National Library of Energy BETA

Sample records for usage weekday weekend

  1. DOE's Studies of Weekday/Weekend Ozone Pollution in Southern...

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

    Ozone Formation as a Function of NOx Reductions Summary and Implications for Air Quality Impacts Weekday and Weekend Air Pollutant Levels in Ozone Problem Areas in the U.S.

  2. Weekend/Weekday Ozone Study in the South Coast Air Basin | Department...

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

    Emissions Control Experiment Weekday and Weekend Air Pollutant Levels in Ozone Problem Areas in the U.S. DOE's Studies of WeekdayWeekend Ozone Pollution in Southern California

  3. DOE's Studies of Weekday/Weekend Ozone Pollution in Southern California |

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

    Department of Energy Studies of Weekday/Weekend Ozone Pollution in Southern California DOE's Studies of Weekday/Weekend Ozone Pollution in Southern California 2002 DEER Conference Presentation: National Renewable Energy Laboratory 2002_deer_lawson.pdf (393.04 KB) More Documents & Publications The Weekend Ozone Effect - The Weekly Ambient Emissions Control Experiment Real-World Studies of Ambient Ozone Formation as a Function of NOx Reductions … Summary and Implications for Air Quality

  4. Weekday and Weekend Air Pollutant Levels in Ozone Problem Areas in the U.S.

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

    | Department of Energy Weekday and Weekend Air Pollutant Levels in Ozone Problem Areas in the U.S. Weekday and Weekend Air Pollutant Levels in Ozone Problem Areas in the U.S. 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005_deer_lawson.pdf (221.69 KB) More Documents & Publications Weekend/Weekday Ozone Study in the South Coast Air Basin Real-World Studies of Ambient Ozone Formation as a Function of NOx Reductions … Summary and Implications for Air

  5. Weekday and Weekend Air Pollutant Levels in Ozone Problem Areas...

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

    Ozone Formation as a Function of NOx Reductions Summary and Implications for Air Quality Impacts The Weekend Ozone Effect - The Weekly Ambient Emissions Control Experiment

  6. The Weekend Ozone Effect - The Weekly Ambient Emissions Control...

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

    More Documents & Publications WeekendWeekday Ozone Study in the South Coast Air Basin DOE's Studies of WeekdayWeekend Ozone Pollution in Southern California Real-World Studies of ...

  7. The Weekend Ozone Effect - The Weekly Ambient Emissions Control Experiment

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

    | Department of Energy The Weekend Ozone Effect - The Weekly Ambient Emissions Control Experiment The Weekend Ozone Effect - The Weekly Ambient Emissions Control Experiment 2003 DEER Conference Presentation: National Renewable Energy Laboratory 2003_deer_lawson.pdf (335.4 KB) More Documents & Publications Weekend/Weekday Ozone Study in the South Coast Air Basin DOE's Studies of Weekday/Weekend Ozone Pollution in Southern California Real-World Studies of Ambient Ozone Formation as a

  8. Property:OpenEI/UtilityRate/DemandWeekdaySchedule | Open Energy...

    Open Energy Info (EERE)

    search This is a property of type Text. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateDemandWeekdaySchedule&oldid539760" Feedback...

  9. Property:OpenEI/UtilityRate/DemandChargeWeekdaySchedule | Open...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Text. Name: Demand Charge Weekday Schedule Pages using the property "OpenEIUtilityRate...

  10. Property:OpenEI/UtilityRate/EnergyWeekdaySchedule | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Text. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateEnergyWeekdaySchedule&oldid539798...

  11. Usage Demographics

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

    Demographics Usage Demographics NERSC Usage Demographics 2014 In 2014, NERSC supported about 6,000 users from universities, national laboratories and industry, working on 849...

  12. Usage Statistics

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

    Usage Statistics Usage Statistics Genepool Cluster Statistics Period: daily weekly monthly quarter yearly 2year Utilization By Group Jobs Pending Last edited: 2013-09-26 18:21:13...

  13. NERSC Usage Demographics 2010

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

    0 NERSC Usage Demographics 2010 Academic Usage Usage by Discipline DOE & Other Lab Usage Usage by Institution Type Last edited: 2015-03-02 16:21:16...

  14. HSI Usage

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

    Usage HSI Usage HSI is a flexible and powerful command-line utility to access the NERSC HPSS storage systems. Like FTP, you can use it to store and retrieve files but it has a much larger set of commands for listing your files and directories, creating directories, changing file permissions, etc. The command set has a UNIX look and feel (e.g. mv, mkdir, rm, cp, cd, etc.) so that moving through your HPSS directory tree is almost identical to what you would find on a UNIX file system. HSI can be

  15. HTAR Usage

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

    Usage HTAR Usage HTAR is a command line utility that creates and manipulates HPSS-resident tar-format archive files. It is ideal for storing groups of files in HPSS. Since the tar file is created directly in HPSS, it is generally faster and uses less local space than creating a local tar file then storing that into HPSS. Furthermore, HTAR creates an index file that (by default) is stored along with the archive in HPSS. This allows you to list the contents of an archive without retrieving it to

  16. Usage Summaries

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

    Usage Summaries PDSF Group Batch Summary Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2016 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 Partial SGE62 2015 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 2014 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 2013 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 2012 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62 SGE62

  17. NERSC Usage Demographics 2011

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

    1 NERSC Usage Demographics 2011 Last edited: 2016-08-18 15:54:34

  18. NERSC Usage Demographics 2012

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

    2 NERSC Usage Demographics 2012 Last edited: 2016-06-29 14:26:22

  19. NERSC Usage Demographics 2013

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

    3 NERSC Usage Demographics 2013 Last edited: 2016-06-29 14:27:1

  20. Advanced Usage Examples

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

    Examples Advanced Usage Examples Transferring Data from Batch Jobs Once you have set up your automatic HPSS authentication you can access HPSS within batch scripts. Read More ...

  1. NERSC Usage Demographics 2014

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

    4 NERSC Usage Demographics 2014 In 2014, NERSC supported about 6,000 users from universities, national laboratories and industry, working on 849 projects with allocations of NERSC...

  2. Property:OpenEI/UtilityRate/EnergyWeekendSchedule | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Text. Retrieved from "http:en.openei.orgwindex.php?titleProperty:OpenEIUtilityRateEnergyWeekendSchedule&oldid539799...

  3. NERSC Usage and User Demographics

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

    Usage Demographics Users and Projects Through the Years Careers Visitor Info Web Policies Home » About » Usage and User Demographics NERSC Usage and User Demographics Usage Demographics Number of NERSC Users and Projects Through the Years Number of NERSC Users and Projects Through the Years Read More » Last edited: 2015-03-02 16:21:25

  4. How usage is charged

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

    usage is charged How usage is charged MPP Charging (Computational Systems) When a job runs on a NERSC MPP system, such as Hopper, charges accrue against one of the user's repository allocations. The unit of accounting for these charges is the "MPP Hour". A parallel job is charged for exclusive use of each multi-core node allocated to the job. The MPP charge for such a job is calculated as the product of: the job's elapsed wall-clock time in hours the number of nodes allocated to the

  5. How Will You Save Energy Over the Fourth of July Weekend? | Department of

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

    Energy Save Energy Over the Fourth of July Weekend? How Will You Save Energy Over the Fourth of July Weekend? June 30, 2011 - 7:13pm Addthis The Fourth of July is coming up and many people are planning to entertain. Though the Fourth is a the perfect holiday to spend outdoors, entertaining can still mean that many people are going in and out of the house. All those people and doors opening and closing can mean extra heat buildup-which means extra money spent keeping things cool. So tell us:

  6. NERSC Usage Demographics 2014

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

    4 NERSC Usage Demographics 2014 In 2014, NERSC supported about 6,000 users from universities, national laboratories and industry, working on 849 projects with allocations of NERSC resources. Our users come from across the U.S. and around the globe, with 48 states and 46 countries represented. Last edited: 2016-06-29 14:26:5

  7. Real-World Studies of Ambient Ozone Formation as a Function of...

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

    More Documents & Publications Weekday and Weekend Air Pollutant Levels in Ozone Problem Areas in the U.S. DOE's Studies of WeekdayWeekend Ozone Pollution in Southern California ...

  8. usage_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Contact: Stephanie J. Battles, Survey Manager (stephanie.battles@eia.doe.gov) World Wide Web: http:www.eia.doe.govemeuconsumption Table HC6-1a. Usage Indicators by Climate ...

  9. CBECS 2012: Energy Usage Summary

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

    2012 Commercial Buildings Energy Consumption Survey: Energy Usage Summary CBECS 2012 - Release date: March 18, 2016 Despite a 14% increase in total buildings and a 22% increase in total floorspace since 2003, energy use in the estimated 5.6 million U.S. commercial buildings was up just 7% during the same period, according to new analysis from the 2012 Commercial Buildings Energy Consumption Survey (CBECS). Slower growth in commercial building energy demand since 2003 is explained in part by

  10. Opportunistic Resource Usage in CMS

    SciTech Connect (OSTI)

    Kreuzer, Peter; Hufnagel, Dirk; Dykstra, D.; Gutsche, O.; Tadel, M.; Sfiligoi, I.; Letts, J.; Wuerthwein, F.; McCrea, A.; Bockelman, B.; Fajardo, E.; Linares, L.; Wagner, R.; Konstantinov, P.; Blumenfeld, B.; Bradley, D.

    2014-01-01

    CMS is using a tiered setup of dedicated computing resources provided by sites distributed over the world and organized in WLCG. These sites pledge resources to CMS and are preparing them especially for CMS to run the experiment's applications. But there are more resources available opportunistically both on the GRID and in local university and research clusters which can be used for CMS applications. We will present CMS' strategy to use opportunistic resources and prepare them dynamically to run CMS applications. CMS is able to run its applications on resources that can be reached through the GRID, through EC2 compliant cloud interfaces. Even resources that can be used through ssh login nodes can be harnessed. All of these usage modes are integrated transparently into the GlideIn WMS submission infrastructure, which is the basis of CMS' opportunistic resource usage strategy. Technologies like Parrot to mount the software distribution via CVMFS and xrootd for access to data and simulation samples via the WAN are used and will be described. We will summarize the experience with opportunistic resource usage and give an outlook for the restart of LHC data taking in 2015.

  11. Recent Trends in Car Usage in Advanced Economies - Slower Growth...

    Open Energy Info (EERE)

    Trends in Car Usage in Advanced Economies - Slower Growth Ahead? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Recent Trends in Car Usage in Advanced Economies -...

  12. Level: National Data; Row: NAICS Codes; Column: Usage within...

    Gasoline and Diesel Fuel Update (EIA)

    Technologies, 2010; Level: National Data; Row: NAICS Codes; Column: Usage within ... Technologies, 2010; Level: National Data; Row: NAICS Codes; Column: Usage within ...

  13. Documentation of INL's In Situ Oil Shale Retorting Water Usage...

    Office of Scientific and Technical Information (OSTI)

    Oil Shale Retorting Water Usage System Dynamics Model Citation Details In-Document Search Title: Documentation of INL's In Situ Oil Shale Retorting Water Usage System Dynamics ...

  14. NREL Transportation Project to Reduce Fuel Usage

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

    Transportation Project to Reduce Fuel Usage For more information contact: Sarah Holmes Barba, 303-275-3023 email: Sarah Barba Golden, Colo., Mar. 23, 2001 - The Jefferson County Seniors Resource Center (SRC) Paratransit Service has become an important part of Eulalia Gaillard's life since her stroke in 1996. She calls on SRC to drive her to cardiologist, neurologist and chiropractor appointments each week. "It's wonderful," Gaillard says. "I'd give this program 150 plus in regards

  15. Data Center Metering and Power Usage Effectiveness | Department...

    Office of Environmental Management (EM)

    Data Center Metering and Power Usage Effectiveness Data Center Metering and Power Usage Effectiveness July 28, 2016 2:00PM to 3:00PM EDT Webinar will cover material from the Data ...

  16. Guideline For Retrieving Customer Usage Data From Utilities

    Broader source: Energy.gov [DOE]

    This webinar, held on Dec. 16, 2010, provides information for utilities interested in retrieving data on customer usage.

  17. An assessment of worldwide supercomputer usage

    SciTech Connect (OSTI)

    Wasserman, H.J.; Simmons, M.L.; Hayes, A.H.

    1995-01-01

    This report provides a comparative study of advanced supercomputing usage in Japan and the United States as of Spring 1994. It is based on the findings of a group of US scientists whose careers have centered on programming, evaluating, and designing high-performance supercomputers for over ten years. The report is a follow-on to an assessment of supercomputing technology in Europe and Japan that was published in 1993. Whereas the previous study focused on supercomputer manufacturing capabilities, the primary focus of the current work was to compare where and how supercomputers are used. Research for this report was conducted through both literature studies and field research in Japan.

  18. Parallel File Systems at HPC Centers: Usage,

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

    File Systems at HPC Centers: Usage, Experiences, and Recommendations William ( Bill) E . A llcock ALCF D irector o f O pera:ons Production Systems: ALCF-2 2 Mira - B G/Q s ystem - 49,152 nodes / 786,432 cores - 786 TB of memory - Peak fl op r ate: 1 0 P F - Linpack fl op r ate: 8 .1 P F Vesta --- B G/Q s ystem - 2,048 nodes / 3 2,768 c ores - 32 TB of memory - Peak fl op r ate: 4 19 T F Cetus --- B G/Q s ystem - 1,024 n odes / 1 6,384 c ores - 16 TB of memory - Peak fl op r ate: 2 09 T F Tukey -

  19. Using Wireless Technology to Reduce Facility Energy Usage | Department of

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

    Energy Using Wireless Technology to Reduce Facility Energy Usage Using Wireless Technology to Reduce Facility Energy Usage This presentation details the U.S. Department of Energy's TEAM initiative's wireless technologies and their applications. Using Wireless Technology to Reduce Facility Energy Usage (December 4, 2009) (2.57 MB) More Documents & Publications New and Emerging Technologies Figure 1: Chamber experiment to study impact of air movement on thermal comfort using personally

  20. Documentation of INL's In Situ Oil Shale Retorting Water Usage...

    Office of Scientific and Technical Information (OSTI)

    Documentation of INL's In Situ Oil Shale Retorting Water Usage System Dynamics Model Citation Details In-Document Search Title: Documentation of INL's In Situ Oil Shale Retorting ...

  1. RECS Electricity Usage Form_v2 (25418 - Activated, Traditional...

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

    electricity usage for this service address between September 2008 and April 2010. Billing ... Electricity was: BBoth Sold and Delivered SSold Only DDelivered Only (select one) B S D ...

  2. Ethanol Usage in Urban Public Transportation - Presentation of...

    Open Energy Info (EERE)

    - Presentation of Results Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Ethanol Usage in Urban Public Transportation - Presentation of Results AgencyCompany...

  3. Level: National Data; Row: NAICS Codes; Column: Usage within...

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

    Technologies, 2010; Level: National Data; Row: NAICS Codes; Column: Usage within ... Estimate less than 0.5. WWithheld to avoid disclosing data for individual establishments. ...

  4. Jefferson Lab's Education Web Site Hits New High-Usage Record...

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

    Web Site Hits New High-Usage Record Jefferson Lab's Education Web Site Hits New High-Usage Record April 22, 2002 Jefferson Lab's Science Education web site hit a new high in usage ...

  5. Documentation of INL's In Situ Oil Shale Retorting Water Usage...

    Office of Scientific and Technical Information (OSTI)

    Documentation of INL's In Situ Oil Shale Retorting Water Usage System Dynamics Model Earl D Mattson; Larry Hull 02 PETROLEUM water water A system dynamic model was construction to...

  6. 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources

    SciTech Connect (OSTI)

    Sturgeon, Richard W.

    2012-06-27

    This report provides the results of the 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources (RMUS), which was updated by the Environmental Protection (ENV) Division's Environmental Stewardship (ES) at Los Alamos National Laboratory (LANL). ES classifies LANL emission sources into one of four Tiers, based on the potential effective dose equivalent (PEDE) calculated for each point source. Detailed descriptions of these tiers are provided in Section 3. The usage survey is conducted annually; in odd-numbered years the survey addresses all monitored and unmonitored point sources and in even-numbered years it addresses all Tier III and various selected other sources. This graded approach was designed to ensure that the appropriate emphasis is placed on point sources that have higher potential emissions to the environment. For calendar year (CY) 2011, ES has divided the usage survey into two distinct reports, one covering the monitored point sources (to be completed later this year) and this report covering all unmonitored point sources. This usage survey includes the following release points: (1) all unmonitored sources identified in the 2010 usage survey, (2) any new release points identified through the new project review (NPR) process, and (3) other release points as designated by the Rad-NESHAP Team Leader. Data for all unmonitored point sources at LANL is stored in the survey files at ES. LANL uses this survey data to help demonstrate compliance with Clean Air Act radioactive air emissions regulations (40 CFR 61, Subpart H). The remainder of this introduction provides a brief description of the information contained in each section. Section 2 of this report describes the methods that were employed for gathering usage survey data and for calculating usage, emissions, and dose for these point sources. It also references the appropriate ES procedures for further information. Section 3 describes the RMUS and explains how the survey results are

  7. Commercial Building Tenant Energy Usage Aggregation and Privacy

    SciTech Connect (OSTI)

    Livingston, Olga V.; Pulsipher, Trenton C.; Anderson, David M.; Wang, Na

    2014-10-31

    A growing number of building owners are benchmarking their building energy use. This requires the building owner to acquire monthly whole-building energy usage information, which can be challenging for buildings in which individual tenants have their own utility meters and accounts with the utility. Some utilities and utility regulators have turned to aggregation of customer energy use data (CEUD) as a way to give building owners whole-building energy usage data while protecting customer privacy. Meter profile aggregation adds a layer of protection that decreases the risk of revealing CEUD as the number of meters aggregated increases. The report statistically characterizes the similarity between individual energy usage patterns and whole-building totals at various levels of meter aggregation.

  8. Mining Software Usage with the Automatic Library Tracking Database (ALTD)

    SciTech Connect (OSTI)

    Hadri, Bilel; Fahey, Mark R

    2013-01-01

    Tracking software usage is important for HPC centers, computer vendors, code developers and funding agencies to provide more efficient and targeted software support, and to forecast needs and guide HPC software effort towards the Exascale era. However, accurately tracking software usage on HPC systems has been a challenging task. In this paper, we present a tool called Automatic Library Tracking Database (ALTD) that has been developed and put in production on several Cray systems. The ALTD infrastructure prototype automatically and transparently stores information about libraries linked into an application at compilation time and also the executables launched in a batch job. We will illustrate the usage of libraries, compilers and third party software applications on a system managed by the National Institute for Computational Sciences.

  9. 1997 RECS data on consumer usage of appliances

    SciTech Connect (OSTI)

    Latta, R.B.

    1998-07-01

    The 1997 Residential Energy Consumption Survey (RECS) conducted by the Energy Information Administration contained questions on how households use various appliances. This includes the following appliance usage (1) personnel computers, (2) cooking appliances, (3) conventional ovens, (4) microwave ovens, (5) clothes washers, and (6) clothes dryer. Many of these items were first collected in the 1997 RECS. In this paper, appliance usage by household demographic characteristics (household income, age of householder, and number of household members) are examined with an emphasis on results for data items that were first collected in the 1997 RECS.

  10. Fuel bundle design for enhanced usage of plutonium fuel

    DOE Patents [OSTI]

    Reese, Anthony P.; Stachowski, Russell E.

    1995-01-01

    A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced.

  11. Residential Lighting Usage Estimate Tool, v1.0

    Broader source: Energy.gov [DOE]

    By improving our understanding of residential lighting-energy usage and quantifying it across many different parameters, the new study will be of use to anyone doing energy estimates – such as utilities, market and investment analysts, and government agencies. It will also help manufacturers design products that not only better serve consumers' needs, but that maximize the energy savings that technologies like SSL make possible.

  12. Fuel bundle design for enhanced usage of plutonium fuel

    DOE Patents [OSTI]

    Reese, A.P.; Stachowski, R.E.

    1995-08-08

    A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced. 10 figs.

  13. Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics...

    Office of Scientific and Technical Information (OSTI)

    Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics Model Citation Details In-Document Search Title: Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics Model ...

  14. Residential Lighting Usage Estimate Tool, v1.0, Windows version...

    Energy Savers [EERE]

    Windows version Residential Lighting Usage Estimate Tool, v1.0, Windows version Windows version of the Residential Lighting Usage Estimate Tool, v1.0. Spreadsheet More Documents &...

  15. Residential Lighting Usage Estimate Tool, v1.0, MacOS version...

    Energy Savers [EERE]

    MacOS version Residential Lighting Usage Estimate Tool, v1.0, MacOS version MacOS version of the Residential Lighting Usage Estimate Tool, v1.0. Spreadsheet More Documents &...

  16. RECS Fuel Oil Usage Form_v1 (Draft).xps

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

    fuel oil usage for this delivery address between September 2008 and April 2010. Delivery ... Form EIA 457G OMB No. 1905-0092 Expires 13113 2009 RECS Fuel Oil and Kerosene Usage Form ...

  17. Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics...

    Office of Scientific and Technical Information (OSTI)

    Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics Model Citation Details In-Document Search Title: Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics ...

  18. Jefferson Lab's Education web site hits new high-usage record...

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

    web site hits new high-usage record during 2003 SOL season Jefferson Lab's Education web site hits new high-usage record during 2003 SOL season April 2, 2003 Jefferson Lab's ...

  19. Red Storm usage model :Version 1.12.

    SciTech Connect (OSTI)

    Jefferson, Karen L.; Sturtevant, Judith E.

    2005-12-01

    Red Storm is an Advanced Simulation and Computing (ASC) funded massively parallel supercomputer located at Sandia National Laboratories (SNL). The Red Storm Usage Model (RSUM) documents the capabilities and the environment provided for the FY05 Tri-Lab Level II Limited Availability Red Storm User Environment Milestone and the FY05 SNL Level II Limited Availability Red Storm Platform Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Los Alamos National Laboratory (LANL), Lawrence Livermore National Laboratory (LLNL), and SNL. Additionally, the Red Storm Usage Model maps the provided capabilities to the Tri-Lab ASC Computing Environment (ACE) requirements. The ACE requirements reflect the high performance computing requirements for the ASC community and have been updated in FY05 to reflect the community's needs. For each section of the RSUM, Appendix I maps the ACE requirements to the Limited Availability User Environment capabilities and includes a description of ACE requirements met and those requirements that are not met in that particular section. The Red Storm Usage Model, along with the ACE mappings, has been issued and vetted throughout the Tri-Lab community.

  20. A PRACTICAL ONTOLOGY FOR THE LARGE-SCALE MODELING OF SCHOLARLY ARTIFACTS AND THEIR USAGE

    SciTech Connect (OSTI)

    RODRIGUEZ, MARKO A.; BOLLEN, JOHAN; VAN DE SOMPEL, HERBERT

    2007-01-30

    The large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. As a remedy to the third constraint, this article presents a scholarly ontology that was engineered to represent those classes for which large-scale bibliographic and usage data exists, supports usage research, and whose instantiation is scalable to the order of 50 million articles along with their associated artifacts (e.g. authors and journals) and an accompanying 1 billion usage events. The real world instantiation of the presented abstract ontology is a semantic network model of the scholarly community which lends the scholarly process to statistical analysis and computational support. They present the ontology, discuss its instantiation, and provide some example inference rules for calculating various scholarly artifact metrics.

  1. DC Fast Charger Usage in the Pacific Northwest

    SciTech Connect (OSTI)

    Salisbury, Shawn; Smart, John

    2015-02-01

    This document will describe the use of a number of Direct Current Fast Charging Stations throughout Washington and Oregon as a part of of the West Coast Electric Highway. It will detail the usage frequency and location of the charging stations INL has data from. It will also include aggregated data from hundreds of privately owned vehicles that were enrolled in the EV Project regarding driving distance when using one of the West Coast Electric Highway fast chargers. This document is a white paper that will be published on the INL AVTA website.

  2. Department of Energy Federal Acquisition Regulation Clause Usage Guide

    Office of Energy Efficiency and Renewable Energy (EERE)

    Attached for your information is a corrected Department of Energy Federal Acquisition Regulation Clause Usage Guide. This corrected clause matrix is also being posted to the Stripes library. The earlier edition incorrectly designated 52.223-4 Recovered Material Certification and 52.223-9 Estimate of Percentage of Recovered Material Content for EPA-Designated Items, as Not Applicable under management and operating contracts and other facility management contracts. They are actually required clauses as 52.223-17 requires the use of such products in service and construction contracts. They are also being designated as required under the service and construction contract columns.

  3. Issues in International Energy Consumption Analysis: Electricity Usage in

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

    India's Housing Sector - Energy Information Administration Canadian Energy Demand Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Canadian Energy Demand Release date: June 2, 2015 The residential sector is one of the main end-use sectors in Canada accounting for 16.7% of total end-use site energy consumption in 2009 (computed from NRCan 2012. pp, 4-5). In this year, the residential sector accounted for 54.5% of buildings total site

  4. Use of nanofiltration to reduce cooling tower water usage.

    SciTech Connect (OSTI)

    Sanchez, Andres L.; Everett, Randy L.; Jensen, Richard Pearson; Cappelle, Malynda A.; Altman, Susan Jeanne

    2010-09-01

    Nanofiltration (NF) can effectively treat cooling-tower water to reduce water consumption and maximize water usage efficiency of thermoelectric power plants. A pilot is being run to verify theoretical calculations. A side stream of water from a 900 gpm cooling tower is being treated by NF with the permeate returning to the cooling tower and the concentrate being discharged. The membrane efficiency is as high as over 50%. Salt rejection ranges from 77-97% with higher rejection for divalent ions. The pilot has demonstrated a reduction of makeup water of almost 20% and a reduction of discharge of over 50%.

  5. Commercial and Multifamily Building Tenant Energy Usage Aggregation and Privacy

    SciTech Connect (OSTI)

    Livingston, Olga V.; Pulsipher, Trenton C.; Wang, Na

    2014-11-17

    In a number of cities and states, building owners are required to disclose and/or benchmark their building energy use. This requires the building owner to possess monthly whole-building energy usage information, which can be challenging for buildings in which individual tenants have their own utility meters and accounts with the utility. Some utilities and utility regulators have turned to aggregation of customer data as a way to give building owners the whole-building energy usage data while protecting customer privacy. However, no utilities or regulators appear to have conducted a concerted statistical, cybersecurity, and privacy analysis to justify the level of aggregation selected. Therefore, the Tennant Data Aggregation Task was established to help utilities address these issues and provide recommendations as well as a theoretical justification of the aggregation threshold. This study is focused on the use case of submitting data for ENERGY STAR Portfolio Manager (ESPM), but it also looks at other potential use cases for monthly energy consumption data.

  6. Government works with technology to boost gas output/usage

    SciTech Connect (OSTI)

    Nicoll, H.

    1996-10-01

    Specially treated ethane gas from fields of the Moomba area in the Cooper basin of South Australia now flows freely through 870 mi of interstate gas pipeline to an end-user in Sydney, New South Wales. This unprecedented usage of ethane is the result of a long-term cooperative agreement. The producer sought to provide the end-user with ethane gas for usage as a petrochemical feedstock to manufacture ethylene and plastic goods. The end-user had strict specifications for a low-CO{sub 2}, very dry ethane product with a small percentage of methane. In order to meet these, the producer committed millions of dollars to construct a high-technology, state-of-the-art ethane treatment facility in the Moomba area, and lay an extensive pipeline. Santos also contracted with the amines supplier to provide a high-performance, deep CO{sub 2} removal solvent with good corrosion prevention characteristics. The paper discusses the Moomba field overflow, gas treatment, government cooperation, and project completion.

  7. Usage based indicators to assess the impact of scholarly works: architecture and method

    DOE Patents [OSTI]

    Bollen, Johan; Van De Sompel, Herbert

    2012-03-13

    Although recording of usage data is common in scholarly information services, its exploitation for the creation of value-added services remains limited due to concerns regarding, among others, user privacy, data validity, and the lack of accepted standards for the representation, sharing and aggregation of usage data. A technical, standards-based architecture for sharing usage information is presented. In this architecture, OpenURL-compliant linking servers aggregate usage information of a specific user community as it navigates the distributed information environment that it has access to. This usage information is made OAI-PMH harvestable so that usage information exposed by many linking servers can be aggregated to facilitate the creation of value-added services with a reach beyond that of a single community or a single information service.

  8. Security Implications of Typical Grid Computing Usage Scenarios

    SciTech Connect (OSTI)

    Humphrey, Marty; Thompson, Mary R.

    2001-06-05

    A Computational Grid is a collection of heterogeneous computers and resources spread across multiple administrative domains with the intent of providing users uniform access to these resources. There are many ways to access the resources of a Computational Grid, each with unique security requirements and implications for both the resource user and the resource provider. A comprehensive set of Grid usage scenarios are presented and analyzed with regard to security requirements such as authentication, authorization, integrity, and confidentiality. The main value of these scenarios and the associated security discussions are to provide a library of situations against which an application designer can match, thereby facilitating security-aware application use and development from the initial stages of the application design and invocation. A broader goal of these scenarios are to increase the awareness of security issues in Grid Computing.

  9. Los Alamos National Laboratory Steam Plant Project Usage Data | National

    National Nuclear Security Administration (NNSA)

    Nuclear Security Administration | (NNSA) Usage Data 2 10_SMSI_SteamPlant_ThermalBasis of Analysis-Q1(011514) 2.10_SMSI_ApproxEst$Reconcile-Bechtel2009-SMSI-2013 2.10_SMSI_PipingAnnualR&R-Est_Rev122313 2.10_SMSI_Steam_CombinedEcon_011714_100%(Rev1) 2.10_SMSI_Steam_DistSystemOnlyEcon_011714_100% 2.10_SMSI_Steam_Option1-SteamCapitalEst(No-LANL$'s)_011714_100% 2.10_SMSI-Steam_Option2-HW-CapitalEst(No-LANL$'s)_011714_100% 131209XU50_XURP-LANL-Data_w-CostAlloc_CHP_121213 DOE Complex Experience

  10. Jefferson Lab's Education web site hits new high-usage record during 2003

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

    SOL season | Jefferson Lab web site hits new high-usage record during 2003 SOL season Jefferson Lab's Education web site hits new high-usage record during 2003 SOL season April 2, 2003 Jefferson Lab's Science Education web site is hitting new highs in usage - on a daily basis. Just yesterday - in a 24-hour-period - nearly 212,000 pages were viewed, according to Steve Gagnon, JLab Science Education technician. "It has been exciting to see the level of use our web site has gotten

  11. Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics...

    Office of Scientific and Technical Information (OSTI)

    Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics Model Earl D. Mattson; Larry Hull; Kara Cafferty 02 PETROLEUM Water Water A system dynamic model was construction...

  12. API for current energy usage data per consumer | OpenEI Community

    Open Energy Info (EERE)

    API for current energy usage data per consumer Home > Groups > Developer Hello, I'm a web application developer working on an app to determine an individuals environmental impact,...

  13. Enhanced BMP signaling results in supernumerary tooth formation in USAG-1 deficient mouse

    SciTech Connect (OSTI)

    Murashima-Suginami, Akiko; Takahashi, Katsu Sakata, Tomoko; Tsukamoto, Hiroko; Sugai, Manabu; Yanagita, Motoko; Shimizu, Akira; Sakurai, Takeshi; Slavkin, Harold C.; Bessho, Kazuhisa

    2008-05-16

    Uterine sensitization associated gene-1 (USAG-1) is a BMP antagonist, and also modulates Wnt signaling. We previously reported that USAG-1 deficient mice have supernumerary teeth. The supernumerary maxillary incisor appears to form as a result of the successive development of the rudimentary upper incisor. USAG-1 abrogation rescued apoptotic elimination of odontogenic mesenchymal cells. We confirmed that BMPs were expressed in both the epithelium and mesenchyme of the rudimentary incisor at E14 and E15. BMP signaling in the rudimentary maxillary incisor, assessed by expressions of Msx1 and Dlx2 and the phosphorylation of Smad protein, was significantly enhanced. Wnt signaling as demonstrated by the nuclear localization of {beta}-catenin was also up-regulated. Inhibition of BMP signaling rescues supernumerary tooth formation in E15 incisor explant culture. Based upon these results, we conclude that enhanced BMP signaling results in supernumerary teeth and BMP signaling was modulated by Wnt signaling in the USAG-1 deficient mouse model.

  14. Commercial Building Tenant Energy Usage Data Aggregation and Privacy: Technical Appendix

    SciTech Connect (OSTI)

    Livingston, Olga V.; Pulsipher, Trenton C.; Anderson, David M.

    2014-11-12

    This technical appendix accompanies report PNNL–23786 “Commercial Building Tenant Energy Usage Data Aggregation and Privacy”. The objective is to provide background information on the methods utilized in the statistical analysis of the aggregation thresholds.

  15. Y-12 reduces water usage and wins award | National Nuclear Security...

    National Nuclear Security Administration (NNSA)

    reduces water usage and wins award Tuesday, January 5, 2016 - 12:00am NNSA Blog From left: ... Byrd, Gary Guge and Jake Thompson were instrumental in protecting Y-12 water quality. ...

  16. Issues in International Energy Consumption Analysis: Electricity Usage in Indias Housing Sector

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

    Issues in International Energy Consumption Analysis: Electricity Usage in India's Housing Sector November 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Issues in International Energy Consumption Analysis: Electricity Usage in India's Housing Sector i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of

  17. "Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"

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

    3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Lighting Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between

  18. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region, 2005"

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

    3 Lighting Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Lighting Usage Indicators",,,"East North Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Indoor Lights Turned On During Summer" "Number of Lights Turned On"

  19. "Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"

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

    3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Lighting Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights

  20. "Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"

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

    3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Lighting Usage Indicators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per

  1. Video game console usage and US national energy consumption: Results from a field-metering study

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

    Desroches, Louis-Benoit; Greenblatt, Jeffery B.; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah K.; Young, Scott J.; Donovan, Sally M.; et al

    2014-10-23

    There has been an increased in attention placed on the energy consumption of miscellaneous electronic loads in buildings by energy analysts and policymakers in recent years. The share of electricity consumed by consumer electronics in US households has increased in the last decade. Many devices, however, lack robust energy use data, making energy consumption estimates difficult and uncertain. Video game consoles are high-performance machines present in approximately half of all households and can consume a considerable amount of power. The precise usage of game consoles has significant uncertainty, however, leading to a wide range of recent national energy consumption estimates.more » We present here an analysis based on field-metered usage data, collected as part of a larger field metering study in the USA. This larger study collected data from 880 households in 2012 on a variety of devices, including 113 game consoles (the majority of which are Generation 7 consoles). From our metering, we find that although some consoles are left on nearly 24 h/day, the overall average usage is lower than many other studies have assumed, leading to a US national energy consumption estimate of 7.1 TWh in 2012. Nevertheless, there is an opportunity to reduce energy use with proper game console power management, as a substantial amount of game console usage occurs with the television turned off. The emergence of Generation 8 consoles may increase national energy consumption.« less

  2. Video game console usage and US national energy consumption: Results from a field-metering study

    SciTech Connect (OSTI)

    Desroches, Louis-Benoit; Greenblatt, Jeffery B.; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah K.; Young, Scott J.; Donovan, Sally M.; Ganeshalingam, Mohan

    2014-10-23

    There has been an increased in attention placed on the energy consumption of miscellaneous electronic loads in buildings by energy analysts and policymakers in recent years. The share of electricity consumed by consumer electronics in US households has increased in the last decade. Many devices, however, lack robust energy use data, making energy consumption estimates difficult and uncertain. Video game consoles are high-performance machines present in approximately half of all households and can consume a considerable amount of power. The precise usage of game consoles has significant uncertainty, however, leading to a wide range of recent national energy consumption estimates. We present here an analysis based on field-metered usage data, collected as part of a larger field metering study in the USA. This larger study collected data from 880 households in 2012 on a variety of devices, including 113 game consoles (the majority of which are Generation 7 consoles). From our metering, we find that although some consoles are left on nearly 24 h/day, the overall average usage is lower than many other studies have assumed, leading to a US national energy consumption estimate of 7.1 TWh in 2012. Nevertheless, there is an opportunity to reduce energy use with proper game console power management, as a substantial amount of game console usage occurs with the television turned off. The emergence of Generation 8 consoles may increase national energy consumption.

  3. Usage Reports

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

    See queue wait times, hours used, top users and other summary statistics for jobs run at NERSC (login required). Read More Parallel Job Statistics rest... Read More Edison ...

  4. HTAR Usage

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

    To specify what HPSS username to use set the HPSSPRINCIPAL environmental variable: % env HPSSPRINCIPALusername htar -cf nova.tar nova To list the member files of nova.tar type: ...

  5. HSI Usage

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

    rmdir Delete an HPSS directory Local File and Directory Commands Command Function lcd Change local directory lls List local directory lmkdir Make a local directory lpwd...

  6. "Table HC9.5 Space Heating Usage Indicators by Climate Zone, 2005"

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

    5 Space Heating Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000 HDD" ,"Housing Units (millions)" ,,"Greater than 7,000 HDD","5,500 to 7,000 HDD","4,000 to 5,499 HDD","Less than 4,000 HDD" "Space Heating Usage Indicators" "Total U.S. Housing

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

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

    5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005

  8. Relative concordance of human immunodeficiency virus oligomeric and monomeric envelope in CCR5 coreceptor usage

    SciTech Connect (OSTI)

    Teeravechyan, Samaporn; Suphaphiphat, Pirada; Essex, Max; Lee, Tun-Hou

    2008-01-20

    A major difference between binding and fusion assays commonly used to study the human immunodeficiency virus (HIV) envelope is the use of monomeric envelope for the former assay and oligomeric envelope for the latter. Due to discrepancies in their readouts for some mutants, envelope regions involved in CCR5 coreceptor usage were systematically studied to determine whether the discordance is due to inherent differences between the two assays or whether it genuinely reflects functional differences at each entry step. By adding the binding inhibitor TAK-779 to delay coreceptor binding kinetics in the fusion assay, the readouts were found comparable between the assays for the mutants analysed in this study. Our finding indicates that monomeric binding reflects oligomeric envelope-CCR5 interaction, thus discordant results between binding and fusion assays do not necessarily indicate differences in coreceptor usage by oligomeric envelope and monomeric gp120.

  9. Determination of usage patterns and emissions for propane/LPG in California. Final report

    SciTech Connect (OSTI)

    Sullivan, M.

    1992-05-01

    The purpose of the study was to determine California usage patterns of Liquified Petroleum Gas (LPG), and to estimate propane emissions resulting from LPG transfer operations statewide, and by county and air basin. The study is the first attempt to quantify LPG transfer emissions for California. This was accomplished by analyzing data from a telephone survey of California businesses that use LPG, by extracting information from existing databases.

  10. Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005

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

    0 Home Appliances Usage Indicators by Four Most Populated States, 2005 Total.................................................................................... 111.1 7.1 7.0 8.0 12.1 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 0.6 0.5 0.8 1.4 2 Times A Day.............................................................. 24.6 1.4 1.5 2.0 3.1 Once a Day...................................................................

  11. DOE's Gasoline/Diesel PM Split Study | Department of Energy

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

    Gasoline/Diesel PM Split Study DOE's Gasoline/Diesel PM Split Study 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters 2005_deer_fujita.pdf (187.6 KB) More Documents & Publications DOE's Gasoline/Diesel PM Split Study DOE's Gasoline/Diesel PM Split Study Weekend/Weekday Ozone Study in the South Coast Air Basin

  12. " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"

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

    2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," ",,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed

  13. " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"

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

    2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel

  14. " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"

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

    2 Number of Establishments by Usage of General Energy-Saving Technologies, 2010;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel

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

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

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

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

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

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

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

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

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

  18. Lessons Learned from Dependency Usage in HERA: Implications for THERP-Related HRA Methods

    SciTech Connect (OSTI)

    April M. Whaley; Ronald L. Boring; Harold S. Blackman; Patrick H. McCabe; Bruce P. Hallbert

    2007-08-01

    Dependency occurs when the probability of success or failure on one action changes the probability of success or failure on a subsequent action. Dependency may serve as a modifier on the human error probabilities (HEPs) for successive actions in human reliability analysis (HRA) models. Discretion should be employed when determining whether or not a dependency calculation is warranted: dependency should not be assigned without strongly grounded reasons. Human reliability analysts may sometimes assign dependency in cases where it is unwarranted. This inappropriate assignment is attributed to a lack of clear guidance to encompass the range of scenarios human reliability analysts are addressing. Inappropriate assignment of dependency produces inappropriately elevated HEP values. Lessons learned about dependency usage in the Human Event Repository and Analysis (HERA) system may provide clarification and guidance for analysts using first-generation HRA methods. This paper presents the HERA approach to dependency assessment and discusses considerations for dependency usage in HRA, including the cognitive basis for dependency, direction for determining when dependency should be assessed, considerations for determining the dependency level, temporal issues to consider when assessing dependency, (e.g., considering task sequence versus overall event sequence, and dependency over long periods of time), and diagnosis and action influences on dependency.

  19. Usage of Electric Vehicle Supply Equipment Along the Corridors between the EV Project Major Cities

    SciTech Connect (OSTI)

    Mindy Kirkpatrick

    2012-05-01

    The report explains how the EVSE are being used along the corridors between the EV Project cities. The EV Project consists of a nationwide collaboration between Idaho National Laboratory (INL), ECOtality North America, Nissan, General Motors, and more than 40 other city, regional and state governments, and electric utilities. The purpose of the EV Project is to demonstrate the deployment and use of approximately 14,000 Level II (208-240V) electric vehicle supply equipment (EVSE) and 300 fast chargers in 16 major cities. This research investigates the usage of all currently installed EV Project commercial EVSE along major interstate corridors. ESRI ArcMap software products are utilized to create geographic EVSE data layers for analysis and visualization of commercial EVSE usage. This research locates the crucial interstate corridors lacking sufficient commercial EVSE and targets locations for future commercial EVSE placement. The results and methods introduced in this research will be used by INL for the duration of the EV Project.

  20. Prolonged cold storage of red blood cells by oxygen removal and additive usage

    DOE Patents [OSTI]

    Bitensky, M.W.; Yoshida, Tatsuro

    1998-08-04

    Prolonged cold storage of red blood cells by oxygen removal and additive usage. A cost-effective, 4 C storage procedure that preserves red cell quality and prolongs post-transfusion in vivo survival is described. The improved in vivo survival and the preservation of adenosine triphosphate levels, along with reduction in hemolysis and membrane vesicle production of red blood cells stored at 4 C for prolonged periods of time, is achieved by reducing the oxygen level therein at the time of storage; in particular, by flushing the cells with an inert gas, and storing them in an aqueous solution which includes adenine, dextrose, mannitol, citrate ion, and dihydrogen phosphate ion, but no sodium chloride, in an oxygen-permeable container which is located in an oxygen-free environment containing oxygen-scavenging materials. 8 figs.

  1. Prolonged cold storage of red blood cells by oxygen removal and additive usage

    DOE Patents [OSTI]

    Bitensky, Mark W.; Yoshida, Tatsuro

    1998-01-01

    Prolonged cold storage of red blood cells by oxygen removal and additive usage. A cost-effective, 4.degree. C. storage procedure that preserves red cell quality and prolongs post-transfusion in vivo survival is described. The improved in vivo survival and the preservation of adenosine triphosphate levels, along with reduction in hemolysis and membrane vesicle production of red blood cells stored at 4.degree. C. for prolonged periods of time, is achieved by reducing the oxygen level therein at the time of storage; in particular, by flushing the cells with an inert gas, and storing them in an aqueous solution which includes adenine, dextrose, mannitol, citrate ion, and dihydrogen phosphate ion, but no sodium chloride, in an oxygen-permeable container which is located in an oxygen-free environment containing oxygen-scavenging materials.

  2. "Table HC9.10 Home Appliances Usage Indicators by Climate Zone, 2005"

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

    0 Home Appliances Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000 HDD" ,"Housing Units (millions)" ,,"Greater than 7,000 HDD","5,500 to 7,000 HDD","4,000 to 5,499 HDD","Less than 4,000 HDD" "Home Appliances Characteristics" "Total",111.1,10.9,26.1,27.3,24,22.8

  3. Buildings Energy Data Book: 8.5 Federal Government Water Usage

    Buildings Energy Data Book [EERE]

    5 Federal Government Water Usage March 2012 8.5.1 Federal Water Consumption Intensity and Costs (Millions of Gallons) Agency Total Source(s): 164,382.9 536,301.9 3,129,134.9 52.5 FEMP, Annual Report to Congress on Federal Government Energy Management and Conservation Programs FY 2007, Table 9, p. 26, Jan. 2010. HUD 21.8 139.1 1,432.0 15.2 RRB 5.5 19.5 346.9 15.9 SSA 125.0 617.1 9,262.0 13.5 Archives 107.9 552.9 4,062.0 26.6 State 169.0 762.2 4,476.7 37.8 EPA 168.1 1,196.0 3,723.3 45.2 Treasury

  4. "Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"

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

    0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Appliances Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,1.2,1.4,3,2.6 "2 Times A

  5. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"

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

    3 Lighting Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Lighting Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per

  6. "Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"

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

    5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Space Heating

  7. "Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"

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

    0 Home Appliances Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ," U.S. Housing Units (millions) " ,,,"Census Division" ,,"Total Northeast" "Home Appliances Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A

  8. "Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"

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

    5 Space Heating Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Space Heating Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Do Not Have Heating Equipment",1.2,"Q","Q","Q"

  9. "Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005"

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

    0 Home Appliances Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Appliances Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A

  10. "Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"

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

    5 Space Heating Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Usage Indicators",,,"East North Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Do Not Have Heating Equipment",1.2,"Q","Q","N"

  11. "Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"

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

    0 Home Appliances Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Appliances Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked"

  12. "Table HC13.5 Space Heating Usage Indicators by South Census Region, 2005"

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

    5 Space Heating Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Space Heating Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Do Not Have Heating

  13. "Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"

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

    0 Home Appliances Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Appliances Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.6,0.7,1.9 "2

  14. "Table HC14.5 Space Heating Usage Indicators by West Census Region, 2005"

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

    5 Space Heating Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Space Heating Usage Indicators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Do Not Have Heating Equipment",1.2,0.7,"Q",0.7 "Have Space Heating

  15. "Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005"

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

    0 Home Appliances Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Home Appliances Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,0.6,0.5,0.8,1.4 "2 Times

  16. "Table HC15.13 Lighting Usage Indicators by Four Most Populated States, 2005"

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

    3 Lighting Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Lighting Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per

  17. "Table HC15.5 Space Heating Usage Indicators by Four Most Populated States, 2005"

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

    5 Space Heating Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Space Heating Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.2 "Have Space Heating

  18. "Table HC3.10 Home Appliances Usage Indicators by Owner-Occupied Housing Unit, 2005"

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

    0 Home Appliances Usage Indicators by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Home Appliances Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile

  19. "Table HC3.13 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005"

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

    3 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Lighting Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes"

  20. "Table HC3.5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005"

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

    5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile

  1. "Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005"

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

    0 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Home Appliances Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile

  2. "Table HC4.13 Lighting Usage Indicators by Renter-Occupied Housing Unit Zone, 2005"

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

    3 Lighting Usage Indicators by Renter-Occupied Housing Unit Zone, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Lighting Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile

  3. "Table HC4.5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005"

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

    5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile

  4. "Table HC8.10 Home Appliances Usage Indicators by Urban/Rural Location, 2005"

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

    0 Home Appliances Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Home Appliances Usage Indicators",,"City","Town","Suburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,3.7,1.6,1.4,1.5 "2

  5. "Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location, 2005"

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

    5 Space Heating Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Space Heating Usage Indicators",,"City","Town","Suburbs","Rural" "Total U.S. Housing Units",111.1,47.1,19,22.7,22.3 "Do Not Have Heating Equipment",1.2,0.7,"Q",0.2,"Q" "Have Space Heating

  6. Computer usage and national energy consumption: Results from a field-metering study

    SciTech Connect (OSTI)

    Desroches, Louis-Benoit; Fuchs, Heidi; Greenblatt, Jeffery; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah; Young, Scott

    2014-12-01

    The electricity consumption of miscellaneous electronic loads (MELs) in the home has grown in recent years, and is expected to continue rising. Consumer electronics, in particular, are characterized by swift technological innovation, with varying impacts on energy use. Desktop and laptop computers make up a significant share of MELs electricity consumption, but their national energy use is difficult to estimate, given uncertainties around shifting user behavior. This report analyzes usage data from 64 computers (45 desktop, 11 laptop, and 8 unknown) collected in 2012 as part of a larger field monitoring effort of 880 households in the San Francisco Bay Area, and compares our results to recent values from the literature. We find that desktop computers are used for an average of 7.3 hours per day (median = 4.2 h/d), while laptops are used for a mean 4.8 hours per day (median = 2.1 h/d). The results for laptops are likely underestimated since they can be charged in other, unmetered outlets. Average unit annual energy consumption (AEC) for desktops is estimated to be 194 kWh/yr (median = 125 kWh/yr), and for laptops 75 kWh/yr (median = 31 kWh/yr). We estimate national annual energy consumption for desktop computers to be 20 TWh. National annual energy use for laptops is estimated to be 11 TWh, markedly higher than previous estimates, likely reflective of laptops drawing more power in On mode in addition to greater market penetration. This result for laptops, however, carries relatively higher uncertainty compared to desktops. Different study methodologies and definitions, changing usage patterns, and uncertainty about how consumers use computers must be considered when interpreting our results with respect to existing analyses. Finally, as energy consumption in On mode is predominant, we outline several energy savings opportunities: improved power management (defaulting to low-power modes after periods of inactivity as well as power scaling), matching the rated power

  7. CDF GlideinWMS usage in grid computing of high energy physics

    SciTech Connect (OSTI)

    Zvada, Marian; Benjamin, Doug; Sfiligoi, Igor; /Fermilab

    2010-01-01

    Many members of large science collaborations already have specialized grids available to advance their research in the need of getting more computing resources for data analysis. This has forced the Collider Detector at Fermilab (CDF) collaboration to move beyond the usage of dedicated resources and start exploiting Grid resources. Nowadays, CDF experiment is increasingly relying on glidein-based computing pools for data reconstruction. Especially, Monte Carlo production and user data analysis, serving over 400 users by central analysis farm middleware (CAF) on the top of Condor batch system and CDF Grid infrastructure. Condor is designed as distributed architecture and its glidein mechanism of pilot jobs is ideal for abstracting the Grid computing by making a virtual private computing pool. We would like to present the first production use of the generic pilot-based Workload Management System (glideinWMS), which is an implementation of the pilot mechanism based on the Condor distributed infrastructure. CDF Grid computing uses glideinWMS for its data reconstruction on the FNAL campus Grid, user analysis and Monte Carlo production across Open Science Grid (OSG). We review this computing model and setup used including CDF specific configuration within the glideinWMS system which provides powerful scalability and makes Grid computing working like in a local batch environment with ability to handle more than 10000 running jobs at a time.

  8. Characterization of population and usage of unvented kerosene space heaters. Final report, May 1988-January 1989

    SciTech Connect (OSTI)

    Barnes, J.; Holland, P.; Mihlmester, P.

    1990-01-01

    The report gives results of a study of the market penetration of unvented kerosene space heaters (UKSHs) in the residential sector. The study was aimed at gathering baseline information to help assess the magnitude and potential severity of a problem involving emissions from unvented appliances, one of a number of synergistic factors affecting indoor air quality. UKSHs can be a significant source of such emissions. UKSH usage patterns were also investigated. Annual sales of UKSHs are estimated at 825,000 units. Leading brands include convective units marketed by Toyotomi USA (kero-Sun) and Corona USA. Some units contain built-in catalytic filters for odor control. Add-on catalytic filters are available from at least one manufacturer. It is believed that 15-17 million portable UKSHs have been sold in the U.S. since the early 1970s. However, it is estimated that, in the 1986-87 heating season, there were only about 7 million units in use. About half of these units are in the South. Depending on whether UKSHs are used as primary or secondary heating sources, they may be used anywhere from 1 to 17 hours a day. Eighty percent of UKSHs are used in multi-family dwellings and mobile homes.

  9. JacketSE: An Offshore Wind Turbine Jacket Sizing Tool: Theory Manual and Sample Usage with Preliminary Validation

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

    JacketSE: An Offshore Wind Turbine Jacket Sizing Tool Theory Manual and Sample Usage with Preliminary Validation Rick Damiani National Renewable Energy Laboratory Technical Report NREL/TP-5000-65417 February 2016 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications.

  10. Analyzing the Impact of Residential Building Attributes, Demographic and Behavioral Factors on Natural Gas Usage

    SciTech Connect (OSTI)

    Livingston, Olga V.; Cort, Katherine A.

    2011-03-03

    attempts to bridge that gap by analyzing behavioral data and investigate the applicability of additive nonparametric regression to this task. This study evaluates the impact of 31 regressors on residential natural gas usage. The regressors include weather, economic variables, demographic and behavioral characteristics, and building attributes related to energy use. In general, most of the regression results were in line with previous engineering and economic studies in this area. There were, however, some counterintuitive results, particularly with regard to thermostat controls and behaviors. There are a number of possible reasons for these counterintuitive results including the inability to control for regional climate variability due to the data sanitization (to prevent identification of respondents), inaccurate data caused by to self-reporting, and the fact that not all relevant behavioral variables were included in the data set, so we were not able to control for them in the study. The results of this analysis could be used as an in-sample prediction for approximating energy demand of a residential building whose characteristics are described by the regressors in this analysis, but a certain combination of their particular values does not exist in the real world. In addition, this study has potential applications for benefit-cost analysis of residential upgrades and retrofits under a fixed budget, because the results of this study contain information on how natural gas consumption might change once a particular characteristic or attribute is altered. Finally, the results of this study can help establish a relationship between natural gas consumption and changes in behavior of occupants.

  11. History of the FreedomCAR Environmental Science and Health Impacts Activity

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

    | Department of Energy History of the FreedomCAR Environmental Science and Health Impacts Activity History of the FreedomCAR Environmental Science and Health Impacts Activity 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: U.S. Department of Energy 2004_deer_eberhardt.pdf (396.93 KB) More Documents & Publications Diesel Injection Shear-Stress Advanced Nozzle (DISSAN) Weekend/Weekday Ozone Study in the South Coast Air Basin The FreedomCAR & Vehicle Technologies

  12. DOE Commercial Building Energy Asset Score: Software Development for Phase

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

    II Building Types | Department of Energy Score: Software Development for Phase II Building Types DOE Commercial Building Energy Asset Score: Software Development for Phase II Building Types DOE Commercial Building Energy Asset Score: Software Development for Phase II Building Types asset_score_assumptions_july_2013.pdf (534.26 KB) More Documents & Publications Weekend/Weekday Ozone Study in the South Coast Air Basin Users Perspective on Advanced Fuel Cell Bus Technology Vehicle

  13. High-Resolution Residential Feeder Load Characterization and Variability Modelling

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

    Residential Feeder Load Characterization and Variability Modelling Andrew Pohl, Jay Johnson, Santiago Sena, Robert Broderick, and Jimmy Quiroz Sandia National Laboratories, Albuquerque, NM, 87185, USA Abstract - Data from of a highly instrumented residential feeder in Ota City, Japan was used to determine 1 second load variability for the aggregation of 50, 100, 250, and 500 homes. The load variability is categorized by binning the data into seasons, weekdays vs. weekends, and time of day to

  14. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    Energy Usage Charge Structure Weekend Schedule. Value is an array of arrays. The 12 top-level arrays correspond to a month of the year. Each month array contains one integer per...

  15. Summary of treatment, storage, and disposal facility usage data collected from U.S. Department of Energy sites

    SciTech Connect (OSTI)

    Jacobs, A.; Oswald, K.; Trump, C.

    1995-04-01

    This report presents an analysis for the US Department of Energy (DOE) to determine the level and extent of treatment, storage, and disposal facility (TSDF) assessment duplication. Commercial TSDFs are used as an integral part of the hazardous waste management process for those DOE sites that generate hazardous waste. Data regarding the DOE sites` usage have been extracted from three sets of data and analyzed in this report. The data are presented both qualitatively and quantitatively, as appropriate. This information provides the basis for further analysis of assessment duplication to be documented in issue papers as appropriate. Once the issues have been identified and adequately defined, corrective measures will be proposed and subsequently implemented.

  16. Plant Wide Assessment of Energy Usage Utilizing SitEModelling as a Tool for Optimizing Energy Consumption

    SciTech Connect (OSTI)

    Ralf Janowsky, Ph.D.; Tracey Mole, Ph.D.

    2007-12-31

    The Evonik Degussa Corporation is the global market leader in the specialty chemicals industry. Innovative products and system solutions make an indispensable contribution to our customers' success. We refer to this as "creating essentials". In fiscal 2004, Degussa's 45,000 employees worldwide generated sales of 11.2 billion euros and operating profits (EBIT) of 965 million euros. Evonik Degussa Corporation has performed a plant wide energy usage assessment at the Mapleton, Illinois facility, which consumed 1,182,330 MMBTU in 2003. The purpose of this study was to identify opportunities for improvement regarding the plant’s utility requirements specific to their operation. The production is based mainly on natural gas usage for steam, process heating and hydrogen production. The current high price for natural gas in the US is not very competitive compared to other countries. Therefore, all efforts must be taken to minimize the utility consumption in order to maximize market position and minimize fixed cost increases due to the rising costs of energy. The main objective of this plant wide assessment was to use a methodology called Site Energy Modelling (SitE Modelling) to identify areas of potential improvement for energy savings, either in implementing a single process change or in changing the way different processes interact with each other. The overall goal was to achieve energy savings of more than 10% compared to the 2003 energy figures of the Mapleton site. The final savings breakdown is provided below: - 4.1% savings for steam generation and delivery These savings were accomplished through better control schemes, more constant and optimized loading of the boilers and increased boiler efficiency through an advanced control schemes. - 1.6% savings for plant chemical processing These saving were accomplished through optimized processing heating efficiency and batch recipes, as well as an optimized production schedule to help equalize the boiler load (e

  17. Labor Day Weekend 2015 | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    "Mission First, People Always" SRS emergency training SRS emergency training Trident laser facility at LANL Trident laser facility at LANL NNSA Blog Nevada National Security Site ...

  18. After-hours, weekend changes through East Jemez road vehicle...

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

    bicyclists must stop at the center lane guard post and proceed only upon verbal or hand-signal direction from a LANL protective force officer. Orange traffic safety cones will be...

  19. A review on technologies and their usage in solid waste monitoring and management systems: Issues and challenges

    SciTech Connect (OSTI)

    Hannan, M.A.; Abdulla Al Mamun, Md.; Hussain, Aini; Basri, Hassan; Begum, R.A.

    2015-09-15

    Highlights: • Classification of available technologies for SWM system in four core category. • Organization of technology based SWM systems in three main groups. • Summary of SWM systems with target application, methodology and functional domain. • Issues and challenges are highlighted for further design of a sustainable system. - Abstract: In the backdrop of prompt advancement, information and communication technology (ICT) has become an inevitable part to plan and design of modern solid waste management (SWM) systems. This study presents a critical review of the existing ICTs and their usage in SWM systems to unfold the issues and challenges towards using integrated technologies based system. To plan, monitor, collect and manage solid waste, the ICTs are divided into four categories such as spatial technologies, identification technologies, data acquisition technologies and data communication technologies. The ICT based SWM systems classified in this paper are based on the first three technologies while the forth one is employed by almost every systems. This review may guide the reader about the basics of available ICTs and their application in SWM to facilitate the search for planning and design of a sustainable new system.

  20. Model of Procedure Usage – Results from a Qualitative Study to Inform Design of Computer-Based Procedures

    SciTech Connect (OSTI)

    Johanna H Oxstrand; Katya L Le Blanc

    2012-07-01

    The nuclear industry is constantly trying to find ways to decrease the human error rate, especially the human errors associated with procedure use. As a step toward the goal of improving procedure use performance, researchers, together with the nuclear industry, have been looking at replacing the current paper-based procedures with computer-based procedure systems. The concept of computer-based procedures is not new by any means; however most research has focused on procedures used in the main control room. Procedures reviewed in these efforts are mainly emergency operating procedures and normal operating procedures. Based on lessons learned for these previous efforts we are now exploring a more unknown application for computer based procedures - field procedures, i.e. procedures used by nuclear equipment operators and maintenance technicians. The Idaho National Laboratory, the Institute for Energy Technology, and participants from the U.S. commercial nuclear industry are collaborating in an applied research effort with the objective of developing requirements and specifications for a computer-based procedure system to be used by field operators. The goal is to identify the types of human errors that can be mitigated by using computer-based procedures and how to best design the computer-based procedures to do this. The underlying philosophy in the research effort is “Stop – Start – Continue”, i.e. what features from the use of paper-based procedures should we not incorporate (Stop), what should we keep (Continue), and what new features or work processes should be added (Start). One step in identifying the Stop – Start – Continue was to conduct a baseline study where affordances related to the current usage of paper-based procedures were identified. The purpose of the study was to develop a model of paper based procedure use which will help to identify desirable features for computer based procedure prototypes. Affordances such as note taking, markups

  1. Miniaturized Analytical Platforms From Nanoparticle Components: Studies in the Construction, Characterization, and High-Throughput Usage of These Novel Architectures

    SciTech Connect (OSTI)

    Andrew David Pris

    2003-08-05

    exhibiting a variety of surface chemistries and attempts to deconvolute general adsorption rules for their assembly on various substrates. Chapter 2 extends the usage of self-assembly of polymeric nanoparticles through a layer-by-layer deposition concept and photolithography methodologies to create analytical platforms with a vertical height controlled within the nanometer regime. This platform is then furthered in Chapter 3 by employing this integrated concept as a bio-recognition platform, with the extension of the method to a high-throughput screening system explored. Chapter 4 exploits two different types of nanoparticles, silica and gold, as multiplexed, self-assembled immunoassay sensors. This final research chapter is followed by a general summation and future prospectus section that concludes the dissertation.

  2. Office of FreedomCAR and Vehicle Technologies Health Impacts Program (Poster)

    SciTech Connect (OSTI)

    Lawson, D. R.; Eberhardt, J. J.

    2006-08-01

    We evaluated day-of-week differences in mean concentrations of ozone precursors [nitric oxide (NO), nitrogen oxides (NOx), volatile organic compounds (VOC) and carbon monoxide (CO)] at monitoring sites in 23 states comprising seven geographic focus areas for the years 1998-2003. We used Wednesdays to represent weekdays and Sundays to represent weekends; we also analyzed Saturdays. Statistical t-tests applied to every monitor showed substantial and statistically significant differences between Wednesday and weekend mean concentrations of ozone precursors in all study areas. At half the sites, nine-hour (6 am through 3 pm) mean concentrations of NO, NOx, and CO declined by at least 65, 49, and 28 percent, respectively, from Wednesdays to Sundays. Large reductions in mean concentrations of ozone precursors on weekends did not reduce mean concentrations of peak ozone significantly, and in many areas, mean peak ozone increased on weekends. Ozone accumulation began earlier on Sundays than on Wednesdays, on average. We also evaluated day-of-week differences in mean concentrations of fine particle and nitrate at available monitoring sites for the same time period and same geographic focus areas. Based on the monitors differences in Wednesday and Sunday means, PM nitrate showed almost negligible weekend decline, despite large NO and NOx declines.

  3. Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release Version 1.1

    SciTech Connect (OSTI)

    Vigil,Benny Manuel; Ballance, Robert; Haskell, Karen

    2012-08-09

    Cielo is a massively parallel supercomputer funded by the DOE/NNSA Advanced Simulation and Computing (ASC) program, and operated by the Alliance for Computing at Extreme Scale (ACES), a partnership between Los Alamos National Laboratory (LANL) and Sandia National Laboratories (SNL). The primary Cielo compute platform is physically located at Los Alamos National Laboratory. This Cielo Computational Environment Usage Model documents the capabilities and the environment to be provided for the Q1 FY12 Level 2 Cielo Capability Computing (CCC) Platform Production Readiness Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Lawrence Livermore National Laboratory (LLNL), Los Alamos National Laboratory, or Sandia National Laboratories, but also addresses the needs of users working in the unclassified environment. The Cielo Computational Environment Usage Model maps the provided capabilities to the tri-Lab ASC Computing Environment (ACE) Version 8.0 requirements. The ACE requirements reflect the high performance computing requirements for the Production Readiness Milestone user environment capabilities of the ASC community. A description of ACE requirements met, and those requirements that are not met, are included in each section of this document. The Cielo Computing Environment, along with the ACE mappings, has been issued and reviewed throughout the tri-Lab community.

  4. Microsoft Word - CR-AH Policy.doc

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

    After-Hours Policy Original: 11/04 Revised: 2//05 CAMD strives to maintain and improve laboratory and User safety along with User efficiency. After- Hours work inside the cleanroom (CR-AH) is an access privilege that requires deliberate selection of requested Users to maintain a safe, productive environment. * Workdays = 7am - 10pm weekdays * After-Hours = 10pm - 7am workdays + all hours on weekends + all hours of LSU Staff holidays. After-Hours Access Request * Cleanroom-trained Users can apply

  5. Variability of Battery Wear in Light Duty Plug-In Electric Vehicles Subject to Ambient Temperature, Battery Size, and Consumer Usage: Preprint

    SciTech Connect (OSTI)

    Wood, E.; Neubauer, J.; Brooker, A. D.; Gonder, J.; Smith, K. A.

    2012-08-01

    Battery wear in plug-in electric vehicles (PEVs) is a complex function of ambient temperature, battery size, and disparate usage. Simulations capturing varying ambient temperature profiles, battery sizes, and driving patterns are of great value to battery and vehicle manufacturers. A predictive battery wear model developed by the National Renewable Energy Laboratory captures the effects of multiple cycling and storage conditions in a representative lithium chemistry. The sensitivity of battery wear rates to ambient conditions, maximum allowable depth-of-discharge, and vehicle miles travelled is explored for two midsize vehicles: a battery electric vehicle (BEV) with a nominal range of 75 mi (121 km) and a plug-in hybrid electric vehicle (PHEV) with a nominal charge-depleting range of 40 mi (64 km). Driving distance distributions represent the variability of vehicle use, both vehicle-to-vehicle and day-to-day. Battery wear over an 8-year period was dominated by ambient conditions for the BEV with capacity fade ranging from 19% to 32% while the PHEV was most sensitive to maximum allowable depth-of-discharge with capacity fade ranging from 16% to 24%. The BEV and PHEV were comparable in terms of petroleum displacement potential after 8 years of service, due to the BEV?s limited utility for accomplishing long trips.

  6. Usage by Job Size Table

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

    Training & Tutorials Software Policies User Surveys NERSC Users Group Help Staff Blogs Request Repository Mailing List Need Help? Out-of-hours Status and Password help Call ...

  7. S:\VM3\RX97\TBL_LIST.WPD [PFP#201331587]

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

    b. Usage Indicators by Four Most Populated States, Percent of U.S. Households, 1997 Usage Indicators RSE Column Factor: Total Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.2 1.1 1.3 1.5 Total .............................................................. 100.0 100.0 100.0 100.0 100.0 0.0 Weekday Home Activities Home Used for Business Yes ............................................................ 7.2 7.4 7.5 6.0 6.4 13.5 No

  8. Scoping Study for Demand Respose DFT II Project in Morgantown, WV

    SciTech Connect (OSTI)

    Lu, Shuai; Kintner-Meyer, Michael CW

    2008-06-06

    This scoping study describes the underlying data resources and an analysis tool for a demand response assessment specifically tailored toward the needs of the Modern Grid Initiatives Demonstration Field Test in Phase II in Morgantown, WV. To develop demand response strategies as part of more general distribution automation, automated islanding and feeder reconfiguration schemes, an assessment of the demand response resource potential is required. This report provides the data for the resource assessment for residential customers and describes a tool that allows the analyst to estimate demand response in kW for each hour of the day, by end-use, season, day type (weekday versus weekend) with specific saturation rates of residential appliances valid for the Morgantown, WV area.

  9. Ethanol Production for Automotive Fuel Usage

    SciTech Connect (OSTI)

    Lindemuth, T.E.; Stenzel, R.A.; Yim, Y.J.; Yu, J.

    1980-01-31

    The conceptual design of the 20 million gallon per year anhydrous ethanol facility a t Raft River has been completed. The corresponding geothermal gathering, extraction and reinjection systems to supply the process heating requirement were also completed. The ethanol facility operating on sugar beets, potatoes and wheat will share common fermentation and product recovery equipment. The geothermal fluid requirement will be approximately 6,000 gpm. It is anticipated that this flow will be supplied by 9 supply wells spaced at no closer than 1/4 mile in order to prevent mutual interferences. The geothermal fluid will be flashed in three stages to supply process steam at 250 F, 225 F and 205 F for various process needs. Steam condensate plus liquid remaining after the third flash will all be reinjected through 9 reinjection wells. The capital cost estimated for this ethanol plant employing all three feedstocks is $64 million. If only a single feedstock were used (for the same 20 mm gal/yr plant) the capital costs are estimated at $51.6 million, $43.1 million and $40. 5 million for sugar beets, potatoes and wheat respectively. The estimated capital cost for the geothermal system is $18 million.

  10. Dawn Usage, Scheduling, and Governance Model

    SciTech Connect (OSTI)

    Louis, S

    2009-11-02

    This document describes Dawn use, scheduling, and governance concerns. Users started running full-machine science runs in early April 2009 during the initial open shakedown period. Scheduling Dawn while in the Open Computing Facility (OCF) was controlled and coordinated via phone calls, emails, and a small number of controlled banks. With Dawn moving to the Secure Computing Facility (SCF) in fall of 2009, a more detailed scheduling and governance model is required. The three major objectives are: (1) Ensure Dawn resources are allocated on a program priority-driven basis; (2) Utilize Dawn resources on the job mixes for which they were intended; and (3) Minimize idle cycles through use of partitions, banks and proper job mix. The SCF workload for Dawn will be inherently different than Purple or BG/L, and therefore needs a different approach. Dawn's primary function is to permit adequate access for tri-lab code development in preparation for Sequoia, and in particular for weapons multi-physics codes in support of UQ. A second purpose is to provide time allocations for large-scale science runs and for UQ suite calculations to advance SSP program priorities. This proposed governance model will be the basis for initial time allocation of Dawn computing resources for the science and UQ workloads that merit priority on this class of resource, either because they cannot be reasonably attempted on any other resources due to size of problem, or because of the unavailability of sizable allocations on other ASC capability or capacity platforms. This proposed model intends to make the most effective use of Dawn as possible, but without being overly constrained by more formal proposal processes such as those now used for Purple CCCs.

  11. Federal Acquisition Regulation Clause Usage Guide

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

    R R R R R R R R R R R R R 52.225-14 Inconsistency Between English Version and Translation of Contract. A A A A A A A A A A A A A Provision or Clause (Click on clause number...

  12. Federal Acquisition Regulation Clause Usage Guide

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

    R R R R R R R R R R R R R 52.225-14 Inconsistency Between English Version and Translation of Contract. A A A A A A A A A A A A A 52.225-17 Evaluation of Foreign Currency...

  13. DOE Federal Acquisition Regulation Clause Usage Guide

    Broader source: Energy.gov [DOE]

    The subject matrix contained an error related to the solicitation provision at FAR 52.209-5. That provision was identified as Not Applicable for most contract types but it should have identified the provisions as Required for most contract types but Not Applicable for simplified acquisitions and acquisitions of commercial items. A corrected matrix is attached and the matrix in the Stripes Library is being replaced.

  14. Federal Acquisition Regulation Clause Usage Guide

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

    Development Contracts. NA NA NA NA NA NA NA NA NA NA NA NA NA 52.232-3 Payments under Personal Service Contracts. NA NA A A NA NA A NA NA NA NA NA A 52.232-4 Payments under...

  15. START Alaska Historical Energy Usage Spreadsheet

    Broader source: Energy.gov [DOE]

    Communities applying for the DOE Office of Indian Energy Strategic Technical Assistance Response Team (START) Initiative for Community Energy Planning and Projects Round Two are asked to download...

  16. S:\VM3\RX97\TBL_LIST.WPD [PFP#201331587]

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

    Million U.S. Households, 1997 Usage Indicators RSE Column Factor: Total Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.2 1.1 1.3 1.5 Total .............................................................. 101.5 6.8 11.5 7.0 5.9 NF Weekday Home Activities Home Used for Business Yes ............................................................ 7.4 0.5 0.9 0.4 0.4 13.5 No .............................................................. 94.1 6.3 10.6 6.5 5.6 2.2

  17. Black Carbon Concentrations and Diesel Vehicle Emission FactorsDerived from Coefficient of Haze Measurements in California:1967-2003

    SciTech Connect (OSTI)

    Kirchstetter, Thomas W.; Aguiar, Jeffery; Tonse, Shaheen; Novakov, T.

    2007-10-01

    We have derived ambient black carbon (BC) concentrations and estimated emission factors for on-road diesel vehicles from archived Coefficient of Haze (COH) data that was routinely collected beginning in 1967 at 11 locations in the San Francisco Bay Area. COH values are a measure of the attenuation of light by particles collected on a white filter, and available data indicate they are proportional to BC concentrations measured using the conventional aethalometer. Monthly averaged BC concentrations are up to five times greater in winter than summer, and, consequently, so is the population's exposure to BC. The seasonal cycle in BC concentrations is similar for all Bay Area sites, most likely due to area-wide decreased pollutant dispersion during wintertime. A strong weekly cycle is also evident, with weekend concentrations significantly lower than weekday concentrations, consistent with decreased diesel traffic volume on weekends. The weekly cycle suggests that, in the Bay Area, diesel vehicle emissions are the dominant source of BC aerosol. Despite the continuous increase in diesel fuel consumption in California, annual Bay Area average BC concentrations decreased by a factor of {approx}3 from the late 1960s to the early 2000s. Based on estimated annual BC concentrations, on-road diesel fuel consumption, and recent measurements of on-road diesel vehicle BC emissions, diesel BC emission factors decreased by an order of magnitude over the study period. Reductions in the BC emission factor reflect improved engine technology, emission controls and changes in diesel fuel composition. A new BC monitoring network is needed to continue tracking ambient BC trends because the network of COH monitors has recently been retired.

  18. Black Carbon Concentrations and Diesel Vehicle Emission Factors Derived from Coefficient of Haze Measurements in California: 1967-2003

    SciTech Connect (OSTI)

    Tast, CynthiaL; Kirchstetter, Thomas W.; Aguiar, Jeffery; Tonse, Shaheen; Novakov, T.; Fairley, David

    2007-11-09

    We have derived ambient black carbon (BC) concentrations and estimated emission factors for on-road diesel vehicles from archived Coefficient of Haze (COH) data that was routinely collected beginning in 1967 at 11 locations in the San Francisco Bay Area. COH values are a measure of the attenuation of light by particles collected on a white filter, and available data indicate they are proportional to BC concentrations measured using the conventional aethalometer. Monthly averaged BC concentrations are up to five times greater in winter than summer, and, consequently, so is the population?s exposure to BC. The seasonal cycle in BC concentrations is similar for all Bay Area sites, most likely due to area-wide decreased pollutant dispersion during wintertime. A strong weekly cycle is also evident, with weekend concentrations significantly lower than weekday concentrations, consistent with decreased diesel traffic volume on weekends. The weekly cycle suggests that, in the Bay Area, diesel vehicle emissions are the dominant source of BC aerosol. Despite the continuous increase in diesel fuel consumption in California, annual Bay Area average BC concentrations decreased by a factor of ~;;3 from the late 1960s to the early 2000s. Based on estimated annual BC concentrations, on-road diesel fuel consumption, and recent measurements of on-road diesel vehicle BC emissions, diesel BC emission factors decreased by an order of magnitude over the study period. Reductions in the BC emission factor reflect improved engine technology, emission controls and changes in diesel fuel composition. A new BC monitoring network is needed to continue tracking ambient BC trends because the network of COH monitors has recently been retired.

  19. Green Button Helps More Consumers Click with Their Energy Usage...

    Energy Savers [EERE]

    ... completed their implementations of Green Button: Connecticut Light & Power, Western Massachusetts Electric, Public Service Company of New Hampshire and Yankee Gas in Connecticut. ...

  20. Alternate energy source usage for in situ heat treatment processes

    DOE Patents [OSTI]

    Stone, Jr., Francis Marion; Goodwin, Charles R.; Richard, Jr., James

    2011-03-22

    Systems, methods, and heaters for treating a subsurface formation are described herein. At least one system for providing power to one or more subsurface heaters is described herein. The system may include an intermittent power source; a transformer coupled to the intermittent power source, and a tap controller coupled to the transformer. The transformer may be configured to transform power from the intermittent power source to power with appropriate operating parameters for the heaters. The tap controller may be configured to monitor and control the transformer so that a constant voltage is provided to the heaters from the transformer regardless of the load of the heaters and the power output provided by the intermittent power source.

  1. "Table HC1.4 Cooled Floorspace Usage Indicators, 2005" " ...

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

    "At Home Behavior" "Home Used for Business" "Yes",6.4,0.3,1,1.1,1.1,0.8,0.5,1.5 ... "At Home Behavior" "Home Used for Business" "Yes",7,34.5,16.7,16,13.5,21.1,22.7,14....

  2. "Table HC1.3 Heated Floorspace Usage Indicators, 2005" " ...

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

    "At Home Behavior" "Home Used for Business" "Yes",8.9,"Q",1.3,1.4,1.6,1,"4 0.9",2 ... "At Home Behavior" "Home Used for Business" "Yes",5.7,32.2,14.6,13.8,12.9,15.2,16.7...

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

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

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

  4. High temperature absorption heat pump for industrial usage

    SciTech Connect (OSTI)

    Bugarel, R.; Morillon, R.

    1982-01-01

    A theoretical and experimental study has demonstrated that an absorption heat pump with a water-lithium bromide thermodynamic couple has a practical coefficient of performance of 1.4-1.6 when providing a 280/sup 0/F heat source. The ability to serve as a high-temperature heat source makes this heat pump suitable for certain industrial processes such as drying.

  5. Low-sulfur coal usage alters transportation strategies

    SciTech Connect (OSTI)

    Stein, H.

    1995-07-01

    As electricity production has grown, so has the amount of coal burned by US utilities. In order to comply with the 1990 Clean Air Act Amendments (CAAA), many utilities have changed from high-sulfur coal to lower-sulfur coal to reduce sulfur dioxide emissions. The primary mode of transporting coal to utilities remains the railroad, and coal represents the largest freight tonnage shipped - two out of every five tons. Since coal is so important to the railroads, it is logical that as utilities have changed their coal-buying strategies, the railroads` strategies have also changed. The increased demand for Western coal has caused rail lines some capacity problems which they are attempting to meet head-on by buying new railcars and locomotives and expanding track capacities. The new railcars typically have aluminum bodies to reduce empty weight, enabling them to carry larger loads of coal. Train locomotives are also undergoing upgrade changes. Most new locomotives have as motors to drive the wheels which deliver more motive power (traction) to the wheel trucks. In fact the motors are up to 30% more efficient at getting the traction to the trucks. Trackage is also being expanded to alleviate serious congestion on the tracks when moving Western coal.

  6. Defining a region of optimization based on engine usage data

    DOE Patents [OSTI]

    Jiang, Li; Lee, Donghoon; Yilmaz, Hakan; Stefanopoulou, Anna

    2015-08-04

    Methods and systems for engine control optimization are provided. One or more operating conditions of a vehicle engine are detected. A value for each of a plurality of engine control parameters is determined based on the detected one or more operating conditions of the vehicle engine. A range of the most commonly detected operating conditions of the vehicle engine is identified and a region of optimization is defined based on the range of the most commonly detected operating conditions of the vehicle engine. The engine control optimization routine is initiated when the one or more operating conditions of the vehicle engine are within the defined region of optimization.

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

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

    ... in a civil penalty of not more than 2,750 per day for each violation, or a fine of not more than 5,000 per day for each willful violation. The government may bring a civil ...

  8. Documentation of INL's In Situ Oil Shale Retorting Water Usage...

    Office of Scientific and Technical Information (OSTI)

    A system dynamic model was construction to evaluate the water balance for in-situ oil ... and a remediation phase water to remove heat and solutes from the subsurface as well as ...

  9. Level: National Data; Row: NAICS Codes; Column: Usage within...

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

    ... Oxy - Fuel Firing Computer Control of Building Wide Evironment(c Computer Control of ... for any table cell, multiply the cell's corresponding RSE column and RSE row factors. ...

  10. RECS Propane Usage Form_v1 (Draft).xps

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

    Type of Fuel Sold was: PPropane BButane OOther Enter the Price per Unit of Measure XXX.XX X.XX (select one) P B O MMDDYY Page 1 of ...

  11. Level: National Data; Row: NAICS Codes; Column: Usage within...

    Gasoline and Diesel Fuel Update (EIA)

    11,129 2,836 9 11,235 2,884 3112 Grain and Oilseed Milling 580 53 Q 499 38 5 532 42 W 533 W Q 533 44 5 530 45 311221 Wet Corn Milling 47 11 W 35 W W 43 W W 39 W 0 44 3 0 41 6 ...

  12. Label Building Natural Gas Usage Form 1999 Commercial Buildings...

    Gasoline and Diesel Fuel Update (EIA)

    (toll free) at 1-888-861-0464. For general information about the survey, visit our Web site at http:www.ei a.doe.govemeucbecs. 6. Please use the enclosed self-addre ssed, ...

  13. Ammonia usage in vapor compression for refrigeration and air...

    Office of Scientific and Technical Information (OSTI)

    ... AMMONIA; PERFORMANCE; REFRIGERATING MACHINERY; REFRIGERANTS; CHLOROFLUOROCARBONS; AIR POLLUTION ABATEMENT; AIR CONDITIONERS; DISTRICT COOLING; COOLING SYSTEMS; WORKING FLUIDS; ...

  14. Wireline system for multiple direct push tool usage

    DOE Patents [OSTI]

    Bratton, Wesley L.; Farrington, Stephen P.; Shinn, II, James D.; Nolet, Darren C.

    2003-11-11

    A tool latching and retrieval system allows the deployment and retrieval of a variety of direct push subsurface characterization tools through an embedded rod string during a single penetration without requiring withdrawal of the string from the ground. This enables the in situ interchange of different tools, as well as the rapid retrieval of soil core samples from multiple depths during a single direct push penetration. The system includes specialized rods that make up the rod string, a tool housing which is integral to the rod string, a lock assembly, and several tools which mate to the lock assembly.

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

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

    You are not required to respond to this form unless it displays a currently valid OMB control number. You will find the OMB approval number and expiration date at the top left-hand ...

  16. Energy Efficiency: Helping Home Owners and Businesses Understand Energy Usage

    Broader source: Energy.gov [DOE]

    Learn how a team at Berkeley Lab is helping consumers and businesses understand their energy use and save money.

  17. Edison-PhaseI-Science-and-usage.pptx

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

    2 1248 w ith H yper---Threading Cores p er n ode 16; 3 2 w ith H yper---Threading Clock s peed 2.6GHz Memory 64GB D DR3 1 600 M Hz 4 GBcore NUMA D omain 2 Interconnect Aries ...

  18. Department of Energy Federal Acquisition Regulation Clause Usage...

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

    Development Contracts. NA NA A NA NA NA NA NA NA NA NA NA NA 52.232-3 Payments under Personal Service Contracts. NA NA A A NA NA A NA NA NA NA NA A 52.232-4 Payments under...

  19. Cielo Computational Environment Usage Model With Mappings to...

    Office of Scientific and Technical Information (OSTI)

    This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure ...

  20. Guideline For Retrieving Customer Usage Data From Utilities (Text Version)

    Broader source: Energy.gov [DOE]

    Curtis: program lead with the Southwest Energy Efficiency Project, SWEEP. We're based in Boulder, Colorado and are a nonprofit, public interest organization promoting greater energy efficiency in...

  1. Data mining of space heating system performance in affordable housing

    SciTech Connect (OSTI)

    Ren, Xiaoxin; Yan, Da; Hong, Tianzhen

    2015-02-16

    The space heating in residential buildings accounts for a considerable amount of the primary energy use. Therefore, understanding the operation and performance of space heating systems becomes crucial in improving occupant comfort while reducing energy use. This study investigated the behavior of occupants adjusting their thermostat settings and heating system operations in a 62-unit affordable housing complex in Revere, Massachusetts, USA. The data mining methods, including clustering approach and decision trees, were used to ascertain occupant behavior patterns. Data tabulating ON/OFF space heating states was assessed, to provide a better understanding of the intermittent operation of space heating systems in terms of system cycling frequency and the duration of each operation. The decision tree was used to verify the link between room temperature settings, house and heating system characteristics and the heating energy use. The results suggest that the majority of apartments show fairly constant room temperature profiles with limited variations during a day or between weekday and weekend. Data clustering results revealed six typical patterns of room temperature profiles during the heating season. Space heating systems cycled more frequently than anticipated due to a tight range of room thermostat settings and potentially oversized heating capacities. In conclusion, from this study affirm data mining techniques are an effective method to analyze large datasets and extract hidden patterns to inform design and improve operations.

  2. Data mining of space heating system performance in affordable housing

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

    Ren, Xiaoxin; Yan, Da; Hong, Tianzhen

    2015-02-16

    The space heating in residential buildings accounts for a considerable amount of the primary energy use. Therefore, understanding the operation and performance of space heating systems becomes crucial in improving occupant comfort while reducing energy use. This study investigated the behavior of occupants adjusting their thermostat settings and heating system operations in a 62-unit affordable housing complex in Revere, Massachusetts, USA. The data mining methods, including clustering approach and decision trees, were used to ascertain occupant behavior patterns. Data tabulating ON/OFF space heating states was assessed, to provide a better understanding of the intermittent operation of space heating systems inmore » terms of system cycling frequency and the duration of each operation. The decision tree was used to verify the link between room temperature settings, house and heating system characteristics and the heating energy use. The results suggest that the majority of apartments show fairly constant room temperature profiles with limited variations during a day or between weekday and weekend. Data clustering results revealed six typical patterns of room temperature profiles during the heating season. Space heating systems cycled more frequently than anticipated due to a tight range of room thermostat settings and potentially oversized heating capacities. In conclusion, from this study affirm data mining techniques are an effective method to analyze large datasets and extract hidden patterns to inform design and improve operations.« less

  3. How People Actually Use Thermostats

    SciTech Connect (OSTI)

    Meier, Alan; Aragon, Cecilia; Hurwitz, Becky; Mujumdar, Dhawal; Peffer, Therese; Perry, Daniel; Pritoni, Marco

    2010-08-15

    Residential thermostats have been a key element in controlling heating and cooling systems for over sixty years. However, today's modern programmable thermostats (PTs) are complicated and difficult for users to understand, leading to errors in operation and wasted energy. Four separate tests of usability were conducted in preparation for a larger study. These tests included personal interviews, an on-line survey, photographing actual thermostat settings, and measurements of ability to accomplish four tasks related to effective use of a PT. The interviews revealed that many occupants used the PT as an on-off switch and most demonstrated little knowledge of how to operate it. The on-line survey found that 89% of the respondents rarely or never used the PT to set a weekday or weekend program. The photographic survey (in low income homes) found that only 30% of the PTs were actually programmed. In the usability test, we found that we could quantify the difference in usability of two PTs as measured in time to accomplish tasks. Users accomplished the tasks in consistently shorter times with the touchscreen unit than with buttons. None of these studies are representative of the entire population of users but, together, they illustrate the importance of improving user interfaces in PTs.

  4. This Week In Petroleum Printer-Friendly Version

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

    of the summer driving season, which traditionally runs from Memorial Day weekend through Labor Day weekend, gasoline markets have remained relatively steady with respect to...

  5. A Seasonal Perspective on Regional Air Quality in CentralCalifornia - Phase 1

    SciTech Connect (OSTI)

    Harley, Robert A.; Brown, Nancy J.; Tonse, Shaheen R.; Jin, Ling

    2006-12-01

    Central California spans a wide variety of urban, agricultural, and natural terrain, including the San Francisco Bay area, the Central Valley, and the Sierra Nevada Mountains. Population within this region is growing rapidly, and there are persistent, serious air pollution problems including fine particulate matter (PM{sub 2.5}) and ozone. Summertime photochemical air pollution is the focus of the present study, which represents a first phase in the development and application of a modeling capability to assess formation and transport of ozone and its precursors within Central California over an entire summer season. This contrasts with past studies that have examined pollutant dynamics for a few selected high-ozone episodes each lasting 3-5 days. The Community Multiscale Air Quality model (CMAQ) has been applied to predict air pollutant formation and transport in Central California for a 15-day period beginning on July 24, 2000. This period includes a 5-day intensive operating period (July 29 to August 2) from the Central California Ozone Study (CCOS). Day-specific meteorological conditions were modeled by research collaborators at NOAA using a mesoscale meteorological model (MM5). Pollutant emissions within the study domain were based on CARB emission inventory estimates, with additional efforts conducted as part of this research to capture relevant emissions variability including (1) temperature and sunlight-driven changes in biogenic VOC, (2) weekday/weekend and diurnal differences in light-duty (LD) and heavy-duty (HD) motor vehicle emissions, (3) effects of day-specific meteorological conditions on plume rise from point sources such as power plants. We also studied the effects of using cleaner pollutant inflow boundary conditions, lower than indicated during CCOS aircraft flights over the Pacific Ocean, but supported by other surface, ship-based, balloon and aircraft sampling studies along the west coast. Model predictions were compared with measured

  6. Anthropogenic emissions of NOx over China: Reconciling the difference of inverse modeling results using GOME-2 and OMI measurements

    SciTech Connect (OSTI)

    Gu, Dasa; Wang, Yuhang; Smeltzer, Charles; Boersma, K. Folkert

    2014-06-27

    Inverse modeling using satellite observations of nitrogen dioxide (NO2) columns has been extensively used to estimate nitrogen oxides (NOx) emissions in China. Recently, the Global Ozone Monitoring Experiment-2 (GOME-2) and Ozone Monitoring Instrument (OMI) provide independent global NO2 column measurements on a nearly daily basis at around 9:30 and 13:30 local time across the equator, respectively. Anthropogenic NOx emission estimates by applying previously developed monthly inversion (MI) or daily inversion (DI) methods to these two sets of measurements show substantial differences. We improve the DI method by conducting model simulation, satellite retrieval, and inverse modeling sequentially on a daily basis. After each inversion, we update anthropogenic NOx emissions in the model simulation with the newly obtained a posteriori results. Consequently, the inversion-optimized emissions are used to compute the a priori NO2 profiles for satellite retrievals. As such, the a priori profiles used in satellite retrievals are now coupled to inverse modeling results. The improved procedure was applied to GOME-2 and OMI NO2 measurements in 2011. The new daily retrieval-inversion (DRI) method estimates an average NOx emission of 6.9 Tg N/yr over China, and the difference between using GOME-2 and OMI measurements is 0.4 Tg N/yr, which is significantly smaller than the difference of 1.3 Tg N/yr using the previous DI method. Using the more consistent DRI inversion results, we find that anthropogenic NOx emissions tend to be higher in winter and summer than spring (and possibly fall) and the weekday-to-weekend emission ratio tends to increase with NOx emission in China.

  7. labor day

    National Nuclear Security Administration (NNSA)

    0%2A en Labor Day Weekend 2015 http:nnsa.energy.govbloglabor-day-weekend-2015

    Labor Day is dedicated to the achievements of American workers and the contributions they made...

  8. Making Memorial Day Plans? Be Sure They're Efficient

    Broader source: Energy.gov [DOE]

    Useful tips from Energy Savers - from cooking, to entertaining, to driving - how to stay energy efficient this Memorial Day weekend.

  9. Alternate energy source usage methods for in situ heat treatment processes

    DOE Patents [OSTI]

    Stone, Jr., Francis Marion; Goodwin, Charles R; Richard, Jr., James E

    2014-10-14

    Systems, methods, and heaters for treating a subsurface formation are described herein. At least one method for providing power to one or more subsurface heaters is described herein. The method may include monitoring one or more operating parameters of the heaters, the intermittent power source, and a transformer coupled to the intermittent power source that transforms power from the intermittent power source to power with appropriate operating parameters for the heaters; and controlling the power output of the transformer so that a constant voltage is provided to the heaters regardless of the load of the heaters and the power output provided by the intermittent power source.

  10. Distributed Wireless Multi-Sensor Technologies, A Novel Approach to Reduce Motor Energy Usage

    SciTech Connect (OSTI)

    Daniel Sexton

    2008-03-28

    This report is the final report for the General Electric Distributed Wireless Multi-Sensor Technologies project. The report covers the research activities and benefits surrounding wireless technology used for industrial sensing applications. The main goal of this project was to develop wireless sensor technology that would be commercialized and adopted by industry for a various set of applications. Many of these applications will yield significant energy savings. One application where there was significant information to estimate a potential energy savings was focused on equipment condition monitoring and in particular electric motor monitoring. The results of the testing of the technology developed are described in this report along with the commercialization activities and various new applications and benefits realized.

  11. Energy Flow: Flow Charts Illustrating United States Energy Resources and Usage, from Lawrence Livermore National Laboratory

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Decision makers have long recognized the importance of visualizing energy and material flows in a way that distinguishes between resources, transformations and services. Research priorities can be defined in terms of changes to the flows, and the consequences of policy or technology shifts can be traced both upstream and downstream. The usefulness of this top-down view is limited by the level of detail that can be conveyed in a single image. We use two techniques to balance information content with readability. First we employe visualization techniques, such as those embodied in the energy Sankey diagram below (Figure 1), to display both qualitative (relative line weight) and quantitative (listed values) information in a reader-friendly package. The second method is to augment static images with dynamic, scalable digital content containing multiple layers (e.g. energy, carbon and economic data). This transitions the audience from that of a passive reader to an active user of the information. When used in conjunction these approaches enable relatively large, interconnected processes to be described and analyzed efficiently. [copied from the description at http://en.openei.org/wiki/LLNL_Energy_Flow_Charts#cite_note-1

  12. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census...

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

    "At Home Behavior" "Home Used for Business" "Yes",6.4,1.7,1,0.7 ... "At Home Behavior" "Home Used for Business" "Yes",7,13.5,19.2,18 ...

  13. "Table HC13.7 Air-Conditioning Usage Indicators by South Census...

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

    "At Home Behavior" "Home Used for Business" "Yes",6.4,2.8,1.8,0.4,0.6 ... "At Home Behavior" "Home Used for Business" "Yes",7,11.7,14.3,32.6,26.4 ...

  14. "Table HC14.7 Air-Conditioning Usage Indicators by West Census...

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

    "At Home Behavior" "Home Used for Business" "Yes",6.4,1.4,0.6,0.8 ... "At Home Behavior" "Home Used for Business" "Yes",7,13.1,22.1,15.7 ...

  15. "Table HC15.7 Air-Conditioning Usage Indicators by Four Most...

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

    "At Home Behavior" "Home Used for Business" "Yes",6.4,"Q",0.7,0.4,0.6 ... "At Home Behavior" "Home Used for Business" "Yes",7,41.2,20.2,26,21 ...

  16. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census...

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

    "At Home Behavior" "Home Used for Business" "Yes",6.4,0.6,1.7,2.8,1.4 ... "At Home Behavior" "Home Used for Business" "Yes",7,21.4,13.5,11.7,13.1 ...

  17. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast...

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

    "At Home Behavior" "Home Used for Business" "Yes",6.4,0.6,0.5,"Q" ... "At Home Behavior" "Home Used for Business" "Yes",7,21.4,24,46.1 ...

  18. Water Usage for In-Situ Oil Shale Retorting – A Systems Dynamics Model

    SciTech Connect (OSTI)

    Earl D. Mattson; Larry Hull; Kara Cafferty

    2012-12-01

    A system dynamic model was construction to evaluate the water balance for in-situ oil shale conversion. The model is based on a systems dynamics approach and uses the Powersim Studio 9™ software package. Three phases of an insitu retort were consider; a construction phase primarily accounts for water needed for drilling and water produced during dewatering, an operation phase includes the production of water from the retorting process, and a remediation phase water to remove heat and solutes from the subsurface as well as return the ground surface to its natural state. Throughout these three phases, the water is consumed and produced. Consumption is account for through the drill process, dust control, returning the ground water to its initial level and make up water losses during the remedial flushing of the retort zone. Production of water is through the dewatering of the retort zone, and during chemical pyrolysis reaction of the kerogen conversion. The major water consumption was during the remediation of the insitu retorting zone.

  19. Improving energy usage at the Borger Refinery and NGL Process Center

    SciTech Connect (OSTI)

    Haage, P.R.

    1982-05-01

    The Phillips Petroleum Company's Borger Refinery and NGL Process Center energy conservation program began prior to the 1973 oil embargo and was greatly intensified after that event. This paper describes recent progress made in the reduction of energy use at the facility, with emphasis on the furnace and boiler efficiency control program, computer control of fractionation columns, and the steam-trap survey program.

  20. "Table HC14.12 Home Electronics Usage Indicators by West Census...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,6.4,2.2,4.2 "Use a Personal Computer",75.6,17.8,5.3,12.5 "Most-Used Personal Computer" "Type of PC" ...

  1. "Table HC9.12 Home Electronics Usage Indicators by Climate Zone...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,3.2,8.3,8.9,7.7,7.5 "Use a Personal Computer",75.6,7.8,17.8,18.4,16.3,15.3 "Most-Used Personal Computer" ...

  2. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,8.1,14.2,6.4 "Use a Personal Computer",75.6,13.7,17.5,26.6,17.8 "Most-Used Personal Computer" "Type ...

  3. "Table HC8.12 Home Electronics Usage Indicators by Urban/Rural...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,16.9,6.5,4.6,7.6 "Use a Personal Computer",75.6,30.3,12.5,18.1,14.7 "Most-Used Personal Computer" "Type ...

  4. "Table HC15.12 Home Electronics Usage Indicators by Four Most...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,3,2,2.7,3.1 "Use a Personal Computer",75.6,4.2,5,5.3,9 "Most-Used Personal Computer" "Type of PC" ...

  5. "Table HC12.12 Home Electronics Usage Indicators by Midwest...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,8.1,5.6,2.5 "Use a Personal Computer",75.6,17.5,12.1,5.4 "Most-Used Personal Computer" "Type of PC" ...

  6. "Table HC3.12 Home Electronics Usage Indicators by Owner-Occupied...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,20.3,14.8,1.2,0.6,0.9,2.8 "Use a Personal Computer",75.6,57.8,49.2,2.9,1.2,1.4,3 "Most-Used Personal ...

  7. "Table HC11.12 Home Electronics Usage Indicators by Northeast...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,5.3,1.6 "Use a Personal Computer",75.6,13.7,9.8,3.9 "Most-Used Personal Computer" "Type of PC" ...

  8. "Table HC4.12 Home Electronics Usage Indicators by Renter-Occupied...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,15.3,3,1.9,3.1,6.4,0.8 "Use a Personal Computer",75.6,17.7,5,1.6,2.8,8,0.4 "Most-Used Personal Computer" ...

  9. "Table HC13.12 Home Electronics Usage Indicators by South Census...

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

    "Personal Computers" "Do Not Use a Personal Computer",35.5,14.2,7.2,2.8,4.2 "Use a Personal Computer",75.6,26.6,14.5,4.1,7.9 "Most-Used Personal Computer" "Type ...

  10. Usage possibilities of diesel aggregate for room heating and electric energy production

    SciTech Connect (OSTI)

    Kegl, K.; Vor Ic, J.

    1998-07-01

    Article shows reasons for introduction of cogeneration generally. The present manner of heating and electricity connection at the Faculty of electrical engineering and computer science in Maribor is described. The idea is to build in the cogeneration complex in heating room next to the existent boilers. Gathered data of electricity and heat demand are presented. Paper deals with question of electrical, heat and fuel connections. Comparison between two types of cogeneration (motor and turbine) helps to make a decision: cogeneration with motor. Depending to the daily electricity demands diagram and arranged heating diagram the authors focused to the small cogeneration (around 200 kWe). Availability of natural gas at the placement of the cogeneration leads us to the gas motor but leaves the diesel engine possibility opened. A brief economical estimation includes common investment costs regarding to the savings of energy and fuel expenses. Payback time calculation gives precedence to the gas motor if diesel is used with motor instead of fuel oil. Except the energy savings there are greater benefits of the cogeneration: it can be good study case for students of electrotechnics as well as future mechanical engineers.

  11. A Practical and Cost Effective Demonstration of Efficient Energy Usage and Quality Management Using the NII

    SciTech Connect (OSTI)

    1999-05-01

    In order to be competitive in the changing electric power industry, and to promote energy efficiency and conservation, electric power providers need to have access to information on the power system to a level of detail that has not been available in the past. This level of detail extends beyond the usual voltage, current, power, and energy quantities obtained from traditional utility SCADA systems.

  12. PCB usage at the Grand Junction Area Office Facility. Final report

    SciTech Connect (OSTI)

    Miller, M.E.; Donivan, S.

    1982-06-01

    The development, implementation, and results of the polychlorinated biphenyl (PCB) identification project at the Grand Junction Area Office (GJAO) are summarized. Methodology for the PCB analysis is described, and results are tabulated. Of the 51 transformers and disconnects in use at GJAO, 15 unites were determined to be PCB-contaminated or filled with PCBs. This number falls within EPA's estimate of 25 to 40 percent of all transformers in use being at least contaminated. Approximately 324 gallons of PCBs and 515 gallons of PCB-contaminated fluids are being used currently. No contaminated transformers or disconnects are in a position to contaminate food or feed products at the facility.

  13. Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics...

    Office of Scientific and Technical Information (OSTI)

    A system dynamic model was construction to evaluate the water balance for in-situ oil ... and a remediation phase water to remove heat and solutes from the subsurface as well as ...

  14. Energy Department Announces $4.5 Million to Expand Usage of Alternative Fuels

    Broader source: Energy.gov [DOE]

    The Energy Department today announced up to $4.5 million in funding to expand the use of alternative fuels through the Clean Cities program, which works with nearly 100 local coalitions and thousands of stakeholders across the country to decrease the use of petroleum in transportation.

  15. "Table HC4.7 Air-Conditioning Usage Indicators by Renter-Occupied...

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

    ... Insulation",0.3,"Q","Q","N","Q","Q","N" "Don't Know",0.9,0.7,"Q","Q","Q","Q","N" "Home Is ... of the Time",2.2,0.9,0.2,"Q","Q",0.4,"Q" "Don't Know",2.2,1.2,"Q","Q","Q",0.6,"Q" ...

  16. Biocide usage in cooling towers in the electric power and petroleum refining industries

    SciTech Connect (OSTI)

    Veil, J.; Rice, J.K.; Raivel, M.E.S.

    1997-11-01

    Cooling towers users frequently apply biocides to the circulating cooling water to control growth of microorganisms, algae, and macroorganisms. Because of the toxic properties of biocides, there is a potential for the regulatory controls on their use and discharge to become increasingly more stringent. This report examines the types of biocides used in cooling towers by companies in the electric power and petroleum refining industries, and the experiences those companies have had in dealing with agencies that regulate cooling tower blowdown discharges. Results from a sample of 67 electric power plants indicate that the use of oxidizing biocides (particularly chlorine) is favored. Quaternary ammonia salts (quats), a type of nonoxidizing biocide, are also used in many power plant cooling towers. The experience of dealing with regulators to obtain approval to discharge biocides differs significantly between the two industries. In the electric power industry, discharges of any new biocide typically must be approved in writing by the regulatory agency. The approval process for refineries is less formal. In most cases, the refinery must notify the regulatory agency that it is planning to use a new biocide, but the refinery does not need to get written approval before using it. The conclusion of the report is that few of the surveyed facilities are having any difficulty in using and discharging the biocides they want to use.

  17. "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" ...

  18. "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" ...

  19. "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" ...

  20. Energy Department Announces $4.5 Million to Expand Usage of Alternativ...

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

    This area may fund in-person workshops and online training courses to educate these vital personnel on safely handling and responding to incidents involving alternative fuel ...

  1. Documentation of INL’s In Situ Oil Shale Retorting Water Usage System Dynamics Model

    SciTech Connect (OSTI)

    Earl D Mattson; Larry Hull

    2012-12-01

    A system dynamic model was construction to evaluate the water balance for in-situ oil shale conversion. The model is based on a systems dynamics approach and uses the Powersim Studio 9™ software package. Three phases of an in situ retort were consider; a construction phase primarily accounts for water needed for drilling and water produced during dewatering, an operation phase includes the production of water from the retorting process, and a remediation phase water to remove heat and solutes from the subsurface as well as return the ground surface to its natural state. Throughout these three phases, the water is consumed and produced. Consumption is account for through the drill process, dust control, returning the ground water to its initial level and make up water losses during the remedial flushing of the retort zone. Production of water is through the dewatering of the retort zone, and during chemical pyrolysis reaction of the kerogen conversion. The document discusses each of the three phases used in the model.

  2. A possible usage of a CDK4 inhibitor for breast cancer stem cell-targeted therapy

    SciTech Connect (OSTI)

    Han, Yu Kyeong; Lee, Jae Ho; Park, Ga-Young; Chun, Sung Hak; Han, Jeong Yun; Kim, Sung Dae; Lee, Janet; Center for Molecular Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Gyeonggi 440-746 ; Lee, Chang-Woo; Center for Molecular Medicine, Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Gyeonggi 440-746; Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Suwon, Gyeonggi 440-746 ; Yang, Kwangmo; Department of Radiation Oncology, Dongnam Institute of Radiological and Medical Sciences, Busan 619-953; Department of Radiation Oncology, Korea Institute of Radiological and Medical Sciences, Seoul 139-709 ; Lee, Chang Geun

    2013-01-25

    Highlights: ? A CDK4 inhibitor may be used for breast cancer stem cell-targeted therapy. ? The CDK4 inhibitor differentiated the cancer stem cell population (CD24{sup ?}/CD44{sup +}) of MDA-MB-231. ? The differentiation of the cancer stem cells by the CDK4 inhibitor radiosensitized MDA-MB-231. -- Abstract: Cancer stem cells (CSCs) are one of the main reasons behind cancer recurrence due to their resistance to conventional anti-cancer therapies. Thus, many efforts are being devoted to developing CSC-targeted therapies to overcome the resistance of CSCs to conventional anti-cancer therapies and decrease cancer recurrence. Differentiation therapy is one potential approach to achieve CSC-targeted therapies. This method involves inducing immature cancer cells with stem cell characteristics into more mature or differentiated cancer cells. In this study, we found that a CDK4 inhibitor sensitized MDA-MB-231 cells but not MCF7 cells to irradiation. This difference appeared to be associated with the relative percentage of CSC-population between the two breast cancer cells. The CDK4 inhibitor induced differentiation and reduced the cancer stem cell activity of MDA-MB-231 cells, which are shown by multiple marker or phenotypes of CSCs. Thus, these results suggest that radiosensitization effects may be caused by reducing the CSC-population of MDA-MB-231 through the use of the CDK4 inhibitor. Thus, further investigations into the possible application of the CDK4 inhibitor for CSC-targeted therapy should be performed to enhance the efficacy of radiotherapy for breast cancer.

  3. A NOVEL CONCEPT FOR REDUCING WATER USAGE AND INCREASING EFFICIENCY IN POWER GENERATION

    SciTech Connect (OSTI)

    Shiao-Hung Chiang; Guy Weismantel

    2004-03-01

    The objective of the project is to apply a unique ice thermal storage (ITS) technology to cooling the intake air to gas turbines used for power generation. In Phase I, the work includes theoretical analysis, computer simulation, engineering design and cost evaluation of this novel ITS technology. The study includes two typical gas turbines (an industrial and an aeroderivative type gas turbine) operated at two different geographic locations: Phoenix, AZ and Houston, TX. Simulation runs are performed to generate data for both power output (KW) and heat rate (Btu/KWh) as well as water recovery (acre ft/yr) in terms of intake air temperature and humidity based on weather data and turbine performance curves. Preliminary engineering design of a typical equipment arrangement for turbine inlet air-cooling operation using the ITS system is presented. A cost analysis has been performed to demonstrate the market viability of the ITS technology. When the ITS technology is applied to gas turbines, a net power gain up to 40% and a heat rate reduction as much as 7% can be achieved. In addition, a significant amount of water can be recovered (up to 200 acre-ft of water per year for a 50 MW turbine). The total cost saving is estimated to be $500,000/yr for a 50 MW gas turbine generator. These results have clearly demonstrated that the use of ITS technology to cool the intake-air to gas turbines is an efficient and cost effective means to improve the overall performance of its power generation capacity with an important added benefit of water recovery in power plant operation. Thus, further development of ITS technology for commercial applications in power generation, particularly in coal-based IGCC power plants is warranted.

  4. Land O'Lakes Shaves Gas Usage through Steam System In-Plant Training

    Broader source: Energy.gov [DOE]

    Twelve participants from 6 different facilities learned and practiced energy efficiency assessment skills during the recent in-plant training at a Land O'Lakes dairy plant in Carlisle, Pennsylvania...

  5. Table HC15.7 Air-Conditioning Usage Indicators by Four Most...

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

    ... Type of Glass in Windows Single-pane Glass......Q N N N Q Proportion of Windows Replaced All......

  6. Assessment of the potential of colloidal fuels in future energy usage. Final report. [97 references

    SciTech Connect (OSTI)

    Not Available

    1980-02-25

    Pulverized coal has been an increasing important source of energy over the past century. Most large utility boilers, all modern coking plants, and many industrial boilers and blast furnaces employ pulverized coal as a major feed stream. In periods of oil shortages, such as during World Wars I and II, the concept of adding powdered coal to oil for use in combustion equipment originally designed for oil has been actively pursued but rarely used. Over this same period of time, there have been attempts to use air suspensions of coal dust in diesel engines in Germany, and in turbines in various countries. The economic advantages to be enjoyed by substitution of powdered coal in oil are not generally realized. Oil costs at $30/bbl represent a fuel value of about $5.00/10/sup 6/ Btu; coal at $25/ton is equivalent to approximately $1.00/10/sup 6/ Btu. Although capital costs for the use of coal are higher than those associated with the use of oil, coal is clearly becoming the least costly fuel. Not only are considerable cost advantages possible, but an improvement in balance of payments and an increase in reliability of fuel supplies are other potential benefits. It is therefore recommended that increased national attention be given to develop these finer grinds of carbonaceous fuels to be used in various suspending fluids. Technical areas where significant additional support appear desirable are described.

  7. Integration of Photovoltaics into Building Energy Usage through Advanced Control of Rooftop Unit

    SciTech Connect (OSTI)

    Starke, Michael R; Nutaro, James J; Irminger, Philip; Ollis, Benjamin; Kuruganti, Phani Teja; Fugate, David L

    2014-01-01

    This paper presents a computational approach to forecast photovoltaic (PV) power in kW based on a neural network linkage of publicly available cloud cover data and on-site solar irradiance sensor data. We also describe a control approach to utilize rooftop air conditioning units (RTUs) to support renewable integration. The PV forecasting method is validated using data from a rooftop PV panel installed on the Distributed Energy, Communications, and Controls (DECC) laboratory at Oak Ridge National Laboratory. The validation occurs in multiple phases to ensure that each component of the approach is the best representation of the actual expected output. The control of the RTU is based on model predictive methods.

  8. Energy Incentive Programs, Utah | Department of Energy

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

    ... or digital control unit (DCU). On selected peak demand weekdays from June 1 through August 30, the utility will coordinate load reduction for participating air conditioner units. ...

  9. Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff

    SciTech Connect (OSTI)

    Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

    2005-11-14

    The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

  10. GASOLINE VEHICLE EXHAUST PARTICLE SAMPLING STUDY

    SciTech Connect (OSTI)

    Kittelson, D; Watts, W; Johnson, J; Zarling, D Schauer,J Kasper, K; Baltensperger, U; Burtscher, H

    2003-08-24

    relationship between number and mass emissions was not observed. Data were collected on-road to compare weekday with weekend air quality around the Twin Cities area. This portion of the study resulted in the development of a method to apportion the Diesel and SI contribution to on-road aerosol.

  11. A First Look at the Impact of Electric Vehicle Charging on the Electric Grid in the EV Project

    SciTech Connect (OSTI)

    Stephen L. Schey; John G. Smart; Don R. Scoffield

    2012-05-01

    ECOtality was awarded a grant from the U.S. Department of Energy to lead a large-scale electric vehicle charging infrastructure demonstration, called The EV Project. ECOtality has partnered with Nissan North America, General Motors, the Idaho National Laboratory, and others to deploy and collect data from over 5,000 Nissan LEAFsTM and Chevrolet Volts and over 10,000 charging systems in 18 regions across the United States. This paper summarizes usage of residential charging units in The EV Project, based on data collected through the end of 2011. This information is provided to help analysts assess the impact on the electric grid of early adopter charging of grid-connected electric drive vehicles. A method of data aggregation was developed to summarize charging unit usage by the means of two metrics: charging availability and charging demand. Charging availability is plotted to show the percentage of charging units connected to a vehicle over time. Charging demand is plotted to show charging demand on the electric gird over time. Charging availability for residential charging units is similar in each EV Project region. It is low during the day, steadily increases in evening, and remains high at night. Charging demand, however, varies by region. Two EV Project regions were examined to identify regional differences. In Nashville, where EV Project participants do not have time-of-use electricity rates, demand increases each evening as charging availability increases, starting at about 16:00. Demand peaks in the 20:00 hour on weekdays. In San Francisco, where the majority of EV Project participants have the option of choosing a time-of-use rate plan from their electric utility, demand spikes at 00:00. This coincides with the beginning of the off-peak electricity rate period. Demand peaks at 01:00.

  12. We got a new digital electric meter. Our usage went up 123%. Our Bill went up 65%

    SciTech Connect (OSTI)

    Honebein, Peter C.

    2010-03-15

    There is no question that smart meters are a benefit to utilities, in terms of operational efficiency. But headlines like this one are frightening. They suggest a significant misunderstanding of the technology, marketing, and customer experience surrounding this worthwhile innovation. (author)

  13. Evaluation of the effects of underground water usage and spillage in the Exploratory Studies Facility; Yucca Mountain Site Characterization Project

    SciTech Connect (OSTI)

    Dunn, E.; Sobolik, S.R.

    1993-12-01

    The Yucca Mountain Site Characterization Project is studying Yucca Mountain in southwestern Nevada as a potential site for a high-level radioactive waste repository. Analyses reported herein were performed to support the design of site characterization activities so that these activities will have a minimal impact on the ability of the site to isolate waste and a minimal impact on underground tests performed as part of the characterization process. These analyses examine the effect of water to be used in the underground construction and testing activities for the Exploratory Studies Facility on in situ conditions. Underground activities and events where water will be used include construction, expected but unplanned spills, and fire protection. The models used predict that, if the current requirements in the Exploratory Studies Facility Design Requirements are observed, water that is imbibed into the tunnel wall rock in the Topopah Springs welded tuff can be removed over the preclosure time period by routine or corrective ventilation, and also that water imbibed into the Paintbrush Tuff nonwelded tuff will not reach the potential waste storage area.

  14. Environmental effects of fog oil and CS usage at the Combat Maneuver Training Center, Hohenfels, Germany. [2-chlorophenylmethylene

    SciTech Connect (OSTI)

    Brubaker, K.L.; Rosenblatt, D.H.; Snyder, C.T.

    1992-03-01

    In response to environmental concerns at the Combat Maneuver Training Center (CMTC), Hohenfels, Germany, the US Army 7th Army Training Command commissioned a scientific study by Argonne National Laboratory to investigate specific issues. The study involved three parts: (1) a field study to determine if fog oil and CS (a compound named after its discoverers, B.B. Carson and R.W. Stoughton) were accumulating in the CMTC environment, (2) a screening of selected soil samples for the presence of US Environmental Protection Agency priority pollutants, and (3) a literature review of the health effects of fog oil and CS, as well as a review of training practices at CMTC. No fog oil or fog oil degradation products were detected in any soil, sediment, or vegetation sample collected at CMTC. Trace quantities of one or more priority pollutants were tentatively detected in three of eight soil and sediment samples. However, the priority pollutant concentrations are so low that they pose no environmental or health hazards. No evidence of widespread or significant contamination in the training areas was found. Crucial data needed to fully evaluate both acute and chronic health effects of civilian exposures to CS at CMTC are not available. On the basis of the available literature, long-ten-n health effects in the civilian population near CMTC that could result from the use of fog oil and CS during training activities are believed to be negligible.

  15. ARM - Facility News Article

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

    Research Facility's North Slope of Alaska (NSA) locale was completed the weekend of April ... observations during arctic winters at the NSA and other high latitude research sites. ...

  16. Nevada Site Office News News Media Contact: For Immediate...

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

    Students Set to Test Their Knowledge Nevada Regional Science Bowl is this weekend ... Answer: So you can win the Nevada Regional Science Bowl The Nevada Regional Science Bowl ...

  17. Science Bowl 2014: Future STEM Leaders to Compete in National Contest

    Broader source: Energy.gov [DOE]

    This weekend, high school and middle school students from across the country will visit Washington, DC, for the 24th annual National Science Bowl.

  18. This Week In Petroleum Summary Printer-Friendly Version

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

    5, 2013. West Coast Leads Recent Gasoline Price Declines As the Labor Day weekend approaches, the U.S. national average retail price for regular gasoline has drifted...

  19. PROJECT CONTROLS WORKSHOP AGENDA | Department of Energy

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

    FPD Resource Center PM Newsletter Forms and Templates More Documents & Publications 2016 DOE Project Management Workshop - Agenda Happy Valentine's Day and President's Day weekend ...

  20. Partnerships | The Ames Laboratory

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

    around the top ideas (as determined by popular vote) and then it's a 54 hour frenzy of business model creation, coding, designing, and market validation. The weekends culminate...

  1. City of Charlevoix, Michigan (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Facebook: https:www.facebook.compagesCity-of-Charlevoix-Michigan212193170389?vwall&refsgm Outage Hotline: 231-547-9601 After Hours & Weekends References: EIA Form EIA-861...

  2. Sandia Energy - SSLS Exhibit at Explora Museum

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

    Jeff Tsao, in conjunction with Sandian Erik Spoerke and UNM scientist Patrick Johnson, volunteered at Explora Museum over the weekend. The three scientists participated in...

  3. Students Storm the Capital: 2013 National Science Bowl

    Broader source: Energy.gov [DOE]

    Teams of middle and high school students are competing this weekend at the National Science Bowl. Read more about this academic competition.

  4. Natural Gas Weekly Update

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

    20, when traders returned to colder-than-expected weather following the Martin Luther King, Jr. holiday weekend. The upward pressure on spot prices continued through yesterday's...

  5. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    20, when traders returned to colder-than-expected weather following the Martin Luther King, Jr. holiday weekend. The upward pressure on spot prices continued through yesterday's...

  6. Natural Gas Weekly Update

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

    of Tuesday's (January 21) trading session coming out of the 3-day Martin Luther King, Jr. holiday weekend, spot prices rose robustly at most market locations with...

  7. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    of Tuesday's (January 21) trading session coming out of the 3-day Martin Luther King, Jr. holiday weekend, spot prices rose robustly at most market locations with...

  8. The Energy Department Prepares for Hurricane Sandy | Department...

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

    DOE is sending personnel to the FEMA Regional Response Coordination Centers in Boston, New York and Philadelphia over the weekend as well as putting additional personnel on standby ...

  9. LOS ALAMOS, New Mexico, July 11, 2011- Los Alamos National Laboratory...

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

    erosion control work July 11, 2011 Waste removed from canyon bottom LOS ALAMOS, New Mexico, July 11, 2011- Los Alamos National Laboratory work crews over the weekend installed...

  10. Hopper Hours Used

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

    Hours Used Hopper Hours Used 2015 Hopper Usage Chart Hopper Usage Chart 2014 Hopper Usage ... Hopper Usage Chart 2011 Hopper Usage Chart Hopper Usage Chart 2015 Date Hours Used (in ...