S. [Tenovus Laboratory, Cancer Sciences Division, Southampton University School of Medicine, General Hospital, Southampton SO16 6YD (United Kingdom)] [Tenovus Laboratory, Cancer Sciences Division, Southampton University School of Medicine, General Hospital, Southampton SO16 6YD (United Kingdom); Salmina, Kristine [Latvian Biomedicine Research and Study Centre, Riga, LV-1067 (Latvia)] [Latvian Biomedicine Research and Study Centre, Riga, LV-1067 (Latvia); Hausmann, Michael [Kirchhoff Inst. fuer Physik, Univ. of Heidelberg, D-69120 Heidelberg (Germany)] [Kirchhoff Inst. fuer Physik, Univ. of Heidelberg, D-69120 Heidelberg (Germany); Scherthan, Harry, E-mail: scherth@web.de [Inst. fuer Radiobiologie der Bundeswehr in Verbindung mit der Univ. Ulm, D-80937 Munich (Germany) [Inst. fuer Radiobiologie der Bundeswehr in Verbindung mit der Univ. Ulm, D-80937 Munich (Germany); MPI for Molec. Genetics, 14195 Berlin (Germany)

2009-09-10T23:59:59.000Z

196

Untitled  

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

Detailed Tables Detailed Tables These detailed tables are of three types. The tables displaying the number of households by hours of lighting use and household characteristics (Tables 4.1 through 4.8) were compiled from data collected on the RECS Household Questionnaire. The data in Tables 4.9 through 4.17 are based on information collected from the RECS Household Questionnaire and estimates derived from models developed with the Lighting Supplement data. Tables 4.18 through 4.23 contain data collected directly from the Lighting Supplement. Figure 4.1 provides a summary of the three types of detailed tables. Figure 4.1 Summary of Detailed Tables Table Numbers Source of Table Source of Cell Estimates Number of Households Estimates of Standard Error 4.1- 4.8 1993 RECS Household Survey Weighted Survey Data 7,111 Presented in row and column factors

197

Home Prices and Household Callan Windsor, Jarkko Jskel and  

E-Print Network (OSTI)

Research Discussion Paper Home Prices and Household Spending Callan Windsor, Jarkko Jääskelä. ISSN 1320-7729 (Print) ISSN 1448-5109 (Online) #12;Home Prices and Household Spending Callan Windsor Abstract This paper explores the positive relationship between home prices and household spending

198

Handling Frame Problems When Address-Based Sampling Is Used for In-Person Household Surveys  

Science Journals Connector (OSTI)

......use as the sampling frame for household surveys. This subset includes...However, around 90 percent of households with PO box addresses also have...recent growth, new construction, Hispanic households, non-English-speaking households......

Graham Kalton; Jennifer Kali; Richard Sigman

2014-09-01T23:59:59.000Z

199

E-Print Network 3.0 - assessing household solid Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

of Groundwater Contamination from Household Wastewater... 12;Glossary Household Wastewater Treatment These terms may help you make more accurate assessments......

200

Voluntary electricity conservation of households after the Great East Japan Earthquake: A stated preference analysis  

Science Journals Connector (OSTI)

Abstract This paper examines the voluntary electricity-saving awareness of households after the Great East Japan Earthquake and the subsequent accident at the Fukushima nuclear power station. We conduct a conjoint analysis of consumer stated preferences for the settings of air conditioners, refrigerators, and the standby power of electrical appliances, based on a web questionnaire survey administered in the areas supplied by the Tokyo Electric Power Company (TEPCO) and Kansai Electric Power Company (KEPCO). The main findings of this paper are as follows. First, we observe awareness of voluntary electricity conservation among the households in both the TEPCO and KEPCO areas after the disasters. Second, awareness of voluntary power saving is higher in the TEPCO area, which has been directly affected by the electric power shortages, in comparison with the KEPCO area, where there was no such direct impact. Third, if power prices are to be further raised, the consumer responses to the price changes would be small in both areas. Furthermore, we show that the potential voluntary reduction in electric power consumption of a household in the TEPCO area is 26% more than that in the KEPCO area during the summer peak periods.

Makoto Tanaka; Takanori Ida

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Project Manager, TBD Job Description Questionnaire (JDQ)  

E-Print Network (OSTI)

Project Manager, TBD Job Description Questionnaire (JDQ) Professional Staff Instructions What with a disability in regard to job application procedures, the hiring or discharge of employees, employee Below to Certify Approval or Disapproval: Approval Disapproval ( ) ( ) TBD, Project Manager

Barrash, Warren

202

Towards sustainable consumption: do green households have smaller ecological footprints?  

Science Journals Connector (OSTI)

The need for households in rich countries to develop more sustainable consumption patterns is high on the political agenda. An increased awareness of environmental issues among the general public is often presented as an important prerequisite for this change. This article describes how the study team compared the ecological footprints of ''green'' and ''ordinary'' households. These footprint calculations are based on a number of consumption categories that have severe environmental consequences, such as energy and material use in the home, and transport. The comparison is based on a survey of 404 households in the city of Stavanger, where 66 respondents were members of the Environmental Home Guard in Norway. The analysis suggests that, even if the green households have a smaller ecological footprint per household member, this is not caused by their participation in the Home Guard. It merely reflects the fact that green households are larger than ordinary households.

Erling Holden

2004-01-01T23:59:59.000Z

203

Household transitions to energy efficient lighting  

Science Journals Connector (OSTI)

Abstract New energy efficient lighting technologies can significantly reduce household electricity consumption, but adoption has been slow. A unique dataset of German households is used in this paper to examine the factors associated with the replacement of old incandescent lamps (ILs) with new energy efficient compact fluorescent lamps (CFLs) and light emitting diodes (LEDs). The rebound effect of increased lamp luminosity in the transition to energy efficient bulbs is analyzed jointly with the replacement decision to account for household self-selection in bulb-type choice. Results indicate that the EU ban on \\{ILs\\} accelerated the pace of transition to \\{CFLs\\} and LEDs, while storage of bulbs significantly dampened the speed of the transition. Higher lighting needs and bulb attributes like energy efficiency, environmental friendliness, and durability spur IL replacement with \\{CFLs\\} or LEDs. Electricity gains from new energy efficient lighting are mitigated by 23% and 47% increases in luminosity for CFL and LED replacements, respectively. Model results suggest that taking the replacement bulb from storage and higher levels of education dampen the magnitude of these luminosity rebounds in IL to CFL transitions.

Bradford Mills; Joachim Schleich

2014-01-01T23:59:59.000Z

204

Creating Directed Double-strand Breaks with the Ref Protein: A Novel Rec A-Dependent Nuclease from Bacteriophage P1  

SciTech Connect

The bacteriophage P1-encoded Ref protein enhances RecA-dependent recombination in vivo by an unknown mechanism. We demonstrate that Ref is a new type of enzyme; that is, a RecA-dependent nuclease. Ref binds to ss- and dsDNA but does not cleave any DNA substrate until RecA protein and ATP are added to form RecA nucleoprotein filaments. Ref cleaves only where RecA protein is bound. RecA functions as a co-nuclease in the Ref/RecA system. Ref nuclease activity can be limited to the targeted strands of short RecA-containing D-loops. The result is a uniquely programmable endonuclease activity, producing targeted double-strand breaks at any chosen DNA sequence in an oligonucleotide-directed fashion. We present evidence indicating that cleavage occurs in the RecA filament groove. The structure of the Ref protein has been determined to 1.4 {angstrom} resolution. The core structure, consisting of residues 77-186, consists of a central 2-stranded {beta}-hairpin that is sandwiched between several {alpha}-helical and extended loop elements. The N-terminal 76 amino acid residues are disordered; this flexible region is required for optimal activity. The overall structure of Ref, including several putative active site histidine residues, defines a new subclass of HNH-family nucleases. We propose that enhancement of recombination by Ref reflects the introduction of directed, recombinogenic double-strand breaks.

Gruenig, Marielle C.; Lu, Duo; Won, Sang Joon; Dulberger, Charles L.; Manlick, Angela J.; Keck, James L.; Cox, Michael M. (UW)

2012-03-16T23:59:59.000Z

205

WAPA REC RFP - Deadline: August 9, 2013 - 4:30 p.m. PT | OpenEI Community  

Open Energy Info (EERE)

WAPA REC RFP - Deadline: August 9, 2013 - 4:30 p.m. PT WAPA REC RFP - Deadline: August 9, 2013 - 4:30 p.m. PT Home > Groups > Renewable Energy RFPs Graham7781's picture Submitted by Graham7781(1992) Super contributor 5 August, 2013 - 14:26 Western Area Power Administration desires to purchase Renewable Energy Certificates (RECs) on behalf of Federal Agencies (If a message box asking for user name and password appears, click cancel until the document opens). Proposals submitted in response to this RFP must be received via MAIL or FAX to Western on or before August 9, 2013, at 4:30 p.m. PDT to be considered for evaluation. E-mail proposals will not be considered. Western reserves the right to not consider any proposals received after the prescribed dates and time. See Frequently Asked Questions (If a message

206

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

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

Zimring, Mark

2012-01-01T23:59:59.000Z

207

Barriers to household investment in residential energy conservation: preliminary assessment  

SciTech Connect

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)

Hoffman, W.L.

1982-12-01T23:59:59.000Z

208

Economic theory and women's household status: The case of Japan  

Science Journals Connector (OSTI)

Economic development disadvantages wives. Conventional microeconomic theory predicts this. As household incomes rise, wives have incentives to specialize in intangible household production. This may raise total household production according to the theory of comparative advantage, but disproportionately favors husbands in distribution of the gains according to the marginal productivity theory of distribution. Wives may become better off in absolute terms but more dependent financially on their husbands and lose power within the household. Historically, Japanese gender roles became highly specialized and wives legal status declined, although other Meiji-era features protected wives. Policies to improve women's status should address the precise economic problem involved.

Barbara J. Redman

2008-01-01T23:59:59.000Z

209

Confronting earthquake risk in Japanare private households underinsured?  

Science Journals Connector (OSTI)

Despite the fact that Japan is an earthquake-prone country and Japanese ... risk averse, less than half of Japanese households are insured against earthquake risk. Based on...

Franz Waldenberger

2013-03-01T23:59:59.000Z

210

Salmon consumption at the household level in Japan.  

E-Print Network (OSTI)

??The primary purpose of this study is to investigate the salmon demand of Japanese households. The specific goals are to illuminate the substitutional relationship between (more)

Kikuchi, Akihiro

1987-01-01T23:59:59.000Z

211

Consumer perspectives on household hazardous waste management in Japan  

Science Journals Connector (OSTI)

We give an overview of the management systems of household hazardous waste (HHW) in Japan and discuss the management systems and their...

Misuzu Asari; Shin-ichi Sakai

2011-02-01T23:59:59.000Z

212

MINNESOTA STATE GRANT QUESTIONNAIRE RETURN FORM  

E-Print Network (OSTI)

MINNESOTA STATE GRANT QUESTIONNAIRE RETURN FORM: BY MAIL TO: Office of Student Finance 20 Fraser are not eligible for the Minnesota State Grant. Will you be receiving Wisconsin, South Dakota, North Dakota, sign, and return this form to One Stop. You are not eligible for the Minnesota State Grant. If you

Amin, S. Massoud

213

TICS modelling : Conception of questionnaire Sylvie Damy  

E-Print Network (OSTI)

TICS modelling : Conception of questionnaire Sylvie Damy Associate professor in Computer Science Techniques ­ 16 Route de Gray- F-25030 Besançon cedex Introduction Within the framework of the action "TICS. The modelling of the "Territorial Intelligence Community Systems", or TICS is useful to transcribe

Paris-Sud XI, Université de

214

ENERGY EXCEPTION REQUEST Energy Exception Request Questionnaire  

E-Print Network (OSTI)

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

Rock, Chris

215

INDOOR AIR QUALITY QUESTIONNAIRE HUMAN RESOURCES  

E-Print Network (OSTI)

INDOOR AIR QUALITY QUESTIONNAIRE HUMAN RESOURCES FORM Risk and Compliance | One Washington Square THE AIR QUALITY ISSUE AND LOCATION Name: Date: Department: Phone No: Work Location: Suspected Air Quality, humidity, drafts, stagnant air, odors)? Is there a history of flooding or water damage? If so, please list

Eirinaki, Magdalini

216

Evidence for the Coupling of ATP Hydrolysis to the Final (Extension) Phase of RecA Protein-mediated DNA Strand Exchange*  

E-Print Network (OSTI)

Evidence for the Coupling of ATP Hydrolysis to the Final (Extension) Phase of RecA Protein-Madison, Madison, Wisconsin 53706 RecA protein promotes a limited DNA strand ex- change reaction, without ATP. This nascent hybrid DNA is extended in a reaction that can be coupled to ATP hydrolysis. When ATP is hydrolyzed

Cox, Michael M.

217

Isolation of human and mouse genes based on homology to REC2, a recombinational repair gene from the fungus?Ustilago?maydis  

Science Journals Connector (OSTI)

...refine the localization of the Rec2 gene. The scoring data was submitted to the Stanford Radiation Hybrid server ( rhserver@shgc.stanford.edu ). Radiation Hybrid server analysis showed linkage of hREC2 to the D14S258 marker with a logarithm of odds...

Michael C. Rice; Sheryl T. Smith; Florencia Bullrich; Pamela Havre; Eric B. Kmiec

1997-01-01T23:59:59.000Z

218

RECS Fuel Oil Usage Form_v1 (Draft).xps  

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

fuel oil usage for this delivery address between fuel oil usage for this delivery address between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total Dollar Amount including taxes [Exclude late fees, merchandise, repairs, and service charges] 11 12 13 14 15 16 17 18 19 20 Form EIA 457G OMB No. 1905-0092 Expires 1/31/13 2009 RECS Fuel Oil and Kerosene Usage Form Delivery Address: Account Number: $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / Enter the Amount Delivered in Gallons XXXX Type of Fuel Sold was: 1=Fuel Oil #1 2=Fuel Oil #2 3=Kerosene 4=Other Enter the Price per Gallon $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ XXX.XX $ X.XX (select one) 1 2 3 4 MM/DD/YY Page 1 of 2 U.S. Energy Information Administration Independent Statistics & Analysis

219

Inhibition of RNA polymerase II transcription by oligonucleotide-RecA protein filaments targeted to promoter sequences  

Science Journals Connector (OSTI)

...discriminatory tool in mapping such sites. We thank Ning Ye for the purification of RecA protein and Dr. K. Krady and Dr. Z. Pitluck for the generous gift of plasmids pYT104-1 and pBM415. This research was supported by grants from the National Institutes...

E I Golub; C M Radding; D C Ward

1993-01-01T23:59:59.000Z

220

Intra-Household Inequality in Transitional Russia Ekaterina Kalugina  

E-Print Network (OSTI)

1 Intra-Household Inequality in Transitional Russia Ekaterina Kalugina Natalia Radtchenko Catherine and satisfaction. Using two different subjective questions of the Russian data RLMS (Russia Longitudinal Monitoring and social changes in Russia, we investigate the dynamics of household behavior. Keywords: subjective data

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Controlling Households' Drilling Fever in France: an economic modeling approach  

E-Print Network (OSTI)

to generate environmental benefits through reducing water use, has produced economic incentives for households; France; households; domestic boreholes; tube well; water pricing. Author-produced version Fourth World negative environmental impact of water price increase in the drinking water sector. Using primary data

Boyer, Edmond

222

Microsoft Word - TQP-QuestionnaireForm.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

TQP POSITION EVALUATION QUESTIONNAIRE TQP POSITION EVALUATION QUESTIONNAIRE POSITION TITLE UNDER EVALUATION: CURRENT POSITION INCUMBENT: LOCATION: EVALUATION BY (Immediate Supervisor or FTCP Agent if FEM): Question: Is the position assigned line management, technical support, operation, or oversight responsibilities that provide assistance, guidance, direction, oversight, or evaluation of contractor activities that could directly impact the safe operation of a defense nuclear facility? Results: (More than one box may be checked.) Yes, the position is in the Technical Qualification Program (TQP). In addition to the above, the position is also a Senior Technical Safety Manager (STSM) Per DOE M 426.1-1A, "an STSM is a person, usually at the GS/GM-15 or SES level, who is assigned direct line responsibility for activities

223

Unclassified Foreign National Visits & Assignments Questionnaire  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Unclassified Foreign National Visits & Assignments Questionnaire Unclassified Foreign National Visits & Assignments Questionnaire |Welcome to U.S. Department of Energy Office of Legacy Management! We are looking forward to your visit or assignment with us. In order to comply with our security requirements and ensure that your time with the Department of Energy goes smoothly we need to obtain some information from you prior to your arrival. Please take a few minutes to provide the information requested below for each member of your party that is not a U.S. citizen and then return the form(s) to your host. Please be sure to comply with the deadlines your host has communicated to you for returning this form.| |Part 1: Completed by Visitor Please complete all questions below, as applicable. | |1.|Given (first) name (exactly as it appears on passport)| |

224

Non-Employee Static Magnetic Field Questionnaire  

NLE Websites -- All DOE Office Websites (Extended Search)

Occupational Medicine Clinic (OMC) Occupational Medicine Clinic (OMC) Medical Questionnaire for non-BSA Workers/Students who may enter STATIC MAGNETIC FIELDS NAME:_________________ Extension__________ BNL Badge #:_____________ BNL Supervisor_____________ INSTRUCTIONS TO BSA SUPERVISOR or PRECEPTOR: Please print this form and give it to the (non-BSA employee) worker or student for completion. This individual should not give you the completed form, but should instead mail or fax it to OMC. INSTRUCTIONS TO WORKER or STUDENT: The purpose of this questionnaire is to provide the OMC physician at BNL with information about any medical devices or conditions you may have that might affect your ability to safely enter a strong magnetic field, in order to determine whether you can be medically cleared to enter such a field.

225

Microsoft Word - TQP-QuestionnaireResources.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Resource Management Questionnaire Resource Management Questionnaire Field Element Name: Field Element Location: Office (NA, SC, NE, etc.): 1 of 3 To FTCP Agent: DOE O 360.1B, Federal Employee Training, requires each Field Element Manager (Senior Operations/Field Office Official) to ensure efficient and effective management of training programs for their elements' workforce. DOE M 426.1-1A, Federal Technical Capability Manual, requires the Field Element Manager to implement formal training and qualification programs for employees who provide management direction or oversight of contractor technical activities that could impact the safe operation of a defense nuclear facility (referred to as the Technical Qualification Program or TQP). Invariably each DOE Field Element utilizes some amount of resources to accomplish these

226

APS Beamline Questionnaire Form | Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

APS Beamline Motor Drive Questionnaire Form APS Beamline Motor Drive Questionnaire Form * indicates required field Please send a separate email to Thomas Barkalow with an attached beamline drawing or sketch showing where the groups are located and the distances they are apart. First Name*: Middle Initial/Name: Last Name*: Beamline Designation*: What is the total number of driver units with makes and models?: How are driver units grouped together and each group's location within the beamline?: What number of driver units are in use simultaneously for each group?: What is the maximum amperage setting actually used for each unit?: What is the number of groups in use simultaneously and which groups are they?: Verification: We need to make sure you are a human. Please solve the challenge below, and click the I'm a Human button to get a confirmation code. To make this

227

Assimilation and differences between the settlement patterns of individual immigrants and immigrant households  

Science Journals Connector (OSTI)

...delineate directions for future household-scale investigations of...Categorization: Individuals or Households? The concentration on the...individual bodies. Of course, household structure and geographic context...children compared with non-Hispanic white children hinge on such...

Mark Ellis; Richard Wright

2005-01-01T23:59:59.000Z

228

Efficient Use of Commercial Lists in U.S. Household Sampling  

Science Journals Connector (OSTI)

......educational attainment, Hispanic ethnicity, household income, and home tenure...on the two persons in the household as well as the Hispanic ethnicity status of the head of household (assuming that the Hispanic ethnicity status of persons......

Richard Valliant; Frost Hubbard; Sunghee Lee; Chiungwen Chang

2014-06-01T23:59:59.000Z

229

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

E-Print Network (OSTI)

=2 Senior h =3 Table 17: Japan household income distributionto 2005 Japan Census (millions of households)). CHAPTER 5.same shifts of household dynamics as Japan (i.e. lower birth

Liu, Jenny Hsing-I

2010-01-01T23:59:59.000Z

230

Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions  

Science Journals Connector (OSTI)

...ineffective in reducing household energy consumption. Mass media...10 years. The changes in household behavior outlined above result...European Union countries and Japan, where the household sector is less energy intensive. Analyses similar...

Thomas Dietz; Gerald T. Gardner; Jonathan Gilligan; Paul C. Stern; Michael P. Vandenbergh

2009-01-01T23:59:59.000Z

231

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

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

0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"...

232

E-Print Network 3.0 - acute household accidental Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Evaluating the health benefits of transitions in household energy Summary: ; Household energy; Indoor air pollution; Intervention assessment; Kenya 1. Introduction Acute...

233

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

E-Print Network (OSTI)

of household refrigerators and freezers 2 . Therefore, thesales of the refrigerators and freezers are about 20.6for household refrigerators and freezers has been updated

Lin, Jiang

2006-01-01T23:59:59.000Z

234

Projecting household energy consumption within a conditional demand framework  

SciTech Connect

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

Teotia, A.; Poyer, D.

1991-12-31T23:59:59.000Z

235

Projecting household energy consumption within a conditional demand framework  

SciTech Connect

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

Teotia, A.; Poyer, D.

1991-01-01T23:59:59.000Z

236

Untitled  

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

Introduction Introduction The 1993 Residential Energy Consumption Survey (RECS) was the first to permit the estimation of annual kilowatthours (kWh) used for lighting. The survey contained more detailed questions about the number of indoor lights used for specific amounts of time and more detailed questions about the use of outdoor lights than did previous surveys. In addition to these basic questions on the Household Questionnaire, the 1993 RECS also included a supplementary questionnaire, administered to a subset of households, that contained more detailed information about the types of lights used in the household, the rooms in which they were located, and the amount of time they were used. The Residential Energy Consumption Survey The 1993 RECS is the ninth survey in a series of nationwide household

237

NaREC Offshore and Drivetrain Test Facility Collaboration: Cooperative Research and Development Final Report, CRADA Number CRD-04-140  

SciTech Connect

The National Renewable Energy Laboratory (NREL) and the National Renewable Energy Centre (NaREC) in the United Kingdom (UK) have a mutual interest in collaborating in the development of full-scale offshore wind energy and drivetrain testing facilities. NREL and NaREC will work together to share resources and experiences in the development of future wind energy test facilities. This Cooperative Research and Development Agreement (CRADA) includes sharing of test protocols, infrastructure cost data, test plans, pro forma contracting instruments, and safe operating strategies. Furthermore, NREL and NaREC will exchange staff for training and development purposes.

Musial, W.

2014-08-01T23:59:59.000Z

238

Appliance Standby Power and Energy Consumption in South African Households  

Open Energy Info (EERE)

Appliance Standby Power and Energy Consumption in South African Households Appliance Standby Power and Energy Consumption in South African Households Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Appliance Standby Power and Energy Consumption in South African Households Focus Area: Appliances & Equipment Topics: Policy Impacts Website: active.cput.ac.za/energy/web/DUE/DOCS/422/Paper%20-%20Shuma-Iwisi%20M. Equivalent URI: cleanenergysolutions.org/content/appliance-standby-power-and-energy-co Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance A modified engineering model is proposed to estimate standby power and energy losses in households. The modified model accounts for the randomness of standby power and energy losses due to unpredicted user appliance operational behavior.

239

Smoothing consumption across households and time : essays in development economics  

E-Print Network (OSTI)

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 ...

Kinnan, Cynthia Georgia

2010-01-01T23:59:59.000Z

240

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

Annual Energy Outlook 2012 (EIA)

in gallons, of this household's storage tank(s)? Enter the capacity for the two largest tanks (if there is more than one) in the boxes below. If the capacity is not known, write...

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Fact #614: March 15, 2010 Average Age of Household Vehicles  

Energy.gov (U.S. Department of Energy (DOE))

The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first...

242

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

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

or More","NA","NA",93.75,96.42857143,91.27516779,97.46835443 "Race of Householder1" " White",88.61111111,"NA",91.54929577,91.68704156,90.27093596,92.77845777 " Black...

243

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

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

but then declined until about 2004 when gasoline and motor oil expenditures began to rise again. The share of household expenditures on gasoline and oil was exactly the same...

244

Householder Symposium on Numerical Linear Algebra June 1721, 2002  

E-Print Network (OSTI)

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

Higham, Nicholas J.

245

The impact of retirement on household consumption in Japan  

Science Journals Connector (OSTI)

Using monthly data from the Japanese Family Income and Expenditure Survey, we examine the impact of retirement on household consumption. We find little evidence of an immediate change in consumption at retirement, on average, in Japan. However, we find a decrease in consumption at retirement for low income households that is concentrated in food and work-related consumption. The availability of substantial retirement bonuses to a large share of Japanese retirees may help smooth consumption at retirement. We find that those households that are more likely to receive such bonuses experience a short-run consumption increase at retirement. However, among households that are less likely to receive a retirement bonus, we find that consumption decreases at retirement.

Melvin Stephens Jr.; Takashi Unayama

2012-01-01T23:59:59.000Z

246

A Web-Based Interactive Questionnaire for PV Application  

Science Journals Connector (OSTI)

Questionnaire is a fundamental method for investigation and research, but participants get tired about it, because of the impression of being long and boring, which causes low quality of research. The authors developed an interactive questionnaire as ... Keywords: Building Integrated Photo-Voltaic BIPV, Interactive Questionnaire, Participatory Design, Photovoltaic PV System, Sunrise-PV

Zheng Dai; Kasper Paasch

2013-04-01T23:59:59.000Z

247

ProfileGrids as a new visual representation of large multiple sequence alignments: a case study of the RecA protein family  

E-Print Network (OSTI)

interactions or in protein folding [72-74]. While a ligandWith respect to a protein folding role, the RecA ProfileGridmotif may be to initiate protein folding or to stabilize the

Roca, Alberto I; Almada, Albert E; Abajian, Aaron C

2008-01-01T23:59:59.000Z

248

Ab initio study on the electronic and mechanical properties of ReB and ReC  

SciTech Connect

The structural, electronic, and mechanical properties of ReB and ReC have been studied by use of the density functional theory. For each compound, six structures are considered, i.e., hexagonal WC, NiAs, wurtzite, cubic NaCl, CsCl, and zinc-blende type structures. The results indicate that for ReB and ReC, WC type structure is energetically the most stable among the considered structures, followed by NiAs type structure. ReB-WC (i.e., ReB in WC type structure) and ReB-NiAs are both thermodynamically and mechanically stable. ReC-WC and ReC-NiAs are mechanically stable and becomes thermodynamically stable above 35 and 55 GPa, respectively. The estimated hardness from shear modulus is 34 GPa for ReB-WC, 28 GPa for ReB-NiAs, 35 GPa for ReC-WC and 37 GPa for ReC-NiAs, indicating that they are potential candidates to be ultra-incompressible and hard materials. - Graphical Abstract: The enthalpy-pressure diagram for ReC from the selected structures. ReC-WC and ReC-NiAs become thermodynamically stable above 35 and 55 GPa, respectively. ReC-WC is the most stable phase.

Zhao Erjun [State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022 (China); Graduate School, Chinese Academy of Sciences, Beijing 100049 (China); Wang Jinping [Department of Applied Chemistry, Qingdao Agricultural University, Qingdao 266109 (China); Meng Jian [State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022 (China); Wu Zhijian, E-mail: zjwu@ciac.jl.c [State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022 (China)

2009-04-15T23:59:59.000Z

249

Household energy consumption and its demand elasticity in Thailand  

Science Journals Connector (OSTI)

This study concentrates on the analysis of energy consumption, expenditure on oil and LPG use in cars and aims to examine the elasticity effect of various types of oil consumption. By using the Deaton's analysis framework, the cross-sectional data of Thai households economic survey 2009 were used. By defining energy goods in the scope of automobile fuel, the results reflect the low importance of high-quality automobile fuel on all income level households. Thai households tend to vary the quality rather than the quantity of thermal energy. All income groups have a tendency to switch to lower quality fuel. Middle and high-middle households (Q3 and Q4) are the income groups with the greatest tendency to switch to lower-quality fuel when a surge in the price of oil price occurs. The poorest households (Q1) are normally insensitive to a change of energy expenditure in terms of quality and quantity. This finding illustrates the LPG price subsidy policy favours middle and high-middle income households. The price elasticity of energy quantity demand is negative in all income levels. High to middle income families are the most sensitive to changes in the price of energy.

Montchai Pinitjitsamut

2012-01-01T23:59:59.000Z

250

Transferring 2001 National Household Travel Survey  

SciTech Connect

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

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

2007-05-01T23:59:59.000Z

251

The Groningen Radiotherapy-Induced Xerostomia questionnaire: Development and validation of a new questionnaire  

Science Journals Connector (OSTI)

Purpose The purpose of this study was to develop and validate a questionnaire (Groningen Radiotherapy-Induced Xerostomia (GRIX) questionnaire) that has the ability to distinguish between patient-rated xerostomia during day and night and can be used to evaluate the impact of emerging radiation delivery techniques aiming at prevention of xerostomia in more detail. Materials and methods All questions in the GRIX were generated from an exhaustive list of relevant questions according to xerostomia as reported in the literature and reported by patients and health care providers. Finally the GRIX was reduced from 56 questions to a 14-item questionnaire, with four subscales; xerostomia during day and night and sticky saliva during day and night. 315 patients filled out 2936 questionnaires and the GRIX was evaluated by calculating Crohnbachs ? for all subscales. Criterion validity was evaluated to compare the GRIX with patient-rated xerostomia scored with the EORTC QLQ-HN35 and physician-rated xerostomia, testretest analysis and responsiveness were also tested. Results Crohnbachs ? varied for all subscales between 0.88 and 0.94. The GRIX scored well for criterion-related validity on all subscales with high correlations with the EORTC QLQ-HN35 xerostomia and sticky saliva scale as well with physician-rated toxicity scoring. No significant differences were found between test and retest score and the GRIX showed good responsiveness with different time points for all subscales. Conclusion The GRIX is a validated questionnaire which can be used in future research focusing on patient-rated xerostomia and sticky saliva during day and night in relation with the impact of emerging radiation delivery techniques aiming at reduction of xerostomia.

Ivo Beetz; Fred R. Burlage; Henk P. Bijl; Olga Hoegen-Chouvalova; Miranda E.M.C. Christianen; Arjan Vissink; Bernard F.A.M. van der Laan; Geertruida H. de Bock; Johannes A. Langendijk

2010-01-01T23:59:59.000Z

252

C:MydocsMYDOCSHATTIERECS97recsForms97Rental.PDF  

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

C (1997) C (1997) Form Approval: OMB No.: 1905-0092 Rental Agents, Landlords, and Expires: March 31, 2000 Apartment Managers Questionnaire U.S. Department of Energy Energy Information Administration 1997 Residential Energy Consumption Survey Rental Agents, Landlords, and Apartment Managers Questionnaire INTRODUCTION TO INTERVIEW Hello, I am __________________________ from Response Analysis Corporation, a social science research firm. We are conducting a study for the U.S. Department of Energy about energy consumption in homes. Although your participation is voluntary, we hope you will participate in this important study of energy usage. Your identity and all the responses you give me will be kept strictly confidential. The survey will take about 15 minutes. Public reporting burden for this collection of information is estimated to average 15 minutes per response.

253

Delivering Energy Efficiency to Middle Income Single Family Households  

NLE Websites -- All DOE Office Websites (Extended Search)

Delivering Energy Efficiency to Middle Income Single Family Households Delivering Energy Efficiency to Middle Income Single Family Households Title Delivering Energy Efficiency to Middle Income Single Family Households Publication Type Report Year of Publication 2011 Authors Zimring, Mark, Merrian Borgeson, Ian M. Hoffman, Charles A. Goldman, Elizabeth Stuart, Annika Todd, and Megan A. Billingsley Pagination 102 Date Published 12/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract The question posed in this report is: How can programs motivate these middle income single family households to seek out more comprehensive energy upgrades, and empower them to do so? Research methods included interviews with more than 35 program administrators, policy makers, researchers, and other experts; case studies of programs, based on interviews with staff and a review of program materials and data; and analysis of relevant data sources and existing research on demographics, the financial status of Americans, and the characteristics of middle income American households. While there is no 'silver bullet' to help these households overcome the range of barriers they face, this report describes outreach strategies, innovative program designs, and financing tools that show promise in increasing the attractiveness and accessibility of energy efficiency for this group. These strategies and tools should be seen as models that are currently being honed to build our knowledge and capacity to deliver energy improvements to middle income households. However, the strategies described in this report are probably not sufficient, in the absence of robust policy frameworks, to deliver these improvements at scale. Instead, these strategies must be paired with enabling and complementary policies to reach their full potential.

254

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

E-Print Network (OSTI)

EV,then we expect 13.3 to 15.2% of all light-duty vehicle sales,EV marketpotential for smaller and shorter range velucles represented by our sampleis about 7%of annual, newhght duty vehicle sales.EV body styles" EVs ICEVs Total PAGE 66 THE HOUSEHOLD MA RKET FOR ELECTRIC VEHICLES percent mandatein the year 2003will dependon sales

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

255

NEPA Lessons Learned Quarterly Report Questionnaire | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

NEPA Lessons Learned Quarterly Report Questionnaire NEPA Lessons Learned Quarterly Report Questionnaire NEPA Lessons Learned Quarterly Report Questionnaire This questionnaire is used to collect information from the Department of Energy (DOE) National Environmental Policy Act (NEPA) Community. In accordance with DOE Order 451.1B, NEPA Compliance Program, NEPA Document Managers and NEPA Compliance Officers should fill out a questionnaire (separately or jointly) as soon as possible after completing each environmental impact statement (EIS) and environmental assessment (EA). Questionaires also may be returned earlier, at any time during the NEPA process, to share valuable lessons learned with others. Other document preparation team members also are encouraged to submit a questionnaire. Information provided through this questionaire helps the Office of NEPA

256

Energy Consumption of Refrigerators in Ghana - Outcomes of Household  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Consumption of Refrigerators in Ghana - Outcomes of Household Energy Consumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Robert Van Buskirk Galen Barbose As part of activities to develop refrigerator efficiency standards regulations in Ghana, a national survey on the energy consumption of refrigerators and refrigerator-freezers has been conducted. The survey covered 1000 households in urban, peri-urban and rural communities in various parts of the country. The survey found that, on average, refrigerators and refrigerator-freezers in Ghana use almost three times what is allowed by minimum efficiency standards in the U.S., and a few refrigerators had energy use at levels almost ten times the U.S.

257

Water Related Energy Use in Households and Cities - an Australian  

NLE Websites -- All DOE Office Websites (Extended Search)

Water Related Energy Use in Households and Cities - an Australian Water Related Energy Use in Households and Cities - an Australian Perspective Speaker(s): Steven Kenway Date: May 12, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Anita Estner James McMahon This presentation covers the content of recent journal papers and reports focused on the water-energy nexus and the related theory of urban metabolism. This includes (i) a review of the water-energy nexus focused on cities (ii) quantifying water-related energy in cities (iii) modeling household water-related energy use including key factors, sensitivity and uncertainty analysis, and (iv) relevance and implications of the urban metabolism theoretical framework. Steven's work focuses on understanding the indirect connections between urban water management, energy use and

258

EIA - Gasoline and Diesel Fuel report: Household Vehicles Energy  

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

1 1 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued after EIA's 1994 survey. Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. This report, Household Vehicles Energy Consumption 1991, is based on data from the 1991 Residential Transportation Energy Consumption Survey (RTECS). Focusing on vehicle miles traveled (VMT) and energy enduse consumption and expenditures by households for personal transportation, the 1991 RTECS is

259

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

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

Percent of Households with Vehicles, Selected Survey Years " Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08566108 "Household Characteristics" "Census Region and Division" " Northeast",77.22222222,"NA",79.16666667,82.9015544,75.38461538,85.09615385 " New England",88.37209302,"NA",81.81818182,82.9787234,82,88.52459016 " Middle Atlantic ",73.72262774,"NA",78.37837838,82.31292517,74.30555556,83.67346939 " Midwest ",85.51401869,"NA",90.66666667,90.17094017,92.30769231,91.47286822 " East North Central",82,"NA",88.81987578,89.88095238,91.51515152,90.55555556

260

Energy Information Administration/Household Vehicles Energy Consumption 1994  

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

, , Energy Information Administration/Household Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related characteristics of highway vehicles available for personal use by members of U.S. households. The data were collected in the 1994 Residential Transportation Energy Consumption Survey, the final cycle in a series of nationwide energy consumption surveys conducted during the 1980's and 1990's by the Energy Information Administrations. Engines Became More Powerful . . . Percent Distribution of Total Residential Vehicle Fleet by Number of Cylinders, 1988 and 1994 Percent Distribution of Vehicle Fleet by Engine Size, 1988 and 1994 Percent Percent 4 cyl Less than 2.50 liters 6 cyl 2.50- 4.49 liters 8 cyl 4.50 liters or greater 20 20 40 40 Vehicle

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

High Pressure Research Questionnaire National High Magnetic Field...  

NLE Websites -- All DOE Office Websites (Extended Search)

Pressure Research Questionnaire National High Magnetic Field Laboratory Operated by Florida State University, University of Florida, Los Alamos National Laboratory Florida State...

262

Energy demand of German households and saving potential  

Science Journals Connector (OSTI)

The implementation of the principles of sustainable development requires both using potentialities in saving resources and cutting down emissions (efficiency strategies) as well as more conscious patterns of behaviour of the actors involved (sufficiency strategies). Starting from the current situation of annual CO2 emissions of about 10 t and a sustainability goal of 1??2 t CO2 emissions per inhabitant and year, the question arises in how far households can contribute to achieve this goal. Therefore, in this paper, the environmental impacts of the energy demand of German households will be evaluated by means of describing its status quo and there from deriving saving potentials.

Anke Eber; Dominik Most; Otto Rentz; Thomas Lutzkendorf

2008-01-01T23:59:59.000Z

263

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

E-Print Network (OSTI)

all units in our da- taset. (AHAM) (see Appendix 7-B in DOEownership provided by AHAM (2010, personal communication).in ownership provided by AHAM to weight the RECS ownership

Greenblatt, Jeffery

2013-01-01T23:59:59.000Z

264

The Travel Behavior of Immigrants and Race/Ethnicity Groups: An Analysis of the 2001 National Household Transportation Survey  

E-Print Network (OSTI)

the average household size for Hispanic respondents isper year, while households of black and Hispanic respondentsHispanic versus settled and native born residents. Vehicle ownership is highly correlated with mode choice as households

Handy, Susan L; Tal, Gil

2005-01-01T23:59:59.000Z

265

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

Gasoline and Diesel Fuel Update (EIA)

... 32.8 17.2 307 13.4 16.1 14.2 2.0 21.3 14.1 Race of Householder White... 149.5 78.3 1,774 77.6...

266

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.46]. The cost of these devices was also statistically significant. Keywords: electricity use; energy efficiency the Canadian Industrial Energy End Use Data and Analysis (CIEEDAC) for their financial support made possible

267

Household Segmentation in Food Insecurity and Soil Improving Practices in Ghana  

E-Print Network (OSTI)

secure household, and households farming medium quality soil increase the probability of adopting soil improving practices. Application of chemical fertilizers, commercial seeds, and pesticides, along with operating under a seasonal lease tenure...

Nata, Jifar T

2013-08-09T23:59:59.000Z

268

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

E-Print Network (OSTI)

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

Forrest, Timothy Lee

2007-04-25T23:59:59.000Z

269

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

Energy.gov (U.S. Department of Energy (DOE))

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

270

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

Energy.gov (U.S. Department of Energy (DOE))

Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of...

271

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

Energy.gov (U.S. Department of Energy (DOE))

When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles...

272

A Comparison of Household Budget Allocation Patterns Between Hispanic Americans and Non-Hispanic White Americans  

Science Journals Connector (OSTI)

The budget allocation patterns of Hispanic versus non-Hispanic White households are examined. Annual household expenditure data from 1980 to 1992 are ... Index (1990). The sample includes 588 Hispanic and 8,444 n...

Jessie X. Fan; Virginia Solis Zuiker

1998-06-01T23:59:59.000Z

273

The household production function approach to valuing climate: the case of Japan  

Science Journals Connector (OSTI)

In fact ours is not the first attempt to use the household production function technique empirically to estimate the ... climate and the impact of climate change on households. But our analysis uses repeated cros...

David Maddison; Katrin Rehdanz; Daiju Narita

2013-01-01T23:59:59.000Z

274

Interaction between building design, management, household and individual factors in relation to energy use for space heating in apartment buildings  

Science Journals Connector (OSTI)

Abstract In Stockholm, 472 multi-family buildings with 7554 dwellings has been selected by stratified random sampling. Information about building characteristics and property management was gathered from each property owners. Energy use for space heating was collected from the utility company. Perceived thermal comfort, household and personal factors were assessed by a standardized self-administered questionnaire, answered by one adult person in each dwelling, and a proportion of each factor was calculated for each building. Statistical analysis was performed by multiple linear regression models with control for relevant factors all at the same time in the model. Energy use for heating was significantly related to the building age, type of building and ventilation, length of time since the last heating adjustment, ownership form, proportion of females, and proportion of occupants expressing thermal discomfort. How beneficial energy efficiency measures will be may depend on the relationship between energy use and factors related to the building and the property maintenance together with household and personal factors, as all these factors interact with each other. The results show that greater focus should be on real estate management and maintenance and also a need for research with a gender perspective on energy use for space heating.

Karin Engvall; Erik Lampa; Per Levin; Per Wickman; Egil fverholm

2014-01-01T23:59:59.000Z

275

Standby electricity consumption and saving potentials of Turkish households  

Science Journals Connector (OSTI)

Abstract The share of the residential sector currently accounts for about 25% of the national electricity consumption in Turkey. Due to increase in household income levels and decrease in the costs of appliances; significant increases in appliance ownerships and residential electricity consumption levels have been observed in recent years. Most domestic appliances continue consuming electricity when they are not performing their primary functions, i.e. at standby mode, which can constitute up 15% of the total household electricity consumption in some countries. Although the demand in Turkish residential electricity consumption is increasing, there are limited studies on the components of the residential electricity consumption and no studies specifically examining the extent and effects of standby electricity consumption using a surveying/measurement methodology. Thus, determining the share of standby electricity consumption in total home electricity use and the ways of reducing it are important issues in residential energy conservation strategies. In this study, surveys and standby power measurements are conducted at 260 households in Ankara, Turkey, to determine the amount, share, and saving potentials of the standby electricity consumption of Turkish homes. The survey is designed to gather information on the appliance properties, lights, electricity consumption behavior, economic and demographics of the occupants, and electricity bills. A total of 1746 appliances with standby power are measured in the surveyed homes. Using the survey and standby power measurements data, the standby, active, and lighting end-use electricity consumptions of the surveyed homes are determined. The average Turkish household standby power and standby electricity consumption are estimated as 22W and 95kWh/yr, respectively. It was also found that the standby electricity consumption constitutes 4% of the total electricity consumption in Turkish homes. Two scenarios are then applied to the surveyed homes to determine the potentials in reducing standby electricity consumption of the households.

Mustafa Cagri Sahin; Merih Aydinalp Koksal

2014-01-01T23:59:59.000Z

276

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

E-Print Network (OSTI)

SUPERB Indoor environment d-limonene a b s t r a c t The use of household cleaning products and air, frequencies of use of eight types of household cleaning products and air fresheners and the performance. Introduction Household care products, such as cleaning products and air fresheners, are frequently used

Leistikow, Bruce N.

277

Income inequality and carbon dioxide emissions: The case of Chinese urban households  

Science Journals Connector (OSTI)

This paper draws on Chinese survey data to investigate variations in carbon dioxide emissions across households with different income levels. Rich households generate more emissions per capita than poor households via both their direct energy consumption and their higher expenditure on goods and services that use energy as an intermediate input. An econometric analysis confirms a positive relationship between emissions and income and establishes a slightly increasing marginal propensity to emit (MPE) over the relevant income range. The redistribution of income from rich to poor households is therefore shown to reduce aggregate household emissions, suggesting that the twin pursuits of reducing inequality and emissions can be achieved in tandem.

Jane Golley; Xin Meng

2012-01-01T23:59:59.000Z

278

EIA - Appendix B: Estimation Methodologies of Household Vehicles Energy  

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

If you have trouble viewing this page, contact the National Energy Informaiton Center at (202) 586-8800. Return to Energy Information Administration Home Page If you have trouble viewing this page, contact the National Energy Informaiton Center at (202) 586-8800. Return to Energy Information Administration Home Page EIA Home > Transportation Home Page > Appendix B Estimation MethodologiesIntroduction Appendix B Estimation Methodologies Introduction Statistics concerning vehicle miles traveled (VMT), vehicle fuel efficiency (given in terms of miles per gallon (MPG)), vehicle fuel consumption, and vehicle fuel expenditures are presented in this report. The methodology used to estimate these statistics relied on data from the 1993 Residential Energy Consumption Survey (RECS), the 1994 Residential Transportation Energy Consumption Survey (RTECS), the U.S. Environmental Protection Agency (EPA) fuel efficiency test results, the U.S. Bureau of Labor Statistics (BLS) retail pump price series, and the Lundberg Survey, Inc., price series for 1994.

279

Untitled  

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

Survey Forms Survey Forms This appendix contains lighting questions from the 1993 RECS Household Questionnaire as well as a complete copy of the Lighting Supplement Questionnaire. Table A1 presents a brief summary of the questions included in each of the questionnaires. A complete list of all forms used in the 1993 Residential Energy Consumption Survey follows. Household Energy Consumption and Expenditures, 1993 contains a copy of each form. EIA-457A -- Household Questionnaire (lighting questions only) EIA-457B -- Household Mail Questionnaire (not included) EIA-457C -- Rental Agent Form (not included) EIA-457D -- Liquefied Petroleum Gas Usage (not included) EIA-457E -- Electricity Usage (not included) EIA-457F -- Utility Gas Usage (not included) EIA-457G -- Fuel Oil or Kerosene Usage (not included)

280

Household Vehicles Energy Use: Latest Data & Trends  

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

B B : E S T I M AT I O N M E T H O D O L O G I E S APPENDIX B A P P E N D I X B ESTIMATION METHODOLOGIES INTRODUCTION The National Household Travel Survey (NHTS) is the nation's inventory of local and long distance travel, according to the U.S. Department of Transportation. Between April 2001 and May 2002, roughly 26 thousand households 41 were interviewed about their travel, based on the use of over 53 thousand vehicles. Using confidential data collected during those interviews, coupled with EIA's retail fuel prices, external data sources of test 42 fuel economy, and internal procedures for modifying test fuel economy to on-road, in-use fuel economy, EIA has extended this inventory to include the energy used for travel, thereby continuing a data series that was discontinued by EIA in 1994. This appendix presents the methods used for each eligible sampled

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Household Vehicles Energy Use: Latest Data & Trends  

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

This page left blank. This page left blank. E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices

282

Household Vehicles Energy Use: Latest Data & Trends  

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

E E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices B and C of this report.

283

The RecQ4 Orthologue Hrq1 Is Critical for DNA Interstrand Cross-Link Repair and Genome Stability in Fission Yeast  

Science Journals Connector (OSTI)

...Cross-Link Repair and Genome Stability in Fission Yeast Lynda...substrates, including bubbles but not blunt duplexes...mediators of genome stability include the RecQ family...cross-link repair and genome stability in fission yeast...substrates, including bubbles but not blunt duplexes...

Lynda M. Groocock; John Prudden; J. Jefferson P. Perry; Michael N. Boddy

2011-11-07T23:59:59.000Z

284

Long-term behaviour of baled household waste  

Science Journals Connector (OSTI)

This study was carried out at the laboratory scale (approximately 15 l) and using real baled waste of industrial dimensions (about 1 m3), in order to assess the long-term behaviour of baled household waste. The laboratory assays were carried out with real household waste which was fractioned on site, reconstituted in the laboratory and then compacted into 15 l airtight containers (unless stated otherwise). These containers were incubated under different experimental conditions at a constant temperature (28C). Three assays were conducted over 34 months and two others over 27 months. For the assays incubated in conditions simulating those of real baled waste (confined medium, with no aeration or water flow), a very low microbial activity was observed. The assay incubated in the same conditions but with slight aeration during the first three months in order to simulate imperfectly airtight wrapping, revealed biodegradation which started in a significant manner after 800 days of incubation. The evolution of two real wrapped bales each containing 900 kg of household waste was monitored over 8 months. These bales were produced industrially, one in July 97 and the other in July 98 at the incinerator plant at Agde (France). The bales were then stored outside at the laboratory location and their evolution was monitored mainly by biogas analysis and temperature measurement. No methane formation was observed, revealing the absence of anaerobic biodegradation, thus confirming the laboratory assays.

Fabian Robles-Mart??nez; Rmy Gourdon

2000-01-01T23:59:59.000Z

285

Untitled  

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

End-Use Estimation Methodology End-Use Estimation Methodology Two Approaches Two approaches for estimating the kilowatthours used for lighting that are based upon data from the 1993 RECS were used in this report. The first approach used only bulb type and hours of usage data from the RECS Lighting Supplement. The second approach is a regression-based approach that uses the full RECS dataset. This appendix will provide more details concerning both of these methods. The main purpose of the Lighting Supplement, which collected data from a subsample of the 1993 RECS respondents, was to develop a model of kilowatthours used for lighting as a function of variables obtained on the full RECS Household Questionnaire. The resulting model was used to create an index of lighting usage. This index was then used as a predictor

286

Health and Productivity Questionnaire (HPQ) Survey Report | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Health and Productivity Questionnaire (HPQ) Survey Report Health and Productivity Questionnaire (HPQ) Survey Report Health and Productivity Questionnaire (HPQ) Survey Report Final Report - 2012 The U.S. Department of Energy (DOE) has been concerned about employees' health and well-being for several years, especially as they relate to workplace productivity and safety. Additionally, the DOE's reliance on an aging workforce makes it even more critical for the Department to ensure that its programs and policies support employees, regardless of their age, to perform their jobs safely, while maintaining productivity, overall health, and well-being. The DOE asked researchers from the University of Maryland, School of Social Work (UMSSW) to study the health and productivity of a sample of the DOE workforce. Specific research objectives

287

OpenEI:Utility data access questionnaire | Open Energy Information  

Open Energy Info (EERE)

data access questionnaire data access questionnaire Jump to: navigation, search Ret Jump to Navigation Utility Access Questionnaire We are not currently accepting submissions. Thank you for your interest. Want to change your response? OMB Control Number: 1910-5164 Expiration Date: 9/30/2016 Public reporting burden for this collection of information is estimated to average 20 minutes per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Office of Management, Paperwork Reduction Project (1910-0400), U.S. Department of Energy, 1000 Independence Avenue, S.W.,

288

Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household  

NLE Websites -- All DOE Office Websites (Extended Search)

1: January 5, 1: January 5, 2004 Number of Household Vehicles has Grown Significantly to someone by E-mail Share Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Facebook Tweet about Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Twitter Bookmark Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Google Bookmark Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Delicious Rank Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Digg Find More places to share Vehicle Technologies Office: Fact #301:

289

Indoor Secondary Pollutants from Household Product Emissions in the  

NLE Websites -- All DOE Office Websites (Extended Search)

Indoor Secondary Pollutants from Household Product Emissions in the Indoor Secondary Pollutants from Household Product Emissions in the Presence of Ozone: A Bench-Scale Chamber Study Title Indoor Secondary Pollutants from Household Product Emissions in the Presence of Ozone: A Bench-Scale Chamber Study Publication Type Journal Article LBNL Report Number LBNL-58785 Year of Publication 2006 Authors Destaillats, Hugo, Melissa M. Lunden, Brett C. Singer, Beverly K. Coleman, Alfred T. Hodgson, Charles J. Weschler, and William W. Nazaroff Journal Environmental Science and Technology Volume 40 Start Page Chapter Pagination 4421-4428 Abstract 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 × 105 molecules cm-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

290

Greenhouse Gas Implications of Household Energy Technology in Kenya  

Science Journals Connector (OSTI)

Energy and Resources Group, University of California, Berkeley, California 94720-3050, Risk, Resource, and Environmental Management Division, Resources for the Future, 1616 P Street NW, Washington, D.C. 20036, and Goldman School of Public Policy, University of California, Berkeley, California 94720-7320 ... Household energy policy is further complicated because charcoal markets in many sub-Saharan African countries operate within a complex political economy that can be hard to characterize and still more difficult to regulate. ... While charcoal consumption carries a larger burden of GHG emissions than firewood use, it also has more potential to attract investment in GHG mitigation activities. ...

Rob Bailis; Majid Ezzati; Daniel M. Kammen

2003-04-01T23:59:59.000Z

291

Enhanced naphthenic refrigeration oils for household refrigerator systems  

SciTech Connect

Due to industry concerns about the successful employment of hydrofluorocarbon-immiscible hydrocarbon oils in refrigeration systems, enhanced naphthenic refrigeration oils have been developed. These products have been designed to be more dispersible with hydrofluorocarbon (HFC) refrigerants, such as R-134a, in order to facilitate lubricant return to the compressor and to ensure proper energy efficiency of the system. Bench tests and system performance evaluations indicate the feasibility of these oils for use in household refrigeration applications. Results of these evaluations are compared with those obtained with polyol esters and typical naphthenic mineral oils employed in chlorofluorocarbon (CFC) and hydrochlorofluorocarbon (HCFC) refrigeration applications.

Reyes-Gavilan, J.L.; Flak, G.T.; Tritcak, T.R. [Witco Corp., Oakland, NJ (United States); Barbour, C.B. [Americold, Cullman, AL (United States)

1997-12-31T23:59:59.000Z

292

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

NLE Websites -- All DOE Office Websites (Extended Search)

0 Home Appliances Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4...

293

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

E-Print Network (OSTI)

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

Raphael, S; Berube, A; Deakin, Elizabeth

2006-01-01T23:59:59.000Z

294

Assessing the Environmental Costs and Benefits of Households Electricity Consumption Management.  

E-Print Network (OSTI)

?? In this study the environmental costs and benefits of smart metering technology systems installed in households in Norway have been assessed. Smart metering technology (more)

Segtnan, Ida Lund

2011-01-01T23:59:59.000Z

295

Household environmental monitoring a strategy to help homeowners reduce their environmental impact  

Science Journals Connector (OSTI)

A group of 20 households was established to study whether we can motivate environmentally sustainable behaviour by providing homeowners with a clear picture of their impact, tangible reasons for improvement, and tailored solutions to follow. Reports for each household compared heating fuel, electricity, water, vehicle fuel/waste generation within the group and recommended cost-effective measures to reduce consumption. On average, 26% of the recommended measures were implemented, resulting in an estimated greenhouse gas reduction of about 2 tonnes per household. Wide variations were found between households, demonstrating the potential to reduce environmental impact through lifestyle, conservation, and energy conscious retrofits.

Jane Thompson; Magda Goemans; Peter C. Goemans; Andrzej Wisniowski

2008-01-01T23:59:59.000Z

296

Wealth: Determinants of Savings Net Worth and Housing Net Worth of Pre-Retired Households  

Science Journals Connector (OSTI)

The objectives of this study are to determine effects of household members' characteristics, financial resources, and attitude ... Subsamples of White respondents, Black respondents, and Hispanic respondents were...

Satomi Wakita; Vicki Schram Fitzsimmons

2000-12-01T23:59:59.000Z

297

Minority and poor households: patterns of travel and transportation fuel use  

SciTech Connect

This report documents the travel behavior and transportation fuel use of minority and poor households in the US, using information from numerous national-level sources. The resulting data base reveals distinctive patterns of household vehicle availability and use, travel, and fuel use and enables us to relate observed differences between population groups to differences in their demographic characteristics and in the attributes of their household vehicles. When income and residence location are controlled, black (and to a lesser extent, Hispanic and poor) households have fewer vehicles regularly available than do comparable white or nonpoor households; moreover, these vehicles are older and larger and thus have significantly lower fuel economy. The net result is that average black, Hispanic, and poor households travel fewer miles per year but use more fuel than do average white and nonpoor households. Certain other findings - notably, that of significant racial differences in vehicle availability and use by low-income households - challenge the conventional wisdom that such racial variations arise solely because of differences in income and residence location. Results of the study suggest important differences - primarily in the yearly fluctuation of income - between black and white low-income households even when residence location is controlled. These variables are not captured by cross-sectional data sets (either the national surveys used in our analysis or the local data sets that are widely used for urban transportation planning).

Millar, M.; Morrison, R.; Vyas, A.

1986-05-01T23:59:59.000Z

298

An analysis of residential energy consumption and expenditures by minority households by home type and housing vintage  

SciTech Connect

In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.

Poyer, D.A.

1992-01-01T23:59:59.000Z

299

An analysis of residential energy consumption and expenditures by minority households by home type and housing vintage  

SciTech Connect

In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.

Poyer, D.A.

1992-06-01T23:59:59.000Z

300

Is It Time to Abandon the Food Frequency Questionnaire?  

Science Journals Connector (OSTI)

...records or 24-hour recalls, is generally not good. Correlations between FFQ- and recall-derived...Computer-administered questionnaires, delivered via internet or on touch-screen tablet computers...24-hour recall could be delivered over the internet or on a pocket PC. Distributing small...

Alan R. Kristal; Ulrike Peters; and John D. Potter

2005-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Automated questionnaire for sensitive positions, SF-86 (QSP system)  

SciTech Connect

In 1988, the office of Personnel Management drastically revised the investigative form used as a source document in conducting background investigations. To manually produce the revised form, the Questionnaire for Sensitive Positions, the Westinghouse Hanford Company/Boeing Computer Services, Richland, Inc., would have required an estimated increased staff effort of 32%. One alternative was to create a computer-aided system, the Automated Questionnaire for Sensitive Positions. Through development and implementation of the system, the need for additional staffing has been eliminated, the predetermined reinvestigation submission quotas have been maintained, and the Office of Personnel Management rejection rate has been reduced to less than 1%. There are currently 20 known facilities successfully using the US Department of Energy and Office of Personnel Management approved Automated Questionnaire for Sensitive Positions. By storing a facsimile of the Questionnaire for Sensitive Positions form in the laser printer's memory, using electronic forms-generation software, an applicant or employee data file is merged with this electronic form image and printed together as one form. The applicant or employee data can be retained indefinitely with minimal file updates for the five-year reinvestigation or other investigations, as needed.

Fisher, M.J.; Deatherage, K.W. (Westinghouse Hanford Co., Richland, WA (United States) Boeing Computer Services Co., Richland, WA (United States))

1991-07-01T23:59:59.000Z

302

Control of household refrigerators. Part 1: Modeling temperature control performance  

SciTech Connect

Commercial household refrigerators use simple, cost-effective, temperature controllers to obtain acceptable control. A manually adjusted airflow damper regulates the freezer compartment temperature while a thermostat controls operation of the compressor and evaporator fan to regulate refrigerator compartment temperature. Dual compartment temperature control can be achieved with automatic airflow dampers that function independently of the compressor and evaporator fan thermostat, resulting in improved temperature control quality and energy consumption. Under dual control, freezer temperature is controlled by the thermostat while the damper controls refrigerator temperature by regulating airflow circulation. A simulation model is presented that analyzes a household refrigerator configured with a conventional thermostat and both manual and automatic dampers. The model provides a new paradigm for investigating refrigerator systems and temperature control performance relative to the extensive verification testing that is typically done by manufacturers. The effects of each type of control and damper configuration are compared with respect to energy usage, control quality, and ambient temperature shift criteria. The results indicate that the appropriate control configuration can have significant effects and can improve plant performance.

Graviss, K.J.; Collins, R.L.

1999-07-01T23:59:59.000Z

303

Environmental attitudes and household consumption: an ambiguous relationship  

Science Journals Connector (OSTI)

This article analyses the relationship between environmental attitudes and energy use in the home and for transport by Norwegian households. Quantitative surveys were used to find statistical correlations, and qualitative analyses to reveal mechanisms that influence the ability to behave in an environmentally friendly way. Three theses about attitudes, mechanisms and household consumption are presented. Firstly, a desire to project an environmentally friendly image has little influence on energy use in the home and for transport. Secondly, a sense of powerlessness prevents people from translating positive environmental attitudes into low energy use in the home and for everyday transport. Thirdly, a desire to self-indulge prevents people from translating positive environmental attitudes into low energy use for long distance leisure travel. These results have important implications for environmental policy. Public information and awareness campaigns can give consumers information on how to behave in an environmentally responsible way, but tend only to influence categories of consumption with little environmental impact. Structural change can be used to mitigate the effect of the sense of powerlessness and encourage environmentally friendly behaviour, but the desire to self-indulge is much more difficult to deal with.

Erling Holden; Kristin Linnerud

2010-01-01T23:59:59.000Z

304

Household demand and willingness to pay for hybrid vehicles  

Science Journals Connector (OSTI)

Abstract This paper quantitatively evaluates consumers' willingness to pay for hybrid vehicles by estimating the demand of hybrid vehicles in the U.S. market. Using micro-level data on consumer purchases of hybrid and non-hybrid vehicles from National Household Travel Survey 2009, this paper formulates a mixed logit model of consumers' vehicle choices. Parameter estimates are then used to evaluate consumers' willingness to pay for hybrids. Results suggest that households' willingness to pay for hybrids ranges from $963 to $1718 for different income groups, which is significantly lower than the average price premium (over $5000) of hybrid vehicles, even when taking the fuel costs savings of hybrid vehicles into consideration. The differences reveal that although the market has shown increasing interest in hybrid vehicles, consumers' valuation of the hybrid feature is still not high enough to compensate for the price premium when they make new purchases. Policy simulations are conducted to examine the effects of raising federal tax incentives on the purchase of hybrid vehicles.

Yizao Liu

2014-01-01T23:59:59.000Z

305

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

E-Print Network (OSTI)

-home assessment included an audio recorded interview on food habits and beliefs. Complete data were collected from all 9 women (32.8 y +/- 6.0; 3 married; 4 +/- 1.6 adults/children in household; 4 SNAP; 6 food insecure) and their households. Weekly grocery...

Sisk, Cheree L.

2010-10-12T23:59:59.000Z

306

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

E-Print Network (OSTI)

technologies. Given China's rich coal resources, the production and use of coal-derived DME as a cooking fuelDimethyl 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

307

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

E-Print Network (OSTI)

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

Sekhon, Jasjeet S.

308

The Driving Internal Beliefs of Household Internet Adoption among Jordanians and the Role of Cultural Values  

Science Journals Connector (OSTI)

The purpose of this study is to develop and validate a comprehensive model for the determinants of household Internet adoption through identifying the driving internal beliefs of individuals and the effect of cultural values on behavioral intention to ... Keywords: Hofstede's Cultural Dimensions, Household Internet Adoption, Internal Beliefs, Micro Cultural Level, Perceived Risks, Technology Acceptance Model

Amin A. Shaqrah; Khaled Saleh Al Omoush; Raed Musbah Alqirem

2011-01-01T23:59:59.000Z

309

Particle and Gas Emissions from a Simulated Coal-Burning Household Fire Pit  

Science Journals Connector (OSTI)

Particle and Gas Emissions from a Simulated Coal-Burning Household Fire Pit ... Chinese anthracite and bituminous coals produce different amounts of emissions when burned in a fire pit that simulates common rural household use of these fuels. ... Here we present emissions from burning 15 different fuels in a laboratory system designed to mimic the fire pits used in Xuan Wei County, China. ...

Linwei Tian; Donald Lucas; Susan L. Fischer; S. C. Lee; S. Katharine Hammond; Catherine P. Koshland

2008-02-21T23:59:59.000Z

310

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

E-Print Network (OSTI)

#12;1 Journal: Ecological Applications1 2 Carbon, nitrogen, and phosphorus fluxes in household Resources Center, Saint Paul, MN 551089 3 University of Minnesota, Department of Ecology, Evolution with several29 components of household activities including air and motor vehicle travel, food consumption,30

Minnesota, University of

311

Flame Retardant Transfers from U.S. Households (Dust and Laundry Wastewater) to the Aquatic Environment  

Science Journals Connector (OSTI)

Analytes were ionized by APPI; dopant (acetone) was introduced (150 ?L/min) by a liquid chromatography pump (LC-20AD, Shimadzu Corporation, Kyoto, Japan). ... We collected repeat dust samples from 292 households in the Northern California Childhood Leukemia Study during two sampling rounds (from 2001 to 2007 and during 2010) using household vacuum cleaners and measured 22 PBDEs using high resoln. ...

Erika D. Schreder; Mark J. La Guardia

2014-09-17T23:59:59.000Z

312

Passive sampling methods to determine household and personal care product use  

E-Print Network (OSTI)

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

Leistikow, Bruce N.

313

Household Vehicles Energy Use: Latest Data & Trends  

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

C C : Q U A L I T Y O F T H E D ATA APPENDIX C A P P E N D I X C QUALITY OF THE DATA INTRODUCTION This section discusses several issues relating to the quality of the National Household Travel Survey (NHTS) data and to the interpretation of conclusions based on these data. In particular, the focus of our discussion is on the quality of specific data items, such as the fuel economy and fuel type, that were imputed to the NHTS via a cold-decking imputation procedure. This imputation procedure used vehicle-level information from the NHTSA Corporate Average Fuel Economy files for model year's 1978 through 2001. It is nearly impossible to quantify directly the quality of this imputation procedure because NHTS does not collect the necessary fuel economy information for comparison. At best, we have indirect evidence on the quality of our

314

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Everyone in Your Household to Save Energy? Everyone in Your Household to Save Energy? How Do You Encourage Everyone in Your Household to Save Energy? June 18, 2009 - 5:25pm Addthis Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people-be they roommates, spouses, children, or maybe even yourself-just seem to need some extra reminders to take simple energy-saving steps. How do you encourage everyone in your household to save energy? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please comment with your answers, and also feel free to respond to other comments. Addthis Related Articles How Have You Helped Someone Else Save Energy?

315

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Do You Encourage Everyone in Your Household to Save Energy? Do You Encourage Everyone in Your Household to Save Energy? How Do You Encourage Everyone in Your Household to Save Energy? June 18, 2009 - 5:25pm Addthis Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people-be they roommates, spouses, children, or maybe even yourself-just seem to need some extra reminders to take simple energy-saving steps. How do you encourage everyone in your household to save energy? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please comment with your answers, and also feel free to respond to other comments. Addthis Related Articles How Have You Helped Someone Else Save Energy?

316

Lifestyle change and energy use in Japan: Household equipment and energy consumption  

Science Journals Connector (OSTI)

Energy use in the Japanese residential sector has more than doubled (on a per-household basis) during the post-war period. Important factors contributing to the increase include changes in the types of housing built, heating, cooling, water-heating equipment, and other appliances. In this paper, the developments of household equipment and living conditions in Japan are described, from their 1950s state to the present. Trends in energy consumption by fuel types and end uses are reviewed over the same period. The past trends are combined with expectations for future developments in household equipment and quality, as well as with international comparisons of household-energy use, to predict further increases in household-energy consumption. The results indicate the importance of a renewed emphasis on energy efficiency in the residential sector.

Hidetoshi Nakagami

1996-01-01T23:59:59.000Z

317

Knowledge Elecitation for Factors Affecting Taskforce Productivity using a Questionnaire  

E-Print Network (OSTI)

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.

Muhammad Sohail; Abdur Rashid Khan

2009-07-30T23:59:59.000Z

318

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

E-Print Network (OSTI)

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

Arlikatti, Sudha S

2006-10-30T23:59:59.000Z

319

2014 Virginia Polytechnic Institute and State University BSE-158NP Household Water Quality in Loudoun County, Virginia  

E-Print Network (OSTI)

2014 Virginia Polytechnic Institute and State University BSE-158NP Household Water Quality in Loudoun County, Virginia OCTOBER 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

320

2014 Virginia Polytechnic Institute and State University BSE-151NP Household Water Quality in Albemarle County, Virginia  

E-Print Network (OSTI)

2014 Virginia Polytechnic Institute and State University BSE-151NP Household Water Quality in Albemarle County, Virginia APRIL 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

2014 Virginia Polytechnic Institute and State University BSE-162NP Household Water Quality in Pittsylvania County, Virginia  

E-Print Network (OSTI)

2014 Virginia Polytechnic Institute and State University BSE-162NP Household Water Quality in Pittsylvania County, Virginia OCTOBER 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

322

Community Rating, Cross Subsidies and Underinsurance: Why so many Households in Japan do not Purchase Earthquake Insurance  

Science Journals Connector (OSTI)

Japan is famous for its earthquakes. According to ... survey, however, only 20% of Japanese households purchased an earthquake insurance policy in 2005. Why do so many households in Japan not purchase earthquake ...

Michio Naoi; Miki Seko; Kazuto Sumita

2010-05-01T23:59:59.000Z

323

Xcel Energy REC Portfolio  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Xcel Energy Renewable Resources Xcel Energy Renewable Resources Jim Hill February 7, 2012 2 Xcel Energy Overview Northern States Power Company- Minnesota Northern States Power Company- Minnesota Northern States Power Company- Minnesota Northern States Power Company- Minnesota Public Service Company of Colorado Public Service Company of Colorado Public Service Company of Colorado Public Service Company of Colorado Southwestern Public Service Southwestern Public Service Southwestern Public Service Southwestern Public Service Northern States Power Company- Wisconsin Northern States Power Company- Wisconsin Northern States Power Company- Wisconsin Northern States Power Company- Wisconsin 5 th Largest Combination Electric and Gas Utility (based on customers) 5 th Largest Combination Electric and Gas Utility (based on customers)

324

IBm1024 Inteligncia Artificial 2 Semestre/2013 Nmero Nome P1 P2 Sub MP T1 T2 T2' T3 MT L1 L2 L3 L4 L5 L6 L7 L8 L9 L10 E1 E2 L+E F %F MF Situao Rec MR Situao aps Rec  

E-Print Network (OSTI)

L4 L5 L6 L7 L8 L9 L10 E1 E2 L+E F %F MF Situação Rec MR Situação após Rec 7961541 Amir do NascimentoIBm1024 Inteligência Artificial 2º Semestre/2013 Número Nome P1 P2 Sub MP T1 T2 T2' T3 MT L1 L2 L3 Elemam 1.4 3.5 4.4 4.0 0.0 10.0 10.0 0.0 6.7 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 1.1 5 83% 5.1

Baranauskas, José Augusto

325

Development of a questionnaire to test the impact of scarce materials on design in Developing Countries  

E-Print Network (OSTI)

The objective of this thesis is to create a questionnaire that tests how designers in developing countries design with scarce resources. The questionnaire will be given to mechanical engineering students in Mexico and will ...

Grinnell, Edward (Edward M.)

2011-01-01T23:59:59.000Z

326

Special Topics on Energy Use in Household Transportation  

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

Home Page Welcome to the Energy Information Administration's Residential Transportation Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Home Page Welcome to the Energy Information Administration's Residential Transportation Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Home > Transportation Home Page > Special Topics Special Topics Change in Method for Estimating Fuel Economy for the 1988 and subsequent RTECS (Released 09/12/2000) Can Household Members Accurately Report How Many Miles Their Vehicles Are Driven? (Released 08/03/2000) Calculate your Regional Gasoline Costs of Driving using the “Transportation Calculator” updated for new model years! Choose your car or SUV and see the gasoline part of the cost of driving in various parts of the country using EIA's current weekly prices. This application uses DOE/EPA's Fuel Economy Guide to set the MPG, but you can change it to compare your estimate of your car's mpg to the average of everyone else who takes the test. (Released 04/11/2000; Updated Yearly for Fuel Economies and Weekly for Fuel Prices)

327

Analysis of household refrigerators for different testing standards  

SciTech Connect

This study highlights the salient differences among various testing standards for household refrigerator-freezers and proposes a methodology for predicting the performance of a single evaporator-based vapor-compression refrigeration system (either refrigerator or freezer) from one test standard (where the test data are available-the reference case) to another (the alternative case). The standards studied during this investigation include the Australian-New Zealand Standard (ANZS), the International Standard (ISO), the American National Standard (ANSI), the Japanese Industrial Standard (JIS), and the Chinese National Standard (CNS). A simple analysis in conjunction with the BICYCLE model (Bansal and Rice 1993) is used to calculate the energy consumption of two refrigerator cabinets from the reference case to the alternative cases. The proposed analysis includes the effect of door openings (as required by the JIS) as well as defrost heaters. The analytical results are found to agree reasonably well with the experimental observations for translating energy consumption information from one standard to another.

Bansal, P.K. [Univ. of Auckland (New Zealand). Dept. of Mechanical Engineering; McGill, I. [Fischer and Paykel Ltd., Auckland (New Zealand)

1995-08-01T23:59:59.000Z

328

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

Reports and Publications (EIA)

In 2012, the residential sector accounted for 21% of total primary energy consumption and about 20% of carbon dioxide emissions in the United States (computed from EIA 2013). Because of the impacts of residential sector energy use on the environment and the economy, this study was undertaken to help provide a better understanding of the factors affecting energy consumption in this sector. The analysis is based on the U.S. Energy Information Administration's (EIA) residential energy consumption surveys (RECS) 1980-2009.

2015-01-01T23:59:59.000Z

329

Solar disinfection: an approach for low-cost household water treatment technology in Southwestern Ethiopia  

Science Journals Connector (OSTI)

Disinfection of contaminated water using solar radiation (SODIS) is known to inactivate ... study was aiming to test the efficiency of solar disinfection using different water parameters as low-cost household wat...

Awrajaw Dessie; Esayas Alemayehu

2014-01-01T23:59:59.000Z

330

Metering Campaign on All Cooking End-Uses in 100 Households  

Science Journals Connector (OSTI)

This paper presents the findings of an experimental study performed in 100 French households on the end-use power demand and energy consumption of domestic appliances focusing on cooking appliances [1].

Olivier Sidler

2001-01-01T23:59:59.000Z

331

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

E-Print Network (OSTI)

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 ...

Stevenson, Matthew M

2009-01-01T23:59:59.000Z

332

Household technology adoption in a global marketplace: Incorporating the role of espoused cultural values  

Science Journals Connector (OSTI)

While MATH and the extended MATH have done an excellent job in explaining household technology adoption, there is still room for advancing our understanding of this phenomenon in light of the complexities embo...

Xiaojun Zhang; Likoebe M. Maruping

2008-09-01T23:59:59.000Z

333

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

E-Print Network (OSTI)

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 ...

Rausch, Sebastian

334

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

Energy.gov (U.S. Department of Energy (DOE))

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

335

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

E-Print Network (OSTI)

prices, and determinants of household food insecurity are discussed and presented in three separate essays. In the first essay, the dynamic information flows among prices of important agricultural commodities in the United States (U.S.) and Mexico...

Magana Lemus, David

2013-09-20T23:59:59.000Z

336

Race, median household income, and primary Grade IV glioma treatment patterns  

Science Journals Connector (OSTI)

...behaviors among a population of Hispanic origin. Daisy Gonzalez 1...population subgroups, including Hispanics. Objective: This study assessed...population-based sample of Hispanic women in PR. Methods: This...complex sampling design of households in the San Juan Metropolitan...

Jill S. Barnholtz-Sloan; Vonetta L. Williams; Marc Chamberlain; and Andrew E. Sloan

2006-04-15T23:59:59.000Z

337

Household structure and labor force participation of black, hispanic, and white mothers  

Science Journals Connector (OSTI)

This paper investigates whether the inclusion of nonnuclear adults in a household facilitates the labor force participation of single and married mothers. Results based on a sample of extended and nuclear hous...

Marta Tienda; Jennifer Glass

1985-08-01T23:59:59.000Z

338

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

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

Drivers of U.S. Household Energy Consumption, 1980-2009 February 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy...

339

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network (OSTI)

market share for alternative-fuel vehicles drop from thePreferences for Alternative-Fuel Vehicles, Brownstone DavidA Dynamic Household Alternative-fuel Vehicle Demand Model

Sheng, Hongyan

1999-01-01T23:59:59.000Z

340

The effect of household characteristics on saving behaviour and the theory of savings in Japan  

Science Journals Connector (OSTI)

The purpose of this paper is to estimate the household saving functions based on cross-section data which contain fruitful informations of individual observations. The paper also attempts to test various theor...

T. Suruga; T. Tachibanaki

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

The Relationship Between Life Satisfaction Among Wives and Financial Preparedness of Households in Japan  

Science Journals Connector (OSTI)

The wealth gap between the rich and poor is widening and contributing to Japans shrinking middle class. This study examined ... future and life satisfaction and their association with household financial prepare...

Yoko Mimura

2014-02-01T23:59:59.000Z

342

Modelling useful energy demand system as derived from basic needs in the household sector  

Science Journals Connector (OSTI)

Inter-fuel substitution in the household sector depends on whether their target energy use is similar or not. To account ... for the effect of end-use application on energy demand, the concept of useful energy is...

Zahra A. Barkhordar; Yadollah Saboohi

2014-10-01T23:59:59.000Z

343

Development of the Household Sample for Furnace and Boiler Life-Cycle Cost  

NLE Websites -- All DOE Office Websites (Extended Search)

Development of the Household Sample for Furnace and Boiler Life-Cycle Cost Development of the Household Sample for Furnace and Boiler Life-Cycle Cost Analysis Title Development of the Household Sample for Furnace and Boiler Life-Cycle Cost Analysis Publication Type Report LBNL Report Number LBNL-55088 Year of Publication 2005 Authors Whitehead, Camilla Dunham, Victor H. Franco, Alexander B. Lekov, and James D. Lutz Document Number LBNL-55088 Pagination 22 Date Published May 31 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract 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.

344

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

SciTech Connect

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

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

2006-11-15T23:59:59.000Z

345

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

E-Print Network (OSTI)

that households? experience and government income support programs influence homeownership in Mexico. A secondary objective is to determine how socio-demographic variables influence homeownership in Mexico. Based on the Random Utility Model, logit models... of Direct Rural Support of Mexico (PROGRESA) and the Program of Direct Rural Support of Mexico (PROCAMPO), appear to be increasing iii homeownership. These social welfare programs provide cash transfers to households. For whatever reason, PROGRESA...

Lopez Cabrera, Jesus Antonio 1977-

2012-11-05T23:59:59.000Z

346

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

E-Print Network (OSTI)

Education 7 10 Martial Status 5 11 Male Head Occupation 12 12 Female Head Occupation 12 13 Household Composition 8 14 Race 4 15 Hispanic Origin 2 16 Region 4 17 Scantrack Market Identifier 53 18 Projection Factor 1... classified as either Hispanic or not Hispanic, with 18% being Hispanic and 82% not Hispanic. Since female household heads are considered primary to making food purchase decisions some key statistics about this demographic variable are included. Of all...

Stockton, Matthew C.

2005-02-17T23:59:59.000Z

347

Household Light Makes Global Heat: High Black Carbon Emissions From Kerosene Wick Lamps  

Science Journals Connector (OSTI)

(3) Lighting is another component of this household energy challenge, with millions of households still relying on simple liquid-fueled lamps, but little is known of the associated environmental and health impacts. ... For laboratory tests, CO2 and CO concentrations were measured in real-time with a Li-COR 6252 (Li-COR Biosciences, Lincoln, NE) and Horiba AIA-220 (Horiba, Kyoto, Japan) nondispersive infrared (NDIR) analyzer, respectively. ...

Nicholas L. Lam; Yanju Chen; Cheryl Weyant; Chandra Venkataraman; Pankaj Sadavarte; Michael A. Johnson; Kirk R. Smith; Benjamin T. Brem; Joseph Arineitwe; Justin E. Ellis; Tami C. Bond

2012-11-19T23:59:59.000Z

348

Arsenic Removal from Groundwater by Household Sand Filters:? Comparative Field Study, Model Calculations, and Health Benefits  

Science Journals Connector (OSTI)

Arsenic Removal from Groundwater by Household Sand Filters:? Comparative Field Study, Model Calculations, and Health Benefits ... Simultaneously, raw groundwater from the same households and additional 31 tubewells was sampled to investigate arsenic coprecipitation with hydrous ferric iron from solution, i.e., without contact to sand surfaces. ... Concentra tions of total Fe, Mn, Na, K, Mg, and Ca were quantified by atomic absorption spectroscopy (Shimadzu AA-6800, Kyoto, Japan). ...

Michael Berg; Samuel Luzi; Pham Thi Kim Trang; Pham Hung Viet; Walter Giger; Doris Stben

2006-07-19T23:59:59.000Z

349

Summary of the MECS 2002 User Needs Questionnaire  

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

View 2002 User Needs Survey !! View 2002 User Needs Survey !! Summary of the MECS 2002 User Needs Questionnaire CLASSIFICATION Question 1: "The MECS is now required to classify manufacturing establishments according to the North American Industry Classification System (NAICS). This listing shows the 1998 MECS classifications, which does not include every manufacturing classification. Are there any other manufacturing types that would be of interest to you regarding MECS data. The corresponding NAICS code is not necessary, but please provide it, if known. For a full list of all manufacturing classifications, see www.census.gov/epcd/naics02/naicod02.htm#N31 (opens a new window)." Of the 37 user responses, 17 did not answer this question, 3 answered the question "sufficient," and 2 answered "no." .

350

Section CIR: CASE IDENTIFICATION RECORD  

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

U.S. Department of Energy Energy Information Administration 2009 Residential Energy Consumption Survey Household Questionnaire 2 NOTES This document contains a printed version of the 2009 Residential Energy Consumption Survey (RECS). The RECS is a Computer Assisted Personal Interview (CAPI) and so the printed questionnaire is never used, however, this version allows interested parties and data users to see all questions in the order they are asked, response categories, and question skip patterns. RECS is programmed in Blaise and analyzed in SAS. As a result, there are two variables for each question. The first variable is the Blaise variable as it appears in the CAPI and the second variable is the SAS variable as it appears in the data files.

351

The impact of the Persian Gulf crisis on household energy consumption and expenditure patterns  

SciTech Connect

The Iraqi invasion of the Kingdom of Kuwait on August 2, 1990, and the subsequent war between Iraq and an international alliance led by the United States triggered first immediate and then fluctuating world petroleum prices. Increases in petroleum prices and in U.S. petroleum imports resulted in increases in the petroleum prices paid by U.S. residential, commercial, and industrial consumers. The result was an immediate price shock that reverberated throughout the U.S. economy. The differential impact of these price increases and fluctuations on poor and minority households raised immediate, significant, and potentially long-term research, policy, and management issues for a variety of federal, state, and local government agencies, including the U.S. Department of Energy (DOE). Among these issues are (1) the measurement of variations in the impact of petroleum price changes on poor, nonpoor, minority, and majority households; (2) how to use the existing policy resources and policy innovation to mitigate regressive impacts of petroleum price increases on lower-income households; and (3) how to pursue such policy mitigation through government agencies severely circumscribed by tax and expenditure limitations. Few models attempt to assess household energy consumption and energy expenditure under various alternative price scenarios and with respect to the inclusion of differential household choices correlated with such variables as race, ethnicity, income, and geographic location. This paper provides a preliminary analysis of the nature and extent of potential impacts of petroleum price changes attributable to the Persian Gulf War and its aftermath on majority, black, and Hispanic households and on overlapping poor and nonpoor households. At the time this was written, the Persian Gulf War had concluded with Iraq`s total surrender to all of the resolutions and demands of the United Nations and United States.

Henderson, L. [Univ. of Baltimore, MD (United States); Poyer, D.; Teotia, A. [Argonne National Lab., IL (United States)

1994-09-01T23:59:59.000Z

352

Evaluation of the soft measures' effects on ambient water quality improvement and household and industry economies  

Science Journals Connector (OSTI)

Abstract Various ecological footprint calculators, carbon footprint calculators and water footprint calculators have been developed in recent years. The basic concepts of ecological behaviour record notebooks and of carbon dioxide emission calculators have been developed since the late 20th century. The first carbon dioxide emission calculator was developed in 1991. Likewise, water pollutant discharge calculators have been developed to estimate the effects of soft measures introduced into households to reduce pollutant discharge since 2004. The soft measures which have been developed in Japan may consist of a wider framework, household sustainable consumption, which has been developed in Europe, and can be referred to cleaner consumption. In this research, summarisation of the short history of ecological behaviour record notebooks and ecological footprint calculators in Japan since the 1980s was conducted, and the soft measures in households to reduce pollutant discharge were evaluated for their effects on ambient water quality improvement as well as household and industry economies. Effects of the soft measures on related industry economies were investigated using an InputOutput Tableanalysis and the effects of the imported goods were evaluated with an import effect matrix, which was developed in this research. The effects of the soft measures on household expenditures were estimated to be a decrease by 2.5% or USD 285 person?1year?1 in 20032006. The results show that the soft measures positively affect the chemical fibre industry and significantly affect the detergent industry. Analysis of the import effect matrix proved that the six industries were tightly related through extensive amounts of imported goods. The soft measures in households may lead to household sustainable consumption and thus reduce disadvantageous human impacts on water environments. The effects of the measures introduced to improve the environment should be qualitatively and quantitatively evaluated to avoid redundant concerns and discord between the environment and the economy, which may be worried when the relationship is not well understood.

Yoshiaki Tsuzuki

2014-01-01T23:59:59.000Z

353

Greenhouse gas emissions from home composting of organic household waste  

SciTech Connect

The emission of greenhouse gases (GHGs) is a potential environmental disadvantage of home composting. Because of a lack of reliable GHG emission data, a comprehensive experimental home composting system was set up. The system consisted of six composting units, and a static flux chamber method was used to measure and quantify the GHG emissions for one year composting of organic household waste (OHW). The average OHW input in the six composting units was 2.6-3.5 kg week{sup -1} and the temperature inside the composting units was in all cases only a few degrees (2-10 {sup o}C) higher than the ambient temperature. The emissions of methane (CH{sub 4}) and nitrous oxide (N{sub 2}O) were quantified as 0.4-4.2 kg CH{sub 4} Mg{sup -1} input wet waste (ww) and 0.30-0.55 kg N{sub 2}O Mg{sup -1} ww, depending on the mixing frequency. This corresponds to emission factors (EFs) (including only CH{sub 4} and N{sub 2}O emissions) of 100-239 kg CO{sub 2}-eq. Mg{sup -1} ww. Composting units exposed to weekly mixing had the highest EFs, whereas the units with no mixing during the entire year had the lowest emissions. In addition to the higher emission from the frequently mixed units, there was also an instant release of CH{sub 4} during mixing which was estimated to 8-12% of the total CH{sub 4} emissions. Experiments with higher loads of OHW (up to 20 kg every fortnight) entailed a higher emission and significantly increased overall EFs (in kg substance per Mg{sup -1} ww). However, the temperature development did not change significantly. The GHG emissions (in kg CO{sub 2}-eq. Mg{sup -1} ww) from home composting of OHW were found to be in the same order of magnitude as for centralised composting plants.

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

2010-12-15T23:59:59.000Z

354

Chemical Characterization and Source Apportionment of Household Fine Particulate Matter in Rural, Peri-urban, and Urban West Africa  

Science Journals Connector (OSTI)

In addition to households own fuel, HAP in urban households is affected by the extent of biomass use in the neighborhood, and by traffic-related sources. ... The elemental concentrations of the samples were quantified by energy dispersive X-ray fluorescence (ED-XRF) using a Shimadzu EDX-700HS spectrometer (Shimadzu Corp., Japan) at the Institute of Astronomy, Geophysics and Atmospheric Science, University of Sao Paulo, Brazil. ...

Zheng Zhou; Kathie L. Dionisio; Thiago G. Verissimo; Americo S. Kerr; Brent Coull; Stephen Howie; Raphael E. Arku; Petros Koutrakis; John D. Spengler; Kimberly Fornace; Allison F. Hughes; Jose Vallarino; Samuel Agyei-Mensah; Majid Ezzati

2013-12-18T23:59:59.000Z

355

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

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

3 Household Characteristics by Four Most Populated States, 2005" 3 Household Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Household Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Household Size" "1 Person",30,1.8,1.9,2,3.2 "2 Persons",34.8,2.2,2.3,2.4,3.2 "3 Persons",18.4,1.1,1.3,1.2,1.8 "4 Persons",15.9,1,0.9,1,2.3 "5 Persons",7.9,0.6,0.6,0.9,0.9 "6 or More Persons",4.1,0.4,"Q",0.5,0.7 "2005 Annual Household Income Category" "Less than $9,999",9.9,0.8,0.7,0.9,1 "$10,000 to $14,999",8.5,0.8,0.4,0.6,0.7

356

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

SciTech Connect

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.

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

2005-05-31T23:59:59.000Z

357

Feed the Future Bangladesh: Baseline Integrated Household Survey | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Feed the Future Bangladesh: Baseline Integrated Household Survey Feed the Future Bangladesh: Baseline Integrated Household Survey Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Feed the Future Bangladesh: Baseline Integrated Household Survey Dataset Summary Description The Bangladesh Integrated Household Survey dataset is a thorough assessment of current standard of food security in Bangladesh taken from 2011-2012. The dataset includes all baseline household surveys made under the USAID-led Feed the Future initiative, a collaborative effort that supports country-owned processes and plans for improving food security and promoting transparency, and within the Zones of Influence as outlined by the Feed the Future Bangladesh plan .The BIHS sample is statistically representative at the following levels: (a) nationally representative of rural Bangladesh; (b) representative of rural areas of each of the seven administrative divisions of the country; and, (c) representative of the Feed the Future (FTF) zone of influence.

358

Household transmission of pandemic 2009 influenza A (H1N1) virus in Osaka, Japan in May 2009  

Science Journals Connector (OSTI)

SummaryObjective To assess household transmission of pandemic influenza A (H1N1) and effectiveness of postexposure prophylaxis (PEP) of antiviral drugs among household contacts of patients during the first pandemic influenza A (H1N1) outbreak in Osaka, Japan in May 2009. Methods Active surveillance of patients and their families was conducted. Public Health Center staff visited each home with an infected patient and advised every household member with regard to precautionary measures, and PEP was provided to household contacts to prevent secondary infection. We analyzed the effectiveness of PEP and characteristics of secondary infection. Results The secondary attack rate (SAR) among household contacts was 3.7%. The SAR among household contacts without PEP was 26.1%. However, the SAR among those with PEP was 0.6%. Only two of 331 household contacts with PEP became infected. One of the two was infected with an oseltamivir-resistant strain. Analysis of SAR by age group showed that those under 20 years of age were at higher risk than those over 20 (relative risk [RR]=7.9; 95% confidence interval [CI]=2.2427.8). Significant differences with respect to sex, number of household contacts, and use of antiviral medications in the index cases were not observed. Conclusions Our present results indicate that PEP is effective for preventing secondary H1N1 infection among household contacts.

N. Komiya; Y. Gu; H. Kamiya; Y. Yahata; Y. Yasui; K. Taniguchi; N. Okabe

2010-01-01T23:59:59.000Z

359

Quantitative evaluation of effects of the soft interventions or cleaner production in households and the hard interventions: A Social Experiment Programme in a large river basin in Japan  

Science Journals Connector (OSTI)

Efforts have been made to reduce municipal wastewater pollutant discharge and improve river water quality in the Yamato-gawa River basin since 2005, as part of a Social Experiment Programme. The Programme was the first one in Japan to disseminate soft interventions in households, measurements to reduce pollutant discharge, in a large river basin with more than two million population. The soft interventions in households are similar to cleaner production in industrial sector because they are not the wastewater treatment and changing of lifestyles. This paper presents several methods for quantification of the pollutant discharge reduction. Two hypothetical soft intervention combinations were defined, the effects of 16 soft interventions were estimated using their proliferation rates, and estimated pollutant discharge reduction was compared with changes in river water quality during the Programme events. For the first method, environmental accounting housekeeping (EAH) books were applied to estimate a 3853% reduction in biological oxygen demand (BOD), 2640% reduction in total nitrogen (TN), and 2132% reduction in total phosphorus (TP). These estimation results were comparable with the field survey results of approximately 100 person population, which were conducted in the late 1980s. Soft interventions were found to be several times more cost effective than hard interventions, such as development of municipal wastewater treatment and river water purification systems. The BOD discharge reduction effects of soft interventions initiated during Programme events increased from 0.32.3% in 20052007 to 2.44.7% in 20072009. The questionnaire surveys found that participants in the Programme events in average newly implemented three or four soft interventions in addition to those already implemented at normal times.

Yoshiaki Tsuzuki; Minoru Yoneda; Ryohei Tokunaga; Shinsuke Morisawa

2012-01-01T23:59:59.000Z

360

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

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

5 Space Heating Usage Indicators by Household Income, 2005" 5 Space Heating Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Could a Common Household Fungus Reduce Oil Imports? | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Could a Common Household Fungus Reduce Oil Imports? Could a Common Household Fungus Reduce Oil Imports? Could a Common Household Fungus Reduce Oil Imports? June 21, 2011 - 11:37am Addthis A view of Aspergillus niger with the fungus’ DNA highlighted in green | Photo Courtesy of: PNNL. A view of Aspergillus niger with the fungus' DNA highlighted in green | Photo Courtesy of: PNNL. Ben Squires Analyst, Office of Energy Efficiency & Renewable Energy What does this mean for me? The Department's Pacific Northwest National Laboratory (PNNL) are working to harness the natural process that spoils fruits and vegetables as a way to make fuel and other petroleum substitutes from the parts of plants that we can't eat. The genetic bases of the behaviors and abilities of these two industrially relevant fungal strains will allow researchers to exploit

362

Competition Helps Kids Learn About Energy and Save Their Households Some  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Competition Helps Kids Learn About Energy and Save Their Households Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm Addthis Students can register now to save energy and win prizes with the Home Energy Challenge. Students can register now to save energy and win prizes with the Home Energy Challenge. Eric Barendsen Energy Technology Program Specialist, Office of Energy Efficiency and Renewable Energy How can I participate? Visit HomeEnergyChallenge.org to register for the competition. Third through eighth grade students and teachers will be excited to hear about a competition starting up for next school year that challenges students to learn about energy, develop techniques for saving energy, and

363

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

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

0 Home Appliances Usage Indicators by Household Income, 2005" 0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.9,2.5,1.3,0.5,1,2.4,4.6 "2 Times A Day",24.6,6.5,7,4.3,3.2,3.6,4.8,10.3 "Once a Day",42.3,8.8,9.8,8.7,5.1,10,5,12.9

364

Could a Common Household Fungus Reduce Oil Imports? | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

a Common Household Fungus Reduce Oil Imports? a Common Household Fungus Reduce Oil Imports? Could a Common Household Fungus Reduce Oil Imports? June 21, 2011 - 11:37am Addthis A view of Aspergillus niger with the fungus’ DNA highlighted in green | Photo Courtesy of: PNNL. A view of Aspergillus niger with the fungus' DNA highlighted in green | Photo Courtesy of: PNNL. Ben Squires Analyst, Office of Energy Efficiency & Renewable Energy What does this mean for me? The Department's Pacific Northwest National Laboratory (PNNL) are working to harness the natural process that spoils fruits and vegetables as a way to make fuel and other petroleum substitutes from the parts of plants that we can't eat. The genetic bases of the behaviors and abilities of these two industrially relevant fungal strains will allow researchers to exploit

365

The causes of Japan's lost decade: The role of household consumption  

Science Journals Connector (OSTI)

In this paper, I analyze the causes of the prolonged slowdown of the Japanese economy in the 1990s and find that the stagnation of investment, especially private fixed investment, was the primary culprit. I then investigate the causes of the stagnation of household consumption during the 1990s and find that the stagnation of household disposable income, the decline in household wealth, and increased uncertainty about the future are among the contributing factors. Finally, I consider whether demand side factors or supply side factors were more important as causes of the prolonged slowdown of the Japanese economy in the 1990s and conclude that the former (especially misguided government policies) were probably more important.

Charles Yuji Horioka

2006-01-01T23:59:59.000Z

366

E-Print Network 3.0 - activity questionnaire comprehension-lessons...  

NLE Websites -- All DOE Office Websites (Extended Search)

(IVI); and the Activities of Daily Vision... . These include the Visual Function Index (VF-14); National Eye Institute Visual Function Questionnaire (NEI... OR visual...

367

Examining the Variation of Household Vehicles Holding Behavior in the Chukyo Region in Japan  

Science Journals Connector (OSTI)

Abstract Japan began initial stage of motorization in 1960s. The motorization made life of human highly dependent on private cars. As a result, vehicle holding behavior in the household might have a change during this process. This study examines the variation of the household vehicles owning behavior in the Chukyo region in Japan. The vehicle type is classified into the light motor car and the ordinary motor one. Meanwhile, the impact of the ownership of trucks is not taken into consideration. The person trip survey data in 1971 and 2001 are used as the sample. A bivariate ordered probit model is proposed for analyzing the ownership of two types of private cars. Since the maximal likelihood estimation method was found to be low efficient, the Gibbs sampler algorithm is implemented in this study. The conclusions of this study are listed as follows. Firstly, age of the householder, numbers of workers and number of members (>= 25 years old) were significant factors with same effects both in 1971 and 2001. Secondly, gender of the householder, district, population density and density of railway stations changed their effects from 1971 to 2001. The households with female householder were unwilling to own the light motor car only in 1971.The residents living in Nagoya would not like to own the ordinary motor car in 2001. Population density and density of railway stations affected ownership of the light motor car only in 2001. Lastly, there was a substitution effect on ownership between the light motor car and the ordinary motor one only in 2001.

Jia Yang; Mimi Tian; Tomio Miwa; Takayuki Morikawa

2014-01-01T23:59:59.000Z

368

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

369

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

E-Print Network (OSTI)

appropriate strategies of giving households' effective feedback on their energy consumption. This study, Energy efficiency. I. INTRODUCTION HE energy consumption of households in buildings attracts a lot in the housing sector. Energy consumption in buildings accounts for 39% of Sweden's total final energy

Beigl, Michael

370

Patterns of stove usage after introduction of an advanced cookstove: the long-term application of household sensors  

Science Journals Connector (OSTI)

Household air pollution generated from solid fuel use for cooking is one of the leading risk factors for ill-health globally. ... However, household usage of these stoves and resulting changes in usage of traditional polluting stoves is not well characterized. ...

Ajay Pillarisetti; Mayur Vaswani; Darby Jack; Kalpana Balakrishnan; Michael N. Bates; Narendra K. Arora; Kirk R. Smith

2014-11-12T23:59:59.000Z

371

Effects on minority and low-income households of the EPA proposal to reduce leaded gasoline use  

SciTech Connect

To reduce the potentially harmful environmental effects of lead in the environment, the US Environmental Protection Agency (EPA) has proposed a reduction in the amount of lead used in leaded gasoline. This report examines the potential impacts of such action on minority and low-income households in the US. The benefits of the EPA's proposal would presumably accrue primarily to households that contain small children and that are located in the central cities of metropolitan areas. This is because small children (under age seven) are particularly susceptible to the effects of lead and also because the automobile traffic density in central cities is higher than in any other area. Potential costs are examined in terms of households that own vehicles requiring leaded gasoline. Costs could accrue either because of higher gasoline prices due to reduced lead content or because of higher vehicle repair costs for engines that must use leaded gasoline to prevent excessive wear. Because of their location and number, minority and low-income households with small children would benefit more than the average US household. No costs would be incurred by the relatively large segment of minority and low-income households that own no vehicles. However, the Hispanic and other minority (except black) and low-income households that do own vehicles have a greater than average share of vehicles that require leaded gasoline; costs to these households because of the EPA's proposed action would be comparatively high.

Rose, K.; LaBelle, S.; Winter, R.; Klein, Y.

1985-04-01T23:59:59.000Z

372

The federal energy policy: An example of its potential impact on energy consumption and expenditures in minority and poor households  

SciTech Connect

This report presents an analysis of the relative impacts of the National Energy Strategy on majority and minority households and on nonpoor and poor households. (Minority households are defined as those headed by black or Hispanic persons; poor households are defined as those having combined household income less than or equal to 125% of the Office of Management and Budget`s poverty-income threshold.) Energy consumption and expenditures, and projected energy expenditures as a share of income, for the period 1987 to 2009 are reported. Projected consumptions of electricity and nonelectric energy over this period are also reported for each group. An analysis of how these projected values are affected under different housing growth scenarios is performed. The analysis in this report presents a preliminary set of projections generated under a set of simplifying assumptions. Future analysis will rigorously assess the sensitivity of the projected values to various changes in a number of these assumptions.

Poyer, D.A.

1991-09-01T23:59:59.000Z

373

Household Response To Dynamic Pricing Of Electricity: A Survey Of The  

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Focus Area: Crosscutting Topics: Market Analysis Website: www.hks.harvard.edu/hepg/Papers/2009/The%20Power%20of%20Experimentatio Equivalent URI: cleanenergysolutions.org/content/household-response-dynamic-pricing-el Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: "Mandates/Targets,Cost Recovery/Allocation,Enabling Legislation" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

374

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

E-Print Network (OSTI)

growth, China's energy consumption is rising at one of the fastest rates in the world, almost 8% per year over the period 2000-2010. Residential energy consumption has grown even faster than the national total . Although household energy consumption per capita is still low compared to the developed countries

375

Characterizing probability density distributions for household electricity load profiles from high-resolution electricity use data  

Science Journals Connector (OSTI)

Abstract This paper presents a high-resolution bottom-up model of electricity use in an average household based on fit to probability distributions of a comprehensive high-resolution household electricity use data set for detached houses in Sweden. The distributions used in this paper are the Weibull distribution and the Log-Normal distribution. These fitted distributions are analyzed in terms of relative variation estimates of electricity use and standard deviation. It is concluded that the distributions have a reasonable overall goodness of fit both in terms of electricity use and standard deviation. A KolmogorovSmirnov test of goodness of fit is also provided. In addition to this, the model is extended to multiple households via convolution of individual electricity use profiles. With the use of the central limit theorem this is analytically extended to the general case of a large number of households. Finally a brief comparison with other models of probability distributions is made along with a discussion regarding the model and its applicability.

Joakim Munkhammar; Jesper Rydn; Joakim Widn

2014-01-01T23:59:59.000Z

376

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

E-Print Network (OSTI)

Reforming Household Energy Markets: Some Welfare Effects in the United Kingdom by Catherine Waddams remain vulnerable. The implications of these findings for the future of energy markets both in the UK This paper summarises some early effects of deregulating the UK energy sector, focusing on the effects

Feigon, Brooke

377

Increased Levels of Markers of Microbial Exposure in Homes with Indoor Storage of Organic Household Waste  

Science Journals Connector (OSTI)

...Levels of Markers of Microbial Exposure in Homes with Indoor Storage of Organic Household...might increase microbial exposure in the home environment. In this study we evaluated...House dust samples were collected in 99 homes in The Netherlands selected on the basis...

Inge M. Wouters; Jeroen Douwes; Gert Doekes; Peter S. Thorne; Bert Brunekreef; Dick J. J. Heederik

2000-02-01T23:59:59.000Z

378

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

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

Years or More ... 13.6 1.8 17.1 907 1,044 4.6 Race of Householder White ... 73.3 1.9 21.7 1,099 1,267 1.8 Black...

379

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

Annual Energy Outlook 2012 (EIA)

... 30.7 Q 26.3 37.2 Q Q Q Q Q Q Q 20.7 Race of Householder White ... 26.0 23.2 25.2 32.6 19.3 16.4 13.3...

380

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

E-Print Network (OSTI)

Home ownership as wealth over the life cycle European Household Motivation for Residential Assets Current situation and future prospects INTRODUCTION Encouraging Home Ownership Most countries encourage a country's wealth and the proportion of home owners. 44 Homeownership rates in Western Europe (Source: EMF

Birmingham, University of

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Greenhouse Gas Emissions from the Consumption of Electric and Electronic Equipment by Norwegian Households  

Science Journals Connector (OSTI)

Greenhouse Gas Emissions from the Consumption of Electric and Electronic Equipment by Norwegian Households ... Conventional wisdom holds that large appliances, in particular washers, dryers, refrigerators and freezers, dominate residential energy consumption apart from heat, hot water and light. ... (16) It excludes lighting, all professional equipment, space heating, hot water, garden or car equipment, fire alarms, and air conditioning. ...

Edgar G. Hertwich; Charlotte Roux

2011-08-30T23:59:59.000Z

382

Using Circuit-Level Power Measurements in Household Energy Management Systems  

E-Print Network (OSTI)

Using Circuit-Level Power Measurements in Household Energy Management Systems Alan Marchiori and Qi to accurately measure en- ergy usage in the home. Measuring energy usage is not dif- ficult, however we must decide what to measure. Whole- home energy measurement is cheap and easy to setup be- cause only one

Han, Qi "Chee"

383

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

E-Print Network (OSTI)

as the primary source of domestic energy, has put preventive measures to reduce exposure to indoor air pollutionEnergy Policy 30 (2002) 815­826 Evaluating the health benefits of transitions in household energy for the Future, 1616 P Street NW, Washington, DC 20036, USA b Epidemiology and Burden of Disease Unit, Global

Kammen, Daniel M.

384

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

E-Print Network (OSTI)

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

Aickelin, Uwe

385

Stranded Vehicles: How Gasoline Taxes Change the Value of Households' Vehicle Assets  

E-Print Network (OSTI)

Stranded Vehicles: How Gasoline Taxes Change the Value of Households' Vehicle Assets Meghan Busse pollution caused by the burning of fossil fuels. Argu- ments against energy taxes, and gasoline taxes more incidence of the tax. We study the effect of a gasoline tax using changes in vehicle values. We construct

Rothman, Daniel

386

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

Energy.gov (U.S. Department of Energy (DOE))

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

387

Household use of paint and petroleum solvents and the risk of childhood leukemia  

Science Journals Connector (OSTI)

...African American, or non-Hispanic White according to their physician...Screening identified 1,253 Hispanic cases of whom 1,119 (89...random telephone numbers. A household enumeration was obtained for...controls, identified 1,668 Hispanics of whom 1,462 (88) completed...

Ghislaine Scelo; Catherine Metayer; Steve Selvin; Martyn Smith; Melinda Aldrich; Joseph Wiemels; Luoping Zhang; and Patricia Buffler

2008-05-01T23:59:59.000Z

388

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

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

3a. Housing Unit Characteristics by Household Income, 3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Census Region and Division Northeast ...................................... 20.3 3.3 4.2 4.9 7.8 2.6 6.8 6.4 New England .............................. 5.4 0.8 1.1 1.3 2.3 0.6 1.6 9.9 Middle Atlantic ............................ 14.8 2.6 3.2 3.5 5.6 2.0 5.2 7.7 Midwest ......................................... 24.5 3.7 5.2 6.8 8.9 2.8 7.4 5.8 East North Central ......................

389

Predicting Residential Air Exchange Rates from Questionnaires and Meteorology: Model Evaluation in Central North Carolina  

Science Journals Connector (OSTI)

The capability of the LBL, LBLX, and SF models could help reduce the AER uncertainty in air pollution exposure models used to develop exposure metrics for health studies. ... The parameters for the low-income homes were estimated using measurements from the Ohio Weatherization Program, which included residences with household incomes below 125% of the poverty guideline (14). ...

Michael S. Breen; Miyuki Breen; Ronald W. Williams; Bradley D. Schultz

2010-11-11T23:59:59.000Z

390

Academic Advisor Appeal Questionnaire To be submitted as part of Financial Aid Appeal Process  

E-Print Network (OSTI)

Academic Advisor Appeal Questionnaire To be submitted as part of Financial Aid Appeal Process: ________________________________________ THE FOLLOWING IS TO BE COMPLETED BY THE ACADEMIC ADVISOR PRIOR TO FINANCIAL AID APPEAL MEETING Advisor Name: __________________________________ Department: __________________________________ Advisor Telephone: ______________________________ Advisor E

391

Factor structure analysis of the Comprehensive Effects of Alcohol - Spanish questionnaire among adolescents in Mexico  

E-Print Network (OSTI)

on the psychometric properties of the Comprehensive Effects of Alcohol (CEOA) questionnaire with Spanish speaking populations. Using confirmatory factor analysis (CFA), the factor structure of the Spanish version of the CEOA was assessed in a set of scores obtained...

Flato, Claudia Graciela

2007-09-17T23:59:59.000Z

392

Stability and Internal Consistency of the Offer Self-Image Questionnaire: A Study of Finnish Adolescents  

Science Journals Connector (OSTI)

Reliability of the Offer Self-Image Questionnaire (OSIQ) was assessed with two measuresinternal consistency and stabilityin Finnish children aged 13. The OSIQ was administered to 268 normal 13-...

Eila Laukkanen; Pirjo Halonen; Heimo Viinamki

1999-02-01T23:59:59.000Z

393

A comparative evaluation of household preferences for solar photovoltaic standalone and mini-grid system: An empirical study in a costal village of Indian Sundarban  

Science Journals Connector (OSTI)

Solar PhotoVoltaic (SPV) based systems have been widely accepted technology for rural electrification in developing countries. The standalone SPV home lighting system has increasingly been popular among rural households, while SPV mini-grid supply system is being promoted for rural electrification schemes. This study uses data from household survey to explore the impact of household characteristics on the preference for electrical energy from SPV systems. Econometric evidence shows heterogeneity in behavioural pattern for these two SPV systems. The flexibility in use and cost of systems might explain this difference. Household characteristics such as monthly household income, household size, occupational status of household head, number of room and type of house significantly influence households decision for SPV standalone home lighting systems. For SPV mini-grid supply households income and monthly expenditure on kerosene are significant predictors. The result reported in this paper might be a valuable input for policy makers to frame right policy mix with regard to provide subsidy on rural electrification programmes.

Amit K. Bhandari; Chinmoy Jana

2010-01-01T23:59:59.000Z

394

Space-Heating energy used by households in the residential sector.  

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

Detailed Tables Detailed Tables Energy End Uses Ranked by Energy Consumption, 1989 The following 28 tables present detailed data describing the consumption of and expenditures for energy used by households in the residential sector. The data are presented at the national level, Census region and division levels, for climate zones and for the most populous States, as well as for other selected characteristics of households. This section provides assistance in reading the tables by explaining some of the headings for the categories of data. It also explains the use of the row and column factors to compute the relative standard error of the estimates given in the tables. Organization of the Tables The tables cover consumption and expenditures for six topical areas: Major Energy Source

395

Household electricity consumption and CO2 emissions in the Netherlands: A model-based analysis  

Science Journals Connector (OSTI)

Abstract Twenty percent of the total energy consumption in the Netherlands comes from household electricity consumption. This comes from household electric appliances whose number has grown in recent years. The paper explores the effect of smart meter introduction, appliance efficiency and consumer behaviour on reducing electricity consumption in the Netherlands. It does so by combining two perspectives: a sociotechnical approach and a bottom up simulation approach. The range of scenarios explored through simulation in the paper provides an understanding of the interplay between efficiency, smart meter diffusion and consumer behaviour. The results show their effect on electricity consumption and suggest that further effort is required to control and reduce it. Insights from the paper suggest that future studies should disaggregate with respect to a number of factors.

George Papachristos

2015-01-01T23:59:59.000Z

396

A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan  

Science Journals Connector (OSTI)

In this paper, we appraise sustainable household consumption from a global perspective. Using per capita energy requirements as an indicator of environmental pressure, we focus on the importance of income growth in a cross-country analysis. Our analysis is supported by a detailed within-country analysis encompassing five countries, in which we assess the importance of various socioeconomic-demographic characteristics of household energy requirements. We bring together family expenditure survey data, inputoutput tables, and energy statistics in a multivariate analysis. Instead of a uniform Kuznet's curve, we find that the effect of increasing income varies considerably across countries, even when controlling for socioeconomic and demographic variations. The latter variables show similar influences, but differing importance across countries.

Manfred Lenzen; Mette Wier; Claude Cohen; Hitoshi Hayami; Shonali Pachauri; Roberto Schaeffer

2006-01-01T23:59:59.000Z

397

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

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

3 Household Characteristics by Household Income, 2005" 3 Household Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Household Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Household Size" "1 Person",30,13.5,8.5,4.3,2,1.8,5.9,13.1 "2 Persons",34.8,6,8.8,7.3,4.4,8.4,3.5,8.4 "3 Persons",18.4,3.1,4.7,3.4,2.5,4.6,2,5.8 "4 Persons",15.9,2.2,3.5,3.3,2.7,4.3,2.2,5.1

398

Extending Efficiency Services to Underserved Households: NYSERDAs Assisted Home Performance with ENERGY STAR Program  

NLE Websites -- All DOE Office Websites (Extended Search)

N April 4, 2012 Extending Efficiency Services to Underserved Households: NYSERDA's Assisted Home Performance with ENERGY STAR Program Since 2001, New York residents have completed over 39,000 energy upgrades through NYSERDA's Home Performance with ENERGY STAR (HPwES) initiative. Approximately one third of these projects have been completed through the Assisted HPwES track, which offers large incentives to middle income

399

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

E-Print Network (OSTI)

. This publication covers the following topics: 1. Septic tanks/soil absorption systems 2. Quantity of wastewater 3. Quality of wastewater 4. Collection of wastewater 5. Treatment systems 6. Disposal system 7. Assistance with failing systems or new designs 8.... Evaluation table Septic Tanks/Soil Absorption Systems The most common form of on-site waste- water treatment is a septic tank/soil absorption system. In this system, wastewater flows from the household sewage lines into an under- ground septic tank...

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

1997-08-29T23:59:59.000Z

400

Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour  

Science Journals Connector (OSTI)

Abstract Household energy conservation has emerged as a major challenge and opportunity for researchers, practitioners and policymakers. Consumers also seem to be gaining greater awareness of the value and need for sustainable energy practices, particularly amid growing public concerns over greenhouse gas emissions and climate change. Yet even with adequate knowledge of how to save energy and a professed desire to do so, many consumers still fail to take noticeable steps towards energy efficiency and conservation. There is often a sizeable discrepancy between peoples self-reported knowledge, values, attitudes and intentions, and their observable behaviourexamples include the well-known knowledge-action gap and value-action gap. But neither is household energy consumption driven primarily by financial incentives and the rational pursuit of material interests. In fact, people sometimes respond in unexpected and undesirable ways to rewards and sanctions intended to shift consumers costbenefit calculus in favour of sustainable behaviours. Why is this so? Why is household energy consumption and conservation difficult to predict from either core values or material interests? By drawing on critical insights from behavioural economics and psychology, we illuminate the key cognitive biases and motivational factors that may explain why energy-related behaviour so often fails to align with either the personal values or material interests of consumers. Understanding these psychological phenomena can make household and community responses to public policy interventions less surprising, and in parallel, can help us design more cost-effective and mass-scalable behavioural solutions to encourage renewable and sustainable energy use among consumers.

Elisha R. Frederiks; Karen Stenner; Elizabeth V. Hobman

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

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

E-Print Network (OSTI)

refers to these latent goods as transformed goods or T-goods. Leading researchers have explored this technique of incorporating characteristics. In this study, we revisit this technique by trying to uncover the basic wants behind the demand for gas..., distillate fuel oil, and the liquefied petroleum gases (LPG) by US households. To give some examples, electricity may be used for many basic wants such as lighting, cooking, and cooling. Similarly, without being exhaustive, gas may be used for heating...

Diallo, Ibrahima

2013-05-31T23:59:59.000Z

402

Space Heating Scenarios for Ontario: a Demonstration of the Statistics Canada Household Model  

Science Journals Connector (OSTI)

ABSTRACT This paper describes the analytical and simulation capabilities of the currently implemented version of the household model developed by the Structural Analysis Division, Statistics Canada. The household model, as described in A Design Framework for Long Term Energy Economic Analysis of Dwelling Related Demand [1], is a simulation framework and related data base of the Canadian housing stocks, residential construction, and end-use energy consumption in the residential sector. The purpose of the model is to provide an analytical tool for evaluating a variety of residential energy conservation strategies including insulation retrofitting and the introduction of new building standards, the possibilities for fuel substitution afforded by equipment retrofitting, and the impact of new technologies for space conditioning with respect to impacts on residential energy requirements and construction materials over time. The simulation results for Ontario that are presented in the paper are for demonstration purposes only and do not constitute a forecast. The choice of Ontario was arbitrary; similar calculations can be performed for other provinces, for Canada as a whole, and for selected subprovincial regions. At the time of preparation of this paper, the population and household formation block at the national level, the housing stock block, and the space heating part of the space conditioning block are implemented. Therefore simulation results are limited to these areas.

R.H.H. Moll; K.H. Dickinson

1982-01-01T23:59:59.000Z

403

Inefficient subsidy in Nigerian oil sector; implications for revenue generation and household welfare in Nigeria  

Science Journals Connector (OSTI)

Subsidy exists when consumers are assisted by the government to pay less than the prevailing market price of a given commodity. In respect of fuel subsidy, it means that consumers would pay below the market price per litre of petroleum product. This paper is aim at analysing the effects of the increase in energy prices on the social welfare of Nigerian households and comparing the consequences with the condition in which in concurrence with increase in energy prices, the government undertakes transfer payments to Nigerian households in order to protect their social welfare status. An analytical reasoning model was adopted and within the framework of this model the effects of increase in energy price on social welfare is discussed. Decrease in energy subsidies and a shift towards market prices will result in a lower budget deficit for the government and powerfully harness one of the main causes of inflation. However, if the elimination of subsidies be accompanied by transfer payments to households, the result is increase in the government budget deficit which in its turn will enhance inflation thus very negatively affecting social welfare.

Benjamin Anabori Mmadu; David Chuks Akan

2013-01-01T23:59:59.000Z

404

An economic assessment of the impact of two crude oil price scenarios on households  

SciTech Connect

The impact of two possible future crude oil price scenarios -- high and low price cases -- is assessed for three population groups: majority (non-Hispanic and nonblack), black, and Hispanic. The two price scenarios were taken from the energy security'' report published by the US Department of Energy in 1987. Effects of the two crude oil price scenarios for the 1986--95 period are measured for energy demand and composition and for share of income spent on energy by the three population groups at both the national and census-region levels. The effects on blacks are marginally more adverse than on majority householders, while effects on Hispanics are about the same as those on the majority. Little change is seen in percentage of income spent on energy over the forecast period. Both Hispanic and black households would spend a larger share of their incomes on energy than would majority households. The relatively adverse effects in the higher price scenario shift from the South and West Census regions to the Northeast and Midwest. 24 refs., 7 figs., 22 tabs.

Poyer, D.A.; Teotia, A.P.S.; Hemphill, R.C.; Hill, L.G.; Marinelli, J.L.; Rose, K.J.; Santini, D.J.

1990-02-01T23:59:59.000Z

405

An evaluation on the environmental consequences of residual CFCs from obsolete household refrigerators in China  

SciTech Connect

Chlorofluorocarbons (CFCs) contained in household refrigerators consist mainly of CFC-11 and CFC-12, which will be eventually released into the environment. Consequentially, environmental releases of these refrigerants will lead to ozone depletion and contribute significantly to the greenhouse effect, if waste refrigerators are not disposed of properly. In the present paper, the potential release of residual CFCs and their substitutes from obsolete household refrigerators in China is examined, and their contributions to ozone depletion and greenhouse effect are compared with those of other recognized ozone-depleting substances (ODS) and greenhouse gases (GHGs). The results imply that annual potential amounts of released residual CFC-11 and CFC-12 will reach their maximums at 4600 and 2300 tons, respectively in 2011, and then decrease gradually to zero until 2020. Meanwhile, the amounts of their most widely used substitutes HCFC-141b and HFC-134a will keep increasing. Subsequently, the contribution ratio of these CFCs and their substitutes to ozone depletion will remain at 25% through 2011, and reach its peak value of 34% by 2018. The contribution to greenhouse effect will reach its peak value of 0.57% by 2010. Moreover, the contribution ratio of these CFCs to the total global release of CFCs will steadily increase, reaching its peak of 15% by 2018. Thus, this period from 2010 to 2018 is a crucial time during which residual CFCs and their substitutes from obsolete household refrigerators in China will contribute significantly to ozone depletion.

Zhao Xiangyang; Duan Huabo [Department of Environmental Science and Engineering, Tsinghua University, Beijing (China); Li Jinhui, E-mail: jinhui@tsinghua.edu.cn [Department of Environmental Science and Engineering, Tsinghua University, Beijing (China)

2011-03-15T23:59:59.000Z

406

An Analysis of the Price Elasticity of Demand for Household Appliances  

NLE Websites -- All DOE Office Websites (Extended Search)

the Price Elasticity of Demand for Household Appliances the Price Elasticity of Demand for Household Appliances Title An Analysis of the Price Elasticity of Demand for Household Appliances Publication Type Report LBNL Report Number LBNL-326E Year of Publication 2008 Authors Dale, Larry L., and Sydny K. Fujita Document Number LBNL-326E Pagination 19 Date Published 02/2008 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract This article summarizes our study of the price elasticity of demand1 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 chose to study this particular set of appliances because data for the elasticity calculation was more readily available for refrigerators, clothes washers, and dishwashers than for other appliances. We begin with a review of the 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 it over the past 20 years. We conclude with summary and interpretation of the results of our regression analysis and present estimates of the price elasticity of demand for the three appliances.

407

The Impact of the Earned Income Tax Credit on Economic Well-Being: A Comparison Across Household Types  

Science Journals Connector (OSTI)

Using survey data from Earned Income Tax Credit (EITC) recipients in Madison County, New ... of the EITC across household types. For tax years 2002 through 2004, we find that ... of EITC amounts, poverty rates, u...

Nicole B. Simpson; Jill Tiefenthaler; Jameson Hyde

2010-12-01T23:59:59.000Z

408

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

E-Print Network (OSTI)

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 ...

Baffrey, Robert Michael Nuval, 1977-

2005-01-01T23:59:59.000Z

409

Risk factors of functional disability among community-dwelling elderly people by household in Japan: a prospective cohort study  

Science Journals Connector (OSTI)

Although the number of elderly people needing care is increasing rapidly in the home setting in Japan, family size and ability to provide such ... identify the risk factors of functional disability by household c...

Emiko Saito; Shouzoh Ueki; Nobufumi Yasuda; Sachiko Yamazaki

2014-08-01T23:59:59.000Z

410

Water Flows in the Spanish Economy: Agri-Food Sectors, Trade and Households Diets in an Input-Output Framework  

Science Journals Connector (OSTI)

Water Flows in the Spanish Economy: Agri-Food Sectors, Trade and Households Diets in an Input-Output Framework ... So although we use the information from a SAM, since we leave as exogenous accounts the household consumption and foreign trade; it is not a traditional SAM analysis, but more an extended input-output analysis. ... The countries concerned are France, Germany, Portugal, Italy, UK, Netherlands, U.S., Belgium, China, and Japan. ...

Ignacio Cazcarro; Rosa Duarte; Julio Snchez-Chliz

2012-05-21T23:59:59.000Z

411

Attachment 6, Certification of Intent to Comply with DOE NEPA Requirements/Complete Environmental Questionnaire  

NLE Websites -- All DOE Office Websites (Extended Search)

6 6 CERTIFICATION OF INTENT TO COMPLY WITH DOE NEPA REQUIREMENTS/COMPLETE ENVIRONMENTAL QUESTIONNAIRE The Applicant, , if (name of institution) selected for award under Program Solicitation DE-PS26-02NT41430, "Support of Advanced Fossil Resource Utilization Research by Historically Black Colleges and Universities and Other Minority Institutions," agrees that, it will complete the Environmental Questionnaire within thirty (30) days of request, and provide any other environmental-related data as requested by DOE to satisfy NEPA requirements. (Signature of Authorized Official)

412

Acculturation in Hispanics and childhood poisoning: Are medicines and household cleaners stored properly?  

Science Journals Connector (OSTI)

Background Unintentional poisonings are a major public health issue in the United States (US). With the increasing number of Hispanics in the US, childhood poisoning is a salient public health issue to address within this population. There is a paucity of research examining the relationship between acculturation in Hispanics and the safe storage of medicines and cleaners. The purpose of the study was to determine if demographic variables, such as acculturation in Hispanics, age, gender and education, were predictive of incorrectly storing medicines and household cleaners. Methods We conducted a study among parents/guardians of small children at two pediatric primary care clinics in the Dallas/Fort Worth (DFW) Metropolitan area. We enrolled 201 parents to identify where they stored medicines and household cleaners, and measured acculturation with the Short Acculturation Scale for Hispanics. Results Of Hispanic participants, 49% were categorized as less acculturated (n=99) while 21% were more acculturated (n=42). Less acculturated participants were over 4 times more likely to store medicines incorrectly, and participants with a high school education or less were over 3 times more likely to improperly store cleaners. With each additional child in the household, the risk for improper storage of cleaners increased by 44%. Conclusion The fact that children of less acculturated families are at greater risk for poisoning and have lower levels of education demonstrates the need for readable educational materials on this salient topic. Because social networks are integral in Hispanic culture, especially among new immigrants, poison prevention messages should be disseminated by interpersonal communications.

Katie L. Crosslin; Ray Tsai; Claudia V. Romo; Adela Tsai

2011-01-01T23:59:59.000Z

413

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

SciTech Connect

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.

Not Available

1991-10-01T23:59:59.000Z

414

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

SciTech Connect

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.

Not Available

1991-10-01T23:59:59.000Z

415

REC Solar | Open Energy Information  

Open Energy Info (EERE)

67 Commercial Street 67 Commercial Street Place Sunnyvale, California Zip 94086 Sector Solar Product Solar installer Website http://www.recsolar.com/cm/Hom Coordinates 37.3754586°, -122.0085828° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.3754586,"lon":-122.0085828,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

416

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

SciTech Connect

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.

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

2013-11-15T23:59:59.000Z

417

Halogenated Volatile Organic Compounds from the Use of Chlorine-Bleach-Containing Household Products  

Science Journals Connector (OSTI)

A number of household cleaning products (bleaches, mildew stain removers, toilet cleaners, cleaning sprays, gels, and scouring powders) contain sodium hypochlorite (NaOCl, ?5%). ... Each tube was packed at the upstream (sampling) end with 3 mm silanized glass-wool followed by a series of sections of 150 mg Tenax TA (60/80 mesh) (Supelco, Bellefonte, PA, USA), 3 mm silanized glass-wool, 100 mg Carboxen 1000 (Supelco, Bellefonte, PA), and finally, 3 mm silanized glass-wool at the downstream end. ...

Mustafa Odabasi

2008-02-01T23:59:59.000Z

418

Determinants of households inflation expectations in Japan and the United States  

Science Journals Connector (OSTI)

Using a VAR model that includes survey data on households inflation expectations for Japan and the US, we investigate their determinants and influences on the economy and compare their properties in two countries. Short-term non-recursive restrictions are imposed taking account of simultaneous co-dependence between realized and expected inflation. We find that responding to changes in exogenous prices and to monetary policy shocks, inflation expectations adjust more quickly than does realized inflation. Compared with Japan, the effects of exogenous prices on inflation and inflation expectations in the US are not only large but also long lasting and shocks to expectations have self-fulfilling effects on inflation.

Kozo Ueda

2010-01-01T23:59:59.000Z

419

On the consumption insurance effects of long-term care insurance in Japan: Evidence from micro-level household data  

Science Journals Connector (OSTI)

Using micro-level household data in the 2001 Comprehensive Survey of the Living Conditions of the People on Health and Welfare compiled by the Japanese Ministry of Health, Labor and Welfare, this paper examines how having a household member in need of long-term nursing care can result in welfare losses measured in terms of consumption. In so doing, this study evaluates the role of the public long-term care insurance scheme implemented in Japan in April 2000. The results indicate that when households include a disabled family member, household consumption net of long-term care costs do not decrease as much as before the introduction of long-term care insurance. Further, when compared with the surveys conducted in 1998, the adverse effects on consumption net of long-term care costs have become much weaker. These findings suggest that the introduction of social insurance in 2000 helped Japanese households to reduce the welfare losses associated with a disabled family member.

Yasushi Iwamoto; Miki Kohara; Makoto Saito

2010-01-01T23:59:59.000Z

420

A Juxtaposition of rational choice and socio-cultural approaches to explain changes in family size throughout the process of economic development using household survey data from Brazil.  

E-Print Network (OSTI)

??This research juxtaposes empirical approaches to analyze the relationship between fertility and economic development. Using household survey data from Brazil in the mid 1990s, separate (more)

Delfino, Daniel

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Role of household factors in parental attitudes to pandemic influenza-related school closure in Japan: a cross-sectional study  

Science Journals Connector (OSTI)

Subjects comprised households of schoolchildren attending six schools (one kindergarten ... ) all attached to Shinshu University, Nagano, Japan. Because these six schools had been investigated...11, 12...], this ...

Mitsuo Uchida; Minoru Kaneko; Shigeyuki Kawa

2014-10-01T23:59:59.000Z

422

Hutton Honors College Extracurricular Programs Questionnaire for 2011-2012 HHC Extracurricular Programming Volunteers  

E-Print Network (OSTI)

Hutton Honors College Extracurricular Programs Questionnaire for 2011-2012 HHC Extracurricular topics/issues Politics/law Environment/sustainability Ethics Business Economics issues (e.g., nat Charlene Brown Extracurricular Programs Hutton Honors College 811 E. Seventh Street Room 208 IU Bloomington

Indiana University

423

Cloud Service Security Requirements Questionnaire 1. What Cloud service will you be providing  

E-Print Network (OSTI)

Cloud Service Security Requirements Questionnaire Exhibit G 1. What Cloud service will you) as Low/Moderate/High? If so, which? 4. Has your cloud service been audited by any eternal agencies for security and quality control? If so, please provide evidence. 5. Has your cloud service been industry

424

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

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

HC6.9 Home Appliances Characteristics by Number of Household Members, 2005 HC6.9 Home Appliances Characteristics by Number of Household Members, 2005 Total U.S.............................................................. 111.1 30.0 34.8 18.4 15.9 12.0 Cooking Appliances Conventional Ovens Use an Oven.................................................. 109.6 29.5 34.4 18.2 15.7 11.8 1................................................................. 103.3 28.4 32.0 17.3 14.7 11.0 2 or More.................................................... 6.2 1.1 2.5 1.0 0.9 0.8 Do Not Use an Oven...................................... 1.5 0.6 0.4 Q Q Q Most-Used Oven Fuel Electric....................................................... 67.9 18.2 22.5 11.2 9.5 6.5 Natural Gas................................................ 36.4 9.9 10.0 6.1 5.6 4.7 Propane/LPG.............................................

425

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

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

4 Space Heating Characteristics by Number of Household Members, 2005 4 Space Heating Characteristics by Number of Household Members, 2005 Total..................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Space Heating Equipment............ 1.2 0.3 0.3 Q 0.2 0.2 Have Main Space Heating Equipment............... 109.8 29.7 34.5 18.2 15.6 11.8 Use Main Space Heating Equipment................. 109.1 29.5 34.4 18.1 15.5 11.6 Have Equipment But Do Not Use It................... 0.8 Q Q Q Q Q Main Heating Fuel and Equipment Natural Gas....................................................... 58.2 15.6 18.0 9.5 8.4 6.7 Central Warm-Air Furnace............................. 44.7 10.7 14.3 7.6 6.9 5.2 For One Housing Unit................................ 42.9 10.1 13.8 7.3 6.5 5.2 For Two Housing Units...............................

426

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

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

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total........................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Cooling Equipment.......................... 17.8 5.4 5.3 2.7 2.5 2.0 Have Cooling Equipment...................................... 93.3 24.6 29.6 15.7 13.4 10.0 Use Cooling Equipment....................................... 91.4 24.0 29.1 15.5 13.2 9.7 Have Equipment But Do Not Use it...................... 1.9 0.6 0.5 Q 0.2 0.4 Type of Air-Conditioning Equipment 1, 2 Central System................................................... 65.9 15.3 22.6 10.7 9.9 7.3 Without a Heat Pump....................................... 53.5 12.5 17.9 8.7 8.2 6.3 With a Heat Pump............................................ 12.3

427

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

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

5 Space Heating Usage Indicators by Number of Household Members, 2005 5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005 Heated Floorspace (Square Feet) None............................................................ 3.6 1.0 0.8 0.5 0.5 0.7 1 to 499........................................................ 6.1 3.0 1.6 0.6 0.6 0.3 500 to 999.................................................... 27.7 11.6 8.3 3.6 2.7 1.6 1,000 to 1,499..............................................

428

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

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

2 Home Electronics Usage Indicators by Number of Household Members, 2005 2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total................................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer............................. 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer.......................................... 75.6 13.8 25.4 14.4 13.2 8.8 Most-Used Personal Computer Type of PC Desk-top Model..................................................... 58.6 10.0 20.0 11.2 10.1 7.3 Laptop Model........................................................ 16.9 3.7 5.4 3.2 3.1 1.5 Hours Turned on Per Week Less than 2 Hours................................................. 13.6 4.0 4.7 1.7 1.8 1.4 2 to 15 Hours........................................................

429

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

SciTech Connect

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.

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

430

The stem family and labour markets: Reflections on households and firms in Japan's economic development  

Science Journals Connector (OSTI)

This paper examines a view that the traditional stem family system was one of the preconditions for Japan's modern economic development, focusing on labour markets and skill formation practices. The paper begins with a brief look at the Japanese stem family household formation rules. Then, exploration is made, first, on the self-employed, the largest sector of the early modern economy; second, the merchant house and its employment patterns as an origin of present day large corporations' employment system and skill formation and human capital management practices; and third, workshop industries, which formed middle and lower layers of the manufacturing sector in the period of industrialisation. Finally, women's marriage behaviour is examined in relation to labour markets, especially changes in real wages. All this is an attempt to go some way towards a better understanding of the ways in which the family economy and corporate firms worked in economic development, rather than to suggest an alternative hypothesis on the relationship between family and household factors and subsequent economic development.

Osamu Saito

2011-01-01T23:59:59.000Z

431

Rural household energy consumption and its implications for eco-environments in NW China: A case study  

Science Journals Connector (OSTI)

Abstract Rural household energy consumption plays an essential role in the daily life of farmers, especially in developing regions. In this paper, we present a study of household energy consumption in terms of energy sources and energy end uses, and analysis of technical and economic issues associated with the use of biomass and renewable energy and the replacement of fossil fuels. Results show that energy from biomass represents the largest share of total energy supply, and that 41.15% of total energy is consumed for home heating and cooking. The average cost of household energy is 1259 RMB ($US193.6) and this expense is no longer subsidized by the government. It takes less than one year to make a solar stove profitable and less than two years to pay back the household cost of biogas digesters. An 8m3 digester can produce as much energy as 500550kg of standard coal or 940kg of firewood, while a solar stove can generate 1.76נ103MJ heat each year. Moreover, it is estimated that in rural China the annual reduction of CO2 and SO2 emissions in 2020, due to the replacement of fossil fuel by biomass, will be 68.86נ106 and 54.37נ104 tons, respectively. Overall, the investigations and analyses have revealed that the structure of rural household energy consumption is undergoing a transformation from traditional low-efficiency biomass domination to integrated consumption of traditional and renewable energies. Renewable energy will significantly contribute to the sustainable development of rural households.

Hewen Niu; Yuanqing He; Umberto Desideri; Peidong Zhang; Hongyi Qin; Shijin Wang

2014-01-01T23:59:59.000Z

432

Residential energy consumption across different population groups : comparative analysis for latino and non-latino households in USA.  

SciTech Connect

Residential energy cost is an important part of the household budget and could vary significantly across different population groups in many countries. In the United States, many studies have analyzed household fuel consumption by fuel type, including electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG), and by geographic areas. Past research has also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, our research shows that residential energy demand by fuel type for Latinos, the fastest growing population group, has not been explained by economic and non-economic factors in any statistical model in public domain. The purpose of this paper was to discuss energy demand and expenditure patterns for Latino and non-Latino households in the United States as a case example of analyzing residential energy consumption across different population groups in a country. The linear expenditure system model developed by Stone and Geary is the basis of the statistical model developed to explain fuel consumption and expenditures for Latino households. For comparison, the models are also developed for non-Latino, black, and non-black households. These models estimate energy consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. Significant variations in the patterns of these fuels consumption for Latinos and non-Latinos are highlighted. The model methodology and results of this research should be useful to energy policymakers in government and industry, researches, and academicians who are concerned with economic and energy issues related to various population groups in their country.

Poyer, D. A.; Henderson, L.; Teotia, A. P. S.; Energy Systems; Univ. of Baltimore

1997-01-01T23:59:59.000Z

433

Electricity Production from Anaerobic Digestion of Household Organic Waste in Ontario: Techno-Economic and GHG Emission Analyses  

Science Journals Connector (OSTI)

Electricity Production from Anaerobic Digestion of Household Organic Waste in Ontario: Techno-Economic and GHG Emission Analyses ... The life cycle greenhouse gas (GHG) emissions and economics of electricity generation through anaerobic digestion (AD) of household source-separated organic waste (HSSOW) are investigated within the FiT program. ... AD can potentially provide considerable GHG emission reductions (up to 1 t CO2eq/t HSSOW) at relatively low to moderate cost (-$35 to 160/t CO2eq) by displacing fossil electricity and preventing the emission of landfill gas. ...

David Sanscartier; Heather L. MacLean; Bradley Saville

2011-12-14T23:59:59.000Z

434

Marriage relationships among households in the mid 19th century Tama, Japan: Socioeconomic homogamy, geographical endogamy and kinship networks  

Science Journals Connector (OSTI)

This paper studies the formation of marriage relationships between households in 19th century, Tama, Japan. Previous studies on marriage market or partner selection in the Japanese past tended to rely either on information from a single village in case of statistical analysis, or on collection of oral histories. By using the information from a household register that covers 35 villages, and applying a method of social network analysis, this paper goes beyond the limitation of previous studies. Our empirical results show that there was a tendency for socioeconomic homogamy and endogamy (within kinship and within village) among peasants in the mid 19th century Tama, Japan.

Nobuyuki Hanaki; Satomi Kurosu

2010-01-01T23:59:59.000Z

435

Who is eating seafood? On an annual basis, results from the survey screener showed that 65% of U.S. households purchased  

E-Print Network (OSTI)

Who is eating seafood? On an annual basis, results from the survey screener showed that 65% of U.S. households purchased seafood for at-home consumption at least once in the previous year while 83% of households purchased seafood in a restaurant during the same period. As shown in Figures 1a-c, retail seafood

436

An Analysis of the Price Elasticity of Demand for Household Appliances  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis of the Price Elasticity of Demand for Analysis of the Price Elasticity of Demand for Household Appliances Larry Dale and K. Sydny Fujita February 2008 Energy Analysis Department Environmental Energy Technologies Division Lawrence Berkeley National Laboratory University of California Berkeley, CA 94720 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

437

EREV and BEV Economic Viability vs. Household Retail Electric Pricing Strategies: Two Charges a Day?  

NLE Websites -- All DOE Office Websites (Extended Search)

EREV and BEV Economic Viability vs. EREV and BEV Economic Viability vs. Household Retail Electric Pricing Strategies: Two Charges a Day? By Dan Santini Argonne National Laboratory dsantini@anl.gov Remarks are attributable only to the author; not to Argonne or U.S. Department of Energy NAATBatt Conference: The Impact of PEVs on T&D Systems: Challenges and Solutions Dec. 7, 2010 The submitted manuscript has been created by Argonne National Laboratory, a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC, under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up, nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly,

438

Mineral fiber content of lung tissue in patients with environmental exposures: household contacts vs building occupants  

SciTech Connect

Analysis of tissue mineral fiber content in patients with environmental exposures has seldom been reported in the past. Our studies of six household contacts of asbestos workers indicate that these individuals often have pulmonary asbestos concentrations similar to some occupationally exposed individuals. In contrast, our studies of four occupants of buildings with asbestos-containing materials indicate that these individuals often have pulmonary asbestos burdens indistinguishable from the general nonoccupationally exposed population. However, one such building occupant exposed for many years and who later developed pleural mesothelioma was studied in detail, and it was concluded that her exposure as a teacher's aide in a school building containing acoustical plaster was the likely cause of her mesothelioma.

Roggli, V.L.; Longo, W.E. (Department of Pathology, Durham Veterans Administration, NC (United States))

1991-12-31T23:59:59.000Z

439

Energy efficiency in Norwegian households - identifying motivators and barriers with a focus group approach  

Science Journals Connector (OSTI)

This paper describes the theoretical background and results of a focus group study on determinants of energy related behaviour in Norwegian households. 70 Norwegians between 18 and 79 years of age participated in eight focus-groups in four Norwegian cities. The aim of the study was to identify behaviours that Norwegians consider relevant with respect to energy use, the main determinants of those behaviours, as well as barriers against and facilitators of energy efficiency. The most important behaviours from the participants' perspectives were heating, water heating, use of white ware and mobility. The main motivators named were minimising behavioural costs, value orientations, perceived consumer efficacy and social norms. The most important barriers were structural misfits, economic, effort, time consumption, low consumer efficacy and lack of relevant and trustworthy information. The most potent facilitators were economic incentives, gains in comfort, reduced effort, tailored practical information, individual feedback and legislative actions.

Christian A. Klöckner; Bertha M. Sopha; Ellen Matthies; Even Bjørnstad

2013-01-01T23:59:59.000Z

440

Understanding household energy consumption patterns: When West Is Best in Metro Manila  

Science Journals Connector (OSTI)

This paper addresses the topic of energy and development through a multi-disciplinary and systemic approach that combines environmental considerations with a social understanding of consumption. The focus is on electricity usage in the home and specifically lighting and cooling. Set in the urban mega-polis of Metro Manila, the Philippines, energy consumption is first placed in its biophysical perspective: the energy sources and electricity grid are presented, in relation to the Philippines as well as the region. The research findings then explore the social and cultural drivers behind household electricity consumption, revealing in several examples the strong influence of globalizationunderstood here as the flow of people, remittances, images and ideas. Policy recommendations are provided, based on the research results, with concluding remarks relevant to other similar contexts.

Marlyne D. Sahakian

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Green Computing Wanted: Electricity Consumptions in the IT Industry and by Household Computers in Five Major Chinese Cities  

Science Journals Connector (OSTI)

Exhausted energy consumption becomes a world-wide issue nowadays. Computing contributes a large portion of energy consumption. The concept of green computing has been popularized. Along with the rapid development of China, energy issue becomes more and ... Keywords: energy/electricity consumption, IT industry, household computers, energy efficiency, green computing

Luyang Wang; Tao Wang

2011-08-01T23:59:59.000Z

442

Fecal Indicators and Zoonotic Pathogens in Household Drinking Water Taps Fed from Rainwater Tanks in Southeast Queensland, Australia  

Science Journals Connector (OSTI)

...overhanging trees (H10 and H12) or evidence of wildlife fecal droppings (H6 and H15) on the...households where there was evidence of wildlife fecal droppings. All three CHTW samples...CA , PJ Coombes and RH Dunstan. 2006. Wind, rain and bacteria: the effect of weather...

W. Ahmed; L. Hodgers; J. P. S. Sidhu; S. Toze

2011-10-21T23:59:59.000Z

443

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

E-Print Network (OSTI)

at 215 million Btu. The rate of consumption generally increased until the oil price shocks of the midChanging Trends: A Brief History of the US Household Consumption of Energy, Water, Food, Beverages understand energy conservation policies, we take a brief look at the history in the US of consumption

444

The influence of energy audits on the energy efficiency investments of private owner-occupied households in the Netherlands  

Science Journals Connector (OSTI)

Abstract Energy audits are promoted as an effective tool to drive investment in energy efficiency measures in the residential sector. Despite operating in many countries for several decades details of the impact of audits are mixed. The aim of research presented here is to explore the role of audits on investment in energy efficiency measures by private owner-occupied householders in the Netherlands. Results showed that the main influence of the energy audit was to confirm information held by householders. A significant portion of audit recommendations was ignored, the main reason being that householders considered their dwellings to be adequately energy efficient. A comparison of audit recipients to non-recipients showed that audit recipients did not adopt, plan to adopt or invest in more energy efficiency measures than non-recipients. In fact non-recipients adopted more and invested more in measures. It is concluded that energy based renovation is driven by householder perception of comfort and acceptable outlay on energy bills and not necessarily to expert technical tailored information on the potential to reduce CO2 emissions and environmental impact. Results support arguments for minimum energy efficiency standards and performance based incentives.

Lorraine Murphy

2014-01-01T23:59:59.000Z

445

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

446

An Examination of Household Environmental Influences on Healthy Eating Behaviors among African American Primary Caregivers and Children  

E-Print Network (OSTI)

1 AN EXAMINATION OF HOUSEHOLD ENVIRONMENTAL INFLUENCES ON HEALTHY EATING BEHAVIORS AMONG AFRICAN AMERICAN PRIMARY CAREGIVERS AND CHILDREN A Dissertation by TYA MICHELLE ARTHUR Submitted to the Office of Graduate Studies... ................................................................................ 1 Background .................................................................................... 1 Problem Statement ......................................................................... 3 Purpose of the Study...

Arthur, Tya Michelle

2012-02-14T23:59:59.000Z

447

Can ambient persuasive technology persuade unconsciously?: using subliminal feedback to influence energy consumption ratings of household appliances  

Science Journals Connector (OSTI)

In this paper we explore a fundamental characteristic of Ambient Persuasive Technology: Can it persuade the user without receiving the user's conscious attention? In a task consisting of 90 trials, participants had to indicate which of three household ... Keywords: ambient persuasive technology, energy conservation behavior, human-technology interaction, persuasion, social feedback, subliminal feedback

Jaap Ham; Cees Midden; Femke Beute

2009-04-01T23:59:59.000Z

448

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

SciTech Connect

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.

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

449

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

SciTech Connect

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

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

1999-07-16T23:59:59.000Z

450

The comparative impact of the market penetration of energy-efficient measures: A sensitivity analysis of its impact on minority households  

SciTech Connect

A sensitivity study was made of the potential market penetration of residential energy efficiency as energy service ratio (ESR) improvements occurred in minority households, by age of house. The study followed a Minority Energy Assessment Model analysis of the National Energy Strategy projections of household energy consumption and prices, with majority, black, and Hispanic subgroup divisions. Electricity and total energy consumption and expenditure patterns were evaluated when the households` ESR improvement followed a logistic negative growth (i.e., market penetration) path. Earlier occurrence of ESR improvements meant greater discounted savings over the 22-year period.

Bozinovich, L.V.; Poyer, D.A.; Anderson, J.L.

1993-12-01T23:59:59.000Z

451

Influence of assumptions about household waste composition in waste management LCAs  

SciTech Connect

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.

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

452

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

SciTech Connect

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

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

1994-08-01T23:59:59.000Z

453

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

SciTech Connect

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.

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

2014-10-14T23:59:59.000Z

454

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

SciTech Connect

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.

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

2012-01-01T23:59:59.000Z

455

Mortality responses to rice price fluctuations and household factors in a farming village in central Tokugawa Japan  

Science Journals Connector (OSTI)

Drawing data from the annual local population registers called shumon-aratame-cho (SAC), this study examines the patterns and covariates of mortality by sex and life stage in the farming village of Nishijo in central Japan in 17731869. The discrete-time event history analysis of mortality in the village offers three major findings. First, mortality responses to rice price fluctuations varied greatly by residents' sex and life stage. Second, coresident kin were important for survival throughout the life course, though the magnitude and nature of the mortality effects of coresident kin differed across sex and age groups. Third, household resources and positions that individuals occupied within a household influenced chances of survival especially in adult and elderly years.

Noriko O. Tsuya; Kiyoshi Hamano

2001-01-01T23:59:59.000Z

456

Population and households dynamics: A mountainous district in northern Japan in the Shmon Aratame Ch of Aizu, 17501850  

Science Journals Connector (OSTI)

The authors examine population trends, demographic characteristics, and the family reproduction system in a highland area of Japan. Aizu district is located in northeastern Japan and has both a mountainous area and a narrow plain. The study is based on Shmon Aratame Ch (SAC), population registers of four villages between 1750 and 1850 and focuses on the mountainous sector. Demographically, this area stagnated because of its isolation and remoteness. There were few migrations in or out. The peasants married early but bore few children. The authors show how demographic patterns are interrelated with family and household patterns. The most frequent family type was the stem family household, traditionally considered as characteristic of Japan, where the ie (house) was usually transmitted to a single heir. Family transmissions of the rural estate are observed in detail. A household cycle took about 3035 years to complete. Major differences were seen among social classes, but, overall, Aizu families possessed ideals of ie and were incorporated into ie systems, particularly in the upper classes.

Akira Hayami; Aoi Okada

2005-01-01T23:59:59.000Z

457

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)

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 ...

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

2013-01-01T23:59:59.000Z

458

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)

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 ...

Look, Wesley Allen

2013-01-01T23:59:59.000Z

459

Published in French in: Revue d'Economie du Dveloppement, Vol.3, (1995), pp. 3-23. HOUSEHOLD MODELING FOR THE DESIGN OF POVERTY ALLEVIATION  

E-Print Network (OSTI)

1 Published in French in: Revue d'Economie du Développement, Vol.3, (1995), pp. 3-23. HOUSEHOLD of heterogeneity that characterizes rural populations and the broad array of types of assets that could

Sadoulet, Elisabeth

460

State-dependent effects of fiscal policy in Japan: Do rule-of-thumb households increase the effects of fiscal policy?  

Science Journals Connector (OSTI)

Abstract This study empirically investigates whether macroeconomic effects of fiscal policy are affected by the existence of rule-of-thumb households in Japan. Motivated by existing theoretical formulations, we estimate a consumption function as extended to a Markov switching model and divide the sample period into two parts depending on the share of rule-of-thumb (ROT) households. Subsequently, we estimate a Vector Autoregression (VAR) model to investigate the effects of two types of fiscal policy shock: unanticipated and anticipated. The results are subjected to robustness checks and reveal that the share of ROT households rises after large negative shocks (i.e., oil shock, economic bubble burst, Lehman shock), and then (unanticipated) fiscal policy shock stimulates private consumption more effectively in the high ROT households period.

Hiroshi Morita

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

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

SciTech Connect

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.

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

462

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

SciTech Connect

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

Poyer, D.A.; Teotia, A.P.S. [Argonne National Lab., IL (United States); Henderson, L. [Univ. of Baltimore, MD (United States)

1998-05-01T23:59:59.000Z

463

Experimental results of a household automatic icemaker in a refrigerator/freezer  

SciTech Connect

This paper describes the performance test results of an automatic icemaker refrigerator under various modes of icemaker operation. The tests were conducted on a 20-ft{sup 3} (0.566-m{sup 3}) household refrigerator that had a single forced convection evaporator and was charged with R-12. The focus of the research was to ascertain the effect of icemaker operation on the refrigerator`s daily energy consumption. Thus, three different types of tests were conducted, depending upon the icemaker`s operating mode. In the first test type, the baseline, the automatic icemaker was turned off and no ice was made. In the second test type, the ice-making mode (test A), the icemaker was turned on and ice was continuously made. Compared to the baseline, additional power was intermittently consumed by a mold heater that melts the ice cubes` interface with the tray, a solenoid valve that supplies water to the icemaker tray, and a motor that rotates the ejector blades to press the crescent-shaped ice cubes out of the mold and unload them into an ice bin. In the third test type, the failure mode (test B), the water supply was manually disconnected but the icemaker was left turned on. Even though no ice was made, additional power was still consumed by the mold heater, the solenoid valve, and the motorized ejector. In tests A and B, the energy consumed by the icemaker`s components increases the cooling load, which raises the compressor power consumption. The present study shows that at the AHAM-specified test conditions, uninterrupted icemaking increased the daily energy consumption by 22.5% to 27.2%.

Haider, I.; Feng, H.; Radermacher, R. [Univ. of Maryland, College Park, MD (United States). Center for Environmental Energy Engineering

1996-12-31T23:59:59.000Z

464

Low-flow appliances and household water demand: An evaluation of demand-side management policy in Albuquerque, New Mexico  

Science Journals Connector (OSTI)

Abstract Residential rebate programs for low-flow water devices have become increasingly popular as a means of reducing urban water demand. Although program specifics vary, low-flow rebates are available in most U.S. metropolitan areas, as well as in many smaller municipalities. Despite their popularity, few statistical analyses have been conducted regarding the effects of low-flow rebates on household water use. In this paper, we consider the effects of rebates from the Albuquerque Bernalillo County Water Utility Authority (ABCWUA). Using panel regression techniques with a database of rebate recipients, we estimate the marginal effects of various low-flow devices on household water demand. Results indicate a negative correlation between household water use and the presence of most low-flow devices, after controlling for water price and weather conditions. Low-flow toilets have the greatest impact on water use, while low-flow washing machines, dishwashers, showerheads, and xeriscape have smaller but significant effects. In contrast, air conditioning systems, hot water recirculators, and rain barrels have no significant impact on water use. We also test for possible rebound effects (i.e. whether low-flow appliances become less-effective over time due to poor rates of retention or behavioral changes) and compare the cost effectiveness of each rebate using levelised-costs. We find no evidence of rebound effects and substantial variation in levelised-costs, with low-flow showerheads being the most cost-effective device under the current ABCWUA rebate program. The latter result suggests that water providers can improve the efficiency of rebate programs by targeting the most cost-effective devices.

James I. Price; Janie M. Chermak; Jeff Felardo

2014-01-01T23:59:59.000Z

465

Patterns of residential energy demand by type of household: white, black, Hispanic, and low- and nonlow-income  

SciTech Connect

This report compares patterns of residential energy use by white, black, Hispanic, low-income, and nonlow-income households. The observed downward trend in residential energy demand over the period of this study can be attributed primarily to changes in space-heating energy demand. Demand for space-heating energy has experienced a greater decline than energy demand for other end uses for two reasons: (1) it is the largest end use of residential energy, causing public attention to focus on it and on strategies for conserving it; and (2) space-heating expenditures are large relative to other residential energy expenditures. The price elasticity of demand is thus greater, due to the income effect. The relative demand for space-heating energy, when controlled for the effect of climate, declined significantly over the 1978-1982 period for all fuels studied. Income classes do not differ significantly. In contrast, black households were found to use more energy for space heating than white households were found to use, although those observed differences are statistically significant only for houses heated with natural gas. As expected, the average expenditure for space-heating energy increased significantly for dwellings heated by natural gas and fuel oil. No statistically significant increases were found in electricity expenditures for space heating. Electric space heat is, in general, confined to milder regions of the country, where space heating is relatively less essential. As a consequence, we would expect the electricity demand for space heating to be more price-elastic than the demand for other fuels.

Klein, Y.; Anderson, J.; Kaganove, J.; Throgmorton, J.

1984-10-01T23:59:59.000Z

466

Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas  

Science Journals Connector (OSTI)

In todays world of volatile fuel prices and climate concerns, there is little study on the relationship between vehicle ownership patterns and attitudes toward vehicle cost (including fuel prices and feebates) and vehicle technologies. This work provides new data on ownership decisions and owner preferences under various scenarios, coupled with calibrated models to microsimulate Austins personal-fleet evolution. Opinion survey results suggest that most Austinites (63%, population-corrected share) support a feebate policy to favor more fuel efficient vehicles. Top purchase criteria are price, type/class, and fuel economy. Most (56%) respondents also indicated that they would consider purchasing a Plug-in Hybrid Electric Vehicle (PHEV) if it were to cost $6000 more than its conventional, gasoline-powered counterpart. And many respond strongly to signals on the external (health and climate) costs of a vehicles emissions, more strongly than they respond to information on fuel cost savings. Twenty five-year simulations of Austins household vehicle fleet suggest that, under all scenarios modeled, Austins vehicle usage levels (measured in total vehicle miles traveled or VMT) are predicted to increase overall, along with average vehicle ownership levels (both per household and per capita). Under a feebate, HEVs, \\{PHEVs\\} and Smart Cars are estimated to represent 25% of the fleets VMT by simulation year 25; this scenario is predicted to raise total regional VMT slightly (just 2.32%, by simulation year 25), relative to the trend scenario, while reducing CO2 emissions only slightly (by 5.62%, relative to trend). Doubling the trend-case gas price to $5/gallon is simulated to reduce the year-25 vehicle use levels by 24% and CO2 emissions by 30% (relative to trend). Two- and three-vehicle households are simulated to be the highest adopters of \\{HEVs\\} and \\{PHEVs\\} across all scenarios. The combined share of vans, pickup trucks, sport utility vehicles (SUVs), and cross-over utility vehicles (CUVs) is lowest under the feebate scenario, at 35% (versus 47% in Austins current household fleet). Feebate-policy receipts are forecasted to exceed rebates in each simulation year. In the longer term, gas price dynamics, tax incentives, feebates and purchase prices along with new technologies, government-industry partnerships, and more accurate information on range and recharging times (which increase customer confidence in EV technologies) should have added effects on energy dependence and greenhouse gas emissions.

Sashank Musti; Kara M. Kockelman

2011-01-01T23:59:59.000Z

467

Cold Fluorescent Light as Major Inducer of Lipid Oxidation in Soybean Oil Stored at Household Conditions for Eight Weeks  

Science Journals Connector (OSTI)

Soybean oil stored in the dark for 56 days showed an increase of the peroxide value by 124 0.62% (p = 0.006), whereas exposure of the oil to light in a cycle of 12 h light alternating with 12 h darkness for 56 days led to a rise of the peroxide value by 1473 1.79% (p ? 0.001). ... Photosensitized oxidation and autoxidation of vegetable oils lead to the formation of a broad range of oxidation products. ... To investigate the influence of cold fluorescent light, bulbs were chosen that emit electromagnetic irradiation in the cold fluorescent range thereby mimicking the storage condition in a typical household. ...

Marc Pignitter; Klaus Stolze; Stephanie Gartner; Bettina Dumhart; Christiane Stoll; Georg Steiger; Klaus Kraemer; Veronika Somoza

2014-02-18T23:59:59.000Z

468

High-altitude sleep disturbance: Results of the Groningen Sleep Quality Questionnaire survey  

Science Journals Connector (OSTI)

Objective To assess the Groningen Sleep Quality Scale (GSQS) for evaluation of high-altitude sleep (HAS) disturbance and employ GSQ questionnaire to describe HAS. Methods After the first nights stay at the altitude of 3500m, quality of sleep for 100 participants (age: 29.1311.01 years; 36 females/64 males) was assessed using the self-administered 15-item GSQS translated into Farsi. Results Mean GSQS score was 5.364.32; 38 (38%) participants had a score equal to or less than 2, and 46 (46%) participants had a score equal to or more than 6. A Cronbachs alpha of 0.90 was calculated for internal consistency. Waking up several times during the night was the most prevalent complaint during the first night of sleep, and absolute inability to sleep was the most uncommon problem. Conclusions HAS disturbance, which involved many of newcomers to a high altitude, had various harmful effects. For HAS research, GSQS was confirmed to be valid and reliable.

Sirous Jafarian; Farzam Gorouhi; Arsia Taghva; Jamshid Lotfi

2008-01-01T23:59:59.000Z

469

A gap in formal long-term care use related to characteristics of caregivers and households, under the public universal system in Japan: 20012010  

Science Journals Connector (OSTI)

Abstract We investigated whether the universal provision of long-term care (LTC) under Japan's public system has equalized its use across households with different socio-economic characteristics, with a special focus on the gender and marital status of primary caregivers, and income. We used repeated cross-sectional data from national household surveys (2001, 2004, 2007, 2010) and conducted multiple logistic regression analyses to obtain odds ratios of caregiver and household characteristics for service use, adjusting for recipients characteristics. The results showed that the patterns of service use have been consistently determined by caregivers gender and marital status over the period despite demographic changes among caregivers. The gap in service use first narrowed, then widened again across income levels after the global economic recession. The results indicate that the traditional gender-bound norms and capacity constraints on households informal care provision remained influential on decisions over service use, even after the universal provision of formal care. To improve equality of service utilization, the universal LTC system needs to meet diversifying needs of caregivers/recipients and their households, by overcoming barriers related to gender norms and economic disparity.

Mutsumi Tokunaga; Hideki Hashimoto; Nanako Tamiya

2014-01-01T23:59:59.000Z

470

Macrocyclic-, polycyclic-, and nitro musks in cosmetics, household commodities and indoor dusts collected from Japan: Implications for their human exposure  

Science Journals Connector (OSTI)

Abstract This paper reported the occurrence and concentrations of macrocyclic-, polycyclic- and nitro musks in cosmetics and household commodities collected from Japan. The high concentrations and detection frequencies of Musk T, habanolide, and exaltolides were found in commercial products, suggesting their large amounts of production and usage in Japan. Polycyclic musks, HHCB and OTNE, also showed high concentrations in cosmetics and products. The estimated dairy intakes of Musk T and HHCB by the dermal exposure to commercial products were 7.8 and 7.9?g/kg/day in human, respectively, and perfume and body lotion are dominant exposure sources. We also analyzed synthetic musks in house dusts. Polycyclic musks, HHCB and OTNE, showed high concentrations in samples, but macrocyclic musks were detected only in a few samples, although these types of musks were highly detected in commercial products. This is probably due to easy-degradation of macrocyclic musks in indoor environment. The dairy intakes of HHCB by dust ingestions were 0.22ng/kg/day in human, which were approximately five orders of magnitudes lower than those of dermal absorption from commercial household commodities.

Haruhiko Nakata; Mari Hinosaka; Hayato Yanagimoto

2015-01-01T23:59:59.000Z

471

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

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

8 Water Heating Characteristics by Household Income, 2005" 8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Water Heating Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Number of Water Heaters" "1.",106.3,25.8,28,19.6,12.7,20.2,16,37.3 "2 or More",3.7,0.3,0.5,0.9,0.4,1.7,"Q",0.5 "Do Not Use Hot Water",1.1,0.6,0.3,"Q","N","Q",0.5,0.8

472

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

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

Housing Unit Characteristics by Household Income, 2005" Housing Unit Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Housing Unit Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Census Region and Division" "Northeast",20.6,4.9,5.4,3.5,2.4,4.3,3.2,8.1 "New England",5.5,1.3,1.3,1,0.6,1.2,0.7,2.3 "Middle Atlantic",15.1,3.7,4.1,2.5,1.8,3.1,2.5,5.8 "Midwest",25.6,6.5,6.6,4.7,3,4.8,3.5,9.4

473

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

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

4 Space Heating Characteristics by Household Income, 2005" 4 Space Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Space Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Main Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Main Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

474

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

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

HC7.9 Home Appliances Characteristics by Household Income, 2005" HC7.9 Home Appliances Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Characteristics" "Total U.S.",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Cooking Appliances" "Conventional Ovens" "Use an Oven",109.6,26.1,28.5,20.2,12.9,21.8,16.3,37.8 "1.",103.3,25.1,27.1,19.2,12.3,19.6,15.8,36.3 "2 or More",6.2,0.9,1.4,1,0.6,2.2,0.5,1.5

475

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

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

1 Home Electronics Characteristics by Household Income, 2005" 1 Home Electronics Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Electronics Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Personal Computers" "Do Not Use a Personal Computer ",35.5,17.1,10.8,4.2,1.8,1.6,10.3,20.6 "Use a Personal Computer",75.6,9.6,18,16.4,11.3,20.3,6.4,17.9 "Number of Desktop PCs" "1.",50.3,8.3,14.2,11.4,7.2,9.2,5.3,14.2

476

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

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

2 Living Space Characteristics by Household Income, 2005" 2 Living Space Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Living Space Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Floorspace (Square Feet)" "Total Floorspace1" "Fewer than 500",3.2,1.9,0.9,"Q","Q","Q",1.3,2.3 "500 to 999",23.8,10.5,7.3,3.3,1.4,1.2,6.6,12.9 "1,000 to 1,499",20.8,5.8,7,3.8,2.2,2,3.9,8.9

477

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

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

3 Lighting Usage Indicators by Household Income, 2005" 3 Lighting Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Lighting Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,20.8,23.6,17,11.3,19.1,13,30.7 "1.",28.6,9.4,9.1,4.5,2.4,3.2,5.7,12.6 "2.",29.5,6.8,8,5.8,3.7,5.2,4.2,10.2

478

The Estonian study of Chernobyl cleanup workers: I. Design and questionnaire data  

SciTech Connect

Nearly 2% of the male population of Estonia aged 20-39 years were sent to Chernobyl to assist in the cleanup activities after the reactor accident. A cohort of 4,833 cleanup workers was assembled based on multiple and independent sources of information. Information obtained from 3,704 responses to a detailed questionnaire indicated that 63% of the workers were sent to Chernobyl in 1986; 54% were of Estonian and 35% of Russian ethnicity; 72% were married, and 1,164 of their 5,392 children were conceived after the Chernobyl disaster. The workers were less educated than their counterparts than their counterparts in the general population of Estonia, and only 8.5% had attended university. Based on doses entered in workers records, the mean dose was 11 cGy, with only 1.4% over 25 cGy. Nearly 85% of the workers were sent as part of military training activities, and more than half spent in excess of 3 months in the Chernobyl area. Thirty-six percent of the workers reported having worked within the immediate vicinity of the accident site; 11.5% worked on the roofs near the damaged reactor, clearing the highly radioactive debris. The most commonly performed task was the removal and burial of topsoil (55% of the workers). Potassium iodide was given to over 18% of the men. The study design also incorporates biological indicators of exposure based on the glycophorin A mutational assay of red blood cells and chromosome translocation analyses of lymphocytes; record linkage with national cancer registry and mortality registry files to determine cancer incidence and cause-specific mortality; thyroid screening examinations with ultrasound and fine-needle biopsy; and cryopreserved white blood cells and plasma for future molecular studies. Comprehensive studies of Chernobyl cleanup workers have potential to provide a new information about cancer risks due to protracted exposures to ionizing radiation. 21 refs., 1 fig., 11 tabs.

Tekkel, M.; Rahu, M.; Veidebaum, T. [Institute of Experimental and Clinical Medicine, Tallinn (Estonia)] [and others

1997-05-01T23:59:59.000Z

479

Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China  

Science Journals Connector (OSTI)

Abstract Decreasing water availability for agricultural production has prompted researchers to focus on comparing and evaluating water use efficiency (WUE) of different crops in various water management strategies. A field survey was conducted to investigate the amount of irrigation water, inputs and yields of eight crops (spring wheat, maize, onion, cotton, hot pepper, sunflower, melons and fennel) grown under furrow irrigation systems in an arid region, Minqin county, Northwestern China (NWC). Previous publications reporting crop WUE were identified and major statistics of evapotranspiration (ET), yield (Y) and WUE were calculated for each crop. By comparing with literature reporting, the mean WUE of onion (8.71kgm?3), cotton (0.56kgm?3), sunflower seed (0.78kgm?3) and fennel (0.51kgm?3) grown in NWC were at the same high levels; while WUE of wheat (0.87kgm?3) and maize (1.17kgm?3) were slightly lower and WUE of hot pepper (2.68kgm?3) and melons (3.27kgm?3) were extremely low. Great potential of saving water could be achieved to realize increased or ideal WUE values for crops in NWC. The total net profit per household of cotton (1606.62$hh?1) was significantly larger and of onion (?3132.30$hh?1) significantly lower than that of other crops. Cotton, sunflower seed, melons and hot pepper had significantly higher crop production values per unit water than other crops, 0.39$m?3, 0.36$m?3, 0.32$m?3 and 0.31$m?3, respectively. The net household profits were significantly higher when excluding onion production for its extremely low price in 2011. With simulation based on different combinations of onion production and increase of migrant workers, the average net household profit could be optimized to provide benefits to local farmers and policy makers regarding income increase and rural policy design.

Yubing Fan; Chenggang Wang; Zhibiao Nan

2014-01-01T23:59:59.000Z

480

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

SciTech Connect

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.

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

Note: This page contains sample records for the topic "recs household questionnaire" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


481

2001 Residential Energy Consumption Survey Form EIA-457C (2001)--Rental Agents, Landlords, and Apartment Managers Questionnaire  

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

Form EIA-457C (2001)--Rental Agents, Landlords, and Apartment Managers Questionnaire OMB No. 1905-0092, Expiring March 31, 200X i U.S. Department of Energy Energy Information Administration 2001 Residential Energy Consumption Survey Rental Agents, Landlords, and Apartment Managers Questionnaire INTRODUCTION TO INTERVIEW Hello, I am __________________________ from Roper Starch Worldwide Inc., a social science research firm. We are conducting a study for the U.S. Department of Energy about energy consumption in homes. Although your participation is voluntary, we hope you will participate in this important study of energy usage. Your identity and all the responses you give me will be kept strictly confidential. The survey will take about 15 minutes.

482

Open burning of household waste: Effect of experimental condition on combustion quality and emission of PCDD, PCDF and PCB  

Science Journals Connector (OSTI)

Open burning for waste disposal is, in many countries, the dominant source of polychlorinated dibenzodioxins, dibenzofurans and biphenyls (PCDD/PCDF/PCB) release to the environment. To generate emission factors for open burning, experimental pile burns of about 100kg of household waste were conducted with emissions sampling. From these experiments and others conducted by the same authors it is found that less compaction of waste or active mixing during the fire stirring promotes better combustion (as evidenced by lower CO/CO2 ratio) and reduces emissions of PCDD/PCDF/PCB; an intuitive but previously undemonstrated result. These experiments also support previous results suggesting PCDD/PCDF/PCB generation in open burning while still highly variable tends to be greater in the later (smoldering) phases of burning when the CO/CO2 ratio increases.

Gustavo Solorzano-Ochoa; David A. de la Rosa; Pablo Maiz-Larralde; Brian K. Gullett; Dennis G. Tabor; Abderrahmane Touati; Barbara Wyrzykowska-Ceradini; Heidelore Fiedler; Todd Abel; William F. Carroll Jr.

2012-01-01T23:59:59.000Z

483

Do households smooth expenditure over anticipated income changes? Evidence from bonus payments to public employees in Japan  

Science Journals Connector (OSTI)

This paper provides new evidence of consumers reaction to an anticipated sizable change in income. Until FY2002, Japanese public employees received predictable large bonus payments three times a fiscal year (in June, December, and March), but the March bonus was abolished in FY2003. We compare the seasonal patterns of public employees expenditure before and after the reform of the bonus payment schedule. Contrary to the prediction of the life cycle/permanent income hypothesis (LC/PIH), we find evidence that monthly patterns of household expenditure were significantly affected by the anticipated large change in income pattern. However, at closer inspection, this excess sensitivity of expenditure is observed only for expenditure subcategories of some durability, i.e., durables and semi-durables. Thus, while the LC/PIH does not appear to hold for expenditure (which we observe here), it may still hold for consumption.

Masahiro Hori; Satoshi Shimizutani

2012-01-01T23:59:59.000Z

484

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)

. This research identifies the housing diversity and the process of housing consolidation in colonias of the US-Mexico border by looking at the patterns of house form and household arrangements in colonias of South Texas. Ten colonias located to the east...

Reimers-Arias, Carlos Alberto

2010-10-12T23:59:59.000Z

485

Attitudes and perceptions of urban households in sub-Saharan Africa on water sources, threats and sustainability: A study in Bondo, Kenya  

E-Print Network (OSTI)

, threats and sustainability: A study in Bondo, Kenya Daniel M Nzengya School of Sustainability, Arizona to clean water in Bondo township. 2. To describe what urban residents perceive as threats to households, during June 2011 to examine how attitudes and perceptions of urban residents on water sources, threats

Hall, Sharon J.

486

Hybrid application of biogas and solar resources to fulfill household energy needs: A potentially viable option in rural areas of developing countries  

Science Journals Connector (OSTI)

Abstract The absence of clean cooking facilities and electricity means billions of rural people are deprived of much needed socioeconomic development. Livestock residues (dung) and solar radiation are two renewable energy resources that are abundantly available in rural areas of developing countries. Although it is not feasible for these two resources separately to meet both thermal (cooking) and electricity demands, hybrid applications have not been given due attention. To facilitate integrating these two resources in rural energy planning, and to promote their dissemination through hybrid applications, it is necessary to evaluate their economic merits, and assess their ability to deal with the demands. In this paper, we examine the techno-economic performance of hybrid applications of these two resources by applying a simulation technique using the HOMER tool, and by giving derived cost-saving equations. We also quantify the monetary savings from replacing traditional fuels, and perform a sensitivity analysis on a number of variables (e.g. dung cost, fuelwood cost) to see how they affect the performance of different energy supply alternatives. Furthermore, we examine the practical applicability of the biogas system in the households through a structured survey of 72 ongoing household biogas plants. This study finds that households that have between three and six cattle can potentially meet their cooking and electricity loads through a hybrid implementation of biogas and solar PV (Photovoltaic) system. By replacing conventional fuels households can achieve savings that are more than the total annualized costs incurred for installing new services.

Md. Mizanur Rahman; Mohammad Mahmodul Hasan; Jukka V. Paatero; Risto Lahdelma

2014-01-01T23:59:59.000Z