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1

Transferring 2001 National Household Travel Survey  

Science Conference Proceedings (OSTI)

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

2

National Household Travel Survey (NHTS): Travel Trends, Analysis and Data Tools  

E-Print Network (OSTI)

of the nation's transportation system to meet current demands and accommodate future demands; to assess of alternative transportation investment programs; and to assess the energy-use and air-quality impacts Analysis Data, Statistical Analysis Geo-Spatial Information Tools Defense Transportation Energy Policy

3

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

SciTech Connect

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

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

2013-01-01T23:59:59.000Z

4

New York Household Travel Patterns: A Comparison Analysis  

SciTech Connect

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

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

2007-05-01T23:59:59.000Z

5

SUPPLEMENTAL ENERGY-RELATED DATA FOR THE 2001 NATIONAL HOUSEHOLD ...  

U.S. Energy Information Administration (EIA)

... vehicle manufacturer, vehicle model, vehicle model year, and vehicle type – several ENERGY INFORMATION ADMINISTRATION/2001 NATIONAL HOUSEHOLD TRAVEL SURVEY K-23 ...

6

EIA - Household Transportation report: Household Vehicles ...  

U.S. Energy Information Administration (EIA)

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 ...

7

Racial and demographic differences in household travel and fuel purchase behavior  

Science Conference Proceedings (OSTI)

Monthly fuel purchase logs from the Residential Energy Consumption Survey's Household Transportation Panel (TP) were analyzed to determine the relationship between various household characteristics and purchase frequency, tank inventories, vehicle-miles traveled, and fuel expenditures. Multiple classification analysis (MCA) was used to relate observed differences in dependent variables to such index-type household characteristics as income and residence location, and sex, race and age of household head. Because it isolates the net effect of each parameter, after accounting for the effects of all other parameters, MCA is particularly appropriate for this type of analysis. Results reveal clear differences in travel and fuel purchase behavior for four distinct groups of vehicle-owning households. Black households tend to own far fewer vehicles with lower fuel economy, to use them more intensively, to purchase fuel more frequently, and to maintain lower fuel inventories than white households. Similarly, poor households own fewer vehicles with lower fuel economy, but they drive them less intensively, purchase fuel more frequently, and maintain lower fuel inventories than nonpoor households. Elderly households also own fewer vehicles with lower fuel economy. But since they drive them much less intensively, their fuel purchases are much less frequent and their fuel inventories are higher than nonelderly households. Female-headed households also own fewer vehicles but with somewhat higher fuel economy. They drive them less intensively, maintain higher fuel inventories, and purchase fuel less frequently than male-headed households. 13 refs., 8 tabs.

Gur, Y.; Millar, M.

1987-01-01T23:59:59.000Z

8

Travel determinants and multi-scale transferability of national activity patterns to local populations  

Science Conference Proceedings (OSTI)

The ability to transfer national travel patterns to a local population is of interest when attempting to model megaregions or areas that exceed metropolitan planning organization (MPO) boundaries. At the core of this research are questions about the connection between travel behavior and land use, urban form, and accessibility. As a part of this process, a group of land use variables have been identified to define activity and travel patterns for individuals and households. The 2001 National Household Travel Survey (NHTS) participants are divided into categories comprised of a set of latent cluster models representing persons, travel, and land use. These are compared to two sets of cluster models constructed for two local travel surveys. Comparison of means statistical tests are used to assess differences among sociodemographic groups residing in localities with similar land uses. The results show that the NHTS and the local surveys share mean population activity and travel characteristics. However, these similarities mask behavioral heterogeneity that are shown when distributions of activity and travel behavior are examined. Therefore, data from a national household travel survey cannot be used to model local population travel characteristics if the goal to model the actual distributions and not mean travel behavior characteristics.

Henson, Kriste M [Los Alamos National Laboratory; Gou; ias, Konstadinos G [UCSB

2010-11-30T23:59:59.000Z

9

Crime and the Nation’s Households, 2000 By  

E-Print Network (OSTI)

experienced 1 or more violent or property crimes in 2000, according to data from the National Crime Victimization Survey (NCVS). About 4.3 million households had members who experienced 1 or more nonfatal violent crimes, including rape, sexual assault, robbery, and aggravated or simple assault. About 14.8 million households experienced 1 or more property crimes — household burglary, motor vehicle theft, or theft. Vandalism, presented for the first time in a Bureau of Justice Statistics (BJS) report, victimized about 6.1 million households. The households that sustained vandalism were counted separately from those experiencing other crimes. Because vandalism is included for the first time, findings are presented in a box on page 4. Beginning in 2001, NCVS victimizations will be measured both with and without vandalism. Measuring the extent to which households are victimized by crime One measure of the impact of crime throughout the Nation is gained through estimating the number and percentage of households victimized Highlights During 2000, 16 % of U.S. households had a member who experienced a crime, with 4 % having a member victimized by violent crime. During 1994, 25 % of households experienced at least one crime; 7 % a violent crime.

Patsy A. Klaus

2002-01-01T23:59:59.000Z

10

Travel Resources | National Nuclear Security Administration  

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

Travel Resources | National Nuclear Security Administration Travel Resources | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog The National Nuclear Security Administration Travel Resources Home > About Us > Our Programs > Defense Programs > Future Science & Technology Programs > Office of Advanced Simulation and Computing and Institutional R&D Programs > Russia Tri-Lab S&T Collaborations > Travel

11

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

12

National Household Travel Survey (2009)

The 2009 National...  

Open Energy Info (EERE)

level, etc.); and

  • vehicle attributes (make, model, model year, amount of miles driven in a year).
      • These data are collected for:

        ...

  • 13

    Travel Resources | National Nuclear Security Administration  

    National Nuclear Security Administration (NNSA)

    Travel Resources Home > About Us > Our Programs > Defense Programs > Future Science & Technology Programs > Office of Advanced Simulation and Computing Institutional Research...

    14

    National Household Travel Survey (2009) | OpenEI  

    Open Energy Info (EERE)

    education level, etc.); and vehicle attributes (make, model, model year, amount of miles driven in a year). These data are collected for: all trips, all modes, all purposes,...

    15

    Novel power system demonstrated for space travel | National Nuclear  

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

    Novel power system demonstrated for space travel | National Nuclear Novel power system demonstrated for space travel | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Novel power system demonstrated for space travel Novel power system demonstrated for space travel Posted By Office of Public Affairs John Bounds, Los Alamos National Laboratory

    16

    Novel power system demonstrated for space travel | National Nuclear  

    National Nuclear Security Administration (NNSA)

    Novel power system demonstrated for space travel | National Nuclear Novel power system demonstrated for space travel | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Novel power system demonstrated for space travel Novel power system demonstrated for space travel Posted By Office of Public Affairs John Bounds, Los Alamos National Laboratory

    17

    The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions  

    E-Print Network (OSTI)

    or more of the others (say, car usage as a function of carnumberof workers, explains car usage, but not car ownership;locations imply higher car usage in terms of travel times

    Golob, Thomas F.

    1990-01-01T23:59:59.000Z

    18

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

    DOE Green Energy (OSTI)

    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

    19

    Brain teasers traveling exhibit opens at Los Alamos National Laboratory's  

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

    Brain teasers exhibit opens at museum Brain teasers exhibit opens at museum Brain Teasers traveling exhibit opens at Los Alamos National Laboratory's Bradbury Science Museum The interactive exhibit is a collection of more than 20 puzzles and mind benders. December 4, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Contact

    20

    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

    Note: This page contains sample records for the topic "national household travel" 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

    SUPPLEMENTAL ENERGY-RELATED DATA FOR THE 2001 NATIONAL HOUSEHOLD ...  

    U.S. Energy Information Administration (EIA)

    1 Test data was received from the U.S. Department of Transportation, National Highway and Traffic Safety Administration for model year’s 1978 through 2001.

    22

    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

    23

    Travel Medicine  

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

    SCOPE OF PROBLEM SCOPE OF PROBLEM * 21% of U.S. Adult Population Travel for Business * 1.4 million International Travelers Daily * Numbers will Increase * Include Workers in Planning TRAVEL AND INFECTIOUS DISEASE * Endemic Exotic Diseases * Antimicrobial Resistance *Non-Specific Presentation of Disease * Emergence/ Re-emergence of Infectious Agents * Importation/ Exportation of Infection Mary L. Doyle, MPH, RN, COHN-S/CM DOE Headquarters January 17,2002 INTERNATIONAL TRAVEL * Economic Expansion * Globalization of Companies * Extended * Extended & Short-tenn Assignments * Multi-National Travel * Circle Globe in Three Days * Incubation Period for Infectious Diseases * Employee Needs Advice from OHN HEALTH ASSESSMENT * Potential Travel Illnesses * Employee Health Risks

    24

    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

    25

    A Model of Household Demand for Activity Participation and Mobility  

    E-Print Network (OSTI)

    household car ownership, car usage, and travel by differentownership demand, and car usage demand. Modal travel demand,mode), car ownership, and car usage for spatial aggregations

    Golob, Thomas F.

    1996-01-01T23:59:59.000Z

    26

    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

    27

    Vehicle Technologies Office: Fact #259: March 17, 2003 Household...  

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

    9: March 17, 2003 Household Travel by Gender to someone by E-mail Share Vehicle Technologies Office: Fact 259: March 17, 2003 Household Travel by Gender on Facebook Tweet about...

    28

    2001 New York State NHTS: Travel Patterns of Special Populations  

    SciTech Connect

    Policymakers 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 accommodate future demands; to assess the feasibility and efficiency of alternative congestion-alleviating technologies (e.g., high-speed rail, magnetically levitated trains, 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. Longer-distance travel was collected in 1977 and 1995. The 2001 National Household Travel Survey (NHTS) collected both daily and longer-distance trips in one survey. 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 was not part of the survey. New York State participated in the 2001 NHTS by procuring additional 12,000 sample households. These additional sample households allowed New York State to address transportation planning issues pertinent to geographic areas that are significantly smaller than what the national NHTS data allowed. The final sample size for New York State was 13,423 usable households. In this report, Oak Ridge National Laboratory (ORNL) identifies and analyzes differences, if any, in travel patterns that are attributable to demographic characteristics (e.g., gender, age, race and ethnicity), household characteristics (e.g., low income households, zero and one car households), modal characteristics and geographic location. Travel patterns of those who work at home are examined and compared to those of conventional workers, as well as those who do not work. Focus is given to trip frequency, travel by time of day, trip purpose, and mode choice. For example, included in this analysis is the mobility of the elderly population in New York State. The American society is undergoing a major demographic transformation that is resulting in a greater percentage of older individuals in the population. In addition to demographic changes, recent travel surveys show that an increasing number of older individuals are licensed to drive and that they drive more than their same age cohort did a decade ago. Cohort differences in driving are particularly apparent - not only are more of today's elderly population licensed to drive than their age cohort two decades ago, they also drive more. Equally important are the increase in immigration and in racial and cultural diversity. This report also discusses vehicle availability, socioeconomic characteristics, travel trends (e.g., miles travelled, distance driven, commute patterns), and the transportation accessibility of these populations. Specifically, this report addresses in detail the travel behavior of the following special populations: (1) the elderly, defined as those who were 65 years old or older, (2) low-income households, (3) ethnic groups and immigrants, and (4) those who worked at home.

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

    2010-03-01T23:59:59.000Z

    29

    Household Vehicles Energy Consumption 1994 - PDF Tables  

    U.S. Energy Information Administration (EIA)

    Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

    30

    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

    31

    National and Racial Identity and the Desire for Expansion: A Study of American Travel Narratives, 1790-1850  

    E-Print Network (OSTI)

    This dissertation aims to investigate the shaping of a national literature within travel narratives written by William Bartram, Washington Irving, George Catlin, Thomas L. McKenney, Thomas Jefferson Farnham, and Francis Parkman. I focus attention on two issues: (1) National and racial identity, and (2) Territorial, cultural, and capitalist expansionism. National and racial identity construction is examined by clarifying how the narratives’ underlying voices—the National Symbolic and the Racial Symbolic—encourage the reading public to embrace the values vital in forging American collective identity. Identity invention is also seen in romantic representations of the American landscape and Native Americans. Between 1790 and 1850, the widespread trope of the Noble Savage and “distantiation” working in the Burkean aesthetics of the sublime were used as ideological frames for viewing “Others,” crucial in defining the American “self” by making the white Americans’ shift of association/dissociation with their primitivized Others possible. In order to analyze the narratives’ representation of expansionism as a national desire, this study investigates how romantic rhetoric and the appeal to morality (or the Law) were employed as decisive ideological foundations for rationalizing expansionism. Chapter I establishes the legitimacy of evaluating travel narratives as a significant part of America’s national literature. Chapter II reveals that democracy, masculine robustness, and the myth that Americans are a chosen people of progress are featured aspects in the portrayals of American pathfinders. Chapter III shows that the racial identity of “civilized whites” is forged in accordance with a miscegenation taboo informing negative portrayals of half-breeds and racial boundary crossing. Chapter IV illustrates that American freedom, simplicity, wholesome civilization, and youthfulness are presented as national characteristics through adapting the romantic tropes of the Noble Savage and the aesthetics of the sublime. Chapter V investigates the perverse mode of desiring in the iterative triangular relationship between romanticism, morality, and expansionism—the nation’s civilizing project par excellence. Chapter VI appraises the travel narratives’ roles in defining American selfhood and reflecting (and promoting) an imperialistic desire for expansion.

    Jeong, Jin Man

    2011-05-01T23:59:59.000Z

    32

    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

    33

    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.

    34

    Chapter 3. Vehicle-Miles Traveled  

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

    3. Vehicle-Miles Traveled 3. Vehicle-Miles Traveled Chapter 3. Vehicle-Miles Traveled Vehicle-miles traveled--the number of miles that residential vehicles are driven--is probably the most important information collected by the Residential Transportation Energy Consumption Survey. Using the data on vehicle-miles traveled allows analysts to answer such questions as: "Are minivans driven more than passenger cars?" "Do people in the West drive more than people elsewhere?" "Do people conserve their new cars by driving them less?" "Who drives more--people in households with children, or other people?" "At what ages do people drive the most?" "How does growing income affect the amount of driving?" In addition to answering those kinds of questions, analysts also use the number of vehicle-miles traveled to compute estimated, on-road vehicle fuel consumption, economy, and expenditures, all of which have important implications for U.S. energy policy and national security (see Chapter 4).

    35

    Household Energy Consumption and Expenditures 1993 -- Executive ...  

    U.S. Energy Information Administration (EIA)

    national level data on energy-related issues on households and energy expenditures in the residential sector.

    36

    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

    37

    Incorporating uncertainty in vehicle miles traveled projections of the National Energy Modeling System.  

    E-Print Network (OSTI)

    ??The National Energy Modeling System (NEMS) is a computational model that forecasts the production, consumption, and prices of energy in the United States. Although NEMS… (more)

    Poetting, David Michael

    2011-01-01T23:59:59.000Z

    38

    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

    39

    Household vehicles energy consumption 1991  

    Science Conference Proceedings (OSTI)

    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

    40

    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

    Note: This page contains sample records for the topic "national household travel" 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

    Alston S. Householder Fellowship | Careers | ORNL  

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

    in Scientific Computing honors Dr. Alston S. Householder, founding Director of the Mathematics Division (now Computer Science and Mathematics Division) at the Oak Ridge National...

    42

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

    U.S. Energy Information Administration (EIA)

    U.S. Per Household Vehicle-Miles Traveled ... and Alternate Fuels, Form EIA-826, "Monthly Electric Utility Sales and Revenue Report with State Distributions."

    43

    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

    44

    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

    45

    Travel Visa  

    Science Conference Proceedings (OSTI)

    Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

    46

    Travel Reimbursement  

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

    Fund. TRAVEL RESOURCES Albuquerque Sunport Albuquerque Sunport Car Rental Center Atomic City Transit FastPark and Relax Albuquerque Airport Parking GSA Domestic Per Diem...

    47

    The New Suburbs: Evolving travel behavior, the built environment, and subway investments in Mexico City  

    E-Print Network (OSTI)

    analysis of built environment characteristics on householdTravel and the Built Environment -- A Meta-Analysis. Journalnon-work travel. Built Environment, 18(4), 253–267. Hess, D.

    Guerra, Erick

    2013-01-01T23:59:59.000Z

    48

    An Econometric Analysis of the Elasticity of Vehicle Travel with Respect to Fuel Cost per Mile Using RTEC Survey Data  

    Science Conference Proceedings (OSTI)

    This paper presents the results of econometric estimation of the ''rebound effect'' for household vehicle travel in the United States based on a comprehensive analysis of survey data collected by the U.S. Energy Information Administration (EIA) at approximately three-year intervals over a 15-year period. The rebound effect is defined as the percent change in vehicle travel for a percent change in fuel economy. It summarizes the tendency to ''take back'' potential energy savings due to fuel economy improvements in the form of increased vehicle travel. Separate vehicles use models were estimated for one-, two-, three-, four-, and five-vehicle households. The results are consistent with the consensus of recently published estimates based on national or state-level data, which show a long-run rebound effect of about +0.2 (a ten percent increase in fuel economy, all else equal, would produce roughly a two percent increase in vehicle travel and an eight percent reduction in fuel use). The hypothesis that vehicle travel responds equally to changes in fuel cost-per-mile whether caused by changes in fuel economy or fuel price per gallon could not be rejected. Recognizing the interdependency in survey data among miles of travel, fuel economy and price paid for fuel for a particular vehicle turns out to be crucial to obtaining meaningful results.

    Greene, D.L.; Kahn, J.; Gibson, R.

    1999-03-01T23:59:59.000Z

    49

    Section J: HOUSEHOLD CHARACTERISTICS  

    U.S. Energy Information Administration (EIA)

    2001 Residential Energy Consumption Survey Form EIA-457A (2001)--Household Questionnaire OMB No.: 1905-0092, Expiring February 29, 2004 42 Section J: HOUSEHOLD ...

    50

    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

    51

    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

    52

    Data Processing Procedures and Methodology for Estimating Trip Distances for the 1995 American Travel Survey (ATS)  

    SciTech Connect

    The 1995 American Travel Survey (ATS) collected information from approximately 80,000 U.S. households about their long distance travel (one-way trips of 100 miles or more) during the year of 1995. It is the most comprehensive survey of where, why, and how U.S. residents travel since 1977. ATS is a joint effort by the U.S. Department of Transportation (DOT) Bureau of Transportation Statistics (BTS) and the U.S. Department of Commerce Bureau of Census (Census); BTS provided the funding and supervision of the project, and Census selected the samples, conducted interviews, and processed the data. This report documents the technical support for the ATS provided by the Center for Transportation Analysis (CTA) in Oak Ridge National Laboratory (ORNL), which included the estimation of trip distances as well as data quality editing and checking of variables required for the distance calculations.

    Hwang, H.-L.; Rollow, J.

    2000-05-01T23:59:59.000Z

    53

    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

    54

    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

    55

    Household energy and consumption and expenditures, 1990. Supplement, Regional  

    Science Conference Proceedings (OSTI)

    The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

    Not Available

    1993-03-02T23:59:59.000Z

    56

    char_household2001.pdf  

    Annual Energy Outlook 2012 (EIA)

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

    57

    Travel | Department of Energy  

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

    Travel Travel Travel The Travel Services Team serves as the Headquarters POC for the following services: Headquarters Travel Management Center (TMC) Official Travel, Domestic and Foriegn Foreign Travel Management System (FTMS) Official Travel Regulations and Guidelines U.S. Passports and Visa Services (Official and Diplomatic) Non-Refundable Airfare Guidance International Insurance for DOE Officials (MEDEX) RezProfiler Instructions Car Rental Hotel Reservations Travel FAQs For questions about Travel Services or the Travel Management Center, see the Contact Us, Travel Services Section Travel Management Center (TMC) The Travel Services Team oversees the Travel Management Center (TMC), which is operated by ADTRAV Travel Management. Office Hours - 8:00 a.m. to 5:00 p.m. Office Location - Forrestal, Room GE-180

    58

    Travel Award Program  

    Science Conference Proceedings (OSTI)

    Travel Award Program. What is the travel award? The CNST has a Cooperative Agreement with the University of Maryland Nanocenter. ...

    2010-11-16T23:59:59.000Z

    59

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

    E-Print Network (OSTI)

    for 62 percent of national energy consumption, or over 1 .1energy consumption, and (2) residential, because of the dominant role that households play in national

    Leitmann, Josef

    1989-01-01T23:59:59.000Z

    60

    Travel Arrangements  

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

    Week 2 - Argonne National Laboratory Social Activities Friday, June 24 - ReceptionBanquet at the Argonne Guest House Saturday, June 25 - Student Closing Picnic Scientific...

    Note: This page contains sample records for the topic "national household travel" 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

    Travel Arrangements  

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

    Week 2 - Argonne National Laboratory Social Activities Friday, June 12 - ReceptionBanquet at the Argonne Guest House Saturday, June 13 - Student Closing Picnic Scientific...

    62

    ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

    SciTech Connect

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

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

    2009-04-15T23:59:59.000Z

    63

    Energy and household expenditure patterns  

    Science Conference Proceedings (OSTI)

    Since households account, either directly or indirectly, for two-thirds of the energy consumed in the US, changes in household activities will affect energy use. Expected changes in prices, personal income, and family spending over the next 20 years are looked at as well as the implications for energy consumption. The analysis shows that direct energy purchases will break with past trends, dropping from 2.6% to 0.2% annual growth for the rest of the century. Growth in spending on energy-using goods is also likely to slow down. The year 2000 will see a marked decrease in the growth of national energy consumption. 58 references, 3 figures, 35 tables.

    Lareau, T.J.; Darmstadter, J.

    1983-01-01T23:59:59.000Z

    64

    Car Sharing within Households  

    E-Print Network (OSTI)

    The objective of this paper was to analyse two activities: who rents a car and why? Which households share the driving of their cars? In order to do that, the Parc-Auto (Car-Fleet) database, built from annual postal surveys conducted with a panel of 10,000 French households, has been processed. Among approximately one hundred questions in the survey, two key questions have been crossed against many social, economic, demographic, geographic or time variables. KQ1: “During the last 12 months, did you — or another person from your home — rent a car in France for personal purposes? ” KQ2: “Is this car occasionally used by other persons?” Here are the main findings. Renting households are mainly working, high income households, living in the core of big cities, and in particular in Paris. Most of them have two wage-sheets and two cars, one of which is generally a recent, high power, high quality car. Car rental is mainly an occasional practice. Yet for a minority of renters, it is a sustained habit. Households with more licence holders than cars share the most: about three quarters of them share their cars. On the contrary, single driver-single car households have less opportunity to share: only 15 % share. Household car sharing shed light on the gender role within households: while 58 % of the main users of the shared cars are male, 55 % of secondary users are female. Household car sharing is mainly a regular practice. Finally, without diminishing the merits of innovative transport solutions proposed here and there, it is not a waste of time to give some insight on self established behaviour within households. This reveals that complex patterns have been built over time by the people themselves, to cope with diverse situations that cannot be easily handled by straightforward classifications. The car cannot be reduced to a personal object. Household car sharing also carries strong links with the issue of car dependency. Sifting car availability and choice

    Francis Papon; Laurent Hivert

    2008-01-01T23:59:59.000Z

    65

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

    Science Conference Proceedings (OSTI)

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

    Guerin, D.A.

    1988-01-01T23:59:59.000Z

    66

    PRELIMINARY DATA Housing Unit and Household Characteristics  

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

    PRELIMINARY DATA Housing Unit and Household Characteristics RSE Column Factor: Total Households (million) Households With Fans (million) Percent of Households With Fans Number of...

    67

    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 ï‚· 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. ï‚· 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

    68

    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 ï‚· 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. ï‚· 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

    69

    Household energy consumption and expenditures 1993  

    Science Conference Proceedings (OSTI)

    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

    70

    A Framework for Corporate Householding  

    E-Print Network (OSTI)

    Previous research on corporate household and corporate householding has presented examples, literature review, and working definitions. In this paper, we first improve our ...

    Madnick, Stuart

    2003-03-21T23:59:59.000Z

    71

    A Joint Household Travel Distance Generation and Car Ownership Model  

    E-Print Network (OSTI)

    at a~ljustmentsof car ownership usage that representare from previous car ownership, train usage, and bus-tram-car usageare moreimportantthan the laggedeffects of public transport usage.

    Golob, Thomas F.; Van Wissen , Leo

    1989-01-01T23:59:59.000Z

    72

    A Joint Household Travel Distance Generation And Car Ownership Model  

    E-Print Network (OSTI)

    at a~ljustmentsof car ownership usage that representare from previous car ownership, train usage, and bus-tram-car usageare moreimportantthan the laggedeffects of public transport usage.

    Golob, Thomas F.; Van Wissen, Leo

    1989-01-01T23:59:59.000Z

    73

    Information for Travelers  

    Science Conference Proceedings (OSTI)

    Information for Travelers. Background Notes of Countries and International Organizations; Centers for Disease Control Health Information; ...

    2012-09-19T23:59:59.000Z

    74

    Travel Notes - World Market Update  

    Science Conference Proceedings (OSTI)

    Travel notes, air travel, rail travel. Travel Notes - World Market Update Biofuels and Bioproducts and Biodiesel Processing Elearning Olive oil Industry Events Industrial Oil Products Abstracts Program Travel Hotel Short Courses Exhibits Regi

    75

    Final Report Phase I Study to Characterize the Market Potential for Non-Motorized Travel  

    SciTech Connect

    The idea of livable communities suggests that people should have the option to utilize non-motorized travel (NMT), specifically walking and bicycling, to conduct their daily tasks. Forecasting personal travel by walk and bike is necessary as part of regional transportation planning, and requires fine detail not only about individual travel, but also on transportation and neighborhood infrastructure. In an attempt to characterize the 'market' potential for NMT, the Office of Planning, Federal Highway Administration (FHWA) funded the Center for Transportation Analysis (CTA) of the Oak Ridge National Laboratory (ORNL) to conduct a study. The objectives of this effort were to identify factors that influence communities to walk and bike and to examine why, or why not, travelers walk and bike in their communities. This study relied on information collected under the 2009 National Household Travel Survey (NHTS) as the major source of data, and was supplemented with data from the American Community Survey (ACS), educational survey, health, employment, and others. Initial statistical screening methods were applied to sort through over 400 potential predictor variables, and examined with various measures (e.g., walk trip per person, walk mileage per person, bike trip per person, bike mileage per person) as the dependent variables. The best geographic level of detail used in the modeling for this study was determined to be the Census block group level for walking and Census tract level for biking. The need for additional supplemental private data (i.e., Walk Scores and Nielsen employment data), and geospatial information that reflects land use and physical environments, became evident after an examination of findings from the initial screening models. To be feasible, in terms of costs and time, the geographic scale of the study region was scaled down to nine selected NHTS add-on regions. These regions were chosen based on various criteria including transit availability, population size, and a mix of geographic locations across the nation. Given the similarities in modeling results from walk trips and walk mileages, additional modeling efforts conducted under the later part of this study were focused on walk trips per person. Bike models were limited only with the stepwise logistic models using Census tracts in the selected regions. Due to NHTS sampling limitations, only about 12% of these tracts have bike trips recorded from NHTS sampled households. The modeling with NHTS bike data proved to be more challenging and time consuming than what was anticipated. Along with the late arrival of Nielsen employment data, the project team had to limit the modeling effort to focus on walking. Therefore, the final modeling and discriminant analysis was conducted only for walking trips.

    Hwang, Ho-Ling [ORNL; Reuscher, Tim [Macrosys; Wilson, Daniel W [ORNL; Schmoyer, Richard L [ORNL

    2012-06-01T23:59:59.000Z

    76

    Simulation and optimization of the pre-hospital care system of the National University of Mexico using travelling salesman problem algorithms  

    Science Conference Proceedings (OSTI)

    A hybrid methodology was developed in this project, using optimization and simulation techniques to analyze efficiency in a pre-hospital healthcare system offered by Emergency Medical Technicians (TUMs) or paramedics. This healthcare is offered in the ... Keywords: optimization, prehospital service, shorthest route, travelling salesman problem

    Esther Segura Pérez; Luis Altamirano Yepez; Idalia Flores de la Mota

    2010-07-01T23:59:59.000Z

    77

    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

    78

    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

    79

    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

    80

    Household energy and consumption and expenditures, 1990. [Contains Division, Census Region, and Climate Zone maps  

    Science Conference Proceedings (OSTI)

    The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

    Not Available

    1993-03-02T23:59:59.000Z

    Note: This page contains sample records for the topic "national household travel" 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

    Personal vehicles preferred by urban Americans: household automobile holdings and new car purchases projected to the year 2000  

    DOE Green Energy (OSTI)

    A procedure is described for modeling the choices made in urban American households among personal vehicles on the bases of cost, passenger capacity, and engine technology, and it projects those preferences to the year 1990 and 2000. The results of this disaggregate technique are used by the other predictive research tasks undertaken by Argonne National Laboratory in a project entitled Technology Assessment of Productive Conservation in Urban Transportation (TAPCUT). The vehicle preferences reported here furnish data for the overall TAPCUT objective of forecasting the probable effects of energy conservation policies in transportation. In our projections, vehicles with standard spark-ignition (Otto-cycle) engines continue to dominate automobile holdings and new car purchases in either of two socioeconomic scenarios under any of three settings (an existing policy set and two alternative conservation strategies). From 1990, small cars (seating four or fewer passengers) dominate urban holdings and sales in two of the three TAPCUT energy strategies - the exception being the strategy that emphasizes individual travel - and this holds true with only a minor variation for both socioeconomic scenarios (an optimistic one and a slightly pessimistic one). Advanced-technology vehicles are most successful under the Individual Travel Strategy. It appears that vehicle charateristics are far more significant than demographic descriptors in estimating household vehicle choice using this modeling approach.

    Saricks, C.L.; Vyas, A.D.; Bunch, J.A.

    1982-01-01T23:59:59.000Z

    82

    Household Vehicles Energy Use Cover Page  

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

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

    83

    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

    84

    Non-Motorized Travel Study.pub  

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

    Motorized Travel Study: Motorized Travel Study: Identifying Factors that Influence Communities to Walk and Bike and to Examine Why, or Why Not, Travelers Walk and Bike in Their Communities Oak Ridge National Laboratory managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract number DE-AC05-00OR22725 Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies Research Brief T he idea of livable communities suggests that people should have the option to utilize non-motorized travel (NMT), specifically walking and bicycling, to conduct their daily tasks. Forecasting personal travel by walk and bike is necessary as part of regional transportation planning, and requires fine

    85

    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

    86

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

    E-Print Network (OSTI)

    Household 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 should be considered hazardous. You cannot treat hazardous wastes like other kinds of garbage

    de Lijser, Peter

    87

    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

    88

    TMS Intl Travel Visa  

    Science Conference Proceedings (OSTI)

    Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

    89

    Energy Spending and Vulnerable Households  

    E-Print Network (OSTI)

     off than before. In particular large households with low  incomes seem to have been adversely affected by the new tariff structures since  they have comparably large energy expenditure (Bennet et al., 2002).    5. Vulnerable Households and Energy Spending  The...  tariffs can play an important part in the public debate  on  eradicating  fuel  poverty  and  helping  the  vulnerable  households.  Smart  metering  can  provide  consumers  with  information  on  the  actual  energy  consumption and might  lead  to...

    Jamasb, Tooraj; Meier, Helena

    2011-01-26T23:59:59.000Z

    90

    Active Travel Behavior  

    E-Print Network (OSTI)

    Evenson, K.R. , A.H. Herring, and S.L. Huston. (2005). “quasi-longitudinal study Evenson, Herring, and Huston (2005)household. Although Evenson, Herring, and Huston noted that

    Burbidge, Shaunna K; Goulias, Konstadinos G.

    2008-01-01T23:59:59.000Z

    91

    Household Vehicles Energy Consumption 1991  

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

    DOEEIA-0464(91) Distribution Category UC-950 Household Vehicles Energy Consumption 1991 December 1993 Energy Information Administration Office of Energy Markets and End Use U.S....

    92

    Household Energy Consumption and Expenditures  

    Reports and Publications (EIA)

    Presents information about household end use consumption of energy and expenditures for that energy. These data were collected in the 2005 Residential Energy Consumption Survey (RECS)

    Information Center

    2008-09-01T23:59:59.000Z

    93

    Household Vehicles Energy Consumption 1991  

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

    a regular basis at the time of the 1990 RECS personal interviews. Electricity: See Main Heating Fuel. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991...

    94

    Household Vehicles Energy Consumption 1994  

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

    AdministrationHousehold Vehicles Energy Consumption 1994 110 Electricity: See Main Heating Fuel. Energy Used in the Home: For electricity or natural gas, the quantity is the...

    95

    Residential energy consumption and expenditure patterns of black and nonblack households in the United States  

    Science Conference Proceedings (OSTI)

    Residential energy consumption and expenditures by black and nonblack households are presented by Census region and for the nation based on the Energy Information Administration's 1982-83 Residential Energy Consumption Survey (RECS). Black households were found to have significantly lower levels of electricity consumption at both the national and regional level. Natural gas is the dominant space heating fuel used by black households. Natural gas consumption was typically higher for black households. However, when considering natural gas consumption conditional on natural gas space heating no significant differences were found. 10 refs., 1 fig., 8 tabs.

    Vyas, A.D.; Poyer, D.A.

    1987-01-01T23:59:59.000Z

    96

    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

    97

    Projecting household energy consumption within a conditional demand framework  

    Science Conference Proceedings (OSTI)

    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

    98

    Segmenting the mature travel market by motivation  

    Science Conference Proceedings (OSTI)

    The purpose of this study was to segment mature travellers based on their motivations and to profile the similarities and differences between mature travel market segments according to their sociodemographic and travel-related characteristics. A ... Keywords: USA, United States, cluster analysis, data analysis, educational travellers, factor analysis, mature markets, mature travellers, personal travellers, segmentation, social travellers, sociodemographics, travel market segments, travel motivation

    Yawei Wang; Yanli Zhang; John Xia; Zhongxian Wang

    2008-11-01T23:59:59.000Z

    99

    Household Vehicles Energy Consumption  

    Reports and Publications (EIA)

    This report provides newly available national and regional data and analyzes the nation's energy use by light-duty vehicles. This release represents the analytical component of the report, with a data component having been released in early 2005.

    Mark Schipper

    2005-11-30T23:59:59.000Z

    100

    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

    Note: This page contains sample records for the topic "national household travel" 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

    Enabling time travel for the scholarly web  

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

    Enabling time travel for the scholarly web Enabling time travel for the scholarly web Enabling time travel for the scholarly web An international team of information scientists has begun a study to investigate how web links in scientific and other academic articles fail to lead to the resources being referenced. July 16, 2013 Herbert Van de Sompel, a Los Alamos National Laboratory information scientist, describes the information pathway involved in preventing "reference rot" in scientific material linked to the web. Herbert Van de Sompel, a Los Alamos National Laboratory information scientist, describes the information pathway involved in preventing "reference rot" in scientific material linked to the web. Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email "Increasingly, scientific papers contain links to web pages containing,

    102

    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

    103

    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

    104

    Interviewee Travel Regulations Scope  

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

    3/2012 3/2012 Interviewee Travel Regulations Scope These regulations apply to the reimbursement of round-trip travel expenses incurred by interviewees. These regulations do not apply to applicants who live within a 50-mile radius of Los Alamos based on the Rand McNally Standard Highway Mileage Guide. Reimbursement With the exception of airfare, interviewees will be reimbursed for travel expenses according to Federal travel regulations. For interviewees, airfare reimbursement is limited to the lesser of the standard coach airfare or the actual amount paid. The lowest available airfare should be obtained based on the official business dates and locations. The reimbursement amount will be based on the most direct route available between the interviewee's residence and the laboratory. Costs incurred over the lowest available fare will be the

    105

    Travel Request Form  

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

    Lodging Lodging Transportation SNAP COLLABORATION MEETING JUNE 1 - 3, 2006 TRAVEL FUNDING REQUEST FORM If you require Travel funding support from LBNL to attend the SNAP Collaboration Meeting, please fill out the travel request form below and click on the "SEND" button. As an alternative, you can simply email the requested information on the form to snap@lbl.gov Deadline: Please submit your request NLT Wednesday, May 10, 2006. Disclaimer: Please note that the submission of this request does not automatically constitute funding approval. 1. First Name Last Name 2. Has this travel funding support been pre-approved by the SNAP management? Yes No 3. If answer to #2 is "Yes": a) Approval by whom? b) What was the maximum reimbursement amount from SNAP?

    106

    Traveling-wave photodetector  

    DOE Patents (OSTI)

    The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size. 4 figures.

    Hietala, V.M.; Vawter, G.A.

    1993-12-14T23:59:59.000Z

    107

    Traveling-wave photodetector  

    DOE Patents (OSTI)

    The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size.

    Hietala, V.M.; Vawter, G.A.

    1992-12-31T23:59:59.000Z

    108

    Traveling-wave photodetector  

    DOE Patents (OSTI)

    The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size.

    Hietala, Vincent M. (Placitas, NM); Vawter, Gregory A. (Albuquerque, NM)

    1993-01-01T23:59:59.000Z

    109

    Extending Efficiency Services to Underserved Households: NYSERDA...  

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

    Extending Efficiency Services to Underserved Households: NYSERDA's Assisted Home Performance with ENERGY STAR Program Title Extending Efficiency Services to Underserved Households:...

    110

    University of Kansas Travel Handbook  

    E-Print Network (OSTI)

    ...................................................................................................................5 Future Employees Traveling Before Start Date .....................................................................................................................................6 Transportation Expenses.................................................................................................................................6 Reimbursable Transportation

    Peterson, Blake R.

    111

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

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

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

    112

    Household Vehicles Energy Consumption 1994  

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

    W as hi ng to n, DC DOEEIA-0464(94) Distribution Category UC-950 Household Vehicles Energy Consumption 1994 August 1997 Energy Information Administration Office of Energy Markets...

    113

    ac_household2001.pdf  

    Annual Energy Outlook 2012 (EIA)

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

    114

    Household savings and portfolio choice  

    E-Print Network (OSTI)

    This thesis consists of three essays that examine household savings and portfolio choice behavior. Chapter One analyses the effects of employer matching contributions and tax incentives on participation and contribution ...

    Klein, Sean Patrick

    2010-01-01T23:59:59.000Z

    115

    Zero Energy Travel  

    E-Print Network (OSTI)

    It is fundamentally possible to travel with zero energy based on Newton Laws of Motion. According to the first law of motion, a body will continue to travel for infinite distance unless it is acted upon by another force. For a body in motion, the force which stops perpetual motion is friction. However, there are many circumstances that friction is zero, for example in space, where there is vacuum. On earth, gravity makes objects to be in constant contact with each other generating friction but technology exists to separate them in the air using powerful magnetic forces. At low speeds, the friction caused by air is minimal but we can create vacuum even on land for high speed travel. Another condition for travelling is for it to stop at its destination. On land, we can recover the kinetic energy back into electrical energy using brushless permanent magnet generators. These generators can also convert electric energy into kinetic energy in order to provide motion. This article reviews technologies that will allow us to travel with zero energy. It is easier to do it on land but in the air, it is not obvious.

    Othman Ahmad; Aroland Kiring; Ali Chekima

    2011-09-17T23:59:59.000Z

    116

    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

    117

    KCP installs steel cable mesh that can stop a 20 pound item traveling...  

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

    item traveling 240 mph Posted By Office of Public Affairs Construction of the Kansas City Plant at the new National Security Campus has included some unique building...

    118

    Greenhouse Earth: A Traveling Exhibition  

    SciTech Connect

    The Franklin Institute Science Museum provided an exhibit entitled the Greenhouse Earth: A Traveling Exhibition. This 3500 square-foot exhibit on global climate change was developed in collaboration with the Association of Science-Technology Centers. The exhibit opened at The Franklin Institute on February 14, 1992, welcoming 291,000 visitors over its three-month stay. During its three-year tour, Greenhouse Earth will travel to ten US cities, reaching two million visitors. Greenhouse Earth aims to deepen public understanding of the scientific issues of global warming and the conservation measures that can be taken to slow its effects. The exhibit features hands-on exhibitry, interactive computer programs and videos, a theater production, a demonstration cart,'' guided tours, and lectures. supplemental educational programs at the Institute included a teachers preview, a symposium on climate change, and a satellite field trip.'' The development of Greenhouse Earth included front-end and formative evaluation procedures. Evaluation includes interviews with visitors, prototypes, and summative surveys for participating museums. During its stay in Philadelphia, Greenhouse Earth was covered by the local and national press, with reviews in print and broadcast media. Greenhouse Earth is the first large-scale museum exhibit to address global climate change.

    Booth, W.H.; Caesar, S.

    1992-09-01T23:59:59.000Z

    119

    SPECIAL REPORT 298: EFFECTS OF LAND DEVELOPMENT PATTERNS ON MOTORIZED TRAVEL, ENERGY, AND CO2 EMISSIONS  

    E-Print Network (OSTI)

    SPECIAL REPORT 298: EFFECTS OF LAND DEVELOPMENT PATTERNS ON MOTORIZED TRAVEL, ENERGY, AND CO2 by significant fuel economy legislation, energy taxes, household-level carbon budgets, and cooperative behavior alternative to gasoline and diesel, achieving significant GHG and petroleum savings. However, biofuels

    Kockelman, Kara M.

    120

    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 ......................................

    Note: This page contains sample records for the topic "national household travel" 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

    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 ........................

    122

    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

    123

    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 ....................................................

    124

    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

    125

    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

    126

    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

    127

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

    E-Print Network (OSTI)

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

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    128

    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.

    129

    2005 PTM Travel Information - TMS  

    Science Conference Proceedings (OSTI)

    TRAVEL INFORMATION · SOCIAL EVENTS & TOURS · VISA INFORMATION ... Wind: SSW at 7 mph. Airport Delays · Beach Conditions · Pollen Reports ...

    130

    Travel plans: opportunities for ICT  

    Science Conference Proceedings (OSTI)

    Site-based mobility management or 'travel plans' address the transport problem by engaging with those organisations such as employers that are directly responsible for generating the demand for travel, and hence have the potential to have a major impact ... Keywords: ict, market niche, sustainable transport, travel plans

    Marcus P. Enoch

    2012-06-01T23:59:59.000Z

    131

    Household energy in South Asia  

    Science Conference Proceedings (OSTI)

    This research study on the use of energy in South Asis (India, Pakistan, Sri Lanka and Bangladesh) was sponsored by the Food and Agriculture Organization of the UN, the International Bank for Reconstruction and Development (the World Bank), and the Directorate-General for Development of the Commission of the European Communities. The aim of this book is to improve the understanding of household energy and its linkages, by reviewing the data resources on household energy use, supply, prices and other relevant factors that exist in South Asia.

    Leach, G.

    1987-01-01T23:59:59.000Z

    132

    Travel Resources | National Nuclear Security Administration  

    National Nuclear Security Administration (NNSA)

    Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure...

    133

    Assumptions to the Annual Energy Outlook 2002 - Household Expenditures...  

    Annual Energy Outlook 2012 (EIA)

    Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and...

    134

    Table WH1. Total Households Using Water Heating Equipment, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Table WH1. Total Households Using Water Heating Equipment, 2005 Million U.S. Households Fuels Used (million U.S. households) Number of Water Heaters Used

    135

    Household energy consumption and expenditures 1987  

    SciTech Connect

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

    Not Available

    1990-01-22T23:59:59.000Z

    136

    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

    137

    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

    138

    Researchers test novel power system for space travel  

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

    Power system for space travel Power system for space travel Researchers test novel power system for space travel The research team recently demonstrated the first use of a heat pipe to cool a small nuclear reactor and power a Stirling engine. November 26, 2012 John Bounds of Los Alamos National Laboratory's Advanced Nuclear Technology Division makes final adjustments on the DUFF experiment, a demonstration of a simple, robust fission reactor prototype that could be used as a power system for space travel. DUFF is the first demonstration of a space nuclear reactor system to produce electricity in the United States since 1965. John Bounds of Los Alamos National Laboratory's Advanced Nuclear Technology Division makes final adjustments on the DUFF experiment, a demonstration of a simple, robust fission reactor prototype that could be used as a power

    139

    Quest Hotel and Travel  

    Science Conference Proceedings (OSTI)

    ... Waterfront. They serve BWI Airport/Amtrak, Penn Station Baltimore, Reagan National Airport and Dulles Airport. Airport ...

    2013-02-21T23:59:59.000Z

    140

    Travel Demand Modeling  

    SciTech Connect

    This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

    Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology

    2011-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "national household travel" 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

    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 ................................................................

    142

    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 ................................................................

    143

    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.

    144

    Residential energy use and conservation actions: analysis of disaggregate household data  

    Science Conference Proceedings (OSTI)

    The Energy Information Administration recently published data they collected from the National Interim Energy Consumption Survey (NIECS). NIECS includes detailed information on 4081 individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances therein, recent conservation actions taken by the household, and fuel consumption and cost for the April 1978 to March 1979 one-year period. This data set provides a new and valuable resource for analysis. The NIECS data on household energy consumption - total energy use, electricity use, and use of the primary space heating fuel, are summarized and analyzed. The regression equations constructed explain roughly half the variation in energy use among households. These equations contain ten or fewer independent variables, the most important of which are fuel price, year house was built, floor area, and heating degree days. Regression equations were developed that estimate the energy saving achieved by each household based on their recent retrofit actions. These equations predict 20 to 40% of the variation among households. Total annual energy use is the most important determinant of retrofit energy saving; other significant variables include age of household head, household income, year house was built, housing tenure, and proxies for the cost of heating and air conditioning the house.

    Hirst, E.; Goeltz, R.; Carney, J.

    1981-03-01T23:59:59.000Z

    145

    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

    146

    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 .....................................

    147

    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

    148

    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 .......................

    149

    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

    150

    Inconsistent pathways of household waste  

    Science Conference Proceedings (OSTI)

    The aim of this study was to provide policy-makers and waste management planners with information about how recycling programs affect the quantities of specific materials recycled and disposed of. Two questions were addressed: which factors influence household waste generation and pathways? and how reliable are official waste data? Household waste flows were studied in 35 Swedish municipalities, and a wide variation in the amount of waste per capita was observed. When evaluating the effect of different waste collection policies, it was found to be important to identify site-specific factors influencing waste generation. Eleven municipal variables were investigated in an attempt to explain the variation. The amount of household waste per resident was higher in populous municipalities and when net commuting was positive. Property-close collection of dry recyclables led to increased delivery of sorted metal, plastic and paper packaging. No difference was seen in the amount of separated recyclables per capita when weight-based billing for the collection of residual waste was applied, but the amount of residual waste was lower. Sixteen sources of error in official waste statistics were identified and the results of the study emphasize the importance of reliable waste generation and composition data to underpin waste management policies.

    Dahlen, Lisa [Division of Waste Science and Technology, Lulea University of Technology, SE, 971 87 Lulea (Sweden)], E-mail: lisa.dahlen@ltu.se; Aberg, Helena [Department of Food, Health and Environment, University of Gothenburg, P.O. Box 12204, SE, 402 42 Gothenburg (Sweden); Lagerkvist, Anders [Division of Waste Science and Technology, Lulea University of Technology, SE, 971 87 Lulea (Sweden); Berg, Per E.O. [HB Anttilator, Stagnellsgatan 3, SE, 652 23, Karlstad (Sweden)

    2009-06-15T23:59:59.000Z

    151

    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

    152

    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 .....................................

    153

    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

    154

    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

    155

    d. volunteer leader travel policy  

    Science Conference Proceedings (OSTI)

    the name of the event, who is attending, and a projected cost for budgetary purposes. The proposed volunteer leader travel budget will be approved by the ...

    156

    PRICM 8: Housing and Travel  

    Science Conference Proceedings (OSTI)

    Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

    157

    1999 EMC: Travel Information - TMS  

    Science Conference Proceedings (OSTI)

    Jul 2, 1999 ... Travel by Train: Amtrak provides daily service from San Francisco and Los Angeles. The station is located in downtown Santa Barbara.

    158

    Travel and Entertainment All Airlines  

    E-Print Network (OSTI)

    , Flying Fields Travel Agencies and Tour Operators Bridge and Road Fees, Tolls Services (Utilities) Wire Institutions Securities Brokers /Dealers Insurance Sales, Underwriting and Premiums Lodging Hotels, Motels

    Castillo, Steven P.

    159

    2 The Financial and Economic Crises: Implications for Consumer Finance and for Households in Michigan  

    E-Print Network (OSTI)

    IPPSR and MSUE at Michigan State University for financial support. This paper was partially written while a Visiting Scholar at the National Poverty Center at the University of Michigan, and its Michigan is an epicenter of the recent economic and financial crises. Median personal income was 8 percent above the national average at the beginning of the decade and was 8 percent below the national average by the end of it. Between 2008 and 2009, personal income fell for the first time since 1958. Rates of unemployment and foreclosure activity remain high and above the national average. Indeed, the Michigan economy is changing in dramatic and important ways, but there is little information on household responses to this changing environment. How are Michigan households responding to economic and financial shocks? Are they smoothing income, consumption, or both? What mechanisms are they using to achieve these outcomes? On which factors does the degree of adjustment depend? Using data collected from recent household surveys,

    Lisa D. Cook; Lisa D. Cook; Ann Marie Schneider; Lauren Meunier; Lisa D. Cook

    2010-01-01T23:59:59.000Z

    160

    Home > Households, Buildings & Industry > Energy Efficiency Page ...  

    U.S. Energy Information Administration (EIA)

    Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7a Glossary U.S. Residential Housing Primary Page Last Revised: July 2009

    Note: This page contains sample records for the topic "national household travel" 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

    Nationwide Survey on Household Energy Use  

    U.S. Energy Information Administration (EIA)

    4 ~ Apartment in house or building divided into 2, 3, or 4 apartments ... of your family (living in your household). Include income from all sources--before taxes

    162

    Home > Households, Buildings & Industry > Energy Efficiency ...  

    U.S. Energy Information Administration (EIA)

    Glossary Home > Households, Buildings & Industry > Energy Efficiency > Residential Buildings Energy Intensities > Table 4 Total Square Feet of U.S. Housing Units

    163

    Home > Households, Buildings & Industry > Energy Efficiency Page ...  

    U.S. Energy Information Administration (EIA)

    Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 5c Glossary U.S. Residential Housing Site Page Last Revised: July 2009

    164

    Residential Energy Usage by Origin of Householder  

    U.S. Energy Information Administration (EIA)

    Home > Energy Users > Residential Home Page > Energy Usage by Origin of Householder. Consumption and Expenditures. NOTE: To View and/or Print PDF's ...

    165

    Home > Households, Buildings & Industry > Energy Efficiency Page ...  

    U.S. Energy Information Administration (EIA)

    Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7b Glossary U.S. Residential Housing Primary Energy Intensity

    166

    Home > Households, Buildings & Industry > Energy Efficiency Page ...  

    U.S. Energy Information Administration (EIA)

    Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 8b Glossary U.S. Residential Buildings Primary Energy Intensity

    167

    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

    168

    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

    169

    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 ..................................................

    170

    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

    171

    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 ..................................................

    172

    PMP-III 2008: Travel - TMS  

    Science Conference Proceedings (OSTI)

    PMP-III: Travel. For Thailand and Bangkok travel information, visit the Tourism Authority of Thailand. AIRORT TRANSPORTATION. Public metered taxi is the ...

    173

    TAKING A TRIP? Travel Management Contracts  

    E-Print Network (OSTI)

    to airline/rail reservations, hotel lodging, airport transportation, and car rentals. #12;TRAVEL MGMT, car rentals, incidentals. Improper usage examples include movies, utility bills, alcohol. Non travel

    Zobin, Nahum

    174

    Elasticities of Electricity Demand in Urban Indian Households  

    E-Print Network (OSTI)

    Energy demand, and in particular electricity demand in India has been growing at a very rapid rate over the last decade. Given, current trends in population growth, industrialisation, urbanisation, modernisation and income growth, electricity consumption is expected to increase substantially in the coming decades as well. Tariff reforms could play a potentially important role as a demand side management tool in India. However, the effects of any price revisions on consumption will depend on the price elasticity of demand for electricity. In the past, electricity demand studies for India published in international journals have been based on aggregate macro data at the country or sub-national / state level. In this paper, price and income elasticities of electricity demand in the residential sector of all urban areas of India are estimated for the first time using disaggregate level survey data for over thirty thousand households. Three electricity demand functions have been estimated using monthly data for the following seasons: winter, monsoon and summer. The results show electricity demand is income and price inelastic in all three seasons, and that household, demographic and geographical variables are important in determining electricity demand, something that is not possible to determine using aggregate macro models alone. Key Words Residential electricity demand, price elasticity, income elasticity Short Title Electricity demand in Indian households Acknowledgements: The authors would like to gratefully acknowledge the National Sample Survey Organisation, Department of Statistics of the Government of India, for making available to us the unit level, household survey data. We would also like to thank Prof. Daniel Spreng for his support of our research. 2 1.

    Shonali Pachauri

    2002-01-01T23:59:59.000Z

    175

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

    Science Conference Proceedings (OSTI)

    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

    176

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

    Science Conference Proceedings (OSTI)

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

    Figueroa, M.J.; Sathaye, J.

    1993-08-01T23:59:59.000Z

    177

    Characterization of household waste in Greenland  

    Science Conference Proceedings (OSTI)

    The composition of household waste in Greenland was investigated for the first time. About 2 tonnes of household waste was sampled as every 7th bag collected during 1 week along the scheduled collection routes in Sisimiut, the second largest town in Greenland with about 5400 inhabitants. The collection bags were sorted manually into 10 material fractions. The household waste composition consisted primarily of biowaste (43%) and the combustible fraction (30%), including anything combustible that did not belong to other clean fractions as paper, cardboard and plastic. Paper (8%) (dominated by magazine type paper) and glass (7%) were other important material fractions of the household waste. The remaining approximately 10% constituted of steel (1.5%), aluminum (0.5%), plastic (2.4%), wood (1.0%), non-combustible waste (1.8%) and household hazardous waste (1.2%). The high content of biowaste and the low content of paper make Greenlandic waste much different from Danish household waste. The moisture content, calorific value and chemical composition (55 elements, of which 22 were below detection limits) were determined for each material fraction. These characteristics were similar to what has been found for material fractions in Danish household waste. The chemical composition and the calorific value of the plastic fraction revealed that this fraction was not clean but contained a lot of biowaste. The established waste composition is useful in assessing alternative waste management schemes for household waste in Greenland.

    Eisted, Rasmus, E-mail: raei@env.dtu.dk [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark); Christensen, Thomas H. [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark)

    2011-07-15T23:59:59.000Z

    178

    Factors influencing county level household fuelwood use  

    Science Conference Proceedings (OSTI)

    This study explains household fuelwood consumption behavior at the county level by linking it to economic and demographic conditions in counties. Using this link, counties are identified where potential fuelwood use problems and benefits are greatest. A probit equation estimates household probability of wood use (percent woodburners in a county heating degree days, household income, nonwood fuel price, fuelwood price, percent forest land, population density, and fraction of households using various types of heating equipment. A linear-in-parameters equation estimates average wood consumed by a woodburner based on county heating degree days, household income, percent forest land, and price of nonwood fuel divided by fuelwood price. Parameters are estimated using fuelwood use data for individual households from a 1908-81 nationwide survey. The probit equation predicts percentage of wood burns well over a wide range of county conditions. The wood consumption equation overpredicts for counties with high income and high population density (over 6000 persons per square mile). The model shows average woodburning per household over all households decreases with increasing population density, and the influence of county economic characteristics varies with density.

    Skog, K.E.

    1986-01-01T23:59:59.000Z

    179

    A Quantum Mechanical Travelling Salesman  

    E-Print Network (OSTI)

    A quantum simulation of a travelling salesman is described. A vector space for a graph is defined together with a sequence of operators which transform a special initial state into a superposition states representing Hamiltonian tours. The quantum amplitude for any tour is a function of the classical cost of travelling along the edges in that tour. Tours with the largest quantum amplitude may be different than those with the smallest classically-computed cost.

    Ravindra N. Rao

    2011-08-23T23:59:59.000Z

    180

    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 .....................................................

    Note: This page contains sample records for the topic "national household travel" 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

    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

    182

    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 .................................................

    183

    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

    184

    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 .................................................

    185

    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 .....................................................

    186

    Comparative analysis of energy data bases for household residential and transportation energy use  

    SciTech Connect

    Survey data bases covering household residential and transportation energy use were reviewed from the perspective of energy policy analysts and data base users. Twenty-three surveys, taken from 1972 to 1985, collected information on household energy consumption and expenditures, energy-using capital stock, and conservation activities. Ten of the surveys covered residential energy use only, including that for space heating and cooling, cooking, water heating, and appliances. Six surveys covered energy use only for household travel in personal vehicles. Seven surveys included data on both of these household energy sectors. Complete energy use data for a household in one year can be estimated only for 1983, using two surveys (one residential and one transportation) taken in the same households. The last nine surveys of the 23 were recent (1983--1985). Review of those nine was based on published materials only. The large-scale surveys generally had less-comprehensive data, while the comprehensive surveys were based on small samples. The surveys were timely and useful for analyzing four types of energy policies: economic regulation, environmental regulation, federal energy production, and direct regulation of energy consumption or production. Future surveys of energy use, such as those of residential energy consumption, should try to link their energy-use questions to large surveys, such as the American Housing Survey, to allow more accurate analysis of comparative impacts of energy policies among population categories of interest (e.g., minority/majority, metropolitan/nonmetropolitan area, census regions, and income class). 78 refs., 9 figs., 29 tabs.

    Teotia, A.; Klein, Y.; LaBelle, S.

    1988-11-01T23:59:59.000Z

    187

    Probit Model Estimation Revisited: Trinomial Models of Household Car Ownership  

    E-Print Network (OSTI)

    Household Ownership of Car Davidon, W. C. (1959) VariableStudy Report 9: Models of Car Ownership and License Holding.Trinomial Models of Household Car Ownership. Transportation

    Bunch, David S.; Kitamura, Ryuichi

    1991-01-01T23:59:59.000Z

    188

    Modeling patterns of hot water use in households  

    E-Print Network (OSTI)

    7 No Dishwashers . . . . . . . .to households without dishwashers. no_cw is only applied towasher; the absence of a dishwasher; a household consisting

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01T23:59:59.000Z

    189

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

    E-Print Network (OSTI)

    Homeownership is both an individual and society objective, because of the positive neighborhood effects associated with areas of higher homeownership. To help realize these positive effects, the Mexican government has several programs directed to increasing homeownership. Many factors, however, may influence homeownership including shocks experienced by households. Shocks such as death in family, illness or accidents, unemployment, and business, crop, or livestock loss affect homeownership if households are unable to cushion the impact of the shock. Government income support programs, however, may help cushion the effect of a shock. The main objective is to determine how shocks 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 homeownership are estimated using data are from the 2002 Mexican National Survey on Living Levels of Households. Two models are estimated; with and without income. Income is excluded because of a large number of households that did not report income. Generally, inferences from the two models are similar. Homeownership appears to not be affected by shocks experienced by households. It appears households are able to cushion the impact of shocks. The two income support programs, the Program of Direct Rural Support of Mexico (PROGRESA) and the Program of Direct Rural Support of Mexico (PROCAMPO), appear to be increasing homeownership. These social welfare programs provide cash transfers to households. For whatever reason, PROGRESA has a larger effect on homeownership than PROCAMPO. Households with older heads have a larger probability of being a homeowner than households with younger heads. No statistically significance relationship exists between education and homeownership. Regional differences are seen in homeownership, with households located in the northwest region having a higher probability of homeownership than other regions. Differences in the significance of variable representing the household head’s gender, marital status, and occupation on homeownership exist between logit models that include and do not include current income. The most likely reason for these differences is interactions between the variables and a wealth effect.

    Lopez Cabrera, Jesus 1977-

    2012-12-01T23:59:59.000Z

    190

    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

    191

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

    DOE Green Energy (OSTI)

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

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

    2011-01-01T23:59:59.000Z

    192

    Urban household energy use in Thailand  

    SciTech Connect

    Changes in household fuel and electricity use that accompany urbanization in Third World countries bear large economic and environmental costs. The processes driving the fuel transition, and the policy mechanisms by which it can be influenced, need to be better understood for the sake of forecasting and planning, especially in the case of electricity demand. This study examines patterns of household fuel use and electrical appliance utilization in Bangkok, Chieng Mai and Ayutthaya, Thailand, based on the results of a household energy survey. Survey data are statistically analyzed using a variety of multiple regression techniques to evaluate the relative influence of various household and fuel characteristics on fuel and appliance choice. Results suggest that changes to the value of women's time in urban households, as women become increasingly active in the labor force, have a major influence on patterns of household energy use. The use of the home for small-scale commercial activities, particularly food preparation, also has a significant influence on fuel choice. In general, household income does not prove to be an important factor in fuel and appliance selection in these cities, although income is closely related to total electricity use. The electricity use of individual household appliances is also analyzed using statistical techniques as well as limited direct metering. The technology of appliance production in Thailand is evaluated through interviews with manufacturers and comparisons of product performance. These data are used to develop policy recommendations for improving the efficiency of electrical appliances in Thailand by relying principally on the dynamism of the consumer goods market, rather than direct regulation. The annual electricity savings from the recommended program for fostering rapid adoption of efficient technologies are estimated to reach 1800 GWh by the year 2005 for urban households alone.

    Tyler, S.R.

    1992-01-01T23:59:59.000Z

    193

    Did Household Consumption Become More Volatile?  

    E-Print Network (OSTI)

    I show that after accounting for predictable variation arising from movements in real interest rates, preferences, income shocks, liquidity constraints and measurement errors, volatility of household consumption in the US increased between 1970 and 2004. For households headed by nonwhite and/or poorly educated individuals, this rise was significantly larger. This stands in sharp contrast with the dramatic fall in instability of the aggregate U.S. economy over the same period. Thus, while aggregate shocks affecting households fell over time, idiosyncratic shocks increased. This finding may lead to significant welfare implications.

    Olga Gorbachev

    2009-01-01T23:59:59.000Z

    194

    Ownership and usage of small passenger vehicles: findings from the 1977 National Personal Transportation Study  

    SciTech Connect

    This report examines current patterns in the ownership and usage of small vehicles by private households. The analysis was conducted to shed additional light on the market potential for smaller, energy efficient vehicles, in particular, electric cars. The 1977 Nationwide Personal Transportation Survey (NPTS) was used to obtain information on the socio-demographic characteristics and the travel and vehicle ownership behavior of US households based on a national probability sample. The issues posed to direct the investigation of small vehicle ownership and use behavior include: the ownership of small vehicles; the proportion of the private vehicle population accounted for by small vehicles; how small and large vehicles compare in terms of physical characteristics and performance and terms of usage; and how small/large vehicle ownership and usage differences are explained by household differences or physical differences in the vehicles themselves. The study's approach to these issues has focused on descriptive data analysis, employing such tools as cross-classification tables, distributions, and graphic displays. (MCW)

    1981-12-01T23:59:59.000Z

    195

    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

    196

    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

    197

    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

    198

    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

    199

    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 ...................................

    200

    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 ......................................

    Note: This page contains sample records for the topic "national household travel" 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

    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 ...................................

    202

    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 ......................................

    203

    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 ...................................

    204

    Secretary Chu to Travel to Houston Today | Department of Energy  

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

    to Travel to Houston Today to Travel to Houston Today Secretary Chu to Travel to Houston Today July 8, 2010 - 12:00am Addthis Washington, D.C. - At the direction of President Obama, as part of the Administration's ongoing oil spill response efforts U.S. Energy Secretary Steven Chu is making his fifth trip to Houston today to continue to help identify strategies for containing the oil and ultimately killing the well. Secretary Chu and his scientific team are coordinating their work with National Incident Commander Admiral Thad Allen, who is leading the administration-wide response and directing all interagency activities. Information on the work that the Secretary, Department of Energy staff and independent scientists have done to date on the oil spill response can be found on DOE's BP Oil Spill page.

    205

    U.S. Household Electricity Report  

    Reports and Publications (EIA)

    Brief analysis reports on the amount of electricity consumed annually by U.S. households for each of several end uses, including space heating and cooling, water heating, lighting, and the operation of more than two dozen appliances.

    Barbara Fichman

    2005-07-14T23:59:59.000Z

    206

    Do Disaster Expectations Explain Household Portfolios?  

    E-Print Network (OSTI)

    use the American Consumer Expenditure Survey (CEX) for consumption ex- penditure information. The data covers the period between 1983 and 2004. The expenditure information is recorded quarterly with approximately 5000 households in each wave. Every...

    Alan, Sule

    207

    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

    208

    NHTS.pub  

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

    Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies National Household Travel Survey...

    209

    [Trip report of travel to Las Vegas to consider specification for the Integrated Data System (IDS) with administrative memos]. Volume 1, FY92--FY93  

    SciTech Connect

    This document is a compilation of travel reports and memorandums that are the results of planning between Los Alamos National Laboratory and Computer Applications Group, Inc.

    Hall, J. [Computer Applications Group, Inc., Carlton, OR (United States)

    1994-12-15T23:59:59.000Z

    210

    Residential energy consumption and expenditure patterns of low-income households in the United States  

    SciTech Connect

    The principal objective of this study is to compare poor and non-poor households with respect to energy consumption and expenditures, housing characteristics, and energy-related behavior. We based our study on an analysis of a national data base created by the US Department of Energy, the 1982-1983 Residential Energy Consumption Survey (RECS). RECS includes detailed information on individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances, recent conservation actions taken by the household, and fuel consumption and costs for April 1982-March 1983. We found a number of statistically significant (at the 0.05 level) differences between the two income groups in terms of demographics, heating/cooling/water heating systems, appliance saturation, the thermal integrity of their home, energy conservation behavior, energy consumption, energy expenditures, and the percentage of income spent on energy costs. For example, the non-poor used 22% more energy and paid 25% more money on utilities than the poor; however, the poor spent 20% more energy per square foot than the non-poor and spent about 25% of their income on energy expenditures, compared to 7% for the non-poor. These differences suggest different approaches that might be taken for targeting energy conservation programs to low-income households. Since the poor's ''energy burden'' is large, informational, technical, and financial assistance to low-income households remains an urgent, national priority. 13 refs., 26 tabs.

    Vine, E.L.; Reyes, I.

    1987-09-01T23:59:59.000Z

    211

    The household energy transition in India and China Shonali Pachauri a,, Leiwen Jiang b  

    E-Print Network (OSTI)

    household surveys. The two countries differ sharply in several respects. Residential energy consumption of national primary energy consumption statistics shows clearly that both India and China are countries energy consumption remains low in both countries, particularly in India. Average energy use is low

    212

    Food practices as situated action: exploring and designing for everyday food practices with households  

    Science Conference Proceedings (OSTI)

    Household food practices are complex. Many people are unable to effectively respond to challenges in their food environment to maintain diets considered to be in line with national and international standards for healthy eating. We argue that recognizing ... Keywords: everyday practice, food, health, situated action

    Rob Comber; Jettie Hoonhout; Aart van Halteren; Paula Moynihan; Patrick Olivier

    2013-04-01T23:59:59.000Z

    213

    Secretary Bodman to Travel to the Middle East to Advance International  

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

    to Travel to the Middle East to Advance to Travel to the Middle East to Advance International Energy Cooperation Secretary Bodman to Travel to the Middle East to Advance International Energy Cooperation January 10, 2008 - 10:23am Addthis WASHINGTON, DC - U.S. Secretary of Energy Samuel W. Bodman next week will embark on a five-nation tour through the Middle East to enhance the United States' relationship with oil-producing nations, promote sustained investment in conventional and alternative energy sources, and encourage improvements in global energy efficiency. Secretary Bodman will depart on Monday, January 14, 2008 and travel to Jordan, Saudi Arabia, United Arab Emirates, Qatar and Egypt. "To increase global energy security, producing and consuming nations alike must make robust investments in a diversity of energy sources, accelerate

    214

    Evaluation of an Urban Travel Training for Older Adults  

    E-Print Network (OSTI)

    of life. Travel training programs designed to increaseevaluation of a travel training program that educated olderservices. Travel training programs that instruct older

    Babka, Rhianna JoIris; Cooper, Jill F.; Ragland, David R.

    2009-01-01T23:59:59.000Z

    215

    DOE Tribal Leader Solar Energy Forum - Travel Fact Sheet | Department...  

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

    Tribal Leader Solar Energy Forum - Travel Fact Sheet DOE Tribal Leader Solar Energy Forum - Travel Fact Sheet Travel Fact Sheet Palm Springs Dec 2011.pdf More Documents &...

    216

    Traveling Between Iranian and American Identities  

    E-Print Network (OSTI)

    D aily life in Shiraz, Iran Traveling Between Iranian andpudding (samanu) symbolic of Iran’s 2000-year-old culturalwriters and my travels to Iran during the past summer. As an

    Pazargadi, Leila

    2007-01-01T23:59:59.000Z

    217

    Plasma Colloquium Travel Grant Program  

    SciTech Connect

    OAK B188 Plasma Colloquium Travel Grant Program. The purpose of the Travel Grant Program is to increase the awareness of plasma research. The new results and techniques of plasma research in fusion plasmas, plasma processing space plasmas, basic plasma science, etc, have broad applicability throughout science. The benefits of these results are limited by the relatively low awareness and appreciation of plasma research in the larger scientific community. Whereas spontaneous interactions between plasma scientists and other scientists are useful, a focused effort in education and outreach to other scientists is efficient and is needed. The academic scientific community is the initial focus of this effort, since that permits access to a broad cross-section of scientists and future scientists including undergraduates, graduate students, faculty, and research staff.

    Hazeltine, R.D.

    1998-09-14T23:59:59.000Z

    218

    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

    219

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

    Science Conference Proceedings (OSTI)

    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

    220

    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

    Note: This page contains sample records for the topic "national household travel" 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

    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

    222

    ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY...  

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

    2011 to four percent in 2012 and the proportion informed by their lender increased from zero percent in 2011 to one percent in 2012. All other responses were statistically...

    223

    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.

    224

    Travel  

    Science Conference Proceedings (OSTI)

    ... Train - Amtrak runs to the Rockville and Union Station stops, from which you can get on the Metro and take the Red line to Shady Grove, from which ...

    2013-03-23T23:59:59.000Z

    225

    Analysis of Auto Travel Demand Elasticities.pub  

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

    vehicles. The elasticities with regard to income are similar for urban and rural households. However, fuel price elasticity is smaller for urban households, compared to the...

    226

    Model documentation: household model of energy  

    Science Conference Proceedings (OSTI)

    The Household Model of Energy is an econometric model, meaning that energy use is determined quantitatively with the use of economic variables such as fuel prices and income. HOME is also primarily a structural model, meaning that energy use is determined as the result of interactions of intermediate components such as the number of households, the end use fuel shares and the energy use per household. HOME forecasts energy consumption in all occupied residential structures (households) in the United States on an annual basis through 1990. The forecasts are made based upon a number of initial conditions in 1980, various estimated elasticities, various parameters and assumptions, and a set of forecasted fuel prices and income. In addition to the structural detail, HOME operates on a more disaggregated level. This includes four end-use services (space heating, water heating, air conditioning, and others), up to seven fuel/technology types (dependent upon the end use service), two housing types, four structure vintages, and four Census regions. When the model is run as a module in IFFS, a sharing scheme further disaggregates the model to 10 Federal regions.

    Holte, J.A.

    1984-02-01T23:59:59.000Z

    227

    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.

    228

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

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

    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...

    229

    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

    230

    Essays on household decision making in developing countries  

    E-Print Network (OSTI)

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

    Berry, James W. (James Wesley)

    2009-01-01T23:59:59.000Z

    231

    Development of the Household Sample for Furnace and Boiler Life...  

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

    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...

    232

    National Fuel Cell Electric Vehicle Learning Demonstration Final...  

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

    national daily average miles traveled. An effective 40-mile electric range would allow electrification of more than two-thirds of the Learning Demonstration vehicle miles and...

    233

    Load Component Database of Household Appliances and Small Office Equipment  

    Science Conference Proceedings (OSTI)

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

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

    2008-07-24T23:59:59.000Z

    234

    Secretary Bodman Travels to the Middle East | Department of Energy  

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

    the Middle East the Middle East Secretary Bodman Travels to the Middle East November 10, 2005 - 2:22pm Addthis Four-nation swing to emphasize domestic energy needs and goals WASHINGTON, DC - Secretary of Energy Samuel W. Bodman embarked upon a four-nation tour through the Middle East to enhance the United States' relationship with major oil-producing nations, promote economic liberalization and increased foreign investment in the region, and reaffirm U.S. energy policy goals. "Both consumers and producers of energy depend on a vibrant, growing world economy. By working together we can increase the energy and economic security of the United States and our international partners and pursue continued growth and prosperity in developed and developing nations," Secretary Bodman said.

    235

    Is Interstellar Space Travel Possible?  

    E-Print Network (OSTI)

    It is shown that space travel, even in the most distant future, will remain confined to our own planetary system, and a similar conclusion will hold forth for any other civilization, no matter how advanced it might be, unless those extra-terrestrial species have life spans order of magnitude longer than ours. Even in such a case it is unlikely that they will travel much farther than their immediate stellar neighbourhood, as each such excursion will exhaust the resources of their home planet so much that those will dwindle rather fast and there might not be much left for the further scientific and technological advancements. So the science-fiction fancy of a "Galactic Empire" may ever remain in our fantasies only. And as for the mythical UFOs, whose quiet appearances do get reported in the press once in a while, recent explorations have shown no evidence that any such thing could have an origination within our own solar system itself. And a "quiet trip" back and forth from a distant star is almost impossible a...

    Singal, Tanmay

    2013-01-01T23:59:59.000Z

    236

    Structural Equation Modeling For Travel Behavior Research  

    E-Print Network (OSTI)

    variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

    Golob, Thomas F.

    2001-01-01T23:59:59.000Z

    237

    Structural Equation Modeling for Travel Behavior Research  

    E-Print Network (OSTI)

    variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

    Golob, Thomas F.

    2001-01-01T23:59:59.000Z

    238

    Structural Equation Modeling For Travel Behavior Research  

    E-Print Network (OSTI)

    variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

    Golob, Thomas F.

    2011-01-01T23:59:59.000Z

    239

    2003 TMS Annual Meeting: Travel Information  

    Science Conference Proceedings (OSTI)

    This service accesses all major airlines and Amtrak. Public buses, trolleys, and coasters provide transportation throughout the city and county with travel to and ...

    240

    Household carbon dioxide production in relation to the greenhouse effect  

    SciTech Connect

    A survey of 655 households from eastern suburbs of Melbourne was undertaken to determine householders[prime] attitudes to, and understanding of, the greenhouse effect. Carbon dioxide emissions resulting from car, electricity and gas use were computed and household actions which could reduce CO[sub 2] emissions were addressed. Preliminary analysis of the results indicates that householders in this area are aware of, and concerned about, the greenhouse effect, although their understanding of its causes is often poor. Many appreciate the contribution of cars, but are unclear about the relative importance of other household activities. Carbon dioxide emissions from the three sources examined averaged 21[center dot]2 tonnes/year per household and 7[center dot]4 tonnes/year per person. Electricity was the largest contributor (8[center dot]6 tonnes/year), cars the next largest (7[center dot]7 tonnes/year) and gas third (5[center dot] tonnes/year) per household. Emissions varied considerably from household to household. There was a strong positive correlation between availability of economic resources and household CO[sub 2] output from all sources. Carbon dioxide production, particularly from car use, was greater from households which were most distant from a railway station, and from larger households, and numbers of children in the household had little effect on emissions. There were also some economics of scale for households containing more adults. Understanding the causes of the greenhouse bore little relation to change in CO[sub 2] emissions; being concerned about it was associated with a small reduction; but actual actions to reduce car use and household heating, however motivated, produced significant reductions. 12 refs., 9 figs., 6 tabs.

    Stokes, D.; Lindsay, A.; Marinopoulos, J.; Treloar, A.; Wescott, G. (Deakin Univ., Clayton (Australia))

    1994-03-01T23:59:59.000Z

    Note: This page contains sample records for the topic "national household travel" 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

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

    E-Print Network (OSTI)

    Efficiency of Household Appliances in China Jiang Lin8 Appliance Market inEfficiency of Household Appliances in China Executive

    Lin, Jiang

    2006-01-01T23:59:59.000Z

    242

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

    E-Print Network (OSTI)

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

    Turrentine, Thomas; Kurani, Kenneth

    1995-01-01T23:59:59.000Z

    243

    Energy Secretary Bodman Travels to Moscow, Baku, Kiev to Discuss Energy and  

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

    Travels to Moscow, Baku, Kiev to Discuss Travels to Moscow, Baku, Kiev to Discuss Energy and Nuclear Security Energy Secretary Bodman Travels to Moscow, Baku, Kiev to Discuss Energy and Nuclear Security May 20, 2005 - 12:49pm Addthis Trip Will Focus on World Energy Security, Energy Resource Development, and Nuclear Nonproliferation WASHINGTON, DC -- Secretary of Energy Samuel Bodman next week will travel to Moscow, Russia; Baku, Azerbaijan; and Kiev, Ukraine, where he will hold discussions with senior officials on a variety of energy and nuclear safety issues, including encouraging the development of diverse energy resources, promoting market transparency and investment, and advancing nuclear nonproliferation. "A healthy, vibrant and transparent global energy market is critical to the economic success of America and all nations," Secretary Bodman said.

    244

    Rebound 2007: Analysis of U.S. Light-Duty Vehicle Travel Statistics  

    SciTech Connect

    U.S. national time series data on vehicle travel by passenger cars and light trucks covering the period 1966 2007 are used to test for the existence, size and stability of the rebound effect for motor vehicle fuel efficiency on vehicle travel. The data show a statistically significant effect of gasoline price on vehicle travel but do not support the existence of a direct impact of fuel efficiency on vehicle travel. Additional tests indicate that fuel price effects have not been constant over time, although the hypothesis of symmetry with respect to price increases and decreases is not rejected. Small and Van Dender (2007) model of a declining rebound effect with income is tested and similar results are obtained.

    Greene, David L [ORNL

    2010-01-01T23:59:59.000Z

    245

    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

    246

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

    SciTech Connect

    Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23T23:59:59.000Z

    247

    Householder’s Perceptions of Insulation Adequacy and Drafts in the Home in 2001  

    E-Print Network (OSTI)

    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 newlyconstructed 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 drafty than are apartments in buildings with two to four units. Cross-variable comparisons also provide the associations between the level of insulation and winter drafts in the homes with household characteristics and location of the home.

    Behjat Hojjati

    2004-01-01T23:59:59.000Z

    248

    TRAVEL POLICY AND UMBC #VIII-11.00.01  

    E-Print Network (OSTI)

    be utilized whenever possible for airline, train or bus tickets as well as hotel accommodations and car Reimbursements Ticketing Hotel Reservations Meals Travel by Car Travel by Private Airplane Travel Advances

    Maryland, Baltimore County, University of

    249

    Household Markets for Neighborhood Electric Vehicles in California  

    E-Print Network (OSTI)

    electric vehicles designed for local, neighborhood travel How we are funded — Calstart: a consortium of private industry,

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

    1995-01-01T23:59:59.000Z

    250

    Professional Preface, 8 (2): Traveling to Seattle! - TMS  

    Science Conference Proceedings (OSTI)

    Traveling to Seattle! TMS and its technical divisions are proud to again offer the Student Travel Scholarship Program. Three technical divisions, Electronic, ...

    251

    Secretary Chu and Energy Department Officials to Travel Across...  

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

    Travel Across America to Discuss the Obama Administration's Commitment to Energy Innovation and Manufacturing Secretary Chu and Energy Department Officials to Travel Across America...

    252

    A Set of Comparable Carbon Footprints for Auto, Truck and Transit Travel in Metropolitan America  

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

    Set of Comparable Carbon Footprints for Highway Travel in Set of Comparable Carbon Footprints for Highway Travel in Metropolitan America by Frank Southworth* and Anthon Sonnenberg** August 31, 2009 *Corresponding author: Senior R&D Staff, Oak Ridge National Laboratory and Principal Research Scientist Georgia Institute of Technology 790 Atlantic Drive SEB Building, Room 324 Atlanta, GA 30332-0355 E-mail: frank.southworth@ce.gatech.edu ** PhD Student, Georgia Institute of Technology School of Civil and Environmental Engineering Georgia Institute of Technology 1 Abstract The authors describe the development of a set of carbon dioxide emissions estimates for highway travel by automobile, truck, bus and other public transit vehicle movements within the nation's 100 largest metropolitan areas, in calendar year 2005. Considerable variability is found to exist

    253

    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

    254

    Towards sustainable household energy use in the Netherlands, Int  

    E-Print Network (OSTI)

    Abstract: Households consume direct energy, using natural gas, heating oil, gasoline and electricity, and consume indirect energy, the energy related to the production of goods and the delivery of services for the households. Past trends and present-day household energy use (direct and indirect) are analysed and described. A comparison of these findings with objectives concerning ecological sustainability demonstrates that present-day household energy use is not sustainable. A scenario towards sustainable household energy use is designed containing far-reaching measures with regard to direct energy use. Scenario evaluation shows a substantial reduction of direct energy use; however, this is not enough to meet the sustainability objectiv es. Based on these results, the possibilities and the limitations are discussed to enable households to make their direct and indirect energy use sustainable on the long run.

    Jack Van Der Wal; Henri C. Moll

    2001-01-01T23:59:59.000Z

    255

    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

    256

    Barriers to household investment in residential energy conservation: preliminary assessment  

    Science Conference Proceedings (OSTI)

    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

    257

    Household Responses to the Financial Crisis in Indonesia  

    E-Print Network (OSTI)

    on farm households in Indonesia and Thailand,” World Bank20. Cameron, Lisa. (1999). “Indonesia: a quarterly review,”The Real Costs of Indonesia's Economic Crisis: Preliminary

    Thomas, Duncan; Frankenberg, Elizabeth

    2005-01-01T23:59:59.000Z

    258

    Answers to Frequently Asked Questions About the Household Bottled ...  

    U.S. Energy Information Administration (EIA)

    Form EIA-457D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey

    259

    Essays on the effects of demographics on household consumption.  

    E-Print Network (OSTI)

    ??My dissertation analyses the relationship between households' consumption behavior and changes in family demographic characteristics. The first paper studies consumption over the period of the… (more)

    Stepanova, Ekaterina, 1977-

    2006-01-01T23:59:59.000Z

    260

    Table 1. Household Characteristics by Ceiling Fans, 2001  

    U.S. Energy Information Administration (EIA)

    A reporting of the number of housing units using ceiling fans in U.S. households as reported in the 2001 Residential Energy Consumption Survey

    Note: This page contains sample records for the topic "national household travel" 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

    U.S. households are incorporating energy–efficient features ...  

    U.S. Energy Information Administration (EIA)

    ... area of increased efficiency: about 60% of households use at least some energy-efficient compact fluorescent (CFL) or light-emitting diode (LED) ...

    262

    Analysis of the energy requirement for household consumption.  

    E-Print Network (OSTI)

    ??Humans in households use energy for their activities. This use is both direct, for example electricity and natural gas, but also indirect, for the production,… (more)

    Vringer, Kees

    2005-01-01T23:59:59.000Z

    263

    Householder's Perceptions of Insulation Adequacy and Drafts in the ...  

    U.S. Energy Information Administration (EIA)

    The 2001 RECS was the first RECS to request household perceptions regarding the presence of winter drafts in the home. The data presented in this report ...

    264

    1997 Residential Energy Consumption and Expenditures per Household ...  

    U.S. Energy Information Administration (EIA)

    Return to: Residential Home Page . Changes in the 1997 RECS: Housing Unit Type Per Household Member Per Building Increase. Residential Energy Consumption ...

    265

    Answers to Frequently Asked Questions About the Household ...  

    U.S. Energy Information Administration (EIA)

    Form EIA-457E (2001) – Household Electricity Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey

    266

    Appliance Commitment for Household Load Scheduling  

    Science Conference Proceedings (OSTI)

    This paper presents a novel appliance commitment algorithm that schedules thermostatically-controlled household loads based on price and consumption forecasts considering users comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem was described in the paper using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load was modeled by physical models; random hot water consumption was modeled with statistical methods. The models were used to predict the appliance operation over the scheduling time horizon. User comfort was transformed to a set of linear constraints. Then, a novel linear, sequential, optimization process was used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.

    Du, Pengwei; Lu, Ning

    2011-06-30T23:59:59.000Z

    267

    In-vessel composting of household wastes  

    Science Conference Proceedings (OSTI)

    The process of composting has been studied using five different types of reactors, each simulating a different condition for the formation of compost; one of which was designed as a dynamic complete-mix type household compost reactor. A lab-scale study was conducted first using the compost accelerators culture (Trichoderma viridae, Trichoderma harzianum, Trichorus spirallis, Aspergillus sp., Paecilomyces fusisporus, Chaetomium globosum) grown on jowar (Sorghum vulgare) grains as the inoculum mixed with cow-dung slurry, and then by using the mulch/compost formed in the respective reactors as the inoculum. The reactors were loaded with raw as well as cooked vegetable waste for a period of 4 weeks and then the mulch formed was allowed to maturate. The mulch was analysed at various stages for the compost and other environmental parameters. The compost from the designed aerobic reactor provides good humus to build up a poor physical soil and some basic plant nutrients. This proves to be an efficient, eco-friendly, cost-effective, and nuisance-free solution for the management of household solid wastes.

    Iyengar, Srinath R. [Civil and Environmental Engineering Department, V.J. Technological Institute, H.R. Mahajani Road, Matunga, Mumbai 400 019 (India)]. E-mail: srinathrangamani@yahoo.com; Bhave, Prashant P. [Civil and Environmental Engineering Department, V.J. Technological Institute, H.R. Mahajani Road, Matunga, Mumbai 400 019 (India)]. E-mail: drppbhave@vsnl.net

    2006-07-01T23:59:59.000Z

    268

    'Fun with Science' travels north to Alaska  

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

    312science 12132012 'Fun with Science' travels north to Alaska Linda A Lucchetti, LLNL, (925) 422-5815, lucchetti1@llnl.gov Printer-friendly Students in Noorvik, Alaska...

    269

    TrojanTravel2014 Mystical Bhutan  

    E-Print Network (OSTI)

    SCierge Service .....24 Attention Crystal Cruisers ..............24 University Travel Disclaimer ............ 25 in russia's Far east and the Aleutian Islands. our other trips include an Amazon river cruise, a month

    Zhou, Chongwu

    270

    The domestic travel sector in China  

    E-Print Network (OSTI)

    China is already the largest domestic tourism market in the world. Chinese citizens made as many as 800 million overnight domestic trips in 2005. While travel is not a new concept in China, the disposable income they wield, ...

    Anders, Jeff, M.B.A. Massachusetts Institute of Technology

    2007-01-01T23:59:59.000Z

    271

    2002 TMS Annual Meeting & Exhibition: Travel Information  

    Science Conference Proceedings (OSTI)

    It is one of five stops along the electric bus tunnel that serves downtown Seattle. ... Washington State Convention & Trade Center (~1.11 Mb); Sheraton Seattle ... These special rates are applicable for travel from the continental United States.

    272

    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

    273

    Tiny travelers from deep space could assist in healing Fukushima's  

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

    Fukushima Daiichi nuclear reactors Fukushima Daiichi nuclear reactors Tiny travelers from deep space could assist in healing Fukushima's nuclear scar Researchers have devised a method to use cosmic rays to gather detailed information from inside the damaged cores of the Fukushima Daiichi nuclear reactors. October 17, 2012 Los Alamos National Laboratory Muon Radiography team members stand in front of the damaged Fukushima Daiichi reactor complex during a visit to determine evaluate whether Los Alamos' Scattering Method for cosmic-ray radiography could be used to image the location of nuclear materials within the reactor buildings. Los Alamos National Laboratory Muon Radiography team members stand in front of the damaged Fukushima Daiichi reactor complex during a visit to determine evaluate whether Los Alamos' Scattering Method for cosmic-ray

    274

    Secretary Bodman Travels to Saudi Arabia to Discuss Global Energy  

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

    Saudi Arabia to Discuss Global Energy Saudi Arabia to Discuss Global Energy Investments Secretary Bodman Travels to Saudi Arabia to Discuss Global Energy Investments January 19, 2007 - 10:38am Addthis Furthers Strategic Energy Dialogue between the Nations and Highlights U.S. - Saudi Scientific Innovation RIYADH, SAUDI ARABIA - U.S. Secretary of Energy Samuel W. Bodman today continued his six-nation visit to the Middle East and Europe with a two-day stop in Saudi Arabia where he met with Saudi Arabia's Minister of Petroleum and Mineral Resources Ali Ibrahim Al-Naimi to discuss joint energy cooperation. Secretary Bodman also toured the King Abdul-Aziz City for Science and Technology (KACST) and will tour the King Abdullah University of Science and Technology during his visit. "The United States and Saudi Arabia enjoy a relationship of global

    275

    DOE O 551.1D, Official Foreign Travel  

    Directives, Delegations, and Requirements

    The order establishes requirements and responsibilities governing official foreign travel by Federal and contractor employees.

    2012-04-02T23:59:59.000Z

    276

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

    E-Print Network (OSTI)

    EPRI EA-3409, "Household Appliance Choice: Revision of REEPSEA",3409: "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPSreport EA-3409, "Household Appliance Choice: Revi- sion of

    Wood, D.J.

    2010-01-01T23:59:59.000Z

    277

    Simulating household activities to lower consumption peaks: demonstration  

    Science Conference Proceedings (OSTI)

    Energy experts need fine-grained dynamics oriented tools to investigate household activities in order to improve power management in the residential sector. This paper presents the SMACH framework for modelling, simulating and analy- sis of household ... Keywords: agent-based modelling, energy, social simulation

    Edouard Amouroux, Francois Sempé, Thomas Huraux, Nicolas Sabouret, Yvon Haradji

    2013-05-01T23:59:59.000Z

    278

    Elements of consumption: an abstract visualization of household consumption  

    Science Conference Proceedings (OSTI)

    To promote sustainability consumers must be informed about their consumption behaviours. Ambient displays can be used as an eco-feedback technology to convey household consumption information. Elements of Consumption (EoC) demonstrates this by visualizing ... Keywords: a-life, eco-feedback, household consumption, sustainability

    Stephen Makonin; Philippe Pasquier; Lyn Bartram

    2011-07-01T23:59:59.000Z

    279

    Identify Strategies to Reduce Business Travel for Greenhouse Gas Mitigation  

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

    Strategies to Reduce Business Travel for Greenhouse Gas Strategies to Reduce Business Travel for Greenhouse Gas Mitigation Identify Strategies to Reduce Business Travel for Greenhouse Gas Mitigation October 7, 2013 - 1:34pm Addthis YOU ARE HERE The tables below illustrate some of the more common strategies that can enable employees to travel less and travel more efficiently for business. The "Purpose of Travel" analysis in the previous step can be used with the guidance below to help determine what type of trips may be most appropriately substituted with each business travel alternative. Table 1. Strategies that Enable Employees to Travel Less Business Travel Strategy Best Potential Application Best Practices Web meetings/webinars, including option for video Purpose of travel: training, conferences.

    280

    Alternative Fuels Data Center: State Employee Travel Policy  

    Alternative Fuels and Advanced Vehicles Data Center (EERE)

    State Employee Travel State Employee Travel Policy to someone by E-mail Share Alternative Fuels Data Center: State Employee Travel Policy on Facebook Tweet about Alternative Fuels Data Center: State Employee Travel Policy on Twitter Bookmark Alternative Fuels Data Center: State Employee Travel Policy on Google Bookmark Alternative Fuels Data Center: State Employee Travel Policy on Delicious Rank Alternative Fuels Data Center: State Employee Travel Policy on Digg Find More places to share Alternative Fuels Data Center: State Employee Travel Policy on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type State Employee Travel Policy All state agencies and institutions must develop and adopt travel policies that include strategies to reduce petroleum consumption, such as carpooling

    Note: This page contains sample records for the topic "national household travel" 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

    Characteristics of Travellers from Bosnia and Herzegovina to Africa  

    E-Print Network (OSTI)

    Introduction: Travellers from Bosnia and Herzegovina (B&H) travel to different world countries. The awareness of people is changing every day and nowadays travellers seek advices related to their travel and destination more often than before. In the previous years, travellers came to Travel Clinics almost only to get the vaccines which were obligatory for entry into a country. In B&H travel clinics are a part of public health institutes. The largest Travel Clinic which provides service for the highest number of travellers is in the Public Health Institute of Sarajevo Canton, in the city of Sarajevo, which is the capital of B&H. In the last years we have seen an increasing interest for travel to Africa because the highest number of

    unknown authors

    2013-01-01T23:59:59.000Z

    282

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

    SciTech Connect

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

    Eisenberg, Joel Fred [ORNL

    2008-06-01T23:59:59.000Z

    283

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

    SciTech Connect

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

    Eisenberg, Joel Fred [ORNL

    2008-06-01T23:59:59.000Z

    284

    Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households by Household Income, 2001 RSE Column Factor: Total 2001 Household Income Below Poverty

    285

    About Carlson Wagonlit Travel (CWT) CWT is a global leader specialized in managing business travel and  

    E-Print Network (OSTI)

    AT&T network for consistent, high-quality voice and data communication. Home-based travel counselors&T remote access service connects home-based travel counselors to the CWT global network · Business Value Reliable connections enable cost-effective, customer- pleasing home-based work while handling traffic

    Greenberg, Albert

    286

    Household appliance choice: revision of REEPS behavioral models. Final report  

    Science Conference Proceedings (OSTI)

    This report describes the analysis of household decisions to install space heating, central cooling, and water heating in new housing as well as decisions to own freezers and second refrigerators. This analysis was conducted as part of the enhancements to the Residential End-Use Energy Planning System (REEPS) under EPRI project RP1918-1. The empirical models used in this analysis were the multinomial logit and its generalization the nested logit. The choice model parameters were estimated statistically on national and regional survey data. The results show that capital and operating costs are significant determinants of appliance market penetrations, and the relative magnitudes of the cost coefficients imply discount rates ranging from 3.4 to twenty-one percent. Several tests were conducted to examine the temporal and geographical stability of the key parameters. The estimated parameters have been incorporated into the REEPS computer code. The revised version of REEPS is now available on a limited release basis to EPRI member utilities for testing on their system.

    Goett, A.A.

    1984-02-01T23:59:59.000Z

    287

    Table AC1. Total Households Using Air-Conditioning Equipment, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Table AC1. Total Households Using Air-Conditioning Equipment, 2005 Million U.S. Households Type of Air-Conditioning Equipment (millions) Central System

    288

    Table SH1. Total Households Using a Space Heating Fuel, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Total Households Using a Space Heating Fuel, 2005 Million U.S. Households Using a Non-Major Fuel 5 ... Space Heating (millions) Energy Information Administration

    289

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

    E-Print Network (OSTI)

    1994) Demand for Electric Vehicles in Hybrid Households: A nand the Household Electric Vehicle Market: A Constraintsthe mar- ket for electric vehicles in California. Presented

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01T23:59:59.000Z

    290

    Table CE2-3c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household4,a Physical Units of Space-Heating Consumption per Household,3 Where the Main Space-Heating Fuel Is:

    291

    Table CE2-7c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

    292

    Table CE2-12c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

    293

    Table CE2-4c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

    294

    Table CE2-7c. Space-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Physical Units (PU) per Household3 Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

    295

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

    E-Print Network (OSTI)

    of Household Income and Appliance Ownership. ECEEE Summerof decreasing prices of appliances, if price data becomesForecasting Household Appliance Ownership in a Growing

    Letschert, Virginie

    2010-01-01T23:59:59.000Z

    296

    Travelling waves in hybrid chemotaxis models  

    E-Print Network (OSTI)

    Hybrid models of chemotaxis combine agent-based models of cells with partial differential equation models of extracellular chemical signals. In this paper, travelling wave properties of hybrid models of bacterial chemotaxis are investigated. Bacteria are modelled using an agent-based (individual-based) approach with internal dynamics describing signal transduction. In addition to the chemotactic behaviour of the bacteria, the individual-based model also includes cell proliferation and death. Cells consume the extracellular nutrient field (chemoattractant) which is modelled using a partial differential equation. Mesoscopic and macroscopic equations representing the behaviour of the hybrid model are derived and the existence of travelling wave solutions for these models is established. It is shown that cell proliferation is necessary for the existence of non-transient (stationary) travelling waves in hybrid models. Additionally, a numerical comparison between the wave speeds of the continuum models and the hybr...

    Franz, Benjamin; Painter, Kevin J; Erban, Radek

    2013-01-01T23:59:59.000Z

    297

    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

    298

    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.

    299

    Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1,000 for conference travel, including  

    E-Print Network (OSTI)

    Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1 for either a poster or oral presentation at the conference. 6. The research to be presented must be nano will not be considered. 10.Travel awards will be decided by a committee of CNM-affiliated faculty. #12;Nano Portfolio

    Ben-Yakar, Adela

    300

    Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1,000 for conference travel, including  

    E-Print Network (OSTI)

    Nano Portfolio student travel award guidelines 1. Travel grants will be made up to $1. The research to be presented must be nano-related. 7. The award cannot be used to subsidize conference travel: ____________________________ Department: ___________________ Years in graduate school: __________________ Years in Nano Doctoral Por

    Ben-Yakar, Adela

    Note: This page contains sample records for the topic "national household travel" 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

    Road less traveled vital to operational success  

    Science Conference Proceedings (OSTI)

    PNNL's Monthly Economic Diversity column for the Tri-City Herald Business section. Excerpt follows: Things aren't always what they seem. Sometimes the path less traveled--although it can be exhausting if not scary to think about navigating its unknowns--really is the best way to go. And not just because Robert Frost said so. Patric Sazama, Regional Project Director for Impact Washington, would agree as well. He recently spoke to the Three Rivers Entrepreneur Network about achieving operational success by addressing the less tangible elements of an organization, the company's own less traveled path.

    Madison, Alison L.

    2012-01-08T23:59:59.000Z

    302

    Greenhouse Gas Mitigation Planning for Business Travel | Department of  

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

    Business Travel Business Travel Greenhouse Gas Mitigation Planning for Business Travel October 7, 2013 - 1:20pm Addthis Business travel is among the largest sources of Scope 3 greenhouse gas (GHG) emissions accounted for by Federal agencies. For some agencies, business travel can represent up to 60% of Scope 3 emissions, but represents about 20% of Scope 3 emissions for the Federal sector as whole. While other emissions categories have been the focus of efficiency improvements for several years, few agencies have been actively planning to manage business travel for GHG reduction purposes. Travel management due to budgetary constraints has typically been more common for Federal agencies in the past. Because air travel emissions are the biggest source of travel emissions for most agencies, this guidance focuses on planning for

    303

    Measurement of nicotine in household dust  

    Science Conference Proceedings (OSTI)

    An analytical method of measuring nicotine in house dust was optimized and associations among three secondhand smoking exposure markers were evaluated, i.e., nicotine concentrations of both house dust and indoor air, and the self-reported number of cigarettes smoked daily in a household. We obtained seven house dust samples from self-reported nonsmoking homes and 30 samples from smoking homes along with the information on indoor air nicotine concentrations and the number of cigarettes smoked daily from an asthma cohort study conducted by the Johns Hopkins Center for Childhood Asthma in the Urban Environment. House dust nicotine was analyzed by isotope dilution gas chromatography-mass spectrometry (GC/MS). Using our optimized method, the median concentration of nicotine in the dust of self-reported nonsmoking homes was 11.7 ng/mg while that of smoking homes was 43.4 ng/mg. We found a substantially positive association (r=0.67, P<0.0001) between house dust nicotine concentrations and the numbers of cigarettes smoked daily. Optimized analytical methods showed a feasibility to detect nicotine in house dust. Our results indicated that the measurement of nicotine in house dust can be used potentially as a marker of longer term SHS exposure.

    Kim, Sungroul [Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Institute for Global Tobacco Control, 627 N. Washington Street, 2nd Floor Baltimore, MD 21205 (United States); Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States)], E-mail: srkim@jhsph.edu; Aung, Ther; Berkeley, Emily [Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States); Diette, Gregory B. [Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States); Department of Medicine, Johns Hopkins University School of Medicine (United States); Breysse, Patrick N. [Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States)

    2008-11-15T23:59:59.000Z

    304

    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

    305

    Transmission line protection based on travelling waves  

    Science Conference Proceedings (OSTI)

    Major problem of tripping signal of a relay based on steady state component does not warranty faster tripping schemes for protection of extra high voltage transmission lines. Proposed work has made an attempt to find solution to the problem of fault ... Keywords: postfault voltage, relaying signals, surge impedence, transmission line protection, travelling waves

    Anuradha S. Deshpande; Grishma S. Shah

    2011-12-01T23:59:59.000Z

    306

    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.

    307

    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.

    308

    Profiling energy use in households and office spaces  

    Science Conference Proceedings (OSTI)

    Energy consumption is largely studied in the context of different environments, such as domestic, corporate, industrial, and public sectors. In this paper, we discuss two environments, households and office spaces, where people have an especially ...

    Salman Taherian; Marcelo Pias; George Coulouris; Jon Crowcroft

    2010-04-01T23:59:59.000Z

    309

    Household Preferences for Supporting Renewable Energy, and Barriers...  

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

    Household Preferences for Supporting Renewable Energy, and Barriers to Green Power Demand Speaker(s): Ryan Wiser Date: May 9, 2002 - 12:00pm Location: Bldg. 90 Nearly 40% of the...

    310

    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 Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar HostPoint of...

    311

    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

    312

    A Theoretical Basis for Household Energy Conservation UsingProduct...  

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

    A Theoretical Basis for Household Energy Conservation Using Product-Integrated Feedback Speaker(s): Teddy McCalley Date: October 11, 2002 - 12:00pm Location: Bldg. 90 Seminar Host...

    313

    Forecasting 65+ travel : an integration of cohort analysis and travel demand modeling  

    E-Print Network (OSTI)

    Over the next 30 years, the Boomers will double the 65+ population in the United States and comprise a new generation of older Americans. This study forecasts the aging Boomers' travel. Previous efforts to forecast 65+ ...

    Bush, Sarah, 1973-

    2003-01-01T23:59:59.000Z

    314

    A Review and Discussion of the Literature on Travel Time and Money Expenditures  

    E-Print Network (OSTI)

    Expenditure of Time and Money on Travel. Transport RoadExpenditure of Time and Money on Travel. Transp. Research6 I.2.4.2. Travel Money Expenditure …………………………………………………………..

    Chen, Cynthia; Mokhtarian, Patricia

    2008-01-01T23:59:59.000Z

    315

    Advanced Information Techniques And Paratransit Services To Enhance Mobility Of Elderly And Disabled Travelers  

    E-Print Network (OSTI)

    Mobility of Elderly and Disabled Travelers: Initial SurveyKEYWORDS elderly and disabled travelers, transit,to Enhance Mobility of Disabled Travelers. Klaver, K, W.

    Chen, Wan-Hui; Klaver, Kelley; Uwaine, Rochelle; Jovanis, Paul P.

    1998-01-01T23:59:59.000Z

    316

    Exact solutions to combinatorial optimizations and the traveling baseball fan problem.  

    E-Print Network (OSTI)

    ?? The traveling baseball fan problem is an extension of the classic traveling salesman problem, in which a sports fan wishes to travel to the… (more)

    Terrell, Neal D.

    2013-01-01T23:59:59.000Z

    317

    Implementing Innovation in Planning Practice: The Case of Travel Demand Forecasting  

    E-Print Network (OSTI)

    Urban Travel Demand Forecasting Project. Institute ofTRB. Metropolitan Travel Forecasting: Current Practice andPurvis. Regional Travel Forecasting Model System for the San

    Newmark, Gregory Louis

    2011-01-01T23:59:59.000Z

    318

    Characterizing Household Plug Loads through Self-Administered Load Research  

    Science Conference Proceedings (OSTI)

    Household miscellaneous loads, which include consumer electronics, are the fastest growing segment of household energy use in the United States. Although the relative energy intensity of applications such as heating and cooling is declining, the DOEAnnual Energy Outlook forecasts that the intensity of residential miscellaneous end uses will increase substantially by 2030. Studies by TIAX and Ecos Consulting reveal that miscellaneous devices8212smaller devices in terms of energy draw but growing in usage8...

    2009-12-09T23:59:59.000Z

    319

    Household waste disposal in Mekelle city, Northern Ethiopia  

    SciTech Connect

    In many cities of developing countries, such as Mekelle (Ethiopia), waste management is poor and solid wastes are dumped along roadsides and into open areas, endangering health and attracting vermin. The effects of demographic factors, economic and social status, waste and environmental attributes on household solid waste disposal are investigated using data from household survey. Household level data are then analyzed using multinomial logit estimation to determine the factors that affect household waste disposal decision making. Results show that demographic features such as age, education and household size have an insignificant impact over the choice of alternative waste disposal means, whereas the supply of waste facilities significantly affects waste disposal choice. Inadequate supply of waste containers and longer distance to these containers increase the probability of waste dumping in open areas and roadsides relative to the use of communal containers. Higher household income decreases the probability of using open areas and roadsides as waste destinations relative to communal containers. Measures to make the process of waste disposal less costly and ensuring well functioning institutional waste management would improve proper waste disposal.

    Tadesse, Tewodros [Agricultural Economics and Rural Policy Group, Wageningen University, Hollandseweg 1 6706 KN Wageningen (Netherlands)], E-mail: tewodroslog@yahoo.com; Ruijs, Arjan [Environmental Economics and Natural Resources Group, Wageningen University, P.O. Box 8130, 6700 EW Wageningen (Netherlands); Hagos, Fitsum [International Water Management Institute (IWMI), Subregional Office for the Nile Basin and East Africa, P.O. Box 5689, Addis Ababa (Ethiopia)

    2008-07-01T23:59:59.000Z

    320

    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

    Note: This page contains sample records for the topic "national household travel" 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

    Source separation of household waste: A case study in China  

    SciTech Connect

    A pilot program concerning source separation of household waste was launched in Hangzhou, capital city of Zhejiang province, China. Detailed investigations on the composition and properties of household waste in the experimental communities revealed that high water content and high percentage of food waste are the main limiting factors in the recovery of recyclables, especially paper from household waste, and the main contributors to the high cost and low efficiency of waste disposal. On the basis of the investigation, a novel source separation method, according to which household waste was classified as food waste, dry waste and harmful waste, was proposed and performed in four selected communities. In addition, a corresponding household waste management system that involves all stakeholders, a recovery system and a mechanical dehydration system for food waste were constituted to promote source separation activity. Performances and the questionnaire survey results showed that the active support and investment of a real estate company and a community residential committee play important roles in enhancing public participation and awareness of the importance of waste source separation. In comparison with the conventional mixed collection and transportation system of household waste, the established source separation and management system is cost-effective. It could be extended to the entire city and used by other cities in China as a source of reference.

    Zhuang Ying; Wu Songwei; Wang Yunlong [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China); Wu Weixiang [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China)], E-mail: weixiang@zju.edu.cn; Chen Yingxu [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China)

    2008-07-01T23:59:59.000Z

    322

    Supplemental Guidance Regarding Compensatory Time Off for Travel |  

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

    Supplemental Guidance Regarding Compensatory Time Off for Travel Supplemental Guidance Regarding Compensatory Time Off for Travel Supplemental Guidance Regarding Compensatory Time Off for Travel Questions and answers on issues that supplement the final regulations on compensatory time for travel issued by the Office of Personnel Management. In addition, a sample worksheet is attached to assist travelers in determining and documenting their travel time that may be credited for compensatory time for travel. This information will be incorporated in Appendix D of the DOE Handbook on Overtime when the handbook is updated. Supplemental Guidance Regarding Compensatory Time Off for Travel Responsible Contacts Bruce Murray HR Policy Advisor E-mail bruce.murray@hq.doe.gov Phone 202-586-3372 More Documents & Publications DOE Handbook on Overtime

    323

    Quantum mechanics of time travel through post-selected teleportation  

    E-Print Network (OSTI)

    This paper discusses the quantum mechanics of closed-timelike curves (CTCs) and of other potential methods for time travel. We analyze a specific proposal for such quantum time travel, the quantum description of CTCs based ...

    Maccone, Lorenzo

    324

    Encoding network-constrained travel trajectories using routing algorithms  

    Science Conference Proceedings (OSTI)

    This study proposes a generic encoder for network-constrained travel trajectories, and it implements two encoders by combining the proposed generic encoder with two routing algorithms, which reduce the size of a travel trajectory's path along ...

    Pablo Martinez Lerin; Daisuke Yamamoto; Naohisa Takahashi

    2013-03-01T23:59:59.000Z

    325

    Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility  

    Alternative Fuels and Advanced Vehicles Data Center (EERE)

    Vehicle Miles Traveled Vehicle Miles Traveled Tax Feasibility Evaluation to someone by E-mail Share Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Facebook Tweet about Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Twitter Bookmark Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Google Bookmark Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Delicious Rank Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Digg Find More places to share Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

    326

    An investigation of the information needs of air passengers traveling to the airport  

    E-Print Network (OSTI)

    According to the U.S. Department of Transportation, Bureau of Transportation Statistics, nearly 200 million person-trips over 100 miles one-way were taken by airplane in 1995, a 186 percent increase since 1977 (Bureau of Transportation Statistics, 1998). As the popularity of air travel continues to increase, the number of trips to and from the airport will inevitably rise also. Passengers will need accurate information about all modes on a total trip basis. This includes the modes of access to and from the airport in addition to the long distance segment of the trip (Sverdrup & Parcel Consultants, Inc., et al., 1996). The purpose of this study was to determine the specific information needs of departing air travelers with regard to the pre-trip and en-route phases of their trip to the airport. Based on the results of this research, effective plans for providing supplementary information in support of ground-side travel can be developed by local, state, and national agencies. To gain an understanding of air passenger information needs, personal interviews were conducted with 216 passengers at George Bush Intercontinental Airport in Houston, Texas. One major finding from this research was that in general, passengers are content with the existing types of real-time travel information that are available. Specifically, the survey results showed that passengers currently use and would prefer to have access to flight information including, confirmed schedules, flight delays, and gate assignments. It was also found that most passengers would prefer to receive travel information earlier in their trip (i.e., before beginning their trip). This could possibly be so that they have the information earlier in their decision-making process and thus would have adequate time to evaluate their options. Finally, based on the survey results, air passengers indicated they would prefer to use e-mail, pagers, telephones, and the Internet when making future travel information inquiries. In particular, business travelers were found to have a higher affinity toward e-mail and pagers, while younger travelers simply preferred newer technologies to receive travel information. As a result, these population categories are prime targets for marketing of information services. Overall, each of these findings was similar to and backed up the results from previous studies.

    Burdette, Debra Arlene

    2000-01-01T23:59:59.000Z

    327

    Microsoft Word - Student Travel Request Form.docx  

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

    neup@inl.gov | Fax: (208) 526-8076 | Phone: (208) 526-1336 neup@inl.gov | Fax: (208) 526-8076 | Phone: (208) 526-1336 FELLOWSHIP TRAVEL REQUEST FORM Student Name: _____________________________ Date of Request: _________________________ University: ________________________________ Email Address: ___________________________ Phone: ___________________________________ In-State Travel Out-of-State Travel Event Name: ___________________________________________________________________________ Destination: ___________________________________________________________________________ Justification: ___________________________________________________________________________ *Presentation/Poster Title: _______________________________________________________________ Departure Date: _________________________ Return Date: _________________________

    328

    TERMS FOR TRAVEL & EXCHANGE SCHOLARSHIPS As of December 3, 2013  

    E-Print Network (OSTI)

    TERMS FOR TRAVEL & EXCHANGE SCHOLARSHIPS As of December 3, 2013 Q:\\Awards\\In-course\\Travel\\2013-14\\Travel Terms.docx Page 1 of 5 The University Senate, acting on behalf of generous benefactors and donors terms attached to individual academic awards. The general conditions and terms have been established

    Thompson, Michael

    329

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

    DOE Green Energy (OSTI)

    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

    330

    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

    331

    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.

    332

    Household solid waste characteristics and management in Chittagong, Bangladesh  

    Science Conference Proceedings (OSTI)

    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 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

    333

    Travel Time Estimation Using Floating Car Data  

    E-Print Network (OSTI)

    This report explores the use of machine learning techniques to accurately predict travel times in city streets and highways using floating car data (location information of user vehicles on a road network). The aim of this report is twofold, first we present a general architecture of solving this problem, then present and evaluate few techniques on real floating car data gathered over a month on a 5 Km highway in New Delhi.

    Sevlian, Raffi

    2010-01-01T23:59:59.000Z

    334

    The Full Cost of Intercity Travel  

    E-Print Network (OSTI)

    Transportation," National Resources Defense San Francisco, October Emile Quinet, Monograph the Council, "The Social Cost

    Levinson, David

    1996-01-01T23:59:59.000Z

    335

    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,

    336

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 29, 2012 - 12:19pm Addthis Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE’s vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were reduced by greater than 60 percent. Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE's vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were

    337

    Going Green: Traveling in an Environmentally Responsible Manner |  

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

    Green: Traveling in an Environmentally Responsible Manner Green: Traveling in an Environmentally Responsible Manner Going Green: Traveling in an Environmentally Responsible Manner September 27, 2010 - 7:30am Addthis John Lippert My wife and I recently took a trip to Virginia Beach. I wanted to visit a research center there. I spent a lot of time at the center, including attending a 3-hour conference session. So really-a main reason for the trip was not leisure. I do admit, however, that my wife and I couldn't go there over a long weekend without squeezing in some time for the ocean. Travel and tourism is one of America's largest industries, responsible for more than $1 trillion in the U.S. economy. According to the U.S. Travel Association, one out of every nine jobs in the United States depends on travel and tourism. The U.S. travel and tourism industry is made up of

    338

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 29, 2012 - 12:19pm Addthis Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE’s vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were reduced by greater than 60 percent. Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE's vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were

    339

    Assess Potential Changes in Business Travel that Impact Greenhouse Gas  

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

    Changes in Business Travel that Impact Greenhouse Changes in Business Travel that Impact Greenhouse Gas Emissions Assess Potential Changes in Business Travel that Impact Greenhouse Gas Emissions October 7, 2013 - 1:22pm Addthis YOU ARE HERE Step 1 For a Federal agency, changes in the demand for business travel can be difficult to predict. Changes in the nature of the agency's work may have a substantial impact on the demand for business travel. It is therefore important to account for these changes when planning for greenhouse gas (GHG) emissions reduction. Conditions that may contribute to a significant increase or decrease in the agency's business travel, beyond specific efforts to reduce business travel demand, include: Significant changes in the agency's budget Addition or completion of major program activities that require

    340

    Prioritize Greenhouse Gas Mitigation Strategies for Business Travel |  

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

    Business Travel Business Travel Prioritize Greenhouse Gas Mitigation Strategies for Business Travel October 7, 2013 - 1:38pm Addthis YOU ARE HERE Based on the guidance in steps 3 in evaluating strategies and step 4 in estimating the cost of implementing those strategies, the agency can define a program of communications, policy and management, and technological and infrastructure support activities that it believes are necessary to support travel reductions. Because business travel can be such a challenging areas to address, effective travel reduction programs will ensure that all of these elements are in place to enable the desired outcomes. Prioritization of those business travel management strategies will instead focus on how broadly the program can be deployed across the agency. The

    Note: This page contains sample records for the topic "national household travel" 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

    Going Green: Traveling in an Environmentally Responsible Manner |  

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

    Going Green: Traveling in an Environmentally Responsible Manner Going Green: Traveling in an Environmentally Responsible Manner Going Green: Traveling in an Environmentally Responsible Manner September 27, 2010 - 7:30am Addthis John Lippert My wife and I recently took a trip to Virginia Beach. I wanted to visit a research center there. I spent a lot of time at the center, including attending a 3-hour conference session. So really-a main reason for the trip was not leisure. I do admit, however, that my wife and I couldn't go there over a long weekend without squeezing in some time for the ocean. Travel and tourism is one of America's largest industries, responsible for more than $1 trillion in the U.S. economy. According to the U.S. Travel Association, one out of every nine jobs in the United States depends on travel and tourism. The U.S. travel and tourism industry is made up of

    342

    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

    343

    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

    344

    Econometric analysis of energy use in urban households  

    SciTech Connect

    This article analyzes the pattern of energy carrier consumption in the residential sector of Bangalore, a major city in south India. A 1,000-household survey was used to study the type of energy carrier used by households in different income groups for different end-uses, such as cooking, water heating, and lighting. The dependence of income on the carrier utilized is established using a carrier dependence index. Using regression analysis, the index analyses the impact of different explanatory variables such as family income, family size, and price of energy carrier on consumption. The results show that income plays an important role not only in the selection of an energy carrier but also on the quantity of consumption per household. Also, a source-service matrix is prepared for Bangalore`s residential sector, which shows the disaggregation of energy consumption by the type of energy carrier and end-use.

    Reddy, B.S. [Indira Gandhi Inst. of Development Research, Bombay (India)

    1995-05-01T23:59:59.000Z

    345

    The welfare effects of raising household energy prices in Poland  

    Science Conference Proceedings (OSTI)

    We examine the welfare effects from increasing household energy prices in Poland. Subsidizing household energy prices, common in the transition economies, is shown to be highly regressive. The wealthy spend a larger portion of their income on energy and consume more energy in absolute terms. We therefore rule out the oft-used social welfare argument for delaying household energy price increases. Raising prices, while targeting relief to the poor through a social assistance program is the first-best response. However, if governments want to ease the adjustment, several options are open, including: in-kind transfers to the poor, vouchers, in-cash transfers, and lifeline pricing for electricity. Our simulations show that if raising prices to efficient levels is not politically feasible at present and social assistance targeting is sufficiently weak, it may be socially better to use lifeline pricing and a large price increase than an overall, but smaller, price increase.

    Freund, C.L. [Columbia Univ., New York, NY (United States); Wallich, C.I. [World Bank, Washington, DC (United States)

    1996-06-01T23:59:59.000Z

    346

    Modeling patterns of hot water use in households  

    Science Conference Proceedings (OSTI)

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

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

    1996-11-01T23:59:59.000Z

    347

    Modeling patterns of hot water use in households  

    SciTech Connect

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

    Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

    1996-01-01T23:59:59.000Z

    348

    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

    349

    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

    350

    Household Energy Expenditure and Income Groups: Evidence from Great Britain  

    E-Print Network (OSTI)

      and  0.024  for  district heating However, as income is not observed its effect cannot be analysed.  Wu et al. (2004) examine the demand for space heating in Armenia, Moldova, and  Kyrgyz  Republic  using  household  survey  data.  In  these  countries...  and in some regions incomes are not sufficient to  afford space heating from district heating systems making these systems unviable.  We  analyse  electricity,  gas  and  overall  energy  spending  for  a  large  sample  of  households  in  Great  Britain.  We  discern  inflection  points  and  discuss...

    Jamasb, Tooraj; Meier, H

    351

    A Glance at China’s Household Consumption  

    SciTech Connect

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

    Shui, Bin

    2009-10-22T23:59:59.000Z

    352

    Foreign Travel Health & Wellness Information | Department of Energy  

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

    Wellness Programs » Foreign Travel Health Wellness Programs » Foreign Travel Health & Wellness Information Foreign Travel Health & Wellness Information All travelers should take the following precautions, no matter the destination: Wash hands often with soap and water. Because motor vehicle crashes are a leading cause of injury among travelers, walk and drive defensively; avoid travel at night if possible and always use seat belts. Don't eat or drink dairy products unless you know they have been pasteurized. Never eat undercooked ground beef and poultry, raw eggs, and unpasteurized dairy products; raw shellfish is particularly dangerous to persons who have liver disease or compromised immune systems. Don't eat food purchased from street vendors; do not drink beverages with ice. Don't handle animals, including dogs and cats, to avoid bites and

    353

    ADMF-007 EOTA Pre-Travel Authorization 11_0221  

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

    7 EOTA Pre-Travel Authorization 11_0221 7 EOTA Pre-Travel Authorization 11_0221 11_0221 Deleted extraneous redundant areas and updated chart. EOTA - Business Form Document Title: EOTA Pre-Travel Authorization Form Document Number: ADMF-007 Rev. 11_0221 Document Owner: Approvers: Elizabeth Sousa Melissa Otero Backup Owner: Melissa Otero Referenced Documents: N/A Parent Document: Notify of Changes: ADMP-004, Travel Process ADM MGT 08_0314 Changed name to EOTA Pre-Travel..., added area to identify if a detailed trip report is required, moved FMT signature block. 08_0523 Changed form to mirror the Prime Contractor form as all information is necessary for all authorized travel. Revision History: Rev. Description of Change A Initial Release. 11_0105 Added a refundable/non-refundable approval 08_0606 Added Company Name to form. Merged cells to reveal required text for Yes/No approval.

    354

    EvoNILM: evolutionary appliance detection for miscellaneous household appliances  

    Science Conference Proceedings (OSTI)

    To improve the energy awareness of consumers, it is necessary to provide them with information about their energy demand, not just on the household level. Non-intrusive load monitoring (NILM) gives the consumer the opportunity to disaggregate their consumed ... Keywords: evolutionary algorithm, load disaggregation, non-intrusive load monitoring

    Dominik Egarter; Wilfried Elmenreich

    2013-07-01T23:59:59.000Z

    355

    Modelling the Energy Demand of Households in a Combined  

    E-Print Network (OSTI)

    . Emissions from passenger transport, households'electricity and heat consumption are growing rapidly despite demand analysis for electricity (e.g. Larsen and Nesbakken, 2004; Holtedahl and Joutz, 2004; Hondroyiannis, 2004) and passenger cars (Meyer et al., 2007). Some recent studies cover the whole residential

    Steininger, Karl W.

    356

    Fuelwood Use by Rural Households in the Brazilian Atlantic Forest  

    E-Print Network (OSTI)

    Fuelwood is an important source of domestic energy in rural regions of Brazil. In the Zona da Mata of Minas Gerais, native species from the Atlantic Forest are an important source of fuelwood, supplemented by wood from eucalyptus and coffee plantations. The use of native species is complicated by their increasing scarcity and the recent enforcement of forest policies that prohibit the felling of even dead natives trees without a permit. In this study, the factors contributing to the use of fuelwood in this region, despite the simultaneous use of liquid petroleum gas in most households, are explored by examining fuelwood use patterns in four small rural communities in the Zona da Mata Mineira using household surveys and semi-structured interviews. Two hypotheses were tested using a Jacknife regression. The first hypothesis, based on the energy ladder model, tested the predictive power of socioeconomic status in relation to fuelwood use. Two dependent variables were used to represent the importance of fuelwood to a household: the amount of time a household spent collecting fuelwood (Effort) and the number of purposes a household used fuelwood for (Class of Fuelwood Use). Socioeconomic status did explain a statistically significant percentage of the variance in Effort, but not in Class of Fuelwood Use. The second hypothesis tested for a moderating effect of the availability of fuelwood on the relationship between the socioeconomic status of a household and the dependent variables. The interaction between access to fuelwood and socioeconomic status was shown to explain a significant percentage of the variance in Effort, thereby indicating that the effect of socioeconomic status on time spent collecting fuelwood depends on access to fuelwood. However, there was no statistically significant interaction found between Class of Fuelwood Use and fuelwood availability. The Atlantic Forest Policy was found to have little influence on domestic energy decisions made by surveyed households. Few research subjects had a good understanding of the basic tenets of this policy and the Forest Police do not have adequate resources to enforce the policy at this level.

    Wilcox-Moore, Kellie J.

    2010-05-01T23:59:59.000Z

    357

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse...  

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

    document reviews with regulators instead of meeting in person and reduced rental car usage by standardizing travel arrangements so that only one rental car is necessary...

    358

    SFU Travel Claim Form - Burnaby - CECM - Simon Fraser University  

    E-Print Network (OSTI)

    Credit card slips will only be accepted for restaurant charges and gas. - List names of all travelers and/or guests for which expenses are claimed. - Foreign ...

    359

    Traveling Salesman Problem Formulations with $N \\log N$ Number ...  

    E-Print Network (OSTI)

    Feb 13, 2013 ... Traveling Salesman Problem Formulations with $N \\log N$ Number of Binary Variables. Thomas A. Pogiatzis(tp309 ***at*** cam.ac.uk)

    360

    Traveling Wave Thermoacoustic-Piezoelectric Energy Harvester: Theory and Experiment.  

    E-Print Network (OSTI)

    ??This thesis presents a theoretical and experimental investigation of a piezoelec- tric energy harvester coupled to a traveling wave thermoacoustic engine (TWTAE). By simplifying the… (more)

    Roshwalb, Andrew Zvi

    2011-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "national household travel" 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

    Using unlabeled Wi-Fi scan data to discover occupancy patterns of private households  

    Science Conference Proceedings (OSTI)

    This poster presents the homeset algorithm, a lightweight approach to estimate occupancy schedules of private households. The algorithm relies on the mobile phones of households' occupants to collect Wi-Fi scans. The scans are then used to determine ...

    Wilhelm Kleiminger, Christian Beckel, Anind Dey, Silvia Santini

    2013-11-01T23:59:59.000Z

    362

    California’s Immigrant Households and Public-Assistance Participation in the 1990s - Policy Brief  

    E-Print Network (OSTI)

    with Dependent Children (AFDC)/California Work Opportunitystate households participating in AFDC/ CalWORKs pro- grams.of noncitizen households received AFDC, compared to 4.5% of

    2002-01-01T23:59:59.000Z

    363

    Table 1. Total Energy Consumption in U.S. Households by Origin ...  

    U.S. Energy Information Administration (EIA)

    Wood (million cords) ..... 21.4 19.8 0.8 0.6 0.3 19.3 Million Btu per Household3 Total Btu Consumption per Household, Fuels Used: Electricity Primary ...

    364

    An Analysis of the Price Elasticity of Demand for Household Appliances  

    E-Print Network (OSTI)

    Customers’ Choice of Appliance Efficiency Level: CombiningThe Effect of Income on Appliances in U.S. Households. U.S.Household’s Choice of Appliance Efficiency Level. Review of

    Dale, Larry

    2008-01-01T23:59:59.000Z

    365

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

    U.S. Energy Information Administration (EIA)

    ... Buildings & Industry > Transportation Surveys > Household Vehicles Energy ... U.S. Vehicles by Model ... Office of Coal, Nuclear, Electric, and Alternate ...

    366

    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

    367

    Stable operating regime for traveling wave devices  

    DOE Patents (OSTI)

    Autophase stability is provided for a traveling wave device (TWD) electron beam for amplifying an RF electromagnetic wave in walls defining a waveguide for said electromagnetic wave. An off-axis electron beam is generated at a selected energy and has an energy noise inherently arising from electron gun. The off-axis electron beam is introduced into the waveguide. The off-axis electron beam is introduced into the waveguide at a second radius. The waveguide structure is designed to obtain a selected detuning of the electron beam. The off-axis electron beam has a velocity and the second radius to place the electron beam at a selected distance from the walls defining the waveguide, wherein changes in a density of the electron beam due to the RF electromagnetic wave are independent of the energy of the electron beam to provide a concomitant stable operating regime relative to the energy noise.

    Carlsten, Bruce E. (Los Alamos, NM)

    2000-01-01T23:59:59.000Z

    368

    UNALLOWABLE EXPENSES Some common unallowable TRAVEL expenses on University  

    E-Print Network (OSTI)

    travel agencies. Those agencies are knowledgeable of State airline contracts, available fares and billing of the State contracted rental car agencies is mandatory. Car rentals must be paid with the State Travel Card provides the list of awarded rental car agencies as well as a list of awarded cities by vendor: http://www.state

    369

    Maximal covering location problem (MCLP) with fuzzy travel times  

    Science Conference Proceedings (OSTI)

    This paper presents a fuzzy maximal covering location problem (FMCLP) in which travel time between any pair of nodes is considered to be a fuzzy variable. A fuzzy expected value maximization model is designed for such a problem. Moreover, a hybrid algorithm ... Keywords: Credibility theory, Facility location, Fuzzy travel times, Maximal covering location problem (MCLP), Simulation

    Soheil Davari; Mohammad Hossein Fazel Zarandi; Ahmad Hemmati

    2011-11-01T23:59:59.000Z

    370

    A New Memetic Algorithm for the Asymmetric Traveling Salesman Problem  

    Science Conference Proceedings (OSTI)

    This paper introduces a new memetic algorithm specialized for the asymmetric instances of the traveling salesman problem (ATSP). The method incorporates a new local search engine and many other features that contribute to its effectiveness, such as: ... Keywords: asymmetric traveling salesman problem, local search, memetic algorithms, metaheuristics

    Luciana Buriol; Paulo M. França; Pablo Moscato

    2004-09-01T23:59:59.000Z

    371

    Supplemental Guidance Regarding Compensatory Time Off for Travel  

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

    SUPPLEMENTAL GUIDANCE SUPPLEMENTAL GUIDANCE REGARDING COMPENSATORY TIME OFF FOR TRAVEL (Revised October 27, 2008) Following are questions and answers on issues that supplement the final regulations effective this date on compensatory time for travel issued by the Office of Personnel Management on April 17, 2007. In addition, a sample worksheet is attached to assist travelers in determining and documenting their travel time that may be credited for compensatory time for travel. This information will be incorporated in Appendix D of the DOE Handbook on Overtime when the handbook is updated. Q1. Who is eligible for this benefit? A1. All employees are eligible except the following: the Secretary, SESs, employees covered by other forms of overtime compensation, including law enforcement

    372

    Checklist for Medical Issues When Traveling Overseas | Department of Energy  

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

    Benefits » Wellness Programs » Foreign Travel Health Benefits » Wellness Programs » Foreign Travel Health & Wellness Information » Checklist for Medical Issues When Traveling Overseas Checklist for Medical Issues When Traveling Overseas Before the Trip A written confirmation from an appropriate manager, i.e., a Travel Authorization or memorandum, that identifies the employee and country(ies) that will be visited should be provided the medical support staff 4-8 weeks prior to the trip or, if less than 4 weeks, as soon as management or the employee becomes aware of it. The medical staff will identify what vaccinations are recommended for each country and discuss the current health issues for each country with the employee. Some vaccinations take several weeks to become effective. The medical staff will review and update the employee's routine

    373

    Petroleum Reduction Strategies to Reduce Vehicle Miles Traveled |  

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

    Reduce Vehicle Miles Traveled Reduce Vehicle Miles Traveled Petroleum Reduction Strategies to Reduce Vehicle Miles Traveled October 7, 2013 - 11:52am Addthis YOU ARE HERE: Step 3 For reducing greenhouse gas emissions, the table below describes petroleum reduction strategies to reduce vehicle miles traveled, as well as guidance and best practices for each strategy. Table 1. Determining When and How to Promote the Use of Strategies to Reduce Vehicle Miles Traveled Strategy When Applicable Best Practices Consolidate trips Applicable to all vehicles, regardless of ownership or vehicle and fuel type Target vehicle operators who take longer trips Seek vehicle operator input and collaboration to identify regular or occasional trips that involve similar routes. Determine whether trips on multiple days or times can be consolidated into a single trip.

    374

    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.

    2012-06-06T23:59:59.000Z

    375

    Energy conservation for household refrigerators and water heaters  

    Science Conference Proceedings (OSTI)

    An energy conservation arrangement for household refrigerators and water heaters, in which the source of cold water to the hot water heater is divided and part is caused to flow through and be warmed in the condenser of the refrigerator. The warmed water is then further heated in the oil cooling loop of the refrigerator compressor, and proceeds then to the top of the hot water tank.

    Speicher, T. L.

    1984-12-11T23:59:59.000Z

    376

    NETL: Science Bowl Information - West Virginia - Travel  

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

    by January 10, 2014. The registration site is located at the coaches page of the National Science Bowl website. Students must complete the Student Medical Form and the Parental...

    377

    Sizing Wind/Photovoltaic Hybrids for Households in Inner Mongolia  

    DOE Green Energy (OSTI)

    Approximately 140,000 wind turbines currently provide electricity to about one-third of the non-grid-connected households in Inner Mongolia. However, these households often suffer from a lack of power during the low-wind summer months. This report describes an analysis of hybrid wind/photovoltaic (PV) systems for such households. The sizing of the major components is based on a subjective trade-off between the cost of the system and the percent unmet load, as determined by the Hybrid 2 software in conjunction with a simplified time-series model. Actual resource data (wind speed and solar radiation) from the region are processed so as to best represent the scenarios of interest. Small wind turbines of both Chinese and U.S. manufacture are considered in the designs. The results indicate that combinations of wind and PV are more cost-effective than either one alone, and that the relative amount of PV in the design increases as the acceptable unmet load decreases and as the average wind sp eed decreases.

    Barley, C. D.; Lew, D. J.; Flowers, L. T.

    1997-06-01T23:59:59.000Z

    378

    Flickr: Brookhaven National Laboratory's Photostream  

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

    Mail Mail News Sports Finance Weather Games Groups Answers Screen Flickr Mobile More Celebrity Shine Movies Music TV Health Shopping Travel Autos Homes Flickr logo. If you click it, you'll go home Sign Up Explore Recent Photos The Commons Getty Collection Galleries World Map App Garden Camera Finder Flickr Blog Upload Search Sign In Brookhaven National Laboratory 679 Photos December 2008 Member Since Photostream Sets Favorites Map Galleries Collections Archives Tags Photos of Profile Studying Quantum Dots Studying Quantum Dots Brookhaven National Laboratory [★] 0 High-Speed X-Ray 'Camera' High-Speed X-Ray 'Camera' Brookhaven National Laboratory [★] 0 Björn Schenke Björn Schenke Brookhaven National Laboratory [★] 0 eRHIC Schematic eRHIC Schematic Brookhaven National Laboratory [★] 2 0 Nanoscale Catalysts

    379

    Evolving travel behavior, the built environment, and subway investments in Mexico City By  

    E-Print Network (OSTI)

    Mexico City is a suburban metropolis, yet most of its suburbs would be unfamiliar to urbanists accustomed to thinking about US metropolitan regions. Mexico City’s suburbs are densely populated—not thinly settled—and its residents rely primarily on informal transit rather than privately-owned automobiles for their daily transportation. These types of dense and transitdependent suburbs have emerged as the fastest-growing form of human settlement in cities throughout Latin America, Asia, and Africa. Wealthier and at a later stage in its economic development than other developing-world metropolises, Mexico City is a compelling place to investigate the effects of rising incomes, increased car ownership, and transit investments in the dense, peripheral areas that have grown rapidly around informal transit in the past decades, and is a bellwether for cities like Dakar, Cairo, Lima, and Jakarta. I begin this dissertation with a historical overview of the demographic, economic, and political trends that have helped shape existing urban form, transportation infrastructure, and travel behavior in Mexico City. Despite an uptick in car ownership and use, most households— both urban and suburban—continue to rely on public transportation. Furthermore, suburban Mexico City has lower rates of car ownership and use than its central areas. In subsequent

    Erick Strom Guerra; Erick Strom Guerra; Erick Strom; Guerra Abstract; Erick Strom Guerra

    2013-01-01T23:59:59.000Z

    380

    Hamiltonian Graphs and the Traveling Salesman Problem  

    E-Print Network (OSTI)

    A new characterization of Hamiltonian graphs using f-cutset matrix is proposed. A new exact polynomial time algorithm for the traveling salesman problem (TSP) based on this new characterization is developed. We then define so called ordered weighted adjacency list for given weighted complete graph and proceed to the main result of the paper, namely, the exact algorithm based on utilization of ordered weighted adjacency list and the simple properties that any path or circuit must satisfy. This algorithm performs checking of sub-lists, containing (p-1) entries (edge pairs) for paths and p entries (edge pairs) for circuits, chosen from ordered adjacency list in a well defined sequence to determine exactly the shortest Hamiltonian path and shortest Hamiltonian circuit in a weighted complete graph of p vertices. The procedure has intrinsic advantage of landing on the desired solution in quickest possible time and even in worst case in polynomial time. A new characterization of shortest Hamiltonian tour for a weighted complete graph satisfying triangle inequality (i.e. for tours passing through every city on a realistic map of cities where cities can be taken as points on a Euclidean plane) is also proposed. Finally, we discuss a novel classical algorithm for unstructured search and its effect on any of the NP-Complete problems.

    Dhananjay P. Mehendale

    2007-04-27T23:59:59.000Z

    Note: This page contains sample records for the topic "national household travel" 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

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

    SciTech Connect

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

    Henderson, L.J. (Baltimore Univ., MD (United States)); Poyer, D.A.; Teotia, A.P.S. (Argonne National Lab., IL (United States). Energy Systems Div.)

    1992-09-01T23:59:59.000Z

    382

    ITS Information And Services To Enhance The Mobility Of Disabled Travelers  

    E-Print Network (OSTI)

    Mobility of Elderly and Disabled Travelers: Initial Surveyto understand the needs of the disabled population, it isto Enhance the Mobility of Disabled Travelers Wan-Hui Chen,

    Chen, Wan-hui; Uwaine, Rochelle; Klaver, Kelley; Kurani, Ken; Jovanis, Paul P.

    1998-01-01T23:59:59.000Z

    383

    DOE O 552.1A Admin Chg 1, Travel Policy and Procedures  

    Directives, Delegations, and Requirements

    The Order supplements the Federal Travel Regulation as principal source of policy for Federal employee travel and relocation and establishes DOE M 552.1-1A, ...

    2006-02-17T23:59:59.000Z

    384

    DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

    WIPP Representative for Cutting Travel Costs, Greenhouse WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 1, 2012 - 12:00pm Addthis Secretary Chu presents the Secretary of Energy's Appreciation Award to Judy A. McLemore. Secretary Chu presents the Secretary of Energy's Appreciation Award to Judy A. McLemore. WASHINGTON, D.C. - A representative of the Waste Isolation Pilot Plant (WIPP) near Carlsbad, N.M., on Tuesday received the Secretary of Energy's Appreciation Award for her efforts to improve sustainability and reduce travel costs and the number of fleet vehicles. Judy A. McLemore, who works for URS Regulatory and Environmental Services, based in Carlsbad, was honored for helping advance DOE's management and

    385

    Deputy Secretary Poneman to Travel to Russia | Department of Energy  

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

    Poneman to Travel to Russia Poneman to Travel to Russia Deputy Secretary Poneman to Travel to Russia December 3, 2010 - 12:00am Addthis Washington, D.C. - On Monday, December 6, U.S. Deputy Secretary of Energy Daniel Poneman will travel to Russia as part of the ongoing cooperation between the two countries on nuclear security and peaceful nuclear energy issues. On Tuesday, Deputy Secretary Poneman will co-chair the U.S.-Russia Nuclear Energy and Nuclear Security Working Group Plenary Meeting with Director General of the State Atomic Energy Corporation "Rosatom" Sergei Kiriyenko. The Working Group was established under the U.S.-Russia Bilateral Presidential Commission at the July 2009 Presidential Summit. Last fall, Director Kiriyenko visited the United States for the first meetings of the

    386

    Sec. Chu Travels to Houston | Department of Energy  

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

    Sec. Chu Travels to Houston Sec. Chu Travels to Houston Sec. Chu Travels to Houston February 2, 2012 - 5:19pm Addthis The Houston Medical Center Thermal Energy Corporation Control Room. | Photo Courtesy of the Texas Medical Center The Houston Medical Center Thermal Energy Corporation Control Room. | Photo Courtesy of the Texas Medical Center Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs Secretary Chu traveled to Houston, Texas, today to meet with executives from various oil and gas companies, host a State of the Union Town Hall with students from Houston Community College, and tour the Texas Medical Center -- which recently completed a series of major energy efficiency upgrades. As part of his blueprint to build an economy to last, President Obama has

    387

    SunShot Concentrating Solar Power Program Review 2013 - Travel...  

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

    SunShot Concentrating Solar Power Program Review 2013 April 23-25, 2013 Phoenix, Arizona Skip navigation to main content Menu Home About Agenda Register Venue Presentations Travel...

    388

    How ORISE is Making a Difference: Travelers' Health Campaign  

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

    online outreach. Campaign themes include "Prevention can be Travel-Sized" and "Stop, Wash and Go." Among THC's core messages, the CDC is urging people to take the following...

    389

    A Striking Example of the Atmosphere's Leading Traveling Pattern  

    Science Conference Proceedings (OSTI)

    Conventional and complex empirical orthogonal function (EOF) techniques show that for at least four months during the fall and winter of 1979/80 a large-amplitude, large-scale, traveling flow anomaly existed in the troposphere and stratosphere. ...

    Grant Branstator

    1987-08-01T23:59:59.000Z

    390

    Defining business strategy for development of travel and tourism industry  

    E-Print Network (OSTI)

    Many studies conducted on Travel and Tourism industry consider tourism an economic phenomenon. Providing a customer-satisfaction-based analysis, this thesis deals with both economic and social aspects. Economic data on ...

    Davari, Dordaneh

    2011-01-01T23:59:59.000Z

    391

    Passenger travel behavior model in railway network simulation  

    Science Conference Proceedings (OSTI)

    Transportation planners and public transport operators alike have become increasingly aware of the need to diffuse the concentration of the peak period travel. Differentiated pricing is one possible method to even out the demand and reduce peak load ...

    Ting Li; Eric van Heck; Peter Vervest; Jasper Voskuilen; Freek Hofker; Fred Jansma

    2006-12-01T23:59:59.000Z

    392

    Odometer Versus Self-Reported Estimates of Vehicle Miles Traveled  

    Reports and Publications (EIA)

    The findings described here compare odometer readings with self-reported estimates of Vehicle Miles Traveled (VMT) to investigate to what extent self-reported VMT is a reliable surrogate for odometer-based VMT.

    Information Center

    2000-08-01T23:59:59.000Z

    393

    Understanding transit travel behavior : value added by smart cards  

    E-Print Network (OSTI)

    Travel behavior represents a particularly complex area of research in transportation given the interaction between transport supply characteristics and the user perceptions which guide his/her decisions. Thanks to the ...

    Gupta, Saumya, S.M. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    394

    Travel and migration associated infectious diseases morbidity in Europe, 2008  

    E-Print Network (OSTI)

    Infect 2009, 11:1177-1185. 19. NaTHNaC Clinical Update: Tropical Cyclone Nargis in Myanmar - advice for relief workers and other travellers to affected areas. 2008 [http:// www.nathnac.org/pro/clinical_updates/cyclonemyanmar_070508.htm], (Accessed January... ://www.eurotravnet.eu, a network of clinical specialists in tropical and travel medicine was founded in 2008, to assist the European Centre for Dis- ease Prevention & Control (ECDC) for the detection, verification, assessment and communication of commu- nicable diseases...

    Field, Vanessa; Gautret, Philippe; Schlagenhauf, Patricia; Burchard, Gerd-Dieter; Caumes, Eric; Jensenius, Mogens; Castelli, Francesco; Gkrania-Klotsas, Effrossyni; Weld, Leisa; Lopez-Velez, Rogelio; de Vries, Peter; von Sonnenburg, Frank; Loutan, Louis; Parola, Philippe; Network, the EuroTravNet

    2010-11-17T23:59:59.000Z

    395

    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

    396

    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:

    397

    Travel grant program for the IX International Congresses of Mycology and Bacteriology -- Final report  

    SciTech Connect

    In 1999, the American Society for Microbiology (ASM) and the National Academy of Sciences' U.S. National Committee for the International Union of Microbiological Sciences (IUMS) jointly organized a competitive travel grant program to support the participation of U.S. scientists in the 9th International Congresses of the Bacteriological and Applied Microbiology, Mycology and Virology Divisions of the IUMS in Sydney, Australia, August 16-20, 1999. Funding was solicited for the program, and the ASM Minority and International Activities department administered the $40,000 raised. Travel grants in the amount of $2,000 were offered to U.S. investigators (citizens, including federal employees, and permanent residents working in the United States) in the early stages of their careers who planned to attend and present their research at the Congress. Teams of established and new investigators who applied jointly were eligible to received a combined $3,000 award. IUMS developed a questionnaire th at each applicant were required to complete and return, which asked each award recipient about their experience at the Congresses. Questionnaire results are included.

    Granigan, Marion

    2000-05-25T23:59:59.000Z

    398

    The sources of e-business competitive advantages between travel agencies and online travel service firms in China  

    Science Conference Proceedings (OSTI)

    Knowledge about the most important sources of e-business competitive advantages in the travel industry would help to focus efforts in both academic and practical areas. This study develops a framework based on the resource-based view (RBV) ...

    Zhen Zhu; Jing Zhao

    2011-07-01T23:59:59.000Z

    399

    Set of Comparable Carbon Footprints for Highway Travel in Metropolitan America  

    Science Conference Proceedings (OSTI)

    The authors describe the development of a set of carbon dioxide emissions estimates for highway travel by automobile, truck, bus and other public transit vehicle movements within the nation s 100 largest metropolitan areas, in calendar year 2005. Considerable variability is found to exist across metropolitan areas when these greenhouse gas emissions are measured on a per capita and a per gross metropolitan product (GMP) basis. Least square regression modeling shows a relationship between emissions per capita and per GMP with truck traffic share, transit share, employment density, population dispersion within the metro area, and GMP per capita. As a result many of the nation s largest metropolitan areas tend to have lower CO2 emissions per capita and per GMP than smaller and more recently developed metro areas.

    Southworth, Frank [ORNL; Sonnenberg, Anthon [Georgia Institute of Technology

    2011-01-01T23:59:59.000Z

    400

    Exemplifying Business Opportunities for Improving Data Quality From Corporate Household Research  

    E-Print Network (OSTI)

    Corporate household (CHH) refers to the organizational information about the structure within the corporation and a variety of inter-organizational relationships. Knowledge derived from this data is ...

    Madnick, Stuart

    2004-12-10T23:59:59.000Z

    Note: This page contains sample records for the topic "national household travel" 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

    U.S. households forecast to use more heating fuels this ...  

    U.S. Energy Information Administration (EIA)

    What is the role of coal in the United States? ... 2012 U.S. households ... many located in rural areas. Propane inventories totaled almost 76 million ...

    402

    Methodology and Estimation of the Welfare Impact of Energy Reforms on Households in Azerbaijan.  

    E-Print Network (OSTI)

    ??ABSTRACT Title of Dissertation: METHODOLOGY AND ESTIMATION OF THE WELFARE IMPACT OF ENERGY REFORMS ON HOUSEHOLDS IN AZERBAIJAN Irina Klytchnikova, Doctor of Philosophy, 2006 Dissertation… (more)

    Klytchnikova, Irina

    2006-01-01T23:59:59.000Z

    403

    Table CE1-4c. Total Energy Consumption in U.S. Households by Type ...  

    U.S. Energy Information Administration (EIA)

    Total Energy Consumption in U.S. Households by Type of Housing Unit, 2001 RSE Column Factor: Total ... where the end use is electric air-conditioning, ...

    404

    Table HC6.7 Air-Conditioning Usage Indicators by Number of Household...  

    Gasoline and Diesel Fuel Update (EIA)

    7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4 15.9...

    405

    Table 1. Consumption and Expenditures in U.S. Households, 1997  

    U.S. Energy Information Administration (EIA)

    A household is assigned to a climate zone according to the 30-year average annual degree-days for an appropriate nearby weather station. (5) ...

    406

    In the UNITED STATES there are 96.6 million households  

    U.S. Energy Information Administration (EIA)

    In the UNITED STATES there are 96.6 million households 69% are single-family homes; 25% are apartments; and 6% are mobile homes. Housing stock is ...

    407

    Table 1. Total Energy Consumption in U.S. Households by ...  

    U.S. Energy Information Administration (EIA)

    This write-up presents 1997 Residential Energy Consumption and Expenditures by Origin of Householder. In 1997, there were 101.5 million residential ho ...

    408

    Table WH2. Total Households by Water Heating Fuels Used, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Total Households by Water Heating Fuels Used, 2005 ... 2005 Residential Energy Consumption Survey: Energy Consumption and Expenditures Tables. Table WH2.

    409

    Table CE1-7c. Total Energy Consumption in U.S. Households by Four ...  

    U.S. Energy Information Administration (EIA)

    Other Appliances and Lighting ... It does include the small number of households where the fuel for central air-conditioning equipment was something other than ...

    410

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

    U.S. Energy Information Administration (EIA)

    Table A1. U.S. Number of Vehicles, Vehicles-Miles, Motor Fuel Consumption and Expenditures, 2001: 2001 Household and Vehicle Characteristics

    411

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

    E-Print Network (OSTI)

    In contrast to a hybrid vehicle whichcombines multiple1994) "Demand Electric Vehicles in Hybrid for Households:or 180 mile hybrid electric vehicle. Natural gas vehicles (

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

    2001-01-01T23:59:59.000Z

    412

    The impact of physical planning policy on household energy use and greenhouse emissions .  

    E-Print Network (OSTI)

    ??This thesis investigates the impact of physical planning policy on combined transport and dwelling-related energy use by households. Separate analyses and reviews are conducted into… (more)

    Rickwood, Peter

    413

    Table AP1. Total Households Using Home Appliances and Lighting by ...  

    U.S. Energy Information Administration (EIA)

    Total Consumption for Home Appliances and Lighting by Fuels Used, 2005 Quadrillion British Thermal Units (Btu) U.S. Households (millions) Electricity

    414

    Table SH2. Total Households by Space Heating Fuels Used, 2005 ...  

    U.S. Energy Information Administration (EIA)

    Total Households by Space Heating Fuels Used, 2005 ... 2005 Residential Energy Consumption Survey: ... Electricity Natural Gas Fuel Oil Kerosene LPG Other

    415

    Table 2. Fuel Oil Consumption and Expeditures in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Fuel Oil Consumption and Expeditures in U.S. Households ... Space Heating - Main or Secondary ... Forms EIA-457 A-G of the 2001 Residential Energy Consumption

    416

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

    Reports and Publications (EIA)

    This web page page entails how people live, the factors that cause the most differences in home lifestyle, including energy use in Geographic Location, Socioeconomics and Household Income.

    Michael Laurence

    2004-01-01T23:59:59.000Z

    417

    U.S. household expenditures for gasoline account for nearly 4% of ...  

    U.S. Energy Information Administration (EIA)

    Electricity. Sales, revenue and prices, power plants, fuel use, ... a rise in average gasoline prices has led to higher overall household gasoline expenditures.

    418

    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

    419

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

    E-Print Network (OSTI)

    and V. Letschert (2005). Forecasting Electricity Demand in8364 Material World: Forecasting Household ApplianceMcNeil, 2008). Forecasting Diffusion Forecasting Variables

    Letschert, Virginie

    2010-01-01T23:59:59.000Z

    420

    An Analysis of the Price Elasticity of Demand for Household Appliances  

    E-Print Network (OSTI)

    Refrigerators Clothes Washers Dishwashers Economic VariablesWASHERS, AND DISHWASHERS……………………………3 Physical Household andclothes washers and dishwashers. In the context of

    Dale, Larry

    2008-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "national household travel" 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

    Table 3. Total Energy Consumption in U.S. Households by ...  

    U.S. Energy Information Administration (EIA)

    This write-up presents 1997 Residential Energy Consumption and Expenditures by Origin of Householder. In 1997, there were 101.5 million residential ...

    422

    U.S. household expenditures for gasoline account for nearly 4% ...  

    U.S. Energy Information Administration (EIA)

    Gasoline expenditures in 2012 for the average U.S. household reached $2,912, or just under 4% of income before taxes, according to EIA estimates.

    423

    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

    424

    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

    425

    DOE/EIA-0193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY  

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

    193/P 193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY OFFICE OF THE CONSUMPTION DATA SYSTEM OFFICE OF PROGRAM DEVELOPMENT ENERGY INFORMATION ADMINISTRATION AUGUST 1, 1979 PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY Attached is the first report of the Office of the Consumption Data System, Office of Program Development, Energy Information Administration, presenting preliminary data from the National Interim Energy Consumption Survey (NIECS). The focus of this report is the conservation activities performed by households since January 1977, and the status of households with respect to insulation, storm windows, and other energy conserving characteristics. These tables are from preliminary data files.

    426

    Historical GIS as a Platform for Public Memory at Mammoth Cave National Park  

    Science Conference Proceedings (OSTI)

    The Mammoth Cave Historical GIS (MCHGIS) fosters new understandings of a national park landscape as a historic farming community and offers a web-based platform for public memory of pre-park inhabitants. It maps the 1920 manuscript census at the household ... Keywords: Historical GIS, Kentucky, Mammoth Cave, National Parks, Public Memory, Public Participation GIS, Virtual Community Building

    Katie Algeo; Ann Epperson; Matthew Brunt

    2011-10-01T23:59:59.000Z

    427

    National Woodfuels and Wood Energy Information Analysis Prepared by: Sok Bun Heng  

    E-Print Network (OSTI)

    supplies. - 90 % of wood energy is consumed by households. - Industry is only a very small consumer of wood % Charcoal 1.2 %, other biomass 1.7 % and imported petroleum product. The most recent national energy supply balance indicates traditional fuels contribute 85 % of the national energy supply, of which 80

    428

    Users and households appliances: design suggestions for a better, sustainable interaction  

    Science Conference Proceedings (OSTI)

    The Human Machine Interaction has a big role in the user approach with households appliances. During the main phase (the use one), users are called to manage energy choices, often without available efficient information regarding the best behavior they ... Keywords: energy saving, households appliances, interaction design, interfaces, sustainability

    Anna Zandanel

    2011-09-01T23:59:59.000Z

    429

    A Comprehensive Model for Evaluation of Carbon Footprint and Greenhouse Gages Emission in Household Biogas Plants  

    Science Conference Proceedings (OSTI)

    Based on Life Cycle Assessment and other related methods, this paper introduced a comprehensive model for the evaluation of the carbon footprint and greenhouse gases emission in household biogas plants including nearly all the processes of the household ... Keywords: Biogas Plant, Carbon Footprint, Life Cycle, Greenhouse Gas

    Jie Zhou; Shubiao Wu; Wanqin Zhang; Changle Pang; Baozhi Wang; Renjie Dong; Li Chen

    2012-07-01T23:59:59.000Z

    430

    An examination of how households share and coordinate the completion of errands  

    Science Conference Proceedings (OSTI)

    People often complete tasks and to-dos not only for themselves but also for others in their household. In this work, we examine how household members share and accomplish errands both individually and together. We conducted a three-week diary study with ... Keywords: cooperative errands, coordination, families, roommates

    Timothy Sohn; Lorikeet Lee; Stephanie Zhang; David Dearman; Khai Truong

    2012-02-01T23:59:59.000Z

    431

    A spotlight on security and privacy risks with future household robots: attacks and lessons  

    Science Conference Proceedings (OSTI)

    Future homes will be populated with large numbers of robots with diverse functionalities, ranging from chore robots to elder care robots to entertainment robots. While household robots will offer numerous benefits, they also have the potential to introduce ... Keywords: cyber-physical systems, domestic robots, household robots, multi-robot attack, privacy, robots, security, single-robot attack, ubiquitous robots

    Tamara Denning; Cynthia Matuszek; Karl Koscher; Joshua R. Smith; Tadayoshi Kohno

    2009-09-01T23:59:59.000Z

    432

    Have You Seen Renewable Energy Projects While Traveling? | Department of  

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

    Seen Renewable Energy Projects While Traveling? Seen Renewable Energy Projects While Traveling? Have You Seen Renewable Energy Projects While Traveling? July 7, 2011 - 8:32am Addthis Since we blog about energy efficiency and renewable energy, it seems fitting that we would notice it even when we're not at work. This past Tuesday, Chris shared his first-hand views of Hawaii's renewable energy efforts while on vacation, including wind and solar, and did some post-vacation research that revealed some great information about how Hawaii is using renewable resources to achieve 70% clean energy by 2030. We're curious: Have you ever been on vacation or a business trip and noticed how another state is using renewable energy? Each Thursday, you have the chance to share your thoughts on a question about energy efficiency or renewable energy for consumers. E-mail your

    433

    MONDAY: Secretary Chu Travels to New Jersey and Philadelphia | Department  

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

    MONDAY: Secretary Chu Travels to New Jersey and Philadelphia MONDAY: Secretary Chu Travels to New Jersey and Philadelphia MONDAY: Secretary Chu Travels to New Jersey and Philadelphia September 24, 2010 - 12:00am Addthis WASHINGTON - On Monday, September 27, 2010, U.S. Energy Secretary Steven Chu and Representative Rush Holt will tour Applied Photovoltaics. With help from a Recovery Act-funded $1.1 million clean energy manufacturing tax credit, Applied Photovoltaics will manufacture solar energy modules for use in building-integrated photovoltaics. In the afternoon, Secretary Chu will tour the Princeton Plasma Physics Laboratory and speak to employees. He will then join Pennsylvania Governor Ed Rendell, Philadelphia Mayor Michael Nutter and other officials in an event highlighting the Energy Innovation Hub for energy-efficient buildings

    434

    Secretary Chu Travels to Memphis | Department of Energy  

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

    Travels to Memphis Travels to Memphis Secretary Chu Travels to Memphis January 31, 2011 - 2:33pm Addthis Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs What does this project do? The Sharp solar manufacturing plant has produced more than 2 million solar panels since 2002, increased its staff from 300 to 480 employees over the last year, and produces enough solar paneling to power more than 140,000 homes. Worldwide, FedEx Express is operating 329 hybrid and 19 all-electric vehicles, reducing fuel use by almost 300,000 gallons and carbon dioxide emissions by approximately 3,000 metric tons. Hero_CHU_Sharp Secretary Steven Chu with Sharp executive T.C. Jones, standing in front of some of Sharp's solar panels. Following the State of the Union on Tuesday and his online town hall on

    435

    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?

    436

    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?

    437

    Household energy handbook: an interim guide and reference manual. World Bank technical paper  

    SciTech Connect

    A standard framework for measuring and assessing technical information on the household energy sector in developing countries is needed. The handbook is intended as a first step toward creating such a framework. Chapter I discusses energy terms and principles underlying the energy units, definitions, and calculations presented in the following chapters. Chapter II describes household consumption patterns and their relationship to income, location, and household-size variables. Chapter III evaluates energy end uses and the technologies that provide cooking, lighting, refrigeration, and space-heating services. Chapter IV examines household energy resources and supplies, focusing on traditional biomass fuels. Finally, Chapter V demonstrates simple assessment methods and presents case studies to illustrate how household energy data can be used in different types of assessments.

    Leach, G.; Gowen, M.

    1987-01-01T23:59:59.000Z

    438

    The Department of Energy's Management of Foreign Travel, IG-0872  

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

    The Department of Energy's Management of Foreign Travel DOE/IG-0872 October 2012 U.S. Department of Energy Office of Inspector General Office of Audits and Inspections Department of Energy Washington, DC 20585 October 16, 2012 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Management Alert: "The Department of Energy's Management of Foreign Travel" INTRODUCTION The Department of Energy and its workforce of 116,000 Federal and contractor personnel have numerous international exchanges and interactions at different levels and for a variety of important programmatic and other purposes. The Office of Inspector General is currently reviewing the Department's management of international offices and foreign assignments. As

    439

    Greenhouse Earth: A Traveling Exhibition. Final report, September 1, 1991--August 31, 1992  

    SciTech Connect

    The Franklin Institute Science Museum provided an exhibit entitled the Greenhouse Earth: A Traveling Exhibition. This 3500 square-foot exhibit on global climate change was developed in collaboration with the Association of Science-Technology Centers. The exhibit opened at The Franklin Institute on February 14, 1992, welcoming 291,000 visitors over its three-month stay. During its three-year tour, Greenhouse Earth will travel to ten US cities, reaching two million visitors. Greenhouse Earth aims to deepen public understanding of the scientific issues of global warming and the conservation measures that can be taken to slow its effects. The exhibit features hands-on exhibitry, interactive computer programs and videos, a theater production, a ``demonstration cart,`` guided tours, and lectures. supplemental educational programs at the Institute included a teachers preview, a symposium on climate change, and a ``satellite field trip.`` The development of Greenhouse Earth included front-end and formative evaluation procedures. Evaluation includes interviews with visitors, prototypes, and summative surveys for participating museums. During its stay in Philadelphia, Greenhouse Earth was covered by the local and national press, with reviews in print and broadcast media. Greenhouse Earth is the first large-scale museum exhibit to address global climate change.

    Booth, W.H.; Caesar, S.

    1992-09-01T23:59:59.000Z

    440

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

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

    Skip to main content Energy.gov Search form Search Energy.gov Public Services Tax Credits, Rebates & Savings Homes Vehicles Building Design Manufacturing National Security & Safety...

    Note: This page contains sample records for the topic "national household travel" 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

    Heating costs for most households are forecast to rise ...  

    U.S. Energy Information Administration (EIA)

    Solar › Energy in Brief ... Although winter temperatures are expected to be similar to last winter nationally, weather in the Northeast is expected to ...

    442

    Household Projection and Its Application to Health/Long-Term Care Expenditures in Japan Using INAHSIM-II  

    Science Conference Proceedings (OSTI)

    Using a microsimulation model named Integrated Analytical Model for Household Simulation (INAHSIM), the author conducted a household projection in Japan for the period of 2010â??2050. INAHSIM-II specifically means that the initial population is ... Keywords: dynamic micro simulation, health expenditure, household projection, initial population, long-term care expenditure, transition probabilities

    Tetsuo Fukawa

    2011-02-01T23:59:59.000Z

    443

    Exact graph search algorithms for generalized traveling salesman path problems  

    Science Conference Proceedings (OSTI)

    The Generalized Traveling Salesman Path Problem (GTSPP) involves finding the shortest path from a location s to a location t that passes through at least one location from each of a set of generalized location categories (e.g., gas stations, ...

    Michael N. Rice; Vassilis J. Tsotras

    2012-06-01T23:59:59.000Z

    444

    Travel Planning Online for Dummies, 2nd edition  

    Science Conference Proceedings (OSTI)

    From the Publisher:Find out how you can quickly and easily book plane tickets, rent a car and find a hotel room -- all with a few clicks of the mouse! Whether you're going on a short business strip or planning your dream vacation, Travel Planning ...

    Noah Vadnai; Julian Smith

    2000-01-01T23:59:59.000Z

    445

    Building robust Reputation Systems for travel-related services  

    Science Conference Proceedings (OSTI)

    There is a serious robust issue of building Reputation Systems for travel-related services, such as hotel, restaurant, etc. This paper proposes an advanced clustering approach, Suspicion Degree Meter (SDM), to rank suspects with respect to manipulative ... Keywords: Silicon,Indexes,Robustness,Analytical models,Feature extraction,Buildings,Context

    Huiying Duan; Peng Yang

    2012-07-01T23:59:59.000Z

    446

    Comparison of heuristics for the colourful travelling salesman problem  

    Science Conference Proceedings (OSTI)

    In the colourful travelling salesman problem CTSP, given a graph G with a not necessarily distinct label colour assigned to each edge, a Hamiltonian tour with the minimum number of different labels is sought. The problem is a variant of the well-known ...

    J. Silberholz; A. Raiconi; R. Cerulli; M. Gentili; B. Golden; S. Chen

    2013-05-01T23:59:59.000Z

    447

    Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the  

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

    Bay Area to Highlight Bay Area to Highlight State of the Union Address, Commitment to Clean Energy Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the Union Address, Commitment to Clean Energy January 31, 2012 - 7:38pm Addthis Washington, D.C. - As part of the Energy Department's ongoing efforts to highlight President Obama's State of the Union address and discuss the Obama Administration's commitment to American energy resources and innovation, tomorrow, Wednesday, February 1, U.S. Energy Secretary Steven Chu will headline a groundbreaking ceremony for Lawrence Berkeley National Laboratory's new Computational Research and Theory Facility, a cutting-edge supercomputing facility. Secretary Chu will also host a State of the Union Town Hall and take questions from students and faculty

    448

    BROOKHAVEN NATIONAL LABORATORY  

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

    Global and Regional Solutions ( GARS ) Directorate TRAVEL SAFETY This brochure contains helpful hints and ideas to improve your safety while on official travel, especially foreign travel. Several of the topics addressed have their own requirements for approval. It is your responsibility to fulfill them. July 2013 Cover Image Credit: NASA images by Reto Stöckli, based on data from NASA and NOAA. High resolution version at: http://visibleearth.nasa.gov/view.php?id=8108 Before the trip * Make travel arrangements through BNL Travel and verify their accuracy. * If performing work at non-DOE facilities, contact GARS Research Operations (x4265) to determine if Work Planning and/or a Radiation Work Permit are required. * Through BNL Travel, obtain a credit card for travel expenses. This is mandatory

    449

    Enterprise design for services : a systems approach for the Boeing next generation corporate travel system architecture  

    E-Print Network (OSTI)

    Typically a company's second largest controllable expense, corporate travel affects many employees at Boeing. A challenge when implementing improvements in the travel and expense system, which is actually comprised of a ...

    Silva, Hector E

    2010-01-01T23:59:59.000Z

    450

    Secretaries Chu and Locke to Travel to China Next Week | Department...  

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

    Secretaries Chu and Locke to Travel to China Next Week Secretaries Chu and Locke to Travel to China Next Week July 6, 2009 - 12:00am Addthis WASHINGTON -- Energy Secretary Steven...

    451

    Energy Secretary Steven Chu to Travel to Bay Area to Highlight...  

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

    Steven Chu to Travel to Bay Area to Highlight State of the Union Address, Commitment to Clean Energy Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the...

    452

    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)

    453

    A Reliable Natural Language Interface to Household Appliances  

    E-Print Network (OSTI)

    “I have always wished that my computer would be as easy to use as my telephone. My wish has come true. I no longer know how to use my telephone.” – Bjarne Stroustrop (originator of C++) As household appliances grow in complexity and sophistication, they become harder and harder to use, particularly because of their tiny display screens and limited keyboards. This paper describes a strategy for building natural language interfaces to appliances that circumvents these problems. Our approach leverages decades of research on planning and natural language interfaces to databases by reducing the appliance problem to the database problem; the reduction provably maintains desirable properties of the database interface. The paper goes on to describe the implementation and evaluation of the EXACT interface to appliances, which is based on this reduction. EXACT maps each English user request to an SQL query, which is transformed to create a PDDL goal, and uses the Blackbox planner [13] to map the planning problem to a sequence of appliance commands that satisfy the original request. Both theoretical arguments and experimental evaluation show that EXACT is highly reliable.

    Alexander Yates

    2003-01-01T23:59:59.000Z

    454

    Laboratory Testing of Demand-Response Enabled Household Appliances  

    SciTech Connect

    With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

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

    2013-10-01T23:59:59.000Z

    455

    Uncertainty and Sensitivity of Contaminant Travel Times from the Upgradient Nevada Test Site to the Yucca Mountain Area  

    Science Conference Proceedings (OSTI)

    Yucca Mountain (YM), Nevada, has been proposed by the U.S. Department of Energy as the nation’s first permanent geologic repository for spent nuclear fuel and highlevel radioactive waste. In this study, the potential for groundwater advective pathways from underground nuclear testing areas on the Nevada Test Site (NTS) to intercept the subsurface of the proposed land withdrawal area for the repository is investigated. The timeframe for advective travel and its uncertainty for possible radionuclide movement along these flow pathways is estimated as a result of effective-porosity value uncertainty for the hydrogeologic units (HGUs) along the flow paths. Furthermore, sensitivity analysis is conducted to determine the most influential HGUs on the advective radionuclide travel times from the NTS to the YM area. Groundwater pathways are obtained using the particle tracking package MODPATH and flow results from the Death Valley regional groundwater flow system (DVRFS) model developed by the U.S. Geological Survey (USGS). Effectiveporosity values for HGUs along these pathways are one of several parameters that determine possible radionuclide travel times between the NTS and proposed YM withdrawal areas. Values and uncertainties of HGU porosities are quantified through evaluation of existing site effective-porosity data and expert professional judgment and are incorporated in the model through Monte Carlo simulations to estimate mean travel times and uncertainties. The simulations are based on two steady-state flow scenarios, the pre-pumping (the initial stress period of the DVRFS model), and the 1998 pumping (assuming steady-state conditions resulting from pumping in the last stress period of the DVRFS model) scenarios for the purpose of long-term prediction and monitoring. The pumping scenario accounts for groundwater withdrawal activities in the Amargosa Desert and other areas downgradient of YM. Considering each detonation in a clustered region around Pahute Mesa (in the NTS operational areas 18, 19, 20, and 30) under the water table as a particle, those particles from the saturated zone detonations were tracked forward using MODPATH to identify hydraulically downgradient groundwater discharge zones and to determine the particles from which detonations will intercept the proposed YM withdrawal area. Out of the 71 detonations in the saturated zone, the flowpaths from 23 of the 71 detonations will intercept the proposed YM withdrawal area under the pre-pumping scenario. For the 1998 pumping scenario, the flowpaths from 55 of the 71 detonations will intercept the proposed YM withdrawal area. Three different effective-porosity data sets compiled in support of regional models of groundwater flow and contaminant transport developed for the NTS and the proposed YM repository are used. The results illustrate that mean minimum travel time from underground nuclear testing areas on the NTS to the proposed YM repository area can vary from just over 700 to nearly 700,000 years, depending on the locations of the underground detonations, the pumping scenarios considered, and the effective-porosity value distributions used. Groundwater pumping scenarios are found to significantly impact minimum particle travel time from the NTS to the YM area by altering flowpath geometry. Pumping also attracts many more additional groundwater flowpaths from the NTS to the YM area. The sensitivity analysis further illustrates that for both the pre-pumping and 1998 pumping scenarios, the uncertainties in effective-porosity values for five of the 27 HGUs considered account for well over 90 percent of the effective-porosity-related travel time uncertainties for the flowpaths having the shortest mean travel times to YM.

    J. Zhu; K. Pohlmann; J. Chapman; C. Russell; R.W.H. Carroll; D. Shafer

    2009-09-10T23:59:59.000Z

    456

    National Laboratories  

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

    Laboratories Los Alamos National Laboratory (the Laboratory) is one of 17 National Laboratories in the United States and is one of the two located in New Mexico. The Laboratory has...

    457

    NATIONAL CONFERENCE  

    Science Conference Proceedings (OSTI)

    ... Oak Room ... of the Secretariats, the US National Work Groups ... the continued cooperation with the International Laboratory Accreditation Cooperation ...

    2010-12-17T23:59:59.000Z

    458

    Monetary Policy and Household Mobility: The Effects of Mortgage Interest Rats.  

    E-Print Network (OSTI)

    Homeowner Mobility and Mortgage Interest Rates: New Evidencenew mortgages. Table 2 Basic Hazard Models of Household Mobility (mobility decisions are related to increases in family size, the existence of a new

    Quigley, John M.

    2005-01-01T23:59:59.000Z

    459

    Seasonality, precautionary savings and health uncertainty: Evidence from farm households in Central Kenya  

    E-Print Network (OSTI)

    on rural households in Kenya." World Development 32(1):91-Second report on poverty in Kenya. Incidence and depth ofPlanning. Government of Kenya. —. 2004. "Kenya Demographic

    Ndirangu, Lydia; Burger, Kees; Moll, Hank A.J.; Kuyvenhoven, Arie

    2009-01-01T23:59:59.000Z

    460

    Trends in the Use of Natural Gas in U.S. Households, 1987 to 2001  

    U.S. Energy Information Administration (EIA)

    used, the RECS is ideal as a data source so as to reveal the underlying factors behind the trends in energy demand--and in this paper, household natural gas demand.

    Note: This page contains sample records for the topic "national household travel" 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

    The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality  

    E-Print Network (OSTI)

    Advances in Corporate Householding are needed to address certain categories of data quality problems caused by data misinterpretation. In this paper, we first summarize some of these data quality problems and our more ...

    Madnick, Stuart

    2004-02-06T23:59:59.000Z

    462

    Table CE1-4c. Total Energy Consumption in U.S. Households by Type ...  

    U.S. Energy Information Administration (EIA)

    Table CE1-4c. Total Energy Consumption in U.S. Households by Type of Housing Unit, 1997 ... where the end use is electric air-conditioning, ...

    463

    Table CE1-1c. Total Energy Consumption in U.S. Households by ...  

    U.S. Energy Information Administration (EIA)

    Table CE1-1c. Total Energy Consumption in U.S. Households by Climate Zone, 2001 RSE Column Factor: Total Climate Zone1 RSE Row Factors Fewer than 2,000 CDD and --

    464

    Table CE1-10c. Total Energy Consumption in U.S. Households by ...  

    U.S. Energy Information Administration (EIA)

    Table CE1-10c. Total Energy Consumption in U.S. Households by Midwest Census Region, 2001 RSE Column Factor: Total U.S. Midwest Census Region RSE Row

    465

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

    E-Print Network (OSTI)

    10Tips to Spend Less on Household Goods Spend about $20 on a battery recharger. Over time, replace your used batteries with the kind you can use over and over again. 6 You can reuse plastic bags you get

    Tullos, Desiree

    466

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

    E-Print Network (OSTI)

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

    Green, Vanessa (Vanessa Layton)

    2008-01-01T23:59:59.000Z

    467

    Facts about FEMA Household Disaster Aid: Examining the 2008 Floods and Tornadoes in Missouri  

    Science Conference Proceedings (OSTI)

    Very little empirical work has been done on disaster aid in the United States. This paper examines postdisaster grants to households from the Federal Emergency Management Agency in the state of Missouri in 2008, when the state experienced flooding,...

    Carolyn Kousky

    2013-10-01T23:59:59.000Z

    468

    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

    469

    Table 4. LPG Consumption and Expeditures in U.S. Households by End ...  

    U.S. Energy Information Administration (EIA)

    Table 4. LPG Consumption and Expeditures in U.S. Households by End Uses and Census Region, 2001 RSE Column Factor: Total U.S. Census Region RSE Row

    470

    Table CE4-7c. Water-Heating Energy Consumption in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Table CE4-7c. Water-Heating Energy Consumption in U.S. Households by Four Most Populated States, 1997 RSE Column Factor: Total U.S. Four Most Populated States

    471

    Residential energy consumption survey. Consumption patterns of household vehicles, supplement: January 1981-September 1981  

    Science Conference Proceedings (OSTI)

    Information on the fuel consumption characteristics on household vehicles in the 48 contiguous States and the District of Columbia is presented by monthly statistics of fuel consumption, expenditures, miles per gallon, and miles driven.

    Not Available

    1983-02-01T23:59:59.000Z

    472

    Table CE2-7e. Space-Heating Energy Expenditures in U.S. Households ...  

    U.S. Energy Information Administration (EIA)

    Table CE2-7e. Space-Heating Energy Expenditures in U.S. Households by Four Most Populated States, 2001 RSE Column Factor: Total U.S. Four Most Populated States

    473

    Households to pay more than expected to stay warm this winter  

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

    stay warm this winter Following a colder-than-expected November, U.S. households are forecast to consume more heating fuels than previously expected....resulting in higher heating...

    474

    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

    475

    Calculating economic indexes per household and censal section from official Spanish databases  

    Science Conference Proceedings (OSTI)

    In the competitive environments, in which all sorts of organisations move it is of utmost importance to have information about clients. Public databases offer information about households and families. However, the non-crossed and non-georeferenced format ...

    Sonia Frutos; Ernestina Menasalvas; Cesar Montes; Javier Segovia

    2003-12-01T23:59:59.000Z

    476

    California Immigrant Households and Public Assistance Participation in the 1990s - Detailed Research Findings  

    E-Print Network (OSTI)

    Seon Lee. 1999. “Transitions from AFDC to Child Welfare inHouseholds Receiving AFDC/TANF by Recency of Entry, 1993?Earnings for Those Receiving AFDC/TANF, Table 7. Proportion

    2002-01-01T23:59:59.000Z

    477

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

    E-Print Network (OSTI)

    or 180 mile hybrid electric vehicle. Natural gas vehicles (1994) Demand for Electric Vehicles in Hybrid Households: A nof Electric, Hybrid and Other Alternative Vehicles. A r t h

    Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

    1996-01-01T23:59:59.000Z

    478

    Table HC6.11 Home Electronics Characteristics by Number of Household...  

    Gasoline and Diesel Fuel Update (EIA)

    1 Home Electronics Characteristics by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4 15.9 12.0...

    479

    Table CE5-2c. Appliances Energy Consumption in U.S. Households by ...  

    U.S. Energy Information Administration (EIA)

    Table CE5-2c. Appliances1 Energy Consumption in U.S. Households by Year of Construction, 2001 RSE Column Factor: Total Year of Construction RSE Row

    480

    Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings  

    E-Print Network (OSTI)

    characteristics on household residential choice and autobuilt environment and residential self-selection on nonworkof the built environment and residential self-selection on

    Cao, Xinyu; Mokhtarian, Patricia; Handy, Susan

    2008-01-01T23:59:59.000Z

    Note: This page contains sample records for the topic "national household travel" 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.


    481

    Examining the impacts of residential self-selection on travel behavior: A focus on methodologies  

    E-Print Network (OSTI)

    P. L. (2002). The impact of residential neighborhood type oncharacteristics on household residential choice and autobuilt environment and residential self-selection on nonwork

    Mokhtarian, Patricia L.; Cao, Xinyu

    2008-01-01T23:59:59.000Z

    482

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

    Science Conference Proceedings (OSTI)

    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

    483

    National Defense University (NDU) Nomination Package Checklist  

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

    - November 2012 - November 2012 National Defense University (NDU) Nomination Package Checklist SEND 2 COPIES OF THE NOMINATION PACKAGE TO THE NDU UNIVERSITY REGISTRAR'S OFFICE Each student nomination package must include the following items: NDU Student Nomination Form One official transcript (highest degree earned) One-page student biography or résumé (include education and career history) Two Letters of Recommendation World-Wide Travel Statement Statement of Purpose (No more than two pages) Signed National Defense University Privacy Act Statement Signed Education Release Form (if nominating agency requires copies of final student evaluation and/or transcript) SAC students must also include: Senior Acquisition Course Nomination Form

    484

    Travelers Rest, South Carolina: Energy Resources | Open Energy Information  

    Open Energy Info (EERE)

    Travelers Rest, South Carolina: Energy Resources Travelers Rest, South Carolina: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 34.9676167°, -82.4434548° 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":34.9676167,"lon":-82.4434548,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

    485

    Spent fuel utilization in a compact traveling wave reactor  

    SciTech Connect

    In recent years, several innovative designs of nuclear reactors are proposed. One of them is Traveling Wave Reactor (TWR). The unique characteristic of a TWR is the capability of breeding its own fuel in the reactor. The reactor is fueled by mostly depleted, natural uranium or spent nuclear fuel and a small amount of enriched uranium to initiate the fission process. Later on in the core, the reactor gradually converts the non-fissile material into the fissile in a process like a traveling wave. In this work, a TWR with spent nuclear fuel blanket was studied. Several parameters such as reactivity coefficients, delayed neutron fraction, prompt neutron generation lifetime, and fission power, were analyzed. The discharge burnup composition was also analyzed. The calculation is performed by a continuous energy Monte Carlo code McCARD.

    Hartanto, Donny; Kim, Yonghee [Korea Advanced Institute of Science and Technology 373-1 Kusong-dong, Yuseong-gu, Daejeon, 305-701 (Korea, Republic of)

    2012-06-06T23:59:59.000Z

    486

    Dendritic Actin Filament Nucleation Causes Traveling Waves and Patches  

    E-Print Network (OSTI)

    The polymerization of actin via branching at a cell membrane containing nucleation-promoting factors is simulated using a stochastic-growth methodology. The polymerized-actin distribution displays three types of behavior: a) traveling waves, b) moving patches, and c) random fluctuations. Increasing actin concentration causes a transition from patches to waves. The waves and patches move by a treadmilling mechanism which does not require myosin II. The effects of downregulation of key proteins on actin wave behavior are evaluated.

    Anders E. Carlsson

    2010-05-28T23:59:59.000Z

    487

    Inspection of the Secretary of Energy`s foreign travel  

    SciTech Connect

    On December 9, 1995, the Secretary of Energy requested that the Department`s Inspector General (IG) conduct a thorough examination of all Secretarial foreign travel from 1993 to December 1995 to include the purpose of each trip, the activities of each Federal participant in each trip, the funding of each trip, and claims for reimbursements for expenses by Federal trip participants. The Secretary also requested that the review include an assessment of travel authorization, voucher, traveler reimbursement, and auditing systems employed by the Department to identify steps that could be taken to reduce errors and improve accounting oversight. Additionally, the Secretary requested that the Inspector General conduct a thorough examination of the establishment and filling of the Department`s Ombudsman position. The Office of Inspector General (OIG) initiated a review into these matters and assigned primary responsibility for the review to the Office of Inspections. The purpose of this inspection was to conduct a thorough examination of the 16 Secretarial foreign trips from June 1993 to December 1995. This report focuses on the four trade missions because of their extent and cost. We examined a number of Departmental management systems and processes involved in planning and executing the 16 foreign trips. To determine the actual cost of the 16 trips, it was necessary to determine who participated in the trips and to identify the individual travel costs. We were required to perform extensive reviews of records and conduct a large number of interviews because the Department could not provide any specific documents that could accurately account for who actually participated on the 16 trips. Having identified who participated, it was then necessary to examine key aspects of the Department`s management systems. Our report contains 31 recommendations for corrective action.

    1996-10-07T23:59:59.000Z

    488

    Laboratory Evaluation of Fine-mesh Traveling Water Screens  

    Science Conference Proceedings (OSTI)

    This report presents final results of four years of laboratory evaluations on performance of fine-mesh traveling water screens to protect larval fish at cooling water intake structures (CWISs). Prior to this study, the biological effectiveness of fine-mesh screens was uncertain because performance data from the few existing facilities that use fine-mesh screens have been highly variable. This project is producing additional data necessary to determine biological efficacy of fine-mesh screens.

    2010-12-21T23:59:59.000Z

    489

    Travel motivations to selected national parks in South Africa : Karoo-, Tsitsikamma- and Kgalagadi Transfrontier National Parks / L. Bothma.  

    E-Print Network (OSTI)

    ??Research in tourist behaviour follows the cognitive approach. This contains the behavioural cycle of stimulation (motivation and intention formation), the actual behaviour and experience, and… (more)

    Bothma, Lee-Ann

    2009-01-01T23:59:59.000Z

    490

    Overview of CFC replacement issues for household refrigeration  

    Science Conference Proceedings (OSTI)

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

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

    1991-01-01T23:59:59.000Z

    491

    Overview of CFC replacement issues for household refrigeration  

    Science Conference Proceedings (OSTI)

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

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

    1991-12-31T23:59:59.000Z

    492

    Molten metal feed system controlled with a traveling magnetic field  

    DOE Patents (OSTI)

    A continuous metal casting system in which the feed of molten metal is controlled by means of a linear induction motor capable of producing a magnetic traveling wave in a duct that connects a reservoir of molten metal to a caster. The linear induction motor produces a traveling magnetic wave in the duct in opposition to the pressure exerted by the head of molten metal in the reservoir so that p.sub.c =p.sub.g -p.sub.m where p.sub.c is the desired pressure in the caster, p.sub.g is the gravitational pressure in the duct exerted by the force of the head of molten metal in the reservoir, and p.sub.m is the electromagnetic pressure exerted by the force of the magnetic field traveling wave produced by the linear induction motor. The invention also includes feedback loops to the linear induction motor to control the casting pressure in response to measured characteristics of the metal being cast.

    Praeg, Walter F. (Palos Park, IL)

    1991-01-01T23:59:59.000Z

    493

    Molten metal feed system controlled with a traveling magnetic field  

    DOE Patents (OSTI)

    An apparatus for controlling the feed of molten metal in a continuous metal casting system comprising a linear induction motor capable of producing a magnetic traveling wave in a duct that connects a reservoir of molten metal to a caster. The linear induction motor produces a traveling magnetic wave in the duct in opposition to the pressure exerted by the head of molten metal in the reservoir so that p{sub c} = p{sub g} {minus} p{sub m} where p{sub c} is the desired pressure in the caster, p{sub g} is the gravitational pressure in the duct exerted by the force of the head of molten metal in the reservoir, and p{sub m} is the electromagnetic pressure exerted by the force of the magnetic field traveling wave produced by the linear induction motor. The invention also includes feedback loops to the linear induction motor to control the casting pressure in response to measured characteristic of the metal being cast. 8 figs.

    Praeg, W.F.

    1989-03-06T23:59:59.000Z

    494

    How Do You Go Green When You Travel? | Department of Energy  

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

    Go Green When You Travel? Go Green When You Travel? How Do You Go Green When You Travel? September 30, 2010 - 7:30am Addthis On Monday, John told you about green travel and a program in his area that allows lodging facilities to verify that they are practicing green activities. Many of the activities, however, require that travelers take the step to be green. Choices such as less frequent linen service are opportunities to save water and energy while traveling. How do you go green when you travel? E-mail your responses to the Energy Saver team at consumer.webmaster@nrel.gov. Addthis Related Articles How Do You Reduce the Amount of Energy Used by Your Televisions? How Would You Use a Smart Meter to Manage Your Energy Use? How Has a Ceiling Fan Affected the Way You Heat and Cool Your Home

    495

    Residential Energy Consumption Survey: Consumption and expenditures, April 1984 through March 1985: Part 1, National data  

    Science Conference Proceedings (OSTI)

    This report presents data collected in the 1984 Residential Energy Consumption Survey (RECS) conducted by the Energy Information Administration (EIA). The 1984 RECS was the sixth national survey of US households and their energy suppliers. The purpose of these surveys is to provide baseline information on how households use energy. Households in all types of housing units - single family homes (including townhouses), apartments, and mobile homes - were chosen to participate. Data from the surveys are available to the public in published reports such as this one and on public-use data tapes. The report presents data on the US consumption and expenditures for residential use of these ''major fuels'' - natural gas, electricity, fuel oil, kerosene, and liquefied petroleum gas (LPG) - from April 1984 through March 1985. These data are presented in tables in the Detailed Statistics section of this report. Except for kerosene and wood fuel, the consumption and expenditures data are based on actual household bills obtained, with the permission of the household, from the companies supplying energy to the household. Purchases of kerosene are based on respondent reports because records of ''cash and carry'' purchases of kerosene for individual households are usually unavailable. Data on the consumption of wood fuel (Table 27) covers the 12-month period ending November 1984 and are based on respondent recall of the amount of wood burned during the 12-month period. Both the kerosene and wood consumption data are subject to memory errors and other reporting errors. This report does not cover household use of motor fuel, which is reported separately.

    Not Available

    1987-03-04T23:59:59.000Z

    496

    National Report  

    Science Conference Proceedings (OSTI)

    ... A methodology for grade calculation and a glossary of terms can be found at the back, along with the 2013 National Scorecard. ... Category Glossary ...

    2013-07-29T23:59:59.000Z

    497

    Patterns of rural household energy use: a study in the White Nile province - the Sudan  

    Science Conference Proceedings (OSTI)

    The study investigates rural household domestic energy consumption patterns in a semiarid area of the Sudan. It describes the socioeconomic and evironmental context of energy use, provides an estimation of local woody biomass production and evaluates ecological impacts of increased energy demand on the local resource base. It is based on findings derived from field surveys, a systematic questionnaire and participant observations. Findings indicate that households procure traditional fuels by self-collection and purchases. Household members spent on average 20% of their working time gathering fuels. Generally per caput and total annual expenditure and consumption of domestic fuels are determined by household size, physical availability, storage, prices, income, conservation, substitution and competition among fuel resource uses. Households spend on average 16% of their annual income