National Library of Energy BETA

Sample records for usage meteorology map

  1. Career Map: Meteorological Technician

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Meteorological Technician positions.

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

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Cielo Computational Environment Usage Model With Mappings to ACE ... Citation Details In-Document Search Title: Cielo Computational Environment Usage Model ...

  3. Cielo Computational Environment Usage Model With Mappings to ACE

    Office of Scientific and Technical Information (OSTI)

    Requirements for the General Availability User Environment Capabilities Release Version 1.1 (Technical Report) | SciTech Connect Technical Report: Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release Version 1.1 Citation Details In-Document Search Title: Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release

  4. 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 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. ... Read More » NERSC Usage Demographics 2013 ... Read More » NERSC Usage Demographics 2012 NERSC Usage Demographics 2011 ... Read More » NERSC Usage Demographics 2010 NERSC

  5. 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...

  6. 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

  7. 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

  8. 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: 2016-04-29 11:35:15

  9. Usage Reports

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

    Reports Usage Reports Batch Job Statistics See queue wait times, hours used, top users and other summary statistics for jobs run at NERSC (login required). Read More » Parallel Job Statistics (Cray aprun) [rest... Read More » Historical Data Edison Job Size Charts Fraction of Hours Used per Job Size Note: Interactive charts with current and past Cori and Edison data are now available on MyNERSC This chart shows the fraction of hours used on Edison in each of 5 job-core-size bins. 2015 2014

  10. 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 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 2011 SGE62 SGE62 SGE62

  11. 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...

  12. NERSC Usage Demographics 2011

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

    1 NERSC Usage Demographics 2011 Last edited: 2016-04-29 11:35:06

  13. NERSC Usage Demographics 2012

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

    2 NERSC Usage Demographics 2012 Last edited: 2016-04-29 11:34:50

  14. NERSC Usage Demographics 2013

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

    3 NERSC Usage Demographics 2013 Last edited: 2016-04-29 11:34:48

  15. MAP

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

    Cray machines, we recommend the -G2 option. Below we show build instructions using a Fortran case, but the C or C++ usage is the same. On Babbage The libraries are built and...

  16. 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...

  17. 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 ...

  18. Usage by Job Size Table

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

    Usage by Job Size Table Usage by Job Size Table page loading animation Usage Query Interface System All Hopper Edison Cori Carver Planck Matgen Franklin Hopper 1 Magellan Dirac...

  19. 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

  20. 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: 2016-04-29 11:34:32

  1. Hanford Meteorological Station - Hanford Site

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

    Meteorological Station Hanford Meteorological Station Real Time Met Data from Around the Site Current and Past 48 Hours HMS Observations Daily HMS Extremes in Met Data Met and Climate Data Summary Products Contacts / Hours Current NWS Forecast for the Tri-Cities NWS Windchill Chart Hanford Meteorological Station Email Email Page | Print Print Page |Text Increase Font Size Decrease Font Size The HMS is operated by Mission Support Alliance for the U.S. Department of Energy. The HMS provides a

  2. Meteorological Towers Display for Windows NT

    Energy Science and Technology Software Center (OSTI)

    1999-05-20

    The Towers Display Program provides a convenient means of graphically depicting current wind speed and direction from a network of meteorological monitoring stations. The program was designed primarily for emergency response applications and, therefore, plots observed wind directions as a transport direction, i.e., the direction toward which the wind would transport a release of an atmospheric contaminant. Tabular summaries of wind speed and direction as well as temperature, relative humidity, and atmospheric turbulence measured atmore » each monitoring station can be displayed. The current implementation of the product at SRS displays data from eight Weather INformation and Display (WIND) System meteorological towers at SRS, meteorological stations established jointly by SRS/WSRC and the Augusta/Richmond County Emergency Management Agency in Augusta, GA, and National Weather Service stations in Augusta, GA. Wind speed and direction are plotted in a Beaufort scale format at the location of the station on a geographic map of the area. A GUI provides for easy specification of a desired date and time for the data to be displayed.« less

  3. Solar Resource and Meteorological Assessment Project (SOLRMAP...

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

    Solar Resource and Meteorological Assessment Project (SOLRMAP) Solar and Meteorological Station Options: Configurations and Specifications July 1, 2009 (revised) Steve Wilcox and ...

  4. 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.

  5. 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

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

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: DOELANL Country of Publication: United States Language: English Subject: Computer Hardware; Mathematics & Computing(97); AVAILABILITY; LANL; LAWRENCE LIVERMORE ...

  7. File:VallesGeothermalAreasMap.pdf | Open Energy Information

    Open Energy Info (EERE)

    VallesGeothermalAreasMap.pdf Jump to: navigation, search File File history File usage Metadata File:VallesGeothermalAreasMap.pdf Size of this preview: 593 599 pixels. Other...

  8. File:VallesLocationMap.pdf | Open Energy Information

    Open Energy Info (EERE)

    VallesLocationMap.pdf Jump to: navigation, search File File history File usage Metadata File:VallesLocationMap.pdf Size of this preview: 800 479 pixels. Full resolution (934...

  9. Wintertime meteorology of the Grand Canyon region

    SciTech Connect (OSTI)

    Whiteman, C.D.

    1992-09-01

    The Grand Canyon region of the American Southwest is an interesting region meteorologically, but because of its isolated location, the lack of major population centers in the region, and the high cost of meteorological field experiments, it has historically received little observational attention. In recent years, however, attention has been directed to episodes of visibility degradation in many of the US National parks, and two recent field studies focused on this visibility problem have greatly increased the meteorological data available for the Grand Canyon region. The most recent and comprehensive of these studies is the Navajo Generating Station Winter Visibility Study of 1989--90. This study investigated the sources of visibility degradation in Grand Canyon National Park and the meteorological mechanisms leading to low visibility episodes. In this paper we present analyses of this rich data set to gain a better understanding of the key wintertime meteorological features of the Grand Canyon region.

  10. File:Cubametst 59.pdf | Open Energy Information

    Open Energy Info (EERE)

    59.pdf Jump to: navigation, search File File history File usage Meteorology: map of Cuba selected meteorological stations and elevation from NREL Size of this preview: 776 ...

  11. File:Nepalmetst 223.pdf | Open Energy Information

    Open Energy Info (EERE)

    usage Meteorology: map of Nepal selected meteorological stations and elevation from NREL Size of this preview: 776 600 pixels. Full resolution (1,650 1,275 pixels,...

  12. File:Ethiopiametst 226.pdf | Open Energy Information

    Open Energy Info (EERE)

    usage Meteorology: map of Ethiopia selected meteorological stations and elevation from NREL Size of this preview: 776 600 pixels. Full resolution (1,650 1,275 pixels,...

  13. File:BrazilTMYst 238.pdf | Open Energy Information

    Open Energy Info (EERE)

    238.pdf Jump to: navigation, search File File history File usage Meteorology: map of Brazil selected meteorological stations and elevation from NREL Size of this preview: 776 ...

  14. Overview and Meteorological Validation of the Wind Integration...

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

    Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit C. ... and Meteorological Validation of the Wind Integration National Dataset Toolkit C. ...

  15. Interim report on the meteorological database

    SciTech Connect (OSTI)

    Stage, S.A.; Ramsdell, J.V.; Simonen, C.A.; Burk, K.W.

    1993-01-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project is estimating radiation doses that individuals may have received from operations at Hanford from 1944 to the present. An independent Technical Steering Panel (TSP) directs the project, which is being conducted by the Battelle, Pacific Northwest Laboratories in Richland, Washington. The goals of HEDR, as approved by the TSP, include dose estimates and determination of confidence ranges for these estimates. This letter report describes the current status of the meteorological database. The report defines the meteorological data available for use in climate model calculations, describes the data collection procedures and the preparation and control of the meteorological database. This report also provides an initial assessment of the data quality. The available meteorological data are adequate for atmospheric calculations. Initial checks of the data indicate the data entry accuracy meets the data quality objectives.

  16. 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 ...

  17. 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 -...

  18. Meteorological aspects of siting large wind turbines

    SciTech Connect (OSTI)

    Hiester, T.R.; Pennell, W.T.

    1981-01-01

    This report, which focuses on the meteorological aspects of siting large wind turbines (turbines with a rated output exceeding 100 kW), has four main goals. The first is to outline the elements of a siting strategy that will identify the most favorable wind energy sites in a region and that will provide sufficient wind data to make responsible economic evaluations of the site wind resource possible. The second is to critique and summarize siting techniques that were studied in the Department of Energy (DOE) Wind Energy Program. The third goal is to educate utility technical personnel, engineering consultants, and meteorological consultants (who may have not yet undertaken wind energy consulting) on meteorological phenomena relevant to wind turbine siting in order to enhance dialogues between these groups. The fourth goal is to minimize the chances of failure of early siting programs due to insufficient understanding of wind behavior.

  19. ARM Surface Meteorology Systems Instrument Handbook

    SciTech Connect (OSTI)

    Ritsche, MT

    2011-03-08

    The ARM Surface Meteorology Systems consist mainly of conventional in situ sensors that obtain a defined “core” set of measurements. The core set of measurements is: Barometric Pressure (kPa), Temperature (°C), Relative Humidity (%), Arithmetic-Averaged Wind Speed (m/s), Vector-Averaged Wind Speed (m/s), and Vector-Averaged Wind Direction (deg).

  20. File:NWEACmember-map 2009-12.pdf | Open Energy Information

    Open Energy Info (EERE)

    NWEACmember-map 2009-12.pdf Jump to: navigation, search File File history File usage File:NWEACmember-map 2009-12.pdf Size of this preview: 464 600 pixels. Full resolution...

  1. Network Maps

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

    Network Maps Engineering Services The Network Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet...

  2. Integrated Meteorology and Chemistry Modeling: Evaluation and Research Needs

    SciTech Connect (OSTI)

    Pleim, Jonathan; Mathur, Rohit; Rao, S. T.; Fast, Jerome D.; Backlanov, Alexander

    2014-04-01

    This is a conference summary report that will be published in the Bulletin of the American Meteorological Society.

  3. Meteorological services annual data report for 2012

    SciTech Connect (OSTI)

    Heiser J.; Smith, S.

    2013-02-01

    This document presents the meteorological data collected at Brookhaven National Laboratory (BNL) by Meteorological Services (Met Services) for the calendar year 2012. The purpose is to publicize the data sets available to emergency personnel, researchers and facility operations. Met services has been collecting data at BNL since 1949. Data from 1994 to the present is available in digital format. Data is presented in monthly plots of one-minute data. This allows the reader the ability to peruse the data for trends or anomalies that may be of interest to them. Full data sets are available to BNL personnel and to a limited degree outside researchers. The full data sets allow plotting the data on expanded time scales to obtain greater details (e.g., daily solar variability, inversions, etc.).

  4. Meteorological Services Annual Data Report for 2014

    SciTech Connect (OSTI)

    Heiser J.; Smith, S.

    2015-01-21

    This document presents the meteorological data collected at Brookhaven National Laboratory (BNL) by Meteorological Services (Met Services) for the calendar year 2014. The purpose is to publicize the data sets available to emergency personnel, researchers and facility operations. Met services has been collecting data at BNL since 1949. Data from 1994 to the present is available in digital format. Data is presented in monthly plots of one-minute data. This allows the reader the ability to peruse the data for trends or anomalies that may be of interest to them. Full data sets are available to BNL personnel and to a limited degree outside researchers. The full data sets allow plotting the data on expanded time scales to obtain greater details (e.g., daily solar variability, inversions, etc.).

  5. New Surface Meteorological Measurements at SGP,

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

    NM, March 22 - 26, 2004 1 New Surface Meteorological Measurements at SGP, and Their Use for Assessing Radiosonde Measurement Accuracy L.M. Miloshevich National Center for Atmospheric Research Boulder, Colorado B.M. Lesht and M. Ritche Argonne National Laboratory Argonne, Illinois Introduction Several recent ARM investigations have been directed toward characterizing and improving the accuracy of ARM radiosonde water vapor measurements. Tobin et al. (2002) showed that calculating the downwelling

  6. File:NREL-BioMap.pdf | Open Energy Information

    Open Energy Info (EERE)

    File Edit with form History File:NREL-BioMap.pdf Jump to: navigation, search File File history File usage Biomass Power Potential (GW) on Federal Lands by County Size of this...

  7. 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

  8. A Visualization Tool for Meteorological Data

    Energy Science and Technology Software Center (OSTI)

    1999-09-28

    Graphical user interfaces (GUIs) have been buit to visualize surface and upper-meteorology data for any global location and time of interest. The user selects a domain (geographic location and bounding range) and time of interest using the Gui, and a file containing coded observations is accessed and decoded. two styles of the GUI have been built, depending on whether surface or upper air visualization is desired. The former indicates weather conditions near the earth''s surface,more » while the latter illustrates a vertical profile of atmospheric conditions.« less

  9. 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.

  10. Candidate wind-turbine-generator site summarized meteorological data for December 1976-December 1981. [Program WIND listed

    SciTech Connect (OSTI)

    Sandusky, W.F.; Renne, D.S.; Hadley, D.L.

    1982-09-01

    Summarized hourly meteorological data for 16 of the original 17 candidate and wind turbine generator sites collected during the period from December 1976 through December 1981 are presented. The data collection program at some individual sites may not span this entire period, but will be contained within the reporting period. The purpose of providing the summarized data is to document the data collection program and provide data that could be considered representative of long-term meteorological conditions at each site. For each site, data are given in eight tables and a topographic map showing the location of the meteorological tower and turbine, if applicable. Use of information from these tables, along with information about specific wind turbines, should allow the user to estimate the potential for long-term average wind energy production at each site.

  11. ARM: ARM-standard Meteorological Instrumentation, Marine (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer ARM-standard Meteorological Instrumentation, Marine Title: ARM: ARM-standard Meteorological Instrumentation, Marine ARM-standard Meteorological Instrumentation, Marine Authors: Donna Holdridge ; Jenni Kyrouac Publication Date: 2012-10-05 OSTI Identifier: 1095605 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org:

  12. ARM: ARM-standard Meteorological Instrumentation, Marine, 1-second

    Office of Scientific and Technical Information (OSTI)

    resolution (Dataset) | Data Explorer ARM-standard Meteorological Instrumentation, Marine, 1-second resolution Title: ARM: ARM-standard Meteorological Instrumentation, Marine, 1-second resolution ARM-standard Meteorological Instrumentation, Marine, 1-second resolution Authors: Donna Holdridge ; Jenni Kyrouac Publication Date: 2012-10-05 OSTI Identifier: 1140238 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  13. Location Map

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

    Lane, Michael

    Map file package containing shaded relief base with Hot Pot project area, major roads, railroads, and rivers. The inset map shows regional Paleozoic structural elements.

  14. Location Map

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

    Lane, Michael

    2013-06-27

    Map file package containing shaded relief base with Hot Pot project area, major roads, railroads, and rivers. The inset map shows regional Paleozoic structural elements.

  15. EM Laboratory Meteorologist to Lead American Meteorological Society

    Broader source: Energy.gov [DOE]

    AIKEN, S.C. – In a first for DOE, a Department-affiliated meteorologist has been named president-elect of the American Meteorological Society (AMS).

  16. NREL Releases Updated Typical Meteorological Year Data Set -...

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

    Renewable Energy Laboratory (NREL) today released an updated typical meteorological year (TMY) data set derived from the 1991-2005 National Solar Radiation Data Base update. ...

  17. ARM Surface Meteorology Systems Instrument Handbook

    SciTech Connect (OSTI)

    Ritsche, MT

    2011-03-08

    The ARM Surface Meteorology Systems consist mainly of conventional in situ sensors that obtain a defined “core” set of measurements. The core set of measurements is: Barometric Pressure (kPa), Temperature (°C), Relative Humidity (%), Arithmetic-Averaged Wind Speed (m/s), Vector-Averaged Wind Speed (m/s), and Vector-Averaged Wind Direction (deg). The sensors that collect the core variables are mounted at the standard heights defined for each variable: • Winds: 10 meters • Temperature and Relative Humidity: 2 meters • Barometric Pressure: 1 meter. Depending upon the geographical location, different models and types of sensors may be used to measure the core variables due to the conditions experienced at those locations. Most sites have additional sensors that measure other variables that are unique to that site or are well suited for the climate of the location but not at others.

  18. Brookhaven National Laboratory meteorological services instrument calibration plan and procedures

    SciTech Connect (OSTI)

    Heiser .

    2013-02-16

    This document describes the Meteorological Services (Met Services) Calibration and Maintenance Schedule and Procedures, The purpose is to establish the frequency and mechanism for the calibration and maintenance of the network of meteorological instrumentation operated by Met Services. The goal is to maintain the network in a manner that will result in accurate, precise and reliable readings from the instrumentation.

  19. The data collection component of the Hanford Meteorology Monitoring Program

    SciTech Connect (OSTI)

    Glantz, C.S.; Islam, M.M.

    1988-09-01

    An intensive program of meteorological monitoring is in place at the US Department of Energy's Hanford Site. The Hanford Meteorology Monitoring Program involves the measurement, observation, and storage of various meteorological data; continuous monitoring of regional weather conditions by a staff of professional meteorologists; and around-the-clock forecasting of weather conditions for the Hanford Site. The objective of this report is to document the data collection component of the program. In this report, each meteorological monitoring site is discussed in detail. Each site's location and instrumentation are described and photographs are presented. The methods for processing and communicating data to the Hanford Meteorology Station are also discussed. Finally, the procedures followed to maintain and calibrate these instruments are presented. 2 refs., 83 figs., 15 tabs.

  20. ARM - Campaign Instrument - synoptic-maps

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

    govInstrumentssynoptic-maps Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : National Climatic Data Center Synoptic Maps (SYNOPTIC-MAPS) Instrument Categories Atmospheric Profiling, Derived Quantities and Models, Surface Meteorology Campaigns Fall 1994 Single Column Model IOP [ Download Data ] Southern Great Plains, 1994.10.01 - 1994.10.31 Fall 1995 Single Column Model IOP [ Download Data ] Southern Great Plains, 1995.09.01 -

  1. 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 -

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

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

    Energy 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. PDF icon Using Wireless Technology to Reduce Facility Energy Usage (December 4, 2009) More Documents & Publications New and Emerging Technologies Figure 1: Chamber experiment to study impact of air movement on thermal comfort using personally controlled

  3. 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...

  4. 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 ...

  5. File:BOEMRE OCS.oil.gas.2007-12.map.pdf | Open Energy Information

    Open Energy Info (EERE)

    OCS.oil.gas.2007-12.map.pdf Jump to: navigation, search File File history File usage Outer Continental Shelf (OCS) Oil & Gas Leasing Program 2007 - 2012 Size of this preview: 700...

  6. File:BOEMRE oil.gas.plant.platform.sta.brbra.map.4.2010.pdf ...

    Open Energy Info (EERE)

    oil.gas.plant.platform.sta.brbra.map.4.2010.pdf Jump to: navigation, search File File history File usage Federal Leases in Pacific Ocean, near Santa Barbara Channel Size of this...

  7. File:Black.Warrior.Basin usgs.map.pdf | Open Energy Information

    Open Energy Info (EERE)

    usgs.map.pdf Jump to: navigation, search File File history File usage Undiscovered Oil and Gas Resources of the Black Warrior Basin Province of Alabama and Mississippi Size...

  8. File:BOEMRE platforms.leases.longbeach.map.5.2010.pdf | Open...

    Open Energy Info (EERE)

    platforms.leases.longbeach.map.5.2010.pdf Jump to: navigation, search File File history File usage Federal Leases in Pacific Ocean, near Long Beach Size of this preview: 463 599...

  9. File:BOEMRE lease.platforms.santa.barb.map.5.2010.pdf | Open...

    Open Energy Info (EERE)

    lease.platforms.santa.barb.map.5.2010.pdf Jump to: navigation, search File File history File usage Federal Leases in Pacific Ocean, near Santa Maria Basin Size of this preview: 776...

  10. File:NREL-50m-Alaska-Wind-Map.pdf | Open Energy Information

    Open Energy Info (EERE)

    File Edit with form History File:NREL-50m-Alaska-Wind-Map.pdf Jump to: navigation, search File File history File usage Alaska 50m Wind Resource (PDF) Size of this preview: 776 ...

  11. ARM - PI Product - Finnish Meteorological Institute Doppler Lidar

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

    ProductsFinnish Meteorological Institute Doppler Lidar Citation DOI: 10.54391177194 What is this? ARM Data Discovery Browse Data Comments? We would love to hear from you Send...

  12. Finnish Meteorological Institute Doppler Lidar (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Search Results Finnish Meteorological Institute Doppler Lidar Title: Finnish Meteorological Institute Doppler Lidar This doppler lidar system provides co-polar and cross polar attenuated backscatter coefficients,signal strength, and doppler velocities in the cloud and in the boundary level, including uncertainties for all parameters. Using the doppler beam swinging DBS technique, and Vertical Azimuthal Display (VAD) this system also provides vertical profiles of horizontal winds.

  13. Minicomputer Capabilities Related to Meteorological Aspects of Emergency Response

    SciTech Connect (OSTI)

    Rarnsdell, J. V.; Athey, G. F.; Ballinger, M. Y.

    1982-02-01

    The purpose of this report is to provide the NRC staff involved in reviewing licensee emergency response plans with background information on the capabilities of minicomputer systems that are related to the collection and dissemination of meteorological infonmation. The treatment of meteorological information by organizations with existing emergency response capabilities is described, and the capabilities, reliability and availability of minicomputers and minicomputer systems are discussed.

  14. Site Map

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

    Access to the ALS Gate Access Guest House Lab Shuttles Maps and Directions Parking Safety Experiment Safety Safety for Staff In Case of Emergency Resources Acronyms Multimedia ...

  15. 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...

  16. Technical Work Plan For: Meteorological Monitoring Data Analysis

    SciTech Connect (OSTI)

    R. Green

    2006-02-06

    The meteorological monitoring and analysis program has five objectives. (1) Acquire qualified meteorological data from YMP meteorological monitoring network using appropriate controls on measuring and test equipment. Because this activity is monitoring (i.e., recording naturally occurring events) pre-test predictions are not applicable. All work will be completed in accordance with U.S. Department of Energy (DOE) Office of Repository Development (ORD) administrative procedures and Bechtel SAIC Co., LLC (BSC) line procedures. The meteorological monitoring program includes measuring and test equipment calibrations, operational checks, preventive and corrective maintenance, and data collection. (2) Process the raw monitoring data collected in the field and submit technically reviewed, traceable data to the Technical Data Management System (TDMS) and the Records Processing Center. (3) Develop analyses or calculations to provide information to data requesters and provide data sets as requested. (4) Provide precipitation amounts to Site Operations to support requirements to perform inspections in the Stormwater Pollution Prevention Plan (implemented in LP-OM-050Q-BSC) following storm events of greater than 0.5 inches. The program also provides meteorological data during extreme weather conditions (e.g., high winds, rainstorms, etc.) to support decisions regarding worker safety. (5) Collect samples of precipitation for chemical and isotopic analysis by the United States Geological Survey (USGS). The BSC ES&H Environmental Compliance organization is responsible for performing this work. Data from calendar-year periods are submitted to the TDMS to provide YMP users with qualified meteorological data for scientific modeling and analyses, engineering designs of surface facilities, performance assessment analyses, and operational safety issues.

  17. Catalog of the Oak Ridge National Laboratory Meteorological Tape Library

    SciTech Connect (OSTI)

    Bell, M.A.

    1983-08-01

    This report gives a complete inventory of the data tapes in the ORNL Meteorological Tape Library (OMTL). The attributes of each tape, including location of the weather station (city and state), station number, standard data format, dates covered, data set name(s), and job control language considerations (record format, record length, blocksize, tape label, and tape density), are listed for each tape. In addition, a description of some of the special characteristics of each of the available standard meteorological data formats is presented.

  18. Site Map

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

    Home » Site Map Site Map Home About Overview NERSC Mission Contact us Staff Center Leadership Sudip Dosanjh Sudip Dosanjh: Select Publications Jeff Broughton Katie Antypas Richard Gerber Publications John Shalf Center Administration James Craw Norma Early Jeff Grounds Betsy MacGowan Zaida McCunney Kerri Peyovich Lynn Rippe David Tooker Center Communications Jon Bashor Kathy Kincade Linda Vu Margie Wylie Advanced Technologies Nicholas Wright Brian Austin Research Projects Christopher Daley Glenn

  19. 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 organized. The RMUS Interview Form with the attached RMUS Process Form(s) provides the radioactive materials survey data by technical area (TA) and building number. The survey data for each release point includes information such as: exhaust stack identification number, room number, radioactive material source type (i.e., potential source or future potential source of air emissions), radionuclide, usage (in curies) and usage basis, physical state (gas, liquid, particulate, solid, or custom), release fraction (from Appendix D to 40 CFR 61, Subpart H), and process descriptions. In addition, the interview form also calculates emissions (in curies), lists mrem/Ci factors, calculates PEDEs, and states the location of the critical receptor for that release point. [The critical receptor is the maximum exposed off-site member of the public, specific to each individual facility.] Each of these data fields is described in this section. The Tier classification of release points, which was first introduced with the 1999 usage survey, is also described in detail in this section. Section 4 includes a brief discussion of the dose estimate methodology, and includes a discussion of several release points of particular interest in the CY 2011 usage survey report. It also includes a table of the calculated PEDEs for each release point at its critical receptor. Section 5 describes ES's approach to Quality Assurance (QA) for the usage survey. Satisfactory completion of the survey requires that team members responsible for Rad-NESHAP (National Emissions Standard for Hazardous Air Pollutants) compliance accurately collect and process several types of information, including radioactive materials usage data, process information, and supporting information. They must also perform and document the QA reviews outlined in Section 5.2.6 (Process Verification and Peer Review) of ES-RN, 'Quality Assurance Project Plan for the Rad-NESHAP Compliance Project' to verify that all information is complete and correct.

  20. Candidate wind-turbine generator site cumulative meteorological data summary and data for January 1982 through September 1982

    SciTech Connect (OSTI)

    Sandusky, W.F.; Buck, J.W.; Renne, D.S.; Hadley, D.L.; Abbey, O.B.; Bradymire, S.L.; Gregory, J.L.

    1983-08-01

    Summarized cumulative hourly meteorological data for 20 new sites selected in early 1980 as part of the expanded candidate site program are presented. The reporting period is July 1980 through September 1982. The data collection program at some individual sites may not span this entire period, but will be contained within the reporting period. The purpose of providing the summarized data is to document the data collection program and to provide data that could be considered representative of longer-term meteorological conditions at each site. For each site, data are given in eight tables and in a topographic map showing the approximated location of the meteorological tower and turbine, if applicable. Use of the information from these tables, along with information about specific wind turbines, should allow the user to estimate the potential for longer-term average wind energy production at each site. Two appendices of other data are provided. Appendix A contains summarized data collected at new and original sites during the period January 1982 through September 1982. Appendix B contains cumulative summarized data for those original sites selected in 1976 with data collection programs continuing into 1982.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Active layer dynamics and arctic hydrology and meteorology. Final report

    SciTech Connect (OSTI)

    Not Available

    1993-10-01

    Man`s impact on the environment is increasing with time. To be able to evaluate anthropogenic impacts on an ecosystems, it is necessary first to understand all facets of how the ecosystems works: what the main processes (physical, biological, chemical) are, at what rates they proceed, and how they can be manipulated. Arctic ecosystems are dominated by physical processes of energy exchange. This project has concentrated on a strong program of hydrologic and meteorologic data collection, to better understand dominant physical processes. Field research focused on determining the natural annual and diurnal variability of meteorologic and hydrologic variables, especially those which may indicate trends in climatic change. Comprehensive compute models are being developed to simulate physical processes occurring under the present conditions and to simulate processes under the influence of climatic change.

  7. Meteorological field measurements at potential and actual wind turbine sites

    SciTech Connect (OSTI)

    Renne, D.S.; Sandusky, W.F.; Hadley, D.L.

    1982-09-01

    An overview of experiences gained in a meteorological measurement program conducted at a number of locations around the United States for the purpose of site evaluation for wind energy utilization is provided. The evolution of the measurement program from its inception in 1976 to the present day is discussed. Some of the major accomplishments and areas for improvement are outlined. Some conclusions on research using data from this program are presented.

  8. Role of surface characteristics in urban meteorology and air quality

    SciTech Connect (OSTI)

    Sailor, D.J.

    1993-08-01

    Urbanization results in a landscape with significantly modified surface characteristics. The lower values of reflectivity to solar radiation, surface moisture availability, and vegetative cover, along with the higher values of anthropogenic heat release and surface roughness combine to result higher air temperatures in urban areas relative to their rural counterparts. Through their role in the surface energy balance and surface exchange processes, these surface characteristics are capable of modifying the local meteorology. The impacts on wind speeds, air temperatures, and mixing heights are of particular importance, as they have significant implications in terms of urban energy use and air quality. This research presents several major improvements to the meteorological modeling methodology for highly heterogeneous terrain. A land-use data-base is implemented to provide accurate specification of surface characteristic variability in simulations of the Los Angeles Basin. Several vegetation parameterizations are developed and implemented, and a method for including anthropogenic heat release into the model physics is presented. These modeling advancements are then used in a series of three-dimensional simulations which were developed to investigate the potential meteorological impact of several mitigation strategies. Results indicate that application of moderate tree-planting and urban-lightening programs in Los Angeles may produce summertime air temperature reductions on the order of 4{degree}C with a concomitant reduction in air pollution. The analysis also reveals several mechanisms whereby the application of these mitigation strategies may potentially increase pollutant concentrations. The pollution and energy use consequences are discussed in detail.

  9. Site Map

    Office of Scientific and Technical Information (OSTI)

    Site Map Expand All | Collapse All Item Sir John Pople, Gaussian Code, and Complex Chemical Reactions Item DOE Research and Development Accomplishments Click to expand or collapse folder Folder DOE Research and Development Accomplishments About Item The Manhattan Project Click to expand or collapse folder Folder DOE Research and Development Accomplishments Alfred Nobel Laureates Associated with the DOE and Predecessors Item Abdus Salam and his International Influences Item Ahmed Zewail and

  10. Regional analysis of non-methane hydrocarbons and meteorology of the rural southeast United States

    SciTech Connect (OSTI)

    Hagerman, L.M.

    1996-11-01

    Measurements of non-methane hydrocarbons, as well as ozone, meteorological and trace gas data, were made at four rural sites located within the southeastern United States as a part of the Southern Oxidants Study. Fifty-six C2-C10 hydrocarbons were collected from 1200-1300 local time, once every six days from September 1992 through October 1993. The measurements were made in an effort to enhance the understanding of the behavior and trends of ozone and other photochemical oxidants in this region. The light molecular weight alkanes (ethane, propane, n-butane, iso-butane), ethene and acetylene display a seasonal variation with a winter maximum and summer minimum. Isoprene was virtually non-existent during the winter at all sites, and averaged from 9.8 ppbC (Yorkville, GA) to 21.15 ppbC (Centreville, AL) during the summer. The terpene concentration was greatest in the summer with averages ranging between 3.19 ppbC (Centreville, AL) to 6.38 ppbC (Oak Grove, MS), but was also emitted during the winter months, with a range of 1.25 to 1.9 ppbC for all sites. Propylene-equivalent concentrations were calculated to account for differences in reaction rates between the hydroxyl radical and individual hydrocarbons, and to thereby estimate their relative contribution to ozone, especially in regards to the highly reactive biogenic compounds such as isoprene. It was calculated that biogenics represent at least 65% of the total non-methane hydrocarbon sum at these four sites during the summer season when considering propylene-equivalent concentrations. An ozone episode which occurred from July 20 to July 24 1993 was used as an example to show ozone profiles at each of the sites, and to show the effect of synoptic meteorology on high ozone by examining NOAA daily weather maps and climatic data.

  11. Site Map | DOE Patents

    Office of Scientific and Technical Information (OSTI)

    DOepatents Site Map Site Map Home Basic Search Advanced Search DOEPatents FAQ About DOEpatents Site Map DOEpatents Feedback Website Policies/Important Links

  12. Site Map | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Site Map Site Map Home Basic Search Advanced Search Data Explorer FAQ About Data Explorer Site Map Data Explorer Feedback Website Policies/Important Links

  13. Berkeley Lab Site Map

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

    About Berkeley Lab | Laboratory Site Map Laboratory Organization Chart DivisionalDepartmental Organization Charts Laboratory Map Interactive Laboratory Map History of the...

  14. Manhattan Project: Maps

    Office of Scientific and Technical Information (OSTI)

    Scroll down to view thumbnails of each map. Leslie Groves looks at a map of Japan. Manhattan Project: General Manhattan Project Facilities Places map "Signature Facilities of the ...

  15. Site Map | Geothermal

    Office of Scientific and Technical Information (OSTI)

    Site Map Site Map Home Basic Search Advanced Search Geothermal FAQ About Geothermal Site Map Geothermal Feedback Website PoliciesImportant Links

  16. Mapping the Nanoscale Landscape

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

    Mapping the Nanoscale Landscape Mapping the Nanoscale Landscape Print Wednesday, 27 September 2006 00:00 For the first time, researchers have successfully mapped the chemical...

  17. 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.

  18. 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.

  19. 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 ...

  20. 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 &...

  1. 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 &...

  2. 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 ...

  3. 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 ...

  4. Site Monitoring Area Maps

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

    DOepatents Site Map Site Map Home Basic Search Advanced Search DOEPatents FAQ About DOEpatents Site Map DOEpatents Feedback Website Policies/Important Links

    Site Map Site Map Home Basic Search Advanced Search Data Explorer FAQ About Data Explorer Site Map Data Explorer Feedback Website Policies/Important Links

    Site Map Site Map Home Audio Search Fielded Search About FAQ Site Map Contact Us Website Policies/Important Links

    Maps Individual Permit: Site Monitoring Area Maps Each

  5. Meteorological Observations for Renewable Energy Applications at Site 300

    SciTech Connect (OSTI)

    Wharton, S; Alai, M; Myers, K

    2011-10-26

    In early October 2010, two Laser and Detection Ranging (LIDAR) units (LIDAR-96 and LIDAR-97), a 3 m tall flux tower, and a 3 m tall meteorological tower were installed in the northern section of Site 300 (Figure 1) as a first step in development of a renewable energy testbed facility. This section of the SMS project is aimed at supporting that effort with continuous maintenance of atmospheric monitoring instruments capable of measuring vertical profiles of wind speed and wind direction at heights encountered by future wind power turbines. In addition, fluxes of energy are monitored to estimate atmospheric mixing and its effects on wind flow properties at turbine rotor disk heights. Together, these measurements are critical for providing an accurate wind resource characterization and for validating LLNL atmospheric prediction codes for future renewable energy projects at Site 300. Accurate, high-resolution meteorological measurements of wind flow in the planetary boundary layer (PBL) and surface-atmosphere energy exchange are required for understanding the properties and quality of available wind power at Site 300. Wind speeds at heights found in a typical wind turbine rotor disk ({approx} 40-140 m) are driven by the synergistic impacts of atmospheric stability, orography, and land-surface characteristics on the mean wind flow in the PBL and related turbulence structures. This section of the report details the maintenance and labor required in FY11 to optimize the meteorological instruments and ensure high accuracy of their measurements. A detailed look at the observations from FY11 is also presented. This portion of the project met the following milestones: Milestone 1: successful maintenance and data collection of LIDAR and flux tower instruments; Milestone 2: successful installation of solar power for the LIDAR units; and Milestone 3: successful implementation of remote data transmission for the LIDAR units.

  6. PPPL Area Map | Princeton Plasma Physics Lab

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

    PPPL Area Map View Larger Map

  7. 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.

  8. Department of Energy Federal Acquisition Regulation Clause Usage Guide

    Broader source: Energy.gov [DOE]

    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.

  9. 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%.

  10. 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.

  11. A One-Year Study of the Diurnal Cycle of Meteorology, Clouds...

    Office of Scientific and Technical Information (OSTI)

    The meteorological analysis builds upon past studies of the diurnal cycle in the region by incorporating diurnal cycles of lower tropospheric wind profiles, thermodynamic profiles, ...

  12. 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.

  13. 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.

  14. Site Map | ScienceCinema

    Office of Scientific and Technical Information (OSTI)

    Site Map Site Map Home Audio Search Fielded Search About FAQ Site Map Contact Us Website Policies/Important Links

  15. 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.

  16. Career Map: Environmental Scientist

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Environmental Scientist positions.

  17. Career Map: Instrumentation Coordinator

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Instrumentation Coordinator positions.

  18. Career Map: Mechanical Engineer

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Mechanical Engineer positions.

  19. Career Map: Aerospace Engineer

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Aerospace Engineer positions.

  20. Career Map: Electrical Engineer

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Electrical Engineer positions.

  1. Career Map: Industrial Engineer

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Industrial Engineer positions.

  2. Career Map: Resource Scientist

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Resource Scientist positions.

  3. Career Map: Construction Worker

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Construction Worker positions.

  4. Career Map: Transportation Worker

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Transportation Worker positions.

  5. A Cluster-based Method to Map Urban Area from DMSP/OLS Nightlights (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect A Cluster-based Method to Map Urban Area from DMSP/OLS Nightlights Citation Details In-Document Search Title: A Cluster-based Method to Map Urban Area from DMSP/OLS Nightlights Accurate information of urban areas at regional and global scales is important for both the science and policy-making communities. The Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime stable light data (NTL) provide a potential way to map urban area

  6. Density Equalizing Map Projections

    Energy Science and Technology Software Center (OSTI)

    1995-07-01

    A geographic map is mathematically transformed so that the subareas of the map are proportional to a given quantity such as population. In other words, population density is equalized over the entire map. The transformed map can be used as a display tool, or it can be statistically analyzed. For example, cases of disease plotted on the transformed map should be uniformly distributed at random, if disease rates are everywhere equal. Geographic clusters of diseasemore » can be readily identified, and their statistical significance determined, on a density equalized map.« less

  7. Interim report on the meteorological database. Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Stage, S.A.; Ramsdell, J.V.; Simonen, C.A.; Burk, K.W.

    1993-01-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project is estimating radiation doses that individuals may have received from operations at Hanford from 1944 to the present. An independent Technical Steering Panel (TSP) directs the project, which is being conducted by the Battelle, Pacific Northwest Laboratories in Richland, Washington. The goals of HEDR, as approved by the TSP, include dose estimates and determination of confidence ranges for these estimates. This letter report describes the current status of the meteorological database. The report defines the meteorological data available for use in climate model calculations, describes the data collection procedures and the preparation and control of the meteorological database. This report also provides an initial assessment of the data quality. The available meteorological data are adequate for atmospheric calculations. Initial checks of the data indicate the data entry accuracy meets the data quality objectives.

  8. Surface Meteorology, Barrow, Alaska, Area A, B, C and D, Ongoing from 2012

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

    Bob Busey; Larry Hinzman; William Cable; Vladimir Romanovsky

    2014-12-04

    Meteorological data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities.

  9. Surface Meteorology, Barrow, Alaska, Area A, B, C and D, Ongoing from 2012

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

    Bob Busey; Larry Hinzman; William Cable; Vladimir Romanovsky

    Meteorological data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities.

  10. campus-visitor-map

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

    MC-212 Pollard Aud. MC- 210 MC- 120 MC-130 MC-100 Main Campus Map Building RoomOffice Contact Name + Number Visitor Map You are here. Emergency Assembly Point Entrance Buildings...

  11. ARM - Instrument - maps

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

    hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Mesoscale Analysis and Prediction System (MAPS) Note: maps is currently inactive andor...

  12. National Hydropower Map

    Broader source: Energy.gov [DOE]

    High-resolution map produced by Oak Ridge National Laboratory showing hydropower resources throughout the United States.

  13. SERC Grants Interactive Map

    Broader source: Energy.gov [DOE]

    View SERC Grants in a larger map. To report corrections, please email SustainableEnergyWAP@ee.doe.gov.

  14. WIPP Projects Interative Map

    Broader source: Energy.gov [DOE]

    View WIPP Projects in a larger map. To report corrections, please email WeatherizationInnovation@ee.doe.gov.

  15. Maps | Department of Energy

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

    News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles

  16. Quantitative DNA fiber mapping

    DOE Patents [OSTI]

    Gray, Joe W.; Weier, Heinz-Ulrich G.

    1998-01-01

    The present invention relates generally to the DNA mapping and sequencing technologies. In particular, the present invention provides enhanced methods and compositions for the physical mapping and positional cloning of genomic DNA. The present invention also provides a useful analytical technique to directly map cloned DNA sequences onto individual stretched DNA molecules.

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

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

    Lab 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 yesterday. In a 24-hour-period nearly 125,000 pages were viewed, according to Steve Gagnon, JLab Education technician. "Our previous record was 114,094 pages viewed in a single day," Gagnon explained. "On April 18 a total of 124,900 pages were viewed. Our previous record was set last week. Before

  18. 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

  19. Aeromagnetic map | Open Energy Information

    Open Energy Info (EERE)

    map Jump to: navigation, search OpenEI Reference LibraryAdd to library Map: Aeromagnetic mapInfo GraphicMapChart Cartographer Zietz and Kirby Published U.S. Geological Survey,...

  20. ARM - TWP-ICE Maps

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

    Fact Sheet (pdf, 211K) Press Releases TWP-ICE Images ARM flickr site <"" li"" height"14" width"16"> TWP-ICE Maps map1 map2 Download TWP-ICEDarwin annotated maps (pdf, 246K)....

  1. Maps of Selected State Subdivisions

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

    Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves Summary Maps of Selected State Subdivisions Map 1: Alaska Map 2: California Map 3: Louisiana Map 4: New Mexico Map 5: Texas Map 6: Western Planning Area, Gulf of Mexico Map 7: Central Planning Area, Gulf of Mexico Map 8: Eastern Planning Area, Gulf of Mexico Map 1: Alaska AK 50 - North Onshore and Offshore AK 10 - South Onshore AK 05 - South State Offshore AK 00 - South Federal Offshore Map 2: California CA 50 - Coastal Region

  2. Milford, Utah FORGE Map | Department of Energy

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

    Milford, Utah FORGE Map More Documents & Publications Milford, Utah FORGE Map Milford, Utah FORGE Logo Milford, Utah FORGE Map Newberry FORGE Map Milford, Utah FORGE Map Fallon ...

  3. 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...

  4. 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,...

  5. 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.

  6. 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

  7. Green Button Helps More Consumers Click with Their Energy Usage Data |

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

    Department of Energy Helps More Consumers Click with Their Energy Usage Data Green Button Helps More Consumers Click with Their Energy Usage Data September 12, 2013 - 2:41pm Addthis At the White House Energy Datapalooza in October 2012, developers showcased new apps that help consumers harness and interpret their energy use data. The expanding Green Button movement will make apps like these more ubiquitous. | Photo by Sarah Gerrity, Energy Department. At the White House Energy Datapalooza in

  8. Research Portfolio Map

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

    Research Portfolio Map Welcome to the Strategic Center for Coal Project Portfolio Web Map assembled by NETL. The web map includes projects across all Coal & Power Systems technologies including Advanced Energy Systems, Carbon Capture, Carbon Storage, Cross-Cutting Research, Futuregen 2.0, Industrial Carbon Capture and Storage (ICCS), Clean Coal Power Initiative (CCPI), Geologic Sequestration Training and Research (GSTR), Geologic Sequestration Site Characterization (GSSC), and ICCS

  9. Mapping the Nanoscale Landscape

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

    Mapping the Nanoscale Landscape Mapping the Nanoscale Landscape Print Wednesday, 27 September 2006 00:00 For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave

  10. SGP Overview Map

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

    Overview Map SGP Related Links Virtual Tour Facilities and Instruments Central Facility Boundary Facility Extended Facility Intermediate Facility Radiometric Calibration Facility...

  11. ARM - Datastreams - maps60

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

    1994.10.15 Measurement Categories Atmospheric State Originating Instrument Mesoscale Analysis and Prediction System (MAPS) Measurements The measurements below provided by this...

  12. Allinea MAP at NERSC

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

    Graphical User Interface can be greatly improved if used in conjunction with the free NX software. Introduction Allinea MAP is a parallel profiler with simple Graphical User...

  13. HVAC Performance Maps

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

    ... models for building energy simulation tools (mathematical framework - what are the right ... integrated HPWHs were performance mapped in NREL's Advanced HVAC Systems Laboratory. ...

  14. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Maps

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

    Bookmark and Share Maps NREL's Geospatial Data Science Team develops maps for various renewable resources and for specific projects. As a benefit to the public, a majority of static maps are offered and Google Map (KML/KMZ) files on a tool called MapSearch. Biomass Maps Maps showing the biomass resources available in the United States by county. Feedstock categories include crop residues; forest residues; primary and secondary mill residues; urban wood waste; and methane emissions from manure

  15. Climatological summary of wind and temperature data for the Hanford Meteorology Monitoring Network

    SciTech Connect (OSTI)

    Glantz, C.S.; Schwartz, M.N.; Burk, K.W.; Kasper, R.B.; Ligotke, M.W.; Perrault, P.J.

    1990-09-01

    This document presents climatological summaries of wind and temperature data collected at the twenty-five monitoring stations operated by the Hanford Meteorology Monitoring Network. The climatological analyses presented here involve hourly averaged wind data collected over an 8-year period beginning in 1982 (fewer wind data are available for the several monitoring stations that began full-time operation after 1982) and hourly averaged air temperature data collected over 2-year period beginning in mid-1988. The tables and figures presented in this document illustrate the spatial and temporal variation of meteorological parameters across the Hanford Site and the surrounding areas. This information is useful for emergency response applications, routine meteorological forecasting, planning and scheduling operations, facility design, and environmental impact studies.

  16. Meteorological conditions during the winter validation study at Rocky Flats, Colorado: An overview

    SciTech Connect (OSTI)

    Hodgin, C.R.

    1991-11-06

    The objective for the Winter Validation Study was to gather field data for validation of the Terrain-Responsive Atmospheric Code (TRAC) under winter time meteorological conditions. Twelve tracer tests were conducted during a two-week period in February 1991. Each test lasted 12 hours, with releases of SF{sub 6} tracer from the Rocky Flats Plant near Golden, Colorado. The tests included ground-based and airborne sampling to 16 km from the release point. This presentation summarizes meteorological conditions during the testing period. Forty six viewgraphs are included.

  17. Site Map - Pantex Plant

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

    Site Map Site Map Page Content Pantex.com Mission & Strategies Mission National Security Nuclear Explosive Operations Nuclear Material Operations HE Operations Strategies Advance HE Center of Excellence Exemplify a High Reliability Organization Health & Safety Safety Training Occupational Medicine Contractor Safety Environment Environmental Projects & Operations Regulatory Compliance Waste Operations Environmental Management System Environmental Document Library Public Meetings Doing

  18. Chizu Task Mapping Tool

    Energy Science and Technology Software Center (OSTI)

    2014-07-01

    Chizu is a tool for Mapping MPI processes or tasks to physical processors or nodes for optimizing communication performance. It takes the communication graph of a High Performance Computing (HPC) application and the interconnection topology of a supercomputer as input. It outputs a new MPI rand to processor mapping, which can be used when launching the HPC application.

  19. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps

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

    MapSearch Searching for maps has never been easier. A screen capture of the MapSearch Map view option Solar Maps Solar maps provide monthly average daily total solar resource information on grid cells. The insolation values represent the resource available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal to equal to the latitude of the collector location. This is typical practice for PV system installation, although other orientations are

  20. Key wintertime meteorological features of the Grand Canyon and the Colorado Plateaus Basin

    SciTech Connect (OSTI)

    Whiteman, C.D.; Allwine, K.J.

    1992-06-01

    In the winter of 1989--1990 a major meteorological and air pollution experiment was conducted in the Colorado Plateaus Basin (Richards et al., 1991). The focus of the experiment, conducted by Arizona's Soft River Project, was to investigate the influence of three 750-MW coal-fired power plant units at the Navajo Generating Station near Page, Arizona, on visibility at Grand Canyon National Park. As part of the meteorological experiment, surface and upper air data were collected from multiple sites within the basin. This data set is the most comprehensive meteorological data set ever collected within the region, and the purpose of this paper is to briefly summarize the key wintertime meteorological features of the Colorado Plateaus Basin and the Grand Canyon, through which the basin drains, using analyses of the Winter Visibility Study data. Our analyses focused primarily on thermally driven circulations within the basin and the Grand Canyon, but we also investigated the surface energy budget that drives these circulations and the interactions between the thermal circulations and the overlying synoptic-scale flows.

  1. Key wintertime meteorological features of the Grand Canyon and the Colorado Plateaus Basin

    SciTech Connect (OSTI)

    Whiteman, C.D.; Allwine, K.J.

    1992-06-01

    In the winter of 1989--1990 a major meteorological and air pollution experiment was conducted in the Colorado Plateaus Basin (Richards et al., 1991). The focus of the experiment, conducted by Arizona`s Soft River Project, was to investigate the influence of three 750-MW coal-fired power plant units at the Navajo Generating Station near Page, Arizona, on visibility at Grand Canyon National Park. As part of the meteorological experiment, surface and upper air data were collected from multiple sites within the basin. This data set is the most comprehensive meteorological data set ever collected within the region, and the purpose of this paper is to briefly summarize the key wintertime meteorological features of the Colorado Plateaus Basin and the Grand Canyon, through which the basin drains, using analyses of the Winter Visibility Study data. Our analyses focused primarily on thermally driven circulations within the basin and the Grand Canyon, but we also investigated the surface energy budget that drives these circulations and the interactions between the thermal circulations and the overlying synoptic-scale flows.

  2. Partial Support for the Federal Committee for Meteorological Services and Supporting Research

    SciTech Connect (OSTI)

    Williamson, Samuel P

    2012-04-30

    DOE E-link Report Number DOE/ER62778 1999-2012 Please see attached Final Technical Report (size too large to post here). Annual Products Provided to DOE: Federal Plan for Meteorological Services and Supporting Research; National Hurricane Operations Plan; Interdepartmental Hurricane Conference Summary Report. All reports and publications can be found on the OFCM website, www.ofcm.noaa.gov.

  3. Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Khangaonkar, Tarang; Wang, Taiping

    2011-06-01

    It is a great challenge to specify meteorological forcing in estuarine and coastal circulation modeling using observed data because of the lack of complete datasets. As a result of this limitation, water temperature is often not simulated in estuarine and coastal modeling, with the assumption that density-induced currents are generally dominated by salinity gradients. However, in many situations, temperature gradients could be sufficiently large to influence the baroclinic motion. In this paper, we present an approach to simulate water temperature using outputs from advanced meteorological models. This modeling approach was applied to simulate annual variations of water temperatures of Puget Sound, a fjordal estuary in the Pacific Northwest of USA. Meteorological parameters from North American Region Re-analysis (NARR) model outputs were evaluated with comparisons to observed data at real-time meteorological stations. Model results demonstrated that NARR outputs can be used to drive coastal ocean models for realistic simulations of long-term water-temperature distributions in Puget Sound. Model results indicated that the net flux from NARR can be further improved with the additional information from real-time observations.

  4. THE NEW YORK MIDTOWN DISPERSION STUDY (MID-05) METEOROLOGICAL DATA REPORT.

    SciTech Connect (OSTI)

    REYNOLDS,R.M.; SULLIVAN, T.M.; SMITH, S.; CASSELLA, V.

    2007-01-01

    The New York City midtown dispersion program, MID05, examined atmospheric transport in the deep urban canyons near Rockefeller Center. Little is known about air flow and hazardous gas dispersion under such conditions, since previous urban field experiments have focused on small to medium sized cities with much smaller street canyons and examined response over a much larger area. During August, 2005, a series of six gas tracer tests were conducted and sampling was conducted over a 2 km grid. A critical component of understanding gas movement in these studies is detailed wind and meteorological information in the study zone. To support data interpretation and modeling, several meteorological stations were installed at street level and on roof tops in Manhattan. In addition, meteorological data from airports and other weather instrumentation around New York City were collected. This document describes the meteorological component of the project and provides an outline of data file formats for the different instruments. These data provide enough detail to support highly-resolved computational simulations of gas transport in the study zone.

  5. Impact of incremental changes in meteorology on thermal compliance and power system operations

    SciTech Connect (OSTI)

    Miller, B.A.; Alavian, V.; Bender, M.D.

    1992-02-01

    The sensitivity of the TVA reservoir and power supply systems to extreme meteorology was evaluated using a series of mathematical models to simulate the relationship between incremental changes in meteorology, associated changes in water temperature, and power plant generation. Single variable analysis techniques were applied at selected TVA facilities for representative average and extreme weather conditions. In the analysis, base case simulations were first conducted for each representative year using observed meteorology (i.e., the no change condition). The impacts of changes in meteorology were subsequently analyzed by uniformly constant at their respective base case values. Project results are generally presented in terms of deviations from base case conditions for each representative year. Based on an analysis of natural flow and air temperature patterns at Chickamauga Dam, 1974 was selected to represent extreme cold-wet conditions; 1965 as reflecting average conditions; and 1986 as an example of an extremely hot-dry year. The extreme years (i.e., 1974 and 1986) were used to illustrate sensitivities beyond historical conditions; while the average year provided a basis for comparison. Observed reservoir conditions, such as inflows, dam releases, and reservoir elevations for each representative year, were used in the analysis and were assumed to remain constant in all simulations. Therefore, the Lake Improvement Plan (which was implemented in 1991) and its consequent effects on reservoir operations were not incorporated in the assessment. In the model simulations, computed water temperatures were based on vertically well-mixed conditions in the reservoirs.

  6. METEOROLOGICAL INFLUENCES ON VAPOR INCIDENTS IN THE 200 EAST & 200 WEST TANK FARMS FROM CY2001 THRU CY2004

    SciTech Connect (OSTI)

    FAUROTE, J.M.

    2004-09-30

    Investigation into the meteorological influences on vapor incidents in the tank farms to determine what, if any, meteorological influences contribute to the reporting of odors, smells, vapors, and other gases. Weather phenomena, specifically barometric pressure, and wind velocity and direction can potentially cause or exacerbate a vapor release within the farm systems.

  7. Filling the gaps in meteorological continuous data measured at FLUXNET sites with ERA-Interim reanalysis

    SciTech Connect (OSTI)

    Vuichard, N.

    2015-07-13

    In this study, exchanges of carbon, water and energy between the land surface and the atmosphere are monitored by eddy covariance technique at the ecosystem level. Currently, the FLUXNET database contains more than 500 registered sites, and up to 250 of them share data (free fair-use data set). Many modelling groups use the FLUXNET data set for evaluating ecosystem models' performance, but this requires uninterrupted time series for the meteorological variables used as input. Because original in situ data often contain gaps, from very short (few hours) up to relatively long (some months) ones, we develop a new and robust method for filling the gaps in meteorological data measured at site level. Our approach has the benefit of making use of continuous data available globally (ERA-Interim) and a high temporal resolution spanning from 1989 to today. These data are, however, not measured at site level, and for this reason a method to downscale and correct the ERA-Interim data is needed. We apply this method to the level 4 data (L4) from the La Thuile collection, freely available after registration under a fair-use policy. The performance of the developed method varies across sites and is also function of the meteorological variable. On average over all sites, applying the bias correction method to the ERA-Interim data reduced the mismatch with the in situ data by 10 to 36 %, depending on the meteorological variable considered. In comparison to the internal variability of the in situ data, the root mean square error (RMSE) between the in situ data and the unbiased ERA-I (ERA-Interim) data remains relatively large (on average over all sites, from 27 to 76 % of the standard deviation of in situ data, depending on the meteorological variable considered). The performance of the method remains poor for the wind speed field, in particular regarding its capacity to conserve a standard deviation similar to the one measured at FLUXNET stations.

  8. NREL: MapSearch

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

    to easily search our collection of maps created by the Geographic Information System (GIS) team. Please use the search box and the filters on the left of the screen to limit...

  9. Mapping the Nanoscale Landscape

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

    composition maps (5 m x 5 m) of F8BT:TFB blend films (left and center). Comparative atomic-force microscopy (AFM) surface images (right) reveal micrometer-sized domains in...

  10. Dating the Vinland Map

    ScienceCinema (OSTI)

    None

    2013-07-17

    Scientists from Brookhaven National Laboratory, the University of Arizona, and the Smithsonian Institution used carbon-dating technology to determine the age of a controversial parchment that might be the first-ever map of North America.

  11. Fermilab Site Map

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

    use this map The Village Fermilab Meson, Nuetrino and Proton Experiment Areas Wilson Hall, Ramsey Auditorium Site 38 (Support Area) and vicinity CDF, D0, TD, Tevatron Main Injector...

  12. PMCDP Curriculum Learning Map

    Broader source: Energy.gov [DOE]

    This interactive map provides an overview of the Department of Energy’s Project Management Career Development Program (PMCDP) as well as all pertinent details for each course within the program. ...

  13. Wind Career Map: Resource List

    Broader source: Energy.gov [DOE]

    The following resources were used in the development of the Wind Career Map, associated job profile information, or are potential resources for interested Wind Career Map viewers.

  14. X-ray fluorescence mapping

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

    X-Ray Microscopy and Imaging: X-ray Fluorescence Mapping Of increasing scientific interest is the detection, quantification and mapping of elemental content of samples, often down...

  15. Arizona Map for Commercial Buildings

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

    Home > Households, Buildings & Industry > Background Information on CBECS > 1979-1999 CBECS climate zone map Corrections Corrections to 1979-1999 CBECS Climate Zone Map, February...

  16. Field Mapping | Open Energy Information

    Open Energy Info (EERE)

    Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Field Mapping Details Activities (74) Areas (44) Regions (6) NEPA(0) Exploration...

  17. Historical Network Maps

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

    Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network Network Performance Tools The ESnet Engineering Team Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science

  18. Mapping the Nanoscale Landscape

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

    Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with

  19. Mapping the Nanoscale Landscape

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

    Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with

  20. Mapping the Nanoscale Landscape

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

    Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with

  1. Mapping the Nanoscale Landscape

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

    Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with

  2. Southwest Area Corridor Map | Department of Energy

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

    Southwest Area Corridor Map Southwest Area Corridor Map A map of the southwest area corridor. PDF icon Southwest Area Corridor Map More Documents & Publications Southwest Area ...

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

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Subsector and Industry Establishments(b) in Use(c) In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know Total United States 311 Food 14,128 297

  4. Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2010; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Selected Subsectors and Industry Establishments(b) in Use(c) In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know Total United

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

    Office of Scientific and Technical Information (OSTI)

    Dynamics Model (Technical Report) | SciTech Connect 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 Water Usage System Dynamics Model 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(tm) software package. Three phases of an in

  6. "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

  7. "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"

  8. "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

  9. "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

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

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

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

  11. "Table HC7.12 Home Electronics Usage Indicators by Household Income, 2005"

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

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect 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 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(tm) software package. Three phases of an insitu retort were consider; a construction

  14. NREL: Dynamic Maps, GIS Data, and Analysis Tools - International Maps

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

    International Maps Below are some examples of how geographic information system (GIS) modeling is used in international resource analyses. The JPG images are samples of the maps available. Refer to the Geospatial Toolkits for further information. Map of the Republic of the Philippines Wind Speed at 100m Map of Republic of the Philippines Wind Power Density at 80m Map of Flat Plate Tilted at Latitude Resource of China Map of Republic of the Philippines Wind Speed at 100m JPG 6,336 KB Map of

  15. 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

  16. 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.

  17. Career Map: Land Acquisition Specialist

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Land Acquisition Specialist positions.

  18. Career Map: Environmental Science Technician

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Environmental Science Technician positions.

  19. Career Map: Analyst/Researcher

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Analyst/Researcher positions.

  20. The meteorological monitoring audit, preventative maintenance and quality assurance programs at a former nuclear weapons facility

    SciTech Connect (OSTI)

    Maxwell, D.R.

    1995-12-31

    The purposes of the meteorological monitoring audit, preventative maintenance, and quality assurance programs at the Rocky Flats Environmental Technology Site (Site), are to (1) support Emergency Preparedness (EP) programs at the Site in assessing the transport, dispersion, and deposition of effluents actually or potentially released into the atmosphere by Site operations; and (2) provide information for onsite and offsite projects concerned with the design of environmental monitoring networks for impact assessments, environmental surveillance activities, and remediation activities. The risk from the Site includes chemical and radioactive emissions historically related to nuclear weapons component production activities that are currently associated with storage of large quantities of radionuclides (plutonium) and radioactive waste forms. The meteorological monitoring program provides information for site-specific weather forecasting, which supports Site operations, employee safety, and Emergency Preparedness operations.

  1. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Milford, Utah (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  2. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); La Ola Lanai, Hawaii (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  3. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Los Angeles, California (Data)

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

    Stoffel, T.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  4. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Cedar City, Utah (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  5. Solar Resource & Meteorological Assessment Project (SOLRMAP): Observed Atmospheric and Solar Information System (OASIS); Tucson, Arizona (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  6. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Kalaeloa Oahu, Hawaii (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  7. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Milford, Utah (Data)

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

    Wilcox, S.; Andreas, A.

    2010-07-14

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  8. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Kalaeloa Oahu, Hawaii (Data)

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

    Wilcox, S.; Andreas, A.

    2010-03-16

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  9. Solar Resource & Meteorological Assessment Project (SOLRMAP): Sun Spot Two; Swink, Colorado (Data)

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

    Wilcox, S.; Andreas, A.

    2010-11-10

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  10. Solar Resource & Meteorological Assessment Project (SOLRMAP): Observed Atmospheric and Solar Information System (OASIS); Tucson, Arizona (Data)

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

    Wilcox, S.; Andreas, A.

    2010-11-03

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  11. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Cedar City, Utah (Data)

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

    Wilcox, S.; Andreas, A.

    2010-07-13

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  12. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Los Angeles, California (Data)

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

    Stoffel, T.; Andreas, A.

    2010-04-26

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  13. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); La Ola Lanai, Hawaii (Data)

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

    Wilcox, S.; Andreas, A.

    2009-07-22

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  14. Solar Resource & Meteorological Assessment Project (SOLRMAP): Sun Spot Two; Swink, Colorado (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  15. Salt Repository Project site study plan for meteorology/air quality: Revision 1

    SciTech Connect (OSTI)

    Not Available

    1987-12-01

    The Site Study Plan for Meteorology/Air Quality describes a field program consisting of continuous measurements of wind speed and direction, temperature, humidity, dew point, and pressure neede for later modeling and dose calculations. These measurements will include upper level winds, vertical temperature structure, and vertical wind speed. All measurements will be made at a site located within the 9-m/sup 2/ site area but remote from the ESF. The SSP describes the need for each study; its design and design rationale; analysis, management, and use of data; schedule of field activities, organization of field personnel and sample management and quality assurance requirements. These studies will provide data needed to satisfy requirements contained in, or derived from, the Salt Repository Project Requirements Document. Although titled Meteorology/Air Quality, this SSP addresses only meteorology, as there are no air quality data needs in the SCP. A correction to the title will be made in a later revision. 27 refs., 6 figs., 3 tabs.

  16. Six- and three-hourly meteorological observations from 223 USSR stations

    SciTech Connect (OSTI)

    Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A.; Kaiser, D.P.

    1995-04-01

    This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.

  17. 24 m meteorological tower data report period: January through December, 1996

    SciTech Connect (OSTI)

    Freeman, D.; Bowen, J.; Egami, R.; Coulombe, W.; Crow, D.; Cristani, B.; Schmidt, S.

    1997-12-01

    This report was prepared by the Desert Research Institute (DRI) for the US Department of Energy (DOE). It summarizes meteorological data collected at the 24 meter tower at the Nevada Test Site Hazardous Material Spill Center (HAZMAT) located at Frenchman Flat near Mercury, Nevada, approximately 75 miles northwest of Las Vegas, Nevada. The tower was originally installed in July, 1993 to characterize baseline conditions for an EPA sponsored experimental research program at the HAZMAT. This report presents results of the monitoring for January--December, 1996, providing: a status of the measurement systems during the report period and a summary of the meteorological conditions at the HAZMAT during the report period. The scope of the report is limited to summary data analyses and does not include extensive meteorological analysis. The tower was instrumented at 8 levels. Wind speed, wind direction, and temperature were measured at all 8 levels. Relative humidity was measured at 3 levels. Solar and net radiation were measured at 2 meters above the ground. Barometric pressure was measured at the base of the tower and soil temperature was measured near the base of the tower.

  18. Manhattan Project: Site Map

    Office of Scientific and Technical Information (OSTI)

    SITE MAP Resources > Site Map THE MANHATTAN PROJECT Events 1890s-1939: Atomic Discoveries A Miniature Solar System, 1890s-1919 Exploring the Atom, 1919-1932 Atomic Bombardment, 1932-1938 The Discovery of Fission, 1938-1939 Fission Comes to America, 1939 1939-1942: Early Government Support Einstein's Letter, 1939 Early Uranium Research, 1939-1941 Piles and Plutonium, 1939-1941 Reorganization and Acceleration, 1940-1941 The MAUD Report, 1941 A Tentative Decision to Build the Bomb, 1941-1942

  19. Mapping the Nanoscale Landscape

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

    Mapping a Course to Improved Community Resilience Mapping a Course to Improved Community Resilience June 4, 2015 - 2:16pm Addthis OE interns Jeremy Call and Henry Puppe at last month's first-ever mapathon hosted by the White House OE interns Jeremy Call and Henry Puppe at last month's first-ever mapathon hosted by the White House Denice Ross Denice Ross Last month's first-ever mapathon hosted by the White House brought people together from across the public and private sectors to celebrate and

  20. Category:Maps | Open Energy Information

    Open Energy Info (EERE)

    category, out of 6 total. B Map of Biomass Facilities C Map of Clean Energy Companies G Map of Geothermal Facilities S Map of Solar Energy Companies Map of Solar Power Plants W...

  1. Filling the gaps in meteorological continuous data measured at FLUXNET sites with ERA-Interim reanalysis

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

    Vuichard, N.; Papale, D.

    2015-07-13

    In this study, exchanges of carbon, water and energy between the land surface and the atmosphere are monitored by eddy covariance technique at the ecosystem level. Currently, the FLUXNET database contains more than 500 registered sites, and up to 250 of them share data (free fair-use data set). Many modelling groups use the FLUXNET data set for evaluating ecosystem models' performance, but this requires uninterrupted time series for the meteorological variables used as input. Because original in situ data often contain gaps, from very short (few hours) up to relatively long (some months) ones, we develop a new and robustmore » method for filling the gaps in meteorological data measured at site level. Our approach has the benefit of making use of continuous data available globally (ERA-Interim) and a high temporal resolution spanning from 1989 to today. These data are, however, not measured at site level, and for this reason a method to downscale and correct the ERA-Interim data is needed. We apply this method to the level 4 data (L4) from the La Thuile collection, freely available after registration under a fair-use policy. The performance of the developed method varies across sites and is also function of the meteorological variable. On average over all sites, applying the bias correction method to the ERA-Interim data reduced the mismatch with the in situ data by 10 to 36 %, depending on the meteorological variable considered. In comparison to the internal variability of the in situ data, the root mean square error (RMSE) between the in situ data and the unbiased ERA-I (ERA-Interim) data remains relatively large (on average over all sites, from 27 to 76 % of the standard deviation of in situ data, depending on the meteorological variable considered). The performance of the method remains poor for the wind speed field, in particular regarding its capacity to conserve a standard deviation similar to the one measured at FLUXNET stations.« less

  2. Learning maps -- Application

    SciTech Connect (OSTI)

    Paullin, W.L.

    1999-07-01

    The paper consists of a series of slides used in the presentation. They summarize the Root Learning Map process which is a tool that allows a company to modify its culture to improve productivity by allowing employees to have a vested interest in the outcome of the company. Educating the employees about different aspects of the organization is a major part of the process.

  3. Rapid mapping tool : an ArcMap extension /

    SciTech Connect (OSTI)

    Linger, S. P.; Rich, P. M.; Walther, D.; Witkowski, M. S.; Jones, M. A.; Khalsa, H. S.

    2002-01-01

    Cartographic production laboratories produce large volumes of maps for diverse customers. Turnaround time and consistency are key concerns. The Rapid Mapping Tool is an ArcMap based tool that enables rapid creation of maps to meet customer needs. This tool was constructed using VB/VBA, ArcObjects, and ArcGIS templates. The core capability of ArcMap is extended for custom map production by storing specifications associated with a map or template in a companion XML document. These specifications include settings and preferences used to create custom maps. The tool was developed as a component of an enterprise GIS, which enables spatial data management and delivery using ArcSDE, ArcIMS, Oracle, and a web-based request tracking system.

  4. 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...

  5. HTAR Usage

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

    to Create an HTAR Archive Rather than specifying the list of files and directories on the command line when creating an HTAR archive, you can place the list of file and directory...

  6. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Geothermal Maps

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

    Geothermal Prospector Start exploring U.S. geothermal resources with an easy-to-use map by selecting dataset layers that are NGDS compatible. Bookmark and Share Geothermal Maps These maps show existing and developing geothermal power plants, geothermal resource potential estimates, and other information related to geothermal power. They are updated as information becomes available, but may not represent all available geothermal data. Resource Potential The geothermal resource potential map (JPG

  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. Level: National Data; 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. NAICS Code(a) Subsector and Industry Establishments(b) In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know Total United States 311 Food 14,128 1,632 9,940 2,556 3,509 8,048 2,571 1,590

  9. 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.

  10. "Table HC9.12 Home Electronics Usage Indicators by Climate Zone, 2005"

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

    2 Home Electronics 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 Electronics Usage Indicators" "Total",111.1,10.9,26.1,27.3,24,22.8

  11. "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

  12. Los Alamos researchers create 'map of science'

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

    bioscience, sustainable energy sources, to plasma physics ... in PLoS ONE (the Public Library of Science). "This ... Fe Institute collected usage-log data gathered from a ...

  13. 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...................................................................

  14. 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.

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

    National Nuclear Security Administration (NNSA)

    Administration Home / Blog Y-12 reduces water usage and wins award Tuesday, January 5, 2016 - 12:00am NNSA Blog From left: Brad Mattie, Bill Collins, Chris Byrd, Gary Guge and Jake Thompson were instrumental in protecting Y-12 water quality. Y-12 recently received two awards at the 33rd Annual Tennessee Chamber of Commerce and Industry Environment and Energy Conference. Representatives from Y-12's Infrastructure and Environmental Compliance groups accepted the awards at the ceremony held at

  16. Clinton Engineer Works map | Y-12 National Security Complex

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

    Clinton Engineer Works map Clinton Engineer Works map

  17. FEM: Feature-enhanced map

    SciTech Connect (OSTI)

    Afonine, Pavel V.; Moriarty, Nigel W.; Mustyakimov, Marat; Sobolev, Oleg V.; Terwilliger, Thomas C.; Turk, Dusan; Urzhumtsev, Alexandre; Adams, Paul D.

    2015-02-26

    A method is presented that modifies a 2mFobs-DFmodelσA-weighted map such that the resulting map can strengthen a weak signal, if present, and can reduce model bias and noise. The method consists of first randomizing the starting map and filling in missing reflections using multiple methods. This is followed by restricting the map to regions with convincing density and the application of sharpening. The final map is then created by combining a series of histogram-equalized intermediate maps. In the test cases shown, the maps produced in this way are found to have increased interpretability and decreased model bias compared with the starting 2mFobs-DFmodelσA-weighted map.

  18. FEM: Feature-enhanced map

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

    Afonine, Pavel V.; Moriarty, Nigel W.; Mustyakimov, Marat; Sobolev, Oleg V.; Terwilliger, Thomas C.; Turk, Dusan; Urzhumtsev, Alexandre; Adams, Paul D.

    2015-02-26

    A method is presented that modifies a 2mFobs-DFmodelσA-weighted map such that the resulting map can strengthen a weak signal, if present, and can reduce model bias and noise. The method consists of first randomizing the starting map and filling in missing reflections using multiple methods. This is followed by restricting the map to regions with convincing density and the application of sharpening. The final map is then created by combining a series of histogram-equalized intermediate maps. In the test cases shown, the maps produced in this way are found to have increased interpretability and decreased model bias compared with themore » starting 2mFobs-DFmodelσA-weighted map.« less

  19. Geothermal Maps | Department of Energy

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

    The maps below were developed by National Laboratories, universities and other organizations. Maps by Energy Type or Measurement Direct-use projects in the United States - Geo-Heat ...

  20. maps | OpenEI Community

    Open Energy Info (EERE)

    queries developer Google maps maps multicolor result formats results Semantic Mediawiki Hi all, Recently, a couple of people on OpenEI have asked me how to do compound (or...

  1. SRNL Site Map

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

    spacer 11/22/2013 SEARCH SRNL GO SRNL Home SRNL Site Map About SRNL From the Director Operational Excellence Leadership Our History Visiting SRNL Science & Innovation National Security Enviromental Stewardship Clean Energy Innovations Fact Sheets PDRD / LDRD Working with SRNL Technology Transfer Technology Partnerships Our Facilities Main Campus ACTL - Aiken County Technology Laboratory HTRL - Hydrogen Technology Research Laboratory EMRL - Energy Materials Research Laboratory F / H Lab

  2. Site Map - Cyclotron Institute

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

    Site Map Cyclotron Institute About K500 Beam Schedule Recent News Seminars and Colloquia Cyclotron Institute Safety (limited access) Radiation Effects Facility REU Program Research Heavy Ion Reactions Fundamental Interactions Nuclear Astrophysics Interactions of Highly Charged Ions With Matter Theoretical Nuclear Physics Nuclear Structure External Collaborations Publications Research Groups Facilities K500 Cyclotron ECR Ion Sources MARS Big Sol MDM Spectrometer NIMROD Precision On-Line Decay

  3. Geothermal Maps | Department of Energy

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

    Information Resources » Geothermal Maps Geothermal Maps Map of the United States, with color bands indicating favorability of deep EGS and dots indicating identified hydrothermal sites. The Geothermal Technologies Office (GTO) carries out R&D and demonstration efforts to deploy 12 GWe of clean geothermal energy by 2020 and expand geothermal into new U.S. regions. Locating and developing resources is an important part of that mission. GTO works with national laboratories to develop maps and

  4. WINDExchange: Wind Maps and Data

    Wind Powering America (EERE)

    Wind Maps and Data WINDExchange provides wind maps and anemometer data to help homeowners, communities, states, and regions learn more about their available wind resources and plan wind energy projects. WINDExchange also maintains more than a decade of installed capacity maps showing how wind energy has progressed across the United States over time as advances in wind technology and materials make wind resources more available. A map illustration of the United States showing the various wind

  5. Building Your Message Map Worksheet

    Broader source: Energy.gov [DOE]

    Building Your Message Map Worksheet, as posted on the U.S. Department of Energy's Better Buildings Neighborhood Program website.

  6. Solar Mapping Resources | Department of Energy

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

    Solar Mapping Resources Solar Mapping Resources Solar Mapping Resources Choosing solar energy is a big investment. In order to help consumers quantify the potential benefits,...

  7. Alternative Water Sources Map | Department of Energy

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

    Facilities Water Efficiency Alternative Water Sources Map Alternative Water Sources Map The Federal Energy Management Program (FEMP) created the Alternative Water Map to...

  8. Solar Technology Acceleration Center (SolarTAC): Solar Resource & Meteorological Assessment Project (SOLRMAP); Aurora, Colorado (Data)

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

    Wilcox, S.; Andreas, A.

    Located in Colorado, near Denver International Airport, SolarTAC is a private, member-based, 74-acre outdoor facility where the solar industry tests, validates, and demonstrates advanced solar technologies. SolarTAC was launched in 2008 by a public-private consortium, including Midwest Research Institute (MRI). As a supporting member of SolarTAC, the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) has established a high quality solar and meteorological measurement station at this location. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  9. Final report on the meteorological database, December 1944--1949. Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Stage, S.A.; Ramsdell, J.V. Jr.; Simonen, C.A.; Burk, K.W.; Berg, L.K.

    1993-11-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project is estimating radiation doses that individuals may have received from operations at Hanford from 1944 to the present. A number of computer programs are being developed by the HEDR Project to estimate doses and confidence ranges associated with radionuclides transported through the atmosphere and the Columbia River. One computer program is the Regional Atmospheric Transport Code for Hanford Emissions Tracking (RATCHET). RATCHET combines release data with information on atmospheric conditions including wind direction and speed. The RATCHET program uses these data to produce estimates of time-integrated air concentrations and surface contamination. These estimates are used in calculating dose by the Dynamic EStimates of Concentrations And Radionuclides in Terrestrial EnvironmentS (DESCARTES) and the Calculations of Individual Doses from Environmental Radionuclides (CIDER) computer programs. This report describes the final status of the meteorological database used by RATCHET. Data collection procedures and the preparation and control of the meteorological database are described, along with an assessment of the data quality.

  10. Solar Technology Acceleration Center (SolarTAC): Solar Resource & Meteorological Assessment Project (SOLRMAP); Aurora, Colorado (Data)

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

    Wilcox, S.; Andreas, A.

    2011-02-11

    Located in Colorado, near Denver International Airport, SolarTAC is a private, member-based, 74-acre outdoor facility where the solar industry tests, validates, and demonstrates advanced solar technologies. SolarTAC was launched in 2008 by a public-private consortium, including Midwest Research Institute (MRI). As a supporting member of SolarTAC, the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) has established a high quality solar and meteorological measurement station at this location. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  11. Solar Mapping Resources

    Broader source: Energy.gov [DOE]

    Choosing solar energy is a big investment. In order to help consumers quantify the potential benefits, national laboratories and private companies have developed a number of tools to forecast their solar futures. Satellite maps, irradiance data, and real-time bids from installers have been combined to assist customers in understanding the potential costs and benefits of solar with just the click of a button. The examples below help consumers start the process of choosing solar by demonstrating the solar potential of their homes or businesses.

  12. MAp GENeralization COntroller

    Energy Science and Technology Software Center (OSTI)

    1995-02-24

    MAGENCO is a geographic information systems (GIS) tool for managing geospatial data. It assists in choosing an appropriate level of cartographic simplification (removal of vertices while preserving line character). While an effective algorithm for this task exists (Douglas-Peucker, published in 1973), the tolerance parameter depends on the fractal dimension or the natural or manmade feature, the scale of mapping, and the uses to which the data will be put. It is thus necessary to iterativelymore » test different parameters until an acceptable one is found.« less

  13. Category:Map Files | Open Energy Information

    Open Energy Info (EERE)

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

  14. Widget:GasMap | Open Energy Information

    Open Energy Info (EERE)

    GasMap Jump to: navigation, search Gas map widget: The Gas Map displays real-time gas prices for the United States Example Output Gas map widget: Denver Gas Prices provided by...

  15. Quantitive DNA Fiber Mapping

    SciTech Connect (OSTI)

    Lu, Chun-Mei; Wang, Mei; Greulich-Bode, Karin M.; Weier, Jingly F.; Weier, Heinz-Ulli G.

    2008-01-28

    Several hybridization-based methods used to delineate single copy or repeated DNA sequences in larger genomic intervals take advantage of the increased resolution and sensitivity of free chromatin, i.e., chromatin released from interphase cell nuclei. Quantitative DNA fiber mapping (QDFM) differs from the majority of these methods in that it applies FISH to purified, clonal DNA molecules which have been bound with at least one end to a solid substrate. The DNA molecules are then stretched by the action of a receding meniscus at the water-air interface resulting in DNA molecules stretched homogeneously to about 2.3 kb/{micro}m. When non-isotopically, multicolor-labeled probes are hybridized to these stretched DNA fibers, their respective binding sites are visualized in the fluorescence microscope, their relative distance can be measured and converted into kilobase pairs (kb). The QDFM technique has found useful applications ranging from the detection and delineation of deletions or overlap between linked clones to the construction of high-resolution physical maps to studies of stalled DNA replication and transcription.

  16. Defect mapping system

    DOE Patents [OSTI]

    Sopori, Bhushan L.

    1995-01-01

    Apparatus for detecting and mapping defects in the surfaces of polycrystalline materials in a manner that distinguishes dislocation pits from grain boundaries includes a laser for illuminating a wide spot on the surface of the material, a light integrating sphere with apertures for capturing light scattered by etched dislocation pits in an intermediate range away from specular reflection while allowing light scattered by etched grain boundaries in a near range from specular reflection to pass through, and optical detection devices for detecting and measuring intensities of the respective intermediate scattered light and near specular scattered light. A center blocking aperture or filter can be used to screen out specular reflected light, which would be reflected by nondefect portions of the polycrystalline material surface. An X-Y translation stage for mounting the polycrystalline material and signal processing and computer equipment accommodate rastor mapping, recording, and displaying of respective dislocation and grain boundary defect densities. A special etch procedure is included, which prepares the polycrystalline material surface to produce distinguishable intermediate and near specular light scattering in patterns that have statistical relevance to the dislocation and grain boundary defect densities.

  17. Defect mapping system

    DOE Patents [OSTI]

    Sopori, B.L.

    1995-04-11

    Apparatus for detecting and mapping defects in the surfaces of polycrystalline materials in a manner that distinguishes dislocation pits from grain boundaries includes a laser for illuminating a wide spot on the surface of the material, a light integrating sphere with apertures for capturing light scattered by etched dislocation pits in an intermediate range away from specular reflection while allowing light scattered by etched grain boundaries in a near range from specular reflection to pass through, and optical detection devices for detecting and measuring intensities of the respective intermediate scattered light and near specular scattered light. A center blocking aperture or filter can be used to screen out specular reflected light, which would be reflected by nondefect portions of the polycrystalline material surface. An X-Y translation stage for mounting the polycrystalline material and signal processing and computer equipment accommodate rastor mapping, recording, and displaying of respective dislocation and grain boundary defect densities. A special etch procedure is included, which prepares the polycrystalline material surface to produce distinguishable intermediate and near specular light scattering in patterns that have statistical relevance to the dislocation and grain boundary defect densities. 20 figures.

  18. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Hydrogen Maps

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

    Hydrogen Maps Below are some examples of how geographic information system (GIS) modeling is used in hydrogen infrastructure, demand, market and resource analyses. The JPG images are samples of the maps available in the following PDFs. Refer to the report for further information. Some of the following documents are available as Adobe Acrobat PDFs. Download Adobe Reader. Map of U.S. Hydrogen Infrastructure Demand - Consumer Strategy U.S. Hydrogen Infrastructure Demand - Consumer Strategy (JPG 129

  19. 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

  20. 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.....................................................

  1. Uses of upper-air meteorological data for air quality data analysis and modeling

    SciTech Connect (OSTI)

    Lindsey, C.G.; Dye, T.S.; Ray, S.E.; Roberts, P.T.

    1996-12-31

    A series of regional-scale field studies have been conducted in recent years to study meteorological and photochemical processes that lead to ozone episodes (periods of high ozone concentration) and other types of reduced air quality. An important component of these studies has been to increase the temporal and spatial resolution of aloft measurements of winds, temperatures, and related parameters over those provided by the twice-per-day National Weather Service (NWS) balloon sounding network. Supplemental upper-air stations deployed for these studies have been equipped with a variety of observing systems, including rawinsonde sounding systems, Doppler radar wind profilers, radio acoustic sounding systems (RASS, for temperature profiling), Doppler acoustic sounders (sodar), tethersondes, lidar, and aircraft-based measurements, among others. The upper-air data collected during these programs have been used.

  2. Hanford Meteorological Station computer codes: Volume 2, The PROD computer code

    SciTech Connect (OSTI)

    Andrews, G.L.; Buck, J.W.

    1987-09-01

    At the end of each work shift (day, swing, and graveyard), the Hanford Meteorological Station (HMS), operated by Pacific Northwest Laboratory, issues a forecast of the 200-ft-level wind speed and direction and the weather for use at B Plant and PUREX. These forecasts are called production forecasts. The PROD computer code is used to archive these production forecasts and apply quality assurance checks to the forecasts. The code accesses an input file, which contains the previous forecast's date and shift number, and an output file, which contains the production forecasts for the current month. A data entry form consisting of 20 fields is included in the program. The fields must be filled in by the user. The information entered is appended to the current production monthly forecast file, which provides an archive for the production forecasts. This volume describes the implementation and operation of the PROD computer code at the HMS.

  3. THE APPLICATION OF AN EVOLUTIONARY ALGORITHM TO THE OPTIMIZATION OF A MESOSCALE METEOROLOGICAL MODEL

    SciTech Connect (OSTI)

    Werth, D.; O'Steen, L.

    2008-02-11

    We show that a simple evolutionary algorithm can optimize a set of mesoscale atmospheric model parameters with respect to agreement between the mesoscale simulation and a limited set of synthetic observations. This is illustrated using the Regional Atmospheric Modeling System (RAMS). A set of 23 RAMS parameters is optimized by minimizing a cost function based on the root mean square (rms) error between the RAMS simulation and synthetic data (observations derived from a separate RAMS simulation). We find that the optimization can be efficient with relatively modest computer resources, thus operational implementation is possible. The optimization efficiency, however, is found to depend strongly on the procedure used to perturb the 'child' parameters relative to their 'parents' within the evolutionary algorithm. In addition, the meteorological variables included in the rms error and their weighting are found to be an important factor with respect to finding the global optimum.

  4. 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.

  5. Efficacy of Aerosol-Cloud Interactions Under Varying Meteorological Conditions: Southern Great Plains Vs. Pt. Reyes

    SciTech Connect (OSTI)

    Dunn, M.; Schwartz, S.; Kim, B.-G.; Miller, M.; Liu, Y.; Min, Q.

    2008-03-10

    Several studies have demonstrated that cloud dynamical processes such as entrainment mixing may be the primary modulator of cloud optical properties in certain situations. For example, entrainment of dry air alters the cloud drop size distribution by enhancing drop evaporation. However, the effect of entrainment mixing and other forms or turbulence is still quite uncertain. Although these factors and aerosol-cloud interactions should be considered together when evaluating the efficacy of aerosol indirect effects, the underlying mechanisms appear to be dependent upon each other. In addition, accounting for them is impossible with the current understanding of aerosol indirect effect. Therefore, careful objective screening and analysis of observations are needed to determine the extent to which mixing related properties affect cloud optical properties, apart from the aerosol first indirect effect. This study addresses the role of aerosol-cloud interactions in the context of varying meteorological conditions based on ARM data obtained at the Southern Great Plains (SGP) site in Oklahoma and at Pt. Reyes, California. Previous analyses of the continental stratiform clouds at the SGP site have shown that the thicker clouds of high liquid water path (LWP) tend to contain sub adiabatic LWPs. These sub adiabatic LWPs, which result from active mixing processes, correspond to a lower susceptibility of the clouds to aerosol-cloud interactions, and, hence, to reduced aerosol indirect effects. In contrast, the consistently steady and thin maritime stratus clouds observed at Pt. Reyes are much closer to adiabatic. These clouds provide an excellent benchmark for the study of the aerosol influence on modified marine clouds relative to continental clouds, since they form in a much more homogeneous meteorological environment than those at the continental site.

  6. Effects of downscaled high-resolution meteorological data on the PSCF identification of emission sources

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

    Cheng, Meng -Dawn; Kabela, Erik D.

    2016-04-30

    The Potential Source Contribution Function (PSCF) model has been successfully used for identifying regions of emission source at a long distance in this study, the PSCF model relies on backward trajectories calculated by the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. In this study, we investigated the impacts of grid resolution and Planetary Boundary Layer (PBL) parameterization (e.g., turbulent transport of pollutants) on the PSCF analysis. The Mellor-Yamada-Janjic (MYJ) and Yonsei University (YUS) parameterization schemes were selected to model the turbulent transport in the PBL within the Weather Research and Forecasting (WRF version 3.6) model. Two separate domain grid sizesmore » (83 and 27 km) were chosen in the WRF downscaling in generating the wind data for driving the HYSPLIT calculation. The effects of grid size and PBL parameterization are important in incorporating the influ- ence of regional and local meteorological processes such as jet streaks, blocking patterns, Rossby waves, and terrain-induced convection on the transport of pollutants by a wind trajectory. We found high resolution PSCF did discover and locate source areas more precisely than that with lower resolution meteorological inputs. The lack of anticipated improvement could also be because a PBL scheme chosen to produce the WRF data was only a local parameterization and unable to faithfully duplicate the real atmosphere on a global scale. The MYJ scheme was able to replicate PSCF source identification by those using the Reanalysis and discover additional source areas that was not identified by the Reanalysis data. In conclusion, a potential benefit for using high-resolution wind data in the PSCF modeling is that it could discover new source location in addition to those identified by using the Reanalysis data input.« less

  7. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Maps & Data Printable Version Share this resource Send a link to Alternative Fuels Data Center: Maps and Data to someone by E-mail Share Alternative Fuels Data Center: Maps and Data on Facebook Tweet about Alternative Fuels Data Center: Maps and Data on Twitter Bookmark Alternative Fuels Data Center: Maps and Data on Google Bookmark Alternative Fuels Data Center: Maps and Data on Delicious Rank Alternative Fuels Data Center: Maps and Data on Digg Find More places to share Alternative Fuels

  8. ANL's Map and Data Browser

    Energy Science and Technology Software Center (OSTI)

    1998-07-13

    The MaD browser is a web browser Java applet developed to display and interact with vector graphic (map) objects, relational database tables, and other data sources. It was designed for use in remedial action projects to quickly and widely disseminate sampling results but is generally applicable to many other mapping situations. Its primary value is its simplicity and general availability.

  9. A global map of urban extent from nightlights

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

    Zhou, Yuyu; Smith, Steven J.; Zhao, Kaiguang; Imhoff, Marc L.; Thomson, Allison M.; Bond-Lamberty, Benjamin; Asrar, Ghassem R.; Zhang, Xuesong; He, Chunyang; Elvidge, Christopher

    2015-05-13

    Urbanization, one of the major human induced land-cover and land-use changes, has a profound impact on the Earth system including biodiversity, the cycling of water and carbon and exchange of energy and water between Earth’s surface and atmosphere, all affecting weather and climate. Accurate information on urban areas and their spatial distribution at the regional and global scales is important for scientific understanding of their contribution to the changing Earth system, and for practical management and policy decisions. We developed a method to map the urban extent from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime stable-light data atmore » the global level and derived a new global map of 1-km urban extent for year 2000. Based on this map, we found that globally, urban land area is about 0.5% of total land area but ranges widely at regional level from 0.1% in Oceania to 2.3% in Europe. At the country level, urban land area varies from lower than 0.01% to higher than 10%, but is lower than 1% for most (70%) countries. Urbanization follows land mass distribution, as anticipated, with the highest concentration found between 30°N to 45°N latitude and the largest longitudinal peak around 80°W. Based on a sensitivity analysis and comparison with other global urban area products, we found that our global product of urban area provides a reliable estimate of global urban areas and offer the potential of capturing more accurately their spatial and temporal dynamics.« less

  10. A global map of urban extent from nightlights

    SciTech Connect (OSTI)

    Zhou, Yuyu; Smith, Steven J.; Zhao, Kaiguang; Imhoff, Marc L.; Thomson, Allison M.; Bond-Lamberty, Benjamin; Asrar, Ghassem R.; Zhang, Xuesong; He, Chunyang; Elvidge, Christopher

    2015-05-13

    Urbanization, one of the major human induced land-cover and land-use changes, has a profound impact on the Earth system including biodiversity, the cycling of water and carbon and exchange of energy and water between Earth’s surface and atmosphere, all affecting weather and climate. Accurate information on urban areas and their spatial distribution at the regional and global scales is important for scientific understanding of their contribution to the changing Earth system, and for practical management and policy decisions. We developed a method to map the urban extent from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime stable-light data at the global level and derived a new global map of 1-km urban extent for year 2000. Based on this map, we found that globally, urban land area is about 0.5% of total land area but ranges widely at regional level from 0.1% in Oceania to 2.3% in Europe. At the country level, urban land area varies from lower than 0.01% to higher than 10%, but is lower than 1% for most (70%) countries. Urbanization follows land mass distribution, as anticipated, with the highest concentration found between 30°N to 45°N latitude and the largest longitudinal peak around 80°W. Based on a sensitivity analysis and comparison with other global urban area products, we found that our global product of urban area provides a reliable estimate of global urban areas and offer the potential of capturing more accurately their spatial and temporal dynamics.

  11. Template:MappingHeader | Open Energy Information

    Open Energy Info (EERE)

    custom Geothermal banner, typically across the top of the page, which features a unique color scheme and simple menu. Parameters none Usage It should be called in the following...

  12. 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

  13. 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.

  14. 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.

  15. "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

  16. Tonopah Test Range Air Monitoring: CY2012 Meteorological, Radiological, and Airborne Particulate Observations

    SciTech Connect (OSTI)

    Mizell, Steve A; Nikolich, George; Shadel, Craig; McCurdy, Greg; Miller, Julianne J

    2013-07-01

    In 1963, the Atomic Energy Commission (AEC), predecessor to the US Department of Energy (DOE), implemented Operation Roller Coaster on the Tonopah Test Range (TTR) and an adjacent area of the Nevada Test and Training Range (NTTR) (formerly the Nellis Air Force Range (NAFR)). Operation Roller Coaster consisted of four tests in which chemical explosions were detonated in the presence of nuclear devices to assess the dispersal of radionuclides and evaluate the effectiveness of storage structures to contain the ejected radionuclides. These tests resulted in dispersal of plutonium over the ground surface downwind of the test ground zero. Three tests, Clean Slate 1, 2, and 3, were conducted on the TTR in Cactus Flat; the fourth, Double Tracks, was conducted in Stonewall Flat on the NTTR. DOE is working to clean up and close all four sites. Substantial cleaned up has been accomplished at Double Tracks and Clean Slate 1. Cleanup of Clean Slate 2 and 3 is on the DOE planning horizon for some time in the next several years. The Desert Research Institute installed two monitoring stations, number 400 at the Sandia National Laboratories Range Operations Center and number 401 at Clean Slate 3, in 2008 and a third monitoring station, number 402 at Clean Slate 1, in 2011 to measure radiological, meteorological, and dust conditions. The primary objectives of the data collection and analysis effort are to (1) monitor the concentration of radiological parameters in dust particles suspended in air, (2) determine whether winds are re-distributing radionuclides or contaminated soil material, (3) evaluate the controlling meteorological conditions if wind transport is occurring, and (4) measure ancillary radiological, meteorological, and environmental parameters that might provide insight to the above assessments. The following observations are based on data collected during CY2012. The mean annual concentration of gross alpha and gross beta is highest at Station 400 and lowest at Station 401. This difference may be the result of using filter media at Station 400 with a smaller pore size than the media used at the other two stations. Average annual gamma exposure at Station 401 is slightly greater than at Station 400 and 402. Average annual gamma exposure at all three TTR stations are in the upper range to slightly higher than values reported for the CEMP stations surrounding the TTR. At higher wind speeds, the saltation counts are greater at Station 401 than at Station 402 while the suspended particulate concentrations are greater at Station 402 than at Statin 401. Although these observations seem counterintuitive, they are likely the result of differences in the soil material present at the two sites. Station 401 is located on an interfluve elevated above two adjacent drainage channels where the soil surface is likely to be composed of coarser material. Station 402 is located in finer sediments at the playa edge and is also subject to dust from a dirt road only 500 m to the north. During prolonged high wind events, suspended dust concentrations at Station 401 peaked with the initial winds then decreased whereas dust concentrations at Station 402 peaked with each peak in the wind speed. This likely reflects a limited PM10 source that is quickly expended at Station 401 relative to an abundant PM10 source at Station 402. In CY2013, to facilitate comparisons between radiological analyses of collected dust, the filter media at all three stations will be standardized. In addition, a sequence of samples will be collected at Station 400 using both types of filter media to enable development of a mathematical relationship between the results derived from the two filter types. Additionally, having acquired approximately four years of observations at Stations 400 and 401 and a year of observations at Station 402, a period-of-record analysis of the radiological and airborne dust conditions will be undertaken.

  17. "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

  18. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005"

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

    2 Home Electronics Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Electronics Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,8.1,14.2,6.4 "Use a Personal

  19. "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

  20. "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

  1. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"

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

    7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Air Conditioning Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Cooling Equipment",17.8,4,2.1,1.4,10.3 "Have Cooling Equipment",93.3,16.5,23.5,39.3,13.9 "Use Cooling

  2. "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

  3. "Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"

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

    2 Home Electronics 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 Electronics Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,5.3,1.6 "Use a

  4. "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"

  5. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"

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

    7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Air Conditioning Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Do Not Have Cooling Equipment",17.8,4,2.4,1.7 "Have Cooling

  6. "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

  7. "Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"

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

    2 Home Electronics 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 Electronics Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Personal Computers" "Do Not Use a Personal Computer",35.5,8.1,5.6,2.5 "Use

  8. "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"

  9. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005"

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

    7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Air Conditioning Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Do Not Have Cooling Equipment",17.8,2.1,1.8,0.3 "Have Cooling

  10. "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"

  11. "Table HC13.12 Home Electronics Usage Indicators by South Census Region, 2005"

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

    2 Home Electronics 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 Electronics Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Personal Computers" "Do Not Use a Personal

  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 HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"

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

    7 Air-Conditioning Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Air Conditioning Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Cooling Equipment",17.8,1.4,0.8,0.2,0.3 "Have

  14. "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

  15. "Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"

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

    2 Home Electronics 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 Electronics Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.4,2.2,4.2 "Use a Personal

  16. "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

  17. "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

  18. "Table HC15.12 Home Electronics Usage Indicators by Four Most Populated States, 2005"

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

    2 Home Electronics Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Home Electronics Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Personal Computers" "Do Not Use a Personal Computer",35.5,3,2,2.7,3.1 "Use a Personal

  19. "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

  20. "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

  1. "Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005"

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

    7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Air Conditioning Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Do Not Have Cooling Equipment",17.8,1.8,"Q","Q",4.9 "Have Cooling Equipment",93.3,5.3,7,7.8,7.2

  2. "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

  3. "Table HC3.12 Home Electronics Usage Indicators by Owner-Occupied Housing Unit, 2005"

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

    2 Home Electronics 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 Electronics Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile

  4. "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"

  5. "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

  6. "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

  7. "Table HC4.12 Home Electronics Usage Indicators by Renter-Occupied Housing Unit, 2005"

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

    2 Home Electronics Usage Indicators by Renter-Occupied Housing Unit, 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--" "Home Electronics Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More

  8. "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

  9. "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

  10. "Table HC4.7 Air-Conditioning Usage Indicators by Renter-Occupied Housing Unit, 2005"

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

    7 Air-Conditioning 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--" "Air Conditioning Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile

  11. "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

  12. "Table HC8.12 Home Electronics Usage Indicators by Urban/Rural Location, 2005"

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

    2 Home Electronics Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Home Electronics Usage Indicators",,"City","Town","Suburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Personal Computers" "Do Not Use a Personal Computer",35.5,16.9,6.5,4.6,7.6 "Use a Personal

  13. "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

  14. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Biomass Maps

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

    Biomass Maps These maps illustrate the biomass resources generated in the United States by county. Biomass feedstock data are analyzed both statistically and graphically using a geographic information system (GIS). The following feedstock categories are evaluated: crop residues, forest residues, primary and secondary mill residues, urban wood waste, and methane emissions from animal manure, landfills, wastewater treatment, and industrial, institutional, and commercial organic waste (e.g. food

  15. Bouguer gravity map | Open Energy Information

    Open Energy Info (EERE)

    LibraryAdd to library Map: Bouguer gravity mapInfo GraphicMapChart Cartographers J. Behrendt and L. Bajwa Organization U.S. Geological Survey Published U.S. Geological...

  16. Department of Energy Idaho -Site Map

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

    Web Policies No Fear Act Site Map Privacy Phone Book You are here: DOE-ID Home > Site Map Site Map Manager's Welcome Inside ID DOE-ID Mission and Vision Brief History of the Idaho ...

  17. Denver Basin Map | Open Energy Information

    Open Energy Info (EERE)

    Basin Map Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Denver Basin Map Abstract This webpage contains a map of the Denver Basin. Published Colorado...

  18. HabiMap | Open Energy Information

    Open Energy Info (EERE)

    LibraryAdd to library : HabiMapInfo GraphicMapChart Abstract The Arizona Game and Fish Department developed HabiMap(tm) Arizona - a user-friendly, web-based data viewer - to...

  19. Meteorological measurements in the vicinity of a coal burning power plant

    SciTech Connect (OSTI)

    Crescenti, G.H.; Gaynor, J.E.

    1995-05-01

    High concentrations of sulfur dioxide (SO2) are commonly observed during the cool season in the vicinity of a 2.5 GW coal burning power plant located in the Mae Moh Valley of northern Thailand. The power plant is the source for nearly all of the observed SO2 since there are no other major industrial activities in this region. These high pollution fumigation events occur almost on a daily basis, usually lasting for several hours between late morning and early afternoon. One-hour average SO2 concentrations commonly exceed 1,000 micrograms/cu m. As a result, an increase in the number of respiratory type health complaints have been observed by local clinics during this time of the year. Meteorological data were acquired from a variety of observing platforms during an intensive field study from December 1993 to February 1994. The measurements included horizontal and vertical wind velocity, air temperature, relative humidity, and solar radiation. In addition, turbulent flux measurements were acquired by a sonic anemometer. SO2 measurements were made at seven monitoring sites scattered throughout the valley. These data were used to examine the atmospheric processes which are responsible for these high pollution fumigation events.

  20. Map | OpenEI Community

    Open Energy Info (EERE)

    Enabling Unique Visualization and Manipulation of Energy Data at Multiple Scales FRED Free Energy Data Map OpenEI Tool Visualization The U.S. Department of Energy, the Pacific...

  1. Maps of Selected State Subdivisions

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

    AK 00 - South Federal Offshore Map 2: California CA 50 - Coastal Region Onshore CA 90 - Los Angeles Basin Onshore CA 10 - San Joaquin Basin Onshore CA 05 - State Offshore CA 00 - ...

  2. Interactive Map Shows Geothermal Resources

    Broader source: Energy.gov [DOE]

    The free interactive online map posted recently by the Oregon Department of Geology and Mineral Industries is part of a U.S. Department of Energy project to expand the knowledge of geothermal energy potential nationwide.

  3. A map of the universe

    SciTech Connect (OSTI)

    Gott III, J. Richard; Juric, Mario; Schlegel, David; Hoyle, Fiona; Vogeley, Michael; Tegmark, Max; Bahcall, Neta; Brinkmann, Jon

    2003-10-20

    We have produced a new conformal map of the universe illustrating recent discoveries, ranging from Kuiper belt objects in the Solar system, to the galaxies and quasars from the Sloan Digital Sky Survey. This map projection, based on the logarithm map of the complex plane, preserves shapes locally, and yet is able to display the entire range of astronomical scales from the Earth s neighborhood to the cosmic microwave background. The conformal nature of the projection, preserving shapes locally, may be of particular use for analyzing large scale structure. Prominent in the map is a Sloan Great Wall of galaxies 1.37 billion light years long, 80 percent longer than the Great Wall discovered by Geller and Huchra and therefore the largest observed structure in the universe.

  4. Layer Information for Interactive State Maps

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

    GGulf of Mexico Fact Sheet PMajor Oil and Gas Plays SState Energy Profile Maps UU.S. ... including flood hazard zones, Flood Insurance Rate Map (FIRM) boundaries, Coastal ...

  5. Property:CoverageMap | Open Energy Information

    Open Energy Info (EERE)

    Inc., dba Minnesota Power Smart Grid Project + SmartGridMap-ALLETEMNPower.JPG + American Transmission Company LLC II Smart Grid Project + SmartGridMap-AmericanTransmissionII....

  6. Special Feature: Supercomputers Map Our Changing Climate

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

    Supercomputers Map Our Changing Climate Special Feature: Supercomputers Map Our Changing Climate September 23, 2013 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 ...

  7. Uranium Lease Tracts Location Map | Department of Energy

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

    Uranium Lease Tracts Location Map Uranium Lease Tracts Location Map Uranium Lease Tracts Location Map PDF icon Uranium Lease Tracts Location Map More Documents & Publications ...

  8. 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 of power supplies to computing needs, and improving the efficiency of individual components.

  9. Solar Resource and Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Escalante Tri-State - Prewitt, New Mexico (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  10. Solar Resource and Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Escalante Tri-State - Prewitt, New Mexico (Data)

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

    Wilcox, S.; Andreas, A.

    2012-11-03

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  11. Tonopah Test Range Air Monitoring. CY2014 Meteorological, Radiological, and Airborne Particulate Observations

    SciTech Connect (OSTI)

    Nikoloch, George; Shadel, Craig; Chapman, Jenny; Mizell, Steve A.; McCurdy, Greg; Etyemezian, Vicken; Miller, Julianne J.

    2015-10-01

    In 1963, the U.S. Department of Energy (DOE) (formerly the Atomic Energy Commission [AEC]), implemented Operation Roller Coaster on the Tonopah Test Range (TTR) and an adjacent area of the Nevada Test and Training Range (NTTR) (formerly the Nellis Air Force Range). This test resulted in radionuclide-contaminated soils at Clean Slate I, II, and III. This report documents observations made during ongoing monitoring of radiological, meteorological, and dust conditions at stations installed adjacent to Clean Slate I and Clean Slate III and at the TTR Range Operations Control center. The primary objective of the monitoring effort is to determine if winds blowing across the Clean Slate sites are transporting particles of radionuclide-contaminated soils beyond both the physical and administrative boundaries of the sites. Results for the calendar year (CY) 2014 monitoring are: (1) the gross alpha and gross beta values from the monitoring stations are approximately equivalent to the highest values observed during the CY2014 reporting at the surrounding Community Environmental Monitoring Program (CEMP) stations; (2) only naturally occurring radionuclides were identified in the gamma spectral analyses; (3) the ambient gamma radiation measurements indicate that the average annual gamma exposure is similar at all three monitoring stations and periodic intervals of increased gamma values appear to be associated with storm fronts passing through the area; and (4) the concentrations of both resuspended dust and saltated sand particles generally increase with increasing wind speed. Differences in the observed dust concentrations are likely the result of differences in the soil characteristics immediately adjacent to the monitoring stations. Neither the resuspended particulate radiological analyses nor the ambient gamma radiation measurements suggest wind transport of radionuclide-contaminated soils.

  12. Tonopah Test Range Air Monitoring: CY2013 Meteorological, Radiological, and Airborne Particulate Observations

    SciTech Connect (OSTI)

    Mizell, Steve A; Nikolich, George; Shadel, Craig; McCurdy, Greg; Etyemezian, Vicken; Miller, Julianne J

    2014-10-01

    In 1963, the U.S. Department of Energy (DOE) (formerly the Atomic Energy Commission [AEC]), implemented Operation Roller Coaster on the Tonopah Test Range (TTR) and an adjacent area of the Nevada Test and Training Range (NTTR) (formerly the Nellis Air Force Range). This test resulted in radionuclide-contaminated soils at Clean Slate I, II, and III. This report documents observations made during on-going monitoring of radiological, meteorological, and dust conditions at stations installed adjacent to Clean Slate I and Clean Slate III and at the TTR Range Operations Control center. The primary objective of the monitoring effort is to determine if winds blowing across the Clean Slate sites are transporting particles of radionuclide-contaminated soils beyond both the physical and administrative boundaries of the sites. Results for the calendar year (CY) 2013 monitoring include: (1) the gross alpha and gross beta values from the monitoring stations are approximately equivalent to the highest values observed during the CY2012 reporting at the surrounding Community Environmental Monitoring Program (CEMP) stations (this was the latest documented data available at the time of this writing); (2) only naturally occurring radionuclides were identified in the gamma spectral analyses; (3) the ambient gamma radiation measurements indicate that the average annual gamma exposure is similar at all three monitoring stations and periodic intervals of increased gamma values appear to be associated with storm fronts passing through the area; and (4) the concentrations of both resuspended dust and saltated sand particles generally increase with increasing wind speed. However, differences in the observed dust concentrations are likely due to differences in the soil characteristics immediately adjacent to the monitoring stations. Neither the resuspended particulate radiological analyses nor the ambient gamma radiation measurements suggest wind transport of radionuclide-contaminated soils.

  13. [A data collection program focused on hydrologic and meteorologic parameters in an Arctic ecosystem

    SciTech Connect (OSTI)

    Kane, D.

    1992-12-31

    The hydrologic cycle of an arctic watershed is dominated by such physical elements as snow, ice, permafrost, seasonally frozen soils, wide fluctuations in surface energy balance and phase change of snow and ice to water. At Imnavait basin, snow accumulation begins in September or early October and maximum snowpack water equivalent is reached just prior to the onset of ablation in mid May. No significant mid winter melt occurs in this basin. Considerable snowfall redistribution by wind to depressions and valley bottom is evident. Spring snowmelt on the North Slope of Alaska is the dominant hydrologic event of the year.This event provides most of the moisture for use by vegetation in the spring and early summer period. The mechanisms and timing of snowmelt are important factors in predicting runoff, the migrations of birds and large mammals and the diversity of plant communities. It is important globally due to the radical and abrupt change in the surface energy balance over vast areas. We were able to explore the trends and differences in the snowmelt process along a transect from the Brooks Range to the Arctic Coastal plain. Snowpack ablation was monitored at three sites. These data were analyzed along with meteorologic data at each site. The initiation of ablation was site specific being largely controlled by the complementary addition of energy from radiation and sensible heat flux. Although the research sites were only 115 km apart, the rates and mechanisms of snowmelt varied greatly. Usually, snowmelt begins at the mid-elevations in the foothills and progresses northerly toward the coast and southerly to the mountains. In the more southerly areas snowmelt progressed much faster and was more influenced by sensible heat advected from areas south of the Brooks Range. In contrast snowmelt in the more northerly areas was slower and the controlled by net radiation.

  14. [A data collection program focused on hydrologic and meteorologic parameters in an Arctic ecosystem

    SciTech Connect (OSTI)

    Kane, D.

    1992-01-01

    The hydrologic cycle of an arctic watershed is dominated by such physical elements as snow, ice, permafrost, seasonally frozen soils, wide fluctuations in surface energy balance and phase change of snow and ice to water. At Imnavait basin, snow accumulation begins in September or early October and maximum snowpack water equivalent is reached just prior to the onset of ablation in mid May. No significant mid winter melt occurs in this basin. Considerable snowfall redistribution by wind to depressions and valley bottom is evident. Spring snowmelt on the North Slope of Alaska is the dominant hydrologic event of the year.This event provides most of the moisture for use by vegetation in the spring and early summer period. The mechanisms and timing of snowmelt are important factors in predicting runoff, the migrations of birds and large mammals and the diversity of plant communities. It is important globally due to the radical and abrupt change in the surface energy balance over vast areas. We were able to explore the trends and differences in the snowmelt process along a transect from the Brooks Range to the Arctic Coastal plain. Snowpack ablation was monitored at three sites. These data were analyzed along with meteorologic data at each site. The initiation of ablation was site specific being largely controlled by the complementary addition of energy from radiation and sensible heat flux. Although the research sites were only 115 km apart, the rates and mechanisms of snowmelt varied greatly. Usually, snowmelt begins at the mid-elevations in the foothills and progresses northerly toward the coast and southerly to the mountains. In the more southerly areas snowmelt progressed much faster and was more influenced by sensible heat advected from areas south of the Brooks Range. In contrast snowmelt in the more northerly areas was slower and the controlled by net radiation.

  15. 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.

  16. Career Map: Technical Trainer/Instructor

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Technical Trainer/Instructor positions.

  17. Career Map: Training and Development Manager

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Training and Development Manager positions.

  18. Career Map: Power Systems/Transmission Engineer

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Power Systems and Transmission Engineer positions.

  19. Career Map: Site/Plant Manager

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Site/Plant Manager positions.

  20. Map labeling and its generalizations

    SciTech Connect (OSTI)

    Doddi, S. |; Marathe, M.V.; Mirzaian, A.; Moret, B.M.E.; Zhu, B. |

    1997-01-01

    Map labeling is of fundamental importance in cartography and geographical information systems and is one of the areas targeted for research by the ACM Computational Geometry Impact Task Force. Previous work on map labeling has focused on the problem of placing maximal uniform, axis-aligned, disjoint rectangles on the plane so that each point feature to be labeled lies at the corner of one rectangle. Here, we consider a number of variants of the map labeling problem. We obtain three general types of results. First, we devise constant-factor polynomial-time-approximation algorithms for labeling point features by rectangular labels, where the feature may lie anywhere on the boundary of its label region and where labeling rectangles may be placed in any orientation. These results generalize to the case of elliptical labels. Secondly, we consider the problem of labeling a map consisting of disjoint rectilinear fine segments. We obtain constant-factor polynomial-time approximation algorithms for the general problem and an optimal algorithm for the special case where all segments are horizontal. Finally, we formulate a bicriteria version of the map-labeling problem and provide bicriteria polynomial- time approximation schemes for a number of such problems.

  1. BrainMap `95 workshop

    SciTech Connect (OSTI)

    1995-12-31

    The fourth annual BrainMap workshop was held at La Mansion del Rio Hotel in San Antonio December 3--4, 1995. The conference title was ``Human Brain Mapping and Modeling.`` The meeting was attended by 137 registered participants and 30 observers from 82 institutions representing 12 countries. The meeting focused on the technical issues associated with brain mapping and modeling. A total of 23 papers were presented covering the following topics: spatial normalization and registration; functional image analysis; metanalysis and modeling; and new horizons in biological databases. The full program with abstracts was available on the Research Imaging Center`s web site. A book will be published by John Wiley and Sons prior to the end of 1998.

  2. Wind Career Map | Department of Energy

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

    Wind Career Map Wind Career Map This wind career map explores an expanding universe of wind energy occupations, describing diverse jobs across the industry, charting possible progression between them, and identifying the high-quality training necessary to do them well. View the text version here. While the Wind Career Map endeavors to cover many of the careers in wind energy, there are many occupations in this industry that are not included in this map, but are integral to the success of the

  3. Alternative Water Sources Map | Department of Energy

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

    Facilities » Water Efficiency » Alternative Water Sources Map Alternative Water Sources Map The Federal Energy Management Program (FEMP) created the Alternative Water Map to provide information about rainwater harvesting regulations throughout the United States. FEMP designed the map to help agencies decide where to implement rainwater harvesting projects. Click on a state to learn about the state's rainwater harvesting regulations and technical resources. Then double-click on the map to zoom

  4. "Table HC14.7 Air-Conditioning Usage Indicators by West Census Region, 2005"

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

    7 Air-Conditioning Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Air Conditioning Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Do Not Have Cooling Equipment",17.8,10.3,3.1,7.3 "Have Cooling Equipment",93.3,13.9,4.5,9.4 "Use Cooling

  5. 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.

  6. Meteorological and air quality impacts of increased urban albedo and vegetative cover in the Greater Toronto Area, Canada

    SciTech Connect (OSTI)

    Taha, Haider; Hammer, Hillel; Akbari, Hashem

    2002-04-30

    The study described in this report is part of a project sponsored by the Toronto Atmospheric Fund, performed at the Lawrence Berkeley National Laboratory, to assess the potential role of surface property modifications on energy, meteorology, and air quality in the Greater Toronto Area (GTA), Canada. Numerical models were used to establish the possible meteorological and ozone air-quality impacts of increased urban albedo and vegetative fraction, i.e., ''cool-city'' strategies that can mitigate the urban heat island (UHI), significantly reduce urban energy consumption, and improve thermal comfort, particularly during periods of hot weather in summer. Mitigation is even more important during critical heat wave periods with possible increased heat-related hospitalization and mortality. The evidence suggests that on an annual basis cool-city strategies are beneficial, and the implementation of such measures is currently being investigated in the U.S. and Canada. We simulated possible scenari os for urban heat-island mitigation in the GTA and investigated consequent meteorological changes, and also performed limited air-quality analysis to assess related impacts. The study was based on a combination of mesoscale meteorological modeling, Lagrangian (trajectory), and photochemical trajectory modeling to assess the potential meteorological and ozone air-quality impacts of cool-city strategies. As available air-quality and emissions data are incompatible with models currently in use at LBNL, our air-quality analysis was based on photochemical trajectory modeling. Because of questions as to the accuracy and appropriateness of this approach, in our opinion this aspect of the study can be improved in the future, and the air-quality results discussed in this report should be viewed as relatively qualitative. The MM5 meteorological model predicts a UHI in the order of 2 to 3 degrees C in locations of maxima, and about 1 degree C as a typical value over most of the urban area. Our si mulations suggest that cool-city strategies can typically reduce local urban air temperature by 0.5-1 degrees C; as more sporadic events, larger decreases (1.5 degrees C, 2.5-2.7 degrees C and 4-6 degrees C) were also simulated. With regard to ozone mixing ratios along the simulated trajectories, the effects of cool-city strategies appear to be on the order of 2 ppb, a typical decrease. The photochemical trajectory model (CIT) also simulates larger decreases (e.g., 4 to 8 ppb), but these are not taken as representative of the potential impacts in this report. A comparison with other simulations suggest very crudely that a decrease of this magnitude corresponds to significant ''equivalent'' decreases in both NOx and VOCs emissions in the region. Our preliminary results suggest that significant UHI control can be achieved with cool-cities strategies in the GTA and is therefore worth further study. We recommend that better input data and more accurate modeling schemes be used to carry out f uture studies in the same direction.

  7. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps

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

    Additional Resources Wind Prospector A web-based GIS applications designed to support resource assessment and data exploration associated with wind development. Wind Maps NREL's Geospatial Data Science Team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and is documented in the Wind Energy Resource Atlas of the United

  8. SNL-CRCV Map-580 to CRCV

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

    to be badged Sandia National Laboratories 7011 East Avenue Livermore, CA 94551 Parking Tesla Road CRF Parking 904 906 From OaklandSan Francisco Map Not to Scale Map Not to Scale...

  9. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity A Designed Protein Maps Brain Activity Print Wednesday, 28 October 2015 00:00 A team of scientists from the Howard Hughes Medical Institute's ...

  10. Google Crisis Map for Hurricane Sandy

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    The Google Crisis Map has power outage information, shelter and recovery centers, local emergency Twitter feeds, FEMA disaster declared areas and more. | This map is created and maintained by...

  11. RAPID MAPPING TOOL: AN ARCMAP EXTENSION

    SciTech Connect (OSTI)

    STEVE P. LINGER; PAUL M. RICH; DOUG WALTHER; MARC S. WITKOWSKI; MARCIA A. JONES; HARI S. KHALSA

    2002-06-18

    Cartographic production laboratories produce large volumes of maps for diverse customers. Turnaround time and consistency are key concerns. The Rapid Mapping Tool is an ArcMap based tool that enables rapid creation of maps to meet customer needs. This tool was constructed using VB/VBA, ArcObjects, and ArcGIS templates. The core capability of ArcMap is extended for custom map production by storing specifications associated with a map or template in a companion XML document. These specifications include settings and preferences used to create custom maps. The tool was developed as a component of an enterprise GIS, which enables spatial data management and delivery using ArcSDE, ArcIMS, Oracle, and a web-based request tracking system.

  12. Google maps | OpenEI Community

    Open Energy Info (EERE)

    queries developer Google maps maps multicolor result formats results Semantic Mediawiki Hi all, Recently, a couple of people on OpenEI have asked me how to do compound (or...

  13. Hawaii geologic map data | Open Energy Information

    Open Energy Info (EERE)

    geologic map data Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Hawaii geologic map data Published USGS, Date Not Provided DOI Not Provided Check for...

  14. Form:MapFile | Open Energy Information

    Open Energy Info (EERE)

    below to add to OpenEI. If the map is already in the database, you will be able to edit its existing information. AddEdit Map Retrieved from "http:en.openei.orgw...

  15. Maps

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

    Outreach Doing Business Expand Doing Business Skip navigation links Newsroom About Us Civil Rights - EEO Freedom of Information Act Investor Relations Library Privacy...

  16. Maps

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

    is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Contact LANL Directory 667-5061...

  17. Eastern Energy Zones Mapping Tool

    Broader source: Energy.gov [DOE]

    The Eastern Interconnection States’ Planning Council (EISPC) has released the Energy Zones (EZ) Mapping Tool, a free, web-based interactive tool that will help states and other stakeholders in the Eastern Interconnection identify geographic areas suitable for the development of clean energy resources (natural gas, sequestration or utilitization locations for C02 from coal, nuclear, and renewable) which can potentially provide significant amounts of new electric power generation.

  18. EJSCREEN: Environmental Justice Screening and Mapping Tool

    Broader source: Energy.gov [DOE]

    EJSCREEN is an environmental justice mapping and screening tool provided by the U.S. Environmental Protection Agency (EPA).

  19. Nanoscale Strain Maps Inside a Metal

    SciTech Connect (OSTI)

    Fensin, Saryu Jindal; Sandberg, Richard L.

    2015-11-03

    This report offers a description about the 3D strain mapping of small crystals using nanometer scale images.

  20. NREL: Measurements and Characterization - Scanning Defect Mapping

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

    Defect Mapping Using optical scattering in the scanning defect mapping system (SDMS) produces a way to quickly identify and map defect distributions in silicon semiconductor wafers. In this process, a wafer is first treated with a National-Renewable-Energy-Laboratory-developed etch of hydrofluoric, acetic, and nitric acids to enhance the light scattered by the defects. The SDMS moves the treated wafer across a stationary laser beam and maps the defects for each location on the wafer. The amount

  1. Geographic Resource Map of Frozen Pipe Probabilities

    Broader source: Energy.gov [DOE]

    Presentation slide details a resource map showing the probability of frozen pipes in the geographic United States.

  2. Field Mapping (Healy, 1970) | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping (Healy, 1970) Exploration Activity Details Location Unspecified Exploration Technique...

  3. MapReduce SVM Game

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

    Vineyard, Craig M.; Verzi, Stephen J.; James, Conrad D.; Aimone, James B.; Heileman, Gregory L.

    2015-08-10

    Despite technological advances making computing devices faster, smaller, and more prevalent in today's age, data generation and collection has outpaced data processing capabilities. Simply having more compute platforms does not provide a means of addressing challenging problems in the big data era. Rather, alternative processing approaches are needed and the application of machine learning to big data is hugely important. The MapReduce programming paradigm is an alternative to conventional supercomputing approaches, and requires less stringent data passing constrained problem decompositions. Rather, MapReduce relies upon defining a means of partitioning the desired problem so that subsets may be computed independently andmore » recom- bined to yield the net desired result. However, not all machine learning algorithms are amenable to such an approach. Game-theoretic algorithms are often innately distributed, consisting of local interactions between players without requiring a central authority and are iterative by nature rather than requiring extensive retraining. Effectively, a game-theoretic approach to machine learning is well suited for the MapReduce paradigm and provides a novel, alternative new perspective to addressing the big data problem. In this paper we present a variant of our Support Vector Machine (SVM) Game classifier which may be used in a distributed manner, and show an illustrative example of applying this algorithm.« less

  4. MapReduce SVM Game

    SciTech Connect (OSTI)

    Vineyard, Craig M.; Verzi, Stephen J.; James, Conrad D.; Aimone, James B.; Heileman, Gregory L.

    2015-08-10

    Despite technological advances making computing devices faster, smaller, and more prevalent in today's age, data generation and collection has outpaced data processing capabilities. Simply having more compute platforms does not provide a means of addressing challenging problems in the big data era. Rather, alternative processing approaches are needed and the application of machine learning to big data is hugely important. The MapReduce programming paradigm is an alternative to conventional supercomputing approaches, and requires less stringent data passing constrained problem decompositions. Rather, MapReduce relies upon defining a means of partitioning the desired problem so that subsets may be computed independently and recom- bined to yield the net desired result. However, not all machine learning algorithms are amenable to such an approach. Game-theoretic algorithms are often innately distributed, consisting of local interactions between players without requiring a central authority and are iterative by nature rather than requiring extensive retraining. Effectively, a game-theoretic approach to machine learning is well suited for the MapReduce paradigm and provides a novel, alternative new perspective to addressing the big data problem. In this paper we present a variant of our Support Vector Machine (SVM) Game classifier which may be used in a distributed manner, and show an illustrative example of applying this algorithm.

  5. Green River air quality model development: meteorological and tracer data, July/August 1982 field study in Brush Valley, Colorado

    SciTech Connect (OSTI)

    Whiteman, C.D.; Lee, R.N.; Orgill, M.M.; Zak, B.D.

    1984-06-01

    Meteorological and atmospheric tracer studies were conducted during a 3-week period in July and August of 1982 in the Brush Creek Valley of northwestern Colorado. The objective of the field experiments was to obtain data to evaluate a model, called VALMET, developed at PNL to predict dispersion of air pollutants released from an elevated stack located within a deep mountain valley in the post-sunrise temperature inversion breakup period. Three tracer experiments were conducted in the valley during the 2-week period. In these experiments, sulfur hexafluoride (SF/sub 6/) was released from a height of approximately 100 m, beginning before sunrise and continuing until the nocturnal down-valley winds reversed several hours after sunrise. Dispersion of the sulfur hexafluoride after release was evaluated by measuring SF/sub 6/ concentrations in ambient air samples taken from sampling devices operated within the valley up to about 8 km down valley from the source. An instrumented research aircraft was also used to measure concentrations in and above the valley. Tracer samples were collected using a network of radio-controlled bag sampling stations, two manually operated gas chromatographs, a continuous SF/sub 6/ monitor, and a vertical SF/sub 6/ profiler. In addition, basic meteorological data were collected during the tracer experiments. Frequent profiles of vertical wind and temperature structure were obtained with tethered balloons operated at the release site and at a site 7.7 km down the valley from the release site. 10 references, 63 figures, 50 tables.

  6. Map: Explore the National Labs | Department of Energy

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

    Map by Daniel Wood.

  7. CanGEA Fifth Annual Geothermal Conference Presentation - Mapping...

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

    CanGEA Fifth Annual Geothermal Conference Presentation - Mapping & Database Workshop CanGEA Fifth Annual Geothermal Conference Presentation - Mapping & Database Workshop Mapping ...

  8. Smart Grid Investment Grants: Map of Projects | Department of...

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

    Grants: Map of Projects Smart Grid Investment Grants: Map of Projects Map showing the distribution of project types awarded across the United States through the Smart Grid ...

  9. Building Technologies Office Projects Map | Department of Energy

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

    Building Technologies Office Projects Map Building Technologies Office Projects Map Welcome to the Building Technologies Office Projects Map. Here you will find listings for our ...

  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

    This analysis examines the relationship between energy demand and residential building attributes, demographic characteristics, and behavioral variables using the U.S. Department of Energys Residential Energy Consumption Survey 2005 microdata. This study investigates the applicability of the smooth backfitting estimator to statistical analysis of residential energy consumption via nonparametric regression. The methodology utilized in the study extends nonparametric additive regression via local linear smooth backfitting to categorical variables. The conventional methods used for analyzing residential energy consumption are econometric modeling and engineering simulations. This study suggests an econometric approach that can be utilized in combination with simulation results. A common weakness of previously used econometric models is a very high likelihood that any suggested parametric relationships will be misspecified. Nonparametric modeling does not have this drawback. Its flexibility allows for uncovering more complex relationships between energy use and the explanatory variables than can possibly be achieved by parametric models. Traditionally, building simulation models overestimated the effects of energy efficiency measures when compared to actual "as-built" observed savings. While focusing on technical efficiency, they do not account for behavioral or market effects. The magnitude of behavioral or market effects may have a substantial influence on the final energy savings resulting from implementation of various energy conservation measures and programs. Moreover, variability in behavioral aspects and user characteristics appears to have a significant impact on total energy consumption. Inaccurate estimates of energy consumption and potential savings also impact investment decisions. The existing modeling literature, whether it relies on parametric specifications or engineering simulation, does not accommodate inclusion of a behavioral component. This study 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. Metrics for comparison of crystallographic maps

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

    Urzhumtsev, Alexandre; Afonine, Pavel V.; Lunin, Vladimir Y.; Terwilliger, Thomas C.; Adams, Paul D.

    2014-10-01

    Numerical comparison of crystallographic contour maps is used extensively in structure solution and model refinement, analysis and validation. However, traditional metrics such as the map correlation coefficient (map CC, real-space CC or RSCC) sometimes contradict the results of visual assessment of the corresponding maps. This article explains such apparent contradictions and suggests new metrics and tools to compare crystallographic contour maps. The key to the new methods is rank scaling of the Fourier syntheses. The new metrics are complementary to the usual map CC and can be more helpful in map comparison, in particular when only some of their aspects,more » such as regions of high density, are of interest.« less

  12. Physical mapping of complex genomes

    DOE Patents [OSTI]

    Evans, G.A.

    1993-06-15

    A method for the simultaneous identification of overlapping cosmid clones among multiple cosmid clones and the use of the method for mapping complex genomes are provided. A library of cosmid clones that contains the DNA to be mapped is constructed and arranged in a manner such that individual clones can be identified and replicas of the arranged clones prepared. In preferred embodiments, the clones are arranged in a two dimensional matrix. In such embodiments, the cosmid clones in a row are pooled, mixed probes complementary to the ends of the DNA inserts in the pooled clones are synthesized, hybridized to a first replica of the library. Hybridizing clones, which include the pooled row, are identified. A second portion of clones is prepared by pooling cosmid clones that correspond to a column in the matrix. The second pool thereby includes one clone from the first portion pooled clones. This common clone is located on the replica at the intersection of the column and row. Mixed probes complementary to the ends of the DNA inserts in the second pooled portion of clones are prepared and hybridized to a second replica of the library. The hybridization pattern on the first and second replicas of the library are compared and cross-hybridizing clones, other than the clones in the pooled column and row, that hybridize to identical clones in the first and second replicas are identified. These clones necessarily include DNA inserts that overlap with the DNA insert in the common clone located at the intersection of the pooled row and pooled column. The DNA in the entire library may be mapped by pooling the clones in each of the rows and columns of the matrix, preparing mixed end-specific probes and hybridizing the probes from each row or column to a replica of the library. Since all clones in the library are located at the intersection of a column and a row, the overlapping clones for all clones in the library may be identified and a physical map constructed.

  13. Physical mapping of complex genomes

    DOE Patents [OSTI]

    Evans, Glen A.

    1993-01-01

    Method for simultaneous identification of overlapping cosmid clones among multiple cosmid clones and the use of the method for mapping complex genomes are provided. A library of cosmid clones that contains the DNA to be mapped is constructed and arranged in a manner such that individual clones can be identified and replicas of the arranged clones prepared. In preferred embodiments, the clones are arranged in a two dimensional matrix. In such embodiments, the cosmid clones in a row are pooled, mixed probes complementary to the ends of the DNA inserts int he pooled clones are synthesized, hybridized to a first replica of the library. Hybridizing clones, which include the pooled row, are identified. A second portion of clones is prepared by pooling cosmid clones that correspond to a column in the matrix. The second pool thereby includes one clone from the first portion pooled clones. This common clone is located on the replica at the intersection of the column and row. Mixed probes complementary to the ends of the DNA inserts in the second pooled portion of clones are prepared and hybridized to a second replica of the library. The hybridization pattern on the first and second replicas of the library are compared and cross-hybridizing clones, other than the clones in the pooled column and row, that hybridize to identical clones in the first and second replicas are identified. These clones necessarily include DNA inserts that overlap with the DNA insert int he common clone located at the intersection of the pooled row and pooled column. The DNA in the entire library may be mapped by pooling the clones in each of the rows and columns of the matrix, preparing mixed end-specific probes and hybridizing the probes from each row or column to a replica of the library. Since all clones in the library are located at the intersection of a column and a row, the overlapping clones for all clones in the library may be identified and a physical map constructed. In other preferred embodiments, the cosmid clones are arranged in a three dimensional matrix, pooled and compared in threes according to intersecting planes of the three dimensional matrix. Arrangements corresponding to geometries of higher dimensions may also be prepared and used to simultaneously identify overlapping clones in highly complex libraries with relatively few hybridization reactions.

  14. AreaMapWeb copy

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

    ORNL ETTP CITY OF OAK RIDGE MAP AREA (below) 170 170 62 162 162 62 62 61 61 62 61 95 95 61 61 58 95 62 129 321 411 411 321 321 129 11W 11E 11 70 11 11 70 11 11 70 70 40 40 140 140 40 75 40 40 40 640 640 75 75 75 75 61 62 ALCOA MARYVILLE LENOIR CITY FARRAGUT LOUDON OLIVER SPRINGS OAK RIDGE KNOXVILLE AIRPORT McGhee Tyson Municipal Airport (Knoxville Airport) Route between Knoxville Airport, Downtown Knoxville, and Oak Ridge area Take left lane for I-40 West to Nashville, Chattanooga No. 376A Oak

  15. CanGEA Fifth Annual Geothermal Conference Presentation - Mapping...

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

    Mapping and Energy & Water Life Cycle Analysis http:... Conference, "Digging Deep" Mapping & Database Workshop ... Stanford Reservoir Engineering Oregon Institute of ...

  16. Performance of a new wind updating system for a prognostic meteorological model in the environs of Mexico City

    SciTech Connect (OSTI)

    Williams, M.D.

    1993-12-31

    Los Alamos National Laboratory and Institute Mexicano del Petroleo are completely a joint study of options for improving air quality in Mexico City. The US Department of Energy supported the efforts of the Los Alamos investigators, while PEMEX supported the efforts of the Mexican researchers. One of the first steps in the process was to develop an understanding of the existing air quality situation. In this context we have modified a three-dimensional, prognostic, higher order turbulence model for atmospheric circulation (HOTMAC) to treat domains which include an urbanized area. This sophisticated meteorological model is required because of the complexity of the terrain and the relative paucity of meteorological data. Mexico City lies at an elevation of approximately 7500 feet above sea level in a ``U`` shaped basin which opens to the north. The city occupies a major part of the southwest portion of the basin. Upper level winds are provided by rawinsondes at the airport, while low-level winds are measured at several sites within the city. Many of the sites have obstructed upwind fetches for a variety of directions. During the wintertime when the worst air quality episodes occur, the winds are frequently light, and out of the northeast at lower levels, while above 1000 meters above the surface they are usually from the southwest. This means the winds are light within the city, but significant slope winds develop which influence the behavior of the pollutants. Frequently, the winds in the basin change as a seabreeze penetrates the basin from the northeast. The seabreeze produces a much different wind regime after its arrival in the late afternoon or early evening. This makes it important to update the winds in a realistic fashion.

  17. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Infrared Mapping Helps Optimize Catalytic Reactions Print Wednesday, 20 August 2014 07:59 A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ

  18. Digital Mapping Of Structurally Controlled Geothermal Features...

    Open Energy Info (EERE)

    GPS Units And Pocket Computers Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Digital Mapping Of Structurally Controlled Geothermal Features...

  19. POST 10/Truck Inspection Station (Map 3

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

    Station (Map 3) Changes Effective January 11, 2010 Pajarito Corridor Deliveries: Drivers of commercial delivery trucks headed to the Pajarito Corridor (Pajarito Road bounded...

  20. Tribal Energy Projects Map | Department of Energy

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

    and demonstrated the viability of installing renewable energy systems on tribal lands. Filter the map and table below by state, technology, or project category, or search for a ...

  1. Mapping Hydrothermal Upwelling and Outflow Zones: Preliminary...

    Open Energy Info (EERE)

    temperature anomaly has been mapped. A group of subtle temperature anomalies along Simpson Pass, south of the current production area, are interpreted as an upwelling zone with...

  2. OutageMapURL Phases Energy Services

    Open Energy Info (EERE)

    OutageMapURL Phases Energy Services County Electric Power Assn http outages county org A N Electric Coop Virginia AEP Generating Company https www aepaccount com zipr...

  3. APS Map | Overview | Advanced Photon Source

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

    technical facility: the linear accelerator, the booster synchrotron, the electron storage ring, insertion devices, and the experiment hall. APS systems map Next: Linear Accelerator...

  4. Speech processing using maximum likelihood continuity mapping

    DOE Patents [OSTI]

    Hogden, John E.

    2000-01-01

    Speech processing is obtained that, given a probabilistic mapping between static speech sounds and pseudo-articulator positions, allows sequences of speech sounds to be mapped to smooth sequences of pseudo-articulator positions. In addition, a method for learning a probabilistic mapping between static speech sounds and pseudo-articulator position is described. The method for learning the mapping between static speech sounds and pseudo-articulator position uses a set of training data composed only of speech sounds. The said speech processing can be applied to various speech analysis tasks, including speech recognition, speaker recognition, speech coding, speech synthesis, and voice mimicry.

  5. Digital Mapping Of Structurally Controlled Geothermal Features...

    Open Energy Info (EERE)

    : GRC; p. () Related Geothermal Exploration Activities Activities (1) Field Mapping At Brady Hot Springs Area (Coolbaugh, Et Al., 2004) Areas (1) Brady Hot Springs Area Regions...

  6. Mapping Particle Charges in Battery Electrodes

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

    Mapping Particle Charges in Battery Electrodes Print The deceivingly simple appearance of batteries masks their chemical complexity. A typical lithium-ion battery in a cell phone...

  7. Utility Data Accessibility Map | Open Energy Information

    Open Energy Info (EERE)

    utility company to see your electricity data access options. Select the Benchmarking or Demand ResponseEnergy Efficiency map to find out whether your utility provides sufficient...

  8. Maps: Exploration, Resources, Reserves, and Production - Energy...

    Gasoline and Diesel Fuel Update (EIA)

    ... Pursuant to Section 604 of the Energy Policy and Conservation Act, these maps are one ... button graphic button graphic Greater Green River Basin button graphic button graphic ...

  9. Spatially Resolved Quantitative Mapping for Thermal Analysis...

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

    Spatially Resolved Quantitative Mapping for Thermal Analysis Using Scanning Probe Microscopy ... This technique probes thermomechanical properties and phase transition temperatures of ...

  10. NREL: Wind Research - International Wind Resource Maps

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

    International Wind Resource Maps NREL is helping to develop high-resolution projections of wind resources worldwide. This allows for more accurate siting of wind turbines and has ...

  11. Energy Citations Database (ECD) - Site Map

    Office of Scientific and Technical Information (OSTI)

    Site Map Home Basic Search Fielded Search Document Availability About ECD Help FAQ Contact Us Website Policies and Important Links Alerts Log On Alerts Registration Alerts Help...

  12. Maps - U.S. Energy Information Administration (EIA)

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

    Maps Overview & General Energy Disruptions Interactive maps with energy infrastructure and real-time storm tracking Historical Disruption reports Gulf of Mexico Fact Sheet Flood Vulnerability Assessment Map - Interactive map that includes flood hazard information from FEMA as well as energy infrastructure layers. Country Analysis Briefs U.S. Census Region Map U.S. Climate Zones for 2003 Commercial Buildings Energy Consumption Survey (CBECS) U.S. Federal Region Map State Energy Profile Maps |

  13. Webinar: EISPC Energy Zones Mapping Tool Demonstration

    Broader source: Energy.gov [DOE]

    Argonne National Laboratory has organized a webinar demonstration of the Eastern Interconnection States’ Planning Council (EISPC) Energy Zones (EZ) Mapping Tool, a free online mapping tool for identifying areas in all 39 EISPC states that may be suitable for new clean power generation. The tool is maintained by Argonne National Laboratory with funding from the U.S. Department of Energy.

  14. Current trends in mapping human genes

    SciTech Connect (OSTI)

    Mckusick, V.A. )

    1991-01-01

    The human is estimated to have at least 50,000 expressed genes (gene loci). Some information is available concerning about 5,000 of these gene loci and about 1,900 have been mapped, i.e., assigned to specific chromosomes (and in most instances particular chromosome regions). Progress has been achieved by a combination of physical mapping (e.g., study of somatic cell hybrids and chromosomal in situ hybridization) and genetic mapping (e.g., genetic linkage studies). New methods for both physical and genetic mapping are expanding the armamentarium. The usefulness of the mapping information is already evident; the spin-off from the Human Genome Project (HGP) begins immediately. the complete nucleotide sequence is the ultimate map of the human genome. Sequencing, although already under way for limited segments of the genome, will await further progress in gene mapping, and in particular creation of contig maps for each chromosome. Meanwhile the technology of sequencing and sequence information handling will be developed.

  15. Task mapping for non-contiguous allocations.

    SciTech Connect (OSTI)

    Leung, Vitus Joseph; Bunde, David P.; Ebbers, Johnathan; Price, Nicholas W.; Swank, Matthew; Feer, Stefan P.; Rhodes, Zachary D.

    2013-02-01

    This paper examines task mapping algorithms for non-contiguously allocated parallel jobs. Several studies have shown that task placement affects job running time for both contiguously and non-contiguously allocated jobs. Traditionally, work on task mapping either uses a very general model where the job has an arbitrary communication pattern or assumes that jobs are allocated contiguously, making them completely isolated from each other. A middle ground between these two cases is the mapping problem for non-contiguous jobs having a specific communication pattern. We propose several task mapping algorithms for jobs with a stencil communication pattern and evaluate them using experiments and simulations. Our strategies improve the running time of a MiniApp by as much as 30% over a baseline strategy. Furthermore, this improvement increases markedly with the job size, demonstrating the importance of task mapping as systems grow toward exascale.

  16. The East Asia geographic map series

    SciTech Connect (OSTI)

    Terman, M.J.; Bell, E.P. )

    1990-06-01

    During the last 15 years, the Circum-Pacific Map Project Northwest Quadrant Panel (NWQP) has created a map inventory of geoscience data at a scale of 1:10,000,000. Now, for East Asia, a second set of thematic maps is being initiated cooperatively by the Circum-Pacific Council for Energy and Mineral Resources and the Committee for Coordination of Joint Prospecting for Mineral Resources in Asian Offshore Areas (CCOP). These new maps will constitute the East Asia Map Project, and they will present geoscience parameters at a scale of 1:2,000,000 that can be used to evaluate the potential for undiscovered resources with the application of new deposit modeling methodologies. The following map series are being compiled or are under consideration: geography, geotectonics, geophysics, mineral resources, energy resources, and hazards. The U.S, Geological Survey (USGS) is compiling the East Asia Geographic Map Series. Shorelines, rivers, and international boundaries have been computer plotted by the National Mapping Division from the most detailed version of the World Data Bank II (WDB II). This publicly available bank was hand digitized from a 1:3,000,000-scale global map compiled from a variety of sources. The East Asia series is composed of eight overlapping sheets with Lambert Azimuthal Equal-Area Projection having a common point of origin at 120{degree}E and 15{degree}N; neatlines for each sheet are 39{degree} {times} 54.4{degree}. Titles reflect each map's coverage: Sheet 1, Japan/Korea/Northeast China; Sheet 2, Southeast China; Sheet 3, Southeast Asia; Sheet 4, Philippines; Sheet 5, Malaysia/ West Indonesia; Sheet 6, East Indonesia; Sheet 7, Papua New Guinea/ Solomon Islands; and Sheet 8, Western Pacific Islands. Contours have been scribed by the USGS's Office of International Geology.

  17. Template:MappingToolsHeader | Open Energy Information

    Open Energy Info (EERE)

    to embed a custom banner, typically across the top of the page, which features a unique color scheme and simple menu. Parameters none Usage It should be called in the following...

  18. Allinea DDT and MAP Training 2015

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

    Allinea DDT and MAP Training 2015 Allinea DDT and MAP Training 2015 NERSC will host an in-depth training course on Allinea DDT, a graphical parallel debugger, and Allinea MAP, a graphical parallel performance profiler, on Thursday, May 14, 2015. This training class will be provided by an Allinea staff member teamed up with a USG consultant. If you would like your code to be used by the class for debugging or profiling in the hands-on session in the afternoon, please indicate that to us. We will

  19. User:Woodjr/Sandbox/GeoMap | Open Energy Information

    Open Energy Info (EERE)

    GeoMap < User:Woodjr | Sandbox Jump to: navigation, search Demonstration of an experimental "GeoMap" result format for ask queries. Based on Google's GeoMap Visualization API....

  20. MidAtlantic_Corridor_Map091707.pdf | Department of Energy

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

    MidAtlanticCorridorMap091707.pdf MidAtlanticCorridorMap091707.pdf PDF icon MidAtlanticCorridorMap091707.pdf More Documents & Publications DOE Designates Southwest Area and...

  1. Interpretive geothermal heat flow map of Colorado | Open Energy...

    Open Energy Info (EERE)

    geothermal heat flow map of ColoradoInfo GraphicMapChart Authors F.E. Berkman and C.J. Carroll Published Colorado Geological Survey Map Series, 2007 DOI Not Provided Check...

  2. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Biomass Data

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

    for maps has never been easier. A screen capture of the MapSearch Map view option Biomass Data These datasets represent the biomass resources available in the United States by...

  3. Field Mapping At Truckhaven Area (Layman Energy Associates, 2008...

    Open Energy Info (EERE)

    geothermal prospect is shown in Figure 4. This map was prepared by modifying Dibblee's (1984) map using the results of LEA's detailed field mapping in the vicinity of the...

  4. TCEQ - Map of Texas Groundwater Conservation Districts | Open...

    Open Energy Info (EERE)

    Map of Texas Groundwater Conservation Districts Jump to: navigation, search OpenEI Reference LibraryAdd to library Map: TCEQ - Map of Texas Groundwater Conservation DistrictsInfo...

  5. Technology Forum Map and List of Awardees' Posters and Exhibits...

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

    Technology Forum Map and List of Awardees' Posters and Exhibits Technology Forum Map and List of Awardees' Posters and Exhibits Technology Forum map and list of exhibits.pdf More...

  6. WINDExchange: Offshore 90-Meter Wind Maps and Wind Resource Potential

    Wind Powering America (EERE)

    Offshore 90-Meter Wind Maps and Wind Resource Potential The U.S. Department of Energy provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore wind potential that would be possible from developing the available offshore areas. The offshore wind resource maps can be used as a guide to identify regions for commercial wind development. A map of the United States showing offshore wind resource. Washington offshore wind map. Oregon offshore wind map. California

  7. Testing Hyperspectral Data for Geobatanical Anomaly Mapping,...

    Open Energy Info (EERE)

    Anomaly Mapping, Dixie Valley, Nevada, Geothermal Area Abstract NA Authors Nash and G. D. Published U.S. Department of Energy, 1997 Report Number NA DOI Not Provided Check...

  8. HCEI Road Map: 2011 Edition (Brochure)

    Broader source: Energy.gov [DOE]

    This road map outlines the 2011 key goals and strategies of the Hawaii Clean Energy Initiative, was founded based on a Memorandum of Understanding between the State of Hawaii and the U.S. Department of Energy in 2008.

  9. Potential Yield Mapping of Dedicated Energy Crops

    Broader source: Energy.gov [DOE]

    Breakout Session 1B—Integration of Supply Chains I: Breaking Down Barriers Potential Yield Mapping of Dedicated Energy Crops Chris Daly, Director, PRISM Climate Group, Oregon State University

  10. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity Print A team of scientists from the Howard Hughes ... a fluorescent protein (CaMPARI) that allows the permanent marking of active brain cells. ...

  11. 6.20 Mapping Human Brain Function

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

    0 612011 6.20 Mapping Human Brain Function Many mysteries of the human brain have been unraveled by positron emission tomography (PET), an imaging tool used worldwide to diagnose ...

  12. Mapping Particle Charges in Battery Electrodes

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

    The STXM capabilities at ALS Beamline 5.3.2 and 11.0.2 allow researchers to not only map the particles' charges in freeze frame, but also enable in situ tracking during the...

  13. CCRS Landcover Maps From Satellite Data

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

    Trishchenko, Alexander

    2008-01-15

    The Canadian Centre for Remote Sensing (CCRS) presents several landcover maps over the SGP CART site area (32-40N, 92-102W) derived from satellite data including AVHRR, MODIS, SPOT vegetation data, and Landsat satellite TM imagery.

  14. Solar America Initiative (Across America Map)

    SciTech Connect (OSTI)

    Not Available

    2007-06-01

    This factsheet gives an overview of the Solar America Initiative (SAI) using a map to show locations of the Solar America Cities, Solar America Showcases and other market transformation and research and development projects.

  15. Colon Cancer Mapping | GE Global Research

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

    "With GE's cancer mapping technology, we're enabling cancer to be viewed in ways it ... of proteins and nucleic acids (RNA and DNA) without destroying the integrity of the ...

  16. Data Collection and Mapping | Open Energy Information

    Open Energy Info (EERE)

    systems.2 In addition to the collection surface data, field mapping may be used to "ground truth" data collected by other methods, such as remote sensing. Water, gas, soil...

  17. ARM - Evaluation Product - Precipitation Radar Moments Mapped...

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

    We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Precipitation Radar Moments Mapped to a Cartesian Grid The Scanning...

  18. HCEI Road Map: 2011 Edition (Brochure)

    SciTech Connect (OSTI)

    Braccio, R.; Finch, P.

    2011-08-01

    This road map outlines the 2011 key goals and strategies of the Hawaii Clean Energy Initiative, was founded based on a Memorandum of Understanding between the State of Hawaii and the U.S. Department of Energy in 2008.

  19. Final Report - Three-dimensional minority carrier lifetime mapping...

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

    mapping of thin film semiconductors for solar cell applications Final Report - Three-dimensional minority carrier lifetime mapping of thin film semiconductors for solar cell ...

  20. Field Mapping (Monaster And Coolbaugh, 2007) | Open Energy Information

    Open Energy Info (EERE)

    Technique Field Mapping Activity Date Usefulness useful DOE-funding Unknown Notes Digital field mapping. References Francis C. Monastero, Mark F. Coolbaugh (2007) Advances In...

  1. Complete LNG Terminal Status Maps | Department of Energy

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

    Complete LNG Terminal Status Maps Complete LNG Terminal Status Maps A series of slides showing the status of various LNG terminals (existing, under construction, proposed, etc.) in...

  2. Symplectic Maps and Chromatic Optics in Particle Accelerators...

    Office of Scientific and Technical Information (OSTI)

    Symplectic Maps and Chromatic Optics in Particle Accelerators Citation Details In-Document Search Title: Symplectic Maps and Chromatic Optics in Particle Accelerators You are...

  3. WINDExchange: Residential-Scale 30-Meter Wind Maps

    Wind Powering America (EERE)

    Residential-Scale 30-Meter Wind Maps The U.S. Department of Energy provides 30-meter (m) height, high-resolution wind resource maps for the United States. Businesses, farms, and homeowners use residential-scale wind resource maps to identify wind sites that may be appropriate for small-scale wind projects. A wind resource map of the United States. Go to the California wind resource map. Go to the Washington wind resource map. Go to the Oregon wind resource map. Go to the Idaho wind resource map.

  4. Mitigation Action Plans and Scenarios (MAPS) | Open Energy Information

    Open Energy Info (EERE)

    Mitigation Action Plans and Scenarios (MAPS) (Redirected from CIFF-Chile-Mitigation Action Plans and Scenarios (MAPS)) Jump to: navigation, search Retrieved from "http:...

  5. Energy Department Announces New Mapping Initiative to Advance...

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

    Mapping Initiative to Advance North American Carbon Storage Efforts Energy Department Announces New Mapping Initiative to Advance North American Carbon Storage Efforts May 1, 2012 ...

  6. NREL: Wind Research - New Wind Resource Maps Reach Higher Heights

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

    capacity map at a 140-meter hub height. Photo courtesy of WINDExchange August 11, 2015 The National Renewable Energy Laboratory and AWS Truepower LLC recently released maps...

  7. NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

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

    Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building...

  8. Map of Low Temperature Direct Use Geothermal Facilities | Open...

    Open Energy Info (EERE)

    Map of Low Temperature Direct Use Geothermal Facilities Jump to: navigation, search Loading map... "format":"googlemaps3","type":"ROADMAP","types":"ROADMAP","SATELLITE","HYBRID",...

  9. DOE - Geothermal Energy Resources Map - Tribal | Open Energy...

    Open Energy Info (EERE)

    Geothermal Energy Resources Map - Tribal Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: DOE - Geothermal Energy Resources Map - Tribal Abstract This...

  10. Map Data: Recovery Act Funding | Department of Energy

    Energy Savers [EERE]

    Act Funding recoveryactfundingnumber.zip More Documents & Publications Map Data: Solar Energy Potential Map Data: Alternative Fuel Stations State Awards for Energy...

  11. Energy Map: Clean Energy for the Underserved | Open Energy Information

    Open Energy Info (EERE)

    Map: Clean Energy for the Underserved Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Map: Clean Energy for the Underserved AgencyCompany Organization: Ayllu &...

  12. Field Mapping At Olowalu-Ukumehame Canyon Area (Thomas, 1986...

    Open Energy Info (EERE)

    Mapping At Olowalu-Ukumehame Canyon Area (Thomas, 1986) Exploration Activity Details Location Olowalu-Ukumehame Canyon Area Exploration Technique Field Mapping Activity Date...

  13. Mapping Soil Carbon from Cradle to Grave: Identifying the Microbial...

    Office of Scientific and Technical Information (OSTI)

    Conference: Mapping Soil Carbon from Cradle to Grave: Identifying the Microbial Blueprint for Root-carbon Transformations in Soil Citation Details In-Document Search Title: Mapping...

  14. Map of Solar Power Plants | Open Energy Information

    Open Energy Info (EERE)

    Map of Solar Power Plants Jump to: navigation, search Loading map... "format":"googlemaps3","type":"ROADMAP","types":"ROADMAP","SATELLITE","HYBRID","TERRAIN","limit":2500,"offse...

  15. NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

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

    Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building ...

  16. REN21 Renewables Interactive Map | Open Energy Information

    Open Energy Info (EERE)

    Interactive Map1 The REN21 Renewables Interactive Map provides information on renewable energy policies, expansion targets, current shares, installed capacity, current...

  17. Photovoltaic Potential and Insolation Maps (Canada) | Open Energy...

    Open Energy Info (EERE)

    Insolation Maps (Canada) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Photovoltaic Potential and Insolation Maps (Canada) Focus Area: Renewable Energy Topics:...

  18. National Electric Transmission Congestion Study 2006 Area Maps

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

    Electric Transmission National Electric Transmission Congestion Study Congestion Study Congestion Area Maps Congestion Area Maps U.S. Department of Energy U.S. Department of Energy...

  19. BIOMAP Time-Enabled Mapping and Dissemination Tool for Biofuels...

    Open Energy Info (EERE)

    BIOMAP Time-Enabled Mapping and Dissemination Tool for Biofuels Projects Jump to: navigation, search Tool Summary LAUNCH TOOL Name: BIOMAP Time-Enabled Mapping and Dissemination...

  20. Argonne Site Map Showing CNM Location | Argonne National Laboratory

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

    Argonne Site Map Showing CNM Location Find your way to the Center for Nanoscale Materials on the Argonne National Laboratory campus. PDF icon CNM-Argonne_map

  1. Update on Tribal Issues - Mapping Tool, Policy Statement, and...

    Office of Environmental Management (EM)

    Issues - Mapping Tool, Policy Statement, and Protocol Manual Update on Tribal Issues - Mapping Tool, Policy Statement, and Protocol Manual Presentation made by Stuart Easson for...

  2. Water telescope's first sky map shows flickering black holes

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

    Water telescope's first sky map shows flickering black holes Water telescope's first sky map shows flickering black holes The High Altitude Water Cherenkov observatory has released ...

  3. Assessment and Mapping of the Riverine Hydrokinetic Resource...

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

    Assessment and Mapping of the Riverine Hydrokinetic Resource in the Continental United States Assessment and Mapping of the Riverine Hydrokinetic Resource in the Continental United ...

  4. Mapping and Assessment of the United States Ocean Wave Energy...

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

    Mapping and Assessment of the United States Ocean Wave Energy Resource Mapping and Assessment of the United States Ocean Wave Energy Resource This report describes the analysis and ...

  5. Assessment and Mapping of the Riverine Hydrokinetic Resource...

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

    and Mapping of the Riverine Hydrokinetic Resource in the Continental United States Assessment and Mapping of the Riverine Hydrokinetic Resource in the Continental United States ...

  6. Field Mapping At Salt Wells Area (Coolbaugh, Et Al., 2006) |...

    Open Energy Info (EERE)

    Basis Geochemical water sampling, mineral distribution mapping, and shallow (30 cm) temperature probe measurements were conducted to expand on a previous field mapping study...

  7. Property:OutageMapURL | Open Energy Information

    Open Energy Info (EERE)

    + Agralite Electric Coop + https:pyxis-oms.comOutageMapAgraliteOutageMap.html + Alfalfa Electric Coop, Inc + https:ebill.alfalfaelectric.comwoViewermapviewer.html?config...

  8. User:GregZiebold/Semantic Map test | Open Energy Information

    Open Energy Info (EERE)

    Semantic Map test < User:GregZiebold Jump to: navigation, search Try a semantic map: Check for pages with: Property:Coordinates ask: Category:Energy Initiatives...

  9. User:Nlangle/show map test | Open Energy Information

    Open Energy Info (EERE)

    show map test < User:Nlangle Jump to: navigation, search Loading map... "minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":"ROADMAP","SATELLITE","H...

  10. Battery and Electric Drive Manufacturing Distribution Map - American...

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

    Manufacturing Distribution Map - American Recovery and Reinvestment Act funding Battery and Electric Drive Manufacturing Distribution Map - American Recovery and Reinvestment Act ...

  11. Local Energy Assurance Planning: Map of States with Number of...

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

    States with Number of Cities Selected Local Energy Assurance Planning: Map of States with Number of Cities Selected Map of the United States identifying the States with cities ...

  12. Solar Resource & Meteorological Assessment Project (SOLRMAP): Southwest Solar Research Park (Formerly SolarCAT) Rotating Shadowband Radiometer (RSR); Phoenix, Arizona (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  13. Solar Resource & Meteorological Assessment Project (SOLRMAP): Southwest Solar Research Park (Formerly SolarCAT) Rotating Shadowband Radiometer (RSR); Phoenix, Arizona (Data)

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

    Wilcox, S.; Andreas, A.

    2010-09-27

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  14. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Print A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ using infrared microspectroscopy, while the state of the catalyst along the flow

  15. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Print A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ using infrared microspectroscopy, while the state of the catalyst along the flow

  16. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Print A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ using infrared microspectroscopy, while the state of the catalyst along the flow

  17. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Print A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ using infrared microspectroscopy, while the state of the catalyst along the flow

  18. SSRL Site Map | Stanford Synchrotron Radiation Lightsource

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

    Site Map Global Menu DOE Stanford SLAC SSRL LCLS AD PPA SUNCAT PULSE SIMES Main menu Home About SSRL What is SSRL? Director's Office Organization Advisory Panels History SSRL News SSRL News and Events Science Highlights Press Releases SSRL Newsletter Photon Science Seminars SSRL Presents User Resources User Resources User Portal Schedules Deadlines Forms & Applications Beam Lines Beam Lines Map By Number By Technique Photon Source Parameters SPEAR3 Status Science at SSRL Science at SSRL

  19. Effect of noise on the standard mapping

    SciTech Connect (OSTI)

    Karney, C.F.F.; Rechester, A.B.; White, R.B.

    1981-03-01

    The effect of a small amount of noise on the standard mapping is considered. Whenever the standard mapping possesses accelerator models (where the action increases approximately linearly with time), the diffusion coefficient contains a term proportional to the reciprocal of the variance of the noise term. At large values of the stochasticity parameter, the accelerator modes exhibit a universal behavior. As a result the dependence of the diffusion coefficient on stochasticity parameter also shows some universal behavior.

  20. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity A Designed Protein Maps Brain Activity Print Wednesday, 28 October 2015 00:00 A team of scientists from the Howard Hughes Medical Institute's Janelia Research Campus designed and validated via x-ray crystallographic studies a fluorescent protein (CaMPARI) that allows the permanent marking of active brain cells. The protein was then used to study live changes via fluorescence in the active nerve cells in brains of fruit flies, zebrafish, and mice. The Neural

  1. Mapping Particle Charges in Battery Electrodes

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

    Mapping Particle Charges in Battery Electrodes Mapping Particle Charges in Battery Electrodes Print Friday, 26 July 2013 14:18 The deceivingly simple appearance of batteries masks their chemical complexity. A typical lithium-ion battery in a cell phone consists of trillions of particles. When a lithium-ion battery is charged or discharged lithium ions move from one electrode to another, filling and unfilling individual, variably-sized battery particles. The rates of these processes determine how

  2. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Print A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ using infrared microspectroscopy, while the state of the catalyst along the flow

  3. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Print A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ using infrared microspectroscopy, while the state of the catalyst along the flow

  4. Infrared Mapping Helps Optimize Catalytic Reactions

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

    Infrared Mapping Helps Optimize Catalytic Reactions Print A pathway to more effective and efficient synthesis of pharmaceuticals and other flow-reactor chemical products has been opened by a study in which, for the first time, the catalytic reactivity inside a microreactor was mapped in high resolution from start to finish. The formation of different chemical products during the reactions was analyzed in situ using infrared microspectroscopy, while the state of the catalyst along the flow

  5. google-map-of-argonne-location

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

    goals NNSA Releases 2015 Enterprise Strategic Vision Today, we are pleased to announce the publication of the 2015 DOE/NNSA Enterprise Strategic Vision. This document aligns with the Department of Energy Strategic Plan for 2014-2018 and provides a framework for integrating our missions and direction for pursuing DOE's strategic goals. The...

    Google Map of Argonne Location Map of Building 222 (TRACC)- Green Arrow TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics

  6. Mapping the March to Methodical Materials

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

    Mapping the March to Methodical Materials Mapping the March to Methodical Materials Computational Chemistry Provides Proof of Popular MOF's Reactivity September 18, 2014 Contact: Kristin Manke, kristin.manke@pnnl.gov, +1 509.372.6011 marchmof Scientists from Pacific Northwest National Laboratory demonstrated the fundamental reactions that occur when synthesizing the building blocks of a metal-organic framework. Image: PNNL Selective and reactive, metal-organic frameworks (MOFs) could replace

  7. Special Feature: Supercomputers Map Our Changing Climate

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

    Supercomputers Map Our Changing Climate Special Feature: Supercomputers Map Our Changing Climate September 23, 2013 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 cam5-hurricane-2145950x400.jpg In this simulation, Berkeley researchers used the finite volume version of NCAR's Community Atmosphere Model to see how well the model can reproduced observed tropical cyclone statistics. The simulated storms seen in this animation are generated spontaneously from the model's simulated weather

  8. Variations in Map Products Demonstrated During the FRMAC Fukushima Daiichi Response

    SciTech Connect (OSTI)

    Pemberton, W. J.

    2012-04-03

    This presentation provides a brief summary of the Fukushima Daiichi disaster, discussion on map uses and production, early phase maps, intermediate phase maps, and late phase maps.

  9. Improved Meteorological Input for Atmospheric Release Decision support Systems and an Integrated LES Modeling System for Atmospheric Dispersion of Toxic Agents: Homeland Security Applications

    SciTech Connect (OSTI)

    Arnold, E; Simpson, M; Larsen, S; Gash, J; Aluzzi, F; Lundquist, J; Sugiyama, G

    2010-04-26

    When hazardous material is accidently or intentionally released into the atmosphere, emergency response organizations look to decision support systems (DSSs) to translate contaminant information provided by atmospheric models into effective decisions to protect the public and emergency responders and to mitigate subsequent consequences. The Department of Homeland Security (DHS)-led Interagency Modeling and Atmospheric Assessment Center (IMAAC) is one of the primary DSSs utilized by emergency management organizations. IMAAC is responsible for providing 'a single piont for the coordination and dissemination of Federal dispersion modeling and hazard prediction products that represent the Federal position' during actual or potential incidents under the National Response Plan. The Department of Energy's (DOE) National Atmospheric Release Advisory Center (NARAC), locatec at the Lawrence Livermore National Laboratory (LLNL), serves as the primary operations center of the IMAAC. A key component of atmospheric release decision support systems is meteorological information - models and data of winds, turbulence, and other atmospheric boundary-layer parameters. The accuracy of contaminant predictions is strongly dependent on the quality of this information. Therefore, the effectiveness of DSSs can be enhanced by improving the meteorological options available to drive atmospheric transport and fate models. The overall goal of this project was to develop and evaluate new meteorological modeling capabilities for DSSs based on the use of NASA Earth-science data sets in order to enhance the atmospheric-hazard information provided to emergency managers and responders. The final report describes the LLNL contributions to this multi-institutional effort. LLNL developed an approach to utilize NCAR meteorological predictions using NASA MODIS data for the New York City (NYC) region and demonstrated the potential impact of the use of different data sources and data parameterizations on IMAAC/NARAC fate and transport predictions. A case study involving coastal sea breeze circulation patterns in the NYC region was used to investigate the sensitivity of atmospheric dispersion results on the source of three-dimensional wind field data.

  10. Influences of emission sources and meteorology on aerosol chemistry in a polluted urban environment: results from DISCOVER-AQ California

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

    Young, D. E.; Kim, H.; Parworth, C.; Zhou, S.; Zhang, X.; Cappa, C. D.; Seco, R.; Kim, S.; Zhang, Q.

    2015-12-15

    The San Joaquin Valley (SJV) in California experiences persistent air quality problems associated with elevated particulate matter (PM) concentrations due to anthropogenic emissions, topography, and meteorological conditions. Thus it is important to unravel the various sources and processes that affect the physico-chemical properties of PM in order to better inform pollution abatement strategies and improve parameterizations in air quality models. moreAerosol Mass Spectrometer (HR-ToF-AMS) and an Ionicon Proton Transfer Reaction Time-of-Flight Mass Spectrometer (PTR-TOF-MS) as part of the NASA Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) campaign. The average submicron aerosol (PM1) concentration was 31.0 ?g m?3 and the total mass was dominated by organic aerosols (OA, 55 %), followed by ammonium nitrate (35 %). High PM pollution events were commonly associated with elevated OA concentrations, mostly from primary sources. Organic aerosols had average atomic oxygen-to-carbon (O / C), hydrogen-to-carbon (H / C), and nitrogen-to-carbon (N / C) ratios of 0.42, 1.70, and 0.017, respectively. Six distinct sources of organic aerosol were identified from positive matrix factorization (PMF) analysis of the AMS data: hydrocarbon-like OA (HOA; 9 % of total OA; O / C = 0.09) associated with local traffic, cooking OA (COA; 28 % of total OA; O / C = 0.19) associated with food cooking activities, two biomass burning OAs (BBOA1; 13 % of total OA; O / C = 0.33 and BBOA2; 20 % of total OA; O / C = 0.60) most likely associated with residential space heating from wood combustion, and semi-volatile oxygenated OA (SV-OOA; 16 % of total OA; O / C = 0.63) and low volatility oxygenated OA (LV-OOA; 24 % of total OA; O / C = 0.90) formed via chemical reactions in the atmosphere. Large differences in aerosol chemistry at Fresno were observed between the current campaign (winter 2013) and a~previous wintertime campaign (winter 2010), most notably that PM1 concentrations were nearly three times higher in 2013 than in 2010. These variations were attributed to differences in the meteorological conditions, which influenced primary emissions and secondary aerosol formation. In particular, COA and BBOA concentrations were greater in 2013 than 2010, where colder temperatures in 2013 likely resulted in increased biomass burning activities. The influence from a nighttime formed residual layer that mixed down in the morning was found to be much more intense in 2013 than 2010, leading to sharp increases in ground-level concentrations of secondary aerosol species including nitrate, sulfate, and OOA, in the morning between 08:00 to 12:00 PST. This is an indication that nighttime chemistry might also be higher in 2013. As solar radiation was stronger in 2013 the higher nitrate and OOA concentrations in 2013 could also be partly due to greater photochemical production of secondary aerosol species. The greater solar radiation and larger range in temperature in 2013 also likely led to both SV-OOA and LV-OOA being observed in 2013 whereas only a single OOA factor was identified in 2010.less

  11. North American extreme temperature events and related large scale meteorological patterns: A review of statistical methods, dynamics, modeling, and trends

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

    Grotjahn, Richard; Black, Robert; Leung, Ruby; Wehner, Michael F.; Barlow, Mathew; Bosilovich, Michael; Gershunov, Alexander; Gutowski, Jr., William J.; Gyakum, John R.; Katz, Richard W.; et al

    2015-05-22

    This paper reviews research approaches and open questions regarding data, statistical analyses, dynamics, modeling efforts, and trends in relation to temperature extremes. Our specific focus is upon extreme events of short duration (roughly less than 5 days) that affect parts of North America. These events are associated with large scale meteorological patterns (LSMPs). Methods used to define extreme events statistics and to identify and connect LSMPs to extreme temperatures are presented. Recent advances in statistical techniques can connect LSMPs to extreme temperatures through appropriately defined covariates that supplements more straightforward analyses. A wide array of LSMPs, ranging from synoptic tomore » planetary scale phenomena, have been implicated as contributors to extreme temperature events. Current knowledge about the physical nature of these contributions and the dynamical mechanisms leading to the implicated LSMPs is incomplete. There is a pressing need for (a) systematic study of the physics of LSMPs life cycles and (b) comprehensive model assessment of LSMP-extreme temperature event linkages and LSMP behavior. Generally, climate models capture the observed heat waves and cold air outbreaks with some fidelity. However they overestimate warm wave frequency and underestimate cold air outbreaks frequency, and underestimate the collective influence of low-frequency modes on temperature extremes. Climate models have been used to investigate past changes and project future trends in extreme temperatures. Overall, modeling studies have identified important mechanisms such as the effects of large-scale circulation anomalies and land-atmosphere interactions on changes in extreme temperatures. However, few studies have examined changes in LSMPs more specifically to understand the role of LSMPs on past and future extreme temperature changes. Even though LSMPs are resolvable by global and regional climate models, they are not necessarily well simulated so more research is needed to understand the limitations of climate models and improve model skill in simulating extreme temperatures and their associated LSMPs. Furthermore, the paper concludes with unresolved issues and research questions.« less

  12. NREL: Dynamic Maps, GIS Data, and Analysis Tools - MapSearch

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

    Bookmark and Share MapSearch MapSearch Logo is a computer monitor with a magnifying glass suspended in the air before it. Use our MapSearch to easily search our collection of maps created by the Geospatial Data Science Team. Please use the search box and the filters on the left of the screen to limit results. June 2013 - The NREL GIS team released a new version of the Mapsearch tool. This new version should eliminate some of the browser issues experienced with the previous tool. This latest

  13. Analysis of Web Based Solar Photovoltaic Mapping Tools

    Broader source: Energy.gov [DOE]

    A PV mapping tool visually represents a specific site and calculates PV system size and projected electricity production. This report identifies the commercially available solar mapping tools and thoroughly summarizes the source data type and resolution, the visualization software program being used, user inputs, calculation methodology and algorithms, map outputs, and development costs for each map.

  14. SSRL Beam Lines Map | Stanford Synchrotron Radiation Lightsource

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

    SSRL Beam Lines Map Beam Line by Number | Beam Line by Techniques | Photon Source Parameters

  15. MAP: Concentrating Solar Power Across the United States

    Broader source: Energy.gov [DOE]

    Explore our latest map, charting the location of concentrating solar power plants across the country.

  16. NREL: International Activities - India Solar Resource Maps & Data

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

    International Activities Printable Version A button that leads to NREL's National Solar Radiation Database (NSRDB) India Solar Resoource - Annual Average DNI Map Annual Average DNI Map JPG 12.5 MB India Annual Average GHI Map - Annual Average GHI Map Annual Average GHI Map JPG 13.3 MB The cover page of the India Solar Resource Data Fact Sheet India Solar Resource Data Fact Sheet PDF 395 KB India Solar Resource Maps & Data (updated March 2016) This page provides solar resource maps and data

  17. "Table HC1.3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"

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

    3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units" ,,"Heated Floorspace (square feet)" ,"Housing Units (millions)" ,,"Fewer than 500","500 to 999","1,000 to 1,499","1,500 to 1,999","2,000 to 2,499","2,500 to 2,999","3,000 or More" "Usage Indicators" "Total",111.1,6.1,27.7,26,17.6,10,"7 7.8",11.6 "No Main Space Heating

  18. "Table HC1.4 Cooled Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"

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

    4 Cooled Floorspace Usage Indicators, 2005" " Million U.S. Housing Units" ,,"Cooled Floorspace (square feet)" ,"Housing Units (millions)" ,,"Fewer than 500","500 to 999","1,000 to 1,499","1,500 to 1,999","2,000 to 2,499","2,500 to 2,999","3,000 or More" "Usage Indicators" "Total",111.1,49.2,15.1,15.6,11.1,7,5.2,8 "Have Cooling

  19. Turbine adapted maps for turbocharger engine matching

    SciTech Connect (OSTI)

    Tancrez, M.; Galindo, J.; Guardiola, C.; Fajardo, P.; Varnier, O.

    2011-01-15

    This paper presents a new representation of the turbine performance maps oriented for turbocharger characterization. The aim of this plot is to provide a more compact and suited form to implement in engine simulation models and to interpolate data from turbocharger test bench. The new map is based on the use of conservative parameters as turbocharger power and turbine mass flow to describe the turbine performance in all VGT positions. The curves obtained are accurately fitted with quadratic polynomials and simple interpolation techniques give reliable results. Two turbochargers characterized in an steady flow rig were used for illustrating the representation. After being implemented in a turbocharger submodel, the results obtained with the model have been compared with success against turbine performance evaluated in engine tests cells. A practical application in turbocharger matching is also provided to show how this new map can be directly employed in engine design. (author)

  20. NREL: Dynamic Maps, GIS Data, and Analysis Tools Home Page

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

    The Dynamic Maps, Geographic Information System (GIS) Data and Analysis Tools website provides maps, data and tools for renewable energy resources that determine which energy technologies are viable solutions in domestic and international regions. MapSearch - While this site contains detailed information and quality data, if you want to search for the latest and most up-to-date maps created by NREL, please visit our MapSearch: http://www.nrel.gov/gis/mapsearch/ Renewable Energy Technical

  1. Workforce Training for the Electric Power Sector: Map of Projects |

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

    Department of Energy Map of Projects Workforce Training for the Electric Power Sector: Map of Projects Map showing the number of projects awarded in each State through the Workforce Training for the Electric Power Sector grants under the American Recovery and Reinvestment Act. PDF icon Workforce Training for the Electric Power Sector: Map of Projects More Documents & Publications Smart Grid Investment Grants: Map of Projects Developing and Enhancing Workforce Training Programs: Number of

  2. Building Science-Based Climate Maps - Building America Top Innovation |

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

    Department of Energy Building Science-Based Climate Maps - Building America Top Innovation Building Science-Based Climate Maps - Building America Top Innovation Photo showing climate zone maps based on the IECC climate zone map. It may not be intuitively obvious why a U.S. climate zone map is so important to the construction industry. Thanks to this Building America Top Innovation, building science education, energy code development, and residential design can much more effectively integrate

  3. Poster - STIP Map | OSTI, US Dept of Energy, Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    STIP Map Document Files and References Available Downloads for this Document: applicationpdf icon Poster STIP Map

  4. A Cluster-based Method to Map Urban Area from DMSP/OLS Nightlights...

    Office of Scientific and Technical Information (OSTI)

    Accurate information of urban areas at regional and global scales is important for both the science and policy-making communities. The Defense Meteorological Satellite Program...

  5. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    propane Go Propane_li_by_state Propane Incentives and Laws, by State Propane_li_by_state View Map Graph Propane-stations Propane Fueling Station Locations by State Propane-stations View Map Graph 10561_expenditures_by_sector_20130906 Per Capita Energy Expenditures by Sector 10561_expenditures_by_sector_20130906 Trend of transportation and residential energy expenditures from 1970-2010 Last update September 2013 View Graph Graph Download Data Generated_thumb20140826-27944-1rznsji Alternative Fuel

  6. Mapping Particle Charges in Battery Electrodes

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

    of Energy Map: Projected Growth of the Wind Industry From Now Until 2050 Map: Projected Growth of the Wind Industry From Now Until 2050 Wind Vision See the projected growth of the wind industry over the next 35 years. Select a Year 2000 2010 2013 2020 2030 2050 All units are in gigawatts (GW). Only states with total capacity over 0.1 GW are included per year. Find out more about the data by reading the Wind Vision Report. You can download the data used for this graphic directly here.

  7. Eastern Energy Zones Mapping Tool Now Available

    Broader source: Energy.gov [DOE]

    The Eastern Interconnection States’ Planning Council (EISPC) has released the Energy Zones (EZ) Mapping Tool, a free, web-based interactive tool that will help states and other stakeholders in the Eastern Interconnection identify geographic areas suitable for the development of clean energy resources which can potentially provide significant amounts of new electric power generation.

  8. Figure ES1. Map of Northern Alaska

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

    Figure ES1. Map of Northern Alaska figurees1.jpg (61418 bytes) Source: Edited from U.S. Geological Survey, "The Oil and Gas Resource Potential of the Arctic National Wildlife Refuge 1002 Area, Alaska," Open File Report 98-34, 1999. Return to the Executive Summary.

  9. A monotonicity conjecture for real cubic maps

    SciTech Connect (OSTI)

    Dawson, S.P.; Galeeva, R.; Milnor, J.; Tresser, C.

    1993-12-01

    This will be an outline of work in progress. We study the conjecture that the topological entropy of a real cubic map depends ``monotonely`` on its parameters, in the sense that each locus of constant entropy in parameter space is a connected set. This material will be presented in more detail in a later paper.

  10. A 3D Geostatistical Mapping Tool

    Energy Science and Technology Software Center (OSTI)

    1999-02-09

    This software provides accurate 3D reservoir modeling tools and high quality 3D graphics for PC platforms enabling engineers and geologists to better comprehend reservoirs and consequently improve their decisions. The mapping algorithms are fractals, kriging, sequential guassian simulation, and three nearest neighbor methods.

  11. Optimal measurements and fixed-point maps

    SciTech Connect (OSTI)

    Dhara, Chirag; Hari Dass, N.D.

    2005-08-15

    When an optimal measurement of (S{sub x},S{sub y},S{sub z}) is made on a qubit and what we call a mutually unbiased mixture of the resulting ensembles is taken, then the post-measurement density matrix is shown to be related to the premeasurement density matrix through a simple linear relation. It is also shown that the form of this relation is the same for all quantum systems. It is shown that for a general quantum system such a relation holds only when the measurements are made in mutually unbiased bases. The post-measurement density matrix is shown to be a normalized incoherent superposition of the identity map and the pin map of Gorini and Sudarshan. A pin map is one which maps all density matrices to a fixed density matrix which in our case turns out to be the unit matrix. The result is shown to be true irrespective of whether the initial state is pure or mixed. For spin-1/2 systems it is also shown explicitly that nonorthogonal measurements fail to give such a linear relation no matter how the ensembles are mixed.

  12. MapReduceXMT v. Beta 0.1

    Energy Science and Technology Software Center (OSTI)

    2010-02-24

    The MapReduceXMT library ports the MapReduce framework onto the Cray XMT. MapReduce is a programming paradigm and an approach to data management for unstructured problems. It has gained relevance due to its ability to map serial operations onto parallel distributed architectures, significantly improving developer/analyst productivity. The MapReduceXMT implements the key aspects of MapReduce for the Cray XMT, a massively threaded system that is inherently difficult to program. MapReduceXMT allows users to utilize the machine effectivelymore » and efficiently without extensive training in multi-threaded programming. The MapReduceXMT library ports the MapReduce framework onto the Cray XMT. MapReduce is a programming paradigm and an approach to data management for unstructured problems. It has gained relevance due to its ability to map serial operations onto parallel distributed architectures, significantly improving developer/analyst productivity. The MapReduceXMT implements the key aspects of MapReduce for the Cray XMT, a massively threaded system that is inherently difficult to program. MapReduceXMT allows users to utilize the machine effectively and efficiently without extensive training in multi-threaded programming.« less

  13. 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

    The scientific community has recently experienced an overall effort to reduce the physical size of many experimental components to the nanometer size range. This size is unique as the characteristics of this regime involve aspects of pure physics, biology, and chemistry. One extensively studied example of a nanometer sized experimental component, which acts as a junction between these three principle scientific theologies, is deoxyribonucleic acid (DNA) or ribonucleic acid (RNA). These biopolymers not only contain the biological genetic guide to code for the production of life-sustaining materials, but are also being probed by physicists as a means to create electrical circuits and furthermore as controllable architectural and sensor motifs in the chemical disciplines. Possibly the most common nano-sized component between these sciences are nanoparticles composed of a variety of materials. The cross discipline employment of nanoparticles is evident from the vast amount of literature that has been produced from each of the individual communities within the last decade. Along these cross-discipline lines, this dissertation examines the use of several different types of nanoparticles with a wide array of surface chemistries to understand their adsorption properties and to construct unique miniaturized analytical and immunoassay platforms. This introduction will act as a literature review to provide key information regarding the synthesis and surface chemistries of several types of nanoparticles. This material will set the stage for a discussion of assembling ordered arrays of nanoparticles into functional platforms, architectures, and sensors. The introduction will also include a short explanation of the atomic force microscope that is used throughout the thesis to characterize the nanoparticle-based structures. Following the Introduction, four research chapters are presented as separate manuscripts. Chapter 1 examines the self-assembly of polymeric nanoparticles 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.

  14. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps Development

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

    Solar Maps Development - How the Maps Were Made 10km The State University of New York/Albany satellite radiation model was developed by Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages of atmospheric water vapor,

  15. U.S. Energy Information Administration (EIA) - Map

    Gasoline and Diesel Fuel Update (EIA)

    Petroleum and Other Liquids Natural Gas Refinery Capacity Natural Gas Processing Plants Map Uncheck or check an item to hide or show it in the map. Electric Power Plants (>100 MW) ...

  16. NREL: Wind Research - Wind Career Map Shows Wind Industry Career...

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

    Wind Career Map Shows Wind Industry Career Opportunities, Paths A screenshot of the wind career map showing the various points on a chart that show different careers in the wind...

  17. Activity Stream - Mapping and Assessment of the United States...

    Open Energy Info (EERE)

    Mapping and Assessment of the United States Ocean Wave Energy Resource 8 months ago Jay Huggins updated the dataset Mapping and Assessment of the United States Ocean Wave Energy...

  18. http://www.esri.com/data/data-maps/index.html

    National Nuclear Security Administration (NNSA)

    Overview Data & Maps content is preconfigured to work with ArcGIS products and provided at no additional cost for ArcGIS users. Data & Maps-DVD containing ready-to-use basemaps and...

  19. Map of Solar Power Plants/Data | Open Energy Information

    Open Energy Info (EERE)

    Map of Solar Power PlantsData < Map of Solar Power Plants Jump to: navigation, search Download a CSV file of the table below: CSV FacilityType Owner Developer EnergyPurchaser...

  20. Category:NREL Map Files | Open Energy Information

    Open Energy Info (EERE)

    Referen... 640 KB Eastern Visayas Philippines Wind Speed 100m-01.jpg Eastern Visayas Philip... 1.69 MB Electricity Price Map.jpg Electricity Price Map.jpg 1.53 MB Ethiopiametst...