National Library of Energy BETA

Sample records for format file household

  1. Portable File Format (PFF) specifications.

    SciTech Connect (OSTI)

    Dolan, Daniel H.,

    2015-02-01

    Created at Sandia National Laboratories, the Portable File Format (PFF) allows binary data transfer across computer platforms. Although this capability is supported by many other formats, PFF files are still in use at Sandia, particularly in pulsed power research. This report provides detailed PFF specifications for accessing data without relying on legacy code.

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

    U.S. 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....

  3. Household Vehicles Energy Consumption 1991

    U.S. 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...

  4. Interoperability format translation and transformation between IFC architectural design file and simulation file formats

    DOE Patents [OSTI]

    Chao, Tian-Jy; Kim, Younghun

    2015-01-06

    Automatically translating a building architecture file format (Industry Foundation Class) to a simulation file, in one aspect, may extract data and metadata used by a target simulation tool from a building architecture file. Interoperability data objects may be created and the extracted data is stored in the interoperability data objects. A model translation procedure may be prepared to identify a mapping from a Model View Definition to a translation and transformation function. The extracted data may be transformed using the data stored in the interoperability data objects, an input Model View Definition template, and the translation and transformation function to convert the extracted data to correct geometric values needed for a target simulation file format used by the target simulation tool. The simulation file in the target simulation file format may be generated.

  5. Interoperability format translation and transformation between IFC architectural design file and simulation file formats

    DOE Patents [OSTI]

    Chao, Tian-Jy; Kim, Younghun

    2015-02-03

    Automatically translating a building architecture file format (Industry Foundation Class) to a simulation file, in one aspect, may extract data and metadata used by a target simulation tool from a building architecture file. Interoperability data objects may be created and the extracted data is stored in the interoperability data objects. A model translation procedure may be prepared to identify a mapping from a Model View Definition to a translation and transformation function. The extracted data may be transformed using the data stored in the interoperability data objects, an input Model View Definition template, and the translation and transformation function to convert the extracted data to correct geometric values needed for a target simulation file format used by the target simulation tool. The simulation file in the target simulation file format may be generated.

  6. 1987 RECS Public Use Microdata Files

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

    cvs file File 3: Type of Energy and Equipment text file cvs file File 4: Household Demographics text file cvs file File 5: Presence of Appliances text file cvs file File 6: Energy...

  7. Native File Formats and PDFs on Websites Outside of the Energy.gov Drupal

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

    Environment | Department of Energy Quality Assurance Checklists » Native File Formats and PDFs on Websites Outside of the Energy.gov Drupal Environment Native File Formats and PDFs on Websites Outside of the Energy.gov Drupal Environment Websites and applications outside the Energy.gov Drupal environment should follow these requirements when linking to non-HTML resources or native files like PDFs or Word, Excel, and PowerPoint files. When linking to native files, remember that links to

  8. An Efficient Format for Nearly Constant-Time Access to Arbitrary Time Intervals in Large Trace Files

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Chan, Anthony; Gropp, William; Lusk, Ewing

    2008-01-01

    A powerful method to aid in understanding the performance of parallel applications uses log or trace files containing time-stamped events and states (pairs of events). These trace files can be very large, often hundreds or even thousands of megabytes. Because of the cost of accessing and displaying such files, other methods are often used that reduce the size of the tracefiles at the cost of sacrificing detail or other information. This paper describes a hierarchical trace file format that provides for display of an arbitrary time window in a time independent of the total size of the file andmore » roughly proportional to the number of events within the time window. This format eliminates the need to sacrifice data to achieve a smaller trace file size (since storage is inexpensive, it is necessary only to make efficient use of bandwidth to that storage). The format can be used to organize a trace file or to create a separate file of annotations that may be used with conventional trace files. We present an analysis of the time to access all of the events relevant to an interval of time and we describe experiments demonstrating the performance of this file format.« less

  9. RPF: An Extensible, Cross-Platform, Binary File Format for Radiation Physics Data

    SciTech Connect (OSTI)

    Ham, C L

    2002-09-10

    Lawrence Livermore National Laboratory's Radiation Technology Group (RTG) uses a number of computer codes for simulation and analysis of radiation data. The number of incompatible data formats that these data presented themselves in have continued to multiply. In the 1980's a Common Data Format (CDF, see Appendix A) was devised for internal use by the RTG. This format represented a single gamma-ray spectrum as ASCII energy/count pairs preceded by an ASCII header. The ASCII representation of the data assured that it was compatible on any computing platform and this format is still in use. In the mid 1990's it became apparent that instrument systems of greater complexity would demand a file format of larger capacity to support systems then on the drawing board, including networks of sensors collecting time series of gamma-ray spectra. These systems were in the planning stage and defined data structures were not available. It became apparent that a new storage format for nuclear measurements data would be needed and it would have to be flexible and extensible to accommodate the requirements of systems of the future. As part of an LDRD, we began to investigate what others were doing, especially in the high-energy physics community, to deal with the large volumes of data being generated. Of particular interest was the very general Hierarchical Data Format (HDF), developed and maintained by the National Center for Supercomputing Applications (NCSA), that we ultimately used to develop the Radiation Physics Format (RPF). The HDF subroutine library provides users with the ability to customize a data file format based on standard calls to the HDF subroutine library. The RPF was developed and deployed on Sun and Hewlett-Packard workstations running their proprietary versions of UNIX.

  10. Some notes on the calculation of energy-angle correlated distributions with TNG and their representation in File 6 formats

    SciTech Connect (OSTI)

    Larson, D.C.; Fu, C.Y.; Hetrick, D.M.

    1987-01-01

    The model code TNG has been extensively used in evaluation work of structural materials for ENDF/B-VI performed at Oak Ridge National Laboratory. A new aspect of ENDF/B-VI is the use of File 6 formats for energy-angle correlated data. Such data are generally calculated, anchored by experimental data. In this informal note we outline how the TNG results are calculated and entered in the File 6 formats. 4 refs.

  11. FILE

    Office of Legacy Management (LM)

    c&o--L>+/ co.o-09 ~~Epq-J+~~jDU" 1 . [o( / 5-/-- 1, "I ' -i, [ . - -. j s: FILE :3r.jNER is} -------.- pas',: Current: -----__---_---__-------- ----____-_________________ Cwner ccntacted 0 yes 0 nag i+ yet,? date czntacted ----___--I__- Ty-;Pfz ,' F iTiC~CC2~j 1 iljbj AA-r-ti--=' ="L---- /8;' ; z.eseaf-ch & sevei apment EJ F' raducticx scale tssting rJ Pilot si-jle 0 ' jench Scale Fracess 0 Theoretical Studies 0 Samp:! e & haivsis 0 Fz-citity Tvpe 0 Manui artur i ng

  12. Native File Formats and PDFs on Websites Outside of the Energy...

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

    Websites and applications outside the Energy.gov Drupal environment should follow these requirements when linking to non-HTML resources or native files like PDFs or Word, Excel, ...

  13. Household magnets

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

  14. ENDF-6 Formats Manual Data Formats and Procedures for the Evaluated Nuclear Data File ENDF/B-VI and ENDF/B-VII

    SciTech Connect (OSTI)

    Herman, M.; Members of the Cross Sections Evaluation Working Group

    2009-06-01

    In December 2006, the Cross Section Evaluation Working Group (CSEWG) of the United States released the new ENDF/B-VII.0 library. This represented considerable achievement as it was the 1st major release since 1990 when ENDF/B-VI has been made publicly available. The two libraries have been released in the same format, ENDF-6, which has been originally developed for the ENDF/B-VI library. In the early stage of work on the VII-th generation of the library CSEWG made important decision to use the same formats. This decision was adopted even though it was argued that it would be timely to modernize the formats and several interesting ideas were proposed. After careful deliberation CSEWG concluded that actual implementation would require considerable resources needed to modify processing codes and to guarantee high quality of the files processed by these codes. In view of this the idea of format modernization has been postponed and ENDF-6 format was adopted for the new ENDF/B-VII library. In several other areas related to ENDF we made our best to move beyond established tradition and achieve maximum modernization. Thus, the 'Big Paper' on ENDF/B-VII.0 has been published, also in December 2006, as the Special Issue of Nuclear Data Sheets 107 (1996) 2931-3060. The new web retrieval and plotting system for ENDF-6 formatted data, Sigma, was developed by the NNDC and released in 2007. Extensive paper has been published on the advanced tool for nuclear reaction data evaluation, EMPIRE, in 2007. This effort was complemented with release of updated set of ENDF checking codes in 2009. As the final item on this list, major revision of ENDF-6 Formats Manual was made. This work started in 2006 and came to fruition in 2009 as documented in the present report.

  15. Standard interface file handbook

    SciTech Connect (OSTI)

    Shapiro, A.; Huria, H.C. )

    1992-10-01

    This handbook documents many of the standard interface file formats that have been adopted by the US Department of Energy to facilitate communications between and portability of, various large reactor physics and radiation transport software packages. The emphasis is on those files needed for use of the VENTURE/PC diffusion-depletion code system. File structures, contents and some practical advice on use of the various files are provided.

  16. Original Signatures on File

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

    Signatures on File

  17. Original Signatures on File

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

    Original Signatures on File

  18. File Storage

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

    File Storage File Storage Disk Quota Change Request Form Carver File Systems Carver has 3 kinds of file systems available to users: home directories, scratch directories and project directories, all provided by the NERSC Global File system. Each file system serves a different purpose. File System Home Scratch Project Environment Variable Definition $HOME $SCRATCH or $GSCRATCH No environment variable /project/projectdirs/ Description Global homes file system shared by all NERSC systems except

  19. File storage

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

    File storage File storage Disk Quota Change Request Form Euclid File Systems Euclid has 3 kinds of file systems available to users: home directories, scratch directories and project directories, all provided by the NERSC Global File system. Each file system serves a different purpose. File System Home Scratch Project Environment Variable Definition $HOME $SCRATCH or $GSCRATCH No environment variable /project/projectdirs/ Description Global homes file system shared by all NERSC systems except

  20. appl_household2001.pdf

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

    Appliances Tables (Million U.S. Households; 60 pages, 240 kb) Contents Pages HC5-1a. Appliances by Climate Zone, Million U.S. Households, 2001 5 HC5-2a. Appliances by Year of Construction, Million U.S. Households, 2001 5 HC5-3a. Appliances by Household Income, Million U.S. Households, 2001 5 HC5-4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 5 HC5-5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC5-6a. Appliances by Type of Rented

  1. housingunit_household2001.pdf

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    ... 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 ...

  2. appl_household2001.pdf

    U.S. 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 ...

  3. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

  4. spaceheat_household2001.pdf

    U.S. 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 ...

  5. File Systems

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

    File Systems File Systems For a general description of the different file systems available on PDSF please see Eliza File Systems and Other File Systems. Below is a summary of how ATLAS uses the various systems: /common In the past ATLAS used /common primarily for their software installations but with cvmfs (see below) this is no longer necessary. ATLAS users also have made personal directories under /common/atlas. However, this is not the intended use of /common, as described on Other File

  6. Signature on File

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

    Signature on File Signature on File 5/29/08

  7. Household Vehicles Energy Consumption 1991

    U.S. 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...

  8. Household energy consumption and expenditures 1987

    SciTech Connect (OSTI)

    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.

  9. File Systems

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

    File Systems File Systems For a general description of the different file systems available on PDSF please see Eliza File Systems and Other File Systems. Below is a summary of how ALICE uses the various systems: /common ALICE uses /common to build the software that supports its grid-based automated production work. This software includes AliRoot, Geant, AliEn, and XRootD. /eliza6, /eliza8, /eliza17 ALICE has space on 3 elizas: 16TB on /eliza6, 6TB on /eliza8 and 11TB on /eliza17. The space on

  10. File Systems

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

    File Systems File Systems For a general description of the different file systems available on PDSF please see Eliza File Systems and Other File Systems. Below is a summary of how STAR uses the various systems: /common The STAR software is installed on /common. For 32sl44 it is under /common/star/star44 and for sl53 it is under /common/star/star53. In both cases the software consists primarily of a STAR-specific ROOT installation on which releases of the STAR libraries are built as shown on the

  11. Household vehicles energy consumption 1994

    SciTech Connect (OSTI)

    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.

  12. 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 ...

  13. Household Vehicles Energy Use Cover Page

    U.S. 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 *...

  14. 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 ...

  15. ac_household2001.pdf

    U.S. 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

  16. ac_household2001.pdf

    U.S. 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

  17. ac_household2001.pdf

    U.S. 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

  18. ac_household2001.pdf

    U.S. 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

  19. ac_household2001.pdf

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

    8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 36.8 13.6 18.9 13.6 4.3 Air Conditioners Not Used ........................... 2.1 1.2 0.2 0.4 0.3 21.4 Households Using Electric Air-Conditioning 2 ........................................ 80.8 35.6 13.4

  20. ac_household2001.pdf

    U.S. 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

  1. FileSys.pptx

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

    Navigating NERSC File Systems May 3, 2011 David Turner NERSC User Services Group * Focus on user-writable file systems * Global file systems * Local file systems * Policies * ...

  2. Household Vehicles Energy Consumption 1991

    U.S. 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) . . . . . . . . ....

  3. homeoffice_household2001.pdf

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

    ... 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 ...

  4. char_household2001.pdf

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

    RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral ... Income Relative to Poverty Line Below 100 Percent ...... 15.0 13.2 1.8 Q ...

  5. char_household2001.pdf

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Contact: Stephanie J. Battles, Survey Manager (stephanie.battles@eia.doe.gov) World Wide Web: http:www.eia.doe.govemeuconsumption Table HC2-1a. Household Characteristics by ...

  6. To: File

    Office of Legacy Management (LM)

    In 1931 and 19Siz the Atomic Energy Commission He; and Safety Division participated in ... Information obtained from EPFI files indicates that the facilit continued operations ...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  8. ac_household2001.pdf

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

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

  9. ac_household2001.pdf

    U.S. 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

  10. ac_household2001.pdf

    U.S. 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

  11. homeoffice_household2001.pdf

    U.S. 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

  12. homeoffice_household2001.pdf

    U.S. 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

  13. homeoffice_household2001.pdf

    U.S. 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

  14. homeoffice_household2001.pdf

    U.S. 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

  15. TO: FILE

    Office of Legacy Management (LM)

    Homer Watson, Wright Paterson Air Force Base, as a starting point. AWmb ' I. .' ..x; . .:yx . . . . : File a.%-I. (d : AIR FORCE PLANT.36. EvENGALE, OilIO 'w .*:3 '. - ...

  16. File storage

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

    This file system is not configured for high IO performance. Home directories should ... Furthermore, SSH will not allow you to login if HOME.ssh is writeable by anyone other ...

  17. TO: FILE

    Office of Legacy Management (LM)

    ... C . Young ,.+-' E. Mitchal file FUS,RAP WI.4,, PA.40 L.-J Iany in :ee, anda Area ' radioactive *hap 6 as a d2 EC stop for 100 employee, and )mme :nd both these Ind Milwaukee

  18. homeoffice_household2001.pdf

    U.S. 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

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

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

    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 ...

  20. ac_household2001.pdf

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

    2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditioning Equipment ...................... 82.9 4.9 6.0 7.4 6.2 2.4 Air Conditioners Not Used ........................... 2.1 0.1 0.8 Q 0.1 23.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 4.7 5.2 7.4 6.1 2.6 Type of Electric Air-Conditioning Used Central

  1. homeoffice_household2001.pdf

    U.S. 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

  2. appl_household2001.pdf

    U.S. 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

  3. WEATHERIZATION ANNUAL FILE WORKSHEET | Department of Energy

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

    WEATHERIZATION ANNUAL FILE WORKSHEET WEATHERIZATION ANNUAL FILE WORKSHEET Form is designed to gather specific detail related to the expenditures of the Weatherization grant. WEATHERIZATION ANNUAL FILE WORKSHEET (134.96 KB) More Documents & Publications DOE F 540.3 WPN 06-3: Revised Weatherization Assistance Program Application Instructions and Forms WPN 04-4: Revised Weatherization Assistance Program Application Package and Reporting Format

  4. Sparse Image Format

    Energy Science and Technology Software Center (OSTI)

    2007-04-12

    The Sparse Image Format (SIF) is a file format for storing spare raster images. It works by breaking an image down into tiles. Space is savid by only storing non-uniform tiles, i.e. tiles with at least two different pixel values. If a tile is completely uniform, its common pixel value is stored instead of the complete tile raster. The software is a library in the C language used for manipulating files in SIF format. Itmore » supports large files (> 2GB) and is designed to build in Windows and Linux environments.« less

  5. appl_household2001.pdf

    U.S. 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

  6. appl_household2001.pdf

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

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

  7. appl_household2001.pdf

    U.S. 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

  8. appl_household2001.pdf

    U.S. 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 ...........................................

  9. appl_household2001.pdf

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

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit 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

  10. appl_household2001.pdf

    U.S. 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

  11. appl_household2001.pdf

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

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

  12. homeoffice_household2001.pdf

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

    2001 Home Office Equipment RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Households Using Office Equipment ......................................... 96.2 6.2 11.4 6.7 5.9 1.7 Personal Computers 1 ................................. 60.0 3.4 7.9 4.1 3.8 4.4 Number of Desktop PCs 1

  13. spaceheat_household2001.pdf

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

    0a. Space Heating by Midwest Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Heat Home .................................................... 106.0 24.5 17.1 7.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.8 No

  14. spaceheat_household2001.pdf

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

    1a. Space Heating by South Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.3 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Heat Home .................................................... 106.0 38.8 20.2 6.8 11.8 NE Do Not Heat Home

  15. spaceheat_household2001.pdf

    U.S. 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

  16. spaceheat_household2001.pdf

    U.S. 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

  17. spaceheat_household2001.pdf

    U.S. 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

  18. spaceheat_household2001.pdf

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

    8a. Space Heating by Urban/Rural Location, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.6 0.9 1.3 1.3 1.2 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.3 Heat Home .................................................... 106.0 49.1 18.0 21.2 17.8 4.3 Do Not Heat Home ....................................... 1.0 0.7 0.1 0.1 0.1 25.8 No Heating

  19. spaceheat_household2001.pdf

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

    9a. Space Heating by Northeast Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 20.3 14.8 5.4 NE Heat Home .................................................... 106.0 20.1 14.7 5.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.9 No

  20. Instructions to CBECS 1992 Microdata Files

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

    and dBASE (CE92F01D.DBF) formats. These files contain the 1992 CBECS basic data including building characteristics, energy consumption and expenditures, and temperature data. The...

  1. ARM - Reading netCDF, HDF, and GRIB Files

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

    govDataReading netCDF, HDF, and GRIB Files Reading netCDF, HDF, and GRIB Files netCDF Files Most ARM data are stored in netCDF format. This format allows for the definition of data fields and storage of operational information in the header of the file. All ARM netCDF files are in UTC time and represent time as "seconds since January 1, 1970,'' which is called the "epoch time.'' For example, an epoch time of 1 means "Thu Jan 1 00:00:01 1970''; an epoch time of 992794875 is

  2. Household energy consumption and expenditures, 1990

    SciTech Connect (OSTI)

    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.

  3. CEKRM. FILES

    Office of Legacy Management (LM)

    *:-I c-Y,- -.>A - L z.23 ' ,gQ+ CEKRM. FILES : -- i" ry .' ;,:;;:i ;- ' _ :;, I' -. .-,- p.." * .i' ' --yr:,? ,5 .Y' :?!, .I I >L L qgy~T.5 ,-:,,. \>,' yt r, .,-:,7 ,A : _ . . T_ 31' :;:: . .' : z ^., - -; &.' -" ' \-,-y . ..L' .:"A .:1i2*;,1 1- .,: _.,-.- 1 ,... _ . , , 2; J..i"!w , . . . .' _ \ ' d>; : r. . _ " ' . ;I 2: a : ..i. ,. 7, I . :ri cij?TL-i; 12, ;;,2;-,: ;. ." * 1. 1 .:1 : :: .' I .-=-. I. Iv-.. . . . . - i. ; i -2. ./ ..l,..- '

  4. appl_household2001.pdf

    U.S. 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

  5. appl_household2001.pdf

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

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

  6. spaceheat_household2001.pdf

    U.S. 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 ........................

  7. spaceheat_household2001.pdf

    U.S. 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

  8. NERSC File Systems

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

    sharing between platforms. File systems are configured for different purposes. On each machine you have access to at least three different file system Home: Permanent, relatively...

  9. SW New Mexico Oil Well Formation Tops

    SciTech Connect (OSTI)

    Shari Kelley

    2015-10-21

    Rock formation top picks from oil wells from southwestern New Mexico from scout cards and other sources. There are differing formation tops interpretations for some wells, so for those wells duplicate formation top data are presented in this file.

  10. 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

  11. ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS

    SciTech Connect (OSTI)

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

    2009-04-15

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

  12. 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 ...

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

    U.S. 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. 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 ...

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

    Open Energy Info (EERE)

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

  16. NX Configuration File

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

    Configuration File NX Configuration File This is the NX configuration file that you will need to connect to NERSC NX Server: NX5Confgure.nxs.zip To use this file, please follow the Online Tutorial. Last edited: 2016-04-29 11:34:57

  17. Microsoft Word - Household Energy Use CA

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

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

  18. Microsoft Word - Household Energy Use CA

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Household energy consumption and expenditures 1993

    SciTech Connect (OSTI)

    1995-10-05

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

  20. I/O Formats

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

    Formats I/O Formats Software I/O continues to be one of the main bottlenecks for scientific applications. Here are two software packages that many application developers use to manage input/output of heterogeneous types of binary application data used on many different platforms. HDF5 and NETCDF are both implemented on top of MPI-IO and have gained popularity as alternatives to basic POSIX API. HDF5 is a machine-independent and self-documenting file format. Each HDF5 file "looks" like

  1. Navigating NERSC File Systems

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

    Navigating NERSC File Systems May 3, 2011 David-Turner.jpg NERSC Training Event 10:00 - ... Navigating NERSC File Systems David Turner, NERSC User Services Group NERSC hosts a number ...

  2. Fast Global File Status

    Energy Science and Technology Software Center (OSTI)

    2013-01-01

    Fast Global File Status (FGFS) is a system software package that implimints a scalable mechanism to retrieve file information, such as its degree of distribution or replication and consistency.

  3. Guidelines for Filing Monthly Reports | Department of Energy

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

    Guidelines for Filing Monthly Reports Guidelines for Filing Monthly Reports Reporting Requirements Importers and exporters of natural gas must file monthly reports on their activities, as required in DOE/FE Order No. 2464, dated February 1, 2008. Reports are required to contain certain information, but there is no requirement regarding the format for the monthly submissions. The collection of this information is approved by OMB No. 1901-0294, which has an expiration date of July 31, 2016. For

  4. Reads and Plots PCM Data Files

    Energy Science and Technology Software Center (OSTI)

    1999-08-23

    WINPLOT21 reads and plots PCM (Pulse code modulated) data files. The data files must contain the PCM data formatted per IRIG 106 Telemetry standards. The contents of the data files are interpreted using information found in ancillary calibration file that can be created using a Calibration Wizard feature of this program. PCM data is read in and scaled to engineering units. First and second order equations are applied to the engineering units. The user hasmore » the option of plotting the raw PCM counts, engineering units, integrated engineering units, or second order integration of the engineering units. A Butterworth filter can be applied to the engineering units if the source of the data is not a PCM subcommed channel. Scroll bars allow for zooming in along both the x and y axis.« less

  5. Eliza File Systems

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

    Eliza File Systems Eliza File Systems Storage at PDSF is organized by group and available to all the nodes in PDSF. Please note that files on these file systems are not backed up. It is the responsibility of users to back up their files themselves as necessary. Over the years at PDSF there have been incidents which resulted in a loss of data from disk, often related to aging hardware. You can display the UGE io units with the command "qconf -se global". Disk Vault Experiments SGE io

  6. Sandia Data Archive (SDA) file specifications.

    SciTech Connect (OSTI)

    Dolan, Daniel H.,; Ao, Tommy

    2015-02-01

    The Sandia Data Archive (SDA) format is a specific implementation of the HDF5 (Hierarchal Data Format version 5) standard. The format was developed for storing data in a universally accessible manner. SDA files may contain one or more data records, each associated with a distinct text label. Primitive records provide basic data storage, while compound records support more elaborate grouping. External records allow text/binary files to be carried inside an archive and later recovered. This report documents version 1.0 of the SDA standard. The information provided here is sufficient for reading from and writing to an archive. Although the format was original designed for use in MATLAB, broader use is encouraged.

  7. File:Bureauofreclamationfactsheet.pdf | Open Energy Information

    Open Energy Info (EERE)

    Bureauofreclamationfactsheet.pdf Jump to: navigation, search File File history File usage Metadata File:Bureauofreclamationfactsheet.pdf Size of this preview: 463 599 pixels....

  8. File:20121127144703735.pdf | Open Energy Information

    Open Energy Info (EERE)

    20121127144703735.pdf Jump to: navigation, search File File history File usage File:20121127144703735.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600...

  9. File:Windyclassroom.pdf | Open Energy Information

    Open Energy Info (EERE)

    Windyclassroom.pdf Jump to: navigation, search File File history File usage Metadata File:Windyclassroom.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600...

  10. File:Npsfactsheet.pdf | Open Energy Information

    Open Energy Info (EERE)

    Npsfactsheet.pdf Jump to: navigation, search File File history File usage Metadata File:Npsfactsheet.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600...

  11. File:Oregonshpodocumentationstandards.pdf | Open Energy Information

    Open Energy Info (EERE)

    Oregonshpodocumentationstandards.pdf Jump to: navigation, search File File history File usage File:Oregonshpodocumentationstandards.pdf Size of this preview: 463 599 pixels....

  12. File:Noaafactsheet.pdf | Open Energy Information

    Open Energy Info (EERE)

    Noaafactsheet.pdf Jump to: navigation, search File File history File usage Metadata File:Noaafactsheet.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600...

  13. File:Drillinghandbook.pdf | Open Energy Information

    Open Energy Info (EERE)

    Drillinghandbook.pdf Jump to: navigation, search File File history File usage File:Drillinghandbook.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600...

  14. File:Energydatabusfacthseet.pdf | Open Energy Information

    Open Energy Info (EERE)

    Energydatabusfacthseet.pdf Jump to: navigation, search File File history File usage Metadata File:Energydatabusfacthseet.pdf Size of this preview: 463 599 pixels. Other...

  15. File:Bonnevillepowerfactsheet.pdf | Open Energy Information

    Open Energy Info (EERE)

    Bonnevillepowerfactsheet.pdf Jump to: navigation, search File File history File usage Metadata File:Bonnevillepowerfactsheet.pdf Size of this preview: 463 599 pixels. Other...

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

    Gasoline and Diesel Fuel Update (EIA)

    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

  17. Methods and apparatus for capture and storage of semantic information with sub-files in a parallel computing system

    DOE Patents [OSTI]

    Faibish, Sorin; Bent, John M; Tzelnic, Percy; Grider, Gary; Torres, Aaron

    2015-02-03

    Techniques are provided for storing files in a parallel computing system using sub-files with semantically meaningful boundaries. A method is provided for storing at least one file generated by a distributed application in a parallel computing system. The file comprises one or more of a complete file and a plurality of sub-files. The method comprises the steps of obtaining a user specification of semantic information related to the file; providing the semantic information as a data structure description to a data formatting library write function; and storing the semantic information related to the file with one or more of the sub-files in one or more storage nodes of the parallel computing system. The semantic information provides a description of data in the file. The sub-files can be replicated based on semantically meaningful boundaries.

  18. Original Signature on File

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

    Original Signature on File Page8 of 8 M. EMERGENCY PROCEDURES 1. The owneroperator must maintain an adequately trained onsite RCRA emergency coordinator to direct emergency...

  19. Other File Systems

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

    User Home Directories Your home directory is located at homelogin-name. Home directories ... Home directories are backed up as insurance against catastrophic file system failure. ...

  20. EIA-411 Data File

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Form EIA-411 Database Form EIA-411 - Coordinated Bulk Power Supply Program Report Data ... except No. 7 (Transmission Outages) which will continue to be a voluntary filing. ...

  1. T:\ClearanceEMEUConsumption\cbecs\pubuse89\txt\layouts&formats.txt

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

    9/txt/layouts&formats.txt[3/19/2009 11:26:00 AM] December, 2008 1989 CBECS Building Characteristics and Consumption and Expenditures for All Buildings Public Use Files This document contains all the file layouts and format codes for the 1989 Commercial Buildings Energy Consumption Survey (CBECS) building characteristics and consumption and expenditures public use files. The files themselves can be downloaded in CSV (comma separated values) files from the CBECS web site:

  2. Adding Data Management Services to Parallel File Systems

    SciTech Connect (OSTI)

    Brandt, Scott

    2015-03-04

    The objective of this project, called DAMASC for “Data Management in Scientific Computing”, is to coalesce data management with parallel file system management to present a declarative interface to scientists for managing, querying, and analyzing extremely large data sets efficiently and predictably. Managing extremely large data sets is a key challenge of exascale computing. The overhead, energy, and cost of moving massive volumes of data demand designs where computation is close to storage. In current architectures, compute/analysis clusters access data in a physically separate parallel file system and largely leave it scientist to reduce data movement. Over the past decades the high-end computing community has adopted middleware with multiple layers of abstractions and specialized file formats such as NetCDF-4 and HDF5. These abstractions provide a limited set of high-level data processing functions, but have inherent functionality and performance limitations: middleware that provides access to the highly structured contents of scientific data files stored in the (unstructured) file systems can only optimize to the extent that file system interfaces permit; the highly structured formats of these files often impedes native file system performance optimizations. We are developing Damasc, an enhanced high-performance file system with native rich data management services. Damasc will enable efficient queries and updates over files stored in their native byte-stream format while retaining the inherent performance of file system data storage via declarative queries and updates over views of underlying files. Damasc has four key benefits for the development of data-intensive scientific code: (1) applications can use important data-management services, such as declarative queries, views, and provenance tracking, that are currently available only within database systems; (2) the use of these services becomes easier, as they are provided within a familiar file

  3. Household Energy Consumption Segmentation Using Hourly Data

    SciTech Connect (OSTI)

    Kwac, J; Flora, J; Rajagopal, R

    2014-01-01

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

  4. Household energy consumption and expenditures, 1987

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  6. Register file soft error recovery

    DOE Patents [OSTI]

    Fleischer, Bruce M.; Fox, Thomas W.; Wait, Charles D.; Muff, Adam J.; Watson, III, Alfred T.

    2013-10-15

    Register file soft error recovery including a system that includes a first register file and a second register file that mirrors the first register file. The system also includes an arithmetic pipeline for receiving data read from the first register file, and error detection circuitry to detect whether the data read from the first register file includes corrupted data. The system further includes error recovery circuitry to insert an error recovery instruction into the arithmetic pipeline in response to detecting the corrupted data. The inserted error recovery instruction replaces the corrupted data in the first register file with a copy of the data from the second register file.

  7. File:DIAsample.pdf | Open Energy Information

    Open Energy Info (EERE)

    DIAsample.pdf Jump to: navigation, search File File history File usage File:DIAsample.pdf Size of this preview: 776 600 pixels. Full resolution (1,650 1,275 pixels, file...

  8. Construction of file database management

    SciTech Connect (OSTI)

    MERRILL,KYLE J.

    2000-03-01

    This work created a database for tracking data analysis files from multiple lab techniques and equipment stored on a central file server. Experimental details appropriate for each file type are pulled from the file header and stored in a searchable database. The database also stores specific location and self-directory structure for each data file. Queries can be run on the database according to file type, sample type or other experimental parameters. The database was constructed in Microsoft Access and Visual Basic was used for extraction of information from the file header.

  9. Filing Information | Department of Energy

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

    Filing Information Filing Information The Office of Hearings and Appeals (OHA) encourages electronic filing of submissions, by e-mail or by telefax. OHA's e-mail address for filing submissions is OHA.filings@hq.doe.gov; the OHA telefax number is (202) 287-1415. Note, however, that because of signature issues, we may ask you to file a signed original of a document. We will send an acknowledgment (by letter or e-mail) upon our receipt of all principal pleadings. If you choose to file by regular

  10. Strategies for Collecting Household Energy Data | Department of Energy

    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 Collecting Household Energy Data, Call Slides and Discussion Summary, July 19, 2012. Call Slides and Discussion Summary (700.06 KB) More Documents & Publications Homeowner and Contractor Surveys Mastermind: Jim Mikel, Spirit Foundation Generating Energy Efficiency Project Leads and Allocating Leads to Contractors

  11. MEMORANDUM TO: FILE FROM:

    Office of Legacy Management (LM)

    p' : , .; ' ' < 3.518 MEMORANDUM TO: FILE FROM: -Ye L&a ---...e---e--- DATE 6j88 7 v---s -- ---... SUBJECT: ;&l a+-b IA Tcornqm Q afib4 SITE NAME: CITY: & &&at leg co ...

  12. Unix File Permissions

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

    also sometimes known as "world" permissions, and applies to all users who can login to the system. The command "ls -l" displays the permissions and associated group for any file. ...

  13. Appliance Commitment for Household Load Scheduling

    SciTech Connect (OSTI)

    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.

  14. Level Diagram Format Choice

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

    Which format should I use? There is no clear-cut answer to this question -- different solutions work better in different situations. In an effort to help you decide which will work best for you, we provide a discussion of the advantages and disadvantages of the three available formats. GIF: GIF stands for Graphic Interchange Format. It was developed by CompuServe as a device-independent way to store pictures. The files are well-compressed, so download time is relatively short. Most web browsers

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

    SciTech Connect (OSTI)

    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.

  16. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect (OSTI)

    none,

    2011-12-01

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

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

    SciTech Connect (OSTI)

    Hoffman, W.L.

    1982-12-01

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

  18. " Million U.S. Housing Units" ,,"2005 Household...

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

    8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ... to 79,999","80,000 or More" "Water Heating Characteristics" ...

  19. File:NREL-banglmetst-221.pdf | Open Energy Information

    Open Energy Info (EERE)

    File Edit with form History File:NREL-banglmetst-221.pdf Jump to: navigation, search File File history File usage Selected Meteorological Stations and Elevation Size of this...

  20. WeatherMaker: Weather file conversion and evaluation

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1999-07-01

    WeatherMaker is a weather-data utility for use with the ENERGY-10 design-tool computer program. The three main features are: Convert--Weather files can be converted from one format to another. For example, a TMY2 format file can be converted to an ENERGY-10 binary file that can be used in a simulation. This binary file can then be converted to a text format that allows it to be read and/or manipulated in WordPad or Excel. Evaluate--ENERGY-10 weather files can be studied in great detail. There are 8 graphical displays of the data that provide insight into the data, and a summary tables that presents results calculated from the hourly data. Adjust--Hourly temperature data can be adjusted starting with hourly data from a nearby TMY2 site. Dry-bulb and wet-bulb temperatures are adjusted up or down as required to match given monthly statistics. This feature can be used to generate weather files for any of 3,958 sites in the US where such monthly statistics are tabulated. The paper shows a variety of results, explains the methods used, and discusses the rationale for making the adjustments. It is anticipated that WeatherMaker will be released by the time of the ASES Solar 99 conference.

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

    SciTech Connect (OSTI)

    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.

  2. File:S-38-Well-Construction-and-Modification-Permit.pdf | Open...

    Open Energy Info (EERE)

    S-38-Well-Construction-and-Modification-Permit.pdf Jump to: navigation, search File File history File usage File:S-38-Well-Construction-and-Modification-Permit.pdf Size of this...

  3. File:Mmpa.pdf | Open Energy Information

    Open Energy Info (EERE)

    Mmpa.pdf Jump to: navigation, search File File history File usage File:Mmpa.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go to page 1 2 3 4 5 6...

  4. File:Keystone.pdf | Open Energy Information

    Open Energy Info (EERE)

    Keystone.pdf Jump to: navigation, search File File history File usage File:Keystone.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go to page 1 2...

  5. File:Handbook.pdf | Open Energy Information

    Open Energy Info (EERE)

    Handbook.pdf Jump to: navigation, search File File history File usage File:Handbook.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go to page 1 2...

  6. File:Install.pdf | Open Energy Information

    Open Energy Info (EERE)

    Install.pdf Jump to: navigation, search File File history File usage File:Install.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Full resolution...

  7. File:Hydrofracking.pdf | Open Energy Information

    Open Energy Info (EERE)

    Hydrofracking.pdf Jump to: navigation, search File File history File usage File:Hydrofracking.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go...

  8. File:Consultants.pdf | Open Energy Information

    Open Energy Info (EERE)

    Consultants.pdf Jump to: navigation, search File File history File usage File:Consultants.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go to...

  9. File:Installnot.pdf | Open Energy Information

    Open Energy Info (EERE)

    Installnot.pdf Jump to: navigation, search File File history File usage File:Installnot.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Full...

  10. File:RSC.pdf | Open Energy Information

    Open Energy Info (EERE)

    RSC.pdf Jump to: navigation, search File File history File usage File:RSC.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go to page 1 2 3 4 5 6 7...

  11. Category:Map Files | Open Energy Information

    Open Energy Info (EERE)

    has the following 4 subcategories, out of 4 total. M Map Image Files Map PDF Files N NREL Map Files 1 pages S SWERA Map Files Media in category...

  12. File:Primer.pdf | Open Energy Information

    Open Energy Info (EERE)

    Primer.pdf Jump to: navigation, search File File history File usage File:Primer.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go to page 1 2 3 4...

  13. File:600.pdf | Open Energy Information

    Open Energy Info (EERE)

    600.pdf Jump to: navigation, search File File history File usage File:600.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go to page 1 2 3 4 5 6 7...

  14. File:SGI.pdf | Open Energy Information

    Open Energy Info (EERE)

    SGI.pdf Jump to: navigation, search File File history File usage Metadata File:SGI.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Go to page 1 2...

  15. File:038392007).pdf | Open Energy Information

    Open Energy Info (EERE)

    8392007).pdf Jump to: navigation, search File File history File usage File:038392007).pdf Size of this preview: 463 599 pixels. Other resolution: 463 600 pixels. Go to page 1...

  16. File:Methane.pdf | Open Energy Information

    Open Energy Info (EERE)

    Methane.pdf Jump to: navigation, search File File history File usage File:Methane.pdf Size of this preview: 448 600 pixels. Go to page 1 2 3 4 5 Go next page next page ...

  17. Hopper File Storage and I/O

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

    File Storage and IO File Storage and IO Disk Quota Change Request Form Hopper File Systems Hopper has 5 user file systems which provide different degrees of storage, performance...

  18. Setting up File Permissions

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

    Setting up File Permissions Setting up File Permissions Recommendations for Setting up "Shared" Directories This section shows the recommended commands for setting up shared directories. Please read the full page to get an understanding of what these commands are doing. These recommendations are based on the common use-case at the JGI for user/group read/write and global read access. Creating a New Shared Directory dmj@genepool04:~$ umask 002 # or have this set in .bashrc.ext

  19. Look At (Search) Large Files

    Energy Science and Technology Software Center (OSTI)

    1992-07-13

    Scanning large files for information can be time consuming and expensive when using edit utilities on large mainframe computers. The reason is that editors must usually load the file into a buffer.

  20. OHA Misc Cases Archive File

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is a archive file of our Misc decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark section of the...

  1. OHA Whistleblower Cases Archive File

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is a archive file of our Whistleblower decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark...

  2. OHA Security Cases Archive File

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is a archive file of our Security decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark section of...

  3. OHA EIA CASES ARCHIVE FILE

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is a archive file of our EIA decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark section of the...

  4. OHA FOIA Cases Archive File

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is a archive file of our FOIA decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark section of the...

  5. File storage and I/O

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

    File storage and I/O File storage and I/O Disk Quota Change Request Form Franklin File Systems The Franklin system has 4 different file systems mounted which provide different levels of disk storage, I/O performance and file permanence. The table below describes the various Franklin file systems File System Home Local Scratch Project Environment Variable Definition $HOME $SCRATCH $SCRATCH2 No environment variable /project/projectdirs/ Description Global homes file system shared with other NERSC

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

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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

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

    SciTech Connect (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, 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.

  8. Reconstructing householder vectors from Tall-Skinny QR

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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 (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 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. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    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).

  11. Projecting household energy consumption within a conditional demand framework

    SciTech Connect (OSTI)

    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).

  12. 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 ...

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

    U.S. 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" ...

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

    U.S. 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" ...

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

    U.S. 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" ...

  16. MPI File Tree Walk

    Energy Science and Technology Software Center (OSTI)

    2007-04-30

    MPI-FTW is a scalable MPI based software application that navigates a directory tree by dynamically allocating processes to navigate sub-directories found. Upon completion, MPI-FTW provides statistics on the number of directories found, files found, and time to complete. Inaddition, commands can be executed at each directory level.

  17. MEMORANDUfl J: FILE DATE

    Office of Legacy Management (LM)

    J: FILE DATE r so ---...w------m FROM: 9. 34oyc -w---...v----- SUBJECT: D3 Bo;s CL&;C J mL-;+J; - Rcc cap 049 'A :j: &336;s L-.fh w-f L-1 ALE"nirTE ---...

  18. 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

  19. Convertor of MAD Programs to a Set of ASCII files to load into SYBASE

    Energy Science and Technology Software Center (OSTI)

    1995-07-12

    Used in Lattice support and maintenance; current buffer in Emacs editor is converted into a bunch of ASCII files (each for specific MAD token type). These files are in some fixed format and are ready to be loaded into the database (sysbase).

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

    U.S. 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...

  1. File:01UTALandUsePlanning.pdf | Open Energy Information

    Open Energy Info (EERE)

    Datasets Community Login | Sign Up Search File Edit History File:01UTALandUsePlanning.pdf Jump to: navigation, search File File history File usage Metadata File:01UTALandUsePlan...

  2. File:01CAALandUsePlanning.pdf | Open Energy Information

    Open Energy Info (EERE)

    File Edit History File:01CAALandUsePlanning.pdf Jump to: navigation, search File File history File usage Metadata File:01CAALandUsePlanning.pdf Size of this preview: 463 599...

  3. File:01IDALandUseConsiderations.pdf | Open Energy Information

    Open Energy Info (EERE)

    File Edit History File:01IDALandUseConsiderations.pdf Jump to: navigation, search File File history File usage Metadata File:01IDALandUseConsiderations.pdf Size of this preview:...

  4. File:08COCStateTransmissionProcess.pdf | Open Energy Information

    Open Energy Info (EERE)

    Community Login | Sign Up Search File Edit History File:08COCStateTransmissionProcess.pdf Jump to: navigation, search File File history File usage Metadata File:08COCStateTransm...

  5. File:01MTALandUseConsiderations.pdf | Open Energy Information

    Open Energy Info (EERE)

    File Edit History File:01MTALandUseConsiderations.pdf Jump to: navigation, search File File history File usage Metadata File:01MTALandUseConsiderations.pdf Size of this preview:...

  6. File:03COCEncroachmentOverview.pdf | Open Energy Information

    Open Energy Info (EERE)

    File Edit History File:03COCEncroachmentOverview.pdf Jump to: navigation, search File File history File usage Metadata File:03COCEncroachmentOverview.pdf Size of this preview: 463...

  7. File:0 - Overall Flow (Solar).pdf | Open Energy Information

    Open Energy Info (EERE)

    File Edit History File:0 - Overall Flow (Solar).pdf Jump to: navigation, search File File history File usage Metadata File:0 - Overall Flow (Solar).pdf Size of this preview: 463 ...

  8. DOE - Fossil Energy: Introduction Page to E-Filing System

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

    E-Filing Natural Gas Import & Export Regulation - E-Filing DOE's Natural Gas E-Filing System More Info E-Filing Instructions Go directly to e-Filing Form View Sample e-File...

  9. File:WSR flowchart-introduction.pdf | Open Energy Information

    Open Energy Info (EERE)

    Apps Datasets Community Login | Sign Up Search File Edit History File:WSR flowchart-introduction.pdf Jump to: navigation, search File File history File usage File:WSR...

  10. Transferring 2001 National Household Travel Survey

    SciTech Connect (OSTI)

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

    2007-05-01

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

  11. Ventilation Behavior and Household Characteristics in NewCalifornia Houses

    SciTech Connect (OSTI)

    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.

  12. Detailed Drawings of NERSC File Systems

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

    File System Drawing Detailed Drawings of NERSC File Systems Cori Global Scratch cori scratch Global Project project Abbreviations CMP Chip Multicore Processor OSS Object Storage Server: a component of a Lustre File System OST Object Storage Target: a component of a Lustre File System LNET Lustre Network router MDS Metadata Server, manage file operation, e.g., create new file, write to shared file DVS Data Virtualization Server, Running a service to mount external storage to Cray systems HPSS

  13. File Storage and I/O

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

    File Storage and I/O File Storage and I/O Disk Quota Change Request Form Hopper File Systems Hopper has 5 user file systems which provide different degrees of storage, performance and permanence. The table below summarizes these file systems: File System Home Local Scratch Global Scratch Project Environment Variable Definition $HOME $SCRATCH $SCRATCH2 $GSCRATCH None. Must use /project/projectdirs/ Description Global home file system shared with other NERSC systems. All NERSC machines mount the

  14. Original Signature On File

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

    Signature On File Department of Energy Carl sbad Field Office P. O. Box 3090 Carlsbad , New Mexico 8822 1 June 10, 2009 Mr. Steve Zappe, Project Leader Hazardous Waste Bureau New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Subject: Transmittal of CBFO Final Audit Report A-09-12 , Los Alamos National Laboratory Central Characterization Project TRU Waste Characterization and Certification Dear Mr. Zappe: Enclosed is the Carlsbad Field Office

  15. Snake River Plain Geothermal Play Fairway Analysis - Phase 1 KMZ files

    SciTech Connect (OSTI)

    John Shervais

    2015-10-10

    This dataset contain raw data files in kmz files (Google Earth georeference format). These files include volcanic vent locations and age, the distribution of fine-grained lacustrine sediments (which act as both a seal and an insulating layer for hydrothermal fluids), and post-Miocene faults compiled from the Idaho Geological Survey, the USGS Quaternary Fault database, and unpublished mapping. It also contains the Composite Common Risk Segment Map created during Phase 1 studies, as well as a file with locations of select deep wells used to interrogate the subsurface.

  16. How can I open .ASC files contained in the following linkhttp...

    Open Energy Info (EERE)

    .ASC file format is also compatible with most common GIS software, such as ESRI ArcGIS or Quantum GIS (QGIS). The data will be added to the GIS interface as a raster layer....

  17. File:08MTATransmission (3).pdf | Open Energy Information

    Open Energy Info (EERE)

    08MTATransmission (3).pdf Jump to: navigation, search File File history File usage Metadata File:08MTATransmission (3).pdf Size of this preview: 463 599 pixels. Other...

  18. File:07FDCPURPAQualifyingFacilityCertificationProcess.pdf | Open...

    Open Energy Info (EERE)

    FDCPURPAQualifyingFacilityCertificationProcess.pdf Jump to: navigation, search File File history File usage Metadata File:07FDCPURPAQualifyingFacilityCertificationProcess.pdf Size...

  19. File:07TXBRECGeneratorCertification.pdf | Open Energy Information

    Open Energy Info (EERE)

    7TXBRECGeneratorCertification.pdf Jump to: navigation, search File File history File usage Metadata File:07TXBRECGeneratorCertification.pdf Size of this preview: 463 599 pixels....

  20. File:04AKBGeophysicalExplorationPermit.pdf | Open Energy Information

    Open Energy Info (EERE)

    AKBGeophysicalExplorationPermit.pdf Jump to: navigation, search File File history File usage Metadata File:04AKBGeophysicalExplorationPermit.pdf Size of this preview: 463 599...

  1. File:07FDBPlantCommissioning.pdf | Open Energy Information

    Open Energy Info (EERE)

    FDBPlantCommissioning.pdf Jump to: navigation, search File File history File usage Metadata File:07FDBPlantCommissioning.pdf Size of this preview: 463 599 pixels. Other...

  2. File:07HIAGeothermalAndCableSystemDevelopmentPermitting.pdf ...

    Open Energy Info (EERE)

    HIAGeothermalAndCableSystemDevelopmentPermitting.pdf Jump to: navigation, search File File history File usage Metadata File:07HIAGeothermalAndCableSystemDevelopmentPermitting.pdf...

  3. File:ApplicationtoAppropriate.pdf | Open Energy Information

    Open Energy Info (EERE)

    ApplicationtoAppropriate.pdf Jump to: navigation, search File File history File usage File:ApplicationtoAppropriate.pdf Size of this preview: 463 599 pixels. Other resolution:...

  4. File:08CABCaliforniaTransmissionCPUCProcess.pdf | Open Energy...

    Open Energy Info (EERE)

    8CABCaliforniaTransmissionCPUCProcess.pdf Jump to: navigation, search File File history File usage File:08CABCaliforniaTransmissionCPUCProcess.pdf Size of this preview: 463 599...

  5. File:AlaskaTitleVApplicationSubmittalInstructions.pdf | Open...

    Open Energy Info (EERE)

    AlaskaTitleVApplicationSubmittalInstructions.pdf Jump to: navigation, search File File history File usage File:AlaskaTitleVApplicationSubmittalInstructions.pdf Size of this...

  6. File:03ORENoncompetitiveGeothermalLease.pdf | Open Energy Information

    Open Energy Info (EERE)

    ORENoncompetitiveGeothermalLease.pdf Jump to: navigation, search File File history File usage Metadata File:03ORENoncompetitiveGeothermalLease.pdf Size of this preview: 463 599...

  7. File:07CAAPlantCommissioningProcessApplicationForCertification...

    Open Energy Info (EERE)

    7CAAPlantCommissioningProcessApplicationForCertification.pdf Jump to: navigation, search File File history File usage Metadata File:07CAAPlantCommissioningProcessApplicationForCert...

  8. File:08IDAStateTransmission.pdf | Open Energy Information

    Open Energy Info (EERE)

    IDAStateTransmission.pdf Jump to: navigation, search File File history File usage Metadata File:08IDAStateTransmission.pdf Size of this preview: 463 599 pixels. Other...

  9. File:03AKCEncroachmentOverview.pdf | Open Energy Information

    Open Energy Info (EERE)

    AKCEncroachmentOverview.pdf Jump to: navigation, search File File history File usage Metadata File:03AKCEncroachmentOverview.pdf Size of this preview: 463 599 pixels. Other...

  10. File:06ORATransportationPermit.pdf | Open Energy Information

    Open Energy Info (EERE)

    ORATransportationPermit.pdf Jump to: navigation, search File File history File usage Metadata File:06ORATransportationPermit.pdf Size of this preview: 463 599 pixels. Other...

  11. File:06NVATransportationPermit.pdf | Open Energy Information

    Open Energy Info (EERE)

    NVATransportationPermit.pdf Jump to: navigation, search File File history File usage Metadata File:06NVATransportationPermit.pdf Size of this preview: 463 599 pixels. Other...

  12. File:08CAACaliforniaTransmission.pdf | Open Energy Information

    Open Energy Info (EERE)

    CAACaliforniaTransmission.pdf Jump to: navigation, search File File history File usage Metadata File:08CAACaliforniaTransmission.pdf Size of this preview: 463 599 pixels. Other...

  13. File:06AKATransportationOversizeOverweight.pdf | Open Energy...

    Open Energy Info (EERE)

    6AKATransportationOversizeOverweight.pdf Jump to: navigation, search File File history File usage Metadata File:06AKATransportationOversizeOverweight.pdf Size of this preview: 463...

  14. File:07CACCaliforniaEnergyFacilityCPUCProcess.pdf | Open Energy...

    Open Energy Info (EERE)

    CACCaliforniaEnergyFacilityCPUCProcess.pdf Jump to: navigation, search File File history File usage Metadata File:07CACCaliforniaEnergyFacilityCPUCProcess.pdf Size of this preview:...

  15. File:03CACEncroachmentPermit.pdf | Open Energy Information

    Open Energy Info (EERE)

    CACEncroachmentPermit.pdf Jump to: navigation, search File File history File usage Metadata File:03CACEncroachmentPermit.pdf Size of this preview: 463 599 pixels. Other...

  16. File:06FDAEPAConstructionGeneralPermitConstructionStormwater...

    Open Energy Info (EERE)

    06FDAEPAConstructionGeneralPermitConstructionStormwater.pdf Jump to: navigation, search File File history File usage Metadata File:06FDAEPAConstructionGeneralPermitConstructionStor...

  17. File:07ORDExpeditedPlantCommissioningProcess.pdf | Open Energy...

    Open Energy Info (EERE)

    ORDExpeditedPlantCommissioningProcess.pdf Jump to: navigation, search File File history File usage Metadata File:07ORDExpeditedPlantCommissioningProcess.pdf Size of this preview:...

  18. File:03IDCEncroachmentPermit.pdf | Open Energy Information

    Open Energy Info (EERE)

    IDCEncroachmentPermit.pdf Jump to: navigation, search File File history File usage Metadata File:03IDCEncroachmentPermit.pdf Size of this preview: 463 599 pixels. Other...

  19. File:0 - Overall Flow - Transmission.pdf | Open Energy Information

    Open Energy Info (EERE)

    - Overall Flow - Transmission.pdf Jump to: navigation, search File File history File usage Metadata File:0 - Overall Flow - Transmission.pdf Size of this preview: 463 599...

  20. File:Federal Hydropower - Southwestern Power Administration.pdf...

    Open Energy Info (EERE)

    Federal Hydropower - Southwestern Power Administration.pdf Jump to: navigation, search File File history File usage Metadata File:Federal Hydropower - Southwestern Power...

  1. File:Federal Hydropower - Western Area Power Administration.pdf...

    Open Energy Info (EERE)

    Hydropower - Western Area Power Administration.pdf Jump to: navigation, search File File history File usage Metadata File:Federal Hydropower - Western Area Power Administration.pdf...

  2. File:Texas Construction General Permit (TXR150000).pdf | Open...

    Open Energy Info (EERE)

    Texas Construction General Permit (TXR150000).pdf Jump to: navigation, search File File history File usage Metadata File:Texas Construction General Permit (TXR150000).pdf Size of...

  3. File:03NVCEncroachment (1).pdf | Open Energy Information

    Open Energy Info (EERE)

    NVCEncroachment (1).pdf Jump to: navigation, search File File history File usage Metadata File:03NVCEncroachment (1).pdf Size of this preview: 463 599 pixels. Other resolution:...

  4. Data Storage & File Systems | Argonne Leadership Computing Facility

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

    continue to build documentation for our new computing resource. Feedback Form Data Storage & File Systems BGQ File Systems BGQ File Systems: An overview of the BGQ file...

  5. File:(PECC) Special Program on Climate Change SUMMARY (english...

    Open Energy Info (EERE)

    (PECC) Special Program on Climate Change SUMMARY (english).pdf Jump to: navigation, search File File history File usage File:(PECC) Special Program on Climate Change SUMMARY...

  6. File:CDPHE Industrial Individual Wastewater Discharge Permit...

    Open Energy Info (EERE)

    CDPHE Industrial Individual Wastewater Discharge Permit Application.pdf Jump to: navigation, search File File history File usage Metadata File:CDPHE Industrial Individual...

  7. Data File Standard for Flow Cytometry, Version FCS 3.1

    SciTech Connect (OSTI)

    Spidlen, Josef; Moore, Wayne; Parks, David; Goldberg, Michael; Bray, Chris; Gorombey, Peter; Hyun, Bill; Hubbard, Mark; Lange, Simon; Lefebvre, Ray; Leif, Robert; Novo, David; Ostruszka, Leo; Treister, Adam; Wood, James; Murphy, Robert F.; Roederer, Mario; Sudar, Damir; Zigon, Robert; Brinkman, Ryan R.; Brierre, Pierre

    2009-11-10

    The flow cytometry data file standard provides the specifications needed to completely describe flow cytometry data sets within the confines of the file containing the experimental data. In 1984, the first Flow Cytometry Standard format for data files was adopted as FCS 1.0. This standard was modified in 1990 as FCS 2.0 and again in 1997 as FCS 3.0. We report here on the next generation flow cytometry standard data file format. FCS 3.1 is a minor revision based on suggested improvements from the community. The unchanged goal of the standard is to provide a uniform file format that allows files created by one type of acquisition hardware and software to be analyzed by any other type. The FCS 3.1 standard retains the basic FCS file structure and most features of previous versions of the standard. Changes included in FCS 3.1 address potential ambiguities in the previous versions and provide a more robust standard. The major changes include simplified support for international characters and improved support for storing compensation. The major additions are support for preferred display scale, a standardized way of capturing the sample volume, information about originality of the data file, and support for plate and well identification in high throughput, plate based experiments. Please see the normative version of the FCS 3.1 specification in Supporting Information for this manuscript (or at http://www.isac-net.org/ in the Current standards section) for a complete list of changes.

  8. File:06COBConstructionStormWaterPermit.pdf | Open Energy Information

    Open Energy Info (EERE)

    Login | Sign Up Search File Edit History File:06COBConstructionStormWaterPermit.pdf Jump to: navigation, search File File history File usage Metadata File:06COBConstructio...

  9. 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

  10. Policy Flash Archive Search File

    Office of Environmental Management (EM)

    ... Policy Flash Archive Search File 4 Flash2002-10 ... Principles; 2) Contract Terms and Conditions Required to ... Transaction Authority to enter into Technology Investment ...

  11. 1999 CBECS Public Use Files

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

    only. Geographic identifiers and National Oceanic and Atmospheric Administration Weather Division identifiers are not included on any data files delivered to EIA. Geographic...

  12. MEMORANDUM TO: FILE

    Office of Legacy Management (LM)

    ' a 7 > 3gI, q OH.I-r7.-I (jt' , ""7 MEMORANDUM TO: FILE FROM: ' 'Y OIL&i cz ,,,',, -------we- SUBJECT: SITE NAME: _____ CITY:-AQY&- --------------e----e-- OWNER(S) Owner contacted n yes =urr="t: ----- -Llz2-:---,-- -----___ &,&/4$- '1 :) ' if yes, data contacted ------------- TYPE OF OPERATION ----------------- a Research t Development lti- Facility Type 0 Production scale testing a Manufacturing 5 University 0 Research Organization 0 Government Sponsored

  13. MEMORANDUM TO: FILE FROM:

    Office of Legacy Management (LM)

    p' : , .; ' _ ' < 3.518 MEMORANDUM TO: FILE FROM: -Ye L&a --------e---e--- DATE 6j8/8 7 v---s -- ---------- SUBJECT: ;&l a+-b IA T~cornqm Q afib4 SITE NAME: CITY: & &&at leg co Current: ------------------------ Owner contacted 0 yes p no; if yem, date contacted --w---w------ TYPE OF OPERATION The T$SYI L-- Tj flmf ----------------- FResearch & Development a Facility 0 Production scale testing 0 Pilot Scale p Manufacturing 0 Bench Scale Process [3 University 0

  14. GlNTRM FILES

    Office of Legacy Management (LM)

    : .; GlNTRM FILES .- Red Rwtaaie!a .=?%A .-m JJullen mtoxges8ntuuo -006 .017 .olb J-m .021 .OLt .Ol2 *Jeta Lhh .029 .0X9 ,026 ~k~exwteethaae~oyeencloee~ttothxflcmrof bUckaide. After the deccxmdnatimpxcblarrrro mlved.the rt8tma dt&itO lo- &ctioacoilrpasdistuEeed. 1. . ,, -. . . ' The conparty visited 3~ciali.z.e~ ja the a.ppLicatica of Znductiw beat. The purpose of this trip wa s to advise on haaBh and safety measures for the preoceeptance testing of inductioo heat treating equipment

  15. HEMORANDUH TO: FILE DATE

    Office of Legacy Management (LM)

    HEMORANDUH TO: FILE DATE 1123 lLjl ---WV-------------- FROM: P. s&w+ -------v-----s-- SUBJECT: lJ+ - e;& SITE NAME: LJo"zL - /L,' de Cd -J--h=- ALTERNATE l --e-e-- ------w------- ---,,,' ,m--, NAME: ---------------------- CITY: LL-pL~ ------------ ------------- STATE3 e--w-- OWNER tS) -----w-- Past I --k-!!.l~ -pa L . -v-----w------- Current: Owner contac?-ed 0 yes 0 no; if yes, I+Lff A zid;&m - -------------------------- date contacted ------B--m--- TYPE OF OPERATION

  16. EIA-411 Data File

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    historic data Electric Reliability Historic Data Release Date: May 16, 2016 Next Release Date: November 2016 Electricity Reliability Data Shown by NERC Council and Region formats ...

  17. File Storage and I/O

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

    File Storage and I/O File Storage and I/O Disk Quota Change Request Form Cori File Systems The Cori system has 3 different user-accessible file systems; they provide different levels of disk storage and I/O performance. The table below describes these systems. File System Home Scratch Project Environment Variable $HOME $SCRATCH None. Must use /project/projectdirs/ Description Global home file system shared with other NERSC systems. All NERSC machines mount the same home directory. GPFS

  18. Resolved: Hopper /scratch file system slow

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

    Hopper /scratch file system slow Resolved: Hopper /scratch file system slow August 6, 2014 Symptom: Users have reported scripts hung when involving file copies from/to the /scratch file system, or jobs running in /scratch are slower than before since late last week. Workaround: If it is convenient, move your workflow to /scratch2 temporarily, avoid any reference to /scratch. It includes setting your input files directory, your batch job submission directory, your executable file location, and

  19. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

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

    1996-11-01

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

  20. Modeling patterns of hot water use in households

    SciTech Connect (OSTI)

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

    1996-01-01

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

  1. PDF File Information (pbl/help)

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

    Site Help > Help Power Services Site Map Searching for Text Other Navigation Aids PDF File Info Firstgov PDF File Information Many of the documents available on the Power...

  2. Amended Environmental Impact Statement Filing System Guidance...

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

    Amended Environmental Impact Statement Filing System Guidance (EPA, 2012) Amended Environmental Impact Statement Filing System Guidance (EPA, 2012) Amended Environmental Impact ...

  3. Resolved: Hopper /scratch file system slow

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

    your input files directory, your batch job submission directory, your executable file location, and the TMPDIR setting (which is set to SCRATCH by default). Status: This...

  4. Instructions to CBECS 1995 Microdata Files

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

    5 Files WHAT IS CBECS? Please Note: These microdata files, which contain building characteristics, energy consumption and expenditures, and energy end-use estimates replace the...

  5. Help:Managing files | Open Energy Information

    Open Energy Info (EERE)

    file." Click "Browse" next to the "Source filename:" to locate the file on your computer (the name of the "browse" button depends on your web browser). Change the...

  6. Edison File Storage and I/O

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

    Storage & File Systems Application Performance Data & Analytics Job Logs & Statistics ... File System Home Local Scratch Project Global Scratch Environment Variable Definition ...

  7. A Glance at China’s Household Consumption

    SciTech Connect (OSTI)

    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.

  8. Shared Solar Projects Powering Households Throughout America | Department

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

    of Energy Shared Solar Projects Powering Households Throughout America Shared Solar Projects Powering Households Throughout America January 31, 2014 - 2:30pm Addthis Shared solar projects allow consumers to take advantage of solar energy’s myriad benefits, even though the system is not located on the consumer’s own rooftop. | Photo courtesy of the Vote Solar Initiative Shared solar projects allow consumers to take advantage of solar energy's myriad benefits, even though the system

  9. New York Household Travel Patterns: A Comparison Analysis

    SciTech Connect (OSTI)

    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

  10. Household heating bills expected to be lower this winter

    U.S. 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