National Library of Energy BETA

Sample records for household survey id

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

    OpenEI (Open Energy Information) [EERE & EIA]

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

  2. Transferring 2001 National Household Travel Survey

    SciTech Connect

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

    2007-05-01

    Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle

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

    Energy Information Administration (EIA) (indexed site)

    Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08...

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

    SciTech Connect

    Figueroa, M.J.; Sathaye, J.

    1993-08-01

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

  5. Survey of Recipients of WAP Services Assessment of Household Budget and Energy Behaviors Pre to Post Weatherization DOE

    SciTech Connect

    Tonn, Bruce Edward; Rose, Erin M.; Hawkins, Beth A.

    2015-10-01

    This report presents results from the national survey of weatherization recipients. This research was one component of the retrospective and Recovery Act evaluations of the U.S. Department of Energy s Weatherization Assistance Program. Survey respondents were randomly selected from a nationally representative sample of weatherization recipients. The respondents and a comparison group were surveyed just prior to receiving their energy audits and then again approximately 18 months post-weatherization. This report focuses on budget issues faced by WAP households pre- and post-weatherization, whether household energy behaviors changed from pre- to post, the effectiveness of approaches to client energy education, and use and knowledge about thermostats.

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

    SciTech Connect

    Hwang, Ho-Ling; Reuscher, Tim; Wilson, Daniel W; Murakami, Elaine

    2013-01-01

    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.

  7. Residential energy use and conservation in Venezuela: Results and implications of a household survey in Caracas

    SciTech Connect

    Figueroa, M.J.; Ketoff, A.; Masera, O.

    1992-10-01

    This document presents the final report of a study of residential energy use in Caracas, the capital of Venezuela. It contains the findings of a household energy-use survey held in Caracas in 1988 and examines options for introducing energy conservation measures in the Venezuelan residential sector. Oil exports form the backbone of the Venezuelan economy. Improving energy efficiency in Venezuela will help free domestic oil resources that can be sold to the rest of the world. Energy conservation will also contribute to a faster recovery of the economy by reducing the need for major investments in new energy facilities, allowing the Venezuelan government to direct its financial investments towards other areas of development. Local environmental benefits will constitute an important additional by-product of implementing energy-efficiency policies in Venezuela. Caracas`s residential sector shows great potential for energy conservation. The sector is characterized by high saturation levels of major appliances, inefficiency of appliances available in the market, and by careless patterns of energy use. Household energy use per capita average 6.5 GJ/per year which is higher than most cities in developing countries; most of this energy is used for cooking. Electricity accounts for 41% of all energy use, while LPG and natural gas constitute the remainder. Specific options for inducing energy conservation and energy efficiency in Caracas`s residential sector include energy-pricing policies, fuel switching, particularly from electricity to gas, improving the energy performance of new appliances and customer information. To ensure the accomplishment of an energy-efficiency strategy, a concerted effort by energy users, manufacturers, utility companies, government agencies, and research institutions will be needed.

  8. Household Vehicles Energy Use Cover Page

    Energy Information Administration (EIA) (indexed site)

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

  9. ID@Work

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ID@Work ID@Work ID@Work is a video feature that introduces DOE-ID employees and the jobs they perform. These videos are created in Windows Media Video (wmv) format and have no ...

  10. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2001 2 HC2-12a. Household Characteristics by West Census Region, Million U.S. Households, 2001 2 These data are from the 2001 Residential Energy Consumption Survey ...

  11. 4-ID beamline layout

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Sector 4 beamline layout Overview Sector 4 uses a canted undulator straight section to operate two beamlines The 4-ID-C beamline operates between 500 and 3000 eV while the 4-ID-D...

  12. Household vehicles energy consumption 1994

    SciTech Connect

    1997-08-01

    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.

  13. Beamline 29-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    & Milestones IEX Advisory Committees FDR Beamline Information RSXS ARPES APS Ring Status Current APS Schedule Intermediate Energy X-Rays (29-ID): The Intermediate Energy...

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 5: April 6, 2009 Household Gasoline Expenditures by Income Fact #565: April 6, 2009 Household Gasoline Expenditures by Income In the annual Consumer Expenditure Survey, household incomes are grouped into five equal parts called quintiles (each quintile is 20%). Households in the second and third quintiles consistently have a higher share of spending on gasoline each year than households in the other quintiles. Household Gasoline Expenditures by Income Quintile Bar graph

  15. T ID CODE I

    National Nuclear Security Administration (NNSA)

    T ID CODE I DE- , I AC52- AMENDMENT OF SOLICITATIONMODIFICATlON OF CONTRACT I. CONTRAC I 06NA25396 I Los Alamos National Security, LLC 4200 West Jernez Road Suite 400 Los Alamos, ...

  16. DOI-BLM-ID-T020-2012-0003-CX | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ID-T020-2012-0003-CX Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-T020-2012-0003-CX CX for GeothermalExploration CX for Seismic Survey at ?? Geothermal...

  17. Household energy consumption and expenditures, 1990

    SciTech Connect

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  18. Household magnets

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Household magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to put it back

  19. Survey Consumption

    Annual Energy Outlook

    purchase diaries from a subset of respondents composing a Household Transportation Panel and is reported separately. Residential Energy Consumption Survey: Consumption and...

  20. 4-ID-D optics

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4-ID-D Beamline Optics A schetch of the major optical components for beam line 4-ID-D are shown above. All these components located in the B-station upstream from the D...

  1. Real ID Act in brief

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Real Estate Approvals Real Estate Approvals Real Estate Approvals Policy Flash 2011-61, Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate (attachment)

    Badging, Badge Office » Real ID Act in brief Real ID Act in brief Effective Nov. 3, 2014, the Lab will implement requirements of the REAL ID Act. Contact Badge Office (505) 667-6901 Email REAL ID Act in brief REAL ID is a coordinated effort by the states and the Federal Government to improve the reliability and

  2. Blind Modal ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Projects » Blind Modal ID Blind separation of high-resolution vibration modes High-resolution video camera measurement of the structural vibration (the top video) could be separated into individual, monotone, vibration modes, which enable high-resolution visualization and analysis of structural dynamics. Contact Yongchao Yang (832) 335-3003 Email David Mascarenas dmascarenas@lanl.gov (505) 665-0881 Original video = Mode 1 - 6.34 Hz + Mode 2 - 17.96 Hz + Mode 3 - 25.89 Hz (higher

  3. National Radon Database. Volume 4. The EPA/state residential radon surveys: CA, HI, ID, LA, NE, NV, NC, OK, SC, the Navajo Nation, and the Billings, MT IHS Area 1989-1990 (5 1/4 inch, 1. 2mb) (for microcomputers). Data file

    SciTech Connect

    Not Available

    1990-01-01

    The National Radon Database (NRDB) was developed by the United States Environmental Protection Agency (USEPA) to distribute information in two recent radon surveys: the EPA/State Residential Radon Surveys and the National Residential Radon Survey. The National Residential Radon Surveys collected annual average radon measurements on all levels of approximately 5,700 homes nationwide. Information collected during survey includes a detailed questionnaire on house characteristics, as well as radon measurements. The radon survey data for Volume 6 is contained on two diskettes. The data diskettes are accompanied by comprehensive documentation on the design and implementation of the survey, the development and use of sampling weights, a summary of survey results, and information concerning the household questionnaire.

  4. National Radon Database. Volume 4. The EPA/state residential radon survey: CA, HI, ID, LA, NE, NV, NC, OK, SC, the Navajo Nation, and the Billings, MT IHS Area 1989-1990 (3 1/2 inch, 1. 44mb) (for microcomputers). Data file

    SciTech Connect

    Not Available

    1990-01-01

    The National Radon Database (NRDB) was developed by the United States Environmental Protection Agency (USEPA) to distribute information in two recent radon surveys: the EPA/State Residential Radon Surveys and the National Residential Radon Survey. The National Residential Radon Surveys collected annual average radon measurements on all levels of approximately 5,700 homes nationwide. Information collected during survey includes a detailed questionnaire on house characteristics, as well as radon measurements. The radon survey data for Volume 6 is contained on two diskettes. The data diskettes are accompanied by comprehensive documentation on the design and implementation of the survey, the development and use of sampling weights, a summary of survey results, and information concerning the household questionnaire.

  5. DHSIsotopeID

    Energy Science and Technology Software Center

    2007-12-18

    DHSIsotopeID is an application designed to read and analyze radiation measurement files taken by radiation measurement files taken by radiation portal monitors, and in particular, by the advanced spectroscopic portals. It requires that the data files be in the N42 file format, compliant with the interface control documents for DNDO radiation measurement files. It carries out an automated analysis to determine which isotopes are present in the spectra, and then presents the results in graphicalmore » form to the user. It also enables further post-processing and analysis, for example by performing further analysis on selected regions of interest of the spectrum, as designated by the user via the graphical interface.« less

  6. Determinants of Household Use of Selected Energy Star Appliances - Energy

    Gasoline and Diesel Fuel Update

    Information Administration Determinants of Household Use of Selected Energy Star Appliances Release date: May 25, 2016 Introduction According to the 2009 Residential Energy Consumption Survey (RECS), household appliances1accounted for 35% of U.S. household energy consumption, up from 24% in 1993. Thus, improvements in the energy performance of residential appliances as well as increases in the use of more efficient appliances can be effective in reducing household energy consumption and

  7. EIA - Household Transportation report: Household Vehicles Energy...

    Energy Information Administration (EIA) (indexed site)

    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....

  8. Household energy consumption and expenditures 1993

    SciTech Connect

    1995-10-05

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

  9. APS Beamline 6-ID-B,C

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6-ID-B,C Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-B,C Beamline 6-ID-B,C is operated by the Magnetic Materials Group in the...

  10. APS Beamline 6-ID-D

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    MM-Group Home MMG Advisory Committees 6-ID-D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the...

  11. Household energy consumption and expenditures, 1990. [Contains Glossary

    SciTech Connect

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  12. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    June 5, 2013 DOE-ID Operations Summary For the Period May 16, through May 30, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC - Shannon Brennan, DOE-ID, (208) 526-3993.

  13. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    24, 2013 DOE-ID Operations Summary For the Period May 30, 2013 through June 12, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC - Shannon Brennan, DOE-ID, (208) 526-3993.

  14. DOE-ID Twitter Site

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Bradley Bugger doeidbug Bradley Bugger Want to know what's going on at DOE-Idaho? Follow DOE-ID public affairs supervisor Brad Bugger on Twitter at doeidbug. https://twitter.com/#!/doeidbug Editorial Date May 9, 2911 By Brad Bugger

  15. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    07, 2013 DOE-ID Operations Summary For the Period July 8, 2013 through July 28, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709. Advanced

  16. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6, 2013 DOE-ID Operations Summary For the Period July 29, 2013 through August 12, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709. Advanced

  17. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    10, 2013 DOE-ID Operations Summary For the Period August 12, 2013 through August 26, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709.

  18. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5, 2013 DOE-ID Operations Summary For the Period August 26, 2013 through September 30, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709.

  19. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    8, 2013 DOE-ID Operations Summary For the Period September 30, 2013 through October 31, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709.

  20. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6, 2014 DOE-ID Operations Summary For the Period November 01, 2013 through November 30, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709.

  1. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    27, 2014 DOE-ID Operations Summary For the Period December 01, 2013 through January 15, 2014 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709.

  2. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3, 2015 Updated on April 28, 2015 DOE-ID Operations Summary For the Period September 30, 2014 through November 1, 2014 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle

  3. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    7, 2015 DOE-ID Operations Summary For the Period January 1, 2015 - January 31, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709.

  4. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6, 2015 DOE-ID Operations Summary For the Period February 1, 2015 - February 28, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709.

  5. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3, 2015 DOE-ID Operations Summary For the Period March 1, 2015 -March 31, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709. Advanced

  6. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1, 2015 DOE-ID Operations Summary For the Period April 1, 2015 - April 30, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information about health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709.

  7. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4, 2015 DOE-ID Operations Summary For the Period May 1, 2015 - May 31, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709. Advanced

  8. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    25, 2015 DOE-ID Operations Summary For the Period June 1, 2015 - June 30, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709. Advanced

  9. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    December 2, 2015 DOE-ID Operations Summary For the Period September 1, 2015 - September 30, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208)

  10. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    7, 2015 DOE-ID Operations Summary For the Period August 1, 2015 - August 31, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709.

  11. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    February 11, 2016 DOE-ID Operations Summary For the Period November 1, 2015 - November 30, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208)

  12. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    December 1, 2015 -December 31, 2015 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709. Idaho Operations Office (DOE-ID) December 17: The

  13. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    31, 2016 DOE-ID Operations Summary For the Period April 1-April 31, 2016 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709. Advanced Mixed

  14. DOE-ID Operations Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1, 2016 DOE-ID Operations Summary For the Period March 1-March 31, 2016 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory Site, managed by the DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC: Danielle Miller, (208) 526-5709. Advanced Mixed

  15. APS Beamline 6-ID-B,C

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    B,C Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-B,C Beamline 6-ID-B,C is operated by the Magnetic Materials Group in the X-ray...

  16. APS Beamline 6-ID-D

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the Magnetic Materials Group in the X-ray Science...

  17. DOE-ID Mission and Vision

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ID Mission and Vision You are here: DOE-ID Home > Inside ID > Our Mission and Vision The Idaho Operations Office (DOE-ID)/INL mission is: To develop and deliver cost-effective solutions to both fundamental and advanced challenges in nuclear energy and other energy resources, national security, and environmental management. The Department's expectations of its operations offices and laboratories are: to advance the national, economic and energy security of the United States; to promote

  18. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  19. DOE Data ID Service - Digital object identifiers for DOE scientific...

    Office of Scientific and Technical Information (OSTI)

    DOE Data ID Service DataCite | Contact DOE Data ID Service DOE Data ID Service DOE Data ID Service The DOE Office of Scientific and Technical Information (OSTI) offers a service ...

  20. Employee Assistance Self-ID Form | Department of Energy

    Energy Saver

    Employee Assistance Self-ID Form Employee Assistance Self-ID Form Request Emergency Assistance Self-ID Form-HQ Employee Assistance Self-ID Form (93.71 KB) More Documents & ...

  1. Try This: Household Magnets

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Household Magnets Household Magnets Chances are very good that you have experimented with magnets. People have been fascinated with magnetism for thousands of years. As familiar to us as they may be, magnets still have some surprises for us. Here is a small collection of some of our favorite magnet experiments. What happens when we break a magnet in half? Radio Shack sells cheap ceramic magnets in several shapes. Get a ring shaped magnet and break it with pliers or a tap with a hammer. Try to

  2. Surveys

    Energy.gov [DOE]

    Surveys can be a useful way to gauge the opinions of your readers and learn more about your website's audiences, but you'll often need approval from the Office of Management and Budget (OMB) to run...

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

    SciTech Connect

    Guerin, D.A.

    1988-01-01

    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 = <.05) relationship between the dependent-variable energy-consumption change and the predictor variables heating degree days, addition of insulation, addition of a wood-burning stove, year the housing unit was built, and weighted number of appliances. A significant (p = <.05) relationship was found between the criterion variable energy-consumption change and the discriminating variables of age of the head of the household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

  4. Microsoft Word - DOE-ID-INL-14-015.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 CX Posting No.: DOE-ID-INL-14-015 SECTION A. Project Title: United States Geological Survey (USGS) Geotechnical Drilling for USGS-142 and USGS-143 SECTION B. Project Description: The U.S. Geological Survey (USGS) proposes to continuously core geotechnical boreholes USGS-142 and USGS-143 to a depth of 1,000 and 2,000 ft below land surface, respectively. Boreholes USGS-142 and USGS-143 would be constructed as monitoring wells and used to measure and collect aquifer data. Borehole USGS-142 (see

  5. Household energy consumption and expenditures, 1987

    SciTech Connect

    Not Available

    1989-10-10

    Household Energy Consumption and Expenditures 1987, Part 1: National Data is the second publication in a series from the 1987 Residential Energy Consumption Survey (RECS). It is prepared by the Energy End Use Division (EEUD) of the Office of Energy Markets and End Use (EMEU), Energy Information Administration (EIA). The EIA collects and publishes comprehensive data on energy consumption in occupied housing units in the residential sector through the RECS. 15 figs., 50 tabs.

  6. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ...

  7. usage_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Usage Indicators by South Census Region, Million U.S. Households, 2001 5 HC6-12a. Usage Indicators by West Census Region, Million U.S. Households, 2001 5 These data are from the ...

  8. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    Home Office Equipment by South Census Region, Million U.S. Households, 2001 1 HC7-12a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 1 These data are ...

  9. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.5 Total .............................................................. 107.0 20.3 14.8 5.4 NE Household Size 1 Person ...................................................... 28.2 6.0 4.4 1.6 3.5 2 Persons

  10. R&D100: IC ID

    SciTech Connect

    Hamlet, Jason; Pierson, Lyndon; Bauer, Todd

    2015-11-19

    Supply chain security to detect, deter, and prevent the counterfeiting of networked and stand-alone integrated circuits (ICs) is critical to cyber security. Sandia National Laboratory researchers have developed IC ID to leverage Physically Unclonable Functions (PUFs) and strong cryptographic authentication to create a unique fingerprint for each integrated circuit. IC ID assures the authenticity of ICs to prevent tampering or malicious substitution.

  11. Household energy consumption and expenditures 1987

    SciTech Connect

    Not Available

    1990-01-22

    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.

  12. New York Household Travel Patterns: A Comparison Analysis

    SciTech Connect

    Hu, Patricia S; Reuscher, Tim

    2007-05-01

    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

  13. Data ID Service | DOE Data Explorer

    Office of Scientific and Technical Information (OSTI)

    DOE Data Explorer DOE Data ID Service DOE Data ID Service Note 1: This section pertains to datasets, dataset records, and Digital Object Identifiers (DOIs). It is not related to the collection citations in DDE. Note 2: See useful links at the end of this section. About the DOE Data ID Service The Office of Scientific and Technical Information (OSTI) became a member of, and a registering agency for, DataCite in 2011 and now assigns permanent identifiers, known as Digital Object Identifiers

  14. Data ID Service | DOE Data Explorer

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    DOE Data Explorer DOE Data ID Service DOE Data ID Service Note 1: This section pertains to datasets, dataset records, and Digital Object Identifiers (DOIs). It is not related to the collection citations in DDE. Note 2: See useful links at the end of this section. About the DOE Data ID Service The Office of Scientific and Technical Information (OSTI) became a member of, and a registering agency for, DataCite in 2011 and now assigns permanent identifiers, known as Digital Object Identifiers

  15. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 --

  16. Perceptions of risk among households in two Australian coastal communities

    SciTech Connect

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall, the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.

  17. Perceptions of risk among households in two Australian coastal communities

    DOE PAGES [OSTI]

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Thomsen, Dana C.; Preston, Benjamin L.

    2015-04-20

    There is limited knowledge of risk perceptions in coastal communities despite their vulnerability to a range of risks including the impacts of climate change. A survey of 400 households in two Australian coastal communities, combined with semi-structured interviews, provides insight into household perceptions of the relative importance of climatic and non-climatic risks and the subsequent risk priorities that may inform household adaptive action. In contrast to previous research, the results demonstrated that geographic location and household characteristics might not affect perceptions of vulnerability to environmental hazards. However, past experience was a significant influence, raising the priority of environmental concerns. Overall,more » the results highlight the priority concerns of coastal households (from finance, to health and environment) and suggest to increase the profile of climate issues in coastal communities climate change strategies need to better demonstrate links between climate vulnerability and other household concerns. Moreover, promoting generic capacities in isolation from understanding the context in which households construe climate risks is unlikely to yield the changes required to decrease the vulnerability of coastal communities.« less

  18. ac_household2001.pdf

    Annual Energy Outlook

    ... those households were treated as if the fuel was electricity. 3 The 2001 RECS reported ... Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding ...

  19. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

    or commercial trucks (See Table 1). Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 5 The 1991 RTECS count includes vehicles that were owned or used...

  20. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

    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...

  1. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  2. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  3. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.4 0.5 1.6 1.4 2.0 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.3 Household Size 1 Person ....................................... 28.2 15.0 3.3 7.9 1.9 5.9 2 Persons

  5. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  6. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  7. Mo Year Report Period: EIA ID NUMBER:

    Energy Information Administration (EIA) (indexed site)

    Mo Year Report Period: EIA ID NUMBER: http:www.eia.govsurveyformeia14instructions.pdf Mailing Address: Secure File Transfer option available at: (e.g., PO Box, RR) https:...

  8. Elink - About OSTI's Data ID Service

    Office of Scientific and Technical Information (OSTI)

    To learn more about the DOE Data ID Service, go to the OSTI home page, select "Science Search Tools" from the menu bar, then click on "Data Services." Follow the links to ...

  9. 1-ID Home Page | Advanced Photon Source

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1-ID Home Infrastructure Techniques Data Analysis Publications X-ray Resources Materials Physics and Engineering Group Useful Links Current APS status ESAF System GUP System X-Ray...

  10. Page 1, About DOE-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 of 11 Previous Page About the U.S. Department of Energy, Idaho Operations Office (DOE-ID) As a new employee of the Department of Energy (DOE), you are entering a Cabinet-Level Executive Branch Agency with a long history of achievement. The Idaho Operations Office (DOE-ID)/INL mission is to develop and deliver cost-effective solutions to both fundamental and advanced challenges in nuclear energy and other energy resources, national security, and environmental management. The Department's

  11. IDS Climate Change and Development Centre Resources | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    IDS Climate Change and Development Centre Resources Jump to: navigation, search Tool Summary Name: IDS Climate Change and Development Centre Resources AgencyCompany Organization:...

  12. Physicists ID Mechanism that Stabilizes Plasma in Tokamaks

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Physicists ID Mechanism that Stabilizes Plasma in Tokamaks Physicists ID Mechanism that Stabilizes Plasma in Tokamaks Calculations Run at NERSC Create 3D Simulations of Fusion ...

  13. Data_ID_thumbnail.jpg | OSTI, US Dept of Energy Office of Scientific and

    Office of Scientific and Technical Information (OSTI)

    Technical Information Data_ID

  14. Id-1 and Id-2 genes and products as markers of epithelial cancer

    DOEpatents

    Desprez, Pierre-Yves; Campisi, Judith

    2011-10-04

    A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

  15. Id-1 and Id-2 genes and products as markers of epithelial cancer

    DOEpatents

    Desprez, Pierre-Yves; Campisi, Judith

    2008-09-30

    A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Collecting Household Energy Data Strategies for Collecting Household Energy Data Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for ...

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Shared Solar Projects Powering Households Throughout America Shared Solar Projects Powering Households Throughout America January 31, 2014 - 2:30pm Addthis Shared solar projects ...

  18. Next Generation Household Refrigerator | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Next Generation Household Refrigerator Next Generation Household Refrigerator Embraco's high efficiency, oil-free linear compressor.
    Credit: Whirlpool Embraco's high ...

  19. Ventilation Behavior and Household Characteristics in NewCalifornia Houses

    SciTech Connect

    Price, Phillip N.; Sherman, Max H.

    2006-02-01

    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.

  20. Household waste disposal in Mekelle city, Northern Ethiopia

    SciTech Connect

    Tadesse, Tewodros Ruijs, Arjan; Hagos, Fitsum

    2008-07-01

    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.

  1. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  2. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

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

  3. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  4. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  5. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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 Census Division Mountain Pacific 0.4 1.2 1.7 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 10.7 3.4 7.2 7.1 Air Conditioners Not Used ........................... 2.1 1.1 0.2 0.9 15.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 9.6 3.2

  6. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  7. Fact #614: March 15, 2010 Average Age of Household Vehicles | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy 4: March 15, 2010 Average Age of Household Vehicles Fact #614: March 15, 2010 Average Age of Household Vehicles The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first reported in the 1995 survey, have the youngest average age. Average Vehicle Age by Vehicle Type Graph showing the average vehicle age by type (car, van, pickup, SUV, all household

  8. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

    16.8 17.4 18.6 18.9 1.7 2.2 0.6 1.5 Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 15 Vehicle Miles Traveled per Vehicle (Thousand) . . . . . . . . ....

  9. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  10. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  11. char_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  12. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  13. I.D I VI Figure

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ~press - ,~,.--;~ 3.1 ,,~-.::;:.--- ~ ( 3.1 ( ;-; t\ I.D I VI Figure 9-1. Location of the original Cypress Grove Set-Aside and the Stave Island and Georgia Power replacement Areas. Set-Aside 9: Cypress Grove, Stave Island, and Georgia Power

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

    Gasoline and Diesel Fuel Update

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

  15. Department of Energy Idaho - Inside DOE-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Inside ID Inside Idaho Operations Office (DOE-ID) DOE-ID Mission and Vision Brief History of the Idaho National Laboratory (INL) DOE-ID Agreement in Principle Organization Chart Employment Opportunities New Employee Orientation EOD Checklist - 68 KB EOD Forms - 261 KB DOE/Tribal Agreement in Principle Strategic Partnership Projects (formerly WFO) Idaho Site Contractor Timeline - 3.7 MB ID@Work Introduces some of the DOE-ID employees and the jobs they perform. Last Updated: 05/21/2015

  16. CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS:

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    JLAB ACCESS: The REAL ID Act (Public Law 109-13) now determines which state driver's license can be presented and accepted as a valid ID document for access to Jefferson Lab. The...

  17. Microsoft Word - DOE-ID-INL-15-056.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Project Description and Purpose: The E-85 fueling station (15,000 gallon E-85 underground storage tank UST DEQ Facility ID 6-120611Tank ID 98IRC00006 and associated ...

  18. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  19. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

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

  20. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  1. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  2. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  3. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    2a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Households Using Office Equipment ......................................... 96.2 21.4 6.2 15.2 1.0 Personal Computers 1 ................................. 60.0 14.3 4.0 10.4 3.7 Number of

  4. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  5. DOE Data ID Service Top Navigation | OSTI, US Dept of Energy...

    Office of Scientific and Technical Information (OSTI)

    DOE Data ID Service Top Navigation DataCite | Contact DOE Data ID Service DataCite | Contact DOE Data ID Service

  6. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... 29.1 5.3 22.7 3.8 1 Below 150 percent of poverty line or 60 percent of median State income

  7. ac_household2001.pdf

    Annual Energy Outlook

    RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With ... RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Pays for Electricity ...

  8. char_household2001.pdf

    Annual Energy Outlook

    RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total ... RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Household Owns or ...

  9. CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS:

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS: The REAL ID Act (Public Law 109-13) now determines which state driver's license can be presented and accepted as a valid ID document for access to Jefferson Lab. The following states/US territories have been determined by the U.S. Department of Homeland Security to have failed to comply with the REAL ID Act: American Samoa, Minnesota, Missouri, Washington As of March 2, 2015, Jefferson Lab will begin using the REAL ID Act verification for all

  10. Airless drying -- Developments since IDS'94

    SciTech Connect

    Stubbing, T.J.

    1999-09-01

    Since its introduction to IDS'94 delegates, significant progress has been made with the development of airless drying technology. The ceramic industry internationally is beginning to benefit from both the energy use and drying time reductions it achieves, while on the basis of further theoretical work carried out since 1993 other industries, including the bioenergy sector, should also soon begin to exploit its advantages. As global warming becomes a reality and oil reserves decline, superheated steam drying and gasification of biomass will contribute to the mitigation of those problems.

  11. 1. CONTRACT ID CODE PAGE OF PAGES

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I1 1 1 3 2. AMvEND)MENfmODIFICATION NO. 3 EFFECT IVE DATE (M'D/)Y) 4 REQUISITION/PURCHASE REQ. NO 5.PROJECT NO. (If applicable, 240 See Block 16C 12EM000054 T 6. ISSUFD BY CODE 7. ADMINISTE'RED BY GIf aher than Item 6)1 CODE U.S. Department of Energy Office of River Protection P. 0. Box 450, MS 1-6-60 Richland, WA 99352 8 NAvM AND ADDRESS OF CONTRACTOR (No., wreel, county, Sltate and ZIP code) 9A. AMENDMENT OF

  12. Residential Energy Consumption Survey: Quality Profile

    SciTech Connect

    1996-03-01

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

  13. DOE/EIA-0321/HRIf Residential Energy Consumption Survey. Consumption

    Annual Energy Outlook

    purchase diaries from a subset of respondents composing a Household Transportation Panel and is reported separately. Residential Energy Consumption Survey: Consumption and...

  14. homeoffice_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  15. ac_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 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 2.1 1.0 0.9 1.5 1.0 Total Households With Air-Conditioning ........................... 82.9 5.4 20.9 20.2 14.2 22.1 8.1 Air Conditioners Not Used ............ 2.1 Q 0.4 0.3 0.8 0.4 23.2

  16. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  17. Improving Demographic Components of Integrated Assessment Models: The Effect of Changes in Population Composition by Household Characteristics

    SciTech Connect

    Brian C. O'Neill

    2006-08-09

    This report describes results of the research project on "Improving Demographic Components of Integrated Assessment Models: The Effect of Changes in Population Composition by Household Characteristics". The overall objective of this project was to improve projections of energy demand and associated greenhouse gas emissions by taking into account demographic factors currently not incorporated in Integrated Assessment Models (IAMs) of global climate change. We proposed to examine the potential magnitude of effects on energy demand of changes in the composition of populations by household characteristics for three countries: the U.S., China, and Indonesia. For each country, we planned to analyze household energy use survey data to estimate relationships between household characteristics and energy use; develop a new set of detailed household projections for each country; and combine these analyses to produce new projections of energy demand illustrating the potential importance of consideration of households.

  18. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

    for 1994, will continue the 3-year cycle. The RTECS, a subsample of the Residential Energy Consumption Survey (RECS), is an integral part of a series of surveys designed by...

  19. 2011 Annual Planning Summary for Idaho Operations Office (ID...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 within the Idaho Operations Office (ID) (See Environmental Management). ...

  20. RAPID/Roadmap/14-ID-d | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us 401 Water Quality Certification (14-ID-d) IDEQ is...

  1. RAPID/Roadmap/3-ID-b | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us State Land Access Overview (3-ID-b) If a project is...

  2. RAPID/Roadmap/14-ID-f | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us 401 NPDES Water Quality Certification (14-ID-f) Idaho...

  3. RAPID/Roadmap/4-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us State Exploration Process (4-ID-a) 04IDAStateExploration...

  4. RAPID/Roadmap/11-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us State Cultural Considerations (11-ID-a) Idaho has a statute that provides state...

  5. RAPID/Roadmap/17-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Contact Us Aesthetic Resource Assessment (17-ID-a) 17IDAAestheticResourceAssessment.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  6. RAPID/Roadmap/9-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Environmental Review Process (9-ID-a) Add overview. 09IDAStateEnvironmentalProcess.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  7. RAPID/Roadmap/5-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Hydropower Solar Tools Contribute Contact Us Drilling and Well Development (5-ID-a) 05IDADrillingWellDevelopment.pdf Error creating thumbnail: Page number not in...

  8. RAPID/Roadmap/15-ID-b | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Air Quality Permit - Tier II Operating Permit (15-ID-b) Tier II Operating Permits are...

  9. RAPID/Roadmap/15-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Air Quality Permit - Permit to Construct (15-ID-a) The Idaho Department of Environmental...

  10. RAPID/Roadmap/8-ID-e | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ID-e < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools...

  11. RAPID/Roadmap/3-ID-e | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ID-e < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools...

  12. RAPID/Roadmap/14-ID-b | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    RAPIDRoadmap14-ID-b < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal...

  13. RAPID/Roadmap/8-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    RAPIDRoadmap8-ID-a < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower...

  14. RAPID/Roadmap/6-ID-b | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    RAPIDRoadmap6-ID-b < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower...

  15. Temporary EPA ID Number Request | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Temporary EPA ID Number RequestLegal Abstract A developer that may "generate hazardous waste only from an episodic event" may instead apply for a temporary hazardous waste...

  16. RAPID/Roadmap/14-ID-c | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Geothermal Hydropower Solar Tools Contribute Contact Us Underground Injection Control Permit (14-ID-c) Rule 40 of the Idaho Department of Water Resources' Drilling for...

  17. RAPID/Roadmap/12-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Contact Us State Biological Resource Considerations (12-ID-a) The Idaho Department of Fish & Game preserves wildlife against any direct take, including wild animals, birds, and...

  18. Microsoft Word - DOE-ID-INL-15-074.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Fuels Complex (MFC)-1741 Modular Guard Station SECTION B. Project Description and ... machine shop activities), assembly, and DOE-ID NEPA CX DETERMINATION Idaho National ...

  19. Microsoft Word - DOE-ID-INL-11-010.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Work will involve the removal of the inspection station, material transporters, laser ... Yes No Approved by Richard Kauffman, acting DOE-ID NEPA Compliance Officer on 8312011.

  20. Microsoft Word - DOE-ID-INL-15-007.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    water - cooling water lines above shower station will interfere with the shower linkage. ... Act) Yes No Approved by Jack Depperschmidt, DOE-ID NEPA Compliance Officer on: 217

  1. Microsoft Word - DOE-ID-INL-16-045.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Frequency (HF) Shared Resources (SHARES) Station SECTION B. Project Description and ... onto 100' Tower at the SAF Bldg. DOE-ID NEPA CX DETERMINATION Idaho National ...

  2. Microsoft Word - DOE-ID-INL-14-054.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    and the end user devices (hand held, mobile, and base station radios) currently deployed. ... In addition, the project would practice sustainable acquisition, as DOE-ID NEPA CX ...

  3. Microsoft Word - DOE-ID-INL-16-041.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    *Transfer piping and poly bottle sample station piping to the first isolation valves from ... Disturbing Cultural or Biological Resources DOE-ID NEPA CX DETERMINATION Idaho National ...

  4. Microsoft Word - DOE-ID-INL-14-008.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... and operation of machinery and equipment (including, but not limited to, laboratory equipment, electronic DOE-ID NEPA CX DETERMINATION Idaho National Laboratory Page 2 of 2 ...

  5. A material flow analysis on current electrical and electronic waste disposal from Hong Kong households

    SciTech Connect

    Lau, Winifred Ka-Yan; Chung, Shan-Shan; Zhang, Chan

    2013-03-15

    Highlights: ► Most household TWARC waste is sold directly to private e-waste collectors in HK. ► The current e-waste recycling network is popular with HK households. ► About 80% of household generated TWARC is exported overseas each year. ► Over 7000 tonnes/yr of household generated TWARC reach landfills. ► It is necessary to upgrade safety and awareness in HK’s e-waste recycling industry. - Abstract: A material flow study on five types of household electrical and electronic equipment, namely television, washing machine, air conditioner, refrigerator and personal computer (TWARC) was conducted to assist the Government of Hong Kong to establish an e-waste take-back system. This study is the first systematic attempt on identifying key TWARC waste disposal outlets and trade practices of key parties involved in Hong Kong. Results from two questionnaire surveys, on local households and private e-waste traders, were used to establish the material flow of household TWARC waste. The study revealed that the majority of obsolete TWARC were sold by households to private e-waste collectors and that the current e-waste collection network is efficient and popular with local households. However, about 65,000 tonnes/yr or 80% of household generated TWARC waste are being exported overseas by private e-waste traders, with some believed to be imported into developing countries where crude recycling methods are practiced. Should Hong Kong establish a formal recycling network with tight regulatory control on imports and exports, the potential risks of current e-waste recycling practices on e-waste recycling workers, local residents and the environment can be greatly reduced.

  6. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    0a. Appliances by Midwest Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.5 Total .............................................................. 107.0 24.5 17.1 7.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 23.8 16.6 7.2 NE 1

  7. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    1a. Appliances by South Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.4 1.5 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 36.2 19.4 6.4 10.3 1.5 1

  8. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  9. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

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

  10. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit 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 Kitchen Appliances Cooking Appliances Oven ........................................... 33.4 10.1 7.3 14.9 1.1

  11. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    8a. Appliances by Urban/Rural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.9 1.4 1.2 1.3 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 47.5 17.5 19.9 16.8 4.2 1

  12. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

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

  13. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  14. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  15. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  16. Household Vehicles Energy Consumption 1991

    Energy Information Administration (EIA) (indexed site)

    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...

  17. Strategies for Collecting Household Energy Data

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Strategies for Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012.

  18. "Table 11. Fuel Economy, Selected Survey Years (Miles Per Gallon...

    Energy Information Administration (EIA) (indexed site)

    Fuel Economy, Selected Survey Years (Miles Per Gallon)" ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",15.1,16.1,18.3,19.3,19.8,20.2 "Household Characteristics" "Census...

  19. Housing characteristics, 1987: Residential Energy Consumption Survey

    SciTech Connect

    Not Available

    1989-05-26

    This report is the first of a series of reports based on data from the 1987 RECS. The 1987 RECS is the seventh in the series of national surveys of households and their energy suppliers. These surveys provide baseline information on how households in the United States use energy. A cross section of housing types such as single-family detached homes, townhouses, large and small apartment buildings, condominiums, and mobile homes were included in the survey. Data from the RECS and a companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are available to the public in published reports such as this one and on public use tapes. 10 figs., 69 tabs.

  20. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  1. appl_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

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

  2. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

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

  3. spaceheat_household2001.pdf

    Energy Information Administration (EIA) (indexed site)

    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

  4. Id-1 and Id-2 genes and products as therapeutic targets for treatment of breast cancer and other types of carcinoma

    DOEpatents

    Desprez, Pierre-Yves; Campisi, Judith

    2014-09-30

    A method for treatment and amelioration of breast, cervical, ovarian, endometrial, squamous cells, prostate cancer and melanoma in a patient comprising targeting Id-1 or Id-2 gene expression with a delivery vehicle comprising a product which modulates Id-1 or Id-2 expression.

  5. JLab Registration/International Services - Researcher/Visitor ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Requirements Researcher/Visitor ID Requirements CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS U.S. Citizens must bring a valid Government issued ID card that contains a photo such as a passport or valid driver's license. Non-driver photo identification cards issued by the Department of Motor Vehicles can be used as proof of identification. Lawful Permanent Resident of the United States must bring their Green Card or passport with valid I-551 stamp AND a valid government issued

  6. Here�s What�s Going on with DOE-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Here�s What�s Going on with DOE-ID As you know, we initiated a survey under �Voice of the People� last month, in order to get your input on how we can make this website more useful to you. In response to your feedback, one thing we did is develop a monthly article that attempts to capsulize the activities and opportunities for public input, all in one place. This is the first of those articles. Public Involvement Opportunities You have until close of business on June 21 to provide input

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

    SciTech Connect

    Recknagel, Sebastian; Radant, Hendrik; Kohlmeyer, Regina

    2014-01-15

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

  8. RAPID/Roadmap/18-ID-b | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    demonstrate insurance coverage that would protect the community from incurring clean-up costs in the event of the developer's insolvency. 18-ID-b.5 - Facility siting license...

  9. Microsoft Word - DOE-ID-INL-15-070.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    DOE-ID-INL-15-070 excluded petroleum and natural gas products that pre-exist in the environment such that there would be uncontrolled or unpermitted releases; (4) have the...

  10. RAPID/Roadmap/3-ID-d | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Land Use Permit (3-ID-d) The Idaho Department of Lands issues Land Use Permits for...

  11. Microsoft Word - DOE-ID-INL-14-034.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    No.: DOE-ID-INL-14-034 pollutants, contaminants, or CERCLA-excluded petroleum and natural gas products that pre-exist in the environment such that there would be uncontrolled...

  12. RAPID/Roadmap/6-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    load A load is overlegal if the load is: width over 8'6"; Over 14' tall; Truck and trailer combined are over 75' long; or The load weighs over 80,000 pounds. 6-ID-a.2 - Meet...

  13. RAPID/Roadmap/19-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    to 19-ID-a.5 - Is a Change in Point of Diversion, Place of Use, Period of Use, or Nature of Use Needed for an Existing Water Right If the proposed activity will require a...

  14. Microsoft Word - DOE-ID-INL-12-015.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ...Tank ID 05MFC00035 and replace the two tanks with a 10,000 gallon aboveground storage ... The proposed project actions will include: * Emptying the tanks of petroleum and removal ...

  15. DOE Data ID Service - Digital object identifiers for DOE scientific...

    Office of Scientific and Technical Information (OSTI)

    How to Use the DOE Data ID Service For Grantees - Submit metadata to OSTI. Login not required For Individual Lab Researchers - Submit metadata to your lab's internal STI system or your ...

  16. RAPID/Roadmap/6-ID-c | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Tools Contribute Contact Us Drinking Water Permit (6-ID-c) 06IDCDrinkingWaterPermit.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  17. RAPID/Roadmap/7-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Contact Us Power Plant Siting Process (7-ID-a) 07IDAPowerPlantSitingConstruction.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  18. RAPID/Roadmap/13-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Contribute Contact Us State Land Use Assessment (13-ID-a) 13IDALandUseAssessment.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  19. Vermont Hazardous Waste Handler Site ID Form | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    to library Legal Document- Permit ApplicationPermit Application: Vermont Hazardous Waste Handler Site ID FormLegal Abstract This form is used to notify the Vermont Agency of...

  20. T-642: RSA SecurID update to Customers

    Energy.gov [DOE]

    RSA investigation has revealed that the attack resulted in certain information being extracted from RSA's systems. Some of that information is related to RSA's SecurID two-factor authentication products

  1. Microsoft Word - DOE-ID-INL-13-015.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... it out when required. 3. Bring in a self-contained comfort station and pump when required. ... DOE-ID NEPA CX DETERMINATION Idaho National Laboratory Page 2 of 2 CX Posting No.: ...

  2. Microsoft Word - DOE-ID-INL-16-004.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    (N&HS) personnel with a new field station office near the Safety Test Facility ... DOE-ID NEPA CX DETERMINATION Idaho National Laboratory Page 2 of 2 CX Posting No.: ...

  3. Microsoft Word - DOE-ID-INL-11-007.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... The FASS is a central station type vacuum system that continuously samples air within the ... 2012 Approximate Cost: 12,000,000 DOE-ID NEPA CX DETERMINATION IDAHO NATIONAL ...

  4. Microsoft Word - DOE-ID-INL-16-005.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The trailer will serve as a comfort station for use by men and women in remote areas ... that under reasonably foreseeable DOE-ID NEPA CX DETERMINATION Idaho National ...

  5. Microsoft Word - DOE-ID-INL-13-007.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    of the U.S. Department of Energy Idaho Operations office (DOE-ID) and INL Management. ... long-term maintenance of the seismic station will be funded as part of BEA's annually ...

  6. Beamline 4-ID-C | Advanced Photon Source

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    C 4-ID-C Home Recent Publications XSD-MM Home MM Advisory Committees FAQs Beamline Info Instrumentation Magnet Materials Internal Useful Links Current APS status ESAF System GUP...

  7. RAPID/Roadmap/3-ID-a | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    the IDL becomes involved only if they are notified and the Land Board requests their involvement. 3-ID-a.3 - Consultation (optional) IDL may meet with any other state agency to...

  8. Household-level dynamics of food waste production and related beliefs, attitudes, and behaviours in Guelph, Ontario

    SciTech Connect

    Parizeau, Kate; Massow, Mike von; Martin, Ralph

    2015-01-15

    Highlights: • We combined household waste stream weights with survey data. • We examine relationships between waste and food-related practices and beliefs. • Families and large households produced more total waste, but less waste per capita. • Food awareness and waste awareness were related to reduced food waste. • Convenience lifestyles were differentially associated with food waste. - Abstract: It has been estimated that Canadians waste $27 billion of food annually, and that half of that waste occurs at the household level (Gooch et al., 2010). There are social, environmental, and economic implications for this scale of food waste, and source separation of organic waste is an increasingly common municipal intervention. There is relatively little research that assesses the dynamics of household food waste (particularly in Canada). The purpose of this study is to combine observations of organic, recyclable, and garbage waste production rates to survey results of food waste-related beliefs, attitudes, and behaviours at the household level in the mid-sized municipality of Guelph, Ontario. Waste weights and surveys were obtained from 68 households in the summer of 2013. The results of this study indicate multiple relationships between food waste production and household shopping practices, food preparation behaviours, household waste management practices, and food-related attitudes, beliefs, and lifestyles. Notably, we observed that food awareness, waste awareness, family lifestyles, and convenience lifestyles were related to food waste production. We conclude that it is important to understand the diversity of factors that can influence food wasting behaviours at the household level in order to design waste management systems and policies to reduce food waste.

  9. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect

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

    2009-04-15

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

  10. Physicists ID Mechanism that Stabilizes Plasma in Tokamaks

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Physicists ID Mechanism that Stabilizes Plasma in Tokamaks Physicists ID Mechanism that Stabilizes Plasma in Tokamaks Calculations Run at NERSC Create 3D Simulations of Fusion Plasmas January 4, 2016 Contact: Kathy Kincade, kkincade@lbl.gov, +1 510 495 2124 jardinfusion A cross-section of the virtual plasma showing where the magnetic field lines intersect the plane. The central section has field lines that rotate exactly once. Image: Stephen Jardin A team of physicists led by Stephen Jardin of

  11. NERSC Helps Physicists ID New Molecules With Unique Features

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    NERSC Helps Physicists ID New Molecules With Unique Features NERSC Helps Physicists ID New Molecules With Unique Features Hollow magnetic cage molecules may have applications in technology, healthcare August 10, 2013 NERSC supercomputing resources helped Virginia Commonwealth University (VCU) researchers determine it may be possible to create large, hollow magnetic cage molecules that could be used in medicine as a drug delivery system to noninvasively treat tumors and in other emerging

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Programs for Low- and Moderate-Income Households Loan Programs for Low- and Moderate-Income Households Better Buildings Residential Network Multifamily and Low-Income Housing Peer ...

  13. Energy Information Administration/Household Vehicles Energy Consumptio...

    Energy Information Administration (EIA) (indexed site)

    , Energy Information AdministrationHousehold Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related...

  14. Kingston Creek Hydro Project Powers 100 Households | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Kingston Creek Hydro Project Powers 100 Households Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting firm Nevada ...

  15. Poster - DOE Data ID Service | OSTI, US Dept of Energy, Office...

    Office of Scientific and Technical Information (OSTI)

    ID Service Document Files and References Available Downloads for this Document: applicationpdf icon Poster DOE Data ID Service Last updated on Tuesday 22 December

  16. Microsoft Word - Household Energy Use CA

    Energy Information Administration (EIA) (indexed site)

    0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site

  17. Characterization of household hazardous waste from Marin County, California, and New Orleans, Louisiana

    SciTech Connect

    Rathje, W.L.; Wilson, D.C.; Lambou, V.W.; Herndon, R.C.

    1987-09-01

    There is a growing concern that certain constituents of common household products, that are discarded in residential garbage, may be potentially harmful to human health and the environment by adversely affecting the quality of ground and surface water. A survey of hazardous wastes in residential garbage from Marin County, California, and New Orleans, Louisiana, was conducted in order to determine the amount and characteristics of such wastes that are entering municipal landfills. The results of the survey indicate that approximately 642 metric tons of hazardous waste are discarded per year for the New Orleans study area and approximately 259 metric tons are discarded per year for the Marin County study area. Even though the percent of hazardous household waste in the garbage discarded in both study areas was less than 1%, it represents a significant quantity of hazardous waste because of the large volume of garbage involved.

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

    Energy Saver

    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 ...

  19. Pacific Northwest residential energy survey. Volume 2. Technical appendix

    SciTech Connect

    1980-07-01

    The technical appendix presents the technical aspects of the Pacific Northwest Residential Energy Survey: the survey questionnaire, exhibit cards, instructions for interviewers, and a description of the survey plan. A description of the sample plan (method used to determine which 4000 households) is given. (MCW)

  20. DOE-ID FOIA Electronic Reading Room Documents

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Electronic Reading Room Documents Electronic Reading Room Documents The information contained here represents DOE-ID's responses to FOIA requests that have been or are likely to be of broad public interest, as stipulated under the Electronic Freedom of Information Act Amendments of 1996. As required by the Act, documents created after November 1997, which meet the criteria for electronic presentation, will be made available here. Other documents requested under the FOIA will also be made

  1. Finding Utility Companies Under a Given Utility ID | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    utility company pages under a given utility id. From the Special Ask page, in the query box enter the following: Category:Utility CompaniesEiaUtilityId::15248 substituting...

  2. DOE Data ID Service Benefits | OSTI, US Dept of Energy Office...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    DOE Data ID Service Benefits DataCite | Contact DOE Data ID Service When you submit metadata to OSTI about a dataset, you are basically "announcing" that it exists and you are ...

  3. DOE Data ID Service Background | OSTI, US Dept of Energy Office...

    Office of Scientific and Technical Information (OSTI)

    DOE Data ID Service Background DataCite | Contact DOE Data ID Service In 2011, the DOE Office of Scientific and Technical Information (OSTI) joined DataCite to facilitate citing, ...

  4. EIS-0471: Areva Eagle Rock Enrichment Facility in Bonneville County, ID |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 1: Areva Eagle Rock Enrichment Facility in Bonneville County, ID EIS-0471: Areva Eagle Rock Enrichment Facility in Bonneville County, ID May 20, 2011 delete me old download page duplicate

  5. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

    The increasing US deployment of residential advanced metering infrastructure (AMI) has made hourly energy consumption data widely available. Using CA smart meter data, we investigate a household electricity segmentation methodology that uses an encoding system with a pre-processed load shape dictionary. Structured approaches using features derived from the encoded data drive five sample program and policy relevant energy lifestyle segmentation strategies. We also ensure that the methodologies developed scale to large data sets.

  6. IdJOO2 UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3/26/2004 13:39 FAX IdJOO2 UNITED STATES ENVIRONMENTAL PROTECTION AGENCY WASHINGTON, D.C. 20460 MAR 26 2004 OFFICE OF AIR AND RADIATION R. Paul Detwiler, Acting Manager Carlsbad Field Office U.S. Department of Energy P.O. Box 3090 Carlsbad, NM 88221-3090 Dear Dr. Detwiler: This letter announces the U.S. Environmental Protection Agency's (EPA's) final decision to approve the Department of Energy's (DOE's) remote handled (RH) transuranic (TRU) Waste Characterization Program Implementation Plan

  7. DOE-ID Procurement Services � the action team

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    DOE-ID Procurement Services � the action team Passage of the American Recovery and Reinvestment Act of 2009 included billions of dollars in additional funding for energy efficiency improvements to U.S. homes and businesses. By early July, the U.S. Department of Energy was hard pressed to get that funding to the communities who needed it to reduce their power bills. That�s when DOE�s Office of Energy Efficiency asked the department�s Idaho Operations Office for support from DOE-ID�s

  8. Microsoft Word - DOE-ID-INL-12-016.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    No.: DOE-ID-INL-12-016 SECTION A. Project Title: Reverse Osmosis System Removal SECTION B. Project Description: The project will remove a reverse osmosis water treatment system (FU-HA-101) from TAN 681 room 182. The system is out-of-service, with no intent of future use. Work will involve removal of the reverse osmosis system, and associated plumbing/piping and electrical lines and conduit. The project will clear the area of obstacles and tripping hazards associated with unused/unnecessary

  9. Microsoft Word - DOE-ID-INL-16-080.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    CX Determination Idaho National Laboratory Page 1 of 2 CX Posting No.: DOE-ID-INL-16-080 SECTION A. Project Title: Test Reactor Area (TRA)-621 Fume Hood Removal SECTION B. Project Description and Purpose: During the re-roofing of building TRA-621 at the Advanced Test Reactor (ATR) Complex, the out of service fume hood in the facility was determined to be no longer needed and needs to be removed. The proposed action would remove the fume hood, associated ducting, electronics, heaters,

  10. Material Safety Data Sheet MSDS ID NO.: 0137SPE012

    Alternative Fuels and Advanced Vehicles Data Center

    Material Safety Data Sheet MSDS ID NO.: 0137SPE012 Revision date: 05/25/2011 1. CHEMICAL PRODUCT AND COMPANY INFORMATION Product name: Speedway E85 Synonym: Speedway ED75/ED85; E-75; E75; E-85; E85; Ethanol/Gasoline Fuel Blend; Fuel Ethanol ED75/ED85 Chemical Family: Gasoline/Ethanol Formula: Mixture Manufacturer: Speedway LLC P.O. Box 1500 Enon, OH 45501 Other information: 419-421-3070 Emergency telephone number: 877-627-5463 2. COMPOSITION/INFORMATION ON INGREDIENTS E85 is a mixture of ethyl

  11. Household Vehicles Energy Consumption 1994 - Appendix C

    Energy Information Administration (EIA) (indexed site)

    discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on...

  12. Appliance Commitment for Household Load Scheduling

    SciTech Connect

    Du, Pengwei; Lu, Ning

    2011-06-30

    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.

  13. DOEdataID_C218_4X9.jpg | OSTI, US Dept of Energy Office of Scientific and

    Office of Scientific and Technical Information (OSTI)

    Technical Information DOEdataID_C218_4X9

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

    SciTech Connect

    Hoffman, W.L.

    1982-12-01

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

  15. Loan Programs for Low- and Moderate-Income Households

    Energy.gov [DOE]

    Better Buildings Residential Network Multifamily and Low-Income Housing Peer Exchange Call Series: Loan Programs for Low- and Moderate-Income Households, March 13, 2014.

  16. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect

    none,

    2011-12-01

    Provides state and local policymakers with information on successful approaches to the design and implementation of residential efficiency programs for households ineligible for low-income programs.

  17. Underground Storage Tank Integrated Demonstration (UST-ID). Technology summary

    SciTech Connect

    Not Available

    1994-02-01

    The DOE complex currently has 332 underground storage tanks (USTs) that have been used to process and store radioactive and chemical mixed waste generated from weapon materials production. Very little of the over 100 million gallons of high-level and low-level radioactive liquid waste has been treated and disposed of in final form. Two waste storage tank design types are prevalent across the DOE complex: single-shell wall and double-shell wall designs. They are made of stainless steel, concrete, and concrete with carbon steel liners, and their capacities vary from 5000 gallons (19 m{sup 3}) to 10{sup 6} gallons (3785 m{sup 3}). The tanks have an overburden layer of soil ranging from a few feet to tens of feet. Responding to the need for remediation of tank waste, driven by Federal Facility Compliance Agreements (FFCAs) at all participating sites, the Underground Storage Tank Integrated Demonstration (UST-ID) Program was created by the US DOE Office of Technology Development in February 1991. Its mission is to focus the development, testing, and evaluation of remediation technologies within a system architecture to characterize, retrieve, treat to concentrate, and dispose of radioactive waste stored in USTs at DOE facilities. The ultimate goal is to provide safe and cost-effective solutions that are acceptable to the public and the regulators. The UST-ID has focused on five DOE locations: the Hanford Site, which is the host site, in Richland, Washington; the Fernald Site in Fernald, Ohio; the Idaho National Engineering Laboratory near Idaho Falls, Idaho; the Oak Ridge Reservation in Oak Ridge, Tennessee, and the Savannah River Site in Savannah River, South Carolina.

  18. Idaho National Laboratory Supervisory Control and Data Acquisition Intrusion Detection System (SCADA IDS)

    SciTech Connect

    Jared Verba; Michael Milvich

    2008-05-01

    Current Intrusion Detection System (IDS) technology is not suited to be widely deployed inside a Supervisory, Control and Data Acquisition (SCADA) environment. Anomaly- and signature-based IDS technologies have developed methods to cover information technology-based networks activity and protocols effectively. However, these IDS technologies do not include the fine protocol granularity required to ensure network security inside an environment with weak protocols lacking authentication and encryption. By implementing a more specific and more intelligent packet inspection mechanism, tailored traffic flow analysis, and unique packet tampering detection, IDS technology developed specifically for SCADA environments can be deployed with confidence in detecting malicious activity.

  19. OSTIblog Articles in the DOE Data ID Service Topic | OSTI, US...

    Office of Scientific and Technical Information (OSTI)

    ID Service Topic OSTI Helping High Energy Physics Collaboration to Register Datasets by Sara ... researcher in the High Energy Physics (HEP) community to register scientific ...

  20. IDS-NF Impact of Neutrino Cross Section Impact of Neutrino Cross Section

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    IDS-NF Impact of Neutrino Cross Section Impact of Neutrino Cross Section Knowledge on Oscillation Knowledge on Oscillation Measurements Measurements M. Sorel, IFIC (CSIC and U. of Valencia) IDS-NF, RAL, Jan 16-17 2008 M. Sorel - IFIC (Valencia U. & CSIC) 2 IDS-NF Neutrino Cross Sections: At What Energies Needed? Superbeams: Solid: T2K Dashed: NovA M. Sorel - IFIC (Valencia U. & CSIC) 3 IDS-NF Neutrino Cross Sections: At What Energies Needed? Superbeams: Solid: T2K Dashed: NovA Beta

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

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) RECS data show decreased energy consumption per household RECS 2009 - Release date: June 6, 2012 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

  2. Microsoft Word - DOE-ID-INL-16-065.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 SECTION A. Project Title: United States Geological Survey (USGS) Geotechnical Drilling for USGS-144 SECTION B. Project Description and Purpose: The U.S. Geological Survey (USGS) needs geologic, stratigraphic, and hydraulic data for the purpose of characterizing groundwater flow and water quality in the eastern Snake River Plain aquifer. Monitoring wells are constructed to obtain the needed data, and the USGS has identified the need for an additional monitoring well. The proposed well is needed

  3. Microsoft Word - DOE-ID-INL-16-087.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    87 SECTION A. Project Title: United States Geological Survey (USGS) Geotechnical Drilling for USGS-142 and USGS-143 Rev 1 USGS-142A SECTION B. Project Description and Purpose: Concrete was used during construction of geotechnical borehole United States Geological Survey (USGS)-142, and cement overflowed into the section of the borehole where water levels were needed to be measured. The purpose of this revision is to drill an additional borehole, USGS-142A, approximately 10 to 25 feet from

  4. Femtosecond dark-field imaging with an X-ray free electron laser (CXIDB ID 19)

    DOE Data Explorer

    Martin, A. V.

    This data was collected as part of the same experiment as the data deposited in [ID16](id-16.html). Experiment details are given in [Loh, N.D. et al.](http://dx.doi.org/10.1038/nature11222)

  5. Femtosecond dark-field imaging with an X-ray free electron laser (CXIDB ID 19)

    DOE Data Explorer

    Martin, A. V.

    2012-08-25

    This data was collected as part of the same experiment as the data deposited in [ID16](id-16.html). Experiment details are given in [Loh, N.D. et al.](http://dx.doi.org/10.1038/nature11222)

  6. Projecting household energy consumption within a conditional demand framework

    SciTech Connect

    Teotia, A.; Poyer, D.

    1991-01-01

    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).

  7. Projecting household energy consumption within a conditional demand framework

    SciTech Connect

    Teotia, A.; Poyer, D.

    1991-12-31

    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).

  8. Reconstructing householder vectors from Tall-Skinny QR

    DOE PAGES [OSTI]

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstratemore » the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.« less

  9. Reconstructing householder vectors from Tall-Skinny QR

    SciTech Connect

    Ballard, Grey Malone; Demmel, James; Grigori, Laura; Jacquelin, Mathias; Knight, Nicholas; Nguyen, Hong Diep

    2015-08-05

    The Tall-Skinny QR (TSQR) algorithm is more communication efficient than the standard Householder algorithm for QR decomposition of matrices with many more rows than columns. However, TSQR produces a different representation of the orthogonal factor and therefore requires more software development to support the new representation. Further, implicitly applying the orthogonal factor to the trailing matrix in the context of factoring a square matrix is more complicated and costly than with the Householder representation. We show how to perform TSQR and then reconstruct the Householder vector representation with the same asymptotic communication efficiency and little extra computational cost. We demonstrate the high performance and numerical stability of this algorithm both theoretically and empirically. The new Householder reconstruction algorithm allows us to design more efficient parallel QR algorithms, with significantly lower latency cost compared to Householder QR and lower bandwidth and latency costs compared with Communication-Avoiding QR (CAQR) algorithm. Experiments on supercomputers demonstrate the benefits of the communication cost improvements: in particular, our experiments show substantial improvements over tuned library implementations for tall-and-skinny matrices. Furthermore, we also provide algorithmic improvements to the Householder QR and CAQR algorithms, and we investigate several alternatives to the Householder reconstruction algorithm that sacrifice guarantees on numerical stability in some cases in order to obtain higher performance.

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

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

    Energy Information Administration (EIA) (indexed site)

    ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ... for 2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ...

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Transportation, 1984-2010 | Department of Energy 8: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010 The overall share of annual household expenditures for transportation was lower in 2010 than it was in 1984, reaching its lowest point in 2009 at 15.5%. In the early to mid-1980s when oil prices were high, gasoline and motor oil made up a larger share of transportation

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

    SciTech Connect

    Eisenberg, Joel Fred

    2008-06-01

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

  15. Household energy conservation attitudes and behaviors in the Northwest: Tracking changes between 1983 and 1985

    SciTech Connect

    Fang, J.M.; Hattrup, M.P.; Nordi, R.T.; Shankle, S.A.; Ivey, D.L.

    1987-05-01

    Pacific Northwest Laboratory (PNL) has analyzed the changes in consumer energy conservation attitudes and behaviors in the Pacific Northwest between 1983 and 1985. The information was collected through stratified random telephone surveys on 2000 and 1058 households, respectively, for 1983 and 1985 in the Bonneville Power Administration (BPA) service area in Idaho, Oregon, Washington and Western Montana. This report covers four topic areas and tests two hypotheses. The topics are as follows: consumer perceptions and attitudes of energy use and conservation in the home; consumer perceptions of energy institutions and other entities; past and intended conservation actions and investments; and segmentation of homeowners into market prospect groups. The hypotheses tested are as follows: (1) There has been no change in the size and psychographic make-up of the original three market segments found in the 1983 survey analysis; and (2) image profiles of institutions with respect to familiarity, overall impression, and believability as sources of energy conservation information remain unchanged since 1983.

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

    SciTech Connect

    Johnson, Brandon J; Starke, Michael R; Abdelaziz, Omar; Jackson, Roderick K; Tolbert, Leon M

    2014-01-01

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

  17. A short Id2 protein fragment containing the nuclear export signal forms amyloid-like fibrils

    SciTech Connect

    Colombo, Noemi [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany); Schroeder, Josef [Institut fuer Pathologie, Zentrales EM-Labor, Fakultaet fuer Medizin, Universitaet Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg (Germany); Cabrele, Chiara [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany)]. E-mail: chiara.cabrele@chemie.uni-regensburg.de

    2006-07-21

    The negative regulator of DNA-binding/cell-differentiation Id2 is a small protein containing a central helix-loop-helix (HLH) motif and a C-terminal nuclear export signal (NES). Whereas the former is essential for Id2 dimerization and nuclear localization, the latter is responsible for the transport of Id2 from the nucleus to the cytoplasm. Whereas the isolated Id2 HLH motif is highly helical, large C-terminal Id2 fragments including the NES sequence are either unordered or aggregation-prone. To study the conformational properties of the isolated NES region, we synthesized the Id2 segment 103-124. The latter was insoluble in water and only temporarily soluble in water/alcohol mixtures, where it formed quickly precipitating {beta}-sheets. Introduction of a positively charged N-terminal tail prevented aggressive precipitation and led to aggregates consisting of long fibrils that bound thioflavin T. These results show an interesting structural aspect of the Id2 NES region, which might be of significance for both protein folding and function.

  18. Household energy use in non-OPEC developing countries

    SciTech Connect

    Fernandez, J.C.

    1980-05-01

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

  19. Id-1 gene and gene products as therapeutic targets for treatment of breast cancer and other types of carcinoma

    SciTech Connect

    Desprez, Pierre-Yves; Campisi, Judith

    2014-08-19

    A method for treatment of breast cancer and other types of cancer. The method comprises targeting and modulating Id-1 gene expression, if any, for the Id-1 gene, or gene products in breast or other epithelial cancers in a patient by delivering products that modulate Id-1 gene expression. When expressed, Id-1 gene is a prognostic indicator that cancer cells are invasive and metastatic.

  20. Wnt/{beta}-catenin signaling changes C2C12 myoblast proliferation and differentiation by inducing Id3 expression

    SciTech Connect

    Zhang, Long; Shi, Songting; Zhang, Juan; Zhou, Fangfang; Dijke, Peter ten

    2012-03-02

    Highlights: Black-Right-Pointing-Pointer Expression of Id3 but not Id1 is induced by Wnt3a stimulation in C2C12 cells. Black-Right-Pointing-Pointer Wnt3a induces Id3 expression via canonical Wnt/{beta}-catenin pathway. Black-Right-Pointing-Pointer Wnt3a-induced Id3 expression does not depend on BMP signaling activation. Black-Right-Pointing-Pointer Induction of Id3 expression is critical determinant in Wnt3a-induced cell proliferation and differentiation. -- Abstract: Canonical Wnt signaling plays important roles in regulating cell proliferation and differentiation. In this study, we report that inhibitor of differentiation (Id)3 is a Wnt-inducible gene in mouse C2C12 myoblasts. Wnt3a induced Id3 expression in a {beta}-catenin-dependent manner. Bone morphogenetic protein (BMP) also potently induced Id3 expression. However, Wnt-induced Id3 expression occurred independent of the BMP/Smad pathway. Functional studies showed that Id3 depletion in C2C12 cells impaired Wnt3a-induced cell proliferation and alkaline phosphatase activity, an early marker of osteoblast cells. Id3 depletion elevated myogenin induction during myogenic differentiation and partially impaired Wnt3a suppressed myogenin expression in C2C12 cells. These results suggest that Id3 is an important Wnt/{beta}-catenin induced gene in myoblast cell fate determination.

  1. YEAR","UTILITY_ID","UTILITY_NAME","PLANT_ID","PLANT_NAME","SCHEDULE","LINENO","A

    Energy Information Administration (EIA) (indexed site)

    UTILITY_ID","UTILITY_NAME","PLANT_ID","PLANT_NAME","SCHEDULE","LINENO","AMOUNTS","DESCRIPTION" 2001,298,"Alexandria City of",6558,"DG Hunter",9,"Line 1","STEAM","Kind of Plant" 2001,298,"Alexandria City of",6558,"DG Hunter",9,"Line 2",1956,"Year Originally Constructed" 2001,298,"Alexandria City of",6558,"DG

  2. The 1986 residential occupant survey

    SciTech Connect

    Ivey, D.L.; Alley, P.K.

    1987-04-01

    In 1986, Pacific Northwest Laboratory developed the Residential Occupant Survey-Spring '86, which was implemented. The overall purpose of the study was to collect demographic, attitudinal, and behavioral data related to the use and conservation of electricity in dwellings participating in the Bonneville Power Administration's End-Use Load and Conservation Assessment Program (ELCAP). Information was collected on the respondents' perceptions of the energy efficiency of their dwelling, temperature the dwelling was kept when people were at home and awake during the last heating season, which rooms, if any, were not heated during the last heating season, number of times the dwelling was unoccupied for at least one week, number of times pets were let out of the dwelling per day, attitudes toward energy use and conservation and several socio-demographic variables such as age, sex, and total household income. The results of the data analyses showed age to be an important factor for reported indoor temperature and perceived energy efficiency of the dwelling. The results also showed that almost 60% of the ELCAP occupants do not heat one or more rooms during the heating season, and almost 45% of the ELCAP dwellings were unoccupied for at least one week during the reporting period. In terms of the reported allocation of household income for household energy expenses, the results showed that the reported dollar amount spent for the expenses remained relatively constant over income levels.

  3. UCRL-ID-119665 LLNL Small-Scale Drop-Hammer Impact Sensitivity...

    Office of Scientific and Technical Information (OSTI)

    UCRL-ID-119665 LLNL Small-Scale Drop-Hammer Impact Sensitivity Test L. Richard Simpson M. ... LLNL Small-Scale Drop-Hammer Impact Sensitivity Test L. Richard Simpson, and M. Frances ...

  4. AMENDMENT OF SOLlClTATlONlMODlFlCATlON OF CONTRACT ( I. ID CODE

    National Nuclear Security Administration (NNSA)

    ( I. ID CODE DE-ACO4-OOAL6662O ' 10s. DATED (SEE ITEM 13) PAGE I OF 2 PAGES Babcock & W C O X Technical Services Pantex, LLC 800 Main Street Lynchburg, VA 24505 9B. DATED ...

  5. File:USDA-CE-Production-GIFmaps-ID.pdf | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ID.pdf Jump to: navigation, search File File history File usage Idaho Ethanol Plant Locations Size of this preview: 776 600 pixels. Full resolution (1,650 1,275 pixels,...

  6. DOE-ID FOIA Type A Accident Investigation Board Report - July...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Library You are here: DOE-ID Home > FOIA > Type A Accident Investigation Board Report - July 28, 1998 Type A Accident Investigation Board Report - July 28, 1998 Fatality ...

  7. DOI-BLM-ID-B010-2010-0083-CX | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    0083-CX Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-B010-2010-0083-CX CX for GeothermalExploration, CX for Thermal Gradient Holes for Geothermal...

  8. DOI-BLM-ID-I020-2012-0017-CX | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    I020-2012-0017-CX Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-I020-2012-0017-CX CX at Bingham-Caribou Geothermal Area for GeothermalExploration CX for...

  9. DOI-BLM-ID-B010-2010-??-CX | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    ??-CX Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-B010-2010-??-CX CX at Weiser Geothermal Area for GeothermalExploration CX at Weiser Geothermal Area for...

  10. DOI-BLM-ID-110-2009-3825-CE | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    110-2009-3825-CE Jump to: navigation, search NEPA Document Collection for: DOI-BLM-ID-110-2009-3825-CE CX at Crane Creek Geothermal Area for GeothermalExploration Crane Creek...

  11. DOE Data ID Service Background | OSTI, US Dept of Energy Office...

    Office of Scientific and Technical Information (OSTI)

    The DOE Data ID Service is a useful tool for increasing access to digital data, as the DOE Public Access Plan noted: "The Department's Office of Scientific and Technical ...

  12. DOE Data ID Service Benefits | OSTI, US Dept of Energy Office...

    Office of Scientific and Technical Information (OSTI)

    ... How to Use the DOE Data ID Service For Grantees - Submit metadata to OSTI. Login not required For Individual Lab Researchers - Submit metadata to your lab's internal STI system or your ...

  13. DOE Data ID Service Top Navigation | OSTI, US Dept of Energy...

    Office of Scientific and Technical Information (OSTI)

    Service Top Navigation DOE Data ID Service Top Navigation My Profile Create Review OSTI.Gov Newsletter - Issue 16 Manage Search form Search this site Search Who's online There ...

  14. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 5)

    DOE Data Explorer

    Nelson, Johanna

    2011-07-22

    This is the second of five exposures of the same sample at different tilts. This one is at +15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  15. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 7)

    DOE Data Explorer

    Nelson, Johanna

    2011-07-22

    This is the fourth of five exposures of the same sample at different tilts. This one is at -15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  16. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 6)

    DOE Data Explorer

    Nelson, Johanna

    2011-07-22

    This is the third of five exposures of the same sample at different tilts. This one is at +30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  17. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 8)

    DOE Data Explorer

    Nelson, Johanna

    2011-07-22

    This is the fifth of five exposures of the same sample at different tilts. This one is at -30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  18. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 4)

    DOE Data Explorer

    Nelson, Johanna

    2011-07-22

    This is the first of five exposures of the same sample at different tilts. This one is at +0 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  19. 11. CONTRACT ID CODE PAGE OF PAGES I AMENDMENT OF SOLICITATION...

    National Nuclear Security Administration (NNSA)

    11. CONTRACT ID CODE PAGE OF PAGES I AMENDMENT OF SOLICITATIONMODIFICATION OF CONTRACT 1 I 2. AMENDMENTIMODIFICATION NO. 258 6. ISSUED BY CODE 3. EFFECTIVE DATE See Block 16C ...

  20. File:08-ID-c - Certificate of Public Convenience and Necessity...

    OpenEI (Open Energy Information) [EERE & EIA]

    modified from its original state, some details may not fully reflect the modified file. Image title Lucidchart Author None Short title 08-ID-c - Certificate of Public Convenience...

  1. Implementation of the REAL ID Act | Y-12 National Security Complex

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Visiting Us / Entry Requirements / Implementation of the REAL ... Implementation of the REAL ID Act Congress, acting on the recommendations of the 9/11 Commission, passed the REAL ID Act in an effort to reduce fraud and deter acts of terrorism using fraudulent identification. This Act sets minimum standards for the issuance of driver's licenses and other identification documents. In accordance with the Act, the Department of Homeland Security established implementing standards. Among these is a

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Statistics | Department of Energy 8: April 12, 2010 Vehicles per Household and Other Demographic Statistics Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics Since 1969, the number of vehicles per household has increased by 66% and the number of vehicles per licensed driver has increased by 47%. The number of workers per household has changed the least of the statistics shown here. There has been a decline in the number of persons per household from 1969 to

  3. Microsoft Word - DOE-ID-INL-11-005.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 SECTION A. Project Title: INL - USGS Geotechnical Drilling Program (USGS 137) SECTION B. Project Description: The U.S. Geological Survey (USGS) proposes to drill a 2,000-foot deep geotechnical corehole (USGS 137) into the eastern Snake River Plain aquifer. Geotechnical borehole USGS 137 is located 3.0 miles south of RWMC at the Southeast Quarter of the Southwest Quarter, Section 31, Township 02 North, Range 29 East. USGS 137 will be located approximately 50 ft northeast of USGS 109 and within

  4. Microsoft Word - DOE-ID-INL-11-006.doc

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6 SECTION A. Project Title: INL - USGS Geotechnical Drilling Program (USGS 131A) SECTION B. Project Description: The U.S. Geological Survey (USGS) proposes to use an existing well pad to construct a replacement well, USGS131A, about 25 ft north of the original well head (USGS 131). USGS 131A will be drilled to about 1,300 ft below surface level (BSL) then instrumented with a multilevel monitoring system in FY 2012. The new well will replace USGS 131, which will be abandoned or used as a water

  5. Source segregation and food waste prevention activities in high-density households in a deprived urban area

    SciTech Connect

    Rispo, A.; Williams, I.D. Shaw, P.J.

    2015-10-15

    Highlights: • Study of waste management in economically and socially deprived high-density housing. • Food waste segregation, prevention and recycling activities investigated. • Study involved a waste audit and household survey of 1034 households. • Populations in such areas are “hard-to-reach”. • Exceptional efforts and additional resources are required to improve performance. - Abstract: A waste audit and a household questionnaire survey were conducted in high-density housing estates in one of the most economically and socially deprived areas of England (Haringey, London). Such areas are under-represented in published research. The study examined source segregation, potential participation in a food waste segregation scheme, and food waste prevention activities in five estates (1034 households). The results showed that: contamination of recyclables containers was low; ca. 28% of the mixed residual waste’s weight was recyclable; food waste comprised a small proportion of the waste from these residents, probably because of their relatively disadvantaged economic circumstances; and the recycling profile reflected an intermittent pattern of behaviour. Although the majority of respondents reported that they would participate in a food waste separation scheme, the response rate was low and many responses of “don’t know” were recorded. Municipalities committed to foster improved diversion from landfill need to recognise that there is no “quick and easy fix”, regardless of local or national aspirations. Lasting and sustained behaviour change requires time and the quality of service provision and associated infrastructure play a fundamental role in facilitating residents to participate effectively in waste management activities that maximise capture of source-segregated materials. Populations in deprived areas that reside in high-rise, high-density dwellings are “hard-to-reach” in terms of participation in recycling schemes and exceptional

  6. How are coastal households responding to climate change?

    DOE PAGES [OSTI]

    Elrick-Barr, Carmen E.; Smith, Timothy F.; Preston, Benjamin L.; Thomsen, Dana C.; Baum, Scott

    2016-06-13

    In Australia, shared responsibility is a concept advocated to promote collective climate change adaptation by multiple actors and institutions. However, a shared response is often promoted in the absence of information regarding actions currently taken; in particular, there is limited knowledge regarding action occurring at the household scale. To address this gap, we examine household actions taken to address climate change and associated hazards in two Australian coastal communities. Mixed methods research is conducted to answer three questions: (1) what actions are currently taken (mitigation, actions to lobby for change or adaptation to climate impacts)? (2) why are these actionsmore » taken (e.g. are they consistent with capacity, experience, perceptions of risk); and (3) what are the implications for adaptation? We find that households are predominantly mitigating greenhouse gas emissions and that impact orientated adaptive actions are limited. Coping strategies are considered sufficient to mange climate risks, proving a disincentive for additional adaptive action. Influencing factors differ, but generally, risk perception and climate change belief are associated with action. Furthermore, the likelihood of more action is a function of homeownership and a tendency to plan ahead. Addressing factors that support or constrain household adaptive decision-making and action, from the physical (e.g. homeownership) to the social (e.g. skills in planning and a culture of adapting to change) will be critical in increasing household participation in adaptation.« less

  7. Modeling patterns of hot water use in households

    SciTech Connect

    Lutz, J.D.; Liu, Xiaomin; McMahon, J.E.

    1996-11-01

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

  8. Modeling patterns of hot water use in households

    SciTech Connect

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

    1996-01-01

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

  9. Household heating bills expected to be lower this winter

    Energy Information Administration (EIA) (indexed site)

    Household heating bills expected to be lower this winter U.S. consumers are expected to pay less this winter on their home heating bills because of lower oil and natural gas prices and projected milder temperatures than last winter. In its new forecast, the U.S. Energy Information Administration said households that rely on heating oil which are mainly located in the Northeast will pay the lowest heating expenditures in 9 years down 25% from last winter as consumers are expected to save about

  10. A Glance at China’s Household Consumption

    SciTech Connect

    Shui, Bin

    2009-10-01

    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.

  11. Digital Surveying Directional Surveying Specialists | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Surveying Specialists Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Digital Surveying Directional Surveying Specialists Author Directional Surveying...

  12. Residential energy consumption survey: consumption and expenditures, April 1982-March 1983. Part 1, national data

    SciTech Connect

    Thompson, W.

    1984-11-01

    This report presents data on the US consumption and expenditures for residential use of natural gas, electricity, fuel oil or kerosene, and liquefied petroleum gas (LPG) from April 1982 through March 1983. Data on the consumption of wood for this period are also presented. 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. Data on wood consumption are based on respondent recall of the amount of wood burned during the winter and are subject to memory errors and other reporting errors described in the report. These data come from the 1982 Residential Energy Consumption Survey (RECS), the fifth in a series of comparable surveys beginning in 1978. The 1982 survey is the first survey to include, as part of its sample, a portion of the same households interviewed in the 1980 survey. A separate report is planned to report these longitudinal data. This summary gives the highlights of a comparison of the findings for the 5 years of RECS data. The data cover all types of housing units in the 50 states and the District of Columbia including single-family units, apartments, and mobile homes. For households with indirect energy costs, such as costs that are included in the rent or paid by third parties, the sonsumption and expenditures data are estimated and included in the figures reported here. The average household consumption of natural gas, electricity, fuel oil or kerosene, and LPG dropped in 1982 from the previous year, hitting a 5-year low since the first Residential Energy Consumption Survey (RECS) was conducted in 1978. The average consumption was 103 (+-3) million Btu per household in 1982, down from 114 (+-) million Btu in 1981. The weather was the main contributing factor. 8 figures, 46 tables.

  13. Model development for household waste prevention behaviour

    SciTech Connect

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

    2012-12-15

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

  14. Monument Survey

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Photographs from the WIPP Permanent Marker Monument Survey John Hart & Associates, 2000 Photograph of the Gnome Marker located about 10 miles SW of the WIPP site For more...

  15. radiological. survey

    National Nuclear Security Administration (NNSA)

    7%2A en NNSA to Conduct Aerial Radiological Surveys Over San Francisco, Pacifica, Berkeley, And Oakland, CA Areas http:nnsa.energy.govmediaroompressreleasesamsca

  16. Comments on Docket ID: DOE-HQ-2011-0014 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    on Docket ID: DOE-HQ-2011-0014 Comments on Docket ID: DOE-HQ-2011-0014 This letter comprises the comments of the Pacific Gas and Electric Company (PG&E), Southern California Gas Company (SCGC), San Diego Gas and Electric (SDG&E), and Southern California Edison (SCE) in response to the U.S. Department of Energy's (DOE) Request for Information on Regulatory Burden. The signatories of this letter, collectively referred to herein as the California Investor Owned Utilities (CA IOUs) represent

  17. Idaho National Lab Contract DE-AC07-05ID14517

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Contract No. DE-AC07-05ID14517 Modifications You are here: DOE-ID Home > Contracts, Financial Assistance & Solicitations > INL Contract > INL Basic Contract Blue Line Free Acrobat Reader Link The documents listed below represent an electronic copy of modifications to the contract for the Management and Operation of the INL awarded to Battelle Energy Alliance, LLC. These documents are in PDF format. The Adobe Reader is required to access them. If you do not currently have the Acrobat

  18. Heating oil and propane households bills to be lower this winter...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Heating oil and propane households bills to be lower this winter despite recent cold spell Despite the recent cold weather, households that use heating oil or propane as their main ...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    Energy Information Administration (EIA) (indexed site)

    Information Administration (EIA) 9 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing characteristics tables + EXPAND ALL Fuels used & end uses Preliminary release date: March 28, 2011 Final release date: May 6, 2013 ZIP (all tables) by Type of housing unit (HC1.1) XLS by Owner-renter (HC1.2) XLS by Year of construction (HC1.3) XLS by Number of household members (HC1.4) XLS by Household income

  1. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1)

    DOE Data Explorer

    Seibert, M. Marvin; Ekeberg, Tomas; Maia, Filipe R.N.C.

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 1 are the pattern and configuration files for the pattern showed in Figure 2a in the paper.

  2. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 2)

    DOE Data Explorer

    Seibert, M. Marvin; Ekeberg, Tomas

    2011-02-02

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 2 are the pattern and configuration files for the pattern showed in Figure 2b in the paper.

  3. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1)

    DOE Data Explorer

    Seibert, M. Marvin; Ekeberg, Tomas; Maia, Filipe R.N.C.

    2011-02-02

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 1 are the pattern and configuration files for the pattern showed in Figure 2a in the paper.

  4. Certification of Completion of Item 2 of ASC FY07 Level-2 Milestone ID #2380

    SciTech Connect

    Lipari, D A

    2007-03-28

    This report documents the completion of Item 2 of the three milestone deliverables that comprise Milestone ID 2380: Deploy selected Tri-Lab resource manager at LLNL and develop support model. Specifically: LLNL will integrate and support a commercial resource manager software product at LLNL to be used across the tri-lab HPC facilities.

  5. Residential Cooking Behavior in the United States: Data Collected from a Web-Based Survey

    SciTech Connect

    Huang, Y. W; Andrew, E. E; Hu, T. C; Singer, B. C; Ding, L.; Logue, J. M

    2014-08-01

    Cooking has a significant impact on indoor air quality. When cooking occurs, how foods are cooked, and the types of food that are cooked have all been shown to impact the rate at which occupants are exposed to pollutants. Home occupancy characteristics impact how concentrations in the home translate into exposures for the occupants. With the intent of expanding our understanding of cooking behavior in the U.S., we developed and advertised an online survey to collect household cooking behavior for the 24 hrs prior to taking the survey. The survey questions were designed to address gaps in knowledge needed to predict the impact of cooking on indoor concentrations of PM2.5 and other pollutants. The survey included the following questions: 1) which meals households ate at home; 2) number of household members at home during cooking; 3) the type of oil used for cooking; 4) the type of foods cooked at each meal; 5) the type of cooking devices used; and 6) the methods selected for food preparation. We also collected information on household characteristics such as their location (zip code), ethnicity, and ages of family members. We analyzed the variability in home cooking characteristics for households in different climate zones and with four different types of family compositions: 1 senior living alone, 1 adult living alone, 2 or more adults/seniors, and families with children. We used simple statistical tests to determine if the probability of certain cooking behaviors differed between these subgroups.

  6. Id1 expression promotes peripheral CD4{sup +} T cell proliferation and survival upon TCR activation without co-stimulation

    SciTech Connect

    Liu, Chen; Jin, Rong; Wang, Hong-Cheng; Tang, Hui; Liu, Yuan-Feng; Qian, Xiao-Ping; Sun, Xiu-Yuan; Ge, Qing; Sun, Xiao-Hong; Zhang, Yu

    2013-06-21

    Highlights: •Id1 expression enables naïve T cell proliferation without anti-CD28 co-stimulation. •Id1 expression facilitates T cells survival when stimulated with anti-CD3. •Elevation of IL-2 production by Id1 contributes increased proliferation and survival. •Id1 potentiates NF-κB activation by anti-CD3 stimulation. -- Abstract: Although the role of E proteins in the thymocyte development is well documented, much less is known about their function in peripheral T cells. Here we demonstrated that CD4 promoter-driven transgenic expression of Id1, a naturally occurring dominant-negative inhibitor of E proteins, can substitute for the co-stimulatory signal delivered by CD28 to facilitate the proliferation and survival of naïve CD4{sup +} cells upon anti-CD3 stimulation. We next discovered that IL-2 production and NF-κB activity after anti-CD3 stimulation were significantly elevated in Id1-expressing cells, which may be, at least in part, responsible for the augmentation of their proliferation and survival. Taken together, results from this study suggest an important role of E and Id proteins in peripheral T cell activation. The ability of Id proteins to by-pass co-stimulatory signals to enable T cell activation has significant implications in regulating T cell immunity.

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy 9: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles that the primary vehicle travels in a day. In a six-vehicle household, the sixth vehicle travels fewer than five miles a day. Daily Vehicle

  8. Sizing wind/photovoltaic hybrids for households in inner Mongolia

    SciTech Connect

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

    1997-12-31

    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 Hybrid2 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 speed decreases.

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

    SciTech Connect

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

    1987-08-01

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

  10. OSTIblog Articles in the DOE Data ID Service Topic | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information Data ID Service Topic OSTI Helping High Energy Physics Collaboration to Register Datasets by Sara Studwell 01 Apr, 2016 in The Department of Energy (DOE) Office of Scientific and Technical Information (OSTI) is working with a researcher in the High Energy Physics (HEP) community to register scientific datasets produced by a domain collaboration, a recent blog post has reported. OSTI offers a service for registering datasets to help

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

    Energy Information Administration (EIA) (indexed site)

    Information Administration (EIA) 1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing characteristics Consumption & expenditures Microdata Methodology Housing Characteristics Tables Table Titles (Released: February 2004) Entire Section Percents Tables: HC1 Housing Unit Characteristics, Million U.S. Households PDF PDF NOTE: As of 10/31/01, numbers in the "Housing Units" TABLES section for stub item: "Number of Floors in Apartment Buildings" were

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

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate

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

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) State fact sheets on household energy use RECS 2009 - Release date: August 13, 2013 (Correction) The RECS gathers information through personal interviews with a nationwide sample of homes and energy suppliers. The 2009 survey was the largest RECS to date and the larger sample size allowed for the release of data for 16 individual states, in addition to national, regional, and division-level estimates. See a closer look at residential energy

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

    Reports and Publications

    2004-01-01

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

  15. Forum on Enhancing the Delivery of Energy Efficiency to Middle Income Households: Discussion Summary

    SciTech Connect

    none,

    2012-09-20

    Summarizes discussions and recommendations from a forum for practitioners and policymakers aiming to strengthen residential energy efficiency program design and delivery for middle income households.

  16. Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region

    SciTech Connect

    Poyer, D.A.; Teotia, A.P.S.

    1994-08-01

    The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

  17. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 11. CONTRACT ID CODE

    National Nuclear Security Administration (NNSA)

    -------------------------------------------------------- AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 11. CONTRACT ID CODE I PAGE OF PAGES 1 I 2 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE REQ. NO. 15. PROJECT NO. (If applicable) 0246 See Block 16C 6. ISSUED BY CODE 05003 7. ADMINISTERED BY (If other than Item 6) CODE 105003 NNSA/Los Alamos Site Office NNSA/Los Alamos Site Office U.S. Department of Energy U.S. Department of Energy NNSA/Los Alamos Site Office Los

  18. Microsoft Word - DOE-ID-13-044 Idaho EC B3-6.doc

    Office of Environmental Management (EM)

    10-2008 CONCLUDING MATERIAL Review Activity: Preparing Activity: DOE Operations Offices Field Offices DOE-HS-11 NA NNSA Service Center HS CH OH Project Number: EM ID GFO FSC 6910-0069 NE NV SC OR RL OAK SR RP National Laboratories Area Offices BNL Pantex Site Office LLNL Ashtabula Area Office LANL Carlsbad Area Office PNNL Columbus Area Office Sandia Fernald Area Office FNL Los Alamos Area Office West Valley Area Office Kirtland Area Office Pinellas Area Office Kansas City Area Office Miamisburg

  19. AMEN DMENT OF SOLICITATION/MODIFICATION OF CONTRACT r* CONTRACT ID CODE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    AMEN DMENT OF SOLICITATION/MODIFICATION OF CONTRACT r* CONTRACT ID CODE I PAGE OF PAGES 1 I 1 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE REQ. NO. ,5. PROJECT NO. (If applicable) 0234 10/08/2013 6.1SSUED BY CODE 00603 7. ADMINISTERED BY (If other than Item 6) CODE I00603 Office of River Protection u.s. Department of Energy Office of River Protection P.O. Box 450 Richland WA 99352 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state and ZIP Code) ASHINGTON

  20. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT ,1. CONTRACT ID CODE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ,1. CONTRACT ID CODE I PAGE OF PAGES 1 I 2 2. AM ENDMENT/MODIFICAT ION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE REO. NO. ,5. PROJECT NO. (If appficable) 0542 See Block 16C 15SC002265 Item 00003 6. ISSUED BY CODE 005 16 u . s . Department of Energy ORNL Site Office P.O. Box 2008 Oak Ri dge TN 37831 8 NAME AND ADDRESS OF CONTRACTOR (No., street, oounty, State and ZIP Code) AK RIDGE ASSOCIATED UNIVERS IT I ES , 0 p INC . . 0 . BOX 117 0 AK RIDGE TN 37 830-6218 CODE 0411522 2 4 FACILITY CODE 7.

  1. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1.CONTRACT ID CODE PAGE OF PAGES

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    CONTRACT ID CODE PAGE OF PAGES T 1 1 13 2 AMENDIMENT/MODIFICATION NO 3. EFFECTIVE DATE 4 -REGUISITION/PURCHASE RED. NO 5. PROJECT NO. (If epplicable) 032 04/14/2011 11EM002244 6 ISSUED BY CODE 00603 7 ADMINISTERED BY (Iftherthan temrt6) CODE J00603 Office of River Protection Office of River Protection U.S. Department of Energy U.S. Department of Energy Office of River Protection office of River Protection P.O. Box 450 P.O. Box 450 Richland WA 99352 Richland WA 99352 8 NAME AND ADDRESS OF

  2. AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT 1. CONTRACT ID CODE P AE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    OF CONTRACT 1. CONTRACT ID CODE P AE 2. AMEN DMENT/MODIF ICATION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE RED. NO. 5. PROJECT NO. (If applicable) 073 See Block 16C 12EM002951/12EM003004 6. ISSUED BY CODE 100603 7. ADMINISTERED BY (If other than Item 6) CODE 100603 Office of River Protection Office of River Protection U.S. Department of Energy U.S. Department of Energy Office of River Protection Office of River Protection P.O. Box 450 P.O. Box 450 Richland WA 99352 Richland WA 99352 8. NAME

  3. AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT I CONTRACT ID CODE PAGE OF PAGES

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    I CONTRACT ID CODE PAGE OF PAGES 1 14 2. AMENDMENT/MODIFICATION NO. 3 EFFECTIVE DATE 4. REQUISITION/PURCHASE RED. NO 5. PRtOJECT NO. (if pplicable) 186 See Block 16CL 6. ISSUED BY CODE j 0603 7. ADMINISTERED BY (If other than Item 6) CODE 00603 office of River Protection Office of River Protection U.S. Department of Energy U.S. Department of Energy office of River Protection office of River Protection P.O. Box 450 P.O. Box 450 Richland WA 99352 MS: H6-60 Richland WA 99352 6. NAME AND ADDRESS OF

  4. AMENDMENT OF SOUCITATIONIMODIFICATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1. CONTRACT ID CODE PAGE OF PAGES II 11 9 2. AMEN DMENTIMODIFICATION NO. 3. EFFECTIVE DATE 4. REOUISITIONIPURCHASE REQ. NO. 5. PROJECT NO. (If elpicable) 169 See Block 16C 12EM0020631 6. ISSUED BY CODE 00603 7. ADMINISTERED BY (If otherthan Item 6) CODE 100603 Office of River Protection Office of River Protection U.S. Department of Energy U.S. Department of Energy Office of River Protection Office of River Protection P.O. Box 450 P.O. Box 450 Richland WA 99352 MS: H6-60

  5. ,"Eastport, ID Natural Gas Pipeline Imports From Canada (MMcf)"

    Energy Information Administration (EIA) (indexed site)

    Imports From Canada (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Eastport, ID Natural Gas Pipeline Imports From Canada (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  6. 11. CONTRACT ID CODE PAGE OF PAGES I AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT

    National Nuclear Security Administration (NNSA)

    11. CONTRACT ID CODE PAGE OF PAGES I AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1 I 2. AMENDMENTIMODIFICATION NO. 258 6. ISSUED BY CODE 3. EFFECTIVE DATE See Block 16C 05008 4. REQUISITION/PURCHASE REQ. NO. 7. ADMINISTERED BY (If other than Item 6) 15. PROJECT NO. (If applicable) CODE 1 0 5 0 0 8 NNSA/Oakridge Site Office NNSA/Oakridge Site Office U.S. Department of Energy U. S. Department of Energy NNSA/Y-12 Site Office NNSA/Y-12 Site Office P.O. Box 2050 P.O. Box 2050 Building 9704-2

  7. 1,CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 1 (10.63 MB) More Documents & Publications Microsoft Word - GJPPGPracticesDraft.doc Updated Section H Greening Clauses DOE Purchase Card Policy

    ,CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I 11 3 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE (M D Y) 4. REQUISITION/PURCHASE REQ. NO. 5. PROJECT NO, (If applicable) 221 See Block 16C 11 EM0026551 6. ISSUED BY CODE 7. ADMINISTERED BY (If other than Item 6) CODE U.S. Department of Energy Office of

  8. An interactive version of PropID for the aerodynamic design of horizontal axis wind turbines

    SciTech Connect

    Ninham, C.P.; Selig, M.S.

    1997-12-31

    The original PROP code developed by AeroVironment, Inc. and its various versions have been in use for wind turbine performance predictions for over ten years. Due to its simplicity, rapid execution times and relatively accurate predictions, it has become an industry standard in the US. The Europeans have similar blade-element/momentum methods in use for design. Over the years, PROP has continued to be improved (in its accuracy and capability), e.g., PROPSH, PROPPC, PROP93, and PropID. The latter version incorporates a unique inverse design capability that allows the user to specify the desired aerodynamic characteristics from which the corresponding blade geometry is determined. Through this approach, tedious efforts related to manually adjusting the chord, twist, pitch and rpm to achieve desired aerodynamic/performance characteristics can be avoided, thereby making it possible to perform more extensive trade studies in an effort to optimize performance. Past versions of PropID did not have supporting graphics software. The more current version to be discussed includes a Matlab-based graphical user interface (GUI) and additional features that will be discussed in this paper.

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

    Energy Information Administration (EIA) (indexed site)

    RoperASW is a well respected survey research firm. You will return your completed forms to ... The government may bring a civil action to prohibit reporting violations which may result ...

  10. RL-721 REV7 I. Project Title: NEPA REVIEW SCREENING FORM Document ID Number:

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    42 Radiological Survey Activities in the 600 Area of the Hanford Site Supporting Land Conveyance II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions - e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings, etc.): The U.S. Department of Energy, Richland Operations (DOE-RL) proposes to conduct radiological surveys of a portion of the 600 Area of the Hanford Site. The surveys are needed to

  11. 2012 NERSC User Survey Text

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2012 User Survey Text 2010/2011 User Survey Results 2009/2010 User Survey Results 2008/2009 User Survey Results 2007/2008 User Survey Results 2006 User Survey Results 2005 User Survey Results 2004 User Survey Results 2003 User Survey Results 2002 User Survey Results 2001 User Survey Results 2000 User Survey Results 1999 User Survey Results 1998 User Survey Results HPC Requirements for Science HPC Workshop Reports NERSC Staff Publications & Presentations Journal Cover Stories Galleries

  12. Energy-efficient housing alternatives: a predictive model of factors affecting household perceptions

    SciTech Connect

    Schreckengost, R.L.

    1985-01-01

    The major purpose of this investigation was to assess the impact of household socio-economic factors, dwelling characteristics, energy conservation behavior, and energy attitudes on the perceptions of energy-efficient housing alternatives. Perceptions of passive solar, active solar, earth sheltered, and retrofitted housing were examined. Data used were from the Southern Regional Research Project, S-141, Housing for Low and Moderate Income Families. Responses from 1804 households living in seven southern states were analyzed. A conceptual model was proposed to test the hypothesized relationships which were examined by path analysis. Perceptions of energy efficient housing alternatives were found to be a function of selected household and dwelling characteristics, energy attitude, household economic factors, and household conservation behavior. Age and education of the respondent, family size, housing-income ratio, utility income ratio, energy attitude, and size of the dwelling unit were found to have direct and indirect effects on perceptions of energy-efficient housing alternatives. Energy conservation behavior made a significant direct impact with behavioral energy conservation changes having the most profound influence. Conservation behavior was influenced by selected household and dwelling characteristics, energy attitude, and household economic factors.

  13. North Portal Fuel Storage System Fire Hazard Analysis-ESF Surface Design Package ID

    SciTech Connect

    N.M. Ruonavaara

    1995-01-18

    The purpose of the fire hazard analysis is to comprehensively assess the risk from fire within the individual fire areas. This document will only assess the fire hazard analysis within the Exploratory Studies Facility (ESF) Design Package ID, which includes the fuel storage system area of the North Portal facility, and evaluate whether the following objectives are met: 1.1.1--This analysis, performed in accordance with the requirements of this document, will satisfy the requirements for a fire hazard analysis in accordance with U.S. Department of Energy (DOE) Order 5480.7A. 1.1.2--Ensure that property damage from fire and related perils does not exceed an acceptable level. 1.1.3--Provide input to the ESF Basis For Design (BFD) Document. 1.1.4 Provide input to the facility Safety Analysis Report (SAR) (Paragraph 3.8).

  14. Yucca Mountain Project Integrated Data System (IDS); Final report, October 1, 1989--December 31, 1990

    SciTech Connect

    1991-05-23

    This final report for LANL Subcontract 9-XS8-2604-1 includes copies of all formal letters, memorandums, and reports provided by CAG to support the IDS effort in the LANL Test Managers Office, Las Vegas, Nevada from October 1, 1989 through the end of the contract on December 31, 1990. The material is divided into two sections; the Functional Requirements Document (FRD) and other reports, letters, and memorandums. All documents are arranged in chronological order with most recent last. Numerous draft copies of the FRD were prepared and cover sheets for all drafts are included. The complete text of only the last version supplied (July 27, 1990) is included in this document.

  15. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect

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

    2013-10-01

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

  16. Laboratory Testing of Demand-Response Enabled Household Appliances

    SciTech Connect

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

    2013-10-01

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

  17. Household heating bills expected to be higher than last winter, mainly driven by colder weather

    Energy Information Administration (EIA) (indexed site)

    Household heating bills expected to be higher than last winter, mainly driven by colder weather U.S. households are expected to pay higher heating bills this winter compared to last winter mainly because the weather is forecast to be colder than the relatively mild weather seen last winter and fuel prices are forecast to be higher. In its new forecast, the U.S. Energy Information Administration said households using heating oil will see a 38% jump in their heating fuel expenditures while propane

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    | Department of Energy 6: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose In 2009, getting to and from work accounted for about 27% of household vehicle-miles of travel (VMT). Work-related business was 8.4% of VMT in 2001, but declined to 6.7% in 2009, possibly due to advancements in computing technology making it possible for more business to be handled electronically. VMT for shopping was almost

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

    Energy Information Administration (EIA) (indexed site)

    3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Census Region and Division Northeast

  20. Environmental Science and Research Foundation annual technical report to DOE-ID, January , 1995--December 31, 1995

    SciTech Connect

    1996-06-01

    The foundation conducts an environmental monitoring and surveillance program over an area covering much of the upper Snake River Plain and provide environmental education and support services related to INEL natural resource issues. Also, the foundation, with its university affiliates, conducts ecological and radioecological research on the Idaho National Environmental Research Park. This research benefits major DOE-ID programs including waste management, environmental restoration, spent nuclear fuels, and land management issues. Major accomplishments during CY1995 can be divided into five categories: environmental surveillance program, environmental education, environmental services and support, ecological risk assessment, and research benefitting the DOE-ID mission.

  1. Robotic Surveying

    SciTech Connect

    Suzy Cantor-McKinney; Michael Kruzic

    2007-03-01

    -actuated functions to be controlled by an onboard computer. The computer-controlled Speedrower was developed at Carnegie Mellon University to automate agricultural harvesting. Harvesting tasks require the vehicle to cover a field using minimally overlapping rows at slow speeds in a similar manner to geophysical data acquisition. The Speedrower had demonstrated its ability to perform as it had already logged hundreds of acres of autonomous harvesting. This project is the first use of autonomous robotic technology on a large-scale for geophysical surveying.

  2. Targeted Marketing and Program Design for Low- and Moderate-Income Households

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Low- / Moderate-Income Peer Exchange Call: Targeted Marketing and Program Design for Low- and Moderate-Income Households, Call Slides and Discussion Summary, October 11, 2011.

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

    Energy.gov [DOE]

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

  4. EPA Webinar: Bringing Energy Efficiency and Renewable Housing to Low-Income Households

    Energy.gov [DOE]

    Hosted by the U.S. Environmental Protection Agency, this webinar will explore the topic of linking and leveraging energy efficiency and renewable energy programs for limited-income households, including the need to coordinate with other energy assistance programs.

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Impact More Than 42,000 Households Residential Network Members Impact More Than 42,000 Households Photo of a row of townhomes. Eligible Better Buildings Residential Network members reported completing 27,563 home energy upgrades during 2013 as part of the Residential Network's first reporting cycle. In addition, 13 Better Buildings Neighborhood Program partners completed 12,166 home energy upgrades, and six Home Performance with ENERGY STAR® Sponsors completed 2,540 home energy

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Money | Department of Energy Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm Addthis Students can register now to save energy and win prizes with the Home Energy Challenge. Students can register now to save energy and win prizes with the Home Energy Challenge. Eric Barendsen Energy Technology Program Specialist, Office of Energy Efficiency and Renewable Energy

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

    SciTech Connect

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

    2006-11-15

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

  9. https://bluedart.phe.com/owa/?ae=Item&t=IPM.Note&id=RgAAAAA%2f3

    National Nuclear Security Administration (NNSA)

    Phyllis Radack Manager, Regulatory Services 702-295-6582 702-858-5587 (cell) 702-295-7699 ...idRgAAAAA%2f3mOqqZ%2bfSq... 702-858-5587 (cell) 702-295-7699 (fax) From: Morris, Patrick ...

  10. A 12-MW-scale pilot study of in-duct scrubbing (IDS) using a rotary atomizer

    SciTech Connect

    Samuel, E.A.; Murphy, K.R.; Demian, A.

    1989-11-01

    A low-cost, moderate-removal efficiency, flue gas desulfurization (FGD) technology was selected by the US Department of Energy for pilot demonstration in its Acid Rain Precursor Control Technology Initiative. The process, identified as In-Duct Scrubbing (IDS), applies rotary atomizer techniques developed for lime-based spray dryer FGD while utilizing existing flue gas ductwork and particulate collectors. IDS technology is anticipated to result in a dry desulfurization process with a moderate removal efficiency (50% or greater) for high-sulfur coal-fired boilers. The critical elements for successful application are: (1) adequate mixing of sorbent droplets with flue gas for efficient reaction contact, (2) sufficient residence time to produce a non-wetting product, and (3) appropriate ductwork cross-sectional area to prevent deposition of wet reaction products before particle drying is comple. The ductwork in many older plants, previously modified to meet 1970 Clean Air Act requirements for particulate control, usually meet these criteria. A 12 MW-scale IDS pilot plant was constructed at the Muskingum River Plant of the American Electric Power System. The pilot plant, which operates from a slipstrem attached to the air-preheater outlet duct from the Unit 5 boiler at the Muskingum River Plant (which burns about 4% sulfur coal), is equipped with three atomizer stations to test the IDS concept in vertical and horizontal configurations. In addition, the pilot plant is equipped to test the effect of injecting IDS off- product upstream of the atomizer, on SO{sub 2}and NO{sub x} removals.

  11. STEP Participant Survey Report

    Office of Energy Efficiency and Renewable Energy (EERE)

    STEP Participant Survey Report, from the Tool Kit Framework: Small Town University Energy Program (STEP).

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

    Energy Information Administration (EIA) (indexed site)

    U.S. Energy Information Administration (EIA) About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports Has your home been selected for the RECS? State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data

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

    Gasoline and Diesel Fuel Update

    Administration (EIA) About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports Has your home been selected for the RECS? State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy

  14. Residential Energy Consumption Survey: Housing Characteristics...

    Gasoline and Diesel Fuel Update

    either air or liquid as the working fluid. It does not refer :<: passive collection of solar thermal energy. Fuel Oil Paid by Household: The household paid directly to the fuel...

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

    SciTech Connect

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

    2005-05-31

    Residential household space heating energy use comprises close to half of all residential energy consumption. Currently, average space heating use by household is 43.9 Mbtu for a year. An average, however, does not reflect regional variation in heating practices, energy costs, or fuel type. Indeed, a national average does not capture regional or consumer group cost impacts from changing efficiency levels of heating equipment. The US Department of Energy sets energy standards for residential appliances in, what is called, a rulemaking process. The residential furnace and boiler efficiency rulemaking process investigates the costs and benefits of possible updates to the current minimum efficiency regulations. Lawrence Berkeley National Laboratory (LBNL) selected the sample used in the residential furnace and boiler efficiency rulemaking from publically available data representing United States residences. The sample represents 107 million households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler rulemaking. This paper describes the choice of criteria to select the sample of houses used in the rulemaking process. The process of data extraction is detailed in the appendices and is easily duplicated. The life-cycle cost is calculated in two ways with a household marginal energy price and a national average energy price. The LCC results show that using an national average energy price produces higher LCC savings but does not reflect regional differences in energy price.

  16. U.S. Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys

    SciTech Connect

    Greenblatt, Jeffery B.; Young, Scott J.; Yang, Hung-Chia; Long, Timothy; Beraki, Bereket; Price, Sarah K.; Pratt, Stacy; Willem, Henry; Desroches, Louis-Benoit

    2013-11-14

    Amazon Mechanical Turk was used, for the first time, to collect statistically representative survey data from U.S. households on the presence, number, type and usage of refrigerators, freezers, and various “miscellaneous” refrigeration products (wine/beverage coolers, residential icemakers and non-vapor compression refrigerators and freezers), along with household and demographic information. Such products have been poorly studied to date, with almost no information available about shipments, stocks, capacities, energy use, etc. A total of 9,981 clean survey responses were obtained from five distinct surveys deployed in 2012. General refrigeration product survey responses were weighted to demographics in the U.S. Energy Information Administration’s Residential Energy Consumption Survey 2009 dataset. Miscellaneous refrigeration product survey responses were weighted according to demographics of product ownership found in the general refrigeration product surveys. Model number matching for a portion of miscellaneous refrigeration product responses allowed validation of refrigeration product characteristics, which enabled more accurate estimates of the penetrations of these products in U.S. households. We estimated that there were 12.3±1.0 million wine/beverage coolers, 5.5(–3.5,+3.2) million residential icemakers and 4.4(–2.7,+2.3) million non-vapor compression refrigerators in U.S. households in 2012. (All numerical results are expressed with ranges indicating the 95% confidence interval.) No evidence was found for the existence of non-vapor compression freezers. Moreover, we found that 15% of wine/beverage coolers used vapor compression cooling technology, while 85% used thermoelectric cooling technology, with the vast majority of thermoelectric units having capacities of less than 30 wine bottles (approximately 3.5 cubic feet). No evidence was found for the existence of wine/beverage coolers with absorption cooling technology. Additionally, we estimated

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

    SciTech Connect

    Zimring, Mark; Fuller, Merrian

    2011-01-24

    The New York legislature passed the Green Jobs-Green New York (GJGNY) Act in 2009. Administered by the New York State Energy Research and Development Authority (NYSERDA), GJGNY programs provide New Yorkers with access to free or low-cost energy assessments,1 energy upgrade services,2 low-cost financing, and training for various 'green-collar' careers. Launched in November 2010, GJGNY's residential initiative is notable for its use of novel underwriting criteria to expand access to energy efficiency financing for households seeking to participate in New York's Home Performance with Energy Star (HPwES) program.3 The GJGNY financing program is a valuable test of whether alternatives to credit scores can be used to responsibly expand credit opportunities for households that do not qualify for traditional lending products and, in doing so, enable more households to make energy efficiency upgrades.

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

    Energy Information Administration (EIA) (indexed site)

    Average household expected to save $675 at the pump in 2015 Although retail gasoline prices have risen in recent weeks U.S. consumers are still expected to save about $675 per household in motor fuel costs this year. In its new monthly forecast, the U.S. Energy Information Administration says the average pump price for regular grade gasoline in 2015 will be $2.43 per gallon. That's about 93 cents lower than last year's average. The savings for consumers will be even bigger during the

  19. Households to pay more than expected to stay warm this winter

    Energy Information Administration (EIA) (indexed site)

    Households to pay more than expected to 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 bills. Homeowners that rely on natural gas will see their total winter expenses rise nearly 13 percent from last winter....while users of electric heat will see a 2.6 percent increase in costs. That's the latest forecast from the U.S. Energy Information Administration. Propane

  20. EERE Success Story-Kingston Creek Hydro Project Powers 100 Households |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Kingston Creek Hydro Project Powers 100 Households EERE Success Story-Kingston Creek Hydro Project Powers 100 Households August 21, 2013 - 12:00am Addthis Nevada-based contracting firm Nevada Controls, LLC used a low-interest loan from the Nevada State Office of Energy's Revolving Loan Fund to help construct a hydropower project in the small Nevada town of Kingston. The Kingston Creek Project-benefitting the Young Brothers Ranch-is a 175-kilowatt hydro generation plant

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

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators"

  2. NEPA Litigation Surveys

    Energy.gov [DOE]

    CEQ publishes surveys on NEPA litigation on an annual basis. These surveys identify the number of cases involving a NEPA based cause of action, Federal agencies that were identified as a lead...

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

    Annual Energy Outlook

    PDF Tables: HC7 Conservation, Million U.S. Households Presents data describing conservation measures taken by the household, participation in demand-side management programs, and ...

  4. 2002 Manufacturing Energy Consumption Survey - User Needs Survey

    Energy Information Administration (EIA) (indexed site)

    2002 Manufacturing Energy Consumption Survey: User-Needs Survey View current results. We need your help in designing the next Energy Consumption Survey (MECS) As our valued...

  5. T-559: Stack-based buffer overflow in oninit in IBM Informix Dynamic Server (IDS) 11.50 allows remote execution

    Energy.gov [DOE]

    Stack-based buffer overflow in oninit in IBM Informix Dynamic Server (IDS) 11.50 allows remote execution attackers to execute arbitrary code via crafted arguments in the USELASTCOMMITTED session environment option in a SQL SET ENVIRONMENT statement

  6. T-582: RSA systems has resulted in certain information being extracted from RSA systems that relates to RSA SecurID

    Energy.gov [DOE]

    RSA investigation has revealed that the attack resulted in certain information being extracted from RSA's systems. Some of that information is related to RSA's SecurID two-factor authentication products.

  7. Environmental Survey preliminary report

    SciTech Connect

    Not Available

    1988-04-01

    This report presents the preliminary findings from the first phase of the Environmental Survey of the United States Department of Energy (DOE) Sandia National Laboratories conducted August 17 through September 4, 1987. The objective of the Survey is to identify environmental problems and areas of environmental risk associated with Sandia National Laboratories-Albuquerque (SNLA). The Survey covers all environmental media and all areas of environmental regulation. It is being performed in accordance with the DOE Environmental Survey Manual. This phase of the Survey involves the review of existing site environmental data, observations of the operations carried on at SNLA, and interviews with site personnel. 85 refs., 49 figs., 48 tabs.

  8. 2014 NERSC User Survey

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    User Survey 2014 NERSC User Survey December 17, 2014 by Francesca Verdier Please take a few minutes to fill out NERSC's annual user survey. Your feedback is important because it allows us to judge the quality of our services, give DOE information on how we are doing, and point us to areas in which we can improve. The survey is on the web at the URL: https://www.nersc.gov/news-publications/publications-reports/user-surveys/2014/ and covers the allocation year 2014. Subscribe via RSS Subscribe

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

    SciTech Connect

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

    2011-01-01

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

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

    SciTech Connect

    Letschert, Virginie; McNeil, Michael A.

    2009-03-23

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

  11. Comparison of energy expenditures by elderly and non-elderly households: 1975 and 1985

    SciTech Connect

    Siler, A.

    1980-05-01

    The relative position of the elderly in the population is examined and their characteristic use of energy in relation to the total population and their non-elderly counterparts is observed. The 1985 projections are based on demographic, economic, and socio-economic, and energy data assumptions contained in the 1978 Annual Report to Congress. The model used for estimating household energy expenditure is MATH/CHRDS - Micro-Analysis of Transfers to Households/Comprehensive Human Resources Data System. Characteristics used include households disposable income, poverty status, location by DOE region and Standard Metropolitan Statistical Area (SMSA), and race and sex of the household head as well as age. Energy use by fuel type will be identified for total home fuels, including electricity, natural gas, bottled gas and fuel oil, and for all fuels, where gasoline use is also included. Throughout the analysis, both income and expenditure-dollar amounts for 1975 and 1985 are expressed in constant 1978 dollars. Two appendices contain statistical information.

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

    SciTech Connect

    Lin, Jiang

    2006-07-10

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

  13. AMENDMENT OF SOLlClTATlONlMODlFlCATlON OF CONTRACT I I. CONTRA'T ID CODE

    National Nuclear Security Administration (NNSA)

    CONTRA'T ID CODE BWXT Pantex, LLC Route 726, Mt. Athos Road Lynchburg, V A 24506 PAGE I OF 2 PAGES Albuquerque, NM 871 85-5400 / Amarillo, TX 79120 I I 9B. DATED (SEE ITEM 11) 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state, ZIP Code) I 10A. MODIFICATION OF CONTRACTIORDER NO. 2. AMENDMENTIMODIFICATION NO. M I 0 8 9A. AMENDMENT OF SOLICITATION NO. DE-AC04-00AL66620 1 1 108. DATED (SEE ITEM 13) 3. EFFECTIVE DATE See Block 16C Offers must acknowledge receipt of this amendment prior to

  14. 1. CON'I'AC'r ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT II 11 3

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    CON'I'AC'r ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT II 11 3 2. AMENDMENT/MODIFICATION NO. 3. EFFECTIVE DATE (M/D.'F) 4. REQUISITION/PURCHASE RE-Q. NO. S. PROJECT1 NO. t7fapplieoble) 27See Block 16C 12EM001839 6. ISUED13Y ODE7. ADMINISTER.ED BY (If uI/wr ius /tem 6) CODE U.S. Department of Energy Office or River Protection P. 0. Box 450, MS 146-60 Richland, WA 99352 1. NAME AND ADDRESS OF CONTRACTOR (No.,stree, county State and Z11' code) 9A, AMENDMEN f

  15. 1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I11 5

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Ap5,sval 2700042 1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I11 5 2. AMENDMENT/MOOIFICATION NO. 3. EFFECTIVE DATE 4. REQUISITION/PURCHASE REQ. NO.5 PROJECT NO. (If applicable) A077 See 16C 06-08RL-14383.O1 1 6. ISSUED BY CODE 7. ADMINISTERED BY (If other than Item 6) CODEJ US. Department of Energy Same as item 6. Richland Operations Office DOE Contracting POC: Richard Stimmrrel P. 0. Box 550, MSIN A7-80 (509) 376-2882 Richland, WA 99352 8 NAME AND

  16. behavioral-survey

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Evacuation Behavior Survey for No-Notice Emergency Scenarios" Presentation at the 93rd TRB Annual Meeting at the Traveler Behavior and Values Committee (ADB10) - Behavioral Process subcommittee; January 13, 2014 Joshua Auld, Vadim Sokolov, Rene Bautista, Angela Fontes Transportation Research and Analysis Computing Center Argonne National Laboratory Biography The presentation details a survey on evacuation response behavior that was conducted as a part of the RTSTEP project. The survey was

  17. Community Leaders Survey

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Community Leaders Survey Community Leaders Survey This survey is a tracking study commissioned by the Lab that helps measure perceived progress in maintaining community relationships and listening and responding to the needs of Northern New Mexico communities. Results help shape and direct the Lab's contributions to the region's future. Latest results show nine-in-ten of the community leaders express satisfaction with LANL's economic impact on the region. Study measures changes in leaders'

  18. Homeowner and Contractor Surveys

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Homeowner and Contractor Surveys, Call Slides and Discussion Summary, January 19, 2012.

  19. ORISE: Characterization surveys

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    objective characterization surveys to define the extent of radiological contamination at sites scheduled for decontamination and decommissioning (D&D). A fundamental...

  20. 2004 User Survey Results

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    13 | Next 2004 User Survey Results Table of Contents Response Summary Respondent Demographics Overall Satisfaction and Importance All Satisfaction, Importance and Usefulness...

  1. 2006 User Survey Results

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    to provide overall comments about NERSC: Here are the survey results: Respondent Demographics Overall Satisfaction and Importance All Satisfaction, Importance and Usefulness...

  2. 2005 User Survey Results

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    10 | Next 2005 User Survey Results Table of Contents Response Summary Respondent Demographics All Satisfaction, Importance and Usefulness Ratings Hardware Resources Software...

  3. 2003 User Survey Results

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    10 | Next 2003 User Survey Results Table of Contents Response Summary Respondent Demographics Overall Satisfaction and Importance All Satisfaction Topics and Changes from...

  4. 2011 NERSC User Survey (Read Only)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2010/2011 User Survey Results Survey Text 2009/2010 User Survey Results 2008/2009 User Survey Results 2007/2008 User Survey Results 2006 User Survey Results 2005 User Survey Results 2004 User Survey Results 2003 User Survey Results 2002 User Survey Results 2001 User Survey Results 2000 User Survey Results 1999 User Survey Results 1998 User Survey Results HPC Requirements for Science HPC Workshop Reports NERSC Staff Publications & Presentations Journal Cover Stories Galleries facebook icon

  5. The importance of China's household sector for black carbon emissions - article no. L12708

    SciTech Connect

    Streets, D.G.; Aunan, K.

    2005-06-30

    The combustion of coal and biofuels in Chinese households is a large source of black carbon (BC), representing about 10-15% of total global emissions during the past two decades, depending on the year. How the Chinese household sector develops during the next 50 years will have an important bearing on future aerosol concentrations, because the range of possible outcomes (about 550 Gg yr{sup -1}) is greater than total BC emissions in either the United States or Europe (each about 400-500 Gg yr{sup -1}). In some Intergovernmental Panel on Climate Change scenarios biofuels persist in rural China for at least the next 50 years, whereas in other scenarios a transition to cleaner fuels and technologies effectively mitigates BC emissions. This paper discusses measures and policies that would help this transition and also raises the possibility of including BC emission reductions as a post-Kyoto option for China and other developing countries.

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

    SciTech Connect

    Cameron, M.

    1995-09-01

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

  7. Identification of influencing municipal characteristics regarding household waste generation and their forecasting ability in Biscay

    SciTech Connect

    Oribe-Garcia, Iraia Kamara-Esteban, Oihane; Martin, Cristina; Macarulla-Arenaza, Ana M.; Alonso-Vicario, Ainhoa

    2015-05-15

    Highlights: • We have modelled household waste generation in Biscay municipalities. • We have identified relevant characteristics regarding household waste generation. • Factor models are used in order to identify the best subset of explicative variables. • Biscay’s municipalities are grouped by means of hierarchical clustering. - Abstract: The planning of waste management strategies needs tools to support decisions at all stages of the process. Accurate quantification of the waste to be generated is essential for both the daily management (short-term) and proper design of facilities (long-term). Designing without rigorous knowledge may have serious economic and environmental consequences. The present works aims at identifying relevant socio-economic features of municipalities regarding Household Waste (HW) generation by means of factor models. Factor models face two main drawbacks, data collection and identifying relevant explanatory variables within a heterogeneous group. Grouping similar characteristics observations within a group may favour the deduction of more robust models. The methodology followed has been tested with Biscay Province because it stands out for having very different municipalities ranging from very rural to urban ones. Two main models are developed, one for the overall province and a second one after clustering the municipalities. The results prove that relating municipalities with specific characteristics, improves the results in a very heterogeneous situation. The methodology has identified urban morphology, tourism activity, level of education and economic situation as the most influencing characteristics in HW generation.

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

    Gasoline and Diesel Fuel Update

    This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energy consumption actually decreased from 10.58 quads to ...

  9. AMENDMENT OF SOLIr ATI ON/MODIFI CATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    SOLIr ATI ON/MODIFI CATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES 2 AMENDMENT/lIVDDIFICATiON NC 3. EFFECTIVE DATE [4 REDUISITION/PURCHASE REC NO IE PR3JECT NC (if applicable) 09 ISoe Bloo , 16- - ISee Soheoule S ISSUED D> CODE 7 ~ ADMINISTERED BY (if otnertrian ItemS CO DE Of fice of Ri-.er PoDLecOLODn office of Riv'er P-oCQ-ec-.iQ .S. Cet:F O<men of E-nerov,, I.S. Deparo:merio c-' Enrgv P.O. Box 4'5C 0 ... Box 45C .io ao 1 31 W YS: (-876 B. NAME AND ADDRESS CF CONTRACTOR (No seve

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

    SciTech Connect

    Train, K.; Atherton, T.

    1994-11-01

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

  11. Dark Energy Survey

    SciTech Connect

    Roodman, Aaron; Nord, Brian; Elliot, Ann

    2012-12-06

    Members of the Dark Energy Survey collaboration explain what they hope to learn by studying the southern sky with the world's most advanced digital camera, mounted on a telescope in Chile.

  12. 2000 User Survey Results

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    "NERSC has been the most stable supercomputer center in the country particularly with the migration from the T3E to the IBM SP". "Makes supercomputing easy." Below are the survey...

  13. REMS Webinar Survey

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Safety and Security Thank you for participating in the inaugural DOE REMS Webinar that was held on Tuesday, March 8 at 1:00 pm EST. Please take a moment to respond to this survey. ...

  14. Dark Energy Survey

    ScienceCinema

    Roodman, Aaron; Nord, Brian; Elliot, Ann

    2014-08-12

    Members of the Dark Energy Survey collaboration explain what they hope to learn by studying the southern sky with the world's most advanced digital camera, mounted on a telescope in Chile.

  15. Benchmarking survey for recycling.

    SciTech Connect

    Marley, Margie Charlotte; Mizner, Jack Harry

    2005-06-01

    This report describes the methodology, analysis and conclusions of a comparison survey of recycling programs at ten Department of Energy sites including Sandia National Laboratories/New Mexico (SNL/NM). The goal of the survey was to compare SNL/NM's recycling performance with that of other federal facilities, and to identify activities and programs that could be implemented at SNL/NM to improve recycling performance.

  16. 2010 Federal Employee Viewpoint Survey

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Federal Employee Viewpoint Survey Page 1 of 20 ...Department of Energy 2010 Federal Employee Viewpoint Survey: Trend Report (2006 and 2008 ...

  17. User Survey | Argonne Leadership Computing Facility

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Survey User Survey Results The ALCF conducts yearly surveys to gain a better understanding of how we can improve the user experience at ALCF. Below are the numeric results of these surveys. 2015 ALCF User Survey Results 2014 ALCF User Survey Results 2013 ALCF User Survey Results 2012 ALCF User Survey Results 2011 ALCF User Survey Results 2010 ALCF User Survey Results 2009 ALCF User Survey Results 2008 ALCF User Survey Results

  18. Data Mining for Security Information: A Survey

    SciTech Connect

    Brugger, S T; Kelley, M; Sumikawa, K; Wakumoto, S

    2001-04-19

    This paper will present a survey of the current published work and products available to do off-line data mining for computer network security information. Hundreds of megabytes of data are collected every second that are of interest to computer security professionals. This data can answer questions ranging from the proactive, ''Which machines are the attackers going to try to compromise?'' to the reactive, ''When did the intruder break into my system and how?'' Unfortunately, there's so much data that computer security professionals don't have time to sort through it all. What we need are systems that perform data mining at various levels on this corpus of data in order to ease the burden of the human analyst. Such systems typically operate on log data produced by hosts, firewalls and intrusion detection systems as such data is typically in a standard, machine readable format and usually provides information that is most relevant to the security of the system. Systems that do this type of data mining for security information fall under the classification of intrusion detection systems. It is important to point out that we are not surveying real-time intrusion detection systems. Instead, we examined what is possible when the analysis is done off-line. Doing the analysis off-line allows for a larger amount of data correlation between distant sites who transfer relevant log files periodically and may be able to take greater advantage of an archive of past logs. Such a system is not a replacement for a real-time intrusion detection system but should be used in conjunction with one. In fact, as noted previously, the logs of the real-time IDS may be one of the inputs to the data mining system. We will concentrate on the application of data mining to network connection data, as opposed to system logs or the output of real-time intrusion detection systems. We do this primarily because this data is readily obtained from firewalls or real-time intrusion detectors and it

  19. NEPA Litigation Surveys | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    NEPA Litigation Surveys NEPA Litigation Surveys CEQ publishes surveys on NEPA litigation on an annual basis. These surveys identify the number of cases involving a NEPA based cause...

  20. Association of pediatric asthma severity with exposure to common household dust allergens

    SciTech Connect

    Gent, Janneane F.; Belanger, Kathleen; Triche, Elizabeth W.; Beckett, William S.; Leaderer, Brian P.

    2009-08-15

    Background: Reducing exposure to household dust inhalant allergens has been proposed as one strategy to reduce asthma. Objective: To examine the dose-response relationships and health impact of five common household dust allergens on disease severity, quantified using both symptom frequency and medication use, in atopic and non-atopic asthmatic children. Methods: Asthmatic children (N=300) aged 4-12 years were followed for 1 year. Household dust samples from two indoor locations were analyzed for allergens including dust mite (Der p 1, Der f 1), cat (Fel d 1), dog (Can f 1), cockroach (Bla g 1). Daily symptoms and medication use were collected in monthly telephone interviews. Annual disease severity was examined in models including allergens, specific IgE sensitivity and adjusted for age, gender, atopy, ethnicity, and mother's education. Results: Der p 1 house dust mite allergen concentration of 2.0 {mu}g/g or more from the main room and the child's bed was related to increased asthma severity independent of allergic status (respectively, OR 2.93, 95% CI 1.37, 6.30 for 2.0-10.0 {mu}g/g and OR 2.55 95% CI 1.13, 5.73 for {>=}10.0 {mu}g/g). Higher pet allergen levels were associated with greater asthma severity, but only for those sensitized (cat OR 2.41 95% CI 1.19, 4.89; dog OR 2.06 95% CI 1.01, 4.22). Conclusion: Higher levels of Der p 1 and pet allergens were associated with asthma severity, but Der p 1 remained an independent risk factor after accounting for pet allergens and regardless of Der p 1 specific IgE status.

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

    SciTech Connect

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

    1987-01-01

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

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

    Energy Information Administration (EIA) (indexed site)

    0 Home Appliances Usage Indicators by Number of Household Members, 2005 Total.............................................................................. 111.1 30.0 34.8 18.4 15.9 12.0 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day........................................... 8.2 1.4 1.9 1.4 1.0 2.4 2 Times A Day........................................................ 24.6 4.3 7.6 4.3 4.8 3.7 Once a Day............................................................ 42.3 9.9

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

    Energy Information Administration (EIA) (indexed site)

    2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total................................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer............................. 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer.......................................... 75.6 13.8 25.4 14.4 13.2 8.8 Most-Used Personal Computer Type of PC Desk-top Model.....................................................

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

    Energy Information Administration (EIA) (indexed site)

    2 Living Space Characteristics by Number of Household Members, 2005 Total...................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500............................................... 3.2 1.7 0.8 0.4 0.3 Q 500 to 999....................................................... 23.8 10.2 6.4 3.4 2.3 1.5 1,000 to 1,499................................................. 20.8 5.5 6.3 3.0 3.3 2.6 1,500 to

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

    Energy Information Administration (EIA) (indexed site)

    7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total........................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Cooling Equipment.......................... 17.8 5.4 5.3 2.7 2.5 2.0 Have Cooling Equipment...................................... 93.3 24.6 29.6 15.7 13.4 10.0 Use Cooling Equipment....................................... 91.4 24.0 29.1 15.5 13.2 9.7 Have Equipment But Do Not Use it......................

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

    Energy Information Administration (EIA) (indexed site)

    HC6.9 Home Appliances Characteristics by Number of Household Members, 2005 Total U.S.............................................................. 111.1 30.0 34.8 18.4 15.9 12.0 Cooking Appliances Conventional Ovens Use an Oven.................................................. 109.6 29.5 34.4 18.2 15.7 11.8 1................................................................. 103.3 28.4 32.0 17.3 14.7 11.0 2 or More.................................................... 6.2 1.1 2.5 1.0 0.9 0.8 Do Not

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

    SciTech Connect

    Bigum, Marianne; Petersen, Claus; Scheutz, Charlotte

    2013-11-15

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

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

    SciTech Connect

    Doležalová, Markéta; Benešová, Libuše; Závodská, Anita

    2013-09-15

    Highlights: • The character of household waste in the three different types of households were assesed. • The quantity, density and composition of household waste were determined. • The physicochemical characteristics were determined. • The changing character of household waste during past 10 years was described. • The potential of energy recovery of household waste in Czech republic was assesed. - Abstract: The authors of this paper report on the changing character of household waste, in the Czech Republic between 1999 and 2009 in households differentiated by their heating methods. The data presented are the result of two projects, financed by the Czech Ministry of Environment, which were undertaken during this time period with the aim of focusing on the waste characterisation and complete analysis of the physicochemical properties of the household waste. In the Czech Republic, the composition of household waste varies significantly between different types of households based on the methods of home heating employed. For the purposes of these studies, the types of homes were divided into three categories – urban, mixed and rural. Some of the biggest differences were found in the quantities of certain subsample categories, especially fine residue (matter smaller than 20 mm), between urban households with central heating and rural households that primarily employ solid fuel such coal or wood. The use of these solid fuels increases the fraction of the finer categories because of the higher presence of ash. Heating values of the residual household waste from the three categories varied very significantly, ranging from 6.8 MJ/kg to 14.2 MJ/kg in 1999 and from 6.8 MJ/kg to 10.5 MJ/kg in 2009 depending on the type of household and season. The same factors affect moisture of residual household waste which varied from 23.2% to 33.3%. The chemical parameters also varied significantly, especially in the quantities of Tl, As, Cr, Zn, Fe and Mn, which were higher in

  9. STEP Participant Survey Executive Summary

    Energy.gov [DOE]

    STEP Participant Survey Executive Summary, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  10. 2001 FEMP customer survey appendices

    SciTech Connect

    Hall, Nicholas P.; Reed, John H.; Talerico, Thomas P.; Riggert, Jeff; Oh, Andrew; Jordan, Gretchen

    2002-02-01

    Appendix A: Survey Instrument; Appendix B: Detailed Responses; Appendix C: Adoption and Diffusion of Innovations

  11. Video imaging systems: A survey

    SciTech Connect

    Kefauver, H.L.

    1989-07-01

    Recent technological advances in the field of electronics have made video imaging a viable substitute for the traditional Polaroid/trademark/ picture used to create photo ID credentials. New families of hardware and software products, when integrated into a system, provide an exciting and powerful toll which can be used simply to make badges or enhance an access control system. This report is designed to make the reader aware of who is currently in this business and compare their capabilities.

  12. Survey Evidence on the Willingness of U.S. Consumers to Pay for Automotive Fuel Economy

    SciTech Connect

    Greene, David L; Evans, David H; Hiestand, John

    2013-01-01

    Prospect theory, which was awarded the Nobel Prize in Economics in 2002, holds that human beings faced with a risky bet will tend to value potential losses about twice as much as potential gains. Previous research has demonstrated that prospect theory could be sufficient to explain an energy paradox in the market for automotive fuel economy. This paper analyzes data from four random sample surveys of 1,000 U.S. households each in 2004, 2011, 2012 and 2013. Households were asked about willingness to pay for future fuel savings as well as the annual fuel savings necessary to justify a given upfront payment. Payback periods inferred from household responses are consistent over time and across different formulations of questions. Mean calculated payback periods are short, about 3 years, but there is substantial dispersion among individual responses. Calculated payback periods do not appear to be correlated with the attributes of respondents. Respondents were able to quantitatively describe their uncertainty about both vehicle fuel economy and future fuel prices. Simulation of loss averse behavior based on this stated uncertainty illustrate how loss aversion could lead consumers to substantially undervalue future fuel savings relative to their expected value.

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

    SciTech Connect

    Karvelas, D.E.; Jody, B.J.; Poykala, J.A. Jr.; Daniels, E.J.; Arman, B. |

    1996-03-01

    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.

  14. Solar Site Survey Toolkit

    Energy.gov [DOE]

    After a couple outings, a principal technologist at Sandia National Laboratories saw a need for a travel kit that would have the necessary tools to make the task of site surveys more manageable and safer. They have had great success using the kit in the field already.

  15. MONTHLY RADIATION SURVEY TECHNICAL BASIS

    SciTech Connect

    BROWN, R.L.

    2003-06-13

    This document details the technical basis, analysis, and justification for rescheduling radiation surveys in occupied radiation areas within Tank Farm Facilities from a weekly to a monthly frequency. The purpose of this document is to provide the technical basis, analysis, and justification for seeking a technical equivalency determination (TED) to TFRCM Article 552.1.b. The scope of this document limited to radiation surveys in occupied areas, no equivalency is being sought for high radiation area boundary surveys, radiological buffer area surveys, active ventilations surveys, or work coverage surveys.

  16. ARM User Survey Report

    SciTech Connect

    Roeder, LR

    2010-06-22

    The objective of this survey was to obtain user feedback to, among other things, determine how to organize the exponentially growing data within the Atmospheric Radiation Measurement (ARM) Climate Research Facility, and identify users’ preferred data analysis system. The survey findings appear to have met this objective, having received approximately 300 responses that give insight into the type of work users perform, usage of the data, percentage of data analysis users might perform on an ARM-hosted computing resource, downloading volume level where users begin having reservations, opinion about usage if given more powerful computing resources (including ability to manipulate data), types of tools that would be most beneficial to them, preferred programming language and data analysis system, level of importance for certain types of capabilities, and finally, level of interest in participating in a code-sharing community.

  17. Sloan digital sky survey

    SciTech Connect

    Kent, S.M.; Stoughton, C.; Newberg, H.; Loveday, J.; Petravick, D.; Gurbani, V.; Berman, E.; Sergey, G.; Lupton, R.

    1994-04-01

    The Sloan Digital Sky Survey will produce a detailed digital photometric map of half the northern sky to about 23 magnitude using a special purpose wide field 2.5 meter telescope. From this map we will select {approximately} 10{sup 6} galaxies and 10{sup 5} quasars, and obtain high resolution spectra using the same telescope. The imaging catalog will contain 10{sup 8} galaxies, a similar number of stars, and 10{sup 6} quasar candidates.

  18. DOE/ID-Number

    Office of Environmental Management (EM)

    08 U.S. Department of Energy, Office of Nuclear Energy DOE/EIS-0396 Summary Draft Global Nuclear Energy Partnership Programmatic Environmental Impact Statement Draft Global Nuclear Energy Partnership Programmatic Environmental Impact Statement October 2008 Summary Prepared by: DOE/EIS-0396 SUMMARY Summary GNEP Draft PEIS S-i Table of Contents S.1 INTRODUCTION................................................................................................................... 1 S.1.1 Purpose and

  19. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Disposal in Crystalline Rocks 9262014 v Used Fuel Disposal in Crystalline Rocks: ... DEPTH AND DOSE RATE PROFILE USED IN MPM V2 287 9.6 INCORPORATION OF RADIOLYSIS MODEL ...

  20. Blind Modal ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Blind separation of high-resolution vibration modes High-resolution video camera measurement of the structural vibration (the top video) could be separated into individual, ...

  1. Badging, Real ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Foreign national guests and employees must have an approved visit and present a valid passport and documentation of US legal status and work authorizations. Official visitors are...

  2. 11. CONTRACT ID CODE

    National Nuclear Security Administration (NNSA)

    79120 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state, ZIP Code) Babcock & Wilcox Technical Services Pantex, LLC PO Box 30020 Amarillo, TX 79120 CODE I FACILITY ...

  3. 2-ID-E

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    General Users. For example, in collaboration with G. Woloschak et al, we have looked at TiO2-DNA nanocomposites in mammalian cells 1; B. Twining et al investigate trace elements...

  4. ID.pdf

    Energy Saver

  5. DOE/ID-Number

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Version 1.0," http:www.esisac.compublicdocsGuidesSecurityGuidelinesElectricitySector-Version1.pdf 14. U.S. Federal Energy Regulatory Commission, Security Standards for ...

  6. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Prepared for US Department of Energy Used Fuel Disposition Campaign J.-A. Wang, H. Wang, and H. Jiang B. B. Bevard and R. L. Howard Oak Ridge National Laboratory September 2014 ...

  7. Beamline 29-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    sided bounce Mirror (M1) 31.3 m Heat-sink, side bounce Monochromater (M2, LEG, MEG, HEG) 39.7 m In-Focus VLS-PGM Exit Slit 59.7 m Both RSXS and ARPES branchlines Mirror...

  8. DOE/ID-Number

    Office of Environmental Management (EM)

    ... Each shell was formed by cold forming a plate into a cylinder, then making a single ... zone (i.e., the region near the weld fusion zone that has been impacted by the heat ...

  9. Badging, Real ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Contact Badge Office (505) 667-6901 Email Badge requirements US citizen ... The Department of Homeland Security has provided a list of acceptable secondary documents that can be used ...

  10. Beamline 29-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    component; implementation of beamline controls and safety systems (cleanroom, FOE progress, FOE progress2) Fall 2012 FDR approval (October 15) Installation of...

  11. DOE/ID-Number

    Office of Environmental Management (EM)

    Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste Prepared for U.S. Department of Energy Used Nuclear Fuel S. David Sevougian, SNL Geoff...

  12. DOE/ID-Number

    Office of Scientific and Technical Information (OSTI)

    Microfluidic Sampling System for High Temperature Electrochemical MC&A September 26, 2013 II DISCLAIMER This information was prepared as an account of work sponsored by an agency...

  13. DOE/ID-Number

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    storage, conveying systems and a pellet 110 pulverizer to insure that the appropriate recipe of material enters the throat of the conversion reactor in the appropriate blends and...

  14. DOE/ID-Number

    Energy.gov [DOE] (indexed site)

    ... an organization's external services to a larger, untrusted network, usually the Internet. ... This frequently includes such things as gaining control of a computer system or allowing ...

  15. DOE/ID-Number

    Office of Environmental Management (EM)

    ... verifying their safety characteristics requires improved tools for modeling and simulating diverse phenomena including neutronics, thermal fluid dynamics, and structural mechanics. ...

  16. Beamline 29-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    eV Energy resolution: 1.8 meV, Angular resolution: 0.01 6-axis cryomanipulator Polar Rotation: 180 Tilt Rotation:-10 to 35 Azimutal Rotation: 45 Temperature: 800-10K...

  17. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... The top layer in the system model is where the customer application resides. In terms of ... Link Keys, on the other hand, are secret session keys used between two communicating ...

  18. DOE/ID-Number

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Signage and Posting Guidelines CAES is a destination point for world-renowned researchers, private industry partners, politicians, CAES patrons and other dignitaries. For this...

  19. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Disposal Options for Research and Development for Spent Nuclear Fuel and High Basis for Identification of Disposal Options for Research and Development for Spent Nuclear Fuel and High-Level Waste Prepared for U.S. Department of Energy Used Fuel Disposition Campaign Rob P. Rechard Barry Goldstein Larry H. Brush Sandia National Laboratories James A. Blink Mark Sutton Lawrence Livermore National Laboratory Frank V. Perry Los Alamos National Laboratory March FCRD-USED-2011-0000 asis for

  20. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Vision and Strategy for the Development and Deployment of Advanced Reactors 2016 Version 21 27 May 2016 Unpublished Draft 2 Vision and Strategy for the Development and Deployment of Advanced Reactors EXECUTIVE SUMMARY Global efforts to address climate change and meet increasing energy needs require greater use of clean energy sources in the United States and elsewhere. In particular, massive deployment of clean power will be needed by mid-century to meet clean energy commitments negotiated

  1. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Dry Storage Cask Inventory Assessment Prepared for U.S. Department of Energy Nuclear Fuels Storage and Transportation Planning Project Robert H. Jones Jr. (SRNL) August 31, 2015 FCRD-NFST-2014-000602, Revision 1 SRNL-TR-2014-00193 DISCLAIMER This information was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or

  2. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    INEEL/EXT-04-02423 ABB SCADA/EMS System INEEL Baseline Summary Test Report J. R. Davidson M. R. Permann B. L. Rolston S. J. Schaeffer November 2004 Prepared by: Idaho National Engineering and Environmental Laboratory INEEL/EXT-04-02423 ABB SCADA/EMS System INEEL Baseline Summary Test Report J. R. Davidson M. R. Permann B. L. Rolston S. J. Schaeffer November 2004 Idaho National Engineering and Environmental Laboratory INEEL National Security Division Idaho Falls, Idaho 83415 Prepared for the U.S.

  3. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... 6. The commercial light water reactor used fuel inventory from Three Mile Island stored at the Idaho National Laboratory (INL) is included in the database for this report. ...

  4. DOE/ID-Number

    Energy.gov [DOE] (indexed site)

    Prepared for US Department of Energy Nuclear Fuel Storage and Transportation Planning ... for the US Department of Energy National Nuclear Security Administration under contract ...

  5. DOE/ID-Number

    Energy.gov [DOE] (indexed site)

    Disposal Options for Research and Development for Spent Nuclear Fuel and High Basis for Identification of Disposal Options for Research and Development for Spent Nuclear Fuel and ...

  6. DOE/ID-Number

    Energy Saver

    FRONT COVER Final Supplemental Environmental Impact Statement for the Production of Tritium in a Commercial Light Water Reactor Summary U.S. Department of Energy National Nuclear Security Administration DOE/EIS-0288-S1 February 2016 ACRONYMS AND ABBREVIATIONS CFR Code of Federal Regulations CLWR commercial light water reactor CRD Comment Response Document DOE U.S. Department of Energy EIS environmental impact statement EPA U.S. Environmental Protection Agency FR Federal Register NEPA National

  7. Beamline 29-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Lab, APS) Christa Benson Dr. Jonathan Lang Dr. Jessica McChesney Dr. Mohan Ramanathan Dr. Ruben Reininger Dr. Richard Rosenberg Dr. George Srajer IEX - Advisory Committee Dr Dario...

  8. DOE/ID-Number

    Office of Environmental Management (EM)

    ... site 44 3.2.2 Modeling approach 48 3.2.3 FE Model Setup 49 ... modeling the HG-A test 85 3.4 Concluding Remarks 101 3.5 References 103 4. International Collaboration - Radionuclide ...

  9. DOE/ID-Number

    Office of Environmental Management (EM)

    Fuel Cycle Research & Development Initial Standardized Canister System Evaluation Prepared for US Department of Energy Nuclear Fuels Storage and Transportation Planning Project ...

  10. DOE/ID-Number

    Office of Environmental Management (EM)

    ... The laptop is a Compaq Evo with a Mobile Intel Pentium M running Windows XP ... Since it is based on IP address, the software is capable of scanning any element of a system ...

  11. Beamline 29-ID

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Resonant Soft X-ray Scattering (RSXS) Diffractometer: 7-axes "kappa" geometry 10 K closed-cycle cryostat Detectors: Microchannel plate, area detector Electron yield detector TES...

  12. DOE/ID-Number

    Energy Saver

    ... 21, 2015 ACRONYMS ASME B&PVC American Society of Mechanical Engineers Boiler and Pressure Vessel Code ASTM American Society for Testing and Materials CISCC Chloride Induced ...

  13. Data ID Service

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Beyond broad availability of technical reports, e-prints and multimedia, and publication in peer-reviewed journals, open access to experimental data and analysis codes is ...

  14. DOE/ID-Number

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    production of a range of liquid fuels and fuel blendstocks from lignocellulosic biomass feedstocks by funding fundamental and applied research that advances the state of...

  15. DOE/ID-Number

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    non-industrial private forest land who wish to establish, produce, and deliver biomass feedstocks. It provides two categories of assistance: (1) Matching payments may be...

  16. acceptable-ID.pdf

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

  17. DOE/ID-Number

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    ... demonstrated irradiation assisted stress corrosion cracking (IASCC) issues associated with these materials in the sodium fast reactors are not present in LWR environments. ...

  18. DOE/ID-Number

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Used Fuel Disposal in Crystalline Rocks: FY15 Progress Report Prepared for U.S. Department of Energy Used Fuel Disposition Y. Wang, T. Hadgu, E. Matteo, J. N. Kruichak, M. M. Mills ...

  19. ID-2011-01526

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

  20. DOE/ID-Number

    Office of Environmental Management (EM)

    data from short-term tests. To collect the necessary data as part of the R&D program and engineering-scale demonstration, more effective monitoring systems must be developed to...

  1. DOE/ID-Number

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    76 Idaho National Laboratory Radiological Response Training Range Environmental Assessment Final October 2010 DOE/EA-1776 Idaho National Laboratory Radiological Response Training Range Environmental Assessment Final October 2010 Prepared for the U.S. Department of Energy Idaho Operations Office i CONTENTS GLOSSARY ................................................................................................................................................ iii EXECUTIVE SUMMARY

  2. DOE/ID-Number

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    822 Idaho National Laboratory Stand-Off Experiment (SOX) Range Environmental Assessment Final March 2011 DOE/EA-1822 Idaho National Laboratory Stand-Off Experiment (SOX) Range Environmental Assessment Final March 2011 Prepared for the U.S. Department of Energy Idaho Operations Office i CONTENTS ACRONYMS ............................................................................................................................................... iii GLOSSARY

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

    SciTech Connect

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

    2008-01-25

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

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

    Energy Information Administration (EIA) (indexed site)

    4 Space Heating Characteristics by Number of Household Members, 2005 Total..................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Space Heating Equipment............ 1.2 0.3 0.3 Q 0.2 0.2 Have Main Space Heating Equipment............... 109.8 29.7 34.5 18.2 15.6 11.8 Use Main Space Heating Equipment................. 109.1 29.5 34.4 18.1 15.5 11.6 Have Equipment But Do Not Use It................... 0.8 Q Q Q Q Q Main Heating Fuel and

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

    Energy Information Administration (EIA) (indexed site)

    5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005

  6. Particle and gas emissions from a simulated coal-burning household fire pit

    SciTech Connect

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

    2008-04-01

    An open fire was assembled with firebricks to simulate the household fire pit used in rural China, and 15 different coals from this area were burned to measure the gaseous and particulate emissions. Particle size distribution was studied with a microorifice uniform-deposit impactor (MOUDI). Over 90% of the particulate mass was attributed to sub-micrometer particles. The carbon balance method was used to calculate the emission factors. Emission factors for four pollutants (particulate matter, CO{sub 2}, total hydrocarbons, and NOx) were 2-4 times higher for bituminous coals than for anthracites. In past inventories of carbonaceous emissions used for climate modeling, these two types of coal were not treated separately. The dramatic emission factor difference between the two types of coal warrants attention in the future development of emission inventories. 25 refs., 8 figs., 1 tab.

  7. A Green Approach to SNF Reprocessing: Are Common Household Reagents the Answer?

    SciTech Connect

    Peper, Shane M.; McNamara, Bruce K.; O'Hara, Matthew J.; Douglas, Matthew

    2008-04-03

    It has been discovered that UO2, the principal component of spent nuclear fuel (SNF), can efficiently be dissolved at room temperature using a combination of common household reagents, namely hydrogen peroxide, baking soda, and ammonia. This rather serendipitous discovery opens up the possibility, for the first time, of considering a non-acidic process for recycling U from SNF. Albeit at the early stages of development, our unconventional dissolution approach possesses many attractive features that could make it a reality in the future. With dissolution byproducts of water and oxygen, our approach poses a minimal threat to the environment. Moreover, the use of common household reagents to afford actinide oxide dissolution suggests a certain degree of economic favorability. With the use of a “closed” digestion vessel as a reaction chamber, our approach has substantial versatility with the option of using either aqueous or gaseous reactant feeds or a combination of both. Our approach distinguishes itself from all existing reprocessing technologies in two important ways. First and foremost, it is an alkaline rather than an acidic process, using mild non-corrosive chemicals under ambient conditions to effect actinide separations. Secondly, it does not dissolve the entire SNF matrix, but rather selectively solubilizes U and other light actinides for subsequent separation, resulting in potentially faster head-end dissolution and fewer downstream separation steps. From a safeguards perspective, the use of oxidizing alkaline solutions to effect actinide separations also potentially offers a degree of inherent proliferation resistance, by allowing the U to be selectively removed from the remaining dissolver solution while keeping Pu grouped with the other minor actinides and fission products. This paper will describe the design and general experimental setup of a “closed” digestion vessel for performing uranium oxide dissolutions under alkaline conditions using

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

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy ...

  9. ERβ1 inhibits the migration and invasion of breast cancer cells through upregulation of E-cadherin in a Id1-dependent manner

    SciTech Connect

    Zhou, Yan; Ming, Jia; Xu, Yan; Zhang, Yi; Jiang, Jun

    2015-02-06

    Highlights: • Expression of ERβ1 was positively correlated with E-cadherin in breast cancer cell. • ERβ1 upregulates E-cadherin expression in breast cancer cell lines. • ERβ1 upregulates E-cadherin expression in a Id1-dependent manner. - Abstract: ERβ1 is a member of the nuclear receptor superfamily of ligand-regulated transcription factors. It plays an important role in regulating the progression of breast cancer. However, the mechanisms of ERβ1 in tumorigenesis, metastasis and prognosis are still not fully clear. In this study, we showed that the expression of ERβ1 was positively correlated with E-cadherin expression in breast cancer cell lines. In addition, we found that ERβ1 upregulates E-cadherin expression in breast cancer cell lines. Furthermore, we also found that ERβ1 inhibits the migration and invasion of breast cancer cells and upregulated E-cadherin expression in a Id1-dependent manner. Taken together, our study provides further understanding of the molecular mechanism of ERβ1 in tumor metastasis and suggests the feasibility of developing novel therapeutic approaches to target Id1 to inhibit breast cancer metastasis.

  10. Design Code Survey Form | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Design Code Survey Form Design Code Survey Form Survey of Safety Software Used in Design of Structures, Systems, and Components 1. Introduction The Department's Implementation Plan ...

  11. Homeowner and Contractor Surveys | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Homeowner and Contractor Surveys Homeowner and Contractor Surveys Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Homeowner and Contractor Surveys, ...

  12. Chinese Geological Survey | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Chinese Geological Survey Jump to: navigation, search Name: Chinese Geological Survey Place: China Sector: Geothermal energy Product: Chinese body which is involved in surveys of...

  13. User-needs study for the 1993 residential energy consumption survey

    SciTech Connect

    Not Available

    1993-09-24

    During 1992, the Energy Information Administration (EIA) conducted a user-needs study for the 1993 Residential Energy Consumption Survey (RECS). Every 3 years, the RECS collects information on energy consumption and expenditures for various classes of households and residential buildings. The RECS is the only source of such information within EIA, and one of only a few sources of such information anywhere. EIA sent letters to more than 750 persons, received responses from 56, and held 15 meetings with users. Written responses were also solicited by notices published in the April 14, 1992 Federal Register and in several energy-related publications. To ensure that the 1993 RECS meets current information needs, EIA made a specific effort to get input from policy makers and persons needing data for forecasting efforts. These particular needs relate mainly to development of the National Energy Modeling System and new energy legislation being considered at the time of the user needs survey.

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

    SciTech Connect

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

    2000-05-01

    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.

  15. An International Survey of Electric Storage Tank Water Heater Efficiency and Standards

    SciTech Connect

    Johnson, Alissa; Lutz, James; McNeil, Michael A.; Covary, Theo

    2013-11-13

    Water heating is a main consumer of energy in households, especially in temperate and cold climates. In South Africa, where hot water is typically provided by electric resistance storage tank water heaters (geysers), water heating energy consumption exceeds cooking, refrigeration, and lighting to be the most consumptive single electric appliance in the home. A recent analysis for the Department of Trade and Industry (DTI) performed by the authors estimated that standing losses from electric geysers contributed over 1,000 kWh to the annual electricity bill for South African households that used them. In order to reduce this burden, the South African government is currently pursuing a programme of Energy Efficiency Standards and Labelling (EES&L) for electric appliances, including geysers. In addition, Eskom has a history of promoting heat pump water heaters (HPWH) through incentive programs, which can further reduce energy consumption. This paper provides a survey of international electric storage water heater test procedures and efficiency metrics which can serve as a reference for comparison with proposed geyser standards and ratings in South Africa. Additionally it provides a sample of efficiency technologies employed to improve the efficiency of electric storage water heaters, and outlines programs to promote adoption of improved efficiency. Finally, it surveys current programs used to promote HPWH and considers the potential for this technology to address peak demand more effectively than reduction of standby losses alone

  16. Steam System Survey Guide

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    1/263 Steam System Survey Guide Greg Harrell, Ph.D., P.E. DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge. Web site http://www.osti.gov/bridge Reports produced before January 1, 1996, may be purchased by members of the public from the following source. National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone 703-605-6000 (1-800-553-6847) TDD 703-487-4639 Fax

  17. A synthesis of transcriptomic surveys to dissect the genetic...

    Office of Scientific and Technical Information (OSTI)

    Additional Journal Information: Journal Volume: 31; Journal Issue: C; Journal ID: ISSN 1369-5266 Publisher: Elsevier Sponsoring Org: USDOE Country of Publication: Country unknown...

  18. 2009 Residential Energy Consumption Survey Form EIA-457C (2009...

    Energy Information Administration (EIA) (indexed site)

    building at HUBUILDADDRESS. PRELOAD HH UNIT NUMBER: RAUNIT PRELOAD RA CASE ID: ... Expiring Month DD, 20YY 2 PRELOAD HH BUILDING ADDRESS: HUBUILDADDRESS PRELOAD ...

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

    SciTech Connect

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

    2012-10-15

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

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

    SciTech Connect

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

    1999-07-16

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

  1. Probing primordial non-Gaussianity via iSW measurements with SKA continuum surveys

    SciTech Connect

    Raccanelli, Alvise; Dor, Olivier E-mail: olivier.dore@caltech.edu; Bacon, David J.; Maartens, Roy E-mail: roy.maartens@gmail.com; and others

    2015-01-01

    The Planck CMB experiment has delivered the best constraints so far on primordial non-Gaussianity, ruling out early-Universe models of inflation that generate large non-Gaussianity. Although small improvements in the CMB constraints are expected, the next frontier of precision will come from future large-scale surveys of the galaxy distribution. The advantage of such surveys is that they can measure many more modes than the CMBin particular, forthcoming radio surveys with the Square Kilometre Array will cover huge volumes. Radio continuum surveys deliver the largest volumes, but with the disadvantage of no redshift information. In order to mitigate this, we use two additional observables. First, the integrated Sachs-Wolfe effectthe cross-correlation of the radio number counts with the CMB temperature anisotropieshelps to reduce systematics on the large scales that are sensitive to non-Gaussianity. Second, optical data allows for cross-identification in order to gain some redshift information. We show that, while the single redshift bin case can provide a ?(f{sub NL})?20, and is therefore not competitive with current and future constraints on non-Gaussianity, a tomographic analysis could improve the constraints by an order of magnitude, even with only two redshift bins. A huge improvement is provided by the addition of high-redshift sources, so having cross-ID for high-z galaxies and an even higher-z radio tail is key to enabling very precise measurements of f{sub NL}. We use Fisher matrix forecasts to predict the constraining power in the case of no redshift information and the case where cross-ID allows a tomographic analysis, and we show that the constraints do not improve much with 3 or more bins. Our results show that SKA continuum surveys could provide constraints competitive with CMB and forthcoming optical surveys, potentially allowing a measurement of ?(f{sub NL})?1 to be made. Moreover, these measurements would act as a useful check of results

  2. 2014 ALCF User Survey Results

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Science and Technical Support This section of the survey addresses the effectiveness of ALCF support at problem resolution, including emails sent to support@alcf.anl.gov, phone ...

  3. Reflection Survey | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    (Gritto, Et Al.) Rye Patch Area Integrated Seismic Studies At The Rye Patch Geothermal Reservoir, Nevada Reflection Survey At Rye Patch Area (Laney, 2005) Rye Patch Area Federal...

  4. IRT Surveys | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    consulting in building thermographers and thermal imaging allowing to detect energy loss and increase of energy efficiency. References: IRT Surveys1 This article is a stub....

  5. Federal Buildings Supplemental Survey -- Overview

    Energy Information Administration (EIA) (indexed site)

    Buildings The Federal Buildings Supplemental Survey 1993 provides building-level energy-related characteristics for a special sample of commercial buildings owned by the...

  6. PRELIMINARY SURVEY OF VITRO CORPORATION

    Office of Legacy Management (LM)

    status of those facilities utilized under Atomic Energy Commission (AEC) contract during ... A survey of the site was conducted, consisting of gamma-ray exposure rate measurements ...

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

    SciTech Connect

    Slagstad, Helene; Brattebo, Helge

    2012-07-15

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

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

    SciTech Connect

    Slagstad, Helene; Brattebo, Helge

    2013-01-15

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

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

    SciTech Connect

    Lebersorger, S.; Beigl, P.

    2011-09-15

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

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

    SciTech Connect

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

    2014-10-14

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

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

    SciTech Connect

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

    2012-07-19

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

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

    SciTech Connect

    Jacobsen, R.; Buysse, J.; Gellynck, X.

    2013-01-15

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

  13. Householder's Perceptions of Insulation Adequacy and Drafts in the Home in 2001

    Reports and Publications

    2004-01-01

    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.

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

    SciTech Connect

    Bernstad, A.; Cour Jansen, J. la

    2011-08-15

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

  15. In situ X-ray data collection and structure phasing of protein crystals at Structural Biology Center 19-ID

    SciTech Connect

    Michalska, Karolina; Tan, Kemin; Chang, Changsoo; Li, Hui; Hatzos-Skintges, Catherine; Molitsky, Michael; Alkire, Randy; Joachimiak, Andrzej

    2015-10-15

    A prototype of a 96-well plate scanner forin situdata collection has been developed at the Structural Biology Center (SBC) beamline 19-ID, located at the Advanced Photon Source, USA. The applicability of this instrument for protein crystal diffraction screening and data collection at ambient temperature has been demonstrated. Several different protein crystals, including selenium-labeled, were used for data collection and successful SAD phasing. Without the common procedure of crystal handling and subsequent cryo-cooling for data collection atT= 100 K, crystals in a crystallization buffer show remarkably low mosaicity (<0.1°) until deterioration by radiation damage occurs. Data presented here show that cryo-cooling can cause some unexpected structural changes. Based on the results of this study, the integration of the plate scanner into the 19-ID end-station with automated controls is being prepared. With improvement of hardware and software,in situdata collection will become available for the SBC user program including remote access.

  16. DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption

    Annual Energy Outlook

    purchase diaries from a subset of respondents comprising a Household Transportation Panel and is reported separately. * Wood used for heating. Although wood consumption data...

  17. Residential energy consumption across different population groups: Comparative analysis for Latino and non-Latino households in U.S.A.

    SciTech Connect

    Poyer, D.A.; Teotia, A.P.S.; Henderson, L.

    1998-05-01

    Residential energy cost, an important part of the household budget, varies significantly across different population groups. In the United States, researchers have conducted many studies of household fuel consumption by fuel type -- electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG) -- and by geographic areas. The results of past research have also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, research shows that residential energy demand by fuel type for Latinos, the fastest-growing population group in the United States, has not been explained by economic and noneconomic factors in any available statistical model. This paper presents a discussion of energy demand and expenditure patterns for Latino and non-Latino households in the United States. The statistical model developed to explain fuel consumption and expenditures for Latino households is based on Stone and Geary`s linear expenditure system model. For comparison, the authors also developed models for energy consumption in non-Latino, black, and nonblack households. These models estimate consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. The study revealed significant variations in the patterns of fuel consumption for Latinos and non-Latinos. The model methodology and results of this research should be useful to energy policymakers in government and industry, researchers, and academicians who are concerned with economic and energy issues related to various population groups.

  18. Geophex Airborne Unmanned Survey System

    SciTech Connect

    Won, I.J.; Keiswetter, D.

    1995-10-01

    The purpose of this effort is to design, construct, and evaluate a portable, remotely-piloted, airborne, geophysical survey system. This non-intrusive system will provide {open_quotes}stand-off{close_quotes} capability to conduct surveys and detect buried objects, structures, and conditions of interest at hazardous locations. This system permits rapid geophysical characterization of hazardous environmental sites. During a survey, the operators remain remote from, but within visual distance of, the site. The sensor system never contacts the Earth, but can be positioned near the ground so that weak geophysical anomalies can be detected.

  19. Around 200 new X-ray binary IDs from 13 YR of Chandra observations of the M31 center

    SciTech Connect

    Barnard, R.; Garcia, M. R.; Primini, F.; Li, Z.; Baganoff, F. K.; Murray, S. S.

    2014-01-01

    We have created 0.3-10 keV, 13 yr, unabsorbed luminosity lightcurves for 528 X-ray sources in the central 20' of M31. We have 174 Chandra observations spaced at ?1 month intervals due to our transient monitoring program, deeper observations of the M31 nucleus, and some public data from other surveys. We created 0.5-4.5 keV structure functions (SFs) for each source for comparison with the ensemble SF of active galactic nuclei (AGN). We find 220 X-ray sources with luminosities ?10{sup 35} erg s{sup 1} that have SFs with significantly more variability than the ensemble AGN SF, and which are likely X-ray binaries (XBs). A further 30 X-ray sources were identified as XBs using other methods. We therefore have 250 probable XBs in total, including ?200 new identifications. This result represents great progress over the ?50 XBs and ?40 XB candidates previously identified out of the ?2000 X-ray sources within the D {sub 25} region of M31; it also demonstrates the power of SF analysis for identifying XBs in external galaxies. We also identify a new transient black hole candidate, associated with the M31 globular cluster B128.

  20. 2005 Residential Energy Consumption Survey

    Energy Information Administration (EIA) (indexed site)

    Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under ...