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1

Facility Representatives  

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

DOE-STD-1063-2006 April 2006 Superseding DOE-STD-1063-2000 March 2000 DOE STANDARD FACILITY REPRESENTATIVES U.S. Department of Energy AREA MGMT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. NOT MEASUREMENT SENSITIVE DOE-STD-1063-2006 ii Available on the Department of Energy Technical Standards Program web site at http://www.eh.doe.gov/techstds/ DOE-STD-1063-2006 iii FOREWORD 1. This Department of Energy standard is approved for use by all DOE Components. 2. The revision to this DOE standard was developed by a working group consisting of headquarters and field participants. Beneficial comments (recommendations, additions, deletions) and any pertinent data that may improve this document should

2

Facility Representatives  

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

063-2011 063-2011 February 2011 Superseding DOE-STD-1063-2006 April 2006 DOE STANDARD FACILITY REPRESENTATIVES U.S. Department of Energy AREA MGMT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. NOT MEASUREMENT SENSITIVE DOE-STD-1063-2011 ii Available on the Department of Energy Technical Standards Program Web site at http://www.hss.doe.gov/nuclearsafety/ns/techstds/ DOE-STD-1063-2011 iii FOREWORD 1. This Department of Energy (DOE) standard is approved for use by all DOE/National Nuclear Security Administration (NNSA) Components. 2. The revision to this DOE standard was developed by a working group consisting of headquarters and field participants. Beneficial comments (recommendations,

3

Average Commercial Price  

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

Residential Price Average Commercial Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

4

AVERAGE SHIFTED HISTOGRAM  

Science Conference Proceedings (OSTI)

... LET YPPF = XCDF LET XPPF = YCDF. Default: None Synonyms: ASH is a synonym for the AVERAGE SHIFTED HISTOGRAM command. ...

2010-12-06T23:59:59.000Z

5

Facility Representative Program: 2000 Facility Representative Workshop  

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

0 Facility Representative Workshop 0 Facility Representative Workshop May 16-18, 2000 Las Vegas, NV Facility Rep of the Year Award | Attendees list | Summary Report [PDF] WORKSHOP AGENDA Tuesday, May 16, 2000 Theme for Day 1: Sustaining the Success of the Facility Representative Program 8:00 a.m. - Opening Remarks - Joe Arango, Facility Representative Program Manager 8:05 a.m. - Welcome - Kenneth Powers, Deputy Manager Nevada Operations Office 8:15 a.m. - Deputy Secretary Remarks - T. J. Glauthier, Deputy Secretary of Energy 8:30 a.m. - Keynote Address - Jerry Lyle, Assistant Manager for Environmental Management, Idaho Operations Office 9:00 a.m. - Facility Representative of the Year Presentation - Mark B. Whitaker, Departmental Representative 9:30 a.m. - Break 9:50 a.m. - Program Results and Goals - Joe Arango, Facility Representative Program Manager

6

The Shape of Averaged Drop Size Distributions  

Science Conference Proceedings (OSTI)

The shape of averaged drop size distributions (DSD) is studied from a large sample of data (892 h) collected at several sites of various latitudes. The results show that neither the hypothesis of an exponential distribution to represent rainfall ...

Henri Sauvageot; Jean-Pierre Lacaux

1995-04-01T23:59:59.000Z

7

average | OpenEI  

Open Energy Info (EERE)

average average Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (7 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

8

Facility Representative Program: 2012 Facility Representative...  

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

18, 2012 Las Vegas, NV Agenda | Presentations | SSO Annual Award | Pictures | Summary Report 2011 Facility Representative of the Year Award 2011 WINNER: Congratulations to Bradley...

9

Facility Representative Program: 2001 Facility Representative Workshop  

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

1 Facility Representative Workshop 1 Facility Representative Workshop May 15 - 17, 2001 Las Vegas, NV Facility Rep of the Year Award | Attendees list | Summary Report [PDF] WORKSHOP AGENDA Day 1: Tuesday, May 15, 2001 Theme: Program Successes and Challenges 8:00 a.m. - Logistics Announcements & Opening Remarks - Joe Arango, Facility Representative Program Manager 8:15 a.m. - Welcome - Debbie Monette, Assistant Manager for National Security, Nevada Operations Office 8:30 a.m. - Keynote Address - Ralph Erickson, National Nuclear Security Administration 9:00 a.m.- DOE Facility Representative of the Year Presentation - Mark B. Whitaker, Jr., Departmental Representative to the Defense Nuclear Facilities Safety Board 9:30 a.m. - Break 9:50 a.m. - Program Summary - Joe Arango 10:10 a.m. - Management Panel/Questions and Answers

10

Facility Representative Program: Facility Representative Program Sponsors  

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

Facility Representative Program Sponsors Facility Representative Program Sponsors There are 29 Facility Representative Program Sponsors Office Name Title E-Mail Phone ASO Larry Pendexter ES&H Div Dir (Argonne) larry.pendexter@ch.doe.gov 630-252-1485 BHSO Bob Desmarais Operations Management Division Director desmarai@bnl.gov 631-344-5434 CBFO Glenn Gamlin Facility Representative Supervisor glenn.gamlin@wipp.ws 575-234-8136 CBFO Casey Gadbury Operations Manager casey.gadbury@wipp.ws 575-234-7372 FSO Mark Bollinger Deputy Manager Mark.Bollinger@ch.doe.gov 630-840-8130 FSO John Scott FR Team Lead john.scott@ch.doe.gov 630-840-2250 HS-30 James O'Brien Director, Office of Nuclear Safety James.O'Brien@hq.doe.gov 301-903-1408 HS-32 Earl Hughes Facility Representative Program Manager Earl.Hughes@hq.doe.gov 202-586-0065

11

Facility Representative Program: 2010 Facility Representative Workshop  

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

10 Facility Representative Workshop 10 Facility Representative Workshop May 12 - 13, 2010 Las Vegas, NV Facility Rep of the Year Award | Attendees | Summary Report Workshop Agenda and Presentations Day 1: Wednesday, May 12, 2010 8:00 a.m. Opening Remarks James Heffner, Facility Representative Program Manager Earl Hughes, Safety System Oversight Program Manager Office of Nuclear Safety Policy and Assistance Office of Health, Safety and Security 8:15 a.m. Welcome from the Nevada Site Office John Mallin, Deputy Assistant Manager for Site Operations Nevada Site Office 8:30 a.m. Workshop Keynote Address Todd Lapointe Chief of Nuclear Safety Central Technical Authority Staff 9:15 a.m. Facility Representative and Safety System Oversight Award Ceremony James Heffner, Facility Representative Program Manager

12

Facility Representative Program: 2007 Facility Representative Workshop  

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

7 Facility Representative Workshop 7 Facility Representative Workshop May 15 - 17, 2007 Las Vegas, NV Facility Rep of the Year Award | Attendees list | Summary Report [PDF] WORKSHOP AGENDA Final Day 1: Tuesday, May 15, 2007 8:00 a.m. Opening Remarks Joanne Lorence, Facility Representative Program Manager 8:15 a.m. Welcome from the Nevada Site Office Gerald Talbot, Manager, Nevada Site Office 8:30 a.m. Videotaped Remarks from the Deputy Secretary The Honorable Clay Sell, Deputy Secretary of Energy 8:45 a.m. Keynote Address - Safety Oversight Perspective and Expectations Glenn Podonsky, Chief Health, Safety and Security Officer, Office of Health, Safety and Security 9:10 a.m. Facility Representative of the Year Presentation Mark B. Whitaker, Jr., Departmental Representative to the Defense Nuclear Facilities Safety Board,

13

Facility Representative Program: 2003 Facility Representative Workshop  

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

3 Facility Representative Workshop 3 Facility Representative Workshop May 13 - 15, 2003 Las Vegas, NV Facility Rep of the Year Award | Attendees list | Summary Report [PDF] WORKSHOP AGENDA Day 1: Tuesday, May 13, 2003 Theme: Program Successes and Challenges 8:00 a.m. John Evans, Facility Representative Program Manager 8:15 a.m. Welcome Kathleen Carlson Manager, Nevada Site Office 8:30 a.m. Keynote Address Savannah River Site and Facility Reps - A Shared History and Common Future Jeffrey M. Allison Manager, Savannah River Operations Office 9:00 a.m. Videotaped Remarks from the Deputy Secretary Kyle E. McSlarrow, Deputy Secretary of Energy 9:10 a.m. Facility Representative of the Year Presentation Mark B. Whitaker, Jr., Departmental Representative to the Defense Nuclear Facilities Safety Board

14

Facility Representative Program: 2000 Facility Representative...  

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

- Break 10:00 a.m. - Making Your Observations CountLeading Indicators - Mike Weis, Rocky Flats Field Office 10:45 a.m. - Facility Representative PanelQuestions and Answers (Ben...

15

DOE Average Results  

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

DOE DOE Average Results FY 12 DOE Target FY 12 Customer Perspective: Customer Satisfaction: -Timeliness 92 88 -Quality 94 92 Effective Service Partnership: -Extent of Customer Satisfaction with the responsiveness, etc. 90 92 Internal Business Perspective: Acquisition Excellence: -Extent to which internal quality control systems are effective 90 88 Most Effective Use of Contracting Approaches to Maximize Efficiency and Cost Effectiveness: Use of Competition: -% of total $'s obligated on competitive acquisitions >$3000 (Agency Level Only) 94 85 -% of acquisition actions competed for actions > $3000 (Agency Level Only) 65 68 Performance Based Acquisition: - % PBA actions relative to total eligible new acquisition actions (applicable to new actions > $25K) 82

16

Facility Representative Program: 2004 Facility Representative Workshop  

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

4 Facility Representative Workshop 4 Facility Representative Workshop May 18 - 20, 2004 Las Vegas, NV Facility Rep of the Year Award | Attendees list | Summary Report [PDF] WORKSHOP AGENDA Final Day 1: Tuesday, May 18, 2004 Theme: Program Successes and Challenges 8:00 a.m. Opening Remarks John Evans, Facility Representative Program Manager 8:15 a.m. Welcome Kathy Carlson, Nevada Site Office Manager 8:30 a.m. Videotaped Remarks from the Deputy Secretary Kyle E. McSlarrow, Deputy Secretary of Energy Deputy Secretary's Remarks 8:40 a.m. Keynote Address - NNSA Evaluation of Columbia Accident Investigation Board Report Brigadier General Ronald J. Haeckel, Principal Assistant Deputy Administrator for Military Applications, NNSA Other Information: NASA’S Columbia Accident Investigation Board Report

17

Facility Representative Program: 2006 Facility Representative Workshop  

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

6 Facility Representative Workshop 6 Facility Representative Workshop May 16 - 19, 2006 Knoxville, Tennessee Facility Rep of the Year Award | Attendees list | Summary Report [PDF] WORKSHOP AGENDA Final To view Pictures, scroll the mouse over the Picture icon To view Presentations, Picture Slideshows and Video, click on the icon Day 1: Tuesday, May 16, 2006 8:00 a.m. Opening Remarks John Evans, Facility Representative Program Manager 8:15 a.m. Welcome from Oak Ridge Office Gerald Boyd, Manager, Oak Ridge Office 8:25 a.m. Welcome from Y-12 Site Office Theodore Sherry, Manager, Y-12 Site Office 8:35 a.m. Videotaped Remarks from the Deputy Secretary The Honorable Clay Sell, Deputy Secretary of Energy 8:40 a.m. Keynote Address - Safety Oversight at Environmental Management Activities Dr. Inés Triay, Chief Operating Officer, Office of Environmental Management

18

Census Division Number of Average Monthly Average Retail Price...  

Gasoline and Diesel Fuel Update (EIA)

Average Monthly Average Retail Price Average Monthly Bill State Consumers Consumption (kWh) (Cents per Kilowatthour) (Dollar and cents) New England 34,271 67,907 12.55 8,520.25...

19

Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical way of postprocessing forecast ensembles to create predictive probability density functions (PDFs) for weather quantities. It represents the predictive PDF as a weighted average of PDFs centered on ...

J. Mc Lean Sloughter; Adrian E. Raftery; Tilmann Gneiting; Chris Fraley

2007-09-01T23:59:59.000Z

20

Property Representatives Lists- HQ  

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

These are the current lists of Headquarters Property Representatives. If you have any questions please contact:Ellen Hall, Office of Logistics Operations, (301) 903-2613.

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Dynamic Multiscale Averaging (DMA) of Turbulent Flow  

SciTech Connect

A new approach called dynamic multiscale averaging (DMA) for computing the effects of turbulent flow is described. The new method encompasses multiple applications of temporal and spatial averaging, that is, multiscale operations. Initially, a direct numerical simulation (DNS) is performed for a relatively short time; it is envisioned that this short time should be long enough to capture several fluctuating time periods of the smallest scales. The flow field variables are subject to running time averaging during the DNS. After the relatively short time, the time-averaged variables are volume averaged onto a coarser grid. Both time and volume averaging of the describing equations generate correlations in the averaged equations. These correlations are computed from the flow field and added as source terms to the computation on the next coarser mesh. They represent coupling between the two adjacent scales. Since they are computed directly from first principles, there is no modeling involved. However, there is approximation involved in the coupling correlations as the flow field has been computed for only a relatively short time. After the time and spatial averaging operations are applied at a given stage, new computations are performed on the next coarser mesh using a larger time step. The process continues until the coarsest scale needed is reached. New correlations are created for each averaging procedure. The number of averaging operations needed is expected to be problem dependent. The new DMA approach is applied to a relatively low Reynolds number flow in a square duct segment. Time-averaged stream-wise velocity and vorticity contours from the DMA approach appear to be very similar to a full DNS for a similar flow reported in the literature. Expected symmetry for the final results is produced for the DMA method. The results obtained indicate that DMA holds significant potential in being able to accurately compute turbulent flow without modeling for practical engineering applications.

Richard W. Johnson

2012-09-01T23:59:59.000Z

22

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

Table US8. Average Consumption by Fuels Used, 2005 Physical Units per Household Fuels Used (physical units of consumption per household using the fuel)

23

Industry Representatives Acknowledgements  

E-Print Network (OSTI)

computer science: Manitoba curriculum framework of outcomes. Draft Includes bibliographical references. ISBN 0-7711-3122-4 1. Computer scienceCurricula. 2. Computer scienceStudy and teaching (Secondary)Manitoba. 3. Electronic data processingCurricula. 4. Electronic data processingStudy and teaching (Secondary) Manitoba. I. Manitoba. Manitoba Education and Youth. Copyright 2003, the Crown in Right of Manitoba as represented by the Minister of Education and

Draft September Senior (s; Senior (s; Normand Chtel; Collge Bliveau; Louis Riel; School Division; Geoff Bresch; Scott Greenlay; Bruce Popham; David Tetlock

2003-01-01T23:59:59.000Z

24

Facility Representative Program  

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

Facility Representative Facility Representative Office of Nuclear Safety Home Facility Representative Home Annual Facility Rep Workshop › 2012 › 2011 › 2010 › 2009 › 2008 › 2007 › 2006 › 2005 › 2004 › 2003 › 2002 › 2001 › 2000 DOE Safety Links › ORPS Info › Operating Experience › DOE Lessons Learned › Accident Investigation Assessment Tools › FR CRADs › Surveillance Guides › Manager's Guide for Safety and Health Subject Matter Links General Program Information › Program Mission Statement › Program Directives and Guidance › FR of the Year Award Program › FR of the Year Award › FR Program Assessment Guide (Appendix B, DOE STD 1063-2011) FR Quarterly Performance Indicators Training & Qualification Information › Qualification Standards › Energy Online Courses

25

Grid-Averaged Surface Fluxes  

Science Conference Proceedings (OSTI)

This study examines the inadequacies of formulations for surface fluxes for use in numerical models of atmospheric flow. The difficulty is that numerical models imply spatial averaging over each grid area. Existing formulations am based on the ...

L. Mahrt

1987-08-01T23:59:59.000Z

26

Glossary Balancing Item: Represents  

Gasoline and Diesel Fuel Update (EIA)

Balancing Balancing Item: Represents differences between the sum of the components of natural gas supply and the sum of the components of natural gas disposition. These differences may be due to quantities lost or to the effects of data-report- ing problems. Reporting problems include differences due to the net result of conversions of flow data metered at varying temperature and pressure bases and converted to a standard temperature and pressure base; the effect of vari- ations in company accounting and billing practices; differ- ences between billing cycle and calendar period time frames; and imbalances resulting from the merger of data- reporting systems that vary in scope, format, definitions, and type of respondents. Biomass Gas: A medium Btu gas containing methane and carbon dioxide, resulting from the action of microorganisms on organic materials such as a landfill. British Thermal

27

High average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduces the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, Thomas P. (Pleasanton, CA)

1991-01-01T23:59:59.000Z

28

Core Measure Average KTR Results  

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

Measure Measure Average KTR Results FY 12 Target FY 12 DOE M&O CONTRACTOR (KTR) BSC RESULTS FY 2012 Customer Perspective and level of communication provided by the procurement office 95 92 Internal Business Perspective: Assessment (%) of the degree to which the purchasing system is in compliance with stakeholder requirements 97 Local Goals % Delivery on-time (includes JIT, excludes Purchase Cards) 88 84 % of total dollars obligated, on actions > $150K , that were awarded using effective competition 73 Local Goals Rapid Purchasing Techniques: -% of transactions placed by users 77 Local Goals -% of transactions placed through electronic commerce 62 Local Goals Average Cycle Time: -Average cycle time for <= $150K 8 6 to 9 days

29

West Texas Intermediate Spot Average ............................  

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

Crude Oil (dollars per barrel) Crude Oil (dollars per barrel) West Texas Intermediate Spot Average ............................ 102.88 93.42 92.24 87.96 94.34 94.10 105.84 96.30 95.67 95.33 95.67 93.33 94.12 97.64 95.00 Brent Spot Average ........................................................... 118.49 108.42 109.61 110.09 112.49 102.58 110.27 108.29 106.33 105.00 103.00 102.00 111.65 108.41 104.08 Imported Average .............................................................. 108.14 101.18 97.18 97.64 98.71 97.39 103.07 100.03 99.64 99.33 99.69 97.35 101.09 99.85 99.04 Refiner Average Acquisition Cost ...................................... 107.61 101.44 97.38 97.27 101.14 99.45 105.24 100.44 100.15 99.82 100.18 97.83 100.83 101.61 99.50 Liquid Fuels (cents per gallon) Refiner Prices for Resale Gasoline .........................................................................

30

Federal Interagency Chemistry Representatives (FICR) ...  

Science Conference Proceedings (OSTI)

Federal Interagency Chemistry Representatives (FICR) Meeting 2013 - A Federal Green Chemistry Forum. ...

2013-05-31T23:59:59.000Z

31

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

East Asia from NREL East Asia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

32

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Africa from NREL Africa from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

33

Variable Average Absolute Percent Differences  

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

Variable Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 1.0 42.6 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 35.2 18.6 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 34.7 19.7 Total Petroleum Consumption (Table 4) 6.2 66.5 Crude Oil Production (Table 5) 6.0 59.6 Petroleum Net Imports (Table 6) 13.3 67.0 Natural Gas Natural Gas Wellhead Prices (Constant $) (Table 7a) 30.7 26.1 Natural Gas Wellhead Prices (Nominal $) (Table 7b) 30.0 27.1 Total Natural Gas Consumption (Table 8) 7.8 70.2 Natural Gas Production (Table 9) 7.1 66.0 Natural Gas Net Imports (Table 10) 29.3 69.7 Coal Coal Prices to Electric Generating Plants (Constant $)** (Table 11a)

34

High-Average Power Facilities  

SciTech Connect

There has been significant progress in the development of high-power facilities in recent years yet major challenges remain. The task of WG4 was to identify which facilities were capable of addressing the outstanding R&D issues presently preventing high-power operation. To this end, information from each of the facilities represented at the workshop was tabulated and the results are presented herein. A brief description of the major challenges is given, but the detailed elaboration can be found in the other three working group summaries.

Dowell, David H.; /SLAC; Power, John G.; /Argonne

2012-09-05T23:59:59.000Z

35

Achronal averaged null energy condition  

Science Conference Proceedings (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent spacetime in semiclassical gravity in which ANEC is violated on a complete, achronal null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out closed timelike curves and wormholes connecting different asymptotically flat regions.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States) and Center for Theoretical Physics, Laboratory for Nuclear Science, and Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2007-09-15T23:59:59.000Z

36

Achronal averaged null energy condition  

E-Print Network (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent space-time in semiclassical gravity in which ANEC is violated on a complete, {\\em achronal} null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out wormholes and closed timelike curves.

Noah Graham; Ken D. Olum

2007-05-22T23:59:59.000Z

37

Calibrating Multimodel Forecast Ensembles with Exchangeable and Missing Members Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical postprocessing technique that generates calibrated and sharp predictive probability density functions (PDFs) from forecast ensembles. It represents the predictive PDF as a weighted average of PDFs ...

Chris Fraley; Adrian E. Raftery; Tilmann Gneiting

2010-01-01T23:59:59.000Z

38

Facility Representative Program: Facility Representative of the Year  

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

Facility Representative of the Year Award Facility Representative of the Year Award Annual Facility Representative Workshop Facility Representative of the Year Award Process Facility Representative of the Year Award 2012 WINNER: John C. Barnes, Savannah River Operations Office Letter from DNFSB Chairman Peter S. Winokur, Ph.D 2012 Nominees: Peter W. Kelley, Brookhaven Site Office James E. Garza, Idaho Operations Office (EM) William R. Watson, Idaho Operations Office (NE) Darlene S. Rodriguez, Los Alamos Field Office Robert R. Robb, Livermore Field Office Kenneth W. Wethington, Grand Junction Project Office's Moab site Thomas P. Denny, Nevada Field Office Michael J. Childers, NNSA Production Office Pantex Site Catherine T. Schidel, NNSA Production Office Y12 Site Chelsea D. Hubbard, Oak Ridge Operations Office (EM)

39

FAQS Reference Guide Facility Representative  

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

This reference guide addresses the competency statements in the October 2010 edition of DOE-STD-1151-2010, Facility Representative Functional Area Qualification Standard.

40

Spectral and Parametric Averaging for Integrable Systems  

E-Print Network (OSTI)

We analyze two theoretical approaches to ensemble averaging for integrable systems in quantum chaos - spectral averaging and parametric averaging. For spectral averaging, we introduce a new procedure - rescaled spectral averaging. Unlike traditional spectral averaging, it can describe the correlation function of spectral staircase and produce persistent oscillations of the interval level number variance. Parametric averaging, while not as accurate as rescaled spectral averaging for the correlation function of spectral staircase and interval level number variance, can also produce persistent oscillations of the global level number variance and better describes saturation level rigidity as a function of the running energy. Overall, it is the most reliable method for a wide range of statistics.

Tao Ma; R. A. Serota

2013-06-03T23:59:59.000Z

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Finding minimum representative pattern sets  

Science Conference Proceedings (OSTI)

Frequent pattern mining often produces an enormous number of frequent patterns, which imposes a great challenge on understanding and further analysis of the generated patterns. This calls for finding a small number of representative patterns to best ... Keywords: frequent pattern summarization, representative patterns

Guimei Liu; Haojun Zhang; Limsoon Wong

2012-08-01T23:59:59.000Z

42

Facility Representative Program: Qualification Standards  

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

Training & Qualification Information Training & Qualification Information Qualification Standards DOE Order Self-Study Modules DOE Fundamentals Handbooks Nuclear Safety Basis Self-Study Guide Energy Online Courses Available Link to National Training Center Basic Courses for Facility Representative Qualification Recommended Courses to Expand Facility Representative's Knowledge Base Qualification Standards General Technical Base Qualification Standard, Qualification Card & Reference Guide -- GTB Qualification Standard (DOE-STD-1146-2007), December 2007 [PDF] -- GTB Qualification Card, December 2007 [DOC] -- GTB "Gap" Qualification Card, December 2007 [DOC] -- GTB Qualification Standard Reference Guide, May 2008 [PDF] Facility Representative Qualification Standard, Qualification Card & Reference Guide

43

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

South America from NREL South America from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

44

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Central America and the Carribean from NREL Central America and the Carribean from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

45

Facility Representative Program: Basic Courses For Facility Representative  

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

Training & Qualification Information Training & Qualification Information Qualification Standards DOE Order Self-Study Modules DOE Fundamentals Handbooks Nuclear Safety Basis Self-Study Guide Energy Online Courses Available Link to National Training Center Basic Courses for Facility Representative Qualification Recommended Courses to Expand Facility Representative's Knowledge Base Basic Courses For Facility Rep Qualification (These courses may be beneficial during the initial qualification of Facility Representatives.) Course Title FR FAQS CN Point of Contact Comments Applied Engineering Fundamentals 13 days * See below Mike Schoener 803-641-8166 E-mail Course description at http://ntc.doe.gov course catalog Asbestos Awareness 2 hours 2.1 Federal employees register through the CHRIS system For course details see

46

Regret-minimizing representative databases  

Science Conference Proceedings (OSTI)

We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users have some utility or scoring functions; however, ...

Danupon Nanongkai; Atish Das Sarma; Ashwin Lall; Richard J. Lipton; Jun Xu

2010-09-01T23:59:59.000Z

47

Data Visualization Perceiving and Representing  

E-Print Network (OSTI)

Data Visualization Perceiving and Representing Structured Information using Objects #12;Data #12;Data Visualization Image Based vs Structure Theories s Template theories based on 2D image processing s In structural theories we extract the structure of a scene in terms of 3D primitives #12;Data

Chi, Ed Huai-hsin

48

Facility Representative Program: Facility Representative of the Year  

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

Facility Representative Facility Representative Office of Nuclear Safety Home Facility Representative Home Annual Facility Rep Workshop › 2012 › 2011 › 2010 › 2009 › 2008 › 2007 › 2006 › 2005 › 2004 › 2003 › 2002 › 2001 › 2000 DOE Safety Links › ORPS Info › Operating Experience › DOE Lessons Learned › Accident Investigation Assessment Tools › FR CRADs › Surveillance Guides › Manager's Guide for Safety and Health Subject Matter Links General Program Information › Program Mission Statement › Program Directives and Guidance › FR of the Year Award Program › FR of the Year Award › FR Program Assessment Guide (Appendix B, DOE STD 1063-2011) FR Quarterly Performance Indicators Training & Qualification Information › Qualification Standards › Energy Online Courses

49

On the Average Value of Correlated Time Series, with Applications in Dendroclimatology and Hydrometeorology  

Science Conference Proceedings (OSTI)

In a number of areas of applied climatology, time series are either averaged to enhance a common underlying signal or combined to produce area averages. How well, then, does the average of a finite number (N) of time series represent the ...

T. M. L. Wigley; K. R. Briffa; P. D. Jones

1984-02-01T23:59:59.000Z

50

Optimization Online - String-Averaging Projected Subgradient ...  

E-Print Network (OSTI)

Aug 29, 2013 ... Optimization Online. String-Averaging Projected Subgradient Methods for Constrained Minimization. Yair Censor(yair ***at*** math.haifa.ac.il)

51

Average Stock Levels: Crude Market & Propane  

U.S. Energy Information Administration (EIA)

This graph shows that propane was not alone in experiencing excess supply in 1998 and extraordinary stock builds. Note that the graph shows average stock levels ...

52

Bayesian curve estimation by model averaging  

Science Conference Proceedings (OSTI)

A Bayesian approach is used to estimate a nonparametric regression model. The main features of the procedure are, first, the functional form of the curve is approximated by a mixture of local polynomials by Bayesian model averaging (BMA), second, the ... Keywords: BIC criterion, Bayesian model averaging, Local polynomial regression, Nonparametric curve fitting, Robustness

Daniel Pea; Dolores Redondas

2006-02-01T23:59:59.000Z

53

Property:SalinityAverage | Open Energy Information  

Open Energy Info (EERE)

SalinityAverage SalinityAverage Jump to: navigation, search Property Name SalinityAverage Property Type Number Description Mean average of the low and high end measurements of the salinity [ppm] of the fluid. This is a property of type Page. Subproperties This property has the following 1 subproperty: C Coso Geothermal Area Pages using the property "SalinityAverage" Showing 19 pages using this property. A Amedee Geothermal Area + 975 + B Beowawe Hot Springs Geothermal Area + 700 + Blue Mountain Geothermal Area + 4300 + Brady Hot Springs Geothermal Area + 3500 + C Chena Geothermal Area + 325 + D Desert Peak Geothermal Area + 6700 + Dixie Valley Geothermal Area + 2295 + E East Mesa Geothermal Area + 3750 + G Geysers Geothermal Area + 217 + K Kilauea East Rift Geothermal Area + 18750 +

54

average air temperature | OpenEI  

Open Energy Info (EERE)

average air temperature average air temperature Dataset Summary Description (Abstract): Air Temperature at 10 m Above The Surface Of The Earth (deg C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Air Temperature at 10 m Above The Surface Of The Earth (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords average air temperature

55

Lagged Average Predictions in a Predictability Experiment  

Science Conference Proceedings (OSTI)

Lagged average predictions are examined here within the context of an idealized predictability experiment. Lagged predictions contribute to making better forecasts than the forecasts obtained from using only the latest initial state. Analytic ...

John O. Roads

1988-01-01T23:59:59.000Z

56

Probabilistic Visibility Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical postprocessing technique that has been used in probabilistic weather forecasting to calibrate forecast ensembles and generate predictive probability density functions (PDFs) for weather quantities. ...

Richard M. Chmielecki; Adrian E. Raftery

2011-05-01T23:59:59.000Z

57

A high average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduced the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, T.P.

1986-02-10T23:59:59.000Z

58

Average transmission probability of a random stack  

E-Print Network (OSTI)

The transmission through a stack of identical slabs that are separated by gaps with random widths is usually treated by calculating the average of the logarithm of the transmission probability. We show how to calculate the average of the transmission probability itself with the aid of a recurrence relation and derive analytical upper and lower bounds. The upper bound, when used as an approximation for the transmission probability, is unreasonably good and we conjecture that it is asymptotically exact.

Yin Lu; Christian Miniatura; Berthold-Georg Englert

2009-07-31T23:59:59.000Z

59

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (  

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

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" ,,"Choke","Average","Average","Fluid","Methanol","Water","Oil","Gas","Hyd. Eq.","Gas" ,"Choke","Setting","Upstream","Upstream","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery" "Date and Time","Setting","Duration","Pressure","Temp.","Rate","Rate","Rate","Rate","Rate","Rate","Portion" "dd-mmm-yy","(64ths)","(hours)","(psia)","(degF)","(bfpd)","(bfpd)","(bwpd)","(bopd)","(mmcfpd)","(boepd)","(%)"

60

Estimating Averaging Times for Point and Path-Averaged Measurements of Turbulence Spectra  

Science Conference Proceedings (OSTI)

Uncertainty over how long to average turbulence variables to achieve some desired level of statistical stability is a common concern in boundary-layer meteorology. Several models exist that predict averaging times for measurements of variances ...

Edgar L. Andreas

1988-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

The Effect of Spatial and Temporal Averaging on Sampling Strategies for Cloud Amount Data  

Science Conference Proceedings (OSTI)

Sampling and averaging strategies are as significant an influence upon the resulting cloud climatologies as the resolution of the original cloud archives. An investigation of total cloud amount data, as represented by the U.S. Air Force 3-...

N. A. Hughes; A. Henderson-Sellers

1983-03-01T23:59:59.000Z

62

Merging Seasonal Rainfall Forecasts from Multiple Statistical Models through Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Merging forecasts from multiple models has the potential to combine the strengths of individual models and to better represent forecast uncertainty than the use of a single model. This study develops a Bayesian model averaging (BMA) method for ...

Q. J. Wang; Andrew Schepen; David E. Robertson

2012-08-01T23:59:59.000Z

63

Facility Representative Program: Program Mission Statement  

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

General Program Information Program Mission Statement Program Directives and Guidance Facility Representative of the Year Award Program Facility Representative of the Year Award FR...

64

Status of Average-x from Lattice QCD  

Science Conference Proceedings (OSTI)

As algorithms and computing power have advanced, lattice QCD has become a precision technique for many QCD observables. However, the calculation of nucleon matrix elements remains an open challenge. I summarize the status of the lattice effort by examining one observable that has come to represent this challenge, average-x: the fraction of the nucleon's momentum carried by its quark constituents. Recent results confirm a long standing tendency to overshoot the experimentally measured value. Understanding this puzzle is essential to not only the lattice calculation of nucleon properties but also the broader effort to determine hadron structure from QCD.

Dru Renner

2011-09-01T23:59:59.000Z

65

World average top-quark mass  

SciTech Connect

This paper summarizes a talk given at the Top2008 Workshop at La Biodola, Isola d Elba, Italy. The status of the world average top-quark mass is discussed. Some comments about the challanges facing the experiments in order to further improve the precision are offered.

Glenzinski, D.; /Fermilab

2008-01-01T23:59:59.000Z

66

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 report, Staff Forecast: Retail Electricity Prices, 2005 to 2018, was prepared with contributions from the technical assistance provided by Greg Broeking of R.W. Beck, Inc. in preparing retail price forecasts

67

Exact bounds for average pairwise network reliability  

Science Conference Proceedings (OSTI)

Several methods for finding exact bounds of average pairwise network connectivity (APNC) are proposed. These methods allows faster decision making about if a network is reliable for its purpose. Previous results on cumulitive updating of all-terminal ... Keywords: algorithm, network reliability, pairwise connectivity

Alexey Rodionov; Olga Rodionova

2013-01-01T23:59:59.000Z

68

Sources Of Average Individual Radiation Exposure  

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

Of Average Individual Radiation Exposure Of Average Individual Radiation Exposure Natural background Medical Consumer products Industrial, security, educational and research Occupational 0.311 rem 0.300 rem 0.013 rem 0.0003 rem 0.0005 rem Savannah River Nuclear Solutions, LLC, provides radiological protection services and oversight at the Savannah River Site (SRS). These services include radiation dose measurements for persons who enter areas where they may be exposed to radiation or radioactive material. The results are periodically reported to monitored individuals. The results listed are based on a radiation dose system developed by the International Commission on Radiation Protection. The system uses the terms "effective dose," "equivalent dose" and units of rem. You may be more familiar with the term "millirem" (mrem), which is 1/1000 of a rem.

69

Fat turnover in obese slower than average  

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

9-04 9-04 For immediate release: 09/23/2011 | NR-11-09-04 Fat turnover in obese slower than average Anne M Stark, LLNL, (925) 422-9799, stark8@llnl.gov Printer-friendly This scanning electron micrograph image shows part of a lobule of adipose tissue (body fat). Adipose tissue is specialized connective tissue that functions as the major storage site for fat. Photo courtesy of David Gregory & Debbie Marshall/Wellcome Images LIVERMORE, Calif. -- It may be more difficult for obese people to lose fat because the "turnover" rate is much slower for those overweight than average weight individuals. New research in the Sept. 25 online edition of the journal Nature shows that the turnover (storage and loss rate) of fat in the human body is about 1 1/2 years compared to fat cells, which turnover about every 10 years,

70

Natural Gas Prices: Well Above Recent Averages  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The recent surge in spot prices at the Henry Hub are well above a typical range for 1998-1999 (in this context, defined as the average, +/- 2 standard deviations). Past price surges have been of short duration. The possibility of a downward price adjustment before the end of next winter is a source of considerable risk for storage operators who acquire gas at recent elevated prices. Storage levels in the Lower 48 States were 7.5 percent below the 5-year average (1995-1999) by mid-August (August 11), although the differential is only 6.4 percent in the East, which depends most heavily on storage to meet peak demand. Low storage levels are attributable, at least in part, to poor price incentives: high current prices combined with only small price

71

HIGH AVERAGE POWER OPTICAL FEL AMPLIFIERS.  

SciTech Connect

Historically, the first demonstration of the optical FEL was in an amplifier configuration at Stanford University [l]. There were other notable instances of amplifying a seed laser, such as the LLNL PALADIN amplifier [2] and the BNL ATF High-Gain Harmonic Generation FEL [3]. However, for the most part FELs are operated as oscillators or self amplified spontaneous emission devices. Yet, in wavelength regimes where a conventional laser seed can be used, the FEL can be used as an amplifier. One promising application is for very high average power generation, for instance FEL's with average power of 100 kW or more. The high electron beam power, high brightness and high efficiency that can be achieved with photoinjectors and superconducting Energy Recovery Linacs (ERL) combine well with the high-gain FEL amplifier to produce unprecedented average power FELs. This combination has a number of advantages. In particular, we show that for a given FEL power, an FEL amplifier can introduce lower energy spread in the beam as compared to a traditional oscillator. This properly gives the ERL based FEL amplifier a great wall-plug to optical power efficiency advantage. The optics for an amplifier is simple and compact. In addition to the general features of the high average power FEL amplifier, we will look at a 100 kW class FEL amplifier is being designed to operate on the 0.5 ampere Energy Recovery Linac which is under construction at Brookhaven National Laboratory's Collider-Accelerator Department.

BEN-ZVI, ILAN, DAYRAN, D.; LITVINENKO, V.

2005-08-21T23:59:59.000Z

72

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

73

Solar: monthly and annual average direct normal (DNI) GIS data at 40km for  

Open Energy Info (EERE)

km for km for Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

74

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

75

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

76

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

77

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

78

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to

79

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

80

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

82

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The

83

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

84

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

85

Solar: annual average direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

GIS data at 10km resolution for GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

86

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function  

E-Print Network (OSTI)

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function Ken relaxation length, v sat ø h''i (¸ 0:05¯m), the energy distribution function is not well described calculation of impact ionization coefficient requires the use of a high energy distribution function because

Dunham, Scott

87

Facility Representative of the Year Award  

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

REPRESENTATIVE OF THE YEAR AWARD PROGRAM REPRESENTATIVE OF THE YEAR AWARD PROGRAM OBJECTIVE The Facility Representative Award Program is a special award designed to recognize superior or exemplary service by a Facility Representative over a period of one year. This special award program has been established in accordance with the requirements of Department of Energy (DOE) Order 331.1C, Employee Performance Management and Recognition Program. FACILITY REPRESENTATIVE OF THE YEAR AWARD The Facility Representative of the Year Award is determined by a panel representing the Chief Health, Safety and Security Officer and managers from the National Nuclear Security Administration (NNSA), the Office of Environmental Management (EM), the Office of Science (SC), and the Office of Nuclear Energy (NE). The Facility Representative Program Manager in

88

Average Price of Natural Gas Production  

Gasoline and Diesel Fuel Update (EIA)

. . Quantity and Average Price of Natural Gas Production in the United States, 1930-1996 (Volumes in Million Cubic Feet, Prices in Dollars per Thousand Cubic Feet) Table Year Gross Withdrawals Used for Repressuring Nonhydro- carbon Gases Removed Vented and Flared Marketed Production Extraction Loss Dry Production Average Wellhead Price of Marketed Production 1930 ....................... NA NA NA NA 1,978,911 75,140 1,903,771 0.08 1931 ....................... NA NA NA NA 1,721,902 62,288 1,659,614 0.07 1932 ....................... NA NA NA NA 1,593,798 51,816 1,541,982 0.06 1933 ....................... NA NA NA NA 1,596,673 48,280 1,548,393 0.06 1934 ....................... NA NA NA NA 1,815,796 52,190 1,763,606 0.06 1935 ....................... NA NA NA NA 1,968,963 55,488 1,913,475 0.06 1936 ....................... 2,691,512 73,507 NA 392,528 2,225,477

89

Average values and dispersion (in parentheses)  

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

Average values and dispersion (in parentheses) Average values and dispersion (in parentheses) Base-pair Parameters --------------------------------------------------------------------------------------- Shear Stretch Stagger Buckle Propeller Opening 3DNA A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.77) -11.79(4.14) 0.57(2.80) B 0.00(0.21) -0.15(0.12) 0.09(0.19) 0.53(6.74) -11.35(5.26) 0.63(3.05) CEHS A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.75) -11.82(4.14) 0.56(2.78) B 0.00(0.21) -0.14(0.12) 0.09(0.19) 0.53(6.73) -11.37(5.27) 0.62(3.03) CompDNA A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.12(7.70) -11.81(4.14) 0.56(2.79) B 0.00(0.21) -0.15(0.12) 0.09(0.19) 0.53(6.70) -11.37(5.26) 0.62(3.03) Curves A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.85) -11.76(4.12) 0.57(2.80)

90

Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

The authors introduce two ways to produce locally calibrated grid-based probabilistic forecasts of temperature. Both start from the Global Bayesian model averaging (Global BMA) statistical postprocessing method, which has constant predictive bias ...

William Kleiber; Adrian E. Raftery; Jeffrey Baars; Tilmann Gneiting; Clifford F. Mass; Eric Grimit

2011-08-01T23:59:59.000Z

91

Geographic Gossip: Efficient Averaging for Sensor Networks  

E-Print Network (OSTI)

Gossip algorithms for distributed computation are attractive due to their simplicity, distributed nature, and robustness in noisy and uncertain environments. However, using standard gossip algorithms can lead to a significant waste in energy by repeatedly recirculating redundant information. For realistic sensor network model topologies like grids and random geometric graphs, the inefficiency of gossip schemes is related to the slow mixing times of random walks on the communication graph. We propose and analyze an alternative gossiping scheme that exploits geographic information. By utilizing geographic routing combined with a simple resampling method, we demonstrate substantial gains over previously proposed gossip protocols. For regular graphs such as the ring or grid, our algorithm improves standard gossip by factors of $n$ and $\\sqrt{n}$ respectively. For the more challenging case of random geometric graphs, our algorithm computes the true average to accuracy $\\epsilon$ using $O(\\frac{n^{1.5}}{\\sqrt{\\log ...

Dimakis, Alexandros G; Wainwright, Martin J

2007-01-01T23:59:59.000Z

92

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

22 22 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is

93

Facility Representative Program: Program Performance Indicators  

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

Program Performance Indicators DOE Corporate Reporting Data (ORPS, CAIRS, Others) Facility Representative Performance Indicator Guidance -- Appendix A in DOE-STD-1063-2011,...

94

Representativeness models of systems: smart grid example  

Science Conference Proceedings (OSTI)

Given the great emphasis being placed on energy efficiency in contemporary society, in which the smart grid plays a prominent role, this is an opportune time to explore methodologies for appropriately representing system attributes. We suggest this is ... Keywords: Smart grid, System representativeness

Norman Schneidewind

2011-03-01T23:59:59.000Z

95

Incentives for the Department's Facility Representative Program,  

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

Incentives for the Department's Facility Representative Program, Incentives for the Department's Facility Representative Program, 12/17/1998 Incentives for the Department's Facility Representative Program, 12/17/1998 The Department's Revised Implementation Plan for Defense Nuclear Facilities Safety Board Recommendation 93-3 has once again underscored the Department's commitment to maintaining the technical capability necessary to safely manage and operate our defense nuclear facilities. Attracting and retaining highly qualified employees and placing them in our critical technical positions is vital to fi.dfilling this commitment. You have identified 95'% of your Facility Representative positions as critical technical positions. The Office of Field Management has noted a 12'?40annual attrition rate of Facility Representatives from the Facility

96

Table 5B. Commercial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Commercial Average Monthly Bill by Census Division, and State: Table 5B. Commercial Average Monthly Bill by ...

97

On the String Averaging Method for Sparse Common Fixed Points ...  

E-Print Network (OSTI)

Jul 10, 2008 ... gate a string-averaging algorithmic scheme that favorably handles the ... are special cases of the string-averaging and of the BIP algorithmic...

98

Table 5A. Residential Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Table 5A. Residential Average Monthly Bill by Census Division, and State, 2009: Census Division State Number of Consumers Average Monthly Consumption ...

99

Average summer gasoline prices expected to be slightly lower ...  

U.S. Energy Information Administration (EIA)

The retail price for regular gasoline is expected to average $3.63 per gallon during this summer driving season, slightly below average prices over ...

100

Table 5B. Commercial average monthly bill by census division...  

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

" Census Division " " State ","Number of Consumers "," Average Monthly Consumption (kWh)","Price (Cents per Kilowatthour)","Average Monthly Bill (Dollar and cents)" "New...

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

49031 49031 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to

102

Representativeness of Wind Observations at Airports  

Science Conference Proceedings (OSTI)

Wind information for use at airports can be called representative if it provides an optimal estimate of wind variations to be expected over the runway. It is shown that a single anemometer at a nonideal but reasonable location will usually ...

J. Wieringa

1980-09-01T23:59:59.000Z

103

A Practical Pyrgeometer Using the Representative Angle  

Science Conference Proceedings (OSTI)

A simple directional pyrgeometer is tested and compared with a conventional standard pyrgeometer. The system presented in this article has a narrow directional response and points to the representative zenith angle of 52.5. Because of its ...

Satoshi Sakai; Aya Ito; Kazuhiro Umetani; Isao Iizawa; Masanori Onishi

2009-03-01T23:59:59.000Z

104

Finding representative workloads for computer system design  

Science Conference Proceedings (OSTI)

This work explores how improved workload characterization can be used for a better selection of representative workloads within the computer system and processor design process. We find that metrics easily available in modern computer systems provide ...

Jan Lodewijk Bonebakker

2007-03-01T23:59:59.000Z

105

Facility Representative Program: Program Directives and Guidance  

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

Facility Representative of the Year Award FR Program Assessment Guide (Appendix B, DOE STD 1063-2011) Program Directives and Guidance FR Program Standard, DOE STD 1063-2011,...

106

Representing aggregate works in the digital library  

Science Conference Proceedings (OSTI)

This paper studies the challenge of representing aggregate works such as encyclopedias, collected poems and journals in heterogenous digital library collections. Reflecting on the materials used by humanities academics, we demonstrate the varied range ... Keywords: aggregate documents, architecture, digital libraries

George Buchanan; Jeremy Gow; Ann Blandford; Jon Rimmer; Claire Warwick

2007-06-01T23:59:59.000Z

107

Facility Representative Program Outstanding at ID  

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

protects not only the workers, but the public and the environment as well. Specifically, DOE orders say: "The purpose of the DOE Facility Representative Program is to ensure that...

108

A Zonally Averaged Ocean Model for the Thermohaline Circulation. Part II: Interocean Circulation in the Pacific-Atlantic Basin System  

Science Conference Proceedings (OSTI)

The zonally averaged, latitude-depth ocean model, developed in Part I, is extended to a two-basin system representing the Atlantic and Pacific. Steady states are calculated under two different surface boundary conditions to study a possible ...

Thomas F. Stocker; Daniel G. Wright

1991-12-01T23:59:59.000Z

109

Texas Gulf Coast Refinery District API Gravity (Weighted Average ...  

U.S. Energy Information Administration (EIA)

Texas Gulf Coast Refinery District API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degree)

110

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate

111

Solar: annual average global horizontal (GHI) GIS data at 10km resolution  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 10km resolution global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a horizontal flat-plate solar collector, such as a Photovoltaic (PV) solar panel. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This model uses information on hourly satellite observed visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam insolation falling on a tracking concentrator pointed

112

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the

113

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

114

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations

115

Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average  

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

8: July 12, 2004 8: July 12, 2004 Expected Average Annual Miles to someone by E-mail Share Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Facebook Tweet about Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Twitter Bookmark Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Google Bookmark Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Delicious Rank Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Digg Find More places to share Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on AddThis.com... Fact #328: July 12, 2004 Expected Average Annual Miles Twenty-five percent of the respondents to a nationwide survey said that

116

Vehicle Technologies Office: Fact #536: September 15, 2008 Average...  

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

6: September 15, 2008 Average Used Car Prices Up and Used Light Truck Prices Down to someone by E-mail Share Vehicle Technologies Office: Fact 536: September 15, 2008 Average Used...

117

Vehicle Technologies Office: Fact #517: May 5, 2008 State Average...  

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

7: May 5, 2008 State Average Gasoline Prices, April 18, 2008 to someone by E-mail Share Vehicle Technologies Office: Fact 517: May 5, 2008 State Average Gasoline Prices, April 18,...

118

Vehicle Technologies Office: Fact #87: May 4, 1999 Average Annual...  

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

7: May 4, 1999 Average Annual Miles per Vehicle by Vehicle Type and Age to someone by E-mail Share Vehicle Technologies Office: Fact 87: May 4, 1999 Average Annual Miles per...

119

Vehicle Technologies Office: Fact #744: September 10, 2012 Average...  

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

4: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price to someone by E-mail Share Vehicle Technologies Office: Fact 744:...

120

Improving Wind ProfilerMeasured Winds Using Coplanar Spectral Averaging  

Science Conference Proceedings (OSTI)

A method is presented that increases the detectability of weak clear-air signals by averaging Doppler spectra from coplanar wind profiler beams. The method, called coplanar spectral averaging (CSA), is applied to both simulated wind profiler ...

Robert Schafer; Susan K. Avery; Kenneth S. Gage; Paul E. Johnston; D. A. Carter

2004-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

On Lateral Dispersion Coefficients as Functions of Averaging Time  

Science Conference Proceedings (OSTI)

Plume dispersion coefficients are discussed in terms of single-particle and relative diffusion, and are investigated as functions of averaging time. To demonstrate the effects of averaging time on the relative importance of various dispersion ...

C. M. Sheih

1980-05-01T23:59:59.000Z

122

Vorticity Dynamics and Zonally Averaged Ocean Circulation Models  

Science Conference Proceedings (OSTI)

Diagnostic equations relating the zonally averaged overturning circulation to northsouth density variations are derived and used to determine a new closure scheme for use in zonally averaged ocean models. The presentation clarifies the dynamical ...

Daniel G. Wright; Cornelis B. Vreugdenhil; Tertia M. C. Hughes

1995-09-01T23:59:59.000Z

123

Table 5C. Industrial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Industrial Average Monthly Bill by Census Division, and State: Table 5C. Industrial ...

124

Maryland Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States

125

Optimization Online - "Block-Iterative and String-Averaging ...  

E-Print Network (OSTI)

Jul 19, 2009 ... Optimization Online. "Block-Iterative and String-Averaging Projection Algorithms in Proton Computed Tomography Image Reconstruction".

126

Table 4. Average retail price for bundled and unbundled consumers ...  

U.S. Energy Information Administration (EIA)

Table 4. Average retail price for bundled and unbundled consumers by sector, Census Division, and State 2011

127

Yucca Mountain Climate Technical Support Representative  

SciTech Connect

The primary objective of Project Activity ORD-FY04-012, Yucca Mountain Climate Technical Support Representative, was to provide the Office of Civilian Radioactive Waste Management (OCRWM) with expertise on past, present, and future climate scenarios and to support the technical elements of the Yucca Mountain Project (YMP) climate program. The Climate Technical Support Representative was to explain, defend, and interpret the YMP climate program to the various audiences during Site Recommendation and License Application. This technical support representative was to support DOE management in the preparation and review of documents, and to participate in comment response for the Final Environmental Impact Statement, the Site Recommendation Hearings, the NRC Sufficiency Comments, and other forums as designated by DOE management. Because the activity was terminated 12 months early and experience a 27% reduction in budget, it was not possible to complete all components of the tasks as originally envisioned. Activities not completed include the qualification of climate datasets and the production of a qualified technical report. The following final report is an unqualified summary of the activities that were completed given the reduced time and funding.

Sharpe, Saxon E

2007-10-23T23:59:59.000Z

128

1997 Annual Facility Representative Workshop Attendees  

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

Annual Facility Representative Workshop Attendees Annual Facility Representative Workshop Attendees Last Name First Office Location Phone E-Mail Anderson Mike ID CFATAN (208) 526-7418 andersmr@id.doe.gov Bell Bill AL LAAO (505) 665-6324 bbell@doeal.gov Biro Brian RL LABS (509) 376-7660 brian_a_biro@rl.gov Brown Mark RL TANKS (509) 373-9150 mark_c_brown@rl.gov Charboneau Briant RL 324/327 (509) 373-6137 briant_L_charboneau@rl.gov Daniels Rick OR HFIR (423) 574-9143 e29@ornl.gov Dennis Jack AL AAO (806) 477-3176 jdennis@pantex.com Dikeakos Maria CH BHG (516) 344-3950 dikeako@bnl.gov Duey Don AL AAO (806) 477-6987 dduey@pantex.com Earley Larry RL WRAP (509) 373-9388 larry_d_earley@rl.gov Eddy Doug OAK LLNL (925) 422-3379 doug.eddy@oak.doe.gov Edwards Robert SR NMSD (803) 208-2645 robert-e.edwards@srs.gov

129

1998 Annual Facility Representative Workshop Attendees  

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

8 Annual Facility Representative Workshop Attendees 8 Annual Facility Representative Workshop Attendees Last Name First Office Location Phone Fax E-Mail Alvord Bob OAK LLNL (925) 422-0830 (925) 422-0832 robert.alvord@oak.doe.gov Barnes John SR SRTC (803) 208-2628 (803) 208-1123 johnc.barnes@srs.gov Bell Fred AL LAAO (505) 665-4856 (505) 665-9230 fbell@doeal.gov Bell Bill AL LAAO (505) 665-6324 (505) 665-9230 bbell@doeal.gov Bennett Rick RF DOE (303) 966-8155 (303) 966-7447 rick.bennett@rfets.gov Biro Brian RL LABS (509) 376-7660 (509) 376-9837 brian_a_biro@rl.gov Blanco Jose SR DWPF (803) 208-7022 (803) 557-8223 jose.blanco@srs.gov Charboneau Briant RL 324/327 (509) 373-6137 (509) 373-9839 briant_L_charboneau@rl.gov Christensen Debbie AL OMD (505) 845-5239 dschristensen@doeal.gov Clifton Gary OR ORNL (423) 576-6810 (423) 574-9275 g7y@ornl.gov

130

Summary Notes from 3 October 2007 Generic Technical Issue Discussion on Concentration Averaging  

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

3 October 2007 Generic Technical Issue Discussion on 3 October 2007 Generic Technical Issue Discussion on Concentration Averaging Attendees: Representatives from Department of Energy-Headquarters (DOE-HQ) and the U.S. Nuclear Regulatory Commission (NRC) met at the DOE offices in Germantown, Maryland on 3 October 2007. Representatives from Department of Energy-Savannah River (DOE-SR) and the South Carolina Department of Health and Environmental Control (SCDHEC) participated in the meeting via a teleconference link. Discussion: DOE believes that based on the position papers provided prior to the meeting, DOE and NRC staff have many areas of agreement and no significant areas of disagreement with respect to the concentration averaging requirements articulated in the respective DOE and NRC requirements. The NRC position paper was based on NUREG-

131

Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material  

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

0: March 8, 2004 0: March 8, 2004 Average Material Consumption for a Domestic Automobile to someone by E-mail Share Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Facebook Tweet about Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Twitter Bookmark Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Google Bookmark Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Delicious Rank Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Digg Find More places to share Vehicle Technologies Office: Fact #310:

132

Average Interest Rate for Treasury Securities | Data.gov  

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

Average Interest Rate for Treasury Securities Average Interest Rate for Treasury Securities Consumer Data Apps Challenges Resources About Blogs Let's Talk Feedback Consumer You are here Data.gov » Communities » Consumer » Data Average Interest Rate for Treasury Securities Dataset Summary Description This dataset shows the average interest rates for U.S Treasury securities for the most recent month compared with the same month of the previous year. The data is broken down by the various marketable and non-marketable securities. The summary page for the data provides links for monthly reports from 2001 through the current year. Average Interest Rates are calculated on the total unmatured interest-bearing debt. The average interest rates for total marketable, total non-marketable and total interest-bearing debt do not include the U.S. Treasury Inflation-Protected Securities.

133

Orbit-averaged guiding-center Fokker-Planck operator  

Science Conference Proceedings (OSTI)

A general orbit-averaged guiding-center Fokker-Planck operator suitable for the numerical analysis of transport processes in axisymmetric magnetized plasmas is presented. The orbit-averaged guiding-center operator describes transport processes in a three-dimensional guiding-center invariant space: the orbit-averaged magnetic-flux invariant {psi}, the minimum-B pitch-angle coordinate {xi}{sub 0}, and the momentum magnitude p.

Brizard, A. J. [Department of Chemistry and Physics, Saint Michael's College, Colchester, Vermont 05439 (United States); Decker, J.; Peysson, Y.; Duthoit, F.-X. [CEA, IRFM, Saint-Paul-lez-Durance F-13108 (France)

2009-10-15T23:59:59.000Z

134

Laboratory or Facility Representative Email Addresses Phone #  

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

Laboratory or Facility Representative Email Addresses Phone # Ames Laboratory Stacy Joiner joiner@ameslab.gov 515-294-5932 Argonne National Laboratory Connie Cleary ccleary@anl.gov 630-252-8111 Brookhaven National Laboratory Walter Copan wcopan@bnl.gov 631-344-3035 Fermi National Acclerator Laboratory Bruce Chrisman chrisman@fnal.gov 630-840-6657 Idaho National Laboratory Steven McMaster steven.mcmaster@inl.gov 208-526-1340 Kansas City Plant Caron O'Dower codower@kcp.com 816-997-2645 Lawrence Berkeley National Laboratory Viviana Wolinsky viwolinsky@lbl.gov 510-486-6463 Lawrence Livermore National Laboratory Roger Werne werne1@llnl.gov 925-423-9353 Los Alamos National Laboratory John Mott jmott@lanl.gov 505-665-0883 National Energy Technology Laboratory Jessica Sosenko jessica.sosenko@netl.doe.gov 412-386-7417

135

Facility Representative Functional Area Qualification Standard  

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

DOE-STD-1151-2010 October 2010 DOE STANDARD FACILITY REPRESENTATIVE FUNCTIONAL AREA QUALIFICATION STANDARD DOE Defense Nuclear Facilities Technical Personnel U.S. Department of Energy AREA TRNG Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. DOE-STD-1151-2010 ii This document is available on the Department of Energy Office of Health, Safety and Security Approved DOE Technical Standards Web Site at http://www.hss.doe.gov/nuclearsafety/ns/techstds/standard/standard.html DOE-STD-1151-2010 iii APPROVAL The Federal Technical Capability Panel consists of senior U.S. Department of Energy (DOE) managers responsible for overseeing the Federal Technical Capability Program. This Panel is

136

Average Depth of Crude Oil and Natural Gas Wells  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Average depth may ...

137

,"Selected National Average Natural Gas Prices"  

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

Selected National Average Natural Gas Prices" Selected National Average Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Average Natural Gas Prices",11,"Monthly","11/2013","1/15/1973" ,"Data 2","Annual Average Natural Gas Prices",11,"Annual",2012,"6/30/1922" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm03vmall.xls" ,"Available from Web Page:","http://www.eia.gov/oil_gas/natural_gas/data_publications/natural_gas_monthly/ngm.html"

138

Table AP7. Average Expenditures for Home Appliances and Lighting ...  

U.S. Energy Information Administration (EIA)

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

139

Electric Sales, Revenue, and Average Price 2011 - Energy Information...  

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

All Electricity Reports Electric Sales, Revenue, and Average Price With Data for 2011 | Release Date: September 27, 2012 | Next Release Date: September, 2013 Previous editions...

140

Chapter 5. Retail Sales, Revenue, and Average Retail Price of ...  

U.S. Energy Information Administration (EIA)

106 U.S. Energy Information Administration/Electric Power Monthly June 2012 Chapter 5. Retail Sales, Revenue, and Average Retail Price of Electricity

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)"...

142

Average wholesale electric power prices rose in 2010 - Today in ...  

U.S. Energy Information Administration (EIA)

Average wholesale electric power prices rose in 2010, due to higher national natural gas prices and increased demand for electricity, particularly in the Eastern ...

143

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Class of Ownership, Number of Consumers, Sales, Revenue, and Average Retail Price for Power Marketers and Energy Service Providers by State: T12:

144

Today in Energy - Average wholesale natural gas prices mostly ...  

U.S. Energy Information Administration (EIA)

Average spot natural gas prices, which reflect the wholesale price of natural gas at major trading points, generally declined in most U.S. regional markets about 7% ...

145

Ohio Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

146

Average prices for spot sulfur dioxide emissions allowances at ...  

U.S. Energy Information Administration (EIA)

The weighted average spot price for sulfur dioxide (SO 2) emissions allowances awarded to winning bidders at Environmental Protection Agency's (EPA) annual auction on ...

147

Climate: monthly and annual average relative humidity GIS data...  

Open Energy Info (EERE)

Climate: monthly and annual average relative humidity GIS data at one-degree resolution of the World from NASASSE

(Abstract):
Relative Humidity at 10 m...

148

Pennsylvania Average Price of Natural Gas Delivered to Residential ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

149

District of Columbia Average Price of Natural Gas Delivered to ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

150

Michigan Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

151

,"U.S. Natural Gas Average Annual Consumption per Commercial...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Average Annual Consumption per Commercial Consumer (Mcf)",1,"Annual",2011...

152

,"U.S. Natural Gas Average Annual Consumption per Industrial...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Average Annual Consumption per Industrial Consumer (Mcf)",1,"Annual",2011...

153

2012 Brief: Average wholesale electricity prices down compared ...  

U.S. Energy Information Administration (EIA)

2012 Brief: Average wholesale electricity prices down compared to last year. ... wholesale electric power prices often trend together with natural gas prices.

154

Average wholesale spot natural gas prices rose across the country ...  

U.S. Energy Information Administration (EIA)

Wholesale spot natural gas prices rose across the country in 2010. Average spot natural gas prices at the Henry Huba key benchmark location for pricing throughout ...

155

Figure 34. Ratio of average per megawatthour fuel costs ...  

U.S. Energy Information Administration (EIA)

Title: Figure 34. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in the RFC west ...

156

EIA Renewable Energy- Average Energy Conversion Efficiency of ...  

U.S. Energy Information Administration (EIA)

Renewables and Alternate Fuels > Solar Photovoltaic Cell/Module Annual Report > Annual Shipments of Photovoltaic Cells and Modules by Source: Average Energy ...

157

Solar: monthly and annual average global horizontal (GHI) GIS...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

158

Solar: monthly and annual average direct normal (DNI), global...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

159

Solar: monthly and annual average direct normal (DNI) GIS data...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

160

New York Average Price of Natural Gas Delivered to Residential ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per ...

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Representative Air Temperature of Thermally Heterogeneous Urban Areas Using the Measured Pressure Gradient  

Science Conference Proceedings (OSTI)

A method to measure an area-averaged ground air temperature based on the hydrostatic equation is shown. The method was devised to overcome the problem of finding the most representative surface air temperature over a wide region, a problem that ...

Hirofumi Sugawara; Ken-ichi Narita; Takehiko Mikami

2004-08-01T23:59:59.000Z

162

Variation in Nimbus-7 Cloud Estimates. Part I: Zonal Averages  

Science Conference Proceedings (OSTI)

Zonal averages of low, middle and total cloud amount estimates derived from measurements from Nimbus-7 have been analyzed for the six-year period April 1979 through March 1985. The globally and zonally averaged values of six-year annual means and ...

Bryan C. Weare

1992-12-01T23:59:59.000Z

163

The underground electromagnetic pulse: Four representative models  

Science Conference Proceedings (OSTI)

I describe four phenomenological models by which an underground nuclear explosion may generate electromagnetic pulses: Compton current asymmetry (or ''Compton dipole''); Uphole conductor currents (or ''casing currents''); Diamagnetic cavity plasma (or ''magnetic bubble''); and Large-scale ground motion (or ''magneto-acoustic wave''). I outline the corresponding analytic exercises and summarize the principal results of the computations. I used a 10-kt contained explosion as the fiducial case. Each analytic sequence developed an equivalent source dipole and calculated signal waveforms at representative ground-surface locations. As a comparative summary, the Compton dipole generates a peak source current moment of about 12,000 A/center dot/m in the submicrosecond time domain. The casing-current source model obtains an equivalent peak moment of about 2 /times/ 10/sup 5/ A/center dot/m in the 10- to 30-/mu/s domain. The magnetic bubble produces a magnetic dipole moment of about 7 /times/ 10/sup 6/ A/center dot/m/sup 2/, characterized by a 30-ms time structure. Finally, the magneto-acoustic wave corresponds to a magnetic dipole moment of about 600 A/center dot/m/sup 2/, with a waveform showing 0.5-s periodicities. 8 refs., 35 figs., 7 tabs.

Wouters, L.F.

1989-06-01T23:59:59.000Z

164

Long-run marginal costs lower than average costs  

SciTech Connect

The thesis of this article is that the long-run marginal costs of electricity are not always greater than the present average costs, as is often assumed. As long as short-run costs decrease with new plant additions, the long-run marginal cost is less than long-run average cost. When average costs increase with new additions, long-run marginal costs are greater than long-run average costs. The long-run marginal costs of a particular utility may be less than, equal to, or greater than its long-run average costs - even with inflation present. The way to determine which condition holds for a given utility is to estimate costs under various combinations of assumptions: probable load growth, zero load growth, and load growth greater than expected; and changes in load factor with attendant costs. Utilities that can demonstrate long-run marginal costs lower than long-run average costs should be encouraged to build plant and increase load, for the resulting productivity gains and slowing of inflation. Utilities that face long-run marginal costs greater than long-run average costs should discourage growth in sales through any available means.

Hunter, S.R.

1980-01-03T23:59:59.000Z

165

Figure 33. Ratio of average per megawatthour fuel costs for ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 33. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in the SERC southeast ...

166

Figure 27. Ratio of average per megawatthour fuel costs for ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 27. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in five cases, 2008-2040

167

ARM - Evaluation Product - Average of Cloud Condensation Nuclei...  

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

are averaged together. The %ss in the CCN data stream is calculated using a heat transfer and fluid dynamics model flow model (Lance et al., 2006). The model uses the...

168

Virginia Average Price of Natural Gas Delivered to Residential...  

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

10.34 9.79 11.62 14.97 NA 20.70 1989-2013 Commercial Average Price 8.35 8.21 9.11 9.52 9.96 10.36...

169

New York Average Price of Natural Gas Delivered to Residential...  

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

94 11.57 12.82 15.94 18.40 18.73 1989-2013 Commercial Average Price 8.38 8.32 8.27 8.38 7.91 6.66...

170

Maryland Average Price of Natural Gas Delivered to Residential...  

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

0.35 10.04 12.02 15.43 17.45 16.48 1989-2013 Commercial Average Price 9.03 9.30 10.67 11.84 12.79 NA...

171

annual average heating degree days | OpenEI  

Open Energy Info (EERE)

average heating degree days average heating degree days Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/ Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords annual average heating degree days climate GIS NASA SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.7 MiB)

172

Average Diurnal Variation of Summer Lightning over the Floirida Peninsula  

Science Conference Proceedings (OSTI)

Data derived from a large network of electric field mills have been used to determine the average diurnal variation of lightning in a Florida seacoast environment. These data were obtained at the NASA Kennedy Space Center (KSC) and the Cape ...

Launa M. Maier; E. Philip Krider; Michael W. Maier

1984-06-01T23:59:59.000Z

173

Table 14b. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002...

174

2012 Brief: Average wholesale electricity prices down compared to ...  

U.S. Energy Information Administration (EIA)

Average, on-peak (weekdays from 7:00 a.m. to 11:00 p.m.) day-ahead electricity prices were lower across the entire United States in 2012 compared to 2011.

175

Table 14b. Average Electricity Prices, Projected vs. Actual  

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

b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

176

Does anyone have access to 2012 average residential rates by...  

Open Energy Info (EERE)

Does anyone have access to 2012 average residential rates by utility company? I'm seeing an inconsistency between the OpenEI website and EIA 861 data set. Home > Groups > Utility...

177

Exact Averaging of Atmospheric State and Flow Variables  

Science Conference Proceedings (OSTI)

A new set of averaging rules is put forward that exactly determines the means of air temperature, mixing ratio, and velocity by incorporating weighting factors in accordance with physical conservation laws. For the temperature and velocity, ...

Andrew S. Kowalski

2012-05-01T23:59:59.000Z

178

Figure 88. Annual average Henry Hub spot prices for natural ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 88. Annual average Henry Hub spot prices for natural gas in five cases, 1990-2040 (2011 dollars per million Btu) Reference

179

Figure 86. Annual average Henry Hub spot natural gas prices ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 86. Annual average Henry Hub spot natural gas prices, 1990-2040 (2011 dollars per million Btu) Henry Hub Spot Price 1990.00

180

Using Bayesian Model Averaging to Calibrate Forecast Ensembles  

Science Conference Proceedings (OSTI)

Ensembles used for probabilistic weather forecasting often exhibit a spread-error correlation, but they tend to be underdispersive. This paper proposes a statistical method for postprocessing ensembles based on Bayesian model averaging (BMA), ...

Adrian E. Raftery; Tilmann Gneiting; Fadoua Balabdaoui; Michael Polakowski

2005-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Pennsylvania Average Price of Natural Gas Delivered to Residential...  

Gasoline and Diesel Fuel Update (EIA)

7 10.55 11.24 13.80 16.87 19.85 1989-2013 Commercial Average Price 9.51 9.87 10.27 11.46 12.38 12.89...

182

Semi-supervised training for the averaged perceptron POS tagger  

Science Conference Proceedings (OSTI)

This paper describes POS tagging experiments with semi-supervised training as an extension to the (supervised) averaged perceptron algorithm, first introduced for this task by (Collins, 2002). Experiments with an iterative training on standard-sized ...

Drahomra "johanka" Spoustov; Jan Haji?; Jan Raab; Miroslav Spousta

2009-03-01T23:59:59.000Z

183

A Statistical Averaging Method for Wind Profiler Doppler Spectra  

Science Conference Proceedings (OSTI)

A new method is presented for Doppler spectral averaging that more reliably identifies the profiler radar return from clear air in the presence of contaminationfor example, from migrating bird echoes. These very sensitive radars profile the wind ...

David A. Merritt

1995-10-01T23:59:59.000Z

184

The averaged control system of fast oscillating control systems  

E-Print Network (OSTI)

For control systems that either have an explicit periodic dependence on time or have periodic solutions and small controls, we define an average control system that takes into account all possible variations of the control, and prove that its solutions approximate all solutions of the oscillating systems as oscillations go faster. The dimension of its velocity set is characterised geomtrically. When it is maximum the average system defines a Finsler metric, unfortunately not twice differntiable in general. Under particular assumptions, valid for the control two body system, this Finsler metric generates a Hamiltonian flow on the cotangent bundle. For minimum time control, this average system proves that averaging the Hamiltonian given by the maximum principle is a valid approximation.

Bombrun, Alex

2011-01-01T23:59:59.000Z

185

Implication of Spatial Averaging in Complex-Terrain Wind Studies  

Science Conference Proceedings (OSTI)

Studies of wind over complex terrain have been conducted at three times and two locations in Northern California. Instrumentation included conventional cup-vane anemometers and optical anemometers with spatial averaging over path lengths of 0.6-1 ...

W. M. Porch

1982-09-01T23:59:59.000Z

186

Vehicle Technologies Office: Fact #638: August 30, 2010 Average...  

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

8: August 30, 2010 Average Expenditure for a New Car Declines in Relation to Family Earnings to someone by E-mail Share Vehicle Technologies Office: Fact 638: August 30, 2010...

187

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

2001-2010 are Excel zipped files & 1994-2000 are PDF files ... and Average Retail Price for Power Marketers and ... U.S. Department of Energy USA.gov FedStats.

188

U.S. Natural Gas Average Consumption per Commercial Consumer...  

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

Commercial Consumer (Thousand Cubic Feet) U.S. Natural Gas Average Consumption per Commercial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

189

Solar: monthly and annual average global horizontal irradiance...  

Open Energy Info (EERE)

b>
Global Horizontal Irradiance
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

190

Solar: monthly and annual average direct normal irradiance GIS...  

Open Energy Info (EERE)

>
Direct Normal Irradiance (kWhm2day)
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

191

Benthic Boundary-Layer Velocity Profiles: Dependence on Averaging Period  

Science Conference Proceedings (OSTI)

The relationship between benthic boundary-layer velocity profiles and current meter averaging time is investigated using detailed (0.61 Hz) current measurements recorded within 1 m of the bottom on the inner continental shelf. The percentage of ...

Barry M. Lesht

1980-06-01T23:59:59.000Z

192

Average utilization of the nation's natural gas combined-cycle ...  

U.S. Energy Information Administration (EIA)

... (purple line) and 2010 (red line) average capacity factors for natural gas plant operations between 10 p.m. and 6 a.m. rose from 26% to 32%.

193

STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL  

E-Print Network (OSTI)

there is more than one level of floor, wall, or ceiling insulation in a building, or more than one type of a building feature, material, or construction assembly occur in a building, a weighted average

194

Solar: monthly and annual average latitude tilt irradiance GIS...  

Open Energy Info (EERE)

& Annual Average (July 1983 - June 2005)
Parameter: Latitude Tilt Radiation (kWhm2day)
Internet: http:eosweb.larc.nasa.govsse
Note 1:...

195

Some Considerations Relevant to Computing Average Hemispheric Temperature Anomalies  

Science Conference Proceedings (OSTI)

Three data bases of gridded surface temperature anomalies were used to assess the sensitivity of the average estimated Northern Hemisphere (NH) temperature anomaly to: 1) extreme gridpoint values and 2) zonal band contributions. Over the last 100 ...

S. L. Grotch

1987-07-01T23:59:59.000Z

196

New Mexico Natural Gas Average Consumption per Industrial Consumer...  

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

Industrial Consumer (Thousand Cubic Feet) New Mexico Natural Gas Average Consumption per Industrial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

197

New Mexico Natural Gas Average Consumption per Commercial Consumer...  

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

Commercial Consumer (Thousand Cubic Feet) New Mexico Natural Gas Average Consumption per Commercial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

198

Table A44. Average Prices of Purchased Electricity and Steam  

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

4. Average Prices of Purchased Electricity and Steam" 4. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam" ," (kWh)",," (million Btu)" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

199

U.S. Refiner Sales to End Users (Average) Prices  

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

Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Formulation/ Grade Sales Type Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Conventional, Average 3.030 3.137 3.122 3.063 3.042 2.972 1994-2013 Conventional Regular 3.005 3.116 3.102 3.040 3.017 2.948 1994-2013 Conventional Midgrade 3.167 3.256 3.239 3.200 3.193 3.121 1994-2013 Conventional Premium 3.269 3.354 3.327 3.291 3.274 3.203 1994-2013 Oxygenated, Average - - - - - - 1994-2013 Oxygenated Regular - - - - - - 1994-2013 Oxygenated Midgrade - - - - - - 1994-2013

200

Bayesian Model Averagings Problematic Treatment of Extreme Weather and a Paradigm Shift That Fixes It  

Science Conference Proceedings (OSTI)

Methods of ensemble postprocessing in which continuous probability density functions are constructed from ensemble forecasts by centering functions around each of the ensemble members have come to be called Bayesian model averaging (BMA) or ...

Craig H. Bishop; Kevin T. Shanley

2008-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Average Soil Water Retention Curves Measured by Neutron Radiography  

SciTech Connect

Water retention curves are essential for understanding the hydrologic behavior of partially-saturated porous media and modeling flow transport processes within the vadose zone. In this paper we report direct measurements of the main drying and wetting branches of the average water retention function obtained using 2-dimensional neutron radiography. Flint sand columns were saturated with water and then drained under quasi-equilibrium conditions using a hanging water column setup. Digital images (2048 x 2048 pixels) of the transmitted flux of neutrons were acquired at each imposed matric potential (~10-15 matric potential values per experiment) at the NCNR BT-2 neutron imaging beam line. Volumetric water contents were calculated on a pixel by pixel basis using Beer-Lambert s law after taking into account beam hardening and geometric corrections. To remove scattering effects at high water contents the volumetric water contents were normalized (to give relative saturations) by dividing the drying and wetting sequences of images by the images obtained at saturation and satiation, respectively. The resulting pixel values were then averaged and combined with information on the imposed basal matric potentials to give average water retention curves. The average relative saturations obtained by neutron radiography showed an approximate one-to-one relationship with the average values measured volumetrically using the hanging water column setup. There were no significant differences (at p < 0.05) between the parameters of the van Genuchten equation fitted to the average neutron radiography data and those estimated from replicated hanging water column data. Our results indicate that neutron imaging is a very effective tool for quantifying the average water retention curve.

Cheng, Chu-Lin [ORNL; Perfect, Edmund [University of Tennessee, Knoxville (UTK); Kang, Misun [ORNL; Voisin, Sophie [ORNL; Bilheux, Hassina Z [ORNL; Horita, Juske [Texas Tech University (TTU); Hussey, Dan [NIST Center for Neutron Research (NCRN), Gaithersburg, MD

2011-01-01T23:59:59.000Z

202

Radiometric Validation of ERS-1 Along-Track Scanning Radiometer Average Sea Surface Temperature in the Atlantic Ocean  

Science Conference Proceedings (OSTI)

The ERS-1 along-track scanning radiometer (ATSR) provides a half-degree latitude by half-degree longitude average sea surface temperature (ASST) measurement representative of the thermal skin layer of the ocean that is intended for use in global ...

Craig J. Donlon; Ian S. Robinson

1998-06-01T23:59:59.000Z

203

Spatially averaged heat flux and convergence measurements at the ARM regional flux experiment  

SciTech Connect

Cloud formation and its relation to climate change is the greatest weakness in current numerical climate models. Surface heat flux in some cases causes clouds to form and in other to dissipate and the differences between these cases are subtle enough to make parameterization difficult in a numerical model. One of the goals of the DOE Atmospheric Radiation Measurement program is to make long term measurements at representative sites to improve radiation and cloud formation parameterization. This paper compares spatially averaged optical measurements of heat flux and convergence with a goal of determining how point measurements of heat fluxes scale up to the larger scale used for climate modeling. It was found that the various optical techniques used in this paper compared well with each other and with independent measurements. These results add confidence that spatially averaging optical techniques can be applied to transform point measurements to the larger scales needed for mesoscale and climate modeling. 10 refs., 6 figs. (MHB)

Porch, W.; Barnes, F.; Buchwald, M.; Clements, W.; Cooper, D.; Hoard, D. (Los Alamos National Lab., NM (United States)); Doran, C.; Hubbe, J.; Shaw, W. (Pacific Northwest Lab., Richland, WA (United States)); Coulter, R.; Martin, T. (Argonne National Lab., IL (United States)); Kunkel, K. (Illinois State Water Survey, Champaign, IL (United States))

1991-01-01T23:59:59.000Z

204

"2012 Average Monthly Bill- Industrial"  

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

Industrial" Industrial" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",34164,67854.037,11.83487,8030.4373 "Connecticut",4647,63947.063,12.672933,8103.9685 "Maine",2780,90741.457,7.9819499,7242.9376 "Massachusetts",21145,66710.826,12.566635,8383.3057 "New Hampshire",3444,47247.217,11.83228,5590.423 "Rhode Island",1927,39935.911,10.676724,4263.8471 "Vermont",221,536044.12,9.9796777,53495.475 "Middle Atlantic",45836,126368.14,7.4903534,9465.42 "New Jersey",12729,50817.89,10.516509,5344.2677

205

Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual  

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

Chlorofluorocarbons » Chlorofluorocarbons » Atmospheric CFC-11 Concentrations Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual Data for the Period 1975-1992 DOI: 10.3334/CDIAC/atg.db1010 data Data (DB1010) Investigator M. A. K. Khalil and R. A. Rasmussen Description This data set presents globally averaged atmospheric concentrations of chlorofluorocarbon 11, known also as CFC-11 or F-11 (chemical name: trichlorofluoromethane; formula: CCl3F). The monthly global average data are derived from flask air samples collected at eight sites in six locations over the period August 1980-July 1992. The sites are Barrow (Alaska), Cape Meares (Oregon), Cape Kumukahi and Mauna Loa (Hawaii), Cape Matatula (American Samoa), Cape Grim (Tasmania), Palmer Station, and the

206

Comparison of Average Transport and Dispersion Among a Gaussian, a  

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

Comparison of Average Transport and Dispersion Among a Gaussian, a Comparison of Average Transport and Dispersion Among a Gaussian, a Two-Dimensional, and a Three-Dimensional Model Comparison of Average Transport and Dispersion Among a Gaussian, a Two-Dimensional, and a Three-Dimensional Model The Nuclear Regulatory Commission's (NRC's) code for predicting off-site consequences, MACCS2 (Chanin, et al. 1998) (MELCOR Accident Consequence Code System, Version 2), uses a simplified model for atmospheric transport and d ispersion (ATD), that is, a straight-line Gaussian model. The MACCS2 calculations are used by the NRC for planning purposes, for cost-benefit analyses, and in level-3 probabilistic risk analyses (PRAs). The MACCS2 ATD model has been criticized as being overly simplistic, even for its purposes. The justification for its use has been

207

"2012 Average Monthly Bill- Residential"  

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

Residential" Residential" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",6203726,634.13095,15.713593,99.644755 "Connecticut",1454651,730.85302,17.343298,126.75402 "Maine",703770,530.56349,14.658797,77.774225 "Massachusetts",2699141,627.15845,14.912724,93.52641 "New Hampshire",601697,614.81776,16.070168,98.802249 "Rhode Island",435448,597.34783,14.404061,86.042344 "Vermont",309019,565.03618,17.006075,96.090478 "Middle Atlantic",15727423,700.63673,15.272654,107.00582

208

INVERSIONS FOR AVERAGE SUPERGRANULAR FLOWS USING FINITE-FREQUENCY KERNELS  

Science Conference Proceedings (OSTI)

I analyze the maps recording the travel-time shifts caused by averaged plasma anomalies under an 'average supergranule', constructed by means of statistical averaging over 5582 individual supergranules with large divergence signals detected in two months of Helioseismic and Magnetic Imager Dopplergrams. By utilizing a three-dimensional validated time-distance inversion code, I measure a peak vertical velocity of 117 {+-} 2 m s{sup -1} at depths around 1.2 Mm in the center of the supergranule and a root-mean-square vertical velocity of 21 m s{sup -1} over the area of the supergranule. A discrepancy between this measurement and the measured surface vertical velocity (a few m s{sup -1}) can be explained by the existence of the large-amplitude vertical flow under the surface of supergranules with large divergence signals, recently suggested by Duvall and Hanasoge.

Svanda, Michal, E-mail: michal@astronomie.cz [Astronomical Institute, Academy of Sciences of the Czech Republic (v.v.i.), Fricova 298, CZ-25165 Ondrejov (Czech Republic)

2012-11-10T23:59:59.000Z

209

3Q CY2011 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2011 (PDF), Facility Representative Program Performance 3Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the Period July through September 2011. Data for these indicators were gathered by Field Elements per Department of Energy's (DOE) Technical Standard (STD) 1063-2011, Facility Representatives, and reported to Headquarters Program Offices for evaluation and feedback to improve the FR Program. Facility Representative Program Performance Indicators for July - September 2011 More Documents & Publications 3Q CY2010 (PDF), Facility Representative Program Performance Indicators

210

1Q CY2012 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2012 (PDF), Facility Representative Program Performance 1Q CY2012 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2012 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January through March 2012. Data for these indicators were gathered by Field elements per Department of Energy (DOE) Technical Standarf 1063-2011, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Facility Representative Program Performance Indicators for January-March 2012 More Documents & Publications 1Q CY2011 (PDF), Facility Representative Program Performance Indicators

211

Facility Representative Program ID Selects FR of the Year  

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

Facility Representative Program ID Selects Facility Representative Program ID Selects FR of the Year John Martin DOE-ID Facility Representative John Martin DOE-ID Facility Representative of the Year. John Martin was selected as DOE-ID's Facility Representative of the Year and the office's nominee for the 2007 DOE Facility Representative of the Year Award. John was selected from an exceptional field of candidates to represent DOE-ID at the Facility Representative Annual Workshop in Las Vegas this May. Each year the Department of Energy recognizes the Facility Representative whose achievements during the calendar year are most exemplary. A panel of senior personnel representing the Office of Health, Safety and Security (HSS) National Nuclear Security Administration (NNSA), Environmental Management (EM), Science (SC), Nuclear Energy (NE) and at least five

212

Bounce-averaged Fokker-Planck code for stellarator transport  

Science Conference Proceedings (OSTI)

A computer code for solving the bounce-averaged Fokker-Planck equation appropriate to stellarator transport has been developed, and its first applications made. The code is much faster than the bounce-averaged Monte-Carlo codes, which up to now have provided the most efficient numerical means for studying stellarator transport. Moreover, because the connection to analytic kinetic theory of the Fokker-Planck approach is more direct than for the Monte-Carlo approach, a comparison of theory and numerical experiment is now possible at a considerably more detailed level than previously.

Mynick, H.E.; Hitchon, W.N.G.

1985-07-01T23:59:59.000Z

213

Flavor Physics Data from the Heavy Flavor Averaging Group (HFAG)  

DOE Data Explorer (OSTI)

The Heavy Flavor Averaging Group (HFAG) was established at the May 2002 Flavor Physics and CP Violation Conference in Philadelphia, and continues the LEP Heavy Flavor Steering Group's tradition of providing regular updates to the world averages of heavy flavor quantities. Data are provided by six subgroups that each focus on a different set of heavy flavor measurements: B lifetimes and oscillation parameters, Semi-leptonic B decays, Rare B decays, Unitarity triangle parameters, B decays to charm final states, and Charm Physics.

Heavy Flavor Averaging Group (HFAG)

214

AMPERE AVERAGE CURRENT PHOTOINJECTOR AND ENERGY RECOVERY LINAC.  

SciTech Connect

High-power Free-Electron Lasers were made possible by advances in superconducting linac operated in an energy-recovery mode. In order to get to much higher power levels, say a fraction of a megawatt average power, many technological barriers are yet to be broken. We describe work on CW, high-current and high-brightness electron beams. This will include a description of a superconducting, laser-photocathode RF gun employing a new secondary-emission multiplying cathode, an accelerator cavity, both capable of producing of the order of one ampere average current and plans for an ERL based on these units.

BEN-ZVI,I.; BURRILL,A.; CALAGA,R.; ET AL.

2004-08-17T23:59:59.000Z

215

Residual Fuel Oil Prices, Average - Sales to End Users  

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

Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product/Sales Type Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. - - - - - - 1983-2013 East Coast (PADD 1) - - - - - - 1983-2013 New England (PADD 1A) - - - - - - 1983-2013 Connecticut - - - - - - 1983-2013 Maine - - - - - - 1983-2013 Massachusetts - - - - - - 1983-2013

216

Pennsylvania Average Price of Natural Gas Delivered to Residential...  

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

Percent Sold by Local Distribution Companies 91.2 91.2 2006-2011 Commercial Average Price 12.77 14.29 11.83 10.47 10.42 10.21 1967-2012 Local Distribution Companies 11.29 NA...

217

Michigan Average Price of Natural Gas Delivered to Residential...  

Annual Energy Outlook 2012 (EIA)

8.75 8.56 9.26 11.63 12.68 13.68 1989-2013 Commercial Average Price 7.67 7.51 7.84 8.78 9.69 10.30...

218

HIGH AVERAGE POWER UV FREE ELECTRON LASER EXPERIMENTS AT JLAB  

Science Conference Proceedings (OSTI)

Having produced 14 kW of average power at {approx}2 microns, JLAB has shifted its focus to the ultraviolet portion of the spectrum. This presentation will describe the JLab UV Demo FEL, present specifics of its driver ERL, and discuss the latest experimental results from FEL experiments and machine operations.

Douglas, David; Evtushenko, Pavel; Gubeli, Joseph; Hernandez-Garcia, Carlos; Legg, Robert; Neil, George; Powers, Thomas; Shinn, Michelle D; Tennant, Christopher

2012-07-01T23:59:59.000Z

219

Table WF01. Average Consumer Prices and Expenditures for ...  

U.S. Energy Information Administration (EIA)

Heating Oil U.S. Average Consumption (gallons) 522.7 531.7 572.5 538.2 574.1 465.3 539.9 546.9 1.3 ... Wood 2,094 2,179 2,353 2,424 2,454 2,520 2,582 ...

220

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1  

E-Print Network (OSTI)

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1 Adrian E. Raftery, Fadoua forecasting often exhibit a spread-skill relationship, but they tend to be underdispersive. This paper of PDFs centered around the individual (possibly bias-corrected) forecasts, where the weights are equal

Washington at Seattle, University of

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Information Leakage via Electromagnetic Emanation and Effectiveness of Averaging Technique  

Science Conference Proceedings (OSTI)

It is well known that there is relationship between electromagnetic emanation and processing information in IT devices such as personal computers and smart cards. In this paper, we show how to estimate amount of information that is leaked as electromagnetic ... Keywords: Tempest, Channel capacity, electromagnetic emanation, averaging technique

Hidema Tanaka

2008-04-01T23:59:59.000Z

222

Spatial analysis based on variance of moving window averages  

E-Print Network (OSTI)

R02 R04 R06 R08 R16 I n Window size B R02 R06 R10 R14 R20R04 R08 R12 R16 R24 R36 I n Window size Wu et al. , Fig. 2Based on Variance of Moving Window Averages B. M. Wu, K. V.

Wu, B M; Subbarao, K V; Ferrandino, F J; Hao, J J

2006-01-01T23:59:59.000Z

223

A Vertically Averaged Circulation Model Using Boundary-Fitted Coordinates  

Science Conference Proceedings (OSTI)

A two-dimensional vertically averaged circulation model using boundary-fitted coordinates has been developed for predicting sea level and currants in estuarine and shelf waters. The basic idea of the approach is to use a set of coupled quasi-...

Malcolm L. Spaulding

1984-05-01T23:59:59.000Z

224

3Q CY2003 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2003 (PDF), Facility Representative Program Performance 3Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from July to September 2003. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the facility Representative Program. 3Q CY2003, Facility Representative Program Performance Indicators More Documents & Publications 2Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2005 (PDF), Facility Representative Program Performance Indicators

225

High average power diode pumped solid state lasers for CALIOPE  

Science Conference Proceedings (OSTI)

Diode pumping of solid state media offers the opportunity for very low maintenance, high efficiency, and compact laser systems. For remote sensing, such lasers may be used to pump tunable non-linear sources, or if tunable themselves, act directly or through harmonic crystals as the probe. The needs of long range remote sensing missions require laser performance in the several watts to kilowatts range. At these power performance levels, more advanced thermal management technologies are required for the diode pumps. The solid state laser design must now address a variety of issues arising from the thermal loads, including fracture limits, induced lensing and aberrations, induced birefringence, and laser cavity optical component performance degradation with average power loading. In order to highlight the design trade-offs involved in addressing the above issues, a variety of existing average power laser systems are briefly described. Included are two systems based on Spectra Diode Laboratory`s water impingement cooled diode packages: a two times diffraction limited, 200 watt average power, 200 Hz multi-rod laser/amplifier by Fibertek, and TRW`s 100 watt, 100 Hz, phase conjugated amplifier. The authors also present two laser systems built at Lawrence Livermore National Laboratory (LLNL) based on their more aggressive diode bar cooling package, which uses microchannel cooler technology capable of 100% duty factor operation. They then present the design of LLNL`s first generation OPO pump laser for remote sensing. This system is specified to run at 100 Hz, 20 nsec pulses each with 300 mJ, less than two times diffraction limited, and with a stable single longitudinal mode. The performance of the first testbed version will be presented. The authors conclude with directions their group is pursuing to advance average power lasers. This includes average power electro-optics, low heat load lasing media, and heat capacity lasers.

Comaskey, B.; Halpin, J.; Moran, B.

1994-07-01T23:59:59.000Z

226

FAQS Qualification Card - Facility Representative | Department of Energy  

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

Representative Representative FAQS Qualification Card - Facility Representative A key element for the Department's Technical Qualification Programs is a set of common Functional Area Qualification Standards (FAQS) and associated Job Task Analyses (JTA). These standards are developed for various functional areas of responsibility in the Department, including oversight of safety management programs identified as hazard controls in Documented Safety Analyses (DSA). For each functional area, the FAQS identify the minimum technical competencies and supporting knowledge and skills for a typical qualified individual working in the area. FAQC-FacilityRepresentative.docx Description Facility Representative Qualification Card More Documents & Publications FAQS Gap Analysis Qualification Card - Facility Representative

227

4Q CY2003 (PDF), Facility Representative Program Performance Indicators  

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

4Q CY2003 (PDF), Facility Representative Program Performance 4Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from October to December 2003. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the facility Representative Program. As of December 31,2003, 93% of all Facility Representatives were fully qualified, exceeding the DOE goal of 80%. Currently, 23 of 27 sites meet the goal of 80%. Currently, 23 of 27 sites meet the goal for Facility Representative

228

2Q CY2003 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2003 (PDF), Facility Representative Program Performance 2Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from April to June 2003. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the facility Representative Program. A total of 13 Facility Representatives transferred to other positions during the quarter. Five of these accepted Facility Representative positions at other sites. Of the 8 that left the Program. 1 recieved a promotion and 7 accepted lateral positions. All of

229

2Q CY2006 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2006 (PDF), Facility Representative Program Performance 2Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2006. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives and reported to Headquarters program offices for evaluation and feedback to improve the FR program. 2Q CY2006, Facility Representative Program Performance Indicators More Documents & Publications 3Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2004 (PDF), Facility Representative Program Performance Indicators

230

Greening the U.S. House of Representatives  

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

Greening the U.S. House of Representatives Title Greening the U.S. House of Representatives Publication Type Report LBNL Report Number LBNL-322E Year of Publication 2008 Authors...

231

Nonlocal imaging by conditional averaging of random reference measurements  

E-Print Network (OSTI)

We report the nonlocal imaging of an object by conditional averaging of the random exposure frames of a reference detector, which only sees the freely propagating field from a thermal light source. A bucket detector, synchronized with the reference detector, records the intensity fluctuations of an identical beam passing through the object mask. These fluctuations are sorted according to their values relative to the mean, then the reference data in the corresponding time-bins for a given fluctuation range are averaged, to produce either positive or negative images. Since no correlation calculations are involved, this correspondence imaging technique challenges our former interpretations of "ghost" imaging. Compared with conventional correlation imaging or compressed sensing schemes, both the number of exposures and computation time are greatly reduced, while the visibility is much improved. A simple statistical model is presented to explain the phenomenon.

Kai-Hong Luo; Boqiang Huang; Wei-Mou Zheng; Ling-An Wu

2013-03-22T23:59:59.000Z

232

Database of average-power damage thresholds at 1064 nm  

Science Conference Proceedings (OSTI)

We have completed a database of average-power, laser-induced, damage thresholds at 1064 nm on a variety of materials. Measurements were made with a newly constructed laser to provide design input for moderate and high average-power laser projects. The measurements were conducted with 16-ns pulses at pulse-repetition frequencies ranging from 6 to 120 Hz. Samples were typically irradiated for time ranging from a fraction of a second up to 5 minutes (36,000 shots). We tested seven categories of samples which included antireflective coatings, high reflectors, polarizers, single and multiple layers of the same material, bare and overcoated metal surfaces, bare polished surfaces, and bulk materials. The measured damage threshold ranged from 46 J/cm/sup 2/ for a bare polished glass substrate. 4 refs., 7 figs., 1 tab.

Rainer, F.; Hildum, E.A.; Milam, D.

1987-12-14T23:59:59.000Z

233

Case Study 11 - A Collection of Homes Representing US ...  

Science Conference Proceedings (OSTI)

... A Collection of Homes Representing US Housing Stock. [Persily AK, Musser A., Leber D. (2006)]. In order to allow nationwide ...

234

Table 22. Average Price of U.S. Coke Imports  

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

Average Price of U.S. Coke Imports Average Price of U.S. Coke Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 22. Average Price of U.S. Coke Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Origin April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 263.21 252.66 353.05 261.29 356.01 -26.6 Canada 263.51 252.66 353.05 258.82 356.01 -27.3 Panama 263.09 - - 263.09 - - South America Total 196.86 194.14 175.88 195.94 181.01 8.2 Brazil - - 157.60 - 157.60 - Colombia 196.86 194.14 322.06 195.94 246.68 -20.6 Europe Total 181.55 232.13 385.65 225.53 384.96 -41.4 Czech Republic - 475.91 - 475.91 - - Spain 360.51

235

Table 8. Average Price of U.S. Coal Exports  

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

Average Price of U.S. Coal Exports Average Price of U.S. Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 8. Average Price of U.S. Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Destination April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 78.29 77.25 102.62 77.88 105.14 -25.9 Canada* 81.61 80.70 110.67 81.30 112.16 -27.5 Dominican Republic 78.54 75.09 73.89 75.77 76.61 -1.1 Honduras - 54.58 54.43 54.58 54.43 0.3 Jamaica 480.00 54.43 - 54.72 55.42 -1.3 Mexico 73.45 75.81 94.36 74.35 100.95 -26.3 Other** 80.33 389.30 70.37 82.45 76.10 8.3 South America Total 107.72 108.02 149.99 107.88

236

Table 17. Average Price of U.S. Coke Exports  

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

Average Price of U.S. Coke Exports Average Price of U.S. Coke Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 17. Average Price of U.S. Coke Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Destination April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 240.59 241.38 218.40 240.85 225.80 6.7 Canada* 147.49 330.47 243.04 183.08 286.56 -36.1 Mexico 316.57 211.63 189.12 273.97 171.71 59.6 Other** 612.42 485.63 134.48 525.92 135.04 289.5 South America Total 140.65 156.15 322.70 148.29 250.36 -40.8 Other** 140.65 156.15 322.70 148.29 250.36 -40.8 Europe Total 259.26 255.24 - 257.06 427.83 -39.9 Other**

237

Probability density function transformation using seeded localized averaging  

SciTech Connect

Seeded Localized Averaging (SLA) is a spectrum acquisition method that averages pulse-heights in dynamic windows. SLA sharpens peaks in the acquired spectra. This work investigates the transformation of the original probability density function (PDF) in the process of applying SLA procedure. We derive an analytical expression for the resulting probability density function after an application of SLA. In addition, we prove the following properties: 1) for symmetric distributions, SLA preserves both the mean and symmetry. 2) for uni-modal symmetric distributions, SLA reduces variance, sharpening the distributions peak. Our results are the first to prove these properties, reinforcing past experimental observations. Specifically, our results imply that in the typical case of a spectral peak with Gaussian PDF the full width at half maximum (FWHM) of the transformed peak becomes narrower even with averaging of only two pulse-heights. While the Gaussian shape is no longer preserved, our results include an analytical expression for the resulting distribution. Examples of the transformation of other PDFs are presented. (authors)

Dimitrov, N. B. [Operations Research Dept., Naval Postgraduate School, Monterey, CA 93943 (United States); Jordanov, V. T. [Yantel, LLC, Santa Fe, NM 87508 (United States)

2011-07-01T23:59:59.000Z

238

Spatial Domain Watermarking Scheme for Colored Images Based on Log-average Luminance  

E-Print Network (OSTI)

In this paper a new watermarking scheme is presented based on log-average luminance. A colored-image is divided into blocks after converting the RGB colored image to YCbCr color space. A monochrome image of 1024 bytes is used as the watermark. To embed the watermark, 16 blocks of size 8X8 are selected and used to embed the watermark image into the original image. The selected blocks are chosen spirally (beginning form the center of the image) among the blocks that have log-average luminance higher than or equal the log-average luminance of the entire image. Each byte of the monochrome watermark is added by updating a luminance value of a pixel of the image. If the byte of the watermark image represented white color (255) a value is added to the image pixel luminance value, if it is black (0) the is subtracted from the luminance value. To extract the watermark, the selected blocks are chosen as the above, if the difference between the luminance value of the watermarked image pixel and the original image pixe...

Hussein, Jamal A

2010-01-01T23:59:59.000Z

239

2Q CY2008 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2008 (PDF), Facility Representative Program Performance 2Q CY2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2008. Data for these indicators are gathered by Field elements quarterly per DOE-STD- 1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. A summary of this quarter's data concluded: 87% Fully Qualifed ( last quarter was 85%) 86% Staffing Level ( last quarter was 88%)

240

3Q CY2006 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2006 (PDF), Facility Representative Program Performance 3Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from July to September 2006. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives and reported to Headquarters program offices for evaluation and feedback to improve the FR program. A summary of this quarters data concluded: 76% fully qualified 41% staffing level

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

2Q CY2007 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2007 (PDF), Facility Representative Program Performance 2Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2007. Data for these indicators are gathered by field elements quarterly per DOE-STD-1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to impove the FR Program. A summary of this quarter's data concluded: 74% Fully Qualified 94% Staffing Level ( last quarter was

242

4Q CY2006 (PDF), Facility Representative Program Performance Indicators  

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

4Q CY2006 (PDF), Facility Representative Program Performance 4Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October to December 2006. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives and reported to Headquarters program offices for evaluation and feedback to improve the FR program. A summary of this quarters data concluded: 72% Fully Qualified ( last Quarter was

243

1Q CY2003 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2003 (PDF), Facility Representative Program Performance 1Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from January to March 2003. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the facility Representative Program. The percentage of Facility Representatives who are fully qualified reached 91% across DOE. In EM the percenage of 97%, in Sc the percentage is 95% and in NNSA the percentage is 78%. The DOE goal is 75%. Staffing levels for the three organizations continue to be below

244

1Q CY2010 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2010 (PDF), Facility Representative Program Performance 1Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January to March2010. Data for these indicators are gathered by Field elements quarterly per DOE-STD- 1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Highlights from this report are presented below." 1Q CY2010, Facility Representative Program Performance Indicators More Documents & Publications 1Q CY2011 (PDF), Facility Representative Program Performance Indicators

245

3Q CY2010 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2010 (PDF), Facility Representative Program Performance 3Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the highlights of the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period of July through September 2010. Data for these indicators are gathered by Field elements quarterly per Department of Energy (DOE) Standard (STD)-1063-2006, Facility Representative and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Facility Representative Program Performance Indicators for July - September 2010 More Documents & Publications 3Q CY2011 (PDF), Facility Representative Program Performance Indicators

246

1Q CY2000 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2000 (PDF), Facility Representative Program Performance 1Q CY2000 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2000 (PDF), Facility Representative Program Performance Indicators Quarterly Report "The Facility Representative Program Performance Indicators (PIs) Quarterly Report is attached, covering the period from January 2000 to March 2000. Data for these indicators are gathered by the Field elements quarterly per the Facility Representatives Standard, DOE-STD-1 063, and reported to Headquarters Program Offices for evaluation and feedback in order to improve the Facility Representative Program. The definitions of the PIs from the Standard are also attached for your use in evaluating the data." 1Q CY2000, Facility Representative Program Performance Indicators

247

4Q CY2002 (PDF), Facility Representative Program Performance Indicators  

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

2 (PDF), Facility Representative Program Performance 2 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative Program Performance Indicators (Pis) Quarterly Report Covering the Period from October to December 2002. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the facility Representative Program. The format of the report is changed from past reports. Information will now be provided according to the major offices having field or site office Facility Representative programs: National Nuclear Security Administration (NNSSA), the Office of

248

3Q CY2007 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2007 (PDF), Facility Representative Program Performance 3Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from July to September 2007. Data for these indicators are gathered by Field elements quarterly per Department of Energy (DOE-STD-1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR program. A summary of this quarter 's data concluded: 3Q CY2007, Facility Representative Program Performance Indicators More Documents & Publications 2Q CY2009 (PDF), Facility Representative Program Performance Indicators

249

Complete calculation of evaluated Maxwellian-averaged cross sections and their uncertainties for s-process nucleosynthesis  

Science Conference Proceedings (OSTI)

Present contribution represents a significant improvement of our previous calculation of Maxwellian-averaged cross sections and astrophysical reaction rates. Addition of newly-evaluated neutron reaction libraries, such as ROSFOND and Low-Fidelity Covariance Project, and improvements in data processing techniques allowed us to extend it for entire range of sprocess nuclei, calculate Maxwellian-averaged cross section uncertainties for the first time, and provide additional insights on all currently available neutron-induced reaction data. Nuclear reaction calculations using ENDF libraries and current Java technologies will be discussed and new results will be presented.

Pritychenko, B.

2010-07-19T23:59:59.000Z

250

Average waiting time profiles of uniform DQDB model  

SciTech Connect

The Distributed Queue Dual Bus (DQDB) system consists of a linear arrangement of N nodes that communicate with each other using two contra-flowing buses; the nodes use an extremely simple protocol to send messages on these buses. This simple, but elegant, system has been found to be very challenging to analyze. We consider a simple and uniform abstraction of this model to highlight the fairness issues in terms of average waiting time. We introduce a new approximation method to analyze the performance of DQDB system in terms of the average waiting time of a node expressed as a function of its position. Our approach abstracts the intimate relationship between the load of the system and its fairness characteristics, and explains all basic behavior profiles of DQDB observed in previous simulation. For the uniform DQDB with equal distance between adjacent nodes, we show that the system operates under three basic behavior profiles and a finite number of their combinations that depend on the load of the network. Consequently, the system is not fair at any load in terms of the average waiting times. In the vicinity of a critical load of 1 {minus} 4/N, the uniform network runs into a state akin to chaos, where its behavior fluctuates from one extreme to the other with a load variation of 2/N. Our analysis is supported by simulation results. We also show that the main theme of the analysis carries over to the general (non-uniform) DQDB; by suitably choosing the inter-node distances, the DQDB can be made fair around some loads, but such system will become unfair as the load changes.

Rao, N.S.V. [Oak Ridge National Lab., TN (United States); Maly, K.; Olariu, S.; Dharanikota, S.; Zhang, L.; Game, D. [Old Dominion Univ., Norfolk, VA (United States). Dept. of Computer Science

1993-09-07T23:59:59.000Z

251

Long-term average performance benefits of parabolic trough improvements  

DOE Green Energy (OSTI)

Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. This analysis quantifies the relative merit of various technological advancements in improving the long-term average performance of parabolic trough concentrating collectors and presents them graphically as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. Substantial annual energy gains (exceeding 50% at 350/sup 0/C) are shown to be attainable with improved parabolic troughs.

Gee, R.; Gaul, H.; Kearney, D.; Rabl, A.

1979-10-01T23:59:59.000Z

252

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 AEO 1996 1994 7.09 6.99 6.94 6.93 6.96 6.96 6.96 6.97 6.98 6.97 6.98 6.95 6.95 6.94 6.96 6.95 6.91 AEO 1997 1995 6.94 6.89 6.90 6.91 6.86 6.84 6.78 6.73 6.66 6.60 6.58 6.54 6.49 6.48 6.45 6.36

253

A high average power electro-optic switch using KTP  

SciTech Connect

High damage threshold, high thermal conductivity, and small thermo-optic coefficients make KTiOPO{sub 4} (KTP) an attractive material for use in a high average power Q-switch. However, electro-chromic damage and refractive index homogeneity have prevented the utilization of KTP in such a device in the past. This work shows that electro-chromic damage is effectively suppressed using capacitive coupling, and a KTP crystal can be Q-switched for 1.5 {times} 10{sup 9} shots without any detectable electro-chromic damage. In addition, KTP with the high uniformity and large aperture size needed for a KTP electro-optic Q-switch can be obtained from flux crystals grown at constant temperature. A thermally compensated, dual crystal KTP Q-switch, which successfully produced 50 mJ pulses with a pulse width of 8 ns (FWHM), has been constructed. In addition, in off-line testing the Q-switch showed less than 7% depolarization at an average power loading of 3.2 kW/cm{sup 2}.

Ebbers, C.A.; Cook, W.M.; Velsko, S.P.

1994-04-01T23:59:59.000Z

254

[Global warming and the running average sunspot number  

SciTech Connect

It has been reported in your pages that the Bush administration`s views and actions regarding how or whether to react to possible global warming due to greenhouse gases have been influenced by the so-called Marshall report. This unrefereed report, released by the George C. Marshall Institute, had as its principal conclusion the finding that the 0.5{degree} C global warming of the last century was mostly due to solar variability and, thus, the greenhouse warming of the 21st century can be expected to be a relatively small l{degree} C or so. The authors support this finding by comparing the 33-year running average sunspot number with the trend in annual average global temperature and noting the parallel between the two, especially during the 1940s--1960s when the temperature trend was downward. Subsequent letters to Science debated the merits of this and other conclusions contained in the report. I now present additional technical evidence which shows that, quite aside from the question of whether the data presented in the report support its conclusions, the actual figure on which the above conclusion is based is in error.

Fernau, M.E.

1994-05-01T23:59:59.000Z

255

Calculations of nonspherically averaged charge densities for subtitutionally disordered alloys  

Science Conference Proceedings (OSTI)

Based on screening transformations of muffin-tin orbitals introduced by Andersen et al. [Phys. Rev. Lett. 53, 2571 (1984)], we have developed a formalism for calculating the non-spherically averaged charge densities of substitutionally disordered alloys using the Korringa-Kohn-Rostoker coherent potential approximation (KKR CPA) method in the atomic-sphere approximation (ASA). We have validated our method by calculating charge densities for ordered structures, where we find that our approach yields charge densities that are essentially indistinguishable from the results of full-potential methods. For substitutionally disordered alloys, where full-potential methods have not been implemented so far, our approach can be used to calculate reliable non-spherically averaged charge densities from spherically symmetric one-electron potentials obtained from the KKR-ASA CPA. We report on our study of differences in charge denisty between ordered AlLi in L1{sub o} phase and substitutionally disordered Al{sub 0.5}Li{sub 0.5} on face-centered cubic lattice.

Singh, P.P.; Gonis, A.

1994-02-01T23:59:59.000Z

256

Plasma dynamics and a significant error of macroscopic averaging  

E-Print Network (OSTI)

The methods of macroscopic averaging used to derive the macroscopic Maxwell equations from electron theory are methodologically incorrect and lead in some cases to a substantial error. For instance, these methods do not take into account the existence of a macroscopic electromagnetic field EB, HB generated by carriers of electric charge moving in a thin layer adjacent to the boundary of the physical region containing these carriers. If this boundary is impenetrable for charged particles, then in its immediate vicinity all carriers are accelerated towards the inside of the region. The existence of the privileged direction of acceleration results in the generation of the macroscopic field EB, HB. The contributions to this field from individual accelerated particles are described with a sufficient accuracy by the Lienard-Wiechert formulas. In some cases the intensity of the field EB, HB is significant not only for deuteron plasma prepared for a controlled thermonuclear fusion reaction but also for electron plasma in conductors at room temperatures. The corrected procedures of macroscopic averaging will induce some changes in the present form of plasma dynamics equations. The modified equations will help to design improved systems of plasma confinement.

Marek A. Szalek

2005-05-22T23:59:59.000Z

257

Yearly average performance of the principal solar collector types  

DOE Green Energy (OSTI)

The results of hour-by-hour simulations for 26 meteorological stations are used to derive universal correlations for the yearly total energy that can be delivered by the principal solar collector types: flat plate, evacuated tubes, CPC, single- and dual-axis tracking collectors, and central receiver. The correlations are first- and second-order polynomials in yearly average insolation, latitude, and threshold (= heat loss/optical efficiency). With these correlations, the yearly collectible energy can be found by multiplying the coordinates of a single graph by the collector parameters, which reproduces the results of hour-by-hour simulations with an accuracy (rms error) of 2% for flat plates and 2% to 4% for concentrators. This method can be applied to collectors that operate year-around in such a way that no collected energy is discarded, including photovoltaic systems, solar-augmented industrial process heat systems, and solar thermal power systems. The method is also recommended for rating collectors of different type or manufacturer by yearly average performance, evaluating the effects of collector degradation, the benefits of collector cleaning, and the gains from collector improvements (due to enhanced optical efficiency or decreased heat loss per absorber surface). For most of these applications, the method is accurate enough to replace a system simulation.

Rabl, A.

1981-01-01T23:59:59.000Z

258

Facility Representative of the Year Award | Department of Energy  

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

Facility Representative of the Year Award Facility Representative of the Year Award Facility Representative of the Year Award Departmental Award Program administered by the Office of Chief Information Officer The Facility Representative Award Program is a special award designed to recognize superior or exemplary service by a Facility Representative over a period of one year. This special award program has been established in accordance with the requirements of Department of Energy (DOE) Order 331.1C, Employee Performance Management and Recognition Program. Facility Representative of the Year Award Responsible Contacts Lorrenda Buckner HUMAN RESOURCES SPECIALIST (PERFORMANCE MANAGEMENT) E-mail lorrenda.buckner@hq.doe.gov Phone 202-586-8451 More Documents & Publications Safety System Oversight Annual Award

259

1Q CY2011 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2011 (PDF), Facility Representative Program Performance 1Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the Period January through March 2011. Data for these indicators were gathered by Field Elements per Department of Energy's (DOE) Technical Standard (STD) 1063-2011, Facility Representatives, and reported to Headquarters Program Offices for evaluation and feedback to improve the FR Program. This report reflects changes in DOE STD 1063-2011 that deleted one indicator and changed the way two others are calculated. The changes are discussed below. Facility Representative Program Performance Indicators for January - March

260

3Q CY2002 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2002 (PDF), Facility Representative Program Performance 3Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from July to September 2002. Data for these indicators are gathered by the Field elements quarterly per the Facility Representatives Standards , DOE-STD-1063-2000, and reported to Headquarters Program Offices for evaluation and feedback in order to improve the Facility Representative Program. The definition of the PIs from the Standard are also attached for your use in evaluating the data. The percentage of fully qualified Facility Representatives in the DOE complex

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Facility Representative of the Year Award | Department of Energy  

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

Facility Representative of the Year Award Facility Representative of the Year Award Facility Representative of the Year Award Departmental Award Program administered by the Office of Chief Information Officer The Facility Representative Award Program is a special award designed to recognize superior or exemplary service by a Facility Representative over a period of one year. This special award program has been established in accordance with the requirements of Department of Energy (DOE) Order 331.1C, Employee Performance Management and Recognition Program. Facility Representative of the Year Award Responsible Contacts Lorrenda Buckner HUMAN RESOURCES SPECIALIST (PERFORMANCE MANAGEMENT) E-mail lorrenda.buckner@hq.doe.gov Phone 202-586-8451 More Documents & Publications Safety System Oversight Annual Award

262

1999 FACILITY REPRESENTATIVE CONFERENCE June 21 - 25, 1999 | Department  

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

1999 FACILITY REPRESENTATIVE CONFERENCE June 21 - 25, 1999 1999 FACILITY REPRESENTATIVE CONFERENCE June 21 - 25, 1999 1999 FACILITY REPRESENTATIVE CONFERENCE June 21 - 25, 1999 The Department of Energy will host the Facility Representative Annual Meeting on June 21-25, 1999 at the Alexis Park Hotel in Las Vegas, Nevada. The meeting will give Facility Representatives and line management the opportunity to share lessons learned, and to discuss upcoming program improvements. There is no cost for the meeting, however, rooms reserved at the government rate are limited so if you are planning on attending, please make reservations as soon as possible. The hotel phone number is 1-800-453-8000. For more information, please contact Joe Hassenfeldt, Facility Representative Program Manager, FM-10, at 202-586-1643." Microsoft Word - Document1

263

2Q CY2002 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2002 (PDF), Facility Representative Program Performance 2Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2002 (PDF), Facility Representative Program Performance Indicators Quarterly Report The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from April to June 2002. Data for these indicators are gathered by the Field elements quarterly per the Facility Representatives Standards , DOE-STD-1063-2000, and reported to Headquarters Program Offices for evaluation and feedback in order to improve the Facility Representative Program. The definition of the PIs from the Standard are also attached for your use in evaluating the data. Overall, the percentage of fully qualified Facility Representatives increased to 80% last quarter, from 78% the previous quarter , and

264

1Q CY2000, Facility Representative Program Performance Indicators  

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

May May 9,2000 MEMORANDUM FOR DISTRIBUTION FROM: .yc,..,%$'! L.W.T oseph Arango, Facl ity Representative Program Manager (S-3.1) SUBJECT: Facility Representative Program Performance Indicators Quarterly Report The Facility Representative Program Performance Indicators (PIs) Quarterly Report is attached, covering the period from January 2000 to March 2000. Data for these indicators are gathered by the Field elements quarterly per the Facility Representatives Standard, DOE-STD-1 063, and reported to Headquarters Program Offices for evaluation and feedback in order to improve the Facility Representative Program. The definitions of the PIs from the Standard are also attached for your use in evaluating the data. You will note that the indicators show the attrition of five Facility Representatives from the program during this reporting period. Of those five, two were promoted

265

4Q CY2001 (PDF), Facility Representative Program Performance Indicators  

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

4Q CY2001 (PDF), Facility Representative Program Performance 4Q CY2001 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2001 (PDF), Facility Representative Program Performance Indicators Quarterly Report The Facility Representive Program Performance Indicators (PIs) Quarterly Report is attached covering the period from October to December 2001. Data for these indicators are gathered by the Field elements quarterly per the Facility Representatives Standards , DOE-STD-1063, and reported to Headquarters Program Offices for evaluation and feedback in order to improve the Facility Representative Program. The definition of the PIs from the Standard are also attached for your use in evaluating the data 4Q CY2001, Facility Representative Program Performance Indicators More Documents & Publications

266

2Q CY2005 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2005 (PDF), Facility Representative Program Performance 2Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2005. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. As of June 30,2005, 97% of all FRs were fully qualified, down from 88% the previous quarter, but exceeding the DOE goal of 80%. Eighteen of 27 reporting sites meet the goal of FR qualifications. 2Q CY2005, Facility Representative Program Performance Indicators

267

October 2010, Facility Representative Qualification Standard Reference Guide  

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

Facility Facility Representative Qualification Standard Reference Guide OCTOBER 2010 Table of Contents i LIST OF FIGURES ..................................................................................................................... iii LIST OF TABLES ........................................................................................................................ v ACRONYMS ................................................................................................................................ vi PURPOSE ...................................................................................................................................... 1 SCOPE ........................................................................................................................................... 1

268

Herbert Richardson: Before The U.S. House of Representatives...  

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

Richardson: Before The U.S. House of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations Herbert Richardson: Before The U.S. House of...

269

Statement of Patricia Hoffman Before the US House of Representatives...  

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

on Energy and Power (May 9, 2012) Statement of Patricia Hoffman Before the US House of Representatives Energy and Commerce Subcommittee on Energy and Power (May 9, 2012)...

270

Statement of Patricia Hoffman Before the US House of Representatives...  

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

and Water Development (March 27, 2012) Statement of Patricia Hoffman Before the US House of Representatives Appropriations Subcommittee on Energy and Water Development (March...

271

Microsoft Word - 2.24 Safety Advisory Committee Representative...  

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

The SAC Representative is expected to: * Possess an understanding of Integrated Safety Management. * Communicate regularly with senior division management and other division...

272

Economic Analysis of a Representative Deep-Water Gas Production ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration Natural Gas 1998: Issues and Trends 181 Appendix C Economic Analysis of a Representative Deep-Water Gas Production Project

273

Reference Buildings by Climate Zone and Representative City:...  

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

& Publications Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas Reference Buildings by Building Type: Small Hotel Reference Buildings by Climate Zone...

274

Climate: monthly and annual average relative humidity GIS data at  

Open Energy Info (EERE)

relative humidity GIS data at relative humidity GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Relative Humidity at 10 m Above The Surface Of The Earth (%)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Relative Humidity at 10 m Above The Surface Of The Earth (%)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

275

Network-based consensus averaging with general noisy channels  

E-Print Network (OSTI)

This paper focuses on the consensus averaging problem on graphs under general noisy channels. We study a particular class of distributed consensus algorithms based on damped updates, and using the ordinary differential equation method, we prove that the updates converge almost surely to exact consensus for finite variance noise. Our analysis applies to various types of stochastic disturbances, including errors in parameters, transmission noise, and quantization noise. Under a suitable stability condition, we prove that the error is asymptotically Gaussian, and we show how the asymptotic covariance is specified by the graph Laplacian. For additive parameter noise, we show how the scaling of the asymptotic MSE is controlled by the spectral gap of the Laplacian.

Rajagopal, Ram

2008-01-01T23:59:59.000Z

276

Measurement strategies for estimating long-term average wind speeds  

DOE Green Energy (OSTI)

The uncertainty and bias in estimates of long-term average wind speeds inherent in continuous and intermittent measurement strategies are examined by simulating the application of the strategies to 40 data sets. Continuous strategies have smaller uncertainties for fixed duration measurement programs, but intermittent strategies make more efficient use of instruments and have smaller uncertainties for a fixed amount of instrument use. Continuous strategies tend to give biased estimates of the long-term annual mean speed unless an integral number of years' data is collected or the measurement program exceeds 3 years in duration. Intermittent strategies with three or more month-long measurement periods per year do not show any tendency toward bias.

Ramsdell, J.V.; Houston, S.; Wegley, H.L.

1980-10-01T23:59:59.000Z

277

EIA-Voluntary Reporting of Greenhouse Gases Program - Getting Started  

U.S. Energy Information Administration (EIA)

... your emissions inventory must meet the minimum quality requirement (quantity-weighted average quality rating of at least 3.0). Additionally ...

278

Thermal Conversion Factor Source Documentation  

U.S. Energy Information Administration (EIA)

national annual quantity-weighted average conversion factors for conventional, reformulated, and oxygenated motor gasolines (see Table A3). The factor ...

279

Representative well models for eight geothermal-resource areas  

DOE Green Energy (OSTI)

Representative well models have been constructed for eight major geothermal-resource areas. The models define representative times and costs associated with the individual operations that can be expected during drilling and completion of geothermal wells. The models were made for and have been used to evaluate the impacts of potential new technologies. The nature, construction, and validation of the models are presented.

Carson, C.C.; Lin, Y.T.; Livesay, B.J.

1983-02-01T23:59:59.000Z

280

Representing a robotic domain using temporal description logics  

Science Conference Proceedings (OSTI)

A temporal logic for representing and reasoning on a robotic domain is presented. Actions are represented by describing what is true while the action itself is occurring, and plans are constructed by temporally relating actions and world states. The ... Keywords: Action Representation, Description Logic, Robotics, Temporal Logic

Alessandro Artale; Enrico Franconi

1999-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

1Q CY2005 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2005 (PDF), Facility Representative Program Performance 1Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January to March 2005. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives. and reported to Headquarters program offices for evaluation and feedback in order to improve the FR Program. As of March 31st, 2005, 88% of all FRs were fully qualified, up from 86% the previous quarter, and exceeding the DOE goal of 80%. Several of the new FRs hired recently completed qualifications. Eighteen of 27 reporting sites meet the goal of FR qualifications

282

4Q CY2004 (PDF), Facility Representative Program Performance Indicators  

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

4 (PDF), Facility Representative Program Performance 4 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2004 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report Covering the Period from October to December 2004. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the FR program. As of December 31, 2004, 86% of all FRs were fully qualified,down from 89% the previous quarter, and exceeding the DOE goal of 80%. Several sites added new FRs or switched FRs from their exisiting facilities to new facilities, reducing the overall qualification rate.

283

2Q CY2004 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2004 (PDF), Facility Representative Program Performance 2Q CY2004 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2004 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report Covering the Period from April to June 2004. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the FR program. As of June 30, 2004, 89% of all FRs were fully qualified , exceeding the DOE goal of 80%, but down slightly from the previous quarter. Twenty of 28 reporting sites meet the goal for FR qualifications. Overall FR staffing is at 85% of the levels needed per the staffing

284

3Q CY2005 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2005 (PDF), Facility Representative Program Performance 3Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from July to September 2005. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives and reported to Headquarters program offices for evaluation and feedback to improve the FR program. As of September 30,2005, 84% of all FRs were fully qualified , down from 87% the previous quarter, but exceeding the DOE goal of 80%. Several sites shifted fully-qualifed FRs to new facilities, thus requiring new qualifications. Although the overall percentage of fully qualified FRS

285

3Q CY2004 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2004 (PDF), Facility Representative Program Performance 3Q CY2004 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2004 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report Covering the Period from July to September 2004. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the FR program. As of September 30, 2004, 89% of all FRs were fully qualified, the same as last quarter, and exceeding the DOE goal of 80%. Twenty of 28 reporting sites meet the goal for FR qualifications. Overall FR stadding is at 85% of the levels needed per the staffing analysis methodology in

286

2Q CY2009 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2009 (PDF), Facility Representative Program Performance 2Q CY2009 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2009 (PDF), Facility Representative Program Performance Indicators Quarterly Report "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2009. Data for these indicators are gathered by Field elements quarterly per DOE-STD- 1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. A summary of this quarter's data concluded: 77% Fully Qualified (last quarter was 78%) 90% Staffing Level ( last Quarter was 90%); 45% Time Spent in the Field (DOE goal is>40%); and 73% Time Spent in Oversight Activites (DOE Goal is > 65%)"

287

4Q CY2000, Facility Representative Program Performance Indicators  

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

Department of Energy Department of Energy Washington, DC 20585 February 26,2001 MEMORANDUM FOR DISTRIBUTION FROM: seph Arango, Facility Representative Program Manager (S-3.1) SUBJECT: Facility Representative Program Performance Indicators Quarterly Report The Facility Representative Program Performance Indicators Quarterly Report is attached, covering the period from October to December 2000. Data for these indicators are gathered by the Field elements quarterly per the Facility Representatives Standard, 063, and reported to Headquarters Program Offices for evaluation and feedback in order to improve the Facility Representative Program. The definitions of the PIs from the Standard are also attached for your use in evaluating the data. I intend to continue to provide this summary information to you quarterly. These provide

288

4Q CY2010 (PDF), Facility Representative Program Performance Indicators  

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

4Q CY2010 (PDF), Facility Representative Program Performance 4Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report "This memorandum summarizes the highlights of the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period October through December 2010. Data for these indicators were gathered by Field Elements quarterly per Department of Energy (DOE) Standard (STD)-1063-2006, Facility Representatives, and reported to Headquarters Program Offices for evaluation and feedback to improve the FR Program. Highlights from this report are presented below: FR Staffing/Qualification/Oversight Data * DOE was staffed at 184 FR Full Time Equivalents (FTEs) which is 92

289

4Q CY2008 (PDF), Facility Representative Program Performance Indicators  

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

4Q CY2008 (PDF), Facility Representative Program Performance 4Q CY2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October to December 2008. Data for these indicators are gathered by Field elements quarterly per DOE-STD- 1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. A summary of this quarter's data concluded: 76% Fully Qualified ( last Quarter was 80%) 89% Staffing Level (last Quarter was 89%) 44% Time Spent in the Field ( Department of Energy)(DOE) goal is > 40%) 73% Time Spent in Oversight Activites (DOE Goal is> 65%)"

290

4Q CY2011 (PDF), Facility Representative Program Performance Indicators  

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

4Q CY2011 (PDF), Facility Representative Program Performance 4Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report "This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October through December 2011. Data for these indicators were gathered by field elements per Department of Energy (DOE) Technical Standard 1063-2011 , Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Highlights from this report include: FR Staffing/Qualification/Oversight Data: * DOE was staffed at 179 FR Full Time Equivalents (FTE), which is 92 percent of the full staffing level (DOE goal is 100 percent). Four FRs left due to transfer,

291

4Q CY2007 (PDF), Facility Representative Program Performance Indicators  

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

4Q CY2007 (PDF), Facility Representative Program Performance 4Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October to December 2007. Data for these indicators are gathered by Field elements quarterly per DOE-STD- 1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. A summary of this quarter's data concluded: 83% Fully Qualified (last Quarter was 82%) 85% Staffing Level (last Quarter was 93%) 45% Time Spent in the Field (DOE goal is >40%) 73% Time Spent in Oversight Activities (DOE Goal is> 65%)"

292

1Q CY2006 (PDF), Facility Representative Program Performance Indicators  

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

6 (PDF), Facility Representative Program Performance 6 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January to March 2006. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives and reported to Headquarters program offices for evaluation and feedback to improve the FR program. As of March 31,2006 81% of all FRs were fully qualified,up from 78% the previous quarter, and just above the DOE goal of 80%. To assist site offices in continuing to meet the qualification goal, there will be two focused training sessions for FR candidates in the coming months. These

293

2Q CY2011 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2011 (PDF), Facility Representative Program Performance 2Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report "This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period April through June 20 1 1. Data for these indicators were gathered by Field Elements per Department of Energy (DOE) Technical Standard (STD) 1063-20 1 1, Facility Representatives, and reported to Headquarters Program Offices for evaluation and feedback to improve the FR Program. Highlights from this report: FR Staffing/Qualification/Oversight data DOE was staffed at 180 FR Full Time Equivalents (FTEs), which is 9 1 percent of the full staffing level (DOE goal is 100 percent).

294

2Q CY2010 (PDF), Facility Representative Program Performance Indicators  

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

Q CY2010 (PDF), Facility Representative Program Performance Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the highlight of, and announces the availablity on-line of, the Facility Representative (FR) Program Performance Indicators are gathered by Field elements quarterly per Department of Energy (DOE) Standard (STD)-1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. This memorandum also announces that Mr. James Heffner has turned over FR Program Manager duties to Mr. Earl Huges. Mr. Heffner is assuming expanded team leader duties over several additional programs within the

295

4Q CY2005 (PDF), Facility Representative Program Performance Indicators  

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

4Q CY2005 (PDF), Facility Representative Program Performance 4Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October to December 2005. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives and reported to Headquarters program offices for evaluation and feedback to improve the FR program. As of December 31, 2005 78% of all FRs were fully qualified , down from the 84% the previous quarter, and below the DOE goal of 80%. Site offices hired 11 new FRs in the quarter and several sites moved FRs to new facilities, thus requiring new qualifications.

296

1Q CY2009 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2009 (PDF), Facility Representative Program Performance 1Q CY2009 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2009 (PDF), Facility Representative Program Performance Indicators Quarterly Report "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January to March 2009. Data for these indicators are gathered by Field elements quarterly per DOE-STD- 1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. A summary of this quarter's data concluded: 78% Fully Qualified ( last Quarter was 76%) 90% Staffing Level ( last Quarter was 89%) 47% Time Spent in the Field (DOE goal is>40%) 74% Time Spent in Oversight Activites (DOE Goal is>65%)"

297

Fluid Flow Model Development for Representative Geologic Media | Department  

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

Fluid Flow Model Development for Representative Geologic Media Fluid Flow Model Development for Representative Geologic Media Fluid Flow Model Development for Representative Geologic Media Clay and granitic geologic rock units are potential host media for future repositories for used nuclear fuel and high level waste. This report addresses the representation of flow in these two media within numerical process models. Discrete fracture network (DFNs) models are an approach to representing flow in fractured granite that explicitly represents the geometry and flow properties of individual fractures. New DFN generation and computational grid generation methods have been developed and tested. Mesh generation and the generation of flow streamlines within the DFN are also included. Traditional form of Darcy's law is not adequate

298

Reference Buildings by Climate Zone and Representative City: 8 Fairbanks,  

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

Climate Zone and Representative City: 8 Climate Zone and Representative City: 8 Fairbanks, Alaska Reference Buildings by Climate Zone and Representative City: 8 Fairbanks, Alaska In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included. refbldg_8a_usa_ak_fairbanks_post1980_v1.3_5.0.zip refbldg_8a_usa_ak_fairbanks_post1980_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana Reference Buildings by Building Type: Secondary school

299

2Q CY2012 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2012 (PDF), Facility Representative Program Performance 2Q CY2012 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2012 (PDF), Facility Representative Program Performance Indicators Quarterly Report "This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April through June 2012. Data for these indicators were gathered by field elements per Department of Energy (DOE) Technical Standard 1063-2011, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Highlights from this report include: FR Staffing/Qualification/Oversight Data * DOE was staffed at 176 FR Full Time Equivalents (FTE), which is 95 percent of the full staffing level (DOE goal is 100 percent). This staff reflects a

300

Table 15. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Average Electricity Prices, Projected vs. Actual Average Electricity Prices, Projected vs. Actual (nominal cents per kilowatt-hour) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.38 6.96 7.63 8.23 8.83 9.49 AEO 1983 6.85 7.28 7.74 8.22 8.68 9.18 13.12 AEO 1984 6.67 7.05 7.48 7.89 8.25 8.65 11.53 AEO 1985 6.62 6.94 7.32 7.63 7.89 8.15 8.46 8.85 9.20 9.61 10.04 AEO 1986 6.67 6.88 7.05 7.18 7.35 7.52 7.65 7.87 8.31 8.83 9.41 10.01 10.61 11.33 12.02 AEO 1987 6.63 6.65 6.92 7.12 7.38 7.62 7.94 8.36 8.86 11.99 AEO 1989* 6.50 6.75 7.14 7.48 7.82 8.11 8.50 8.91 9.39 9.91 10.49 11.05 11.61 AEO 1990 6.49 6.72 8.40 10.99 14.5 AEO 1991 6.94 7.31 7.59 7.82 8.18 8.38 8.54 8.73 8.99 9.38 9.83 10.29 10.83 11.36 11.94 12.58 13.21 13.88 14.58 15.21 AEO 1992 6.97 7.16 7.32 7.56 7.78 8.04 8.29 8.57 8.93 9.38 9.82 10.26 10.73 11.25 11.83 12.37 12.96 13.58 14.23 AEO 1993

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection  

SciTech Connect

Model specification remains challenging in spectroscopy of plant biochemistry, as exemplified by the availability of various spectral indices or band combinations for estimating the same biochemical. This lack of consensus in model choice across applications argues for a paradigm shift in hyperspectral methods to address model uncertainty and misspecification. We demonstrated one such method using Bayesian model averaging (BMA), which performs variable/band selection and quantifies the relative merits of many candidate models to synthesize a weighted average model with improved predictive performances. The utility of BMA was examined using a portfolio of 27 foliage spectralchemical datasets representing over 80 species across the globe to estimate multiple biochemical properties, including nitrogen, hydrogen, carbon, cellulose, lignin, chlorophyll (a or b), carotenoid, polar and nonpolar extractives, leaf mass per area, and equivalent water thickness. We also compared BMA with partial least squares (PLS) and stepwise multiple regression (SMR). Results showed that all the biochemicals except carotenoid were accurately estimated from hyerspectral data with R2 values > 0.80.

Zhao, Kaiguang; Valle, Denis; Popescu, Sorin; Zhang, Xuesong; Malick, Bani

2013-05-15T23:59:59.000Z

302

Plate with a hole obeys the averaged null energy condition  

SciTech Connect

The negative energy density of Casimir systems appears to violate general relativity energy conditions. However, one cannot test the averaged null energy condition (ANEC) using standard calculations for perfectly reflecting plates, because the null geodesic would have to pass through the plates, where the calculation breaks down. To avoid this problem, we compute the contribution to ANEC for a geodesic that passes through a hole in a single plate. We consider both Dirichlet and Neumann boundary conditions in two and three space dimensions. We use a Babinet's principle argument to reduce the problem to a complementary finite disk correction to the perfect mirror result, which we then compute using scattering theory in elliptical and spheroidal coordinates. In the Dirichlet case, we find that the positive correction due to the hole overwhelms the negative contribution of the infinite plate. In the Neumann case, where the infinite plate gives a positive contribution, the hole contribution is smaller in magnitude, so again ANEC is obeyed. These results can be extended to the case of two plates in the limits of large and small hole radii. This system thus provides another example of a situation where ANEC turns out to be obeyed when one might expect it to be violated.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2005-07-15T23:59:59.000Z

303

Table 19. Average Price of U.S. Coal Imports  

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

Price of U.S. Coal Imports Price of U.S. Coal Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 19. Average Price of U.S. Coal Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Origin April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 147.86 138.39 191.01 144.86 197.96 -26.8 Canada 147.86 138.39 191.00 144.86 197.95 -26.8 Mexico - - 286.23 - 286.23 - South America Total 75.29 80.74 86.52 77.20 87.17 -11.4 Argentina - - 504.70 - 504.70 - Colombia 74.87 80.74 83.03 76.96 85.25 -9.7 Peru 87.09 - - 87.09 - - Venezuela 91.81 - 122.01 91.81 112.61 -18.5 Europe Total - 136.50 137.33 136.50 146.31 -6.7

304

Climate: monthly and annual average atmospheric pressure GIS data at  

Open Energy Info (EERE)

atmospheric pressure GIS data at atmospheric pressure GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract):Atmospheric Pressure (kPa)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Atmospheric Pressure (kPa)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

305

Long-term average performance benefits of parabolic trough improvements  

DOE Green Energy (OSTI)

Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. The difficulty of achieving these improvements varies as does their potential for increasing parabolic trough performance. The purpose of this analysis is to quantify the relative merit of various technology advancements in improving the long-term average performance of parabolic trough concentrating collectors. The performance benefits of improvements are determined as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. The results are presented graphically to allow a quick determination of the performance merits of particular improvements. Substantial annual energy gains are shown to be attainable. Of the improvements evaluated, the development of stable back-silvered glass reflective surfaces offers the largest performance gain for operating temperatures below 150/sup 0/C. Above 150/sup 0/C, the development of trough receivers that can maintain a vacuum is the most significant potential improvement. The reduction of concentrator slope errors also has a substantial performance benefit at high operating temperatures.

Gee, R.; Gaul, H.W.; Kearney, D.; Rabl, A.

1980-03-01T23:59:59.000Z

306

Facility Representative Program Performance Indicators for October - December 2010  

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

FOR DISTRIBUTION FOR DISTRIBUTION FROM: ANDREW C. LAWRENCE DIRECTOR OFFICE OF NUCLEAR SAFETY, QUALITY ASSURANCE AND ENVIRONMENT OFFICE OF HEALTH, SAFETY AND SECURITY SUBJECT: Facility Representative Program Performance Indicators Quarterly Report, October-December (Fourth Quarter Calendar Year 2010) This memorandum summarizes the highlights of the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period October through December 2010. Data for these indicators were gathered by Field Elements quarterly per Department of Energy (DOE) Standard (STD)-1063-2006, Facility Representatives, and reported to Headquarters Program Offices for evaluation and feedback to improve the FR Program. Highlights from this report are presented below:

307

Radionuclide Interaction and Transport in Representative Geologic Media |  

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

Radionuclide Interaction and Transport in Representative Geologic Radionuclide Interaction and Transport in Representative Geologic Media Radionuclide Interaction and Transport in Representative Geologic Media The report presents information related to the development of a fundamental understanding of disposal-system performance in a range of environments for potential wastes that could arise from future nuclear fuel cycle alternatives. It addresses selected aspects of the development of computational modeling capability for the performance of storage and disposal options. Topics include radionuclide interaction with geomedia, colloid-facilitated radionuclide transport (Pu colloids), interaction between iodide (accumulate in the interlayer regions of clay minerals) and a suite of clay minerals, adsorption of uranium onto granite and bentonite,

308

WIPP Representative Selected For National Environmental Justice Advisory  

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

Representative Selected For National Environmental Justice Representative Selected For National Environmental Justice Advisory Board WIPP Representative Selected For National Environmental Justice Advisory Board March 1, 2012 - 12:00pm Addthis Rose Scott, a governmental affairs specialist with URS Washington TRU Solutions LLC, the DOE Waste Isolation Pilot Plant management and operating contractor, was selected for the National Environmental Justice Advisory Board. Rose Scott, a governmental affairs specialist with URS Washington TRU Solutions LLC, the DOE Waste Isolation Pilot Plant management and operating contractor, was selected for the National Environmental Justice Advisory Board. CARLSBAD, N.M. - Organizers say no similar opportunity or conference exists in America. In April, representatives from federal and state

309

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

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

310

2Q CY2007, Facility Representative Program Performance Indicators  

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

0,2007 0,2007 M E M 0 R A N D ; p s ' X Z FROM: M RK B. WHI DEPARTMENTAL REPRESENTATIVE TO THE DEFENSE NUCLEAR FACILITIES SAFETY BOARD OFFICE OF HEALTH, SAFETY AND SECURITY SUBJECT: Facility Representative Program Performance Indicators Quarterly Report, April - June (2nd Quarter CY2007) Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2007. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. A summary of this quarter's data concluded: 74% Fully Qualified (last Quarter was 72%) 94% Staffing Level (last Quarter was 9 1 %)

311

Reference Buildings by Climate Zone and Representative City: 7 Duluth,  

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

7 7 Duluth, Minnesota Reference Buildings by Climate Zone and Representative City: 7 Duluth, Minnesota In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included. refbldg_7a_usa_mn_duluth_pre1980_v1.3_5.0.zip refbldg_7a_usa_mn_duluth_pre1980_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 3B Los Angeles, California Reference Buildings by Climate Zone and Representative City: 3C San Francisco, California Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois

312

WIPP Representative Selected For National Environmental Justice Advisory  

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

WIPP Representative Selected For National Environmental Justice WIPP Representative Selected For National Environmental Justice Advisory Board WIPP Representative Selected For National Environmental Justice Advisory Board March 1, 2012 - 12:00pm Addthis Rose Scott, a governmental affairs specialist with URS Washington TRU Solutions LLC, the DOE Waste Isolation Pilot Plant management and operating contractor, was selected for the National Environmental Justice Advisory Board. Rose Scott, a governmental affairs specialist with URS Washington TRU Solutions LLC, the DOE Waste Isolation Pilot Plant management and operating contractor, was selected for the National Environmental Justice Advisory Board. CARLSBAD, N.M. - Organizers say no similar opportunity or conference exists in America. In April, representatives from federal and state

313

Reference Buildings by Climate Zone and Representative City: 6A  

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

A A Minneapolis, Minnesota Reference Buildings by Climate Zone and Representative City: 6A Minneapolis, Minnesota In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included. refbldg_6a_usa_mn_minneapolis_post1980_v1.3_5.0.zip refbldg_6a_usa_mn_minneapolis_post1980_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 7 Duluth, Minnesota Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois Reference Buildings by Climate Zone and Representative City: 5B Boulder,

314

Representing Drag on Unresolved Terrain as a Distributed Momentum Sink  

Science Conference Proceedings (OSTI)

In numerical weather prediction models, drag on unresolved terrain is usually represented by augmenting the boundary drag on the model atmosphere, in terms of an effective surface roughness length. But as is shown here, if a terrain-following ...

John D. Wilson

2002-05-01T23:59:59.000Z

315

Reference Buildings by Climate Zone and Representative City:...  

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

A Houston, Texas Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas In addition to the ZIP file for each building type, you can directly view the...

316

Secretary Chu: China's Clean Energy Successes Represent a New...  

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

at the National Press Club, U.S Energy Secretary Steven Chu said that the success of China and other countries in clean energy industries represents a new "Sputnik Moment" for...

317

Quantum states representing perfectly secure bits are always distillable  

E-Print Network (OSTI)

It is proven that recently introduced states with perfectly secure bits of cryptographic key (private states representing secure bit) [K. Horodecki et al., Phys. Rev. Lett. 94, 160502 (2005)] as well as its multipartite and higher dimension generalizations always represent distillable entanglement. The corresponding lower bounds on distillable entanglement are provided. We also present a simple alternative proof that for any bipartite quantum state entanglement cost is an upper bound on distillable cryptographic key in bipartite scenario.

Pawel Horodecki; Remigiusz Augusiak

2006-02-21T23:59:59.000Z

318

2012 Brief: Average 2012 crude oil prices remain near 2011 levels ...  

U.S. Energy Information Administration (EIA)

Brent crude oil averaged $111.67 per barrel, slightly above the 2011 average of $111.26. West Texas Intermediate oil averaged $94.05 per barrel in 2012, ...

319

Simulating a Nationally Representative Housing Sample Using EnergyPlus  

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

Simulating a Nationally Representative Housing Sample Using EnergyPlus Simulating a Nationally Representative Housing Sample Using EnergyPlus Title Simulating a Nationally Representative Housing Sample Using EnergyPlus Publication Type Report LBNL Report Number LBNL-4420E Year of Publication 2011 Authors Hopkins, Asa S., Alexander B. Lekov, James D. Lutz, and Gregory J. Rosenquist Subsidiary Authors Energy Analysis Department Pagination 55 Date Published March 1 Publisher Lawrence Berkeley National Laboratory City Berkeley ISBN Number LBNL-4420E Abstract This report presents a new simulation tool under development at Lawrence Berkeley National Laboratory (LBNL). This tool uses EnergyPlus to simulate each single-family home in the Residential Energy Consumption Survey (RECS), and generates a calibrated, nationally representative set of simulated homes whose energy use is statistically indistinguishable from the energy use of the single-family homes in the RECS sample. This research builds upon earlier work by Ritchard et al. for the Gas Research Institute and Huang et al. for LBNL. A representative national sample allows us to evaluate the variance in energy use between individual homes, regions, or other subsamples; using this tool, we can also evaluate how that variance affects the impacts of potential policies.

320

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

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

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Facility Representative Program Performance Indicators for April - June 2011  

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

0 , 2011 MEMORANDUM FOR DISTRIBUTION FROM: JAMES B. O'BRIEN SUBJECT: Facility Representative Program Performance Indicators Quarterly Report, April - June 20 1 I This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period April through June 20 1 1. Data for these indicators were gathered by Field Elements per Department of Energy (DOE) Technical Standard (STD) 1063-20 1 1, Facility Representatives, and reported to Headquarters Program Offices for evaluation and feedback to improve the FR Program. Highlights from this report: FR Staffin~/Qualification/Oversi~ht Data DOE was staffed at 180 FR Full Time Equivalents (FTEs), which is 9 1 percent of the full staffing level (DOE goal is 100 percent).

322

4Q CY2007, Facility Representative Program Performance Indicators  

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

6, 2008 6, 2008 MEMORANDUM FROM: DEPARTMENTAL REPRESENTATNE TO THE DEFENSE NUCLEAR FACILITIES SAFETY BOARD OFFICE OF HEALTH, SAFETY AND SECURITY SUBJECT: Facility Representative Program Performance Indicators Quarterly Report, October - December (4th Quarter CY2007) Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October to December 2007. Data for these indicators are gathered by Field elements quarterly per DOE-STD- 1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. A summary of this quarter's data concluded: 83% Fully Qualified (last Quarter was 82%) 85% Staffing Level (last Quarter was 93%) 45% Time Spent in the Field (DOE goal is >40%)

323

June 21, 1999 Memo, Facility Representative Program Status  

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

June June 21, 1999 MEMORANDUM FOR: Assistant Secretary for Defense Programs Assistant Secretary for Environmental Management Director, Office of Science Director, Office of Nuclear Energy, Science and Technology FROM: John Wilcynski, Director, Office of Field Integration SUBJECT: FACILITY REPRESENTATIVE PROGRAM STATUS Since September, 1993, the Office of Field Management has served as the Department's corporate advocate for the Facility Representative Program. The Facility Representative (FR) is a critical technical position serving as line management's "eyes and ears" for operational safety in our contractor-operated facilities. I recognize the importance of the FR Program, and commit the Office of Field Integration (FI) to its continued crosscutting support. The FI staff continues to work with your staff members and with the Defense Nuclear Facilities

324

Electrical Safety Assessment Plan--NNSA/NSO IOD Facility Representative,  

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

Electrical Safety Assessment Plan--NNSA/NSO IOD Facility Electrical Safety Assessment Plan--NNSA/NSO IOD Facility Representative, 12/03 Electrical Safety Assessment Plan--NNSA/NSO IOD Facility Representative, 12/03 An assessment of the Electrical Safety (ES) program at XXXX was conducted during the week of December XX-XX, 2003. The assessment team evaluated the program using the programmatic areas and specific Lines of Inquiry (LOI) contained in the approved Assessment plan provided. The team consisted of the Facility Representative from National Nuclear Security Administration, as well as ES, Subject Matter Expert support. The assessment plan identified 5 areas of review for Electrical Safety. An integrated process has been established to ensure electrical safety hazards are identified and that adequate controls are defined and

325

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

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

326

DOE Order Self Study Modules - DOE STD 1063, Facility Representatives  

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

63-2011 63-2011 FACILITY REPRESENTATIVES DOE-STD-1063-2011 Familiar Level August 2011 1 DOE-STD-1063-2011 FACILITY REPRESENTATIVES FAMILIAR LEVEL OBJECTIVES Given the familiar level of this module and the resources listed below, you will be able to answer the following questions: 1. What are the purpose and scope of DOE-STD-1063-2011? 2. What are the definitions of the terms listed in section 3 of DOE-STD-1063-2011? 3. What are the duties, responsibilities, and authorities of facility representatives (FRs) and other key personnel? 4. What are the requirements of the FR program? 5. What are the Department of Energy (DOE)-wide FR performance indicators (PIs)? 6. How are DOE-wide FR PIs calculated? 7. What are the FR program objectives that should be measured by an FR program

327

SUBJECT: Guidance on Retention of Facility Representative Technical  

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

SUBJECT: Guidance on Retention of Facility Representative Technical SUBJECT: Guidance on Retention of Facility Representative Technical Competence during Reductions in Force, 4/21/1998 SUBJECT: Guidance on Retention of Facility Representative Technical Competence during Reductions in Force, 4/21/1998 The Department's Revised Implementation Plan (IP) for Defense Nuclear Facilities Safety Board Recommendation 93-3 renews the Department's commitment to maintaining the technical capability necessary to safely manage and operate defense nuclear facilities. Retaining highly qualified employees in critical technical skills areas is vital to the maintenance of these technical capabilities. The Department has therefore committed in the revised R? to the development of a model that offices can use to proactively manage and preserve critical technical capabilities. During the

328

Facility Representative Program Performance Indicators for October-December 2011  

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

2012 2012 MEMORANDUM FOR DISTRIBUTION FROM: JAMES B. O'BRIEN DIRECTOR ~ OFFICE OF :-IDC~AR AFETY OFFICE OF HEAL 'l;H, AFETY AND SECURITY SUBJECT: Facility Representative Program Performance Indicators Quarterly Report, October- December 20 ll This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from October through December 2011. Data for these indicators were gathered by field elements per Department of Energy (DOE) Technical Standard 1063-2011 , Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Highlights from this report include: FR Staffing/Qualification/Oversight Data * DOE was staffed at 179 FR Full Time Equivalents (FTE), which is 92 percent of the full

329

Fuel options from microalgae with representative chemical compositions  

DOE Green Energy (OSTI)

Representative species of microalgae are examined with respect to their reported chemical compositions. Each species is analyzed under a variety of culture conditions, with the objective being to characterize an optimum mixture of fuel products (e.g., methane, ethanol, methylester) which should be produced by the particular species. Historically the emphasis has been on the entire algal cell mass. Using the reported chemical composition for the representative species under specific sets of growth conditions, some conclusions can be drawn about the preferred fuel product conversion routes that could be employed. 10 references, 7 figures, 12 tables.

Feinberg, D. A.

1984-07-01T23:59:59.000Z

330

Experimental investigation of a moving averaging algorithm for motion perpendicular to the leaf travel direction in dynamic MLC target tracking  

SciTech Connect

Purpose: In dynamic multileaf collimator (MLC) motion tracking with complex intensity-modulated radiation therapy (IMRT) fields, target motion perpendicular to the MLC leaf travel direction can cause beam holds, which increase beam delivery time by up to a factor of 4. As a means to balance delivery efficiency and accuracy, a moving average algorithm was incorporated into a dynamic MLC motion tracking system (i.e., moving average tracking) to account for target motion perpendicular to the MLC leaf travel direction. The experimental investigation of the moving average algorithm compared with real-time tracking and no compensation beam delivery is described. Methods: The properties of the moving average algorithm were measured and compared with those of real-time tracking (dynamic MLC motion tracking accounting for both target motion parallel and perpendicular to the leaf travel direction) and no compensation beam delivery. The algorithm was investigated using a synthetic motion trace with a baseline drift and four patient-measured 3D tumor motion traces representing regular and irregular motions with varying baseline drifts. Each motion trace was reproduced by a moving platform. The delivery efficiency, geometric accuracy, and dosimetric accuracy were evaluated for conformal, step-and-shoot IMRT, and dynamic sliding window IMRT treatment plans using the synthetic and patient motion traces. The dosimetric accuracy was quantified via a {gamma}-test with a 3%/3 mm criterion. Results: The delivery efficiency ranged from 89 to 100% for moving average tracking, 26%-100% for real-time tracking, and 100% (by definition) for no compensation. The root-mean-square geometric error ranged from 3.2 to 4.0 mm for moving average tracking, 0.7-1.1 mm for real-time tracking, and 3.7-7.2 mm for no compensation. The percentage of dosimetric points failing the {gamma}-test ranged from 4 to 30% for moving average tracking, 0%-23% for real-time tracking, and 10%-47% for no compensation. Conclusions: The delivery efficiency of moving average tracking was up to four times higher than that of real-time tracking and approached the efficiency of no compensation for all cases. The geometric accuracy and dosimetric accuracy of the moving average algorithm was between real-time tracking and no compensation, approximately half the percentage of dosimetric points failing the {gamma}-test compared with no compensation.

Yoon, Jai-Woong; Sawant, Amit; Suh, Yelin; Cho, Byung-Chul; Suh, Tae-Suk; Keall, Paul [Department of Biomedical Engineering, College of Medicine, Catholic University of Korea, Seoul, Korea 131-700 and Research Institute of Biomedical Engineering, Catholic University of Korea, Seoul, 131-700 (Korea, Republic of); Department of Radiation Oncology, Stanford University, Stanford, California 94305 (United States); Department of Radiation Oncology, Stanford University, Stanford, California 94305 (United States) and Department of Radiation Oncology, Asan Medical Center, Seoul, 138-736 (Korea, Republic of); Department of Biomedical Engineering, College of Medicine, Catholic University of Korea, Seoul, 131-700 and Research Institute of Biomedical Engineering, Catholic University of Korea, Seoul, 131-700 (Korea, Republic of); Department of Radiation Oncology, Stanford University, Stanford, California 94305 (United States) and Radiation Physics Laboratory, Sydney Medical School, University of Sydney, 2006 (Australia)

2011-07-15T23:59:59.000Z

331

On the construction of generalized Grassmann representatives of state vectors  

E-Print Network (OSTI)

Generalized $Z_k$-graded Grassmann variables are used to label coherent states related to the nilpotent representation of the q-oscillator of Biedenharn and Macfarlane when the deformation parameter is a root of unity. These states are then used to construct generalized Grassmann representatives of state vectors.

M. El Baz; Y. Hassouni

2004-09-17T23:59:59.000Z

332

Can Regional Climate Models Represent the Indian Monsoon?  

Science Conference Proceedings (OSTI)

The ability of four regional climate models (RCMs) to represent the Indian monsoon was verified in a consistent framework for the period 19812000 using the 45-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) as ...

Philippe Lucas-Picher; Jens H. Christensen; Fahad Saeed; Pankaj Kumar; Shakeel Asharaf; Bodo Ahrens; Andrew J. Wiltshire; Daniela Jacob; Stefan Hagemann

2011-10-01T23:59:59.000Z

333

Identifying and representing elements of local contexts in namibia  

Science Conference Proceedings (OSTI)

In an attempt to represent local context in a 3D visualisation for rural elders in Namibia we have found major differences in the conceptualization of this context between external and local partners in the co-creation process. Through the evaluation ... Keywords: context, context-aware, indigenous knowledge, participatory design, re-contextualization

Kasper Rodil, Kasper Lvborg Jensen, Matthias Rehm, Heike Winschiers-Theophilus

2013-07-01T23:59:59.000Z

334

Representing digital assets usingMPEG-21 Digital Item Declaration  

Science Conference Proceedings (OSTI)

Various XML-based approaches aimed at representing compound digital assets have emerged over the last several years. Approaches that are of specific relevance to the digital library community include the Metadata Encoding and Transmission Standard (METS), ... Keywords: Digital Item, Digital asset, MPEG-21 DID, OAI-PMH, OpenURL

Jeroen Bekaert; Emiel De Kooning; Herbert de Sompel

2006-04-01T23:59:59.000Z

335

Responses to Questions from the Texas House of Representatives  

E-Print Network (OSTI)

to Texas. However, several specific factors place the future of transportation in the state at risk. Given1 Responses to Questions from the Texas House of Representatives Select Committee on Transportation Funding Prepared for The Honorable Eddie Rodriguez Vice Chair Select Committee on Transportation Funding

336

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

3 Average Square Footage of West Homes, by Housing Characteristics, 2009" 3 Average Square Footage of West Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total West",24.8,1708,1374,800,628,506,294 "West Divisions and States" "Mountain",7.9,1928,1695,1105,723,635,415 "Mountain North",3.9,2107,1858,912,776,684,336 "Colorado",1.9,2082,1832,722,896,788,311 "Idaho, Montana, Utah, Wyoming",2,2130,1883,1093,691,610,354

337

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" 1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Midwest",25.9,2272,1898,1372,912,762,551 "Midwest Divisions and States" "East North Central",17.9,2251,1869,1281,892,741,508 "Illinois",4.8,2186,1911,1451,860,752,571 "Michigan",3.8,1954,1559,962,729,582,359 "Wisconsin",2.3,2605,2091,1258,1105,887,534

338

Livermore Site Office Facility Representative Program Self-Assessment  

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

ARPT-LSO-2011-001 ARPT-LSO-2011-001 Site: Livermore Site Office Subject: Office of Independent Oversight's Office of Environment, Safety and Health Evaluations Activity Report for the Livermore Site Office Facility Representative Program Self-Assessment Dates of Activity 01/24/2011 - 01/28/2011 Report Preparer Robert Freeman Activity Description/Purpose: This activity report documents the results of the Office of Health, Safety and Security's (HSS) review of and participation in the Livermore Site Office Self-Assessment of the Facility Representative (FR) Program. This self-assessment was led by the U.S. Department of Energy (DOE) Livermore Site Office (LSO) and conducted by LSO staff, HSS staff, National Nuclear Security Administration (NNSA) Office of the Chief of Defense Nuclear Safety (CDNS) staff, a peer from Los Alamos Site

339

Processes, data structures, and apparatuses for representing knowledge  

SciTech Connect

Processes, data structures, and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.

Hohimer, Ryan E. (West Richland, WA); Thomson, Judi R. (Guelph, CA); Harvey, William J. (Richland, WA); Paulson, Patrick R. (Pasco, WA); Whiting, Mark A. (Richland, WA); Tratz, Stephen C. (Richland, WA); Chappell, Alan R. (Seattle, WA); Butner, R. Scott (Richland, WA)

2011-09-20T23:59:59.000Z

340

Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip  

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

5: March 22, 5: March 22, 2010 Average Vehicle Trip Length to someone by E-mail Share Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Facebook Tweet about Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Twitter Bookmark Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Google Bookmark Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Delicious Rank Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Digg Find More places to share Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on AddThis.com... Fact #615: March 22, 2010 Average Vehicle Trip Length According to the latest National Household Travel Survey, the average trip

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

DOE | Office of Health, Safety and Security | 2012 Facility Representative,  

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

Facility Representative Facility Representative Office of Nuclear Safety Home Facility Representative Home Annual Facility Rep Workshop › 2012 › 2011 › 2010 › 2009 › 2008 › 2007 › 2006 › 2005 › 2004 › 2003 › 2002 › 2001 › 2000 DOE Safety Links › ORPS Info › Operating Experience › DOE Lessons Learned › Accident Investigation Assessment Tools › FR CRADs › Surveillance Guides › Manager's Guide for Safety and Health Subject Matter Links General Program Information › Program Mission Statement › Program Directives and Guidance › FR of the Year Award Program › FR of the Year Award › FR Program Assessment Guide (Appendix B, DOE STD 1063-2011) FR Quarterly Performance Indicators Training & Qualification Information › Qualification Standards › Energy Online Courses

342

Domain assignments for FSSP representative set using DomainParser  

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

Domain assignments for the FSSP representative set Domain assignments for the FSSP representative set The following are the domain assignments for the FSSP representative set (released on January 31, 2000, 1987 chains in total) using DomainParser. Each line shows a PDB entry (with a chain identifier if any), total number of residues, number of domains, and domain assignments. The result is obtained fully automatically without manual editing. 12asa 327 2 (33-86; 271-288) (4-32; 87-270; 289-330) 153l 185 1 16pk 415 2 (5-205; 409-419) (206-408) 16vpa 311 2 (47-130; 164-233; 324-349) (131-163; 234-323; 395-402) 1914 171 1 19hca 292 2 (45-107) (1-44; 108-292) 1a02f 53 1 1a02j 52 1 1a02n 280 2 (399-569) (570-678) 1a04a 205 2 (5-126) (127-216) 1a0aa 63 1 1a0ca 437 1 1a0fa 201 2 (1-81) (82-201) 1a0ha 159 1 1a0i 332 2 (2-239) (240-349)

343

Representative element modeling of fracture systems based on stochastic analysis  

DOE Green Energy (OSTI)

An important task associated with reservoir simulation is the development of a technique to model a large number of fractures with a single description. Representative elements must be developed before reservoir scale simulations can adequately address the effects of intersecting fracture systems on fluid migration. An effective element model will sharply reduce the cost and complexity of large scale simulations to bring these to manageable levels. Stochastic analysis is a powerful tool which can determine the hydraulic and transport characteristics of intersecting sets of statistically defined fractures. Hydraulic and transport characteristics are required to develop representative elements. Given an assumption of fully developed laminar flow, the net fracture conductivities and hence flow velocities can be determined from descriptive statistics of fracture spacing, orientation, aperture, and extent. The distribution of physical characteristics about their mean leads to a distribution of the associated conductivities. The variance of hydraulic conductivity induces dispersion into the transport process. The simplest of fracture systems, a single set of parallel fractures, is treated to demonstrate the usefulness of stochastic analysis. Explicit equations for conductivity of an element are developed and the dispersion characteristics are shown. The analysis reveals the dependence of the representative element properties on the various parameters used to describe the fracture system. 10 refs., 3 figs.

Clemo, T.M.

1986-01-01T23:59:59.000Z

344

Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel  

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

5: April 28, 5: April 28, 2003 State Average Fuel Prices to someone by E-mail Share Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Facebook Tweet about Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Twitter Bookmark Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Google Bookmark Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Delicious Rank Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on Digg Find More places to share Vehicle Technologies Office: Fact #265: April 28, 2003 State Average Fuel Prices on AddThis.com... Fact #265: April 28, 2003 State Average Fuel Prices The American Automobile Association tracks gasoline and diesel prices

345

The U.S. average retail price for on-highway diesel fuel rose...  

Gasoline and Diesel Fuel Update (EIA)

The U.S. average retail price for on-highway diesel fuel rose this week The U.S. average retail price for on-highway diesel fuel rose slightly to 3.90 a gallon on Monday. That's...

346

Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds  

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

1: April 18, 1: April 18, 2011 Average Truck Speeds to someone by E-mail Share Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Facebook Tweet about Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Twitter Bookmark Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Google Bookmark Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Delicious Rank Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on Digg Find More places to share Vehicle Technologies Office: Fact #671: April 18, 2011 Average Truck Speeds on AddThis.com... Fact #671: April 18, 2011 Average Truck Speeds The Federal Highway Administration studies traffic volume and flow on major

347

What is the average heat content of U.S. coal? - FAQ - U.S ...  

U.S. Energy Information Administration (EIA)

What is the average heat content of U.S. coal? In 2012, the average heat content of coal produced in the United States was about 20.14 million ...

348

KOLMOGOROV THEORY VIA FINITE-TIME AVERAGES C. FOIAS1,2  

E-Print Network (OSTI)

]) or through a mathematically esoteric notion of generalized limit (see e.g. [2, 17]). In any Date: October 3-time averages without resorting to any esoteric relation with ensemble av- erages. Finite-time averages have

Rosa, Ricardo M. S.

349

From Short-Scale Atmospheric Variability to Global Climate Dynamics: Toward a Systematic Theory of Averaging  

Science Conference Proceedings (OSTI)

Traditionally, climate is defined by the properties of the averages of the meteorological fields over an appropriate time interval. In this paper the properties of the time-averaged observables of a red noise atmosphere and of a simplified model ...

C. Nicolis; G. Nicolis

1995-06-01T23:59:59.000Z

350

2012 Brief: Average 2012 crude oil prices remain near 2011 levels ...  

U.S. Energy Information Administration (EIA)

Average crude oil prices in 2012 were at historically high levels for the second year in a row. Brent crude oil averaged $111.67 per barrel, slightly above the 2011 ...

351

Leffler's Method of Estimating Average Temperatures of Appalachian Summits: Evaluation in New York  

Science Conference Proceedings (OSTI)

R. J. Leffler recently presented regression equations to estimate average monthly temperatures of Appalachian summits based on the long-term average temperatures on Mt. Washington, New Hampshire, and temperature lapse rates as a function of ...

Thomas W. Schmidlin

1982-05-01T23:59:59.000Z

352

Average Predictability Time. Part II: Seamless Diagnoses of Predictability on Multiple Time Scales  

Science Conference Proceedings (OSTI)

This paper proposes a new method for diagnosing predictability on multiple time scales without time averaging. The method finds components that maximize the average predictability time (APT) of a system, where APT is defined as the integral of ...

Timothy DelSole; Michael K. Tippett

2009-05-01T23:59:59.000Z

353

What was the highest U.S. average retail price of regular ...  

U.S. Energy Information Administration (EIA)

What was the highest U.S. average retail price of regular gasoline? According to EIAs weekly survey, the U.S. average retail price of regular ...

354

Smart Interpolation of Annually Averaged Air Temperature in the United States  

Science Conference Proceedings (OSTI)

Two smart interpolation procedures are presented and assessed with respect to their ability to estimate annual-average air temperatures at unsampled points in space from available station averages. Smart approaches examined here improve upon ...

Cort J. Willmott; Kenji Matsuura

1995-12-01T23:59:59.000Z

355

Facility Representative Program: Criteria Review and Approach Document  

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

Assessment Tools Assessment Tools Surveillance Guides Manager's Guide for Safety and Health Walkthroughs Criteria Review and Approach Document This page provides Criteria Review and Approach Documents (CRADS) to assist Facility Representatives. Please submit your CRADS for posting by sending them to the HQ FR Program Manager. Please include the subject, date, and a contact person. Communications NASA Benchmarks Communications Assessment Plan Configuration Management Configuration Management Assessment Plan Confined Space Confined Spaces Assessment Plan Conduct of Operations Conduct of Operations Assessment Plan Electrical Assessment Electrical Safety Assessment Plan Facility Procedures Verification and Validation of Facility Procedures Assessment Plan Hoisting and Rigging

356

Consumption Externalities: A Representative Consumer Model when Agents are Heterogeneous *  

E-Print Network (OSTI)

Abstract: We examine a growth model with consumption externalities where agents differ in their initial capital endowment and their reference group. We show under which conditions the aggregate equilibrium with heterogeneous agents replicates that obtained with a representative consumer, despite the fact that different individuals have different consumption levels. Next we consider the implications of the presence of consumption externalities for the long-run distributions of income and wealth. We find that, in a growing economy, keeping up with the Joneses results in less inequality than would prevail in an economy with no consumption externalities.

Cecilia Garca-pealosa; Stephen J. Turnovsky

2007-01-01T23:59:59.000Z

357

M.: An Ontology-Based Framework for Representing Organizational Knowledge  

E-Print Network (OSTI)

Abstract: This paper describes an ontology-based organizational knowledge representation framework focused on the specification of a two kinds of ontologies: the top level ontology containing concepts characterizing the typical organizational background and COKE ontologies representing so called core organizational knowledge entities. The framework constitutes an abstract representation of organizational knowledge providing a semantic support for designing knowledge management infrastructure able to interoperate with systems already existing in an organization. Moreover, the annotation of COKE w.r.t. the top level ontology allowed by the framework facilitates their semi-automatic handling, retrieval and evolution monitoring.

Andrea Gualtieri; Massimo Ruffolo

2005-01-01T23:59:59.000Z

358

Table US14. Average Consumption by Energy End Uses, 2005 Million ...  

U.S. Energy Information Administration (EIA)

a climate zone according to the 30-year average annual degree-days for an appropriate nearby weather station.

359

4Q CY2008, Facility Representative Program Performance Indicators  

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

Http//www.hss.energy.gov/deprep/facrep/ Http//www.hss.energy.gov/deprep/facrep/ ENVIRONMENTAL MANAGEMENT SITES Facility Representative Program Performance Indicators (4QCY2008) Field or Ops Office Staffing Analysis FTEs Actual Staffing % Staffing Attrition % Core Qualified % Fully Qualified % Field Time * % Oversight Time ** CBFO 1 3 1 100 1 100 100 70 86 ID (EM) 13 12 11 85 0 82 82 43 84 OR (EM) 19 18 18 95 0 72 72 44 66 ORP 15 15 14 93 0 79 64 43 72 PPPO 6 5 5 83 0 80 80 44 70 RL 19 18 18 95 1 84 84 45 70 SPRU 1 1 1 100 0 100 0 30 80 SR 32 24 24 75 2 71 67 45 74 WVDP 2 2 2 100 0 50 50 42 70 EM Totals 108 98 94 87 4 77 72 44 72 DOE GOALS - - - 100 - - >80 >40 >65 * % Field Time is defined as the number of hours spent in the plant/field divided by the number of available work hours in the quarter. The number of available work hours is the actual number of hours a Facility Representative works in a calendar quarter, including overtime hours. It does not include

360

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

6 Average Square Footage of Mobile Homes, by Housing Characteristics, 2009" 6 Average Square Footage of Mobile Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Mobile Homes",6.9,1087,985,746,413,375,283 "Census Region" "Northeast",0.5,1030,968,711,524,492,362 "Midwest",1.1,1090,1069,595,400,392,218 "South",3.9,1128,1008,894,423,378,335 "West",1.4,995,867,466,369,322,173 "Urban and Rural3" "Urban",3.5,1002,919,684,396,364,271

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

9 Average Square Footage of U.S. Homes, by Housing Characteristics, 2009" 9 Average Square Footage of U.S. Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total",113.6,1971,1644,1230,766,639,478 "Census Region" "Northeast",20.8,2121,1663,921,836,656,363 "Midwest",25.9,2272,1898,1372,912,762,551 "South",42.1,1867,1637,1549,732,642,607 "West",24.8,1708,1374,800,628,506,294 "Urban and Rural3" "Urban",88.1,1857,1546,1148,728,607,450

362

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

2 Average Square Footage of South Homes, by Housing Characteristics, 2009" 2 Average Square Footage of South Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total South",42.1,1867,1637,1549,732,642,607 "South Divisions and States" "South Atlantic",22.2,1944,1687,1596,771,668,633 "Virginia",3,2227,1977,1802,855,759,692 "Georgia",3.5,2304,1983,1906,855,736,707 "Florida",7,1668,1432,1509,690,593,625 "DC, DE, MD, WV",3.4,2218,1831,1440,864,713,561

363

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

4 Average Square Footage of Single-Family Homes, by Housing Characteristics, 2009" 4 Average Square Footage of Single-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Single-Family",78.6,2422,2002,1522,880,727,553 "Census Region" "Northeast",12.7,2843,2150,1237,1009,763,439 "Midwest",19.2,2721,2249,1664,1019,842,624 "South",29.7,2232,1945,1843,828,722,684 "West",16.9,2100,1712,1009,725,591,348 "Urban and Rural3"

364

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

0 Average Square Footage of Northeast Homes, by Housing Characteristics, 2009" 0 Average Square Footage of Northeast Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Northeast",20.8,2121,1663,921,836,656,363 "Northeast Divisions and States" "New England",5.5,2232,1680,625,903,680,253 "Massachusetts",2.5,2076,1556,676,850,637,277 "CT, ME, NH, RI, VT",3,2360,1781,583,946,714,234 "Mid-Atlantic",15.3,2080,1657,1028,813,647,402

365

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

5 Average Square Footage of Multi-Family Homes, by Housing Characteristics, 2009" 5 Average Square Footage of Multi-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Multi-Family",28.1,930,807,535,453,393,261 "Census Region" "Northeast",7.6,991,897,408,471,426,194 "Midwest",5.6,957,857,518,521,466,282 "South",8.4,924,846,819,462,423,410 "West",6.5,843,606,329,374,269,146 "Urban and Rural3" "Urban",26.9,927,803,531,450,390,258

366

Vehicle Technologies Office: Fact #622: May 10, 2010 Average Length of  

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

2: May 10, 2010 2: May 10, 2010 Average Length of Light Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #622: May 10, 2010 Average Length of Light Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #622: May 10, 2010 Average Length of Light Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #622: May 10, 2010 Average Length of Light Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #622: May 10, 2010 Average Length of Light Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #622: May 10, 2010 Average Length of Light Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #622: May 10, 2010 Average Length of Light Vehicle Ownership on AddThis.com...

367

Vehicle Technologies Office: Fact #520: May 26, 2008 Average Price of a New  

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

0: May 26, 2008 0: May 26, 2008 Average Price of a New Car, 1970-2006 to someone by E-mail Share Vehicle Technologies Office: Fact #520: May 26, 2008 Average Price of a New Car, 1970-2006 on Facebook Tweet about Vehicle Technologies Office: Fact #520: May 26, 2008 Average Price of a New Car, 1970-2006 on Twitter Bookmark Vehicle Technologies Office: Fact #520: May 26, 2008 Average Price of a New Car, 1970-2006 on Google Bookmark Vehicle Technologies Office: Fact #520: May 26, 2008 Average Price of a New Car, 1970-2006 on Delicious Rank Vehicle Technologies Office: Fact #520: May 26, 2008 Average Price of a New Car, 1970-2006 on Digg Find More places to share Vehicle Technologies Office: Fact #520: May 26, 2008 Average Price of a New Car, 1970-2006 on AddThis.com... Fact #520: May 26, 2008

368

Vehicle Technologies Office: Fact #219: June 3, 2002 Average Price of a New  

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

9: June 3, 2002 9: June 3, 2002 Average Price of a New Car: 1970-2001 to someone by E-mail Share Vehicle Technologies Office: Fact #219: June 3, 2002 Average Price of a New Car: 1970-2001 on Facebook Tweet about Vehicle Technologies Office: Fact #219: June 3, 2002 Average Price of a New Car: 1970-2001 on Twitter Bookmark Vehicle Technologies Office: Fact #219: June 3, 2002 Average Price of a New Car: 1970-2001 on Google Bookmark Vehicle Technologies Office: Fact #219: June 3, 2002 Average Price of a New Car: 1970-2001 on Delicious Rank Vehicle Technologies Office: Fact #219: June 3, 2002 Average Price of a New Car: 1970-2001 on Digg Find More places to share Vehicle Technologies Office: Fact #219: June 3, 2002 Average Price of a New Car: 1970-2001 on AddThis.com... Fact #219: June 3, 2002

369

Vehicle Technologies Office: Fact #312: March 22, 2004 State Average Fuel  

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

2: March 22, 2: March 22, 2004 State Average Fuel Prices, 2003 vs. 2004 to someone by E-mail Share Vehicle Technologies Office: Fact #312: March 22, 2004 State Average Fuel Prices, 2003 vs. 2004 on Facebook Tweet about Vehicle Technologies Office: Fact #312: March 22, 2004 State Average Fuel Prices, 2003 vs. 2004 on Twitter Bookmark Vehicle Technologies Office: Fact #312: March 22, 2004 State Average Fuel Prices, 2003 vs. 2004 on Google Bookmark Vehicle Technologies Office: Fact #312: March 22, 2004 State Average Fuel Prices, 2003 vs. 2004 on Delicious Rank Vehicle Technologies Office: Fact #312: March 22, 2004 State Average Fuel Prices, 2003 vs. 2004 on Digg Find More places to share Vehicle Technologies Office: Fact #312: March 22, 2004 State Average Fuel Prices, 2003 vs. 2004 on AddThis.com...

370

Vehicle Technologies Office: Fact #728: May 21, 2012 Average Trip Length is  

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

8: May 21, 2012 8: May 21, 2012 Average Trip Length is Less Than Ten Miles to someone by E-mail Share Vehicle Technologies Office: Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles on Facebook Tweet about Vehicle Technologies Office: Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles on Twitter Bookmark Vehicle Technologies Office: Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles on Google Bookmark Vehicle Technologies Office: Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles on Delicious Rank Vehicle Technologies Office: Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles on Digg Find More places to share Vehicle Technologies Office: Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles on AddThis.com...

371

2Q CY2004, Facility Representative Program Performance Indicators  

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

Attachment Attachment Facility Representative Program Performance Indicators Quarterly Report September 20, 2004 Distribution: Kyle McSlarrow, S-2 Bruce Carnes, S-2 Les Novitsky, S-2 David Garman, S-3 Linton Brooks, NA-1 Tyler Przybylek, NA-1 Everet Beckner, NA-10 James Mangeno, NA-3.6 Glenn Podonsky, SP-1 Mike Kilpatrick, OA-1 Patricia Worthington, OA-40 Paul Golan, EM-1 Inés Triay, EM-3 Patty Bubar, EM-3.2 Raymond Orbach, SC-1 Milt Johnson, SC-3 William Magwood, NE-1 Manager, Ames Site Office Manager, Argonne Site Office Manager, Brookhaven Site Office Manager, Carlsbad Field Office Manager, Fermi Site Office Manager, Idaho Operations Office Manager, Livermore Site Office Manager, Los Alamos Site Office Manager, Nevada Site Office Manager, Oak Ridge Operations Office Manager, Office of River Protection

372

1Q CY2010, Facility Representative Program Performance Indicators  

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

Http: Http: OFFICE OF ENVIRONMENTAL MANAGEMENT (EM) Facility Representative Program Performance Indicators (1QCY2010) Field or Ops Office Staffing Analysis FTEs Actual Staffing % Staffing Attrition % Core Qualified % Fully Qualified % Field Time * % Oversight Time ** CBFO 3 3 3 100 0 100 33 50 78 ID (EM) 13 13 12 92 0 100 100 50 91 OR (EM) 18 17 18 100 0 100 81 45 67 ORP 15 15 14 93 1 93 80 51 81 PPPO 6 6 6 100 0 100 100 43 68 RL 19 19 19 100 0 95 95 43 69 SPRU 1 1 1 100 0 100 0 50 75 SR 32 29 29 91 1 69 69 43 76 WVDP 2 2 2 100 0 50 50 37 60 EM Totals 109 105 104 95 2 89 81 45 75 DOE GOALS - - - 100 - - >80 >40 >65 * Field or Ops Office Key:

373

DOE-STD-1063-2000 - Facility Representatives  

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

NOT MEASUREMENT NOT MEASUREMENT SENSITIVE DOE-STD-1063-2000 March 2000 Superseding DOE-STD-1063-97 October 1997 DOE STANDARD FACILITY REPRESENTATIVES U.S. Department of Energy AREA MGMT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. TS This document has been reproduced from the best available copy. Available to DOE and DOE contractors from ES&H Technical Information Services, U.S. Department of Energy, (800) 473-4375, fax: (301) 903-9823. Available to the public from the U.S. Department of Commerce, Technology Administration, National Technical Information Service, Springfield, VA 22161; (703) 605-6000. DOE-STD-1063-2000 iii FOREWORD 1. This Department of Energy standard is approved for use by all DOE Components. 2. The Revision to this DOE standard was developed by a working group consisting of

374

SIGNATURE O F AGENCY REPRESENTATIVE NATIONAL ENERGY STRATEGY  

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

MINOR SUBDIVISION MINOR SUBDIVISION Jeff Martus 01-903-3481 SIGNATURE O F AGENCY REPRESENTATIVE NATIONAL ENERGY STRATEGY See attached. National Energy Strategy The Department of Energy (DOE) was directed by President Bush on July 26, 1989 to begin the development of a comprehensive National Energy Strategy (NES). Published in February 1991, the NES provides the foundation for a more efficient, less vulnerable, and environmentally sustainable energy future. The NES defines international, commercial, regulatory, and technological policy tools that diversify U.S. resources of energy supplies and offers more flexibility and efficiency in the way energy is transformed and used. This proposed schedule provides for the disposition of records that have been created or received by DOE in connection with the

375

3Q CY2007, Facility Representative Program Performance Indicators  

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

ENVIRONMENTAL MANAGEMENT SITES ENVIRONMENTAL MANAGEMENT SITES Facility Representative Program Performance Indicators (3QCY2007) Field or Ops Office Staffing Analysis FTEs Actual Staffing % Staffing Attrition % Core Qualified % Fully Qualified % Field Time * % Oversight Time ** CBFO 1 2 2 200 0 100 50 66 86 ID (ICP) 13 12 11 85 1 100 100 40 65 OR (EM) 19 17 16 84 0 94 88 47 71 ORP 14 14 14 100 0 100 93 46 74 PPPO 4 4 4 100 0 100 100 42 75 RL 19 19 19 100 0 100 95 73 69 SR 31 31 25 81 2 88 80 40 79 WVDP 2 2 2 100 0 100 100 43 65 EM Totals 103 101 93 90 3 96 89 50 73 DOE GOALS - - - 100 - - >80 >40 >65 * % Field Time is defined as the number of hours spent in the plant/field divided by the number of available work hours in the quarter. The number of

376

Facility Representative Program Assessment Criteria, Review, and Approach Document (CRAD)  

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

STD-1063-2011 STD-1063-2011 Appendix B B-1 FACILITY REPRESENTATIVE PROGRAM ASSESSMENT GUIDE The DOE has implemented its FR Program, and is looking to continuously improve the program's effectiveness DOE-wide. An effective FR Program has many elements, as described in this Standard. These elements are intended to yield a program that provides DOE facilities with well-trained FRs who spend appropriate amounts of time in their facilities and can work effectively with their contractor management counterparts. The program, to be effective, needs the functional support of management. To maintain the continued support of DOE management, the FR program needs to demonstrate its continued performance and effectiveness, which is to be assessed periodically using

377

A BRIEF REVIEW OF MODELS REPRESENTING CREEP OF ALLOY 617  

SciTech Connect

Alloy 617 is being considered for the construction of components to operate in the Next Generation Nuclear Plant (NGNP). Service temperatures will range from 650 to 1000 C. To meet the needs of the conceptual designers of this plant, a materials handbook is being developed that will provide information on alloy 617, as well as other materials of interest. The database for alloy 617 to be incorporated into the handbook was produced in the 1970s and 1980s, while creep and damage models were developed from the database for use in the design of high-temperature gas-cooled reactors. In the work reported here, the US database and creep models are briefly reviewed. The work reported represents progress toward a useful model of the behavior of this material in the temperature range of 650 to 1000 C.

Swindeman, Robert W [ORNL; Swindeman, Michael [University of Dayton Research Institute; Ren, Weiju [ORNL

2005-01-01T23:59:59.000Z

378

Simulating a Nationally Representative Housing Sample Using EnergyPlus  

SciTech Connect

This report presents a new simulation tool under development at Lawrence Berkeley National Laboratory (LBNL). This tool uses EnergyPlus to simulate each single-family home in the Residential Energy Consumption Survey (RECS), and generates a calibrated, nationally representative set of simulated homes whose energy use is statistically indistinguishable from the energy use of the single-family homes in the RECS sample. This research builds upon earlier work by Ritchard et al. for the Gas Research Institute and Huang et al. for LBNL. A representative national sample allows us to evaluate the variance in energy use between individual homes, regions, or other subsamples; using this tool, we can also evaluate how that variance affects the impacts of potential policies. The RECS contains information regarding the construction and location of each sampled home, as well as its appliances and other energy-using equipment. We combined this data with the home simulation prototypes developed by Huang et al. to simulate homes that match the RECS sample wherever possible. Where data was not available, we used distributions, calibrated using the RECS energy use data. Each home was assigned a best-fit location for the purposes of weather and some construction characteristics. RECS provides some detail on the type and age of heating, ventilation, and air-conditioning (HVAC) equipment in each home; we developed EnergyPlus models capable of reproducing the variety of technologies and efficiencies represented in the national sample. This includes electric, gas, and oil furnaces, central and window air conditioners, central heat pumps, and baseboard heaters. We also developed a model of duct system performance, based on in-home measurements, and integrated this with fan performance to capture the energy use of single- and variable-speed furnace fans, as well as the interaction of duct and fan performance with the efficiency of heating and cooling equipment. Comparison with RECS revealed that EnergyPlus did not capture the heating-side behavior of heat pumps particularly accurately, and that our simple oil furnace and boiler models needed significant recalibration to fit with RECS. Simulating the full RECS sample on a single computer would take many hours, so we used the 'cloud computing' services provided by Amazon.com to simulate dozens of homes at once. This enabled us to simulate the full RECS sample, including multiple versions of each home to evaluate the impact of marginal changes, in less than 3 hours. Once the tool was calibrated, we were able to address several policy questions. We made a simple measurement of the heat replacement effect and showed that the net effect of heat replacement on primary energy use is likely to be less than 5%, relative to appliance-only measures of energy savings. Fuel switching could be significant, however. We also evaluated the national and regional impacts of a variety of 'overnight' changes in building characteristics or occupant behavior, including lighting, home insulation and sealing, HVAC system efficiency, and thermostat settings. For example, our model shows that the combination of increased home insulation and better sealed building shells could reduce residential natural gas use by 34.5% and electricity use by 6.5%, and a 1 degree rise in summer thermostat settings could save 2.1% of home electricity use. These results vary by region, and we present results for each U.S. Census division. We conclude by offering proposals for future work to improve the tool. Some proposed future work includes: comparing the simulated energy use data with the monthly RECS bill data; better capturing the variation in behavior between households, especially as it relates to occupancy and schedules; improving the characterization of recent construction and its regional variation; and extending the general framework of this simulation tool to capture multifamily housing units, such as apartment buildings.

Hopkins, Asa S.; Lekov, Alex; Lutz, James; Rosenquist, Gregory; Gu, Lixing

2011-03-04T23:59:59.000Z

379

2Q CY2009, Facility Representative Program Performance Indicators  

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

Http//www.hss.energy.gov/deprep/facrep/ Http//www.hss.energy.gov/deprep/facrep/ OFFICE OF ENVIRONMENTAL MANAGEMENT Facility Representative Program Performance Indicators (2QCY2009) Field or Ops Office * Staffing Analysis FTEs Actual Staffing % Staffing Attrition % Core Qualified % Fully Qualified % Field Time ** % Oversight Time *** CBFO 3 3 2 67 0 50 50 46 76 ID 13 13 11 85 0 100 100 49 90 OR 19 18 17 89 1 71 71 42 57 ORP 15 15 15 100 0 73 73 53 77 PPPO 6 6 6 100 0 67 67 42 70 RL 19 19 19 100 0 84 84 45 69 SR 32 28 28 88 0 64 64 47 73 WVDP 2 2 2 100 0 50 50 37 70 EM Totals 109 104 100 92 1 74 74 46 72 DOE GOALS - - - 100 - - >80 >40 >65 * Field or Ops Office Key CBFO = Carlsbad Field Office; ID = Idaho Operations Office; OR = Oak Ridge Office; ORP = Office of River Protection; PPPO = Portsmouth/Paducah

380

Greening the U.S. House of Representatives  

Science Conference Proceedings (OSTI)

The Greening the Capitol initiative was launched in March, 2007 with the threefold goals of making the U.S. House of Representatives: 1) carbon neutral within 18 months, 2) reducing energy use by 50percent in ten years, and 3) becoming a model of sustainable operations. We report on the recommendations to meet these goals, looking at the targets of opportunity at the Capitol Power Plant, the existing buildings, and the overall operations of the complex. Our findings have shown that these goals are achievable, and that through an integrated approach the savings in carbon and energy can be met. Specific examples include the lighting retrofits in the House offices, parking areas, and the Capitol dome; the retrofits to the HVAC systems and controls, including duct sealing, improving the efficiency of the energy and water use in the food service areas; and improved operations of the steam and chilled water distribution system. A key aspect has been better tracking and feedback to the building operators of the actual energy consumption. We report on the technical opportunities presented by these historic and symbolic buildings in becoming models of sustainability.

Diamond, Rick; Diamond, Rick; Payne, Christopher

2008-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Exclusivity structures and graph representatives of local complementation orbits  

E-Print Network (OSTI)

We describe a construction that maps any connected graph G on three or more vertices into a larger graph, H(G), whose independence number is strictly smaller than its Lov\\'asz number which is equal to its fractional packing number. The vertices of H(G) represent all possible events consistent with the stabilizer group of the graph state associated with G, and exclusive events are adjacent. Mathematically, the graph H(G) corresponds to the orbit of G under local complementation. Physically, the construction translates into graph-theoretic terms the connection between a graph state and a Bell inequality maximally violated by quantum mechanics. In the context of zero-error information theory, the construction suggests a protocol achieving the maximum rate of entanglement-assisted capacity, a quantum mechanical analogue of the Shannon capacity, for each H(G). The violation of the Bell inequality is expressed by the one-shot version of this capacity being strictly larger than the independence number. Finally, given the correspondence between graphs and exclusivity structures, we are able to compute the independence number for certain infinite families of graphs with the use of quantum non-locality, therefore highlighting an application of quantum theory in the proof of a purely combinatorial statement.

Adan Cabello; Matthew G. Parker; Giannicola Scarpa; Simone Severini

2012-11-18T23:59:59.000Z

382

Vehicle Technologies Office: Fact #803: November 11, 2013 Average Number of  

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

3: November 11, 3: November 11, 2013 Average Number of Transmission Gears is on the Rise to someone by E-mail Share Vehicle Technologies Office: Fact #803: November 11, 2013 Average Number of Transmission Gears is on the Rise on Facebook Tweet about Vehicle Technologies Office: Fact #803: November 11, 2013 Average Number of Transmission Gears is on the Rise on Twitter Bookmark Vehicle Technologies Office: Fact #803: November 11, 2013 Average Number of Transmission Gears is on the Rise on Google Bookmark Vehicle Technologies Office: Fact #803: November 11, 2013 Average Number of Transmission Gears is on the Rise on Delicious Rank Vehicle Technologies Office: Fact #803: November 11, 2013 Average Number of Transmission Gears is on the Rise on Digg Find More places to share Vehicle Technologies Office: Fact #803:

383

Table AC6. Average Consumption for Air-Conditioning by Equipment ...  

U.S. Energy Information Administration (EIA)

Central System 5 Table AC6. Average Consumption for Air-Conditioning by Equipment Type, 2005 Million British Thermal Units (Btu) per Household

384

Table AC7. Average Expenditures for Air-Conditioning by Equipment ...  

U.S. Energy Information Administration (EIA)

Central System 5 Table AC7. Average Expenditures for Air-Conditioning by Equipment Type, 2005 Dollars per Household Type of Air-Conditioning Equipment

385

Table SH9. Average Expenditures for Space Heating by Main Space ...  

U.S. Energy Information Administration (EIA)

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

386

Table AC9. Average Cooled Floorspace by Equipment Type, 2005 Air ...  

U.S. Energy Information Administration (EIA)

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

387

U.S. summer gasoline price to average 6 cents lower than last...  

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

Administration. That's 6 cents less than last summer's average pump price. Cheaper motor fuel reflects lower crude oil prices, which account for about 65 percent of what...

388

Table 35. Average Price of Natural Gas Delivered to U.S ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration / Historical Natural Gas Annual 1930 Through 2000 353 35. Average Price of Natural Gas Delivered to U.S. Electric ...

389

Averages of B-Hadron Properties at the End of 2005  

SciTech Connect

This article reports world averages for measurements on b-hadron properties obtained by the Heavy Flavor Averaging Group (HFAG) using the available results as of at the end of 2005. In the averaging, the input parameters used in the various analyses are adjusted (rescaled) to common values, and all known correlations are taken into account. The averages include lifetimes, neutral meson mixing parameters, parameters of semileptonic decays, branching fractions of B decays to final states with open charm, charmonium and no charm, and measurements related to CP asymmetries.

Barberio, E.; /Melbourne U.; Bizjak, I.; /Novosibirsk, IYF; Blyth, S.; /CERN; Cavoto, G.; /Rome U.; Chang, P.; /Taiwan, Natl. Taiwan U.; Dingfelder, J.; /SLAC; Eidelman, S.; /Novosibirsk, IYF; Gershon, T.; /WARWICK U.; Godang, R.; /Mississippi U.; Harr, R.; /Wayne State U.; Hocker, A; /CERN; Iijima, T.; /Nagoya U.; Kowalewski, R.; /Victoria U.; Lehner, F.; /Fermilab; Limosani, A.; /Novosibirsk, IYF; Lin, C.-J.; /Fermilab; Long, O.; /UC, Riverside; Luth, V.; /SLAC; Morii, M.; /Harvard U.; Prell, S.; /Iowa State U.; Schneider, O.; /LPHE, Lausanne /Colorado U. /Orsay, LAL /Genoa U. /Hawaii U. /Indiana U. /Rome U. /Karlsruhe U.

2006-09-27T23:59:59.000Z

390

New York Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

391

Table AP5. Average Consumption for Home Appliances and Lighting by ...  

U.S. Energy Information Administration (EIA)

Table AP5. Average Consumption for Home Appliances and Lighting by Fuels Used, 2005 Physical Units per Household U.S. Households (millions) Fuels Used

392

Figure 10. U.S. Average Retail Regular Motor Gasoline and ...  

U.S. Energy Information Administration (EIA)

U.S. Average Retail Regular Motor Gasoline and On-Highway Diesel Fuel Prices, January 2013 to Present ... Including Taxes) Title: Weekly Petroleum ...

393

Table AP6. Average Consumption for Home Appliances and Lighting by ...  

U.S. Energy Information Administration (EIA)

Natural Gas LPG Total Refrigerators Other Appliances and Lighting Table AP6. Average Consumption for Home Appliances and Lighting by Fuels Used, 2005

394

Solar: annual average direct normal (DNI) GIS data at 10km resolution...  

Open Energy Info (EERE)

visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam...

395

Solar: monthly and annual average latitude tilt GIS data at 40km...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

396

The U.S. average retail price for on-highway diesel fuel rose...  

Annual Energy Outlook 2012 (EIA)

The U.S. average retail price for on-highway diesel fuel rose this week The U.S. average retail price for on-highway diesel fuel rose to 3.93 a gallon on Monday. That's up 2 ...

397

"Table A49. Average Prices of Purchased Electricity, Steam, and Natural Gas"  

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

9. Average Prices of Purchased Electricity, Steam, and Natural Gas" 9. Average Prices of Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam",," Natural Gas" ," (Million kWh)",," (Billion Btu)",," (1000 cu ft)" ,"-","-----------","-","-----------","-","-","-","RSE" " ","Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

398

MARD-A moving average rose diagram application for the geosciences  

Science Conference Proceedings (OSTI)

MARD 1.0 is a computer program for generating smoothed rose diagrams by using a moving average, which is designed for use across the wide range of disciplines encompassed within the Earth Sciences. Available in MATLAB^(R), Microsoft^(R) Excel and GNU ... Keywords: Circular statistics, MATLAB, Microsoft Excel, Moving average, Rose diagram, Vector mean

Mark A. Munro; Thomas G. Blenkinsop

2012-12-01T23:59:59.000Z

399

The Tidally Averaged Momentum Balance in a Partially and Periodically Stratified Estuary  

Science Conference Proceedings (OSTI)

Observations of turbulent stresses and mean velocities over an entire springneap cycle are used to evaluate the dynamics of tidally averaged flows in a partially stratified estuarine channel. In a depth-averaged sense, the net flow in this ...

Mark T. Stacey; Matthew L. Brennan; Jon R. Burau; Stephen G. Monismith

2010-11-01T23:59:59.000Z

400

Comparing Bayes model averaging and stacking when model approximation error cannot be ignored  

Science Conference Proceedings (OSTI)

We compare Bayes Model Averaging, BMA, to a non-Bayes form of model averaging called stacking. In stacking, the weights are no longer posterior probabilities of models; they are obtained by a technique based on cross-validation. When the correct data ...

Bertrand Clarke

2003-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

A Technique to Reduce Peak Current and Average Power Dissipation in Scan Designs by Limited Capture  

Science Conference Proceedings (OSTI)

In this paper, a technique that can efficiently reduce peak and average switching activity during test application is proposed. The proposed method does not require any specific clock tree construction, special scan cells, or scan chain reordering. Test ... Keywords: ATPG, peak current reduction, average power dissipation, scan designs, clock tree construction, special scan cells, scan chain reordering

Seongmoon Wang; Wenlong Wei

2007-01-01T23:59:59.000Z

402

Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs)  

Science Conference Proceedings (OSTI)

Autoregressive integrated moving average (ARIMA) models are one of the most important time series models applied in financial market forecasting over the past three decades. Improving forecasting especially time series forecasting accuracy is an important ... Keywords: Autoregressive integrated moving average (ARIMA), Hybrid models, Probabilistic neural networks (PNNs), Time series forecasting

Mehdi Khashei; Mehdi Bijari; Gholam Ali Raissi Ardali

2012-08-01T23:59:59.000Z

403

Bayesian decision tree averaging for the probabilistic interpretation of solar flare occurrences  

Science Conference Proceedings (OSTI)

Bayesian averaging over Decision Trees (DTs) allows the class posterior probabilities to be estimated, while the DT models are understandable for domain experts. The use of Markov Chain Monte Carlo (MCMC) technique of stochastic approximation makes the ... Keywords: Bayesian averaging, Markov Chain Monte Carlo, decision tre, machine learning, solar flare, uncertainty

Vitaly Schetinin; Valentina Zharkova; Sergei Zharkov

2006-10-01T23:59:59.000Z

404

Modeling uncertain variables of the weighted average operation by fuzzy vectors  

Science Conference Proceedings (OSTI)

The paper deals with the fuzzy extension of the weighted average operation. First, we study the convenient ways how uncertain weights and weighted values can be modeled by fuzzy vectors. We show that, in comparison to a tuple of fuzzy numbers that have ... Keywords: Fuzzy probabilities, Fuzzy vector, Fuzzy weighted average, Multiple criteria decision making, Normalized fuzzy weights, Separability of fuzzy vectors

Ond?Ej Pavla?Ka

2011-11-01T23:59:59.000Z

405

A Zonally Averaged, Coupled Ocean-Atmosphere Model for Paleoclimate Studies  

Science Conference Proceedings (OSTI)

A zonally averaged ocean model for the thermohaline circulation is coupled to a zonally averaged, one-layer energy balance model of the atmosphere to form a climate model for paleoclimate studies. The emphasis of the coupled model is on the ocean'...

Thomas F. Stocker; Lawrence A. Mysak; Daniel G. Wright

1992-08-01T23:59:59.000Z

406

Cylindrical model of transient heat conduction in automotive fuse using conservative averaging method  

Science Conference Proceedings (OSTI)

Cylindrical mathematical model of automotive fuse is considered in this paper. Initially, partial differential equations of the transient heat conduction are given to describe heat-up process in the fuse. Conservative averaging method is used to obtain ... Keywords: analytical approximation, automotive fuse, conservative averaging, heat transfer, quasi-linear, transient process

Raimonds Vilums; Hans-Dieter Liess; Andris Buikis; Andis Rudevics

2008-12-01T23:59:59.000Z

407

Early Clinical Outcomes Demonstrate Preserved Cognitive Function in Children With Average-Risk Medulloblastoma When Treated With Hyperfractionated Radiation Therapy  

SciTech Connect

Purpose: To report on acute toxicity, longitudinal cognitive function, and early clinical outcomes in children with average-risk medulloblastoma. Methods and Materials: Twenty children {>=}5 years of age classified as having average-risk medulloblastoma were accrued on a prospective protocol of hyperfractionated radiation therapy (HFRT) alone. Radiotherapy was delivered with two daily fractions (1 Gy/fraction, 6 to 8 hours apart, 5 days/week), initially to the neuraxis (36 Gy/36 fractions), followed by conformal tumor bed boost (32 Gy/32 fractions) for a total tumor bed dose of 68 Gy/68 fractions over 6 to 7 weeks. Cognitive function was prospectively assessed longitudinally (pretreatment and at specified posttreatment follow-up visits) with the Wechsler Intelligence Scale for Children to give verbal quotient, performance quotient, and full-scale intelligence quotient (FSIQ). Results: The median age of the study cohort was 8 years (range, 5-14 years), representing a slightly older cohort. Acute hematologic toxicity was mild and self-limiting. Eight (40%) children had subnormal intelligence (FSIQ <85), including 3 (15%) with mild mental retardation (FSIQ 56-70) even before radiotherapy. Cognitive functioning for all tested domains was preserved in children evaluable at 3 months, 1 year, and 2 years after completion of HFRT, with no significant decline over time. Age at diagnosis or baseline FSIQ did not have a significant impact on longitudinal cognitive function. At a median follow-up time of 33 months (range, 16-58 months), 3 patients had died (2 of relapse and 1 of accidental burns), resulting in 3-year relapse-free survival and overall survival of 83.5% and 83.2%, respectively. Conclusion: HFRT without upfront chemotherapy has an acceptable acute toxicity profile, without an unduly increased risk of relapse, with preserved cognitive functioning in children with average-risk medulloblastoma.

Gupta, Tejpal, E-mail: tejpalgupta@rediffmail.com [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India)] [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India); Jalali, Rakesh [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India)] [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India); Goswami, Savita [Department of Clinical Psychology and Psychiatry Unit, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India)] [Department of Clinical Psychology and Psychiatry Unit, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India); Nair, Vimoj [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India)] [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India); Moiyadi, Aliasgar [Division of Neuro-Surgery, Department of Surgical Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India)] [Division of Neuro-Surgery, Department of Surgical Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India); Epari, Sridhar [Department of Pathology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India)] [Department of Pathology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India); Sarin, Rajiv [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India)] [Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer and Tata Memorial Hospital, Mumbai (India)

2012-08-01T23:59:59.000Z

408

Examination of Hydrate Formation Methods: Trying to Create Representative Samples  

Science Conference Proceedings (OSTI)

Forming representative gas hydrate-bearing laboratory samples is important so that the properties of these materials may be measured, while controlling the composition and other variables. Natural samples are rare, and have often experienced pressure and temperature changes that may affect the property to be measured [Waite et al., 2008]. Forming methane hydrate samples in the laboratory has been done a number of ways, each having advantages and disadvantages. The ice-to-hydrate method [Stern et al., 1996], contacts melting ice with methane at the appropriate pressure to form hydrate. The hydrate can then be crushed and mixed with mineral grains under controlled conditions, and then compacted to create laboratory samples of methane hydrate in a mineral medium. The hydrate in these samples will be part of the load-bearing frame of the medium. In the excess gas method [Handa and Stupin, 1992], water is distributed throughout a mineral medium (e.g. packed moist sand, drained sand, moistened silica gel, other porous media) and the mixture is brought to hydrate-stable conditions (chilled and pressurized with gas), allowing hydrate to form. This method typically produces grain-cementing hydrate from pendular water in sand [Waite et al., 2004]. In the dissolved gas method [Tohidi et al., 2002], water with sufficient dissolved guest molecules is brought to hydrate-stable conditions where hydrate forms. In the laboratory, this is can be done by pre-dissolving the gas of interest in water and then introducing it to the sample under the appropriate conditions. With this method, it is easier to form hydrate from more soluble gases such as carbon dioxide. It is thought that this method more closely simulates the way most natural gas hydrate has formed. Laboratory implementation, however, is difficult, and sample formation is prohibitively time consuming [Minagawa et al., 2005; Spangenberg and Kulenkampff, 2005]. In another version of this technique, a specified quantity of gas is placed in a sample, then the sample is flooded with water and cooled [Priest et al., 2009]. We have performed a number of tests in which hydrate was formed and the uniformity of the hydrate formation was examined. These tests have primarily used a variety of modifications of the excess gas method to make the hydrate, although we have also used a version of the excess water technique. Early on, we found difficulties in creating uniform samples with a particular sand/ initial water saturation combination (F-110 Sand, {approx} 35% initial water saturation). In many of our tests we selected this combination intentionally to determine whether we could use a method to make the samples uniform. The following methods were examined: Excess gas, Freeze/thaw/form, Freeze/pressurize/thaw, Excess gas followed by water saturation, Excess water, Sand and kaolinite, Use of a nucleation enhancer (SnoMax), and Use of salt in the water. Below, each method, the underlying hypothesis, and our results are briefly presented, followed by a brief conclusion. Many of the hypotheses investigated are not our own, but were presented to us. Much of the data presented is from x-ray CT scanning our samples. The x-ray CT scanner provides a three-dimensional density map of our samples. From this map and the physics that is occurring in our samples, we are able to gain an understanding of the spatial nature of the processes that occur, and attribute them to the locations where they occur.

Kneafsey, T.J.; Rees, E.V.L.; Nakagawa, S.; Kwon, T.-H.

2011-04-01T23:59:59.000Z

409

Comparison of Average Transport and Dispersion Among a Gaussian Model, a Two-Dimensional Model and a Three-Dimensional Model  

Science Conference Proceedings (OSTI)

The Nuclear Regulatory Commission uses MACCS2 (MELCOR Accident Consequence Code System, Version 2) for regulatory purposes such as planning for emergencies and cost-benefit analyses. MACCS2 uses a straight-line Gaussian model for atmospheric transport and dispersion. This model has been criticized as being overly simplistic, although only expected values of metrics of interest are used in the regulatory arena. To test the assumption that averaging numerous weather results adequately compensates for the loss of structure in the meteorology that occurs away from the point of release, average MACCS2 results have been compared with average results from a state-of-the-art, 3-dimensional LODI (Lagrangian Operational Dispersion Integrator)/ADAPT (Atmospheric Data Assimilation and Parameterization Technique) and a Lagrangian trajectory, Gaussian puff transport and dispersion model from RASCAL (Radiological Assessment System for consequence Analysis). The weather sample included 610 weather trials representing conditions for a hypothetical release at the Central Facility of the Department of Energy's Atmospheric Radiation Measurement site. The values compared were average ground concentrations and average surface-level air concentrations at several distances out to 100 miles (160.9 km) from the assumed release site.

Mitchell, J A; Molenkamp, C R; Bixler, N E; Morrow, C W; Ramsdell, Jr., J V

2004-05-10T23:59:59.000Z

410

Improved performance of high average power semiconductor arrays for applications in diode pumped solid state lasers  

Science Conference Proceedings (OSTI)

The average power performance capability of semiconductor diode laser arrays has improved dramatically over the past several years. These performance improvements, combined with cost reductions pursued by LLNL and others in the fabrication and packaging of diode lasers, have continued to reduce the price per average watt of laser diode radiation. Presently, we are at the point where the manufacturers of commercial high average power solid state laser systems used in material processing applications can now seriously consider the replacement of their flashlamp pumps with laser diode pump sources. Additionally, a low cost technique developed and demonstrated at LLNL for optically conditioning the output radiation of diode laser arrays has enabled a new and scalable average power diode-end-pumping architecture that can be simply implemented in diode pumped solid state laser systems (DPSSL`s). This development allows the high average power DPSSL designer to look beyond the Nd ion for the first time. Along with high average power DPSSL`s which are appropriate for material processing applications, low and intermediate average power DPSSL`s are now realizable at low enough costs to be attractive for use in many medical, electronic, and lithographic applications.

Beach, R.; Emanuel, M.; Benett, W.; Freitas, B.; Ciarlo, D.; Carlson, N.; Sutton, S.; Skidmore, J.; Solarz, R.

1994-01-01T23:59:59.000Z

411

"Table HC1.2.3 Living Space Characteristics by Average Floorspace--"  

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

3 Living Space Characteristics by Average Floorspace--" 3 Living Space Characteristics by Average Floorspace--" " Single-Family Housing Units and Mobile Homes, 2005" ,,"Single- Family and Mobile Homes (millions)","Average Square Feet per Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Detached",,,"Single-Family Attached",,,"Mobile Homes" "Housing Unit Characteristics",,,"Total1","Heated","Cooled","Total1","Heated","Cooled","Total1","Heated","Cooled" "Total",111.1,86.6,2522,1970,1310,1812,1475,821,1055,944,554 "Total Floorspace (Square Feet)" "Fewer than 500",3.2,0.9,261,336,162,"Q","Q","Q",334,260,"Q"

412

Model Averaging in Risk Management with an Application to Futures Markets  

E-Print Network (OSTI)

symmetric matrix, a0 is an N(N +1)/2 1 vector, and A0, B0 are N(N +1)/2N(N +1)/2 matrices of unknown coefficients. It is evident that even such a low-order model already contains a large number of parameters even for moderate values of N which renders... averaging process and the differences in their forecast error variances can have important implications for the shape of the resulting average model in general and the degree of its fat-tailness, in particular. Therefore, it seems likely that averaging...

Pesaran, M Hashem; Schleicher, C; Zaffaroni, P

413

Figure 71. Average fuel economy of new light-duty vehicles, 1980 ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 71. Average fuel economy of new light-duty vehicles, 1980-2040 (miles per gallon, CAFE compliance values) History Reference case

414

Theoretical Assessment of Uncertainty in Regional Averages due to Network Density and Design  

Science Conference Proceedings (OSTI)

Weather Research and Forecasting (WRF) model simulations are performed over Russia for July and December 2005, 2006, and 2007 to create a dataset to assess the impact of network density and design on regional averages. Based on the values at ...

Debasish PaiMazumder; Nicole Mlders

2009-08-01T23:59:59.000Z

415

U.S. Average Depth of Dry Holes Developmental Wells Drilled ...  

Gasoline and Diesel Fuel Update (EIA)

Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Dry Holes Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

416

U.S. Average Depth of Natural Gas Exploratory Wells Drilled ...  

Annual Energy Outlook 2012 (EIA)

Wells Drilled (Feet per Well) U.S. Average Depth of Natural Gas Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

417

U.S. Average Depth of Natural Gas Developmental Wells Drilled...  

Annual Energy Outlook 2012 (EIA)

Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Natural Gas Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

418

U.S. Average Depth of Natural Gas Exploratory and Developmental...  

Gasoline and Diesel Fuel Update (EIA)

and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Natural Gas Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3...

419

U.S. Average Depth of Dry Exploratory and Developmental Wells...  

Annual Energy Outlook 2012 (EIA)

Exploratory and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Dry Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3...

420

U.S. Average Depth of Dry Holes Exploratory Wells Drilled (Feet...  

Annual Energy Outlook 2012 (EIA)

Exploratory Wells Drilled (Feet per Well) U.S. Average Depth of Dry Holes Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

On the filtering properties of ensemble averaging for storm-scale precipitation forecasts  

Science Conference Proceedings (OSTI)

The mean (ENM) of an ensemble of precipitation forecasts is generally more skillful than any of the members as verified against observations. A major reason is that the averaging filters out non-predictable features that the members disagree on. ...

Madalina Surcel; Isztar Zawadzki; M. K. Yau

422

Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4  

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

Hydropower Upgrades to Yield Added Generation at Average Costs Less Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4 cents per kWh - Without New Dams Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4 cents per kWh - Without New Dams November 4, 2009 - 12:00am Addthis WASHINGTON, DC - U.S. Energy Secretary Steven Chu today announced up to $30.6 million in Recovery Act funding for the selection of seven hydropower projects that modernize hydropower infrastructure by increasing efficiency and reducing environmental impacts at existing facilities. The expanded hydro generation projects have estimated incremental costs of less than 4 cents per kWh on average. The selections announced today will deploy innovative technologies such as high-efficiency, fish-friendly turbines, improved water intakes, and

423

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

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

Derivation of 24-Hour Average SO2, Background for the Update 1 Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting documentation for "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Unit 1 Emissions in a Cycling Mode" this memo documents the fact that the observed 24-hour SO2 background concentrations during periods when meteorological conditions produce the highest impacts from Unit 1. Derivation of 24-Hour Average SO2, Background for the Update 1 Report More Documents & Publications Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant"

424

Nonnormal Perturbation Growth of Pure Thermohaline Circulation Using a 2D Zonally Averaged Model  

Science Conference Proceedings (OSTI)

Generalized linear stability theory is used to calculate the optimal initial conditions that result in transient amplification of the thermohaline circulation (THC) in a zonally averaged single-basin ocean model. The eigenmodes of the tangent ...

Julie Alexander; Adam H. Monahan

2009-02-01T23:59:59.000Z

425

"Table HC1.1.3 Housing Unit Characteristics by Average Floorspace...  

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

areas, determined according to the 30-year average (1971-2000) of the annual heating and cooling degree-days. A household is assigned to a climate zone according to the 30-year...

426

Table HC1.1.2 Housing Unit Characteristics by Average Floorspace...  

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

areas, determined according to the 30-year average (1971-2000) of the annual heating and cooling degree-days. A household is assigned to a climate zone according to the 30-year...

427

A Surface Flux Parameterization Based on the Vertically Averaged Turbulence Kinetic Energy  

Science Conference Proceedings (OSTI)

A new bulk transfer formulation for the surface turbulent fluxes of momentum, heat, and moisture has been developed by using the square root of the vertically averaged turbulent kinetic energy (TKE) in the atmospheric boundary layer as a velocity ...

Changan Zhang; David A. Randall; Chin-Hoh Moeng; Mark Branson; Kerry A. Moyer; Qing Wang

1996-11-01T23:59:59.000Z

428

hal-00194169,version1-5Dec2007 Log-average periodogram estimator of the  

E-Print Network (OSTI)

, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. e-mail: glaura@est.ufmg.br Abstract averaged over epochs. The proposed estimator is theoretically justified and empirical Monte Carlo

Paris-Sud XI, Université de

429

Computation of Domain-Averaged Irradiance Using Satellite-Derived Cloud Properties  

Science Conference Proceedings (OSTI)

The respective errors caused by the gamma-weighted two-stream approximation and the effective thickness approximation for computing the domain-averaged broadband shortwave irradiance are evaluated using cloud optical thicknesses derived from 1 h ...

Seiji Kato; Fred G. Rose; Thomas P. Charlock

2005-02-01T23:59:59.000Z

430

KOLMOGOROV THEORY VIA FINITE-TIME AVERAGES C. FOIAS1,2  

E-Print Network (OSTI)

are either based on an ergodic hypothesis (see e.g. [23]) or through a mathematically esoteric notion is to derive similar estimates directly for finite-time averages without resorting to any esoteric relation

Jolly, Michael S.

431

KOLMOGOROV THEORY VIA FINITE-TIME AVERAGES C. FOIAS1,2  

E-Print Network (OSTI)

]) or through a mathematically esoteric notion of generalized limit (see e.g. [2, 17]). In any Date: May 2, 2005 estimates directly for finite-time averages without resorting to any esoteric relation with ensemble av

Temam, Roger

432

Average U.S. residential summer 2013 electric bill expected to be ...  

U.S. Energy Information Administration (EIA)

The average U.S. household electric bill for June through August is expected to total $395, down 2.5% from last summer and the cheapest in four years.

433

The Zonally Averaged Transport Characteristics of the GFDL General Circulation/Transport Model  

Science Conference Proceedings (OSTI)

The GFDL general circulation/tracer model has been used to generate the transport coefficients required in two-dimensional (zonally averaged) transport formulations. This was done by assuming a flux-gradient relationship and then, given gradient ...

R. A. Plumb; J. D. Mahlman

1987-01-01T23:59:59.000Z

434

System average rates of U.S. investor-owned electric utilities : a statistical benchmark study  

E-Print Network (OSTI)

Using multiple regression methods, we have undertaken a statistical "benchmark" study comparing system average electricity rates charged by three California utilities with 96 other US utilities over the 1984-93 time period. ...

Berndt, Ernst R.

1995-01-01T23:59:59.000Z

435

Comparison of Daily Averaged Reflection, Transmission, and Absorption for Selected Radiative Flux Transfer Approximations  

Science Conference Proceedings (OSTI)

This paper compares accuracy for the daily averaged reflection, transmission, and absorption of solar flux derived from the delta-four-stream approximation and a few selected two-stream approximations. In the chosen variety of two-stream ...

Xun Zhu; Albert Arking

1994-12-01T23:59:59.000Z

436

Parameterizing Grid-Averaged Longwave Fluxes for Inhomogeneous Marine Boundary Layer Clouds  

Science Conference Proceedings (OSTI)

This paper examines the relative impacts on grid-averaged longwave flux transmittance (emittance) for marine boundary layer (MBL) cloud fields arising from horizontal variability of optical depth ? and cloud sides. First, using fields of Landsat-...

Howard W. Barker; Bruce A. Wielicki

1997-12-01T23:59:59.000Z

437

Development of a Sea Ice Model for Use in Zonally Averaged Energy Balance Climate Models  

Science Conference Proceedings (OSTI)

A sea ice model for use in zonally averaged energy balance climate models is presented which includes the following processes: surface melting, basal freezing and melting, lateral melting from ice-flee water or growth of new ice in leads, ...

L. D. Danny Harvey

1988-12-01T23:59:59.000Z

438

Wind: monthly and annual average wind GIS data at one-degree...  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of the World from NASASSE

(Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m...

439

Calibrated Surface Temperature Forecasts from the Canadian Ensemble Prediction System Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) has recently been proposed as a way of correcting underdispersion in ensemble forecasts. BMA is a standard statistical procedure for combining predictive distributions from different sources. The output of BMA is a ...

Laurence J. Wilson; Stephane Beauregard; Adrian E. Raftery; Richard Verret

2007-04-01T23:59:59.000Z

440

Table WH6. Average Consumption for Water Heating by Major Fuels ...  

U.S. Energy Information Administration (EIA)

Major Fuels Used 5 (physical units of consumption per household using the fuel as a water heating source) Electricity (kWh) Table WH6. Average Consumption for Water ...

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

A Numerical Diagnostic Model of the Zonally Averaged Circulation in Isentropic Coordinates  

Science Conference Proceedings (OSTI)

In the linear theory of the isentropic zonally averaged circulation (Gallimore and Johnson, 1981), stable meridional circulations within the circumpolar vortex are forced by larger scale diabatic beating and angular momentum torques. The linear ...

Robert G. Gallimore; Donald R. Johnson

1981-09-01T23:59:59.000Z

442

4. Average Price of Natural Gas Delivered to U. S. Consumers ...  

U.S. Energy Information Administration (EIA)

1972..... 0.19 NA 1.21 0.88 0.45 NA 0.34 1973 ... Average Price of Natural Gas Delivered to U. S. Consumers, 1967-2000 (Dollars per Thousand Cubic Feet)

443

2011 Brief: U.S. average gasoline and diesel prices over $3 ...  

U.S. Energy Information Administration (EIA)

The average price U.S. drivers paid for gasoline and diesel during 2011 never fell below $3 per gallon, marking the first time the national pump price for both ...

444

Time-averaged fluxes of lead and fallout radionuclides to sediments in Florida Bay  

E-Print Network (OSTI)

Time-averaged fluxes of lead and fallout radionuclides to sediments in Florida Bay J. A. Robbins,1 between the maximum atmospheric radionuclide fallout and peaks in sediment temporal records of 137 Cs

445

Solar: annual average global horizontal (GHI) GIS data at 10km...  

Open Energy Info (EERE)

at 10km resolution for Cuba from SUNY

(Abstract):Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba

(Purpose):<...

446

FIFE Surface Climate and Site-Average Dataset 198789  

Science Conference Proceedings (OSTI)

This paper analyzes the First ISLSCP (International Satellite Land Surface Climatology Project) Field Experiment site-average datasets for near-surface meteorology, soil moisture, and temperature; the surface fluxes of radiation, sensible, and ...

Alan K. Betts; John H. Ball

1998-04-01T23:59:59.000Z

447

Bottom Stress in Wind-Driven Depth-Averaged Coastal Flows  

Science Conference Proceedings (OSTI)

The relationship between depth-averaged velocity and bottom stress for purely wind-driven flows in unstratified coastal waters is examined using a one-dimensional (vertically resolving) current model. Results indicate that conventional drag laws ...

Harry L. Jenter; Ole Secher Madsen

1989-07-01T23:59:59.000Z

448

Figure 21. Annual average spot price for Brent crude oil in three ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 21. Annual average spot price for Brent crude oil in three cases, 1990-2040 (2011 dollars per barrel) Reference Low Oil Price

449

The Effects of Volume Averaging on Spectra Measured with a Lyman-Alpha Hygrometer  

Science Conference Proceedings (OSTI)

Because the Lyman-alpha hygrometer averages turbulent fluctuations in humidity over a right circular cylinder, the spectral response of the instrument degrades at higher wavenumbers. This paper contains a derivation of the three-dimensional ...

Edgar L. Andreas

1981-04-01T23:59:59.000Z

450

A Simplified Method for the Calculation of Diurnally Averaged Photodissociation Rates  

Science Conference Proceedings (OSTI)

Expressions are given for the calculation of the diurnally averaged transmission of solar flux from a series summation involving relatively few terms (10) and readily available mathematical functions. It is shown that these expressions can be ...

Robert E. Boughner

1980-06-01T23:59:59.000Z

451

Estimation of Area-Averaged Rainfall over Tropical Oceans from Microwave Radiometry: A Single Channel Approach  

Science Conference Proceedings (OSTI)

This paper presents a new simple retrieval algorithm for estimating area-time averaged rain rates over tropical oceans by using single channel microwave measurements from satellites. The algorithm was tested by using the Nimbus-5 Electrically ...

Kyung-Sup Shin; Phil E. Riba; Gerald R. North

1990-10-01T23:59:59.000Z

452

Bright High Average Power Table-top Soft X-Ray Lasers  

Science Conference Proceedings (OSTI)

We have demonstrated the generation of bright soft x-ray laser pulses with record-high average power from compact plasma amplifiers excited by ultrafast solid state lasers. These lasers have numerous applications in nanoscience and nanotechnology.

Rocca, Jorge [Colorado State University, Fort Collins; Reagan, Brendon [Colorado State University, Fort Collins; Wernsing, Keith [Colorado State University, Fort Collins; Luther, Brad [Colorado State University, Fort Collins; Curtis, Alden [Colorado State University, Fort Collins; Nichols,, Anthony [Colorado State University, Fort Collins; Wang, Yong [Colorado State University, Fort Collins; Alessi, David [Colorado State University, Fort Collins; Martz, Dale [Colorado State University, Fort Collins; Yin, Liang [Colorado State University, Fort Collins; Wang, Shoujun [Colorado State University, Fort Collins; Berrill, Mark A [ORNL; Furch, Federico [Colorado State University, Fort Collins; Woolston, Mark [Colorado State University, Fort Collins; Patel, Dinesh [Colorado State University, Fort Collins; Marconi, Mario [Colorado State University, Fort Collins; Menoni, Carmen [Colorado State University, Fort Collins

2012-01-01T23:59:59.000Z

453

The Effects of Subgrid-Scale Parameterizations in a Zonally Averaged Ocean Model  

Science Conference Proceedings (OSTI)

Isopycnal diffusion and an additional transport velocity parameterizing the effect of mesoscale eddies are implemented in the ocean component of a 2.5-dimensional zonally averaged coupled oceanatmosphere model. The equilibrium states of the ...

Reto Knutti; Thomas F. Stocker; Daniel G. Wright

2000-11-01T23:59:59.000Z

454

On the Weights for an Ensemble-Averaged 610-Day Forecast  

Science Conference Proceedings (OSTI)

A scheme to optimally weight the members of an ensemble of forecasts is discussed in the framework of calculating an as accurate as possible ensemble average. Results show, relative to a single member, a considerably improved 500-mb height ...

H. M. Van Den Dool; L. Rukhovets

1994-09-01T23:59:59.000Z

455

Idealized Annually Averaged Macroturbulent Hadley Circulation in a Shallow-Water Model  

Science Conference Proceedings (OSTI)

The interaction of midlatitude eddies and the thermally driven Hadley circulation is studied using an idealized shallow-water model on the rotating sphere. The contributions of the annually averaged differential heating, vertical advection of ...

Ori Adam; Nili Harnik

2013-01-01T23:59:59.000Z

456

U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory...  

Annual Energy Outlook 2012 (EIA)

Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

457

U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory...  

Gasoline and Diesel Fuel Update (EIA)

and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0...

458

U.S. Average Depth of Crude Oil Exploratory and Developmental...  

Annual Energy Outlook 2012 (EIA)

and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3...

459

U.S. Average Depth of Crude Oil, Natural Gas, and Dry Developmental...  

Gasoline and Diesel Fuel Update (EIA)

Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3...

460

U.S. Average Depth of Crude Oil Exploratory Wells Drilled (Feet ...  

U.S. Energy Information Administration (EIA)

U.S. Average Depth of Crude Oil Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1940's: 4,232 ...

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

U.S. Average Depth of Crude Oil Developmental Wells Drilled ...  

Gasoline and Diesel Fuel Update (EIA)

Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

462

Table 7.2 Average Prices of Purchased Energy Sources, 2002  

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

2 Average Prices of Purchased Energy Sources, 2002;" 2 Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; " " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

463

Table 7.4 Average Prices of Selected Purchased Energy Sources, 2002  

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

4 Average Prices of Selected Purchased Energy Sources, 2002;" 4 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate","Natural ","LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

464

Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 20  

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

3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2002;" 3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: U.S. Dollars per Physical Units." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam"," ",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from Sources"

465

"Table E8.1. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

1. Average Prices of Selected Purchased Energy Sources, 1998;" 1. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate",,"LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

466

"Table E8.2. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

2. Average Prices of Selected Purchased Energy Sources, 1998;" 2. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate",,"LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

467

Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002  

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

5 Average Prices of Selected Purchased Energy Sources, 2002;" 5 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate","Natural ","LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

468

Table N8.2. Average Prices of Purchased Energy Sources, 1998  

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

2. Average Prices of Purchased Energy Sources, 1998;" 2. Average Prices of Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected","Wood and Other","Biomass","Components" ,,,,,,,"Coal Components",,,"Coke",,"Electricity","Components",,,,,,,,,,,,,"Natural Gas","Components",,"Steam","Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

469

"Table A25. Average Prices of Selected Purchased Energy Sources by Census"  

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

. Average Prices of Selected Purchased Energy Sources by Census" . Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 1" " (Estimates in Dollars per Physical Unit)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row" "Code(a)","Industry Groups and Industry","(kWh)","(gallon)","(gallon)","cu ft)","(gallon)","(short ton)","Factors"

470

Table 7.1 Average Prices of Purchased Energy Sources, 2002  

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

Average Prices of Purchased Energy Sources, 2002;" Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Physical Units." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

471

Variation in the annual average radon concentration measured in homes in Mesa County, Colorado  

Science Conference Proceedings (OSTI)

The purpose of this study is to examine the variability in the annual average indoor radon concentration. The TMC has been collecting annual average radon data for the past 5 years in 33 residential structures in Mesa County, Colorado. This report is an interim report that presents the data collected up to the present. Currently, the plans are to continue this study in the future. 62 refs., 3 figs., 12 tabs.

Rood, A.S.; George, J.L.; Langner, G.H. Jr.

1990-04-01T23:59:59.000Z

472

Local volume-time averaged equations of motion for dispersed, turbulent, multiphase flows  

Science Conference Proceedings (OSTI)

In most flows of liquids and their vapors, the phases are dispersed randomly in both space and time. These dispersed flows can be described only statistically or in terms of averages. Local volume-time averaging is used here to derive a self-consistent set of equations governing momentum and energy transfer in dispersed, turbulent, multiphase flows. The empiricisms required for use with these equations are the subject of current research.

Sha, W.T.; Slattery, J.C.

1980-11-01T23:59:59.000Z

473

The averaged tensors of the relative energy-momentum and angular momentum in general relativity  

E-Print Network (OSTI)

There exist at least a few different kind of averaging of the differences of the energy-momentum and angular momentum in normal coordinates {\\bf NC(P)} which give tensorial quantities. The obtained averaged quantities are equivalent mathematically because they differ only by constant scalar dimensional factors. One of these averaging was used in our papers [1-8] giving the {\\it canonical superenergy and angular supermomentum tensors}. In this paper we present one other averaging of the energy-momentum and angular momentum differences which gives tensorial quantities with proper dimensions of the energy-momentum and angular momentum densities. But these averaged energy-momentum and angular momentum tensors, closely related to the canonical superenergy and angular supermomentum tensors, {\\it depend on some fundamental length L}. The averaged energy-momentum and angular momentum tensors of the gravitational field obtained in the paper can be applied, like the canonical superenergy and angular supermomentum tensors, to coordinate independent local (and also global) analysis of this field.

Janusz Garecki

2005-05-30T23:59:59.000Z

474

Does anyone have access to 2012 average residential rates by utility  

Open Energy Info (EERE)

Does anyone have access to 2012 average residential rates by utility Does anyone have access to 2012 average residential rates by utility company? I'm seeing an inconsistency between the OpenEI website and EIA 861 data set. Home > Groups > Utility Rate I'm interested in getting a spreadsheet of the most recent EIA average residential utility rates as per the calculation on the http://en.openei.org/wiki/Gateway:Utilities page that generates average rates for utilities, for example: Los Angeles Department of Water & Power (utility ID #11208): EIA Average Rates: Residential: 12.6 cents/kWh Commercial: 12.5 cents/kWh Industrial: 10.9 cents/kWh The site references taking revenue divided by sales from the EIA 861 data set (most recent is 2011) but the calculation I get by dividing revenue by sales from their File2_2011.xls spreadsheet is 12.8 cents/kWh. I spot

475

Applications of High-Resolution Electrospray Ionization Mass Spectrometry to Measurements of Average Oxygen to Carbon Ratios in Secondary Organic Aerosols  

Science Conference Proceedings (OSTI)

The applicability of high resolution electrospray ionization mass spectrometry (HR ESI-MS) to measurements of the average oxygen to carbon ratio (O/C) in organic aerosols was investigated. Solutions with known average O/C containing up to 10 standard compounds representative of secondary organic aerosol (SOA) were analyzed and corresponding electrospray ionization efficiencies were quantified. The assumption of equal ionization efficiency commonly used in estimating O/C ratios of organic aerosols was found to be reasonably accurate. We found that the accuracy of the measured O/C ratios increases by averaging the values obtained from both (+) and (-) modes. A correlation was found between the ratio of the ionization efficiencies in the positive and negative ESI modes with the octanol-water partition constant, and more importantly, with the compound's O/C. To demonstrate the utility of this correlation for estimating average O/C values of unknown mixtures, we analyzed the ESI (+) and ESI (-) data for SOA produced by oxidation of limonene and isoprene and compared to online O/C measurements using an aerosol mass spectrometer (AMS). This work demonstrates that the accuracy of the HR ESI-MS methods is comparable to that of the AMS, with the added benefit of molecular identification of the aerosol constituents.

Bateman, Adam P.; Laskin, Julia; Laskin, Alexander; Nizkorodov, Sergey

2012-07-02T23:59:59.000Z

476

Facility Representatives  

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

and Industry Documents ... 3 2.1.1 DOE Directives (Polices, Orders, Manuals, Guides) ... 3 2.1.2 DOE...

477

,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities"  

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

Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","9/2013","1/15/1985" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_pnp_crq_a_epc0_ycs_pct_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_crq_a_epc0_ycs_pct_m.htm" ,"Source:","Energy Information Administration"

478

Wind: monthly and annual average wind GIS data at one-degree resolution of  

Open Energy Info (EERE)

monthly and annual average wind GIS data at one-degree resolution of monthly and annual average wind GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Wind Speed At 50 m Above The Surface Of The Earth (m/s)NASA Surface meteorology and Solar Energy (SSE) Release 5 Data Set (Jan. 2005)10-year Monthly & Annual Average (July 1983 - June 1993) Parameter: Wind Speed At 50 m Above The Surface Of The Earth (m/s) Internet: http://eosweb.larc.nasa.gov/sse/ Note: SSE Methodology & Accuracy sections online Created: October 4, 2005 See the NASA Surface meteorology and Solar Energy (SSE) web site at http://eosweb.larc.nasa.gov/sse/. The source data was downloaded from the SSE website at Data Retrieval: Meteorology and Solar Energy > Global data sets as text files. The tabular data was then converted to the shapefile format.

479

Table HC1.1.4 Housing Unit Characteristics by Average Floorspace--Apartments, 2  

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

4 Housing Unit Characteristics by Average Floorspace--Apartments, 2005" 4 Housing Unit Characteristics by Average Floorspace--Apartments, 2005" ,,,"Average Square Feet per Apartment in a --" ," Housing Units (millions)" ,,,"2 to 4 Unit Building",,,"5 or More Unit Building" ,,"Apartments (millions)" "Housing Unit Characteristics",,,"Total","Heated","Cooled","Total","Heated","Cooled" "Total",111.1,24.5,1090,902,341,872,780,441 "Census Region and Division" "Northeast",20.6,6.7,1247,1032,"Q",811,788,147 "New England",5.5,1.9,1365,1127,"Q",814,748,107 "Middle Atlantic",15.1,4.8,1182,978,"Q",810,800,159 "Midwest",25.6,4.6,1349,1133,506,895,810,346

480

Table HC1.2.2 Living Space Characteristics by Average Floorspace  

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

2 Living Space Characteristics by Average Floorspace, " 2 Living Space Characteristics by Average Floorspace, " " Per Housing Unit and Per Household Member, 2005" ,,"Average Square Feet" ," Housing Units (millions)" ,,"Per Housing Unit",,,"Per Household Member" "Living Space Characteristics",,"Total1","Heated","Cooled","Total1","Heated","Cooled" "Total",111.1,2033,1618,1031,791,630,401 "Total Floorspace (Square Feet)" "Fewer than 500",3.2,357,336,113,188,177,59 "500 to 999",23.8,733,667,308,343,312,144 "1,000 to 1,499",20.8,1157,1086,625,435,409,235 "1,500 to 1,999",15.4,1592,1441,906,595,539,339 "2,000 to 2,499",12.2,2052,1733,1072,765,646,400

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Table HC1.2.4 Living Space Characteristics by Average Floorspace--Apartments, 2  

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

2.4 Living Space Characteristics by Average Floorspace--Apartments, 2005" 2.4 Living Space Characteristics by Average Floorspace--Apartments, 2005" ,,,"Average Square Feet per Apartment in a --" ," Housing Units (millions)" ,,,"2 to 4 Unit Building",,,"5 or More Unit Building" ,,"Apartments (millions)" "Living Space Characteristics",,,"Total","Heated","Cooled","Total","Heated","Cooled" "Total",111.1,24.5,1090,902,341,872,780,441 "Total Floorspace (Square Feet)" "Fewer than 500",3.1,2.3,403,360,165,366,348,93 "500 to 999",22.2,14.4,763,660,277,730,646,303 "1,000 to 1,499",19.1,5.8,1223,1130,496,1187,1086,696 "1,500 to 1,999",14.4,1,1700,1422,412,1698,1544,1348

482

,"U.S. Conventional, Average Refiner Gasoline Prices"  

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

Conventional, Average Refiner Gasoline Prices" Conventional, Average Refiner Gasoline Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Conventional, Average Refiner Gasoline Prices",6,"Monthly","9/2013","1/15/1994" ,"Release Date:","12/2/2013" ,"Next Release Date:","1/2/2014" ,"Excel File Name:","pet_pri_refmg2_c_nus_epm0u_dpgal_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_refmg2_c_nus_epm0u_dpgal_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

483

,"U.S. Reformulated, Average Refiner Gasoline Prices"  

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

Reformulated, Average Refiner Gasoline Prices" Reformulated, Average Refiner Gasoline Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Reformulated, Average Refiner Gasoline Prices",6,"Monthly","9/2013","1/15/1994" ,"Release Date:","12/2/2013" ,"Next Release Date:","1/2/2014" ,"Excel File Name:","pet_pri_refmg2_c_nus_epm0r_dpgal_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_refmg2_c_nus_epm0r_dpgal_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

484

The quiet Sun average Doppler shift of coronal lines up to 2 MK  

E-Print Network (OSTI)

The average Doppler shift shown by spectral lines formed from the chromosphere to the corona reveals important information on the mass and energy balance of the solar atmosphere, providing an important observational constraint to any models of the solar corona. Previous spectroscopic observations of vacuum ultra-violet (VUV) lines have revealed a persistent average wavelength shift of lines formed at temperatures up to 1 MK. At higher temperatures, the behaviour is still essentially unknown. Here we analyse combined SUMER/SoHO and EIS/Hinode observations of the quiet Sun around disk centre to determine, for the first time, the average Doppler shift of several spectral lines formed between 1 and 2 MK, where the largest part of the quiet coronal emission is formed. The measurements are based on a novel technique applied to EIS spectra to measure the difference in Doppler shift between lines formed at different temperatures. Simultaneous wavelength-calibrated SUMER spectra allow establishing the absolute value a...

Dadashi, Neda; Solanki, Sami K

2011-01-01T23:59:59.000Z

485

Analytical expressions for maximum wind turbine average power in a Rayleigh wind regime  

DOE Green Energy (OSTI)

Average or expectation values for annual power of a wind turbine in a Rayleigh wind regime are calculated and plotted as a function of cut-out wind speed. This wind speed is expressed in multiples of the annual average wind speed at the turbine installation site. To provide a common basis for comparison of all real and imagined turbines, the Rayleigh-Betz wind machine is postulated. This machine is an ideal wind machine operating with the ideal Betz power coefficient of 0.593 in a Rayleigh probability wind regime. All other average annual powers are expressed in fractions of that power. Cases considered include: (1) an ideal machine with finite power and finite cutout speed, (2) real machines operating in variable speed mode at their maximum power coefficient, and (3) real machines operating at constant speed.

Carlin, P.W.

1996-12-01T23:59:59.000Z

486

Is the Average of Expert Tasters Grades a Good Price Predictor?  

E-Print Network (OSTI)

Preliminary Version This paper takes yet another look at the price/quality relationship studied in Combris, Lecocq and Visser (1997, 2000). The data come from an experimental study that is very similar to the two previous studies. Like in the earlier studies, quality, measured as the average of expert tasters grades, has a small impact on wine prices. Exploiting the fact that the new data are recorded on a relatively ner levelexpert-specic grades are observed instead of averagesthe paper sheds new light on the price/quality paradox. We nd a strong correlation between average grades and price when the dispersion of grades is small, i.e. when there is much consensus among experts about the quality of a wine. Wine prices are also strongly correlated with the highest grade assigned. Possible explanations for these ndings are given.

Sbastien Lecocq Y; Michael Visser Z

2001-01-01T23:59:59.000Z

487

"Table A25 Average Prices of Selected Purchased Energy Sources by Census"  

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

Average Prices of Selected Purchased Energy Sources by Census" Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Groups and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","Factors" ,,"Total United States" ,"RSE Column Factors:",0.7,0.8,1,2.8,1,0.7 20,"Food and Kindred Products",15.789,2.854,6.064,2.697,7.596,1.433,4.5

488

Gregory H. Friedman: Before the U.S. House of Representatives...  

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

U.S. House of Representatives Committee on Government Reform Gregory H. Friedman: Before the U.S. House of Representatives Committee on Government Reform March 20, 2003 Before the...

489

U.S. Energy Secretary Steven Chu, U.S. Representatives Larson...  

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

Chu, U.S. Representatives Larson and Courtney to Visit Research Center in East Hartford U.S. Energy Secretary Steven Chu, U.S. Representatives Larson and Courtney to Visit...

490

Average Outgoing Quality of CSP-C Continuous Sampling Plan under Short  

E-Print Network (OSTI)

Average Outgoing Quality of CSP-C Continuous Sampling Plan under Short Run Production Processes S and Technology, Pohang, South Korea ABSTRACT A CSP-C continuous sampling plan is a new single-level continuous number to the CSP-1 plan for the application of continuous production processes. In this new plan

Jun, Chi-Hyuck

491

Rapid Estimation of Column-Averaged CO2 Concentration Using a Correlation Algorithm  

Science Conference Proceedings (OSTI)

Measurement of XCO2, the column-averaged mole fraction of CO2, using reflected sunlight in the near-infrared bands of CO2, is strongly influenced by photons that are scattered in the atmosphere because scattering can either decrease or increase ...

Igor Polonsky; D. M. OBrien

2010-12-01T23:59:59.000Z

492

An accurate approximation to the average error probability of cooperative diversity in Nakagami-m fading  

Science Conference Proceedings (OSTI)

A new approximation to the average symbol error rate of cooperative diversity is derived for independent and non-identically distributed Nakagami-m fading channels. The new approximation has the same computational complexity as previous lower bounds ... Keywords: Nakagami, cooperative diversity, fading channels, symbol error rate

Norman C. Beaulieu; Yunfei Chen

2010-09-01T23:59:59.000Z

493

Average crack front velocity during subcritical fracture propagation in a heterogeneous medium  

E-Print Network (OSTI)

the free energy, and thus the energy barrier, via numerous competing mech- anisms like stress corrosion speed of crack growth with increasing G; a weak stress- sensitive regime II follows where transportAverage crack front velocity during subcritical fracture propagation in a heterogeneous medium

Ampuero, Jean Paul

494

A stochastic kinematic model of class averaging in single-particle electron microscopy  

Science Conference Proceedings (OSTI)

Single-particle electron microscopy is an experimental technique that is used to determine the three-dimensional (3D) structure of biological macromolecules and the complexes that they form. In general, image processing techniques and reconstruction ... Keywords: Class average, convolution, image alignment, single-particle electron microscopy

Wooram Park; Charles R Midgett; Dean R Madden; Gregory S Chirikjian

2011-05-01T23:59:59.000Z

495

Hurricane-Generated Depth-Averaged Currents and Sea Surface Elevation  

Science Conference Proceedings (OSTI)

A theory of the depth-averaged currents and sea surface elevation generated by a moving hurricane in a stratified ocean with flat bottom is presented. Using a scale analysis of the depth-integrated momentum and continuity equations, it is found ...

Isaac Ginis; Georgi Sutyrin

1995-06-01T23:59:59.000Z

496

The University of Texas at Austin Average Cost of Attendance per Academic Year (Fall & Spring)  

E-Print Network (OSTI)

The University of Texas at Austin Average Cost of Attendance per Academic Year (Fall & Spring) for Texas Resident Undergraduates 2010-2011 - Calculations based on a course load of 15-hours per semester of rules set forth by the Texas Higher Education Coordinating Board regarding the implementation of Senate

Texas at Austin, University of

497

Carrier Noise Reduction in Speckle Correlation Interferometry by a Unique Averaging Technique  

SciTech Connect

We present experimental result of carrier speckle noise averaging by a novel approach to generate numerous identical correlation fringes with randomly different speckles. The surface under study is sprayed with a new dry paint or a layer each time for the repetitive experiments to generate randomly different surfaces of the carrier speckle patterns.

Pechersky, M.J.

1999-01-20T23:59:59.000Z

498

Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems  

Science Conference Proceedings (OSTI)

The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)

Widen, Joakim; Waeckelgaard, Ewa [Department of Engineering Sciences, The Aangstroem Laboratory, Uppsala University, P.O. Box 534, SE-751 21 Uppsala (Sweden); Paatero, Jukka; Lund, Peter [Advanced Energy Systems, Helsinki University of Technology, P.O. Box 2200, FI-02015 HUT (Finland)

2010-03-15T23:59:59.000Z

499

Physica D 198 (2004) 281308 Diffuse interface modeling of two-phase flows based on averaging  

E-Print Network (OSTI)

, The University of Iowa, Iowa City, IA 52242, USA Received 23 April 2004; received in revised form 26 August 2004 and uses an ensemble averaging procedure on an atomic scale to obtain a diffuse interface version forces in the momentum equations for each phase. Based on a superposition of microscopic (atomic

Beckermann, Christoph

500

Estimates of Area-Averaged Diapycnal Fluxes from Basin-Scale Budgets  

Science Conference Proceedings (OSTI)

Estimates of area-averaged diapycnal fluxes for the southern oceans are derived from basin-scale budgets of mass, heat, and salt using a box inverse model. The diapycnal fluxes are found to be significant terms in the isopycnal budgets of mass, ...

Bernadette M. Sloyan; Stephen R. Rintoul

2000-09-01T23:59:59.000Z