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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.


1

Determination of capillary displacement pressure and representative average capillary pressure vs. depth in shally sandstones from well logs  

SciTech Connect (OSTI)

This research presents a method whereby the capillary displacement pressure Pcd and the representative average capillary pressure in shaly sandstone reservoirs exhibits continuous information vs. depth from well logs. By the aid of special core analysis, correlation functions were obtained that relate the capillary characteristics of the reservoir rock to its lithologic development. Since the lithologic influence factor is a well log-derived parameter the correlations then were used to determine by means of well logs the capillary displacement and average capillary pressures for borehole sections where special core analysis is not available. This technique has been developed and applied to the shaly sandstone reservoir of the Sarir oil field in Libya.

Barlai, Z.; Berruin, N.A.; Mawla, R.A.

1981-01-01T23:59:59.000Z

2

Facility Representatives  

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

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

Facility Representatives  

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

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

4

Average Residential Price  

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

Data Series: Average Residential Price Residential Price - Local Distribution Companies Residential Price - Marketers Residential % Sold by Local Distribution Companies Average...

5

Department Safety Representatives Department Safety Representative  

E-Print Network [OSTI]

Department Safety Representatives Overview Department Safety Representative Program/Operations Guidance Document The Department Safety Representative (DSR) serves a very important role with implementation of safety, health, and environmental programs on campus. The role of the DSR is to assist

Pawlowski, Wojtek

6

Unimodular Gravity and Averaging  

E-Print Network [OSTI]

The question of the averaging of inhomogeneous spacetimes in cosmology is important for the correct interpretation of cosmological data. In this paper we suggest a conceptually simpler approach to averaging in cosmology based on the averaging of scalars within unimodular gravity. As an illustration, we consider the example of an exact spherically symmetric dust model, and show that within this approach averaging introduces correlations (corrections) to the effective dynamical evolution equation in the form of a spatial curvature term.

A. Coley; J. Brannlund; J. Latta

2011-02-16T23:59:59.000Z

7

HFAG Charm Mixing Averages  

E-Print Network [OSTI]

Recently the first evidence for charm mixing has been reported by several experiments. To provide averages of these mixing results and other charm results, a new subgroup of the Heavy Flavor Averaging Group has been formed. We here report on the method and results of averaging the charm mixing results.

B. Aa. Petersen

2007-12-10T23:59:59.000Z

8

Facility Representative Program: 2000 Facility Representative Workshop  

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

9

Facility Representative Program: 2010 Facility Representative Workshop  

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

10

Facility Representative Program: 2007 Facility Representative Workshop  

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

11

Facility Representative Program: 2003 Facility Representative Workshop  

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

12

Facility Representative Program: 2001 Facility Representative Workshop  

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

13

Facility Representative Program: Facility Representative Program Sponsors  

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

14

Facility Representative Program: 2004 Facility Representative Workshop  

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

15

Facility Representative Program: 2006 Facility Representative Workshop  

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

16

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)

17

DOE Average Results  

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

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

18

Americans' Average Radiation Exposure  

SciTech Connect (OSTI)

We live with radiation every day. We receive radiation exposures from cosmic rays, from outer space, from radon gas, and from other naturally radioactive elements in the earth. This is called natural background radiation. It includes the radiation we get from plants, animals, and from our own bodies. We also are exposed to man-made sources of radiation, including medical and dental treatments, television sets and emission from coal-fired power plants. Generally, radiation exposures from man-made sources are only a fraction of those received from natural sources. One exception is high exposures used by doctors to treat cancer patients. Each year in the United States, the average dose to people from natural and man-made radiation sources is about 360 millirem. A millirem is an extremely tiny amount of energy absorbed by tissues in the body.

NA

2000-08-11T23:59:59.000Z

19

Facility Representative Program  

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

20

Viscosity-average molecular weight  

Science Journals Connector (OSTI)

n .... An averaged molecular weight for high polymers that relates most closely to measurements of dilute-solution viscosities ...

2007-01-01T23:59:59.000Z

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.


21

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

22

On representing chemical environments  

Science Journals Connector (OSTI)

We review some recently published methods to represent atomic neighborhood environments, and analyze their relative merits in terms of their faithfulness and suitability for fitting potential energy surfaces. The crucial properties that such representations (sometimes called descriptors) must have are differentiability with respect to moving the atoms and invariance to the basic symmetries of physics: rotation, reflection, translation, and permutation of atoms of the same species. We demonstrate that certain widely used descriptors that initially look quite different are specific cases of a general approach, in which a finite set of basis functions with increasing angular wave numbers are used to expand the atomic neighborhood density function. Using the example system of small clusters, we quantitatively show that this expansion needs to be carried to higher and higher wave numbers as the number of neighbors increases in order to obtain a faithful representation, and that variants of the descriptors converge at very different rates. We also propose an altogether different approach, called Smooth Overlap of Atomic Positions, that sidesteps these difficulties by directly defining the similarity between any two neighborhood environments, and show that it is still closely connected to the invariant descriptors. We test the performance of the various representations by fitting models to the potential energy surface of small silicon clusters and the bulk crystal.

Albert P. Bartk; Risi Kondor; Gbor Csnyi

2013-05-28T23:59:59.000Z

23

Averaging Hypotheses in Newtonian Cosmology  

E-Print Network [OSTI]

Average properties of general inhomogeneous cosmological models are discussed in the Newtonian framework. It is shown under which circumstances the average flow reduces to a member of the standard Friedmann--Lema\\^\\i tre cosmologies. Possible choices of global boundary conditions of inhomogeneous cosmologies as well as consequences for the interpretation of cosmological parameters are put into perspective.

T. Buchert

1995-12-20T23:59:59.000Z

24

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

25

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

26

Wave represents displacement Wave represents pressure Source -Sound Waves  

E-Print Network [OSTI]

Wave represents displacement Wave represents pressure Source - Sound Waves Distance between crests is wavelength Number of crests passing a point in 1 second is frequency Wave represents pressure Target - Radio Waves Distance between crests is wavelength Number of crests passing a point in 1 second is frequency

Colorado at Boulder, University of

27

Core Measure Average KTR Results  

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

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

28

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

29

Atmospheric propagation simulations and Boeing's high average power free electron laser ; .  

E-Print Network [OSTI]

??The development of a high average power FEL for military applications, whether shipboard or not, represents a significant advancement in technology over present weapons systems (more)

Ramos, Luis.

1995-01-01T23:59:59.000Z

30

Facility Representative Program: Facility Representative of the Year  

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

31

FAQS Reference Guide Facility Representative  

Broader source: Energy.gov [DOE]

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

32

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)

33

Facility Representative Program: Qualification Standards  

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

34

Facility Representative Program: Basic Courses For Facility Representative  

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

35

Year Average Transportation Cost of Coal  

Gasoline and Diesel Fuel Update (EIA)

delivered costs of coal, by year and primary transport mode Year Average Transportation Cost of Coal (Dollars per Ton) Average Delivered Cost of Coal (Dollars per Ton)...

36

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.

37

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.

38

Facility Representative Program: Facility Representative of the Year  

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

39

General Engineer / Physical Scientist (Facility Representative)  

Broader source: Energy.gov [DOE]

Facility Representatives (FRs) are line management's on-site technical representative with responsibility for identifying and evaluating environmental, safety and health issues and concerns,...

40

FAQS Job Task Analyses - Facility Representative | Department...  

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

Facility Representative FAQS Job Task Analyses - Facility Representative FAQS Job Task Analyses are performed on the Function Area Qualification Standards. The FAQS Job Task...

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

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 +

42

Regional averaging and scaling in relativistic cosmology  

E-Print Network [OSTI]

Averaged inhomogeneous cosmologies lie at the forefront of interest, since cosmological parameters like the rate of expansion or the mass density are to be considered as volume-averaged quantities and only these can be compared with observations. For this reason the relevant parameters are intrinsically scale-dependent and one wishes to control this dependence without restricting the cosmological model by unphysical assumptions. In the latter respect we contrast our way to approach the averaging problem in relativistic cosmology with shortcomings of averaged Newtonian models. Explicitly, we investigate the scale-dependence of Eulerian volume averages of scalar functions on Riemannian three-manifolds. We propose a complementary view of a Lagrangian smoothing of (tensorial) variables as opposed to their Eulerian averaging on spatial domains. This program is realized with the help of a global Ricci deformation flow for the metric. We explain rigorously the origin of the Ricci flow which, on heuristic grounds, has already been suggested as a possible candidate for smoothing the initial data set for cosmological spacetimes. The smoothing of geometry implies a renormalization of averaged spatial variables. We discuss the results in terms of effective cosmological parameters that would be assigned to the smoothed cosmological spacetime.

Thomas Buchert; Mauro Carfora

2002-10-11T23:59:59.000Z

43

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

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

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)","(%)"

44

STEO January 2013 - average gasoline prices  

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

gasoline prices are expected to decline over the next two years. The average pump price for regular unleaded gasoline was 3.63 a gallon during 2012. That is expected to fall...

45

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

46

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

47

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

48

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

49

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

50

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

51

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

52

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

53

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

54

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

55

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

56

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

57

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

58

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

59

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

60

Facility Representative of the Year Award  

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

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

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

Polarized electron beams at milliampere average current  

SciTech Connect (OSTI)

This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of today's CEBAF polarized source operating at ~ 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

Poelker, Matthew [JLAB

2013-11-01T23:59:59.000Z

62

Laser Fusion Energy The High Average Power  

E-Print Network [OSTI]

Laser Fusion Energy and The High Average Power Program John Sethian Naval Research Laboratory Dec for Inertial Fusion Energy with lasers, direct drive targets and solid wall chambers Lasers DPPSL (LLNL) Kr posters Snead Payne #12;Laser(s) Goals 1. Develop technologies that can meet the fusion energy

63

Ordered Weighted Average Based Fuzzy Rough Sets  

E-Print Network [OSTI]

Ordered Weighted Average Based Fuzzy Rough Sets Chris Cornelis 1 , Nele Verbiest1 , and Richard rough set model, which is based on a similar rationale, our proposal has the ad- vantage a feature selection application confirm the potential of the OWA-based model. Keywords: fuzzy rough sets

Gent, Universiteit

64

HIGH AVERAGE POWER OPTICAL FEL AMPLIFIERS.  

SciTech Connect (OSTI)

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

65

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

66

DOE ORP Contracting Officer Representatives - Hanford Site  

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

DOE ORP Contracting Officer Representatives DOE - ORP ContractsProcurements ORP Contracts & Procurements Home DOE-ORP Contract Management Plans DOE-ORP Prime Contracts DOE-ORP...

67

Sources Of Average Individual Radiation Exposure  

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

68

Fat turnover in obese slower than average  

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

69

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

70

Indirect CP violation results and HFAG averages  

E-Print Network [OSTI]

The current status of the search for indirect CP violation in the neutral D meson system at the B-factories and at LHCb is reported. The indirect CP asymmetry search is performed by the measurement of the proper-time asymmetry ($A_{\\Gamma}$) in decays of $D^0-\\bar{D^0}$ mesons to CP eigenstates, $K^-K^+$ and $\\pi^- \\pi^+$, and by $y_{CP}$, the ratio between the effective lifetime measured in decay to a CP eigenstate and that to the mixed eigenstate $K \\pi$. All results are consistent with the no CP violation hypothesis. The latest world averages for mixing and CP asymmetry in the charm sector evaluated by the Heavy Flavour Averaging Group are presented. The no mixing hypothesis is excluded at more than 12 standard deviations. The search for direct and indirect CP violation in the charm sector is consistent with no CP violation at 2.0% confident level.

Silvia Borghi

2013-12-17T23:59:59.000Z

71

Polarized electron beams at milliampere average current  

SciTech Connect (OSTI)

This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of todays CEBAF polarized source operating at ? 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

Poelker, M. [Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606 (United States)

2013-11-07T23:59:59.000Z

72

Representativeness models of systems: smart grid example  

Science Journals Connector (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

73

Incentives for the Department's Facility Representative Program,  

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

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

74

Average resonance capture study of Te124  

Science Journals Connector (OSTI)

An average resonance capture study of Te124 was carried out by bombarding samples of Te123 with 2- and 24-keV neutron beams. The complete set of 0+, 1+, 2+ states disclosed by the experiment is consistent with the data of Robinson, Hamilton, and Snelling, demonstrating that there are no undetected states of these spins (especially 0+ states) below about 2500 keV. In particular, proposed 0+ levels at 1156 and 1290 keV are ruled out. This impacts various attempted interpretations in terms of intruder states, U(5), and O(6) symmetries.

R. F. Casten; J.-Y. Zhang; B.-C. Liao

1991-07-01T23:59:59.000Z

75

Farm-level economic impacts of the House of Representatives Farm Bill Proposal, H.R. 2646, and the Senate Farm Bill Proposal, S. 1731, for representative rice farms  

E-Print Network [OSTI]

Annual Nei Cash Vann Income, 2002-2010, Under H. R. 2646 and S. 1731 for the 3, 774-acre Texas Representative Rice Farm, TXR3774 . 55 CDF of Average Annual Net Cash Farm Income, 2002-2010, Under H. R. 2646 and S. 1731 for the 1, 650-acre Texas... Missouri Representative Rice Farm, MOER4000. 67 17 CDF of Average Annual Net Cash Farm Income, 2002-2010, Under H. R. 2646 and S. 1731 for the 4, 735-acre Mississippi Representative Rice Farm, MSR4735. 68 18 Certainty Equivalents of Average Annual Nei...

Houston, Christy Michelle

2002-01-01T23:59:59.000Z

76

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

77

Average values and dispersion (in parentheses)  

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

78

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

79

Advisory Board Seats New Student Representatives | Department...  

Office of Environmental Management (EM)

15, 2013 - 12:00pm Addthis The Oak Ridge Site Specific Advisory Board (ORSSAB) welcomed two new student representatives at its May meeting. Gracie Hall and Julia Riley will serve...

80

Authorizing Official Designated Representative (AODR) | Department...  

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

the AO Representative role will have a working knowledge of system function, security policies, and technical security safeguards, and serve as technical advisor(s) to the AO. AODR...

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

Facility Representative Program, Criteria & Review Approach Documents  

Broader source: Energy.gov [DOE]

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.

82

A Capital Market Test of Representativeness  

E-Print Network [OSTI]

. I also provide evidence that rejects a theory based on fixation in favor of representativeness. These results document evidence of overreaction to past sales growth in firms where underreaction to fundamentals does not confound the overreaction due...

Safdar, Mohammad

2012-07-16T23:59:59.000Z

83

Average deployments versus missile and defender parameters  

SciTech Connect (OSTI)

This report evaluates the average number of reentry vehicles (RVs) that could be deployed successfully as a function of missile burn time, RV deployment times, and the number of space-based interceptors (SBIs) in defensive constellations. Leakage estimates of boost-phase kinetic-energy defenses as functions of launch parameters and defensive constellation size agree with integral predictions of near-exact calculations for constellation sizing. The calculations discussed here test more detailed aspects of the interaction. They indicate that SBIs can efficiently remove about 50% of the RVs from a heavy missile attack. The next 30% can removed with two-fold less effectiveness. The next 10% could double constellation sizes. 5 refs., 7 figs.

Canavan, G.H.

1991-03-01T23:59:59.000Z

84

Fuel Economy Standards, New Vehicle Sales, and Average Fuel Efficiency  

Science Journals Connector (OSTI)

The average fuel efficiency of new automobiles sold in the ... trend stagnated in 1981, however, and average fuel efficiency has actually fallen since 1987. Corporate Average Fuel Economy (CAFE) standardsthe maj...

Steven G. Thorpe

1997-05-01T23:59:59.000Z

85

Fact #744: September 10, 2012 Average New Light Vehicle Price...  

Energy Savers [EERE]

4: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price Fact 744: September 10, 2012 Average New Light Vehicle Price Grows Faster...

86

STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL  

E-Print Network [OSTI]

be used to calculate weight-averaged U-factors or averaged SHGC values for prescriptive envelope of window (the SHGC values of skylights cannot be averaged per §151(f)4A). a. "Area" can be replaced

87

Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51%...  

Energy Savers [EERE]

average is the production-weighted harmonic mean. 2014 data are preliminary. Fact 849 Dataset Supporting Information Average Fuel Economy of New Midsize Cars - Hybrid vs....

88

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.

89

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

90

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

91

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

92

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

93

FOOD SECURITY FUEL INDEPENDENCE These projects represent  

E-Print Network [OSTI]

FOOD SECURITY FUEL INDEPENDENCE These projects represent a huge effort to determine and improve pressing challenges. ASH 1% ASH 1% ASH 1% OTHERS 6% OTHERS 6% OTHERS 6% OIL 2% OIL 10% OIL 20% SUCROSE 45% LIPID CANE Produce and store oil in the stem in place of sugar During photosynthesis, sugarcane

Bashir, Rashid

94

An iconic approach to representing climate change  

E-Print Network [OSTI]

1 An iconic approach to representing climate change Saffron Jessica O'Neill A thesis submitted-experts to be meaningfully engaged with the issue of climate change. This thesis investigates the value of engaging non-experts with climate change at the individual level. Research demonstrates that individuals perceive climate change

Feigon, Brooke

95

Book Reviews NETL: A System for Representing  

E-Print Network [OSTI]

Book Reviews NETL: A System for Representing and Using Real-World Knowledge Scott E. Fahlman structure which can be con- sidered on its own merits, independently of such tim- ing considerations. NETL in the original]. The central organizing principle of NETL is a prop- erty inheritance hierarchy using nodes

Shapiro, Stuart C.

96

Data structures and apparatuses for representing knowledge  

DOE Patents [OSTI]

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; Thomson, Judi R; Harvey, William J; Paulson, Patrick R; Whiting, Mark A; Tratz, Stephen C; Chappell, Alan R; Butner, Robert S

2014-02-18T23:59:59.000Z

97

Yucca Mountain Climate Technical Support Representative  

SciTech Connect (OSTI)

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

98

1997 Annual Facility Representative Workshop Attendees  

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

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

99

1998 Annual Facility Representative Workshop Attendees  

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

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

100

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

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

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

Fact #614: March 15, 2010 Average Age of Household Vehicles  

Broader source: Energy.gov [DOE]

The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first...

102

Fact #615: March 22, 2010 Average Vehicle Trip Length  

Broader source: Energy.gov [DOE]

According to the latest National Household Travel Survey, the average trip length grew to over 10 miles in 2009, just slightly over the 9.9 mile average in 2001. Trips to work in 2009 increased to...

103

Fact #835: August 25, Average Historical Annual Gasoline Pump...  

Energy Savers [EERE]

5: August 25, Average Historical Annual Gasoline Pump Price, 1929-2013 Fact 835: August 25, Average Historical Annual Gasoline Pump Price, 1929-2013 When adjusted for inflation,...

104

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

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

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-

105

Laboratory or Facility Representative Email Addresses Phone #  

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

106

Facility Representative Functional Area Qualification Standard  

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

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

107

Spherical averages and applications to spherical splines and interpolation  

Science Journals Connector (OSTI)

This article introduces a method for computing weighted averages on spheres based on least squares minimization that respects spherical distance. We prove existence and uniqueness properties of the weighted averages, and give fast iterative algorithms ... Keywords: Bzier curve, B-spline, barycentric coordinates, least squares minimization, quaternion interpolation, quaternions, spherical average, spherical interpolation, spherical mean, spline curve, spline interpolation

Samuel R. Buss; Jay P. Fillmore

2001-04-01T23:59:59.000Z

108

Department of Defense Representatives Visit Hanford to Benchmark...  

Office of Environmental Management (EM)

Representatives Visit Hanford to Benchmark Safety Department of Defense Representatives Visit Hanford to Benchmark Safety FLUOR News Release RICHLAND, Wash., December 16, 2005,...

109

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

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

110

Average Interest Rate for Treasury Securities | Data.gov  

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

111

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

Open Energy Info (EERE)

Facebook icon Twitter icon Home Organizations DLR - Deutsches Zentrum fr ... Solar: monthly and annual ... Dataset Activity Stream Solar: monthly and annual average...

112

,"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"

113

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

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

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

114

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

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

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

115

Higher-order averaging, formal series and numerical integration II  

E-Print Network [OSTI]

systems of ordinary differential equations with d 1 non- resonant constant frequencies. Formal series frequency and four resonant fast frequencies. Keywords and sentences: Averaging, high-order averaging, quasi Schumann, 35170 Bruz, France. Email: Philippe.Chartier@inria.fr Konputazio Zientziak eta A. A. Saila

Murua, Ander

116

Facility Representative Program ID Selects FR of the Year  

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

117

Do Diurnal Aerosol Changes Affect Daily Average Radiative Forcing?  

SciTech Connect (OSTI)

Strong diurnal variability of aerosol has been observed frequently for many urban/industrial regions. How this variability may alter the direct aerosol radiative forcing (DARF), however, is largely unknown. To quantify changes in the time-averaged DARF, we perform an assessment of 29 days of high temporal resolution ground-based data collected during the Two-Column Aerosol Project (TCAP) on Cape Cod, which is downwind of metropolitan areas. We demonstrate that strong diurnal changes of aerosol loading (about 20% on average) have a negligible impact on the 24-h average DARF, when daily averaged optical properties are used to find this quantity. However, when there is a sparse temporal sampling of aerosol properties, which may preclude the calculation of daily averaged optical properties, large errors (up to 100%) in the computed DARF may occur. We describe a simple way of reducing these errors, which suggests the minimal temporal sampling needed to accurately find the forcing.

Kassianov, Evgueni I.; Barnard, James C.; Pekour, Mikhail S.; Berg, Larry K.; Michalsky, Joseph J.; Lantz, K.; Hodges, G. B.

2013-06-17T23:59:59.000Z

118

Averaged dynamics of ultra-relativisitc charged particles beams  

E-Print Network [OSTI]

In this thesis, we consider the suitability of using the charged cold fluid model in the description of ultra-relativistic beams. The method that we have used is the following. Firstly, the necessary notions of kinetic theory and differential geometry of second order differential equations are explained. Then an averaging procedure is applied to a connection associated with the Lorentz force equation. The result of this averaging is an affine connection on the space-time manifold. The corresponding geodesic equation defines the averaged Lorentz force equation. We prove that for ultra-relativistic beams described by narrow distribution functions, the solutions of both equations are similar. This fact justifies the replacement of the Lorentz force equation by the simpler {\\it averaged Lorentz force equation}. After this, for each of these models we associate the corresponding kinetic model, which are based on the Vlasov equation and {\\it averaged Vlasov equation} respectively. The averaged Vlasov equation is simpler than the original Vlasov equation. This fact allows us to prove that the differential operation defining the averaged charged cold fluid equation is controlled by the {\\it diameter of the distribution function}, by powers of the {\\it energy of the beam} and by the time of evolution $t$. We show that the Vlasov equation and the averaged Vlasov equation have similar solutions, when the initial conditions are the same. Finally, as an application of the {\\it averaged Lorentz force equation} we re-derive the beam dynamics formalism used in accelerator physics from the Jacobi equation of the averaged Lorentz force equation.

Ricardo Gallego Torrom

2012-06-19T23:59:59.000Z

119

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

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

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

120

Measurement of average resistance in underwater breathing apparatus  

SciTech Connect (OSTI)

Underwater Breathing Apparatus (UBA) have long been characterized by the mechanical work done on them during simulated breathing. For 20 years, the work of breathing has been divided by tidal volume to yield what is properly considered a volume-averaged pressure. The authors assert that when volume-averaged pressure is divided by a factor proportional to ventilation, the result is a measure of flow resistance averaged over an entire breath. This point is illustrated with both theoretical and actual pressure-volume and pressure-flow curves for a MK 16 closed-circuit UBA.

Clarke, J.R. [Navy Experimental Diving Unit, Panama City, FL (United States)

1996-09-01T23:59:59.000Z

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

Time average vibration fringe analysis using Hilbert transformation  

SciTech Connect (OSTI)

Quantitative phase information from a single interferogram can be obtained using the Hilbert transform (HT). We have applied the HT method for quantitative evaluation of Bessel fringes obtained in time average TV holography. The method requires only one fringe pattern for the extraction of vibration amplitude and reduces the complexity in quantifying the data experienced in the time average reference bias modulation method, which uses multiple fringe frames. The technique is demonstrated for the measurement of out-of-plane vibration amplitude on a small scale specimen using a time average microscopic TV holography system.

Kumar, Upputuri Paul; Mohan, Nandigana Krishna; Kothiyal, Mahendra Prasad

2010-10-20T23:59:59.000Z

122

FAQS Qualification Card - Facility Representative | Department of Energy  

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

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

123

An improved weighted average reactor temperature estimation for simulation of adiabatic industrial hydrotreaters  

Science Journals Connector (OSTI)

A study on the improvement of the representative operating temperature from the temperature profile of an industrial adiabatic reactor is presented. This temperature is used to simulate the reactor performance by small scale laboratory isothermal reactors. An improved methodology for the estimation of a Weighted Average Bed Temperature (WABT) was elaborated to simulate an industrial multi-bed HDS reactor. The improved WABT, so called Weighted Average Reactor Temperature (WART), was compared with the most usually used WABT in a wide range of operational conditions as well as of kinetic parameters. In case of a multi-bed industrial hydrotreater, where quench zones are located between the beds and the H2 flow rate, which enters each bed, is different, the optimal gas to oil ratio was estimated for the laboratory-scale reactor.

G.D. Stefanidis; G.D. Bellos; N.G. Papayannakos

2005-01-01T23:59:59.000Z

124

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)

125

Averaging Spacetime: Where do we go from here?  

E-Print Network [OSTI]

The construction of an averaged theory of gravity based on Einstein's General Relativity is very difficult due to the non-linear nature of the gravitational field equations. This problem is further exacerbated by the difficulty in defining a mathematically precise covariant averaging procedure for tensor fields over differentiable manifolds. Together, these two ideas have been called the averaging problem for General Relativity. In the first part of the talk, an attempt to review some the various approaches to this problem will be given, highlighting strengths, weaknesses, and commonalities between them. In the second part of the talk, an argument will be made, that if one wishes to develop a well-defined averaging procedure, one may choose to parallel transport along geodesics with respect to the Levi-Cevita connection or, use the Weitzenb\\"ock connection and ensure the transportation is independent of path. The talk concludes with some open questions to generate further discussion.

R. J. van den Hoogen

2010-04-15T23:59:59.000Z

126

U.S. average gasoline price up slightly  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

average retail price for regular gasoline rose slightly to 3.65 a gallon on Monday. That's up a tenth of a penny from a week ago, based on the weekly price survey by the U.S....

127

Fact #671: April 18, 2011 Average Truck Speeds  

Broader source: Energy.gov [DOE]

The Federal Highway Administration studies traffic volume and flow on major truck routes by tracking more than 500,000 trucks. The average speed of trucks on selected interstate highways is between...

128

Abstract Interpretation for Worst and Average Case Analysis  

E-Print Network [OSTI]

energy usage whilst bounding the average number of requests waiting to be served. PRISM is used phase extracts a control flow graph ­ for some classes of language this may already involve an abstract

Di Pierro, Alessandra

129

Weighted Coherence: A More Effective Measure Than Average Coherence  

Science Journals Connector (OSTI)

In this study, we evaluated the effectiveness of the statistic, Weighted Coherence in relation to the average or mean coherence in a particular frequency band after cross- ... using cross-spectral analysis is r...

Vikram Kumar Yeragani; Arindam Barua

2003-12-01T23:59:59.000Z

130

Table 17. Recoverable Coal Reserves and Average Recovery Percentage...  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2012 (million short tons) U.S. Energy Information...

131

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"

132

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

DOE Data Explorer [Office of Scientific and Technical Information (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.

133

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

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

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

134

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

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

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

135

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

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

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

136

1999 FACILITY REPRESENTATIVE CONFERENCE June 21 25, 1999  

Broader source: Energy.gov [DOE]

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...

137

Clostridium ljungdahlii represents a microbial production platform based on syngas  

Science Journals Connector (OSTI)

...represents a microbial production platform based on syngas 10.1073/pnas...novel biotechnological production platform based on syngas and CO 2 /H 2 . Results and Discussion...represents a microbial production platform based on syngas. | Clostridium...

Michael Kpke; Claudia Held; Sandra Hujer; Heiko Liesegang; Arnim Wiezer; Antje Wollherr; Armin Ehrenreich; Wolfgang Liebl; Gerhard Gottschalk; Peter Drre

2010-01-01T23:59:59.000Z

138

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

139

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

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

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

140

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

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

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

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

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

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

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

142

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

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

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%)

143

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

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

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

144

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

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

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

145

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

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

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

146

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

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

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

147

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

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

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

148

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

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

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

149

Average East-West Inclinations of Surface Magnetic Field Lines  

Science Journals Connector (OSTI)

The east-west component of the inclination to the vertical of magnetic field lines of fields measured at the photospheric level is calculated ... and as a function of latitude. These fields represent mostly non-s...

Robert F. Howard

1994-01-01T23:59:59.000Z

150

Student Committee Representatives Guidelines Congratulations on being selected as a student representative to a GSLIS committee! We are  

E-Print Network [OSTI]

Student Committee Representatives Guidelines Congratulations on being selected as a student to your resume or CV. Your job is to represent students to committees and committees to students. You represent the student body to the committee. Your job is to advocate for your fellow students by bringing

Gilbert, Matthew

151

Student Assembly Offices Student Assembly Representatives: There are four representatives per class to the Student Assembly. Their duties are to  

E-Print Network [OSTI]

Student Assembly Offices Student Assembly Representatives: There are four representatives per class to the Student Assembly. Their duties are to: Represent the student body of the Medical College of Wisconsin-section of the student body. Fairly administer and distribute all funds including those designated as Student Activity

152

"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

153

"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

154

Time-average TV holography for vibration fringe analysis  

SciTech Connect (OSTI)

Time-average TV holography is widely used method for vibration measurement. The method generates speckle correlation time-averaged J0 fringes that can be used for full-field qualitative visualization of mode shapes at resonant frequencies of an object under harmonic excitation. In order to map the amplitudes of vibration, quantitative evaluation of the time-averaged fringe pattern is desired. A quantitative evaluation procedure based on the phase-shifting technique used in two beam interferometry has also been adopted for this application with some modification. The existing procedure requires a large number of frames to be recorded for implementation. We propose a procedure that will reduce the number of frames required for the analysis. The TV holographic system used and the experimental results obtained with it on an edge-clamped, sinusoidally excited square aluminium plate sample are discussed.

Kumar, Upputuri Paul; Kalyani, Yanam; Mohan, Nandigana Krishna; Kothiyal, Mahendra Prasad

2009-06-01T23:59:59.000Z

155

Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual  

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

156

Comparison of Average Transport and Dispersion Among a Gaussian, a  

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

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

157

High average power scaleable thin-disk laser  

DOE Patents [OSTI]

Using a thin disk laser gain element with an undoped cap layer enables the scaling of lasers to extremely high average output power values. Ordinarily, the power scaling of such thin disk lasers is limited by the deleterious effects of amplified spontaneous emission. By using an undoped cap layer diffusion bonded to the thin disk, the onset of amplified spontaneous emission does not occur as readily as if no cap layer is used, and much larger transverse thin disks can be effectively used as laser gain elements. This invention can be used as a high average power laser for material processing applications as well as for weapon and air defense applications.

Beach, Raymond J. (Livermore, CA); Honea, Eric C. (Sunol, CA); Bibeau, Camille (Dublin, CA); Payne, Stephen A. (Castro Valley, CA); Powell, Howard (Livermore, CA); Krupke, William F. (Pleasanton, CA); Sutton, Steven B. (Manteca, CA)

2002-01-01T23:59:59.000Z

158

Averaged equations for Josephson junction series arrays with LRC load  

E-Print Network [OSTI]

We derive the averaged equations describing a series array of Josephson junctions shunted by a parallel inductor-resistor-capacitor load. We assume that the junctions have negligable capacitance ($\\beta = 0$), and derive averaged equations which turn out to be completely tractable: in particular the stability of both in-phase and splay states depends on a single parameter, $\\del$. We find an explicit expression for $\\delta$ in terms of the load parameters and the bias current. We recover (and refine) a common claim found in the technical literature, that the in-phase state is stable for inductive loads and unstable for capacitive loads.

Kurt Wiesenfeld; James W. Swift

1994-08-26T23:59:59.000Z

159

An investigation of nonlinear xenon oscillation by method of averaging  

Science Journals Connector (OSTI)

A nonlinear analysis of xenon-temperature controlled nuclear reactor dynamics is presented. The set of equations in question belongs to a general class of rate equations with quadratic nonlinearities. Boundedness of the solutions is examined. The mean value of periodic solutions for the flux is shown to be always less than the equilibrium value. The Bogoliubov's method of averaging as extended by Case is applied to obtain approximate solutions. The mechanism of the existence of relaxation oscillations in the linear stability region is analyzed. Computer calculations are performed and found in good agreement with the approximate solutions obtained by means of the method of averaging.

Yoshiro Asahi; A.Ziya Akcasu

1973-01-01T23:59:59.000Z

160

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

SciTech Connect (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

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

Facility Representative of the Year Award | Department of Energy  

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

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

162

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

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

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

163

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

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

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

164

1Q CY2000, Facility Representative Program Performance Indicators  

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

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

165

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

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

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

166

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

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

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

167

Facility Representative of the Year Award | Department of Energy  

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

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

168

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

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

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

169

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

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

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

170

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

171

Navy Estimated Average Hourly Load Profile by Month (in MW)  

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

Navy Estimated Average Hourly Load Profile by Month (in MW) MONTH HE1 HE2 HE3 HE4 HE5 HE6 HE7 HE8 HE9 HE10 HE11 HE12 HE13 HE14 HE15 HE16 HE17 HE18 HE19 HE20 HE21 HE22 HE23 HE24...

172

Disk-averaged Spectra & light-curves of Earth  

E-Print Network [OSTI]

We are using computer models to explore the observational sensitivity to changes in atmospheric and surface properties, and the detectability of biosignatures, in the globally averaged spectra and light-curves of the Earth. Using AIRS (Atmospheric Infrared Sounder) data, as input for atmospheric and surface properties, we have generated spatially resolved high-resolution synthetic spectra using the SMART radiative transfer model, for a variety of conditions, from the UV to the far-IR (beyond the range of current Earth-based satellite data). We have then averaged over the visible disk for a number of different viewing geometries to quantify the sensitivity to surface types and atmospheric features as a function of viewing geometry, and spatial and spectral resolution. These results have been processed with an instrument simulator to improve our understanding of the detectable characteristics of Earth-like planets as viewed by the first generation extrasolar terrestrial planet detection and characterization missions (Terrestrial Planet Finder/Darwin and Life finder). The wavelength range of our results are modelled over are applicable to both the proposed visible coronograph and mid-infrared interferometer TPF architectures. We have validated this model against disk-averaged observations by the Mars Global Surveyor Thermal Emission Spectrometer (MGS TES). This model was also used to analyze Earth-shine data for detectability of planetary characteristics and biosignatures in disk-averaged spectra.

G. Tinetti; V. S. Meadows; D. Crisp; W. Fong; N. Kiang; E. Fishbein; T. Velusamy; E. Bosc; M. Turnbull

2005-02-11T23:59:59.000Z

173

Averaging of Temporal Memories by Rats Dale N. Swanton  

E-Print Network [OSTI]

Averaging of Temporal Memories by Rats Dale N. Swanton Villanova University Cynthia M. Gooch University of Pennsylvania School of Medicine Matthew S. Matell Villanova University Rats were trained on a mixed fixed-interval schedule in which stimulus A (tone or light) indicated food availability after 10

Matell, Matthew S.

174

IE 361 Module 15 The Average Run Length Concept  

E-Print Network [OSTI]

IE 361 Module 15 The Average Run Length Concept Reading: Section 3.5 of Statistical Quality Assurance Methods for Engineers Prof. Steve Vardeman and Prof. Max Morris Iowa State University Vardeman Electric set of alarm rules to a control charting scheme? The most e¤ective means known for making

Vardeman, Stephen B.

175

October 2010, Facility Representative Qualification Standard Reference Guide  

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

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

176

General Engineer/Physical Scientist (Senior Facility Representative)  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as the Site Managers Senior Facility Representative, and responsible for program management, technical monitoring, advising and evaluating all...

177

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

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

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...

178

Appointment of Contracting Officers and Contracting Officer Representatives  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The Order established procedures governing the selection, appointment and termination of Department of Energy contracting officers and contracting officer representatives. Cancels DOE O 541.1A.

2004-04-21T23:59:59.000Z

179

Determining average bed temperature of nonisothermal fixed-bed hydrotreater  

Science Journals Connector (OSTI)

Employing three catalysts in three parallel pilot-scale fixed-bed reactors, hydrotreating experiments were performed in both isothermal and ascending temperature modes to investigate kinetics and to determine a representative bed temperature. Assuming 1.5th-order for hydrodesulfurization (HDS) and 1st-order for both hydrodenitrogenation (HDN) and mild hydrocracking (MHC), kinetic parameters were obtained from the isothermal mode operation. With the activation energies from isothermal operations, equivalent isothermal temperatures (EITs) in the ascending mode operations were established for specific HDS, HDN and MHC. Employing 19 thermocouple readouts in the catalyst beds and applying an Arrhenius-type rate equation containing the same activation energy, the representative bed temperature was determined. The temperature so determined is called kinetic EIT. The kinetic EIT was found to be the best to represent the nonisothermal bed temperature. The kinetic EIT has been applied to monitoring the catalyst activity in commercial hydrotreating units.

Sok Yui; John Adjaye

2004-01-01T23:59:59.000Z

180

Truth-telling A Representative Johannes Abeler1  

E-Print Network [OSTI]

Truth-telling ­ A Representative Assessment Johannes Abeler1 Anke Becker2 Armin Falk3 University people do report the payoff-maximizing outcome, some report their private informa- tion truthfully or at least do not lie maximally. We measure truth-telling outside the laboratory by calling a representative

Huber, Bernhard A.

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

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

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

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,

182

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

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

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%)"

183

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

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

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

184

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

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

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).

185

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

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

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

186

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

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

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.

187

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

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

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%)"

188

Fluid Flow Model Development for Representative Geologic Media | Department  

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

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

189

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

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

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

190

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

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

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

191

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

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

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

192

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

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

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.

193

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

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

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

194

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

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

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

195

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

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

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

196

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

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

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%)"

197

4Q CY2000, Facility Representative Program Performance Indicators  

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

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

198

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

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

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

199

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

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

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%)"

200

A Multivariate Moving Average Control Chart for Photovoltaic Processes  

E-Print Network [OSTI]

AbstractFor the electrical metrics that describe photovoltaic cell performance are inherently multivariate in nature, use of a univariate, or one variable, statistical process control chart can have important limitations. Development of a comprehensive process control strategy is known to be significantly beneficial to reducing process variability that ultimately drives up the manufacturing cost photovoltaic cells. The multivariate moving average or MMA chart, is applied to the electrical metrics of photovoltaic cells to illustrate the improved sensitivity on process variability this method of control charting offers. The result show the ability of the MMA chart to expand to as any variables as needed, suggests an application with multiple photovoltaic electrical metrics being used in concert to determine the processes state of control. KeywordsThe multivariate moving average control chart, Photovoltaic processes control, Multivariate system. I.

Chunchom Pongchavalit

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

Yearly-averaged daily usefulness efficiency of heliostat surfaces  

SciTech Connect (OSTI)

An analytical expression for estimating the instantaneous usefulness efficiency of a heliostat surface is obtained. A systematic procedure is then introduced to calculate the usefulness efficiency even when overlapping of blocking and shadowing on a heliostat surface exist. For possible estimation of the reflected energy from a given field, the local yearly-averaged daily usefulness efficiency is calculated. This efficiency is found to depend on site latitude angle, radial distance from the tower measured in tower heights, heliostat position azimuth angle and the radial spacing between heliostats. Charts for the local yearly-averaged daily usefulness efficiency are presented for {phi} = 0, 15, 30, and 45 N. These charts can be used in calculating the reflected radiation from a given cell. Utilization of these charts is demonstrated.

Elsayed, M.M.; Habeebuallah, M.B.; Al-Rabghi, O.M. (King Abdulaziz Univ., Jeddah (Saudi Arabia))

1992-08-01T23:59:59.000Z

202

A holographic proof of the averaged null energy condition  

E-Print Network [OSTI]

The averaged null energy conditions (ANEC) states that, along a complete null curve, the negative energy fluctuations of a quantum field must be balanced by positive energy fluctuations. We use the AdS/CFT correspondence to prove the ANEC for a class of strongly coupled conformal field theories in flat spacetime. A violation of the ANEC in the field theory would lead to acausal propagation of signals in the bulk.

William R. Kelly; Aron C. Wall

2014-11-03T23:59:59.000Z

203

Average dynamics of a finite set of coupled phase oscillators  

SciTech Connect (OSTI)

We study the solutions of a dynamical system describing the average activity of an infinitely large set of driven coupled excitable units. We compared their topological organization with that reconstructed from the numerical integration of finite sets. In this way, we present a strategy to establish the pertinence of approximating the dynamics of finite sets of coupled nonlinear units by the dynamics of its infinitely large surrogate.

Dima, Germn C., E-mail: gdima@df.uba.ar; Mindlin, Gabriel B. [Laboratorio de Sistemas Dinmicos, IFIBA y Departamento de Fsica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabelln 1, Ciudad Universitaria, Buenos Aires (Argentina)] [Laboratorio de Sistemas Dinmicos, IFIBA y Departamento de Fsica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabelln 1, Ciudad Universitaria, Buenos Aires (Argentina)

2014-06-15T23:59:59.000Z

204

Better than Average? - Green Building Certification in International Projects  

E-Print Network [OSTI]

8th International Conference for Enhanced Building Operations - ICEBO?08 Conference Center of the Federal Ministry of Economics and Technology Berlin, October 20 - 22, 2008 Dipl.-Ing. Oliver Baumann Ebert & Baumann Consulting Engineers, Inc.... An Enterprise of the Ebert-Consulting Group 1004 Pennsylvania Avenue, SE Washington, D.C. 20003, USA 00 12 02/ 6 08 - 13 34 o.baumann@eb-engineers.com Better than Average? - Green Building Certification in International Projects Green Building...

Baumann, O.

2008-01-01T23:59:59.000Z

205

RENORMALIZATION TECHNIQUES AND MEAN SQUARE AVERAGING, I. DETERMINISTIC EQUATIONS  

Science Journals Connector (OSTI)

...U2 - 1)u' by a linear expression clu + c2u' and using a time average, we find that...equation to (4.1) is given by U" + C2U' + U = 0, rT where C2 = lim f (a2 cos2...0, (4.5) we write g(u) = clu + c2u', where C, = lim g(u)udt/ f u...

Richard Bellman; John M. Richardson

1961-01-01T23:59:59.000Z

206

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

207

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**

208

High Average Power, High Energy Short Pulse Fiber Laser System  

SciTech Connect (OSTI)

Recently continuous wave fiber laser systems with output powers in excess of 500W with good beam quality have been demonstrated [1]. High energy, ultrafast, chirped pulsed fiber laser systems have achieved record output energies of 1mJ [2]. However, these high-energy systems have not been scaled beyond a few watts of average output power. Fiber laser systems are attractive for many applications because they offer the promise of high efficiency, compact, robust systems that are turn key. Applications such as cutting, drilling and materials processing, front end systems for high energy pulsed lasers (such as petawatts) and laser based sources of high spatial coherence, high flux x-rays all require high energy short pulses and two of the three of these applications also require high average power. The challenge in creating a high energy chirped pulse fiber laser system is to find a way to scale the output energy while avoiding nonlinear effects and maintaining good beam quality in the amplifier fiber. To this end, our 3-year LDRD program sought to demonstrate a high energy, high average power fiber laser system. This work included exploring designs of large mode area optical fiber amplifiers for high energy systems as well as understanding the issues associated chirped pulse amplification in optical fiber amplifier systems.

Messerly, M J

2007-11-13T23:59:59.000Z

209

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

210

Facility Representative Program Performance Indicators for October - December 2010  

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

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:

211

Radionuclide Interaction and Transport in Representative Geologic Media |  

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

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,

212

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

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

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

213

WIPP Representative Selected For National Environmental Justice Advisory  

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

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

214

Reference Buildings by Climate Zone and Representative City: 6A  

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

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,

215

WIPP Representative Selected For National Environmental Justice Advisory  

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

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

216

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

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

217

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

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

1A Miami, Florida Reference Buildings by Climate Zone and Representative City: 1A Miami, Florida In addition to the ZIP file for each building type, you can directly view the...

218

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

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

B Boulder, Colorado Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado In addition to the ZIP file for each building type, you can directly view the...

219

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

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

A Chicago, Illinois Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois In addition to the ZIP file for each building type, you can directly view the...

220

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

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

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

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

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

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

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...

222

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

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

A Baltimore, Maryland Reference Buildings by Climate Zone and Representative City: 4A Baltimore, Maryland In addition to the ZIP file for each building type, you can directly view...

223

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

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

C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington In addition to the ZIP file for each building type, you can directly view...

224

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

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

A Atlanta, Georgia Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia In addition to the ZIP file for each building type, you can directly view the...

225

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

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

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...

226

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

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

B Las Vegas, Nevada Reference Buildings by Climate Zone and Representative City: 3B Las Vegas, Nevada In addition to the ZIP file for each building type, you can directly view the...

227

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

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

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...

228

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

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

B Helena, Montana Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana In addition to the ZIP file for each building type, you can directly view the...

229

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

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

C San Francisco, California Reference Buildings by Climate Zone and Representative City: 3C San Francisco, California In addition to the ZIP file for each building type, you can...

230

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

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

B Los Angeles, California Reference Buildings by Climate Zone and Representative City: 3B Los Angeles, California In addition to the ZIP file for each building type, you can...

231

DOE/Advisory Board Recognize Service of Student Representatives...  

Energy Savers [EERE]

Board Recognize Service of Student Representatives April 16, 2014 - 12:58pm Addthis The Oak Ridge Site Specific Advisory Board (ORSSAB) and the U.S. Department of Energy's (DOE)...

232

August 20, 2014 meeting with DOE representatives regarding the...  

Energy Savers [EERE]

August 20, 2014 meeting with DOE representatives regarding the remand of the DOE Direct Final Rule as it relates to efficiency standards for non-weatherized gas furnaces August 20,...

233

*Official Academic Senate Representative Dean of UC Davis Extension  

E-Print Network [OSTI]

*Official Academic Senate Representative Dean of UC Davis Extension Recruitment Advisory Committee, Health Sciences, Public Policy & Business Programs, UC Davis Extension Chloe Fox Undergraduate Student, International Agricultural Development; Outreach Coordinator, Program for International Energy Technologies

Schladow, S. Geoffrey

234

Appointment of Contracting Officers and Contracting Officer Representatives  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

To establish procedures governing the selection, appointment, and termination of contracting officers and for the appointment of contracting officer representatives. Cancels DOE Order 4200.4A. Canceled by DOE O 541.1A.

1996-04-30T23:59:59.000Z

235

W&M Student Elected to Represent American Physical Society's...  

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

W&M Student Elected to Represent American Physical Society's Graduate Student Forum V Gray Valerie Gray, a graduate student at The College of William and Mary and a researcher at...

236

A representative individual from Arrovian aggregation of parametric individual utilities  

E-Print Network [OSTI]

A representative individual from Arrovian aggregation of parametric individual utilities social choice theory Assumptions Assumption on decisive coalitions Assumptions on individual utility functions Assumptions on the social welfare function Results The socially acceptable utility function

237

2Q CY2007, Facility Representative Program Performance Indicators  

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

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 %)

238

Hilbert Space Average Method and adiabatic quantum search  

E-Print Network [OSTI]

We discuss some aspects related to the so-called Hilbert space Average Method, as an alternative to describe the dynamics of open quantum systems. First we present a derivation of the method which does not make use of the algebra satisfied by the operators involved in the dynamics, and extend the method to systems subject to a Hamiltonian that changes with time. Next we examine the performance of the adiabatic quantum search algorithm with a particular model for the environment. We relate our results to the criteria discussed in the literature for the validity of the above-mentioned method for similar environments.

A. Perez

2009-01-19T23:59:59.000Z

239

W. R. Johnson An Average-Atom Model  

E-Print Network [OSTI]

W. R. Johnson An Average-Atom Model h0 - Z r + V (r) a(r) = aa(r) potential: V (r) = (r )/R d - (3) d 1 + exp[( - µ)/kT ] P 2 (r) norm: Z = R 0 4r 2 (r) dr ­ ND ­ 04/02 1 #12;W. R. Johnson Electron-Fermi contributions to continuum ­ ND ­ 04/02 2 #12;W. R. Johnson Phase shifts: Al - T=10eV 0 1 2 3 4 5 6 7 8 electron

Johnson, Walter R.

240

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

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

Simulating a Nationally Representative Housing Sample Using EnergyPlus  

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

242

Average System Cost Methodology : Administrator's Record of Decision.  

SciTech Connect (OSTI)

Significant features of average system cost (ASC) methodology adopted are: retention of the jurisdictional approach where retail rate orders of regulartory agencies provide primary data for computing the ASC for utilities participating in the residential exchange; inclusion of transmission costs; exclusion of construction work in progress; use of a utility's weighted cost of debt securities; exclusion of income taxes; simplification of separation procedures for subsidized generation and transmission accounts from other accounts; clarification of ASC methodology rules; more generous review timetable for individual filings; phase-in of reformed methodology; and each exchanging utility must file under the new methodology within 20 days of implementation by the Federal Energy Regulatory Commission of the ten major participating utilities, the revised ASC will substantially only affect three. (PSB)

United States. Bonneville Power Administration.

1984-06-01T23:59:59.000Z

243

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

244

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

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

245

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

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

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

246

SUBJECT: Guidance on Retention of Facility Representative Technical  

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

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

247

Facility Representative Program Performance Indicators for October-December 2011  

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

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

248

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

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

249

Facility Representative Program Performance Indicators for April - June 2011  

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

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).

250

4Q CY2007, Facility Representative Program Performance Indicators  

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

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%)

251

Landscape Characterization and Representativeness Analysis for Understanding Sampling Network Coverage  

SciTech Connect (OSTI)

Sampling networks rarely conform to spatial and temporal ideals, often comprised of network sampling points which are unevenly distributed and located in less than ideal locations due to access constraints, budget limitations, or political conflict. Quantifying the global, regional, and temporal representativeness of these networks by quantifying the coverage of network infrastructure highlights the capabilities and limitations of the data collected, facilitates upscaling and downscaling for modeling purposes, and improves the planning efforts for future infrastructure investment under current conditions and future modeled scenarios. The work presented here utilizes multivariate spatiotemporal clustering analysis and representativeness analysis for quantitative landscape characterization and assessment of the Fluxnet, RAINFOR, and ForestGEO networks. Results include ecoregions that highlight patterns of bioclimatic, topographic, and edaphic variables and quantitative representativeness maps of individual and combined networks.

Maddalena, Damian; Hoffman, Forrest; Kumar, Jitendra; Hargrove, William

2014-08-01T23:59:59.000Z

252

Landscape Characterization and Representativeness Analysis for Understanding Sampling Network Coverage  

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

Sampling networks rarely conform to spatial and temporal ideals, often comprised of network sampling points which are unevenly distributed and located in less than ideal locations due to access constraints, budget limitations, or political conflict. Quantifying the global, regional, and temporal representativeness of these networks by quantifying the coverage of network infrastructure highlights the capabilities and limitations of the data collected, facilitates upscaling and downscaling for modeling purposes, and improves the planning efforts for future infrastructure investment under current conditions and future modeled scenarios. The work presented here utilizes multivariate spatiotemporal clustering analysis and representativeness analysis for quantitative landscape characterization and assessment of the Fluxnet, RAINFOR, and ForestGEO networks. Results include ecoregions that highlight patterns of bioclimatic, topographic, and edaphic variables and quantitative representativeness maps of individual and combined networks.

Maddalena, Damian; Hoffman, Forrest; Kumar, Jitendra; Hargrove, William

253

June 21, 1999 Memo, Facility Representative Program Status  

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

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

254

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

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

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

255

An Exact Thickness-Weighted Average Formulation of the Boussinesq Equations WILLIAM R. YOUNG  

E-Print Network [OSTI]

An Exact Thickness-Weighted Average Formulation of the Boussinesq Equations WILLIAM R. YOUNG application of thickness-weighted averaging to the Boussinesq equa- tions of motion results in averaged

Young, William R.

256

Wave Energy Resources Representative Sites Around the Hawaiian Islands  

E-Print Network [OSTI]

Wave Energy Resources for Representative Sites Around the Hawaiian Islands Prepared by: Luis A Foreword This report provides wave energy resource information required to select coastal segments for specific wave-energy-conversion (WEC) technology and to initiate engineering design incorporating

257

Representing and encoding plant architecture: A review Christophe Godin*  

E-Print Network [OSTI]

Review Representing and encoding plant architecture: A review Christophe Godin* CIRAD, Programme de and topological organisation of these components defines the plant architecture. Before the early 1970's-performance computers have become available for plant growth analysis and simulation, trig- gering the development

Paris-Sud XI, Université de

258

A Mathematical Programming Model for Scheduling Pharmaceutical Sales Representatives  

E-Print Network [OSTI]

% to nearly 80,000 from 50,000, and that visits by sales representatives to doctors' offices increased ten. In the next section, we present some background material relevant to this research. Then, in Section 3, we instances in Section 4. We present concluding remarks in Section 5. 2. Background For multi

Gautam, Natarajan

259

Representing SN1 Reaction Mechanism Using the Qualitative Process Theory  

E-Print Network [OSTI]

nucleophilic substitution) and the SN2 (bimolecular nucleophilic substitution). Our intention is not to trainRepresenting SN1 Reaction Mechanism Using the Qualitative Process Theory Alicia Tang Y domain remains widely open. The application of Qualitative Process Theory (QPT) in organic reaction

Bailey-Kellogg, Chris

260

Appointment of Contracting Officers and Contracting Officer's Representatives  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

To establish procedures governing the selection, appointment, and termination of contracting officers and for the appointment of contracting officer's representatives. To ensure that only trained and qualified procurement and financial assistance professionals, within the scope of this Order, serve as contracting officers. Cancels DOE O 541.1. Canceled by DOE O 541.1B.

2000-10-27T23:59:59.000Z

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.


261

Anthropogenic Biomes ver. 1 Anthropogenic biomes represent heterogeneous  

E-Print Network [OSTI]

defined by population density and vegetation cover. The 21 biomes are grouped into six major categoriesAnthropogenic Biomes ver. 1 Africa Anthropogenic biomes represent heterogeneous landscape mosaics: Populated irrigated cropland 34: Populated rainfed cropland 35: Remote croplands 41: Residential rangelands

Columbia University

262

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

263

E-Print Network 3.0 - averaged pulsar profiles Sample Search...  

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

for: averaged pulsar profiles Page: << < 1 2 3 4 5 > >> 1 astroph9911319 Pulsar Astronomy ---2000 and Beyond Summary: with higher than average surface dipole magnetic fields....

264

E-Print Network 3.0 - average power ratio Sample Search Results  

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

a wind turbine Summary: of pairs of poles over the average power is also studied. Index Terms-- average wind power, battery... charging, permanent magnet synchronous machine. I....

265

E-Print Network 3.0 - annual average daily traffic Sample Search...  

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

Data Systems 2000. Annual Average Daily Truck Traffic on the California State... Lockout and Non-Lockout Weekdays Average Daily Traffic Volume (vehday) All Cars Trucks ......

266

E-Print Network 3.0 - average daily traffic Sample Search Results  

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

Data Systems 2000. Annual Average Daily Truck Traffic on the California State... Lockout and Non-Lockout Weekdays Average Daily Traffic Volume (vehday) All Cars Trucks...

267

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

268

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

269

Ensemble bayesian model averaging using markov chain Monte Carlo sampling  

SciTech Connect (OSTI)

Bayesian model averaging (BMA) has recently been proposed as a statistical method to calibrate forecast ensembles from numerical weather models. Successful implementation of BMA however, requires accurate estimates of the weights and variances of the individual competing models in the ensemble. In their seminal paper (Raftery etal. Mon Weather Rev 133: 1155-1174, 2(05)) has recommended the Expectation-Maximization (EM) algorithm for BMA model training, even though global convergence of this algorithm cannot be guaranteed. In this paper, we compare the performance of the EM algorithm and the recently developed Differential Evolution Adaptive Metropolis (DREAM) Markov Chain Monte Carlo (MCMC) algorithm for estimating the BMA weights and variances. Simulation experiments using 48-hour ensemble data of surface temperature and multi-model stream-flow forecasts show that both methods produce similar results, and that their performance is unaffected by the length of the training data set. However, MCMC simulation with DREAM is capable of efficiently handling a wide variety of BMA predictive distributions, and provides useful information about the uncertainty associated with the estimated BMA weights and variances.

Vrugt, Jasper A [Los Alamos National Laboratory; Diks, Cees G H [NON LANL; Clark, Martyn P [NON LANL

2008-01-01T23:59:59.000Z

270

Livermore Site Office Facility Representative Program Self-Assessment  

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

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

271

Processes, data structures, and apparatuses for representing knowledge  

DOE Patents [OSTI]

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

272

Many-Body Problem in Quantum Statistical Mechanics. IV. Formulation in Terms of Average Occupation Number in Momentum Space  

Science Journals Connector (OSTI)

Starting from Rules A and B of a previous paper (I), it is shown that the grand partition function can be evaluated in terms of the statistical averages of the occupation number in momentum space. The final formulation is in terms of a simple variational principle. The procedure represents a concise and complete separation of the effect of the Bose-Einstein or Fermi-Dirac statistical character of the particles from the dynamical problem. In the case of Bose statistics, this formulation makes possible a systematic computation of all thermodynamic functions near the Bose-Einstein transition point in the gaseous phase. Applications to a system of hard spheres are discussed.

T. D. Lee and C. N. Yang

1960-01-01T23:59:59.000Z

273

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

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

274

Domain assignments for FSSP representative set using DomainParser  

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

275

Defining And Characterizing Sample Representativeness For DWPF Melter Feed Samples  

SciTech Connect (OSTI)

Representative sampling is important throughout the Defense Waste Processing Facility (DWPF) process, and the demonstrated success of the DWPF process to achieve glass product quality over the past two decades is a direct result of the quality of information obtained from the process. The objective of this report was to present sampling methods that the Savannah River Site (SRS) used to qualify waste being dispositioned at the DWPF. The goal was to emphasize the methodology, not a list of outcomes from those studies. This methodology includes proven methods for taking representative samples, the use of controlled analytical methods, and data interpretation and reporting that considers the uncertainty of all error sources. Numerous sampling studies were conducted during the development of the DWPF process and still continue to be performed in order to evaluate options for process improvement. Study designs were based on use of statistical tools applicable to the determination of uncertainties associated with the data needs. Successful designs are apt to be repeated, so this report chose only to include prototypic case studies that typify the characteristics of frequently used designs. Case studies have been presented for studying in-tank homogeneity, evaluating the suitability of sampler systems, determining factors that affect mixing and sampling, comparing the final waste glass product chemical composition and durability to that of the glass pour stream sample and other samples from process vessels, and assessing the uniformity of the chemical composition in the waste glass product. Many of these studies efficiently addressed more than one of these areas of concern associated with demonstrating sample representativeness and provide examples of statistical tools in use for DWPF. The time when many of these designs were implemented was in an age when the sampling ideas of Pierre Gy were not as widespread as they are today. Nonetheless, the engineers and statisticians used carefully thought out designs that systematically and economically provided plans for data collection from the DWPF process. Key shared features of the sampling designs used at DWPF and the Gy sampling methodology were the specification of a standard for sample representativeness, an investigation that produced data from the process to study the sampling function, and a decision framework used to assess whether the specification was met based on the data. Without going into detail with regard to the seven errors identified by Pierre Gy, as excellent summaries are readily available such as Pitard [1989] and Smith [2001], SRS engineers understood, for example, that samplers can be biased (Gy?s extraction error), and developed plans to mitigate those biases. Experiments that compared installed samplers with more representative samples obtained directly from the tank may not have resulted in systematically partitioning sampling errors into the now well-known error categories of Gy, but did provide overall information on the suitability of sampling systems. Most of the designs in this report are related to the DWPF vessels, not the large SRS Tank Farm tanks. Samples from the DWPF Slurry Mix Evaporator (SME), which contains the feed to the DWPF melter, are characterized using standardized analytical methods with known uncertainty. The analytical error is combined with the established error from sampling and processing in DWPF to determine the melter feed composition. This composition is used with the known uncertainty of the models in the Product Composition Control System (PCCS) to ensure that the wasteform that is produced is comfortably within the acceptable processing and product performance region. Having the advantage of many years of processing that meets the waste glass product acceptance criteria, the DWPF process has provided a considerable amount of data about itself in addition to the data from many special studies. Demonstrating representative sampling directly from the large Tank Farm tanks is a difficult, if not unsolvable enterprise due to li

Shine, E. P.; Poirier, M. R.

2013-10-29T23:59:59.000Z

276

Facility Representative Program: Criteria Review and Approach Document  

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

277

,"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

278

,"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

279

4Q CY2008, Facility Representative Program Performance Indicators  

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

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

280

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

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


281

3Q CY2007, Facility Representative Program Performance Indicators  

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

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

282

Facility Representative Program Assessment Criteria, Review, and Approach Document (CRAD)  

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

283

2Q CY2004, Facility Representative Program Performance Indicators  

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

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

284

1Q CY2010, Facility Representative Program Performance Indicators  

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

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:

285

Use of S-. alpha. diagram for representing tokamak equilibrium  

SciTech Connect (OSTI)

A use of the S-{alpha} diagram is proposed as a tool for representing the plasma equilibrium with a qualitative characterization of its stability through pattern recognition. The diagram is an effective tool for visually presenting the relationship between the shear and dimensionless pressure gradient of an equilibrium. In the PBX-M tokamak, an H-mode operating regime with high poloidal {beta} and L-mode regime with high toroidal {beta}, obtained using different profile modification techniques, are found to have distinct S-{alpha} trajectory patterns. Pellet injection into a plasma in the H-mode regime with high toroidal {beta}, obtained using different profile modification techniques, are found to have distinct S-{alpha} trajectory patterns. Pellet injection into a plasma in the H-mode regime results in favorable qualities of both regimes. The {beta} collapse process and ELM event also manifest themselves as characteristic changes in the S-{alpha} pattern.

Takahashi, H.; Chance, M.; Kessel, C.; LeBlanc, B.; Manickam, J.; Okabayashi, M.

1991-05-01T23:59:59.000Z

286

DOE-STD-1063-2000 - Facility Representatives  

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

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

287

SIGNATURE O F AGENCY REPRESENTATIVE NATIONAL ENERGY STRATEGY  

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

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

288

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

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

289

Fact #715: February 20, 2012 The Average Age of Light Vehicles Continues to Rise  

Broader source: Energy.gov [DOE]

The average age for cars and light trucks continues to rise as consumers hold onto their vehicles longer. Between 1995 and 2011, the average age for cars increased by 32% from 8.4 years to 11.1...

290

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

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

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...

291

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

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

292

Optical Properties of Plasmas Based on an Average-Atom Walter Johnson, Notre Dame University  

E-Print Network [OSTI]

Optical Properties of Plasmas Based on an Average-Atom Model Walter Johnson, Notre Dame University of Plasmas Based on an Average-Atom Model Walter Johnson, Notre Dame University Claude Guet, CEA/DAM Ile de of Plasmas Based on an Average-Atom Model Walter Johnson, Notre Dame University Claude Guet, CEA/DAM Ile de

Johnson, Walter R.

293

A Structural Analysis of Vehicle Design Responses to Corporate Average Fuel Economy Policy  

E-Print Network [OSTI]

sensitive to fuel prices than to CAFE standards, with the 2007 average fuel price implying that current CAFE09-0588 A Structural Analysis of Vehicle Design Responses to Corporate Average Fuel Economy Policy, Michalek, and Hendrickson 1 ABSTRACT The U.S. Corporate Average Fuel Economy (CAFE) regulations, which aim

Michalek, Jeremy J.

294

2Q CY2009, Facility Representative Program Performance Indicators  

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

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

295

Greening the U.S. House of Representatives  

SciTech Connect (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

296

A Subbasin-based framework to represent land surface processes in an Earth System Model  

SciTech Connect (OSTI)

Realistically representing spatial heterogeneity and lateral land surface processes within and between modeling units in earth system models is important because of their implications to surface energy and water exchange. The traditional approach of using regular grids as computational units in land surface models and earth system models may lead to inadequate representation of lateral movements of water, energy and carbon fluxes, especially when the grid resolution increases. Here a new subbasin-based framework is introduced in the Community Land Model (CLM), which is the land component of the Community Earth System Model (CESM). Local processes are represented assuming each subbasin as a grid cell on a pseudo grid matrix with no significant modifications to the existing CLM modeling structure. Lateral routing of water within and between subbasins is simulated with the subbasin version of a recently-developed physically based routing model, Model for Scale Adaptive River Routing (MOSART). As an illustration, this new framework is implemented in the topographically diverse region of the U.S. Pacific Northwest. The modeling units (subbasins) are delineated from high-resolution Digital Elevation Model while atmospheric forcing and surface parameters are remapped from the corresponding high resolution datasets. The impacts of this representation on simulating hydrologic processes are explored by comparing it with the default (grid-based) CLM representation. In addition, the effects of DEM resolution on parameterizing topography and the subsequent effects on runoff processes are investigated. Limited model evaluation and comparison showed that small difference between the averaged forcing can lead to more significant difference in the simulated runoff and streamflow because of nonlinear horizontal processes. Topographic indices derived from high resolution DEM may not improve the overall water balance, but affect the partitioning between surface and subsurface runoff. More systematic analyses are needed to determine the relative merits of the subbasin representation compared to the commonly used grid-based representation, especially when land surface models are approaching higher resolutions.

Tesfa, Teklu K.; Li, Hongyi; Leung, Lai-Yung R.; Huang, Maoyi; Ke, Yinghai; Sun, Yu; Liu, Ying

2014-05-20T23:59:59.000Z

297

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

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

298

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

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

299

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

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

300

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

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

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

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

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

302

Representing Cloud Processing of Aerosol in Numerical Models  

SciTech Connect (OSTI)

The satellite imagery in Figure 1 provides dramatic examples of how aerosol influences the cloud field. Aerosol from ship exhaust can serve as nucleation centers in otherwise cloud-free regions, forming ship tracks (top image), or can enhance the reflectance/albedo in already cloudy regions. This image is a demonstration of the first indirect effect, in which changes in aerosol modulate cloud droplet radius and concentration, which influences albedo. It is thought that, through the effects it has on precipitation (drizzle), aerosol can also affect the structure and persistence of planetary boundary layer (PBL) clouds. Regions of cellular convection, or open pockets of cloudiness (bottom image) are thought to be remnants of strongly drizzling PBL clouds. Pockets of Open Cloudiness (POCs) (Stevens et al. 2005) or Albrecht's ''rifts'' are low cloud fraction regions characterized by anomalously low aerosol concentrations, implying they result from precipitation. These features may in fact be a demonstration of the second indirect effect. To accurately represent these clouds in numerical models, we have to treat the coupled cloud-aerosol system. We present the following series of mesoscale and large eddy simulation (LES) experiments to evaluate the important aspects of treating the coupled cloud-aerosol problem. 1. Drizzling and nondrizzling simulations demonstrate the effect of drizzle on a mesoscale forecast off the California coast. 2. LES experiments with explicit (bin) microphysics gauge the relative importance of the shape of the aerosol spectrum on the 3D dynamics and cloud structure. 3. Idealized mesoscale model simulations evaluate the relative roles of various processes, sources, and sinks.

Mechem, D.B.; Kogan, Y.L.

2005-03-18T23:59:59.000Z

303

,"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

304

,"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"

305

,"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

306

,"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

307

,"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

308

,"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

309

Response functions for multicomponent plasmas. II. Velocity-average approximation and dynamical mean-field theory for strong coupling  

Science Journals Connector (OSTI)

We establish the multispecies generalization of the velocity-average formalism for the calculation of plasma response functions at arbitrary values of the coupling. We use a set of pseudopotentials rather than the bare Coulomb potential to represent the interaction between the particles in order to describe quantum effects due to the formation of bound states, diffraction, inner-shell-electron exchange, etc. The result is a self-consistent integral equation for the partial response functions. In the weak-coupling limit the calculation can be carried out and the outcome compared with the result of the exact perturbation-theoretical calculations: in the long-wavelength k=0 limit they are in total agreement.

Hong Zhang and G. Kalman

1992-04-15T23:59:59.000Z

310

Examination of Hydrate Formation Methods: Trying to Create Representative Samples  

SciTech Connect (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

311

Vehicle Technologies Office: Fact #803: November 11, 2013 Average Number of  

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

312

Matter seen at many scales and the geometry of averaging in relativistic cosmology  

E-Print Network [OSTI]

We investigate the scale-dependence of Eulerian volume averages of scalar functions on Riemannian three-manifolds. We propose a complementary view of a Lagrangian scaling of variables as opposed to their Eulerian averaging on spatial domains. This program explains rigorously the origin of the Ricci deformation flow for the metric, a flow which, on heuristic grounds, has been already suggested as a possible candidate for averaging the initial data set for cosmological spacetimes.

Thomas Buchert; Mauro Carfora

2001-01-17T23:59:59.000Z

313

Vibration measurement by the time-averaged electronic speckle pattern interferometry methods  

Science Journals Connector (OSTI)

Three different image-processing methods based on the time-averaged technique were compared by the electronic speckle pattern interferometry (ESPI) technique for vibration measurement....

Wang, Wei-Chung; Hwang, Chi-Hung; Lin, Shu-Yu

1996-01-01T23:59:59.000Z

314

Fact #851 December 15, 2014 The Average Number of Gears used...  

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

trucks. Note: Based on production. 2014 production data are preliminary. Fact 851 Dataset Supporting Information Average Number of Gears in New Cars and Light Trucks Model...

315

E-Print Network 3.0 - average formation length Sample Search...  

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

is reported... independently by each robot by averaging the x and y positions of all the robots involved in the formation. Each... maintenance. Three performance metrics are...

316

Table N8.3. Average Prices of Purchased Electricity, Natural...  

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

3. Average Prices of Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased...

317

E-Print Network 3.0 - average angular momentum Sample Search...  

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

T 1 angular momentum given bulk plasma a single ensemble-average particle... minority ion-cyclotron heating, even though process ... Source: Princeton Plasma Physics Laboratory,...

318

E-Print Network 3.0 - average-climate basis non-audited Sample...  

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

and species- Table 2 Average climate variables for domains currently... species or ecosystem services. Climate-dynamic domains provide an objective ... Source: Hoffman,...

319

Vibration measurement using phase-shifting time-average holographic interferometry  

Science Journals Connector (OSTI)

Computer image processing techniques for the measurement of vibration amplitude are presented, which utilize phase-shifted time-average holographic interferograms. The calculation of...

Nakadate, Suezou

1986-01-01T23:59:59.000Z

320

E-Print Network 3.0 - area average temperature Sample Search...  

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

and Fisheries Sciences Collection: Environmental Sciences and Ecology 24 The Greenhouse Effect Temperature Equilibrium Summary: - it is neither heating nor cooling on average....

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

E-Print Network 3.0 - average resonance neutron Sample Search...  

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

barns) (Figure 1) covering four average lethargy steps... Verification of Neutron Phenomenology in Lead and Transmutation by Adiabatic Resonance Crossing in Accelerator... and...

322

Early Clinical Outcomes Demonstrate Preserved Cognitive Function in Children With Average-Risk Medulloblastoma When Treated With Hyperfractionated Radiation Therapy  

SciTech Connect (OSTI)

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

323

"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"

324

Reynolds-Averaged Navier-Stokes Simulation of a 2D Circulation Control Wind Tunnel Experiment  

E-Print Network [OSTI]

Reynolds-Averaged Navier-Stokes Simulation of a 2D Circulation Control Wind Tunnel Experiment Brian airfoil. 2D and 3D simulation results are compared to a circulation control wind tunnel test conducted simulations are performed using a Reynolds-averaged Navier-Stokes (RANS) flow solver for a circulation control

Frey, Pascal

325

A spatiotemporal auto-regressive moving average model for solar radiation  

E-Print Network [OSTI]

1). Solar radiation, averaged over ten minute intervals, was recorded at each site for two yearsA spatiotemporal auto-regressive moving average model for solar radiation C.A. Glasbey and D, is important in many hydrological, agricultural and energy contexts. To assess solar energy potential, data

Stone, J. V.

326

Innovative reliability allocation using the maximal entropy ordered weighted averaging method  

Science Journals Connector (OSTI)

Reliability allocation is one of the most important factors to consider when determining the reliability and competitiveness of a product. The feasibility-of-objectives (FOO) technique has become the current standard for assessing reliability designs ... Keywords: Average weighting allocation method, Feasibility-of-objectives technique, Maximal entropy ordered weighted averaging, Reliability allocation

Yung-Chia Chang; Kuie-Hu Chang; Cheng-Shih Liaw

2009-11-01T23:59:59.000Z

327

ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM GUILLAUME BAL  

E-Print Network [OSTI]

ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM MEDIA GUILLAUME BAL Abstract. We consider the stabilization (self-averaging) and destabilization of the energy of waves propagating in random media transport equations for arbitrary statistical moments of the wave field is used to show that wave energy

Bal, Guillaume

328

The kernel average for two convex functions and its application to ...  

E-Print Network [OSTI]

May 9, 2007 ... Definition 1.1 (kernel average) Let f1,f2,g ? ?(X), ?1 + ?2 = 1 with ?1,?2 > 0 ... We call this the average of f1 and f2 with respect to the kernel g or...

2007-05-09T23:59:59.000Z

329

Morgantown Cost of Living Exceeds National Average By Eric Bowen, Research Associate  

E-Print Network [OSTI]

1 Morgantown Cost of Living Exceeds National Average By Eric Bowen, Research Associate Tess Meinert, Research Associate John Deskins, Ph.D., Director Overview The overall cost of living in Morgantown was 5. Morgantown's higher-than-average cost of living is primarily driven by housing costs. The city falls below

Mohaghegh, Shahab

330

A Time-AverageModel of the RF PlasmaSheath Demetre J, Economou.3  

E-Print Network [OSTI]

A Time-AverageModel of the RF PlasmaSheath Demetre J, Economou.3 Department of Chemical Engineering 97077 Richard C. Alkire* Department of Chemical Engineering, University of Illinois, Urbana, Illinois 6t801 ABSTRACT A time-average model of the RF plasma sheath was developed. The ion "fluid" equations

Economou, Demetre J.

331

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 to 3.93 a gallon on Monday. That's up 2 ...

332

Lagrangian Formulation of Relativistic Particle Average Motion in a Laser Field of Arbitrary Intensity  

SciTech Connect (OSTI)

The Lagrangian and Hamiltonian functions describing average motion of a relativistic particle under the action of intensive high-frequency electromagnetic radiation are obtained. In weak, low-frequency background fields, such a particle on average drifts with an effective, relativistically invariant mass, which depends on the intensity of the electromagnetic field.

I.Y. Dodin; N.J. Fisch; G.M. Fraiman

2003-02-06T23:59:59.000Z

333

ROBUSTNESS OF ISS SYSTEMS TO INPUTS WITH LIMITED MOVING AVERAGE, WITH APPLICATION TO SPACECRAFT  

E-Print Network [OSTI]

. Cybernetics, O. S. Bragstads plass 2D, NTNU, 7491 Trondheim, NORWAY bUniv. Paris Sud 11 - L2S - EECI - Sup to a class of signals with bounded average-energy, which encompasses the typical disturbances acting on space, energy, average energy, etc.) are typ- ically available. These perturbing signals may have diverse

Boyer, Edmond

334

"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"

335

Correction for Kpke et al., Clostridium ljungdahlii represents a microbial production platform based on syngas  

Science Journals Connector (OSTI)

...Clostridium ljungdahlii represents a microbial production platform based on syngas 10.1073/pnas.1010816107 MICROBIOLOGY...Clostridium ljungdahlii represents a microbial production platform based on syngas, by Michael Kopke, Claudia Held...

2010-01-01T23:59:59.000Z

336

Are Pixel Graphs Are Better at Representing Information than Pie Graphs?  

Science Journals Connector (OSTI)

This study investigates whether pixel graphs more accurately represent percentage based data than pie graphs or bar graphs. Participants were asked ... representing large quantities of percentage based data than

Jolie Bell; Jim Davies

2010-01-01T23:59:59.000Z

337

Applications of High-Resolution Electrospray Ionization Mass Spectrometry to Measurements of Average Oxygen to Carbon Ratios in Secondary Organic Aerosols  

SciTech Connect (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

338

Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4  

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

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

339

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

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

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"

340

Bright High Average Power Table-top Soft X-Ray Lasers  

SciTech Connect (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

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

Optimizing detector placement for isolated intersections based on minimizing average delay and number of stops  

E-Print Network [OSTI]

indicated that the cycle length increased as the Carryover and upstream detector setback distance increased. Secondly, the inverse relationship observed between average delay and number of stops was discussed for the tested scenarios. It was determined...

Hoppers, Kevin Paul

2012-06-07T23:59:59.000Z

342

Generalized Volume-Averaged Filtration Combustion Model and Its Application for Calculating Carbon Gasifiers  

Science Journals Connector (OSTI)

We have developed a generalized volume-averaged model of filtration combustion of gases taking into account the spatial inhomogeneity of a porous medium and the change in porosity due to the heterogeneous chem...

K. V. Dobrego; I. A. Koznacheev

343

E-Print Network 3.0 - averaged diurnal cycle Sample Search Results  

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

OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029, Diurnal and semidiurnal internal tide energy flux at Summary: are averaged over. The observed slope of 0.25 degrees is...

344

U.S. Average Depth of Natural Gas Developmental Wells Drilled...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

345

U.S. Average Depth of Natural Gas Exploratory Wells Drilled ...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

346

E-Print Network 3.0 - average solar-cosmic-ray fluxes Sample...  

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

solar-cosmic-ray fluxes Search Powered by Explorit Topic List Advanced Search Sample search results for: average solar-cosmic-ray fluxes Page: << < 1 2 3 4 5 > >> 1 Annales...

347

E-Print Network 3.0 - average current rf Sample Search Results  

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

management estimates the channel upon a frame recep- tion. MIMO... MHz bandwidth. 6.2 Simulation Results We compare the average energy per bit of RF chain management... measure...

348

Identification of an average temperature and a dynamical pressure in a multitemperature mixture of fluids  

E-Print Network [OSTI]

Identification of an average temperature and a dynamical pressure in a multitemperature mixture pressure even if the fluids have a zero bulk viscosity. The nonequilib- rium dynamical pressure can

Boyer, Edmond

349

Reconstruction of ionization probabilities from spatially averaged data in N dimensions  

E-Print Network [OSTI]

We present an analytical inversion technique, which can be used to recover ionization probabilities from spatially averaged data in an N-dimensional detection scheme. The solution is given as a power series in intensity. For this reason, we call...

Stroahaber, James; Kolomenskii, A; Schuessler, Hans

2010-07-06T23:59:59.000Z

350

Free Energy Self-Averaging in Protein-Sized Random Heteropolymers  

E-Print Network [OSTI]

Current theories of heteropolymers are inherently macrpscopic, but are applied to folding proteins which are only mesoscopic. In these theories, one computes the averaged free energy over sequences, always assuming that it is self-averaging -- a property well-established only if a system with quenched disorder is macroscopic. By enumerating the states and energies of compact 18, 27, and 36mers on a simplified lattice model with an ensemble of random sequences, we test the validity of the self-averaging approximation. We find that fluctuations in the free energy between sequences are weak, and that self-averaging is a valid approximation at the length scale of real proteins. These results validate certain sequence design methods which can exponentially speed up computational design and greatly simplify experimental realizations.

Jeffrey Chuang; Alexander Yu. Grosberg; Mehran Kardar

2001-02-05T23:59:59.000Z

351

Bayesian Approach to DNA Segmentation into Regions with Different Average Nucleotide Composition  

Science Journals Connector (OSTI)

We present a new method of segmentation of nucleotide sequences into regions with different average composition. The sequence is modelled as a series of segments; within each segment the sequence is considered as a random sequence of independent and ...

Vsevolod Makeev; Vasily Ramensky; Mikhail S. Gelfand; Mikhail A. Roytberg; Vladimir Tumanyan

2000-05-01T23:59:59.000Z

352

Computing electricity spot price prediction intervals using quantile regression and forecast averaging  

Science Journals Connector (OSTI)

We examine possible accuracy gains from forecast averaging in the context of interval forecasts of electricity spot prices. First, we test whether constructing empirical prediction intervals (PI) from combined electricity

Jakub Nowotarski; Rafa? Weron

2014-08-01T23:59:59.000Z

353

Fact #624: May 24, 2010 Corporate Average Fuel Economy Standards, Model Years 2012-2016  

Broader source: Energy.gov [DOE]

The final rule for the Corporate Average Fuel Economy (CAFE) Standards was published in March 2010. Under this rule, each light vehicle model produced for sale in the United States will have a fuel...

354

Fact #693: September 19, 2011 Average Vehicle Footprint for Cars and Light Trucks  

Broader source: Energy.gov [DOE]

A vehicle footprint is the area defined by the four points where the tires touch the ground. It is calculated as the product of the wheelbase and the average track width of the vehicle. The...

355

E-Print Network 3.0 - average shaped atlas Sample Search Results  

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

shaped atlas Search Powered by Explorit Topic List Advanced Search Sample search results for: average shaped atlas Page: << < 1 2 3 4 5 > >> 1 Retrospective Cross-Evaluation of an...

356

Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles  

Broader source: Energy.gov [DOE]

The average trip length (one-way) is 9.7 miles according to the 2009 Nationwide Personal Transportation Survey. Trip lengths vary by the purpose of the trip. Shopping and family/personal business...

357

Design and Analysis on Face-Cooled Disk Faraday Rotator under High Average Power Lasers  

Science Journals Connector (OSTI)

A novel, scalable Faraday rotator has been designed for high-average-power lasers in a gas-cooled multi-disk scheme. The concept with a negligible thermal distortion and birefringence...

Yasuhara, Ryo; Yamanaka, Masanobu; Norimatsu, Takayoshi; Izawa, Yasukazu; Kawashima, Toshiyuki; Ikegawa, Tadashi; Matsumoto, Osamu; Sekine, Takashi; Kurita, Takashi; Kan, Hirofumi; Furukawa, Hiroyuki

358

Design and Analysis on Face-Cooled Disk Faraday Rotator for High Average Power Lasers  

Science Journals Connector (OSTI)

A novel, scalable Faraday rotator has been designed for high-average-power lasers in a gas-cooled multi-disk scheme. The concept with a negligible thermal distortion and birefringence...

Yasuhara, R; Yamanaka, M; Norimatsu, T; Izawa, Y; Kawashima, T; Ikegawa, T; Matsumoto, O; Sekine, T; Kurita, T; Kan, H; Furukawa, H

359

Idealized annually averaged Macroturbulent Hadley 3 Circulation in a Shallow Water Model 4  

E-Print Network [OSTI]

1 1 2 Idealized annually averaged Macroturbulent Hadley 3 Circulation driven Hadley 25 circulation is studied using an idealized shallow water model, is predicted by an effective macroturbulent Hadley circulation 32 Prandtl number, Pr

Harnik, Nili

360

Vibration analysis of plates by a time-averaged projection-moir method  

Science Journals Connector (OSTI)

A time-averaged moir principle is described that is appropriate for vibration analysis of plates. If the projected grating, deformed by the vibrating object, is superposed upon a...

Ritter, Reinhold; Meyer, Hans-Juergen

1980-01-01T23:59:59.000Z

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.


361

Non-standard stochastic averaging of large-amplitude ship rolling in random seas  

Science Journals Connector (OSTI)

...open seas. But how long does it take on average for a...and M. D. Friedman 1954 Handbook of elliptic integrals for...in this Data Supplement: Electronic supplementary material Supplementary Calculations Adobe PDF - rspa20120258supp1...

2012-01-01T23:59:59.000Z

362

Best-practice and average practice: technique choice and energy demand in a vintage model  

Science Journals Connector (OSTI)

Comparisons between best-practice use of energy and average practice have become quite popular ... in debates and scenarios about future need for energy, and sometimes fairly strong conclusions are drawn about lo...

Lennart Hjalmarsson; Finn R. Frsund

1992-01-01T23:59:59.000Z

363

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"

364

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",," ",," "

365

"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"

366

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",," ",," "

367

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",," ",," "

368

Experiments with a time-dependent, zonally averaged, seasonal, enery balance climatic model  

E-Print Network [OSTI]

EXPERIMENTS WITH A TI&E-DEPENDENT, ZONALLY AVERAGED, SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the decree... of MASTER OF SCIENCE December 1977 Major Subject: Meteorology EXPERIMENTS WITH A TIME DEPENDENT~ ZONALLY AVERAGED~ SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Approved as to style and content by: (Chairman of Committee...

Thompson, Starley Lee

2012-06-07T23:59:59.000Z

369

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"

370

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"

371

"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"

372

"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"

373

Conservationism is not Conservatism: Do Interest Group Endorsements Help Voters Hold Representatives Accountable?  

E-Print Network [OSTI]

Interest Group Endorsements Help Voters Hold Representativesthat interest group cues may help voters make better- 1 Thisheuristics, when supplied, help the average voter make the

Kaufman, Aaron

2013-01-01T23:59:59.000Z

374

What every designated representative should know about Title IV and Title V enforcement provisions  

SciTech Connect (OSTI)

Title IV of the Clean Air Act not only created a regulatory program unlike any other under the Clean Air Act, but also established a unique position--the designated representative--as an integral part of the program. The designated representative is required to meet certain basic obligations under Title IV, and a panoply of enforcement mechanisms are available to EPA in the event of noncompliance with these obligations. Also, because a designated representative may take on responsibilities under the permit provisions of Title V of the Clean Air Act, the designated representative can also be subject to an enforcement action for failure to comply with certain Title V permit requirements. This paper considers the basic definition of the designated representative under EPA`s Title IV and Title V regulations, identifies the responsibilities assigned to the designated representative, and then analyzes the enforcement mechanisms that may be applied to the designated representative if a regulatory responsibility has not been satisfied.

Bischoff, C.A. [Gallagher and Kennedy, Phoenix, AZ (United States); Dayal, P. [Tucson Electric Power Co., Tucson, AZ (United States)

1995-12-31T23:59:59.000Z

375

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

376

Reference Buildings by Climate Zone and Representative City: 5A Chicago,  

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

Reference Buildings by Climate Zone and Representative City: 5A Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois 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_5a_usa_il_chicago-ohare_post1980_v1.3_5.0.zip refbldg_5a_usa_il_chicago-ohare_post1980_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado Reference Buildings by Climate Zone and Representative City: 6A Minneapolis, Minnesota Reference Buildings by Climate Zone and Representative City: 6B Helena,

377

Reference Buildings by Climate Zone and Representative City: 4C Seattle,  

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

Reference Buildings by Climate Zone and Representative City: 4C Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington 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_4c_usa_wa_seattle_new2004_v1.3_5.0.zip refbldg_4c_usa_wa_seattle_new2004_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 2B Phoenix,

378

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

379

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

380

,"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"

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

,"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"

382

,"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"

383

Reconstruction of ionization probabilities from spatially averaged data in N-dimensions  

E-Print Network [OSTI]

We present an analytical inversion technique which can be used to recover ionization probabilities from spatially averaged data in an N-dimensional detection scheme. The solution is given as a power series in intensity. For this reason, we call this technique a multiphoton expansion (MPE). The MPE formalism was verified with an exactly solvable inversion problem in 2D, and probabilities in the postsaturation region, where the intensity-selective scanning approach breaks down, were recovered. In 3D, ionization probabilities of Xe were successfully recovered with MPE from simulated (using the ADK tunneling theory) ion yields. Finally, we tested our approach with intensity-resolved benzene ion yields showing a resonant multiphoton ionization process. By applying MPE to this data (which was artificially averaged) the resonant structure was recovered-suggesting that the resonance in benzene may have been observable in spatially averaged data taken elsewhere.

J. Strohaber; A. A. Kolomenskii; H. A. Schuessler

2010-03-31T23:59:59.000Z

384

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.

385

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

386

Fr\\'echet means of curves for signal averaging and application to ECG data analysis  

E-Print Network [OSTI]

Signal averaging is the process that consists in computing a mean shape from a set of noisy signals. In the presence of geometric variability in time in the data, the usual Euclidean mean of the raw data yields a mean pattern that does not reflect the typical shape of the observed signals. In this setting, it is necessary to use alignment techniques for a precise synchronization of the signals, and then to average the aligned data to obtain a consistent mean shape. In this paper, we study the numerical performances of Fr\\'echet means of curves which are extensions of the usual Euclidean mean to spaces endowed with non-Euclidean metrics. This yields a new algorithm for signal averaging without a reference template. We apply this approach to the estimation of a mean heart cycle from ECG records.

Bigot, Jrmie

2011-01-01T23:59:59.000Z

387

"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

388

The average number of distinct sites visited by a random walker on random graphs  

E-Print Network [OSTI]

We study the linear large $n$ behavior of the average number of distinct sites $S(n)$ visited by a random walker after $n$ steps on a large random graph. An expression for the graph topology dependent prefactor $B$ in $S(n) = Bn$ is proposed. We use generating function techniques to relate this prefactor to the graph adjacency matrix and then devise message-passing equations to calculate its value. Numerical simulations are performed to evaluate the agreement between the message passing predictions and random walk simulations on random graphs. Scaling with system size and average graph connectivity are also analysed.

De Bacco, Caterina; Sollich, Peter

2015-01-01T23:59:59.000Z

389

Phase averaged measurements of the coherent structure of a Mach number 0.6 jet  

E-Print Network [OSTI]

DECEMBER 1983 Major Subject: Mechanical Engineering PHASE AVERAGED MEASUREMENTS OF THE COHERENT STRUCTURE OF A MACH NUMBER 0. 6 JET A Thesis by SAIED EMAMI Approved as to style and cont. ent by: Dr. G. L. Morrison (Chairm n of committee) Dp, J. C.... Dutton (Member) Dr. G. B. Tatterson (Member) Dr, G . R, HOpk i ns (Head of Department) December 1983 ABSTRACT Phase Averaged Measurements of the Coherent Structure of a Mach Number 0. 6 Jet. (December 1983) Saied Emami, B. S. , Texas A...

Emami, Saied

1983-01-01T23:59:59.000Z

390

Lattice Boltzmann Model for The Volume-Averaged Navier-Stokes Equations  

E-Print Network [OSTI]

A numerical method, based on discrete lattice Boltzmann equation, is presented for solving the volume-averaged Navier-Stokes equations. With a modified equilibrium distribution and an additional forcing term, the volume-averaged Navier-Stokes equations can be recovered from the lattice Boltzmann equation in the limit of small Mach number by the Chapman-Enskog analysis and Taylor expansion. Due to its advantages such as explicit solver and inherent parallelism, the method appears to be more competitive with traditional numerical techniques. Numerical simulations show that the proposed model can accurately reproduce both the linear and nonlinear drag effects of porosity in the fluid flow through porous media.

Zhang, Jingfeng; Ouyang, Jie

2014-01-01T23:59:59.000Z

391

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

Broader source: Energy.gov [DOE]

"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...

392

4Q CY2000 (PDF), Facility Representative Program Performance Indicators Quarterly Report  

Broader source: Energy.gov [DOE]

"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...

393

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

Broader source: Energy.gov [DOE]

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...

394

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

Broader source: Energy.gov [DOE]

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...

395

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

Broader source: Energy.gov [DOE]

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...

396

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

Broader source: Energy.gov [DOE]

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...

397

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

Broader source: Energy.gov [DOE]

"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...

398

3Q C&2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report  

Broader source: Energy.gov [DOE]

"Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from July to September 2008. Data for these indicators aregathered by Field...

399

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

Broader source: Energy.gov [DOE]

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...

400

E-Print Network 3.0 - archaeal orphans representing Sample Search...  

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

and archaeal groups was carried out using the neighbor... -Flexibacter- Bacteroides (CFB), Cyanobacteria, and Alpha-Proteobacteria were dominantly represented. Crenarcheota...

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

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

Broader source: Energy.gov [DOE]

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...

402

High Schools Served by Regional Admissions Representatives (by County) Lisa Overstreet  

E-Print Network [OSTI]

High Schools Served by Regional Admissions Representatives (by County) Region 1 Lisa Overstreet San Joaquin El Dorado San Mateo Fresno Sierra Kings Solano Lake Sonoma Madera Stanislaus Mariposa

Belanger, David P.

403

Establishing and maintaining a facility representative program at DOE nuclear facilities  

SciTech Connect (OSTI)

The purpose of this DOE standard, (Establishing and Maintaining a Facility Representative Program at DOE Nuclear Facilities), is to help ensure that DOE Facility Representatives are selected based on consistently high standards and from the best qualified candidates available, that they receive the training required for them to function effectively, and that their expected duties, responsibilities, and authorities are well understood and accurately documented. To this end, this guidance provides the following practical information: (1) An approach for use in determining the required facility coverage; (2) The duties, responsibilities and authorities expected of a Facility Representative; and (3) The training and qualification expected of a Facility Representative.

Not Available

1993-08-01T23:59:59.000Z

404

Average crack front velocity during subcritical fracture propagation in a heterogeneous medium  

E-Print Network [OSTI]

Average crack front velocity during subcritical fracture propagation in a heterogeneous medium relaxation tests, exploring subcritical to critical regimes. Transparency of the material (PMMA) allows kinetic crack propagation is usually referred to as sub-critical crack growth or sub- critical regime

Paris-Sud XI, Université de

405

Seminario de Estadstica e Investigacin Operativa "Tree, web and average web value for  

E-Print Network [OSTI]

Seminario de Estadística e Investigación Operativa "Tree, web and average web value for cycle solution concepts, called web values, are introduced axiomatically, each one with respect to some specific recursive algorithms to calculate them. Additionally the efficiency and stability of web values are studied

Tradacete, Pedro

406

ATOC 3500 Thursday, Feb. 18, 2010 Hand back Midterm Exams (average = 89)  

E-Print Network [OSTI]

that particles are generated in the atmosphere. While there is some discussion in the aerosol community over the water that has condensed. Thus, in the atmosphere, it is common to see a threshhold (calledATOC 3500 Thursday, Feb. 18, 2010 Hand back Midterm Exams (average = 89) Interaction of atmospheric

Toohey, Darin W.

407

The averaging of gravity currents in porous media Daniel M. Andersona)  

E-Print Network [OSTI]

or contain DNAPL contaminants in porous medium systems.2,3 Since the brines used in these remediation groundwater cleanup strategies involving injected brines. We derive averaged solutions using homogenization the past few decades, releases of contaminants that are immiscible with water into the shallow subsurface

Anderson, Daniel M.

408

Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke  

E-Print Network [OSTI]

Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke Chris T In the context of the Cardiovascular Health Study, a comprehensive investigation into the risk factors for stroke of assessing who is at high risk for stroke. 1 Introduction Stroke is the third leading cause of death among

Volinsky, Chris

409

Climate Projections Using Bayesian Model Averaging and Space-Time Dependence  

E-Print Network [OSTI]

Climate Projections Using Bayesian Model Averaging and Space-Time Dependence K. Sham Bhat, Murali Haran, Adam Terando, and Klaus Keller. Abstract Projections of future climatic changes are a key input to the design of climate change mitiga- tion and adaptation strategies. Current climate change projections

Haran, Murali

410

Average-case analysis of perfect sorting by reversals Mathilde Bouvel  

E-Print Network [OSTI]

genomics, is the process of sorting a signed permutation to either the identity or to the reversed identity example here: we perform an average case analysis of a sorting algorithm from computational genomics by generating function analysis of a family of trees. Motivation: a computational genomics problem

Boyer, Edmond

411

The average person sheds 40 pounds of skin during his or her lifetime. That's the  

E-Print Network [OSTI]

Q: MSU N 19 o. The average person sheds 40 pounds of skin during his or her lifetime. That whether they are facts or opinions. Fact or opinion? A fact is something that can be tested. An opinion is something that someone thinks or believes. 1. Wooly mammoths are extinct. fact opinion 2. Ear wax can

412

On average, the ocean is 3800 metres deep. It covers 71% of the  

E-Print Network [OSTI]

lives in very cold deep water (-2-5 C) and feeds on brittle stars. It grows up to 75cm long31 On average, the ocean is 3800 metres deep. It covers 71% of the earth's surface and 88 are a bit more adventurous than I am and they may take pictures as deep as about 100m, which is not even 1

National Oceanography Centre, Southampton

413

24is the average age of our MSc in Real Estate Investment students  

E-Print Network [OSTI]

24is the average age of our MSc in Real Estate Investment students The Cass advantage Located exciting stage of your career journey. About the course The MSc in Real Estate Investment is aimed at students wishing to enter or advance their careers in the fields of real estate investment management, real

Weyde, Tillman

414

Incident Invasive Breast Cancer, Geographic Location of Residence, and Reported Average Time Spent Outside  

Science Journals Connector (OSTI)

...areas of low versus high solar irradiance measured in...residence and geographic solar irradiance are not consistently...total average sunlight energy striking the ground...foods and supplements (energy adjusted IU/d). Some...low compared with high solar irradiance (comparing...

Amy E. Millen; Mary Pettinger; Jo L. Freudenheim; Robert D. Langer; Carol A. Rosenberg; Yasmin Mossavar-Rahmani; Christine M. Duffy; Dorothy S. Lane; Anne McTiernan; Lewis H. Kuller; Ana Maria Lopez; and Jean Wactawski-Wende

2009-02-01T23:59:59.000Z

415

Bias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction  

E-Print Network [OSTI]

from numerical weather prediction models, which is based on a state-of-the-art circular-processing techniques for forecasts from numerical weather prediction models tend to become ineffective or inapplicableBias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction Le

Washington at Seattle, University of

416

Accelerated Corrective Consensus: Converge to the Exact Average at a Faster Rate  

E-Print Network [OSTI]

Accelerated Corrective Consensus: Converge to the Exact Average at a Faster Rate Yin Chen Roberto to reach convergence. Therefore, a great deal of effort has been devoted into accelerating consensus with improved accelerated consensus algorithms. Nevertheless, these techniques assume the communication graph

Amir, Yair

417

X-ray scattering study of the average polycyclic aromatic unit in Ledo coal  

Science Journals Connector (OSTI)

Through an X-ray scattering analysis, the short-range structural features, the relationship(s) between the aryl/alkyl carbon ratio, and the size of the average polycyclic aromatic unit in Ledo coal from Makum coalfield, Assam, India, are elucidated.

Boruah, R.K.

2008-01-16T23:59:59.000Z

418

Seasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements  

E-Print Network [OSTI]

of indoor air pollution sources. Concurrently, great efforts are made to make buildings energy efficient 1970s, while less attention has been paid to IAQ. Insufficient venting of indoor air pollutantsSeasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements Marie

Hansen, René Rydhof

419

Development of a high average current polarized electron source with long cathode operational lifetime  

Science Journals Connector (OSTI)

Substantially more than half of the electromagnetic nuclear physics experiments conducted at the Continuous Electron Beam Accelerator Facility of the Thomas Jefferson National Accelerator Facility (Jefferson Laboratory) require highly polarized electron beams, often at high average current. Spin-polarized electrons are produced by photoemission from various GaAs-based semiconductor photocathodes, using circularly polarized laser light with photon energy slightly larger than the semiconductor band gap. The photocathodes are prepared by activation of the clean semiconductor surface to negative electron affinity using cesium and oxidation. Historically, in many laboratories worldwide, these photocathodes have had short operational lifetimes at high average current, and have often deteriorated fairly quickly in ultrahigh vacuum even without electron beam delivery. At Jefferson Lab, we have developed a polarized electron source in which the photocathodes degrade exceptionally slowly without electron emission, and in which ion back bombardment is the predominant mechanism limiting the operational lifetime of the cathodes during electron emission. We have reproducibly obtained cathode 1/e dark lifetimes over two years, and 1/e charge density and charge lifetimes during electron beam delivery of over 2105???C/cm2 and 200C, respectively. This source is able to support uninterrupted high average current polarized beam delivery to three experimental halls simultaneously for many months at a time. Many of the techniques we report here are directly applicable to the development of GaAs photoemission electron guns to deliver high average current, high brightness unpolarized beams.

C. K. Sinclair; P. A. Adderley; B. M. Dunham; J. C. Hansknecht; P. Hartmann; M. Poelker; J. S. Price; P. M. Rutt; W. J. Schneider; M. Steigerwald

2007-02-07T23:59:59.000Z

420

Frechet means of curves for signal averaging and application to ECG data analysis  

E-Print Network [OSTI]

Fr´echet means of curves for signal averaging and application to ECG data analysis J´er´emie Bigot a reference template. We apply this approach to the estimation of a mean heart cycle from ECG records; Deformable models; ECG data. AMS classifications: Primary 62G08; secondary 62P10. Acknowledgements

Paris-Sud XI, Université de

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

Effectiveness of marine reserve networks in representing biodiversity and minimizing impact to fishermen: a comparison  

E-Print Network [OSTI]

LETTER Effectiveness of marine reserve networks in representing biodiversity and minimizing impact of California's Marine Life Protection Act Initiative at represent- ing biodiversity and minimizing estimated to design marine reserve networks that meet biodiversity targets efficiently (Kirkpatrick 1983; Leslie et al

Queensland, University of

422

A generalized 3D inverted pendulum model to represent human normal walking  

E-Print Network [OSTI]

A generalized 3D inverted pendulum model to represent human normal walking Sophie Sakka IRCCy,lacouture}@univ-poitiers.fr Abstract-- This paper compares different inverted pendulum models to represent the stance phase of human adapted to pathological walking as the walking symmetry hypothesis -needed to build classical inverted

Paris-Sud XI, Université de

423

Applying Engineering and Fleet Detail to Represent Passenger Vehicle Transport in a  

E-Print Network [OSTI]

Applying Engineering and Fleet Detail to Represent Passenger Vehicle Transport in a Computable. It seeks to provide leadership in understanding scientific, economic, and ecological aspects://globalchange.mit.edu/ Printed on recycled paper #12;1 Applying Engineering and Fleet Detail to Represent Passenger Vehicle

424

Gregory H. Friedman: Before the U.S. House of Representatives Committee on  

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

of Representatives of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations Gregory H. Friedman: Before the U.S. House of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations February 26, 2003 Before the U.S. House of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations Statement of Gregory H. Friedman, Inspector General U.S. Department of Energy Testify on the Office of Inspector General's recent inquiry concerning Los Alamos National Laboratory. STATEMENT OF GREGORY H. FRIEDMAN INSPECTOR GENERAL U.S. DEPARTMENT OF ENERGY BEFORE THE U.S. HOUSE OF REPRESENTATIVES COMMITTEE ON ENERGY AND COMMERCE SUBCOMMITTEE ON OVERSIGHT AND INVESTIGATIONS, February 26, 2003

425

3Q C&2008 (PDF), Facility Representative Program Performance Indicators  

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

3Q C&2008 (PDF), Facility Representative Program Performance 3Q C&2008 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q C&2008 (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 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: 80% Fully Qualified ( last Quarter was 87%) 89% Staffing Level ( last Quarter was 86%) 45% Time Spent in the Field (DOE goal is > 40%) 76% Time Spent in Oversight Activites (DOE Goal is >

426

FACILITY REPRESENTATIVE PROGRAM STATUS, 6/21/1999 | Department of Energy  

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

FACILITY REPRESENTATIVE PROGRAM STATUS, 6/21/1999 FACILITY REPRESENTATIVE PROGRAM STATUS, 6/21/1999 FACILITY REPRESENTATIVE PROGRAM STATUS, 6/21/1999 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 Safety Board (Board) staff on FR Program issues, including staffing, training and qualification, recruitment, and retention. The Board is clearly interested in the

427

CIPANP00 / 5/00 / Quebec, CA \\Lambda c : Not your average Bearyon 1 's: Absolute production and decay rates  

E-Print Network [OSTI]

CIPANP00 / 5/00 / Quebec, CA \\Lambda c : Not your average Bearyon 1 \\Lambda c 's: Absolute / 5/00 / Quebec, CA \\Lambda c : Not your average Bearyon 2 \\Lambda c ! \\LambdaX 1. If \\Lambda c decays, this talk) #12; CIPANP00 / 5/00 / Quebec, CA \\Lambda c : Not your average Bearyon 3 Technique: Charm

428

"2012 Total Electric Industry- Average Retail Price (cents/kWh)"  

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

Average Retail Price (cents/kWh)" Average Retail Price (cents/kWh)" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",15.713593,13.679941,11.83487,6.6759453,14.017926 "Connecticut",17.343298,14.652335,12.672933,9.6930118,15.54464 "Maine",14.658797,11.52742,7.9819499,".",11.812709 "Massachusetts",14.912724,13.841518,12.566635,4.9056852,13.78825 "New Hampshire",16.070168,13.36121,11.83228,".",14.192854 "Rhode Island",14.404061,11.867247,10.676724,8.2796427,12.740867 "Vermont",17.006075,14.316157,9.9796777,".",14.220244

429

Average Price (Cents/kilowatthour) by State by Provider, 1990-2012  

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

Average Price (Cents/kilowatthour) by State by Provider, 1990-2012" Average Price (Cents/kilowatthour) by State by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",17.88,14.93,16.82,0,"NA",16.33 2012,"AL","Total Electric Industry",11.4,10.63,6.22,0,"NA",9.18 2012,"AR","Total Electric Industry",9.3,7.71,5.77,11.23,"NA",7.62 2012,"AZ","Total Electric Industry",11.29,9.53,6.53,0,"NA",9.81 2012,"CA","Total Electric Industry",15.34,13.41,10.49,7.17,"NA",13.53

430

Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010;  

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

3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; 3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; 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 Electricity from Local Other than Natural Gas from Local Other than Steam from Local Other than NAICS Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Code(a) Subsector and Industry (kWh) (kWh) (kWh) (1000 cu ft) (1000 cu ft) (1000 cu ft) (million Btu)

431

Average monthly gasoline price to fall to $3.43 by September  

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

monthly gasoline price to fall to $3.43 by September monthly gasoline price to fall to $3.43 by September The U.S. average monthly retail price of gasoline is expected to decline by about 18 cents per gallon between May and September, according to the new forecast from the U.S. Energy Information Administration. The lower price reflects, in part, slightly lower crude oil prices that account for about two-thirds of the cost at the pump. The largest price drops are expected in the Midwest states as refineries serving that region, which had been down for planned and unplanned maintenance, return to operation. For the year as a whole, the annual average retail gasoline price is forecasted to decline from $3.63 a gallon last year to $3.49 a gallon this year...and then drop to $3.37 per gallon in 2014

432

Gatling gun: high average polarized current injector for eRHIC  

SciTech Connect (OSTI)

This idea was originally developed in 2001 for, at that time, an ERL-based (and later recirculating-ring) electron-ion collider at JLab. Naturally the same idea is applicable for any gun requiring current exceeding capability of a single cathode. ERL-based eRHIC is one of such cases. This note related to eRHIC was prepared at Duke University in February 2003. In many case photo-injectors can have a limited average current - it is especially true about polarized photo-guns. It is know that e-RHIC requires average polarized electron current well above currently demonstrated by photo-injectors - hence combining currents from multiple guns is can be useful option for eRHIC.

Litvinenko, V.N.

2010-01-01T23:59:59.000Z

433

In-cell reaction rate distributions and cell-average reaction rates in fast critical assemblies  

SciTech Connect (OSTI)

Measurements are described for determining average values of fission rates in /sup 235/U, /sup 238/U and /sup 239/Pu and capture rates in /sup 238/U for heterogeneous cells used to construct fast critical assemblies. The measurements are based on irradiations of foils of /sup 238/U, /sup 235/U and /sup 239/Pu with counting of fission and capture products using gamma-ray spectroscopy. Both plate and pin cells are considered. Procedures are described for inferring cell-average reaction rate values from a single foil location based on a cell using a quantity called a cell factor. Cell factors are determined from special measurements in which several foils are irradiated within a cell. Comparisons are presented between cell factors determined by measurements and by Monte Carlo calculations which lend credibility to the measurement procedures.

Brumbach, S.B.; Gasidlo, J.M.

1985-08-01T23:59:59.000Z

434

Averaged number of prompt neutrons calculus for photo-fission of actinides  

E-Print Network [OSTI]

The empirical calculations of the averaged number of prompt neutrons for photofission of 232Th, 233U, 234U, 235U, 236U, 238U, 237Np, 239Pu and 241Am actinides were done as a function of excitation energy, mass and charge of the nucleus, which can be used to evaluate the prompt neutrons for photofission of nuclides for which no or scarce data is available.

A. I. Lengyel; O. O. Parlag; V. T. Maslyuk; N. I. Romanyuk; O. O. Gritzay

2014-11-05T23:59:59.000Z

435

Table 10. Average Price of U.S. Steam Coal Exports  

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

Average Price of U.S. Steam Coal Exports Average Price of U.S. Steam Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 10. Average Price of U.S. Steam 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 65.10 63.67 73.81 64.48 78.90 -18.3 Canada* 59.34 55.22 63.02 57.57 73.63 -21.8 Dominican Republic 78.47 74.41 73.89 75.40 76.61 -1.6 Honduras - 54.58 54.43 54.58 54.43 0.3 Jamaica 480.00 54.43 - 54.72 55.42 -1.3 Mexico 69.42 73.33 82.64 70.83 86.44 -18.1 Other** 80.33 389.30 70.37 82.45 76.10 8.3 South America Total 79.44 77.85 70.55

436

Table 12. Average Price of U.S. Metallurgical Coal Exports  

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

Average Price of U.S. Metallurgical Coal Exports Average Price of U.S. Metallurgical Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 12. Average Price of U.S. Metallurgical 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 92.50 99.40 146.56 94.82 140.70 -32.6 Canada* 99.83 125.20 142.46 106.43 138.19 -23.0 Dominican Republic 114.60 77.21 - 77.27 - - Mexico 78.93 78.54 180.76 78.77 153.65 -48.7 South America Total 119.26 117.51 167.05 118.30 168.12 -29.6 Argentina 146.70 131.08 182.47 137.36 196.37 -30.1 Brazil 119.21 117.38 165.61 118.20

437

Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method,  

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

Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Continuous 1 Conventional and Other 2 Longwall 3 Total Coal-Producing State Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage Recoverable Coal Reserves at Producing Mines Average Recovery Percentage

438

Gregory H. Friedman: Before The U.S. House of Representatives Committee on  

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

The U.S. House of Representatives The U.S. House of Representatives Committee on Government Reform Subcommittee on the Federal Workforce and Agency Organization Gregory H. Friedman: Before The U.S. House of Representatives Committee on Government Reform Subcommittee on the Federal Workforce and Agency Organization April 5 2005 Before The U.S. House of Representatives Committee on Government Reform Subcommittee on the Federal Workforce and Agency Organization Statement of Gregory H. Friedman, Inspector General U.S. Department of Energy Testify regarding recent allegations of misconduct involving documents associated with the U.S. Department of Energy's Yucca Mountain Project. Disposal of the Nation's high-level nuclear waste and spent nuclear fuel is one of the most sensitive and complex challenges facing the U.S.

439

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

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

Herbert Richardson: Before The U.S. House of Representatives Herbert 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 Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations March 4, 2004 Before The U.S. House of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations Statement of Herbert Richardson, Principal Deputy Inspector General U.S. Department of Energy Testify regarding physical security at the Department of Energy's facilities. The Department's activities range from nuclear nonproliferation, to cutting edge research and development, to weapons programs. The sensitive and critical nature of the Department's work

440

U.S. Representative Cleaver congratulates KCP employees for safety record  

National Nuclear Security Administration (NNSA)

Representative Cleaver congratulates KCP employees for safety record Representative Cleaver congratulates KCP employees for safety record during big move | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > U.S. Representative Cleaver congratulates KCP employees for ... U.S. Representative Cleaver congratulates KCP employees for safety record

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

Gregory H. Friedman: Before the U.S. House Of Representatives Committee on  

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

Of Representatives Of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations Gregory H. Friedman: Before the U.S. House Of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations May 1, 2003 Before the U.S. House Of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations Statement of Gregory H. Friedman, Inspector General U.S. Department of Energy Request to testify on the Office of Inspector General's (OIG) reviews of management practices at the Los Alamos National Laboratory (Laboratory). In February of this year, I testified before this Subcommittee regarding our Special Inquiry report on Operations at Los Alamos National Laboratory (DOE/IG-0584, January 2003). That report noted a series of actions taken by

442

Order Module--DOE-STD-1063-2011, FACILITY REPRESENTATIVES | Department of  

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

DOE-STD-1063-2011, FACILITY REPRESENTATIVES DOE-STD-1063-2011, FACILITY REPRESENTATIVES Order Module--DOE-STD-1063-2011, FACILITY REPRESENTATIVES The familiar level of this module is divided into three sections. The first section addresses the purpose and scope of DOE-STD-1063-2011, the purpose of the FR program, and the duties, responsibilities, and authorities of FRs and other key personnel. In the second section, the requirements of the FR program are discussed. The third section covers the three appendices of this standard: FR performance indicators, an FR program assessment guide, and the process to determine FR staffing. We have provided examples and a practice to help familiarize you with the material. The practice will also help prepare you for the criterion test. DOE Order Self Study Modules - DOE STD 1063, Facility Representatives

443

Design of a Fragment Library that maximally represents available chemical space  

Science Journals Connector (OSTI)

Cheminformatics protocols have been developed and assessed that identify a small set of fragments which can represent the compounds in a chemical library for use in fragment-based ligand discovery. Six differe...

M. N. Schulz; J. Landstrm; K. Bright

2011-07-01T23:59:59.000Z

444

Extracting and Representing Qualitative Behaviors of Complex Systems in Phase Spaces  

E-Print Network [OSTI]

We develop a qualitative method for understanding and representing phase space structures of complex systems and demonstrate the method with a program, MAPS --- Modeler and Analyzer for Phase Spaces, using deep domain ...

Zhao, Feng

1991-03-01T23:59:59.000Z

445

Representing Knowledge of LargeScale Space 1 Benjamin Jack Kuipers  

E-Print Network [OSTI]

Representing Knowledge of Large­Scale Space 1 Benjamin Jack Kuipers July 1977 1 B. J. Kuipers. 1977, and Mark Jeffery. Continuing discussions with Al Stevens have been pleasurable and helpful. My wife Laura

Kuipers, Benjamin

446

How faithfully will the geostrophic currents represent the existing ocean currents?  

Science Journals Connector (OSTI)

It is widely recognized that the geostrophic flows computed by the dynamic method of Bjerknes and collaborators represent the actual currents pretty faithfully. However, what would be the reason that a geostrophi...

Koji Hidaka

1972-04-01T23:59:59.000Z

447

STUDENT GOVERNMENT ASSOCIATION The Student Government Association, or "SGA", has the greatest student representative  

E-Print Network [OSTI]

_____________________________________________________________________________ STUDENT GOVERNMENT ASSOCIATION The Student Government Association, or "SGA", has the greatest student representative authority on campus. The Student Government Association receives a $4.50 per student per quarter student-assessed fee

Selmic, Sandra

448

Lessons Learned in Optimizing Workers' and Worker Representatives' Input to Work Planning and Control  

Broader source: Energy.gov [DOE]

Slide Presentation by Tom McQuiston, Dr. P.H., United Steelworkers - Tony Mazzocchi Center for Health, Safety and Environmental Education. Lessons Learned in Optimizing Workers and Worker Representatives Input in Work Planning and Control.

449

John C. Barnes of Savannah River Operations named 2012 Facility Representative of the Year  

Broader source: Energy.gov [DOE]

About 200 Department of Energy (DOE) federal employees are Facility Representatives (FR) who provide day-to-day oversight of contractor operations at DOE facilities. Each year the Department...

450

Secretary Chu to Join Representatives Lofgren and Honda at the SLAC  

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

Representatives Lofgren and Honda at the SLAC Representatives Lofgren and Honda at the SLAC National Accelerator Laboratory Secretary Chu to Join Representatives Lofgren and Honda at the SLAC National Accelerator Laboratory August 13, 2010 - 12:00am Addthis Washington, D.C. - On Monday, U.S. Energy Secretary Steven Chu will visit the SLAC National Accelerator Laboratory in Menlo Park, California. Secretary Chu will join Representatives Zoe Lofgren and Mike Honda and Stanford University President John Hennessy at a dedication ceremony for the Linac Coherent Light Source (LCLS). The Recovery Act-funded LCLS produces x-ray pulses millions of times brighter than the world's most powerful synchrotron sources, capable of capturing images of atoms and molecules in motion. The LCLS is led by SLAC National Accelerator Laboratory (SLAC). Operated by

451

U.S. Energy Secretary Steven Chu, U.S. Representatives Larson and Courtney  

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

Steven Chu, U.S. Representatives Larson and Steven 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 Research Center in East Hartford February 3, 2011 - 12:00am Addthis WASHINGTON, DC - Tomorrow, Friday, February 4, U.S. Secretary of Energy Steven Chu will travel to East Hartford, Conn. to visit United Technologies Research Center, which has received funding from the Department for several transformational clean energy research projects. The Secretary is visiting UTC to highlight the importance of investing in innovation and clean energy to put people back to work, grow the economy, and win the future. He will be joined by U.S. Representatives John Larson and Joe Courtney for a tour

452

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

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

Chu: China's Clean Energy Successes Represent a New Chu: China's Clean Energy Successes Represent a New "Sputnik Moment" for America Secretary Chu: China's Clean Energy Successes Represent a New "Sputnik Moment" for America November 29, 2010 - 12:00am Addthis Washington, D.C. - In a speech 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 the United States, and requires a similar mobilization of America's innovation machine so that we can compete in the global race for the jobs of the future. Secretary Chu outlined efforts underway at the Department to give America's entrepreneurs and manufacturers an edge through investments in clean energy innovation.

453

Reynolds and Favre-averaged rapid distortion theory for compressible, ideal-gas turbulence  

E-Print Network [OSTI]

conditions. Plotted for a range of gradient Mach numbers Mg: ?: 0.01; +: 0.29; ?: 0.72; ?:1.00; triangle: 1.44; ?: 2.88; square: 5.76; ?: 14.4; trianglesolid: 28.8; diamondsolid: 288; squaresolid: 2880. . . . . . . . . . . . . . . . . . . . . . . . . . 23... represent - solid line: pressure-released limit; squaresolid: Mg = 2880. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 xi FIGURE Page 8 Normalized solenoidal (ks/k) and dilatational (kd/k) kinetic energy plots with solenoidal initial...

Lavin, Tucker Alan

2007-09-17T23:59:59.000Z

454

On monogamy of non-locality and macroscopic averages: examples and preliminary results  

E-Print Network [OSTI]

We explore a connection between monogamy of non-locality and a weak macroscopic locality condition: the locality of the average behaviour. These are revealed by our analysis as being two sides of the same coin. Moreover, we exhibit a structural reason for both in the case of Bell-type multipartite scenarios, shedding light on but also generalising the results in the literature [Ramanathan et al., Phys. Rev. Lett. 107, 060405 (2001); Pawlowski & Brukner, Phys. Rev. Lett. 102, 030403 (2009)]. More specifically, we show that, provided the number of particles in each site is large enough compared to the number of allowed measurement settings, and whatever the microscopic state of the system, the macroscopic average behaviour is local realistic, or equivalently, general multipartite monogamy relations hold. This result relies on a classical mathematical theorem by Vorob'ev [Theory Probab. Appl. 7(2), 147-163 (1962)] about extending compatible families of probability distributions defined on the faces of a simplicial complex in the language of the sheaf-theoretic framework of Abramsky & Brandenburger [New J. Phys. 13, 113036 (2011)], such families correspond to no-signalling empirical models, and the existence of an extension corresponds to locality or non-contextuality. Since Vorob'ev's theorem depends solely on the structure of the simplicial complex, which encodes the compatibility of the measurements, and not on the specific probability distributions (i.e. the empirical models), our result about monogamy relations and locality of macroscopic averages holds not just for quantum theory, but for any empirical model satisfying the no-signalling condition. In this extended abstract, we illustrate our approach by working out a couple of examples, which convey the intuition behind our analysis while keeping the discussion at an elementary level.

Rui Soares Barbosa

2014-12-30T23:59:59.000Z

455

Table 7.2 Average Prices of Purchased Energy Sources, 2010;  

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

Table 7.2 Average Prices of Purchased Energy Sources, 2010; 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 and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and NAICS Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Coke Oven (excluding or LPG and Natural Gas from Local

456

Method and system for modulation of gain suppression in high average power laser systems  

DOE Patents [OSTI]

A high average power laser system with modulated gain suppression includes an input aperture associated with a first laser beam extraction path and an output aperture associated with the first laser beam extraction path. The system also includes a pinhole creation laser having an optical output directed along a pinhole creation path and an absorbing material positioned along both the first laser beam extraction path and the pinhole creation path. The system further includes a mechanism operable to translate the absorbing material in a direction crossing the first laser beam extraction laser path and a controller operable to modulate the second laser beam.

Bayramian, Andrew James (Manteca, CA)

2012-07-31T23:59:59.000Z

457

Averaging over fast gravity waves for geophysical flows with arbitrary potential vorticity  

SciTech Connect (OSTI)

Here a mathematically rigorous framework is developed for deriving new reduced simplified dynamical equations for geophysical flows with arbitrary potential vorticity interacting with fast gravity waves. The examples include the rotating Boussinesq and rotating shallow water equations in the quasigeostrophic limit with vanishing Rossby number. For the spatial periodic case the theory implies that the quasi-geostrophic equations are valid limiting equations in the weak topology for arbitrary initial data. Furthermore, simplified reduced equations are developed for the fashion in which the vortical waves influence the gravity waves through averaging over specific gravity wave/vortical resonances. 18 refs.

Embid, P.F. [Princeton Univ., NJ (United States); Majda, A.J. [New York Univ., New York, NY (United States)

1996-12-31T23:59:59.000Z

458

Compact formulas for bounce/transit averaging in axisymmetric tokamak geometry  

E-Print Network [OSTI]

Compact formulas for bounce and transit orbit averaging of the fluctuation-amplitude eikonal factor in axisymmetric tokamak geometry, which is frequently encountered in bounce-gyrokinetic description of microturbulence, are given in terms of the Jacobi elliptic functions and elliptic integrals. These formulas are readily applicable to the calculation of the neoclassical susceptibility in the framework of modern bounce-gyrokinetic theory. In the long-wavelength limit, we recover the expression for the Rosenbluth-Hinton residual zonal flow [Rosenbluth and Hinton, Phys.~Rev.~Lett.~{\\bf 80}, 724 (1998)] accurately.

Duthoit, F -X; Hahm, T S

2014-01-01T23:59:59.000Z

459

Continuous Limit of Multiple Gravitational Lens Effect and Average Magnification Factor  

E-Print Network [OSTI]

We show that the gravitational magnification factor averaged over all configurations of lenses in a locally inhomogeneous universe satisfy a second order differential equation with redshift $z$ by taking the continuous limit of multi-plane gravitational lens equation (the number $N$ of lenses $\\to\\infty$) and that the gravitationally magnified Dyer-Roeder distance in a clumpy universe becomes to that of the Friedmann-Lema\\^{\\i}tre universe for arbitrary values of the density parameter $\\Omega_{0}$ and of a mass fraction $\\bar{\\alpha}$ (smoothness parameter).

Hiroshi Yoshida; Kouji Nakamura; Minoru Omote

2003-04-01T23:59:59.000Z

460

Exponential Speedup with a Single Bit of Quantum Information: Measuring the Average Fidelity Decay  

Science Journals Connector (OSTI)

We present an efficient quantum algorithm to measure the average fidelity decay of a quantum map under perturbation using a single bit of quantum information. Our algorithm scales only as the complexity of the map under investigation. Thus for those maps admitting an efficient gate decomposition, it provides an exponential speedup over known classical procedures. Fidelity decay is important in the study of complex dynamical systems, where it is conjectured to be a signature of eigenvector statistics. Our result also illustrates the role of chaos in the process of decoherence.

David Poulin; Robin Blume-Kohout; Raymond Laflamme; Harold Ollivier

2004-04-30T23:59:59.000Z

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.


461

MIT extraction method for measuring average subchannel axial velocities in reactor assemblies  

SciTech Connect (OSTI)

The MIT extraction method for obtaining flow split data for individual subchannels is described in detail. An analysis of the method is presented which shows that isokinetic values of the subchannel flow rates are obtained directly even though the method is non-isokinetic. Time saving methods are discussed for obtaining the average value of the interior region flow split parameter. An analysis of the method at low bundle flow rates indicates that there is no inherent low flow rate limitation on the method and suggests a way to obtain laminar flow split data.

Hawley, J.T.; Chiu, C.; Todreas, N.E.

1980-08-01T23:59:59.000Z

462

High-energy average charged multiplicities from nuclei in a Regge-calculus model  

Science Journals Connector (OSTI)

Lehman and Winbow have used a Gribov Reggeon-calculus approach to derive expressions for average charge multiplicities in high-energy scattering off nuclei. They find the multiplicity to be n=bY+f(A), where b is independent of A. We show that a reasonable modification of their model yields n=b?A13Y+g(A), where b? is known. We find that this expression agrees with experimental data on dndY (where Y=lns) better than that of Lehman and Winbow, and agrees as well as the energy flux model of Gottfried.

R. T. Cutler and Dale R. Snider

1976-03-01T23:59:59.000Z

463

Fleet-averaged engine matrices for Australian vehicles and their use in fuel economy modelling  

Science Journals Connector (OSTI)

Data obtained during standard chassis dynamometer testing at the University of Sydney is used to produce an engine fuel consumption matrix for the test vehicle. The matrix includes the effect of engine operational transients and is presented in a generalised engine parameter form which allows comparisons between dissimilar vehicles. A sufficient number of tests have been carried out to construct a fleet-averaged engine matrix for in-use Australian vehicles. A model is described which uses this matrix to predict the effect of variations in vehicle parameters and traffic flow patterns on the fuel consumption of a motor vehicle on the road or on the dynamometer.

T.J. Gibson; R.W. Bilger

1987-01-01T23:59:59.000Z

464

High Average Power Laser Gain Medium With Low Optical Distortion Using A Transverse Flowing Liquid Host  

DOE Patents [OSTI]

A high average power, low optical distortion laser gain media is based on a flowing liquid media. A diode laser pumping device with tailored irradiance excites the laser active atom, ion or molecule within the liquid media. A laser active component of the liquid media exhibits energy storage times longer than or comparable to the thermal optical response time of the liquid. A circulation system that provides a closed loop for mixing and circulating the lasing liquid into and out of the optical cavity includes a pump, a diffuser, and a heat exchanger. A liquid flow gain cell includes flow straighteners and flow channel compression.

Comaskey, Brian J. (Walnut Creek, CA); Ault, Earl R. (Livermore, CA); Kuklo, Thomas C. (Oakdale, CA)

2005-07-05T23:59:59.000Z

465

Use of energy-averaged cross sections for nuclear spectroscopy: Mg26 states in the continuum  

Science Journals Connector (OSTI)

Energy averaged cross sections for the C12(O18,?)Mg26 reaction were studied. Over 80 states between Ex(Mg26)=5and20 MeV were observed for many bombarding energies in the range E(O18)=46-50 MeV. Broad, noncorrelated structures observed in the excitation functions prevent the application of Hauser-Feshbach analysis for spin spectroscopy to this particular data set. By implication, our results cast doubt on the previously suggested backbend in the Mg26 yrast sequence.

M. M. Coimbra; N. Carlin Filho; A. Szanto de Toledo; P. M. Stwertka; M- G. Herman; N. G. Nicolis; T. M. Cormier

1984-12-01T23:59:59.000Z

466

Electric-field-dependent average resistance and the resistance fluctuation in one-dimensional disordered systems  

Science Journals Connector (OSTI)

Following an invariant-imbedding approach, we obtain analytical expressions for the ensemble-averaged resistance (?) and its Sinais fluctuations for a one-dimensional disordered conductor in the presence of a finite electric field F. The mean resistance shows a crossover from the exponential to the power-law length dependence with increasing field strength in agreement with known numerical results. More importantly, unlike the zero-field case the resistance distribution saturates to a Poissonian-limiting form proportional to A?F?exp(-A?F??) for large sample lengths, where A is constant.

G. V. Vijayagovindan, A. M. Jayannavar, and N. Kumar

1987-02-01T23:59:59.000Z

467

Table 7.4 Average Prices of Selected Purchased Energy Sources, 2010;  

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

4 Average Prices of Selected Purchased Energy Sources, 2010; 4 Average Prices of Selected Purchased Energy Sources, 2010; 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 Economic Electricity Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal Characteristic(a) (kWh) (gallons) (gallons) (1000 cu ft) (gallons) (short tons) Total United States Value of Shipments and Receipts (million dollars) Under 20 0.093 1.55 2.58 6.64 1.80 78.29 20-49 0.075 1.66 2.45 6.44 1.80 80.13 50-99 0.070 1.64 1.79 6.04 2.19 68.10 100-249 0.061 1.62 2.38 5.51 1.69 100.69 250-499 0.056 1.69 2.41 5.54 1.59 92.51 500 and Over 0.054 1.54 2.35 5.08 1.15 96.25 Total

468

Table 7.1 Average Prices of Purchased Energy Sources, 2010  

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

Average Prices of Purchased Energy Sources, 2010; Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Coal NAICS TOTAL Acetylene Breeze Total Anthracite Code(a) Subsector and Industry (million Btu) (cu ft) (short tons) (short tons) (short tons) Total United States 311 Food 9.12 0.26 0.00 53.43 90.85 3112 Grain and Oilseed Milling 6.30 0.29 0.00 51.34 50.47 311221 Wet Corn Milling 4.87 0.48 0.00 47.74 50.47 31131 Sugar Manufacturing 5.02 0.31 0.00 53.34 236.66 3114 Fruit and Vegetable Preserving and Specialty Foods 9.78 0.27 0.00 90.59 0.00 3115 Dairy Products 11.21 0.10 0.00 103.12 0.00 3116 Animal Slaughtering and Processing

469

Solar: monthly and annual average latitude tilt irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 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 regional averages; not point data.

470

U.S. Natural Gas Average Consumption per Industrial Consumer (Thousand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Consumer (Thousand Cubic Feet) Industrial Consumer (Thousand Cubic Feet) U.S. Natural Gas Average Consumption per Industrial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 0 0 0 0 0 0 1980's 39,245 37,530 30,909 29,915 24,309 30,956 29,057 30,423 32,071 30,248 1990's 32,144 33,395 35,908 38,067 40,244 40,973 43,050 36,239 36,785 35,384 2000's 36,968 33,840 36,458 34,793 34,645 31,991 33,597 33,561 29,639 29,705 2010's 35,418 36,947 38,155 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Average Natural Gas Consumption per Industrial

471

Conditional averaging on volumetric velocity fields for analysis of the pseudo-periodic organization of jet-in-crossflow vortices  

E-Print Network [OSTI]

Volumetric velocimetry measurements have been performed on a round jet in crossflow (JICF). Two kind of conditional averaging process are presented : a global conditional average (GCA) and a local conditional average (LCA). Vortices crossing the JICF symmetry plane are used to quantify the jet pseudo-periodicity leading to the GCA and LCA definitions. Because they make possible to improve the velocity field resolution as well as to significantly reduce the experimental noise, these conditional averages are an interesting and efficient way to study the instantaneous swirling structures of this instantaneous flow.

Cambonie, Tristan

2014-01-01T23:59:59.000Z

472

Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise Dataset  

Broader source: Energy.gov [DOE]

Excel file with dataset for Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise

473

Gregory H. Friedman: Before the U.S. House of Representatives Committee on  

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

Energy and Commerce Subcommittee on Oversight and Energy and Commerce Subcommittee on Oversight and Investigations Gregory H. Friedman: Before the U.S. House of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations April 5, 2005 Before the U.S. House of Representatives Committee on Energy and Commerce Subcommittee on Oversight and Investigations Statement of Gregory H. Friedman, Inspector General U.S. Department of Energy Request to testify on the results of our work at the Los Alamos National Laboratory, one of the Department of Energy's most prominent facilities. STATEMENT OF GREGORY H. FRIEDMAN INSPECTOR GENERAL U.S. DEPARTMENT OF ENERGY BEFORE THE U.S. HOUSE OF REPRESENTATIVES COMMITTEE ON ENERGY AND COMMERCE SUBCOMMITTEE ON OVERSIGHT AND INVESTIGATIONS, May 5, 2005

474

WHAT THE SMART GRID MEANS TO YOU AND THE PEOPLE YOU REPRESENT. | Department  

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

REPRESENT. REPRESENT. WHAT THE SMART GRID MEANS TO YOU AND THE PEOPLE YOU REPRESENT. The U.S. Department of Energy (DOE) is charged under the Energy Independence and Security Act of 2007 (EISA 2007) with modernizing the nation's electricity grid to improve its reliability and efficiency. As part of this effort, DOE is also responsible for increasing awareness of our nation's Smart Grid. Building upon The Smart Grid: An Introduction, a DOE-sponsored publication released in 2008 and available online at www.smartgrid.gov, this publication is one in a series of books designed to better acquaint discrete stakeholder groups with the promise and possibilities of the Smart Grid. Stakeholder groups include Utilities, Regulators, Policymakers, Technology Providers, Consumer Advocates and Environmental Groups.

475

On April 25, 2013, several representatives of energy efficiency advocacy organiz  

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

April 25, 2013, several representatives of energy efficiency advocacy organizations met with staff April 25, 2013, several representatives of energy efficiency advocacy organizations met with staff and members of the Compressed Air and Gas Institute (CAGI) along with some compressed air experts at the offices of the Alliance to Save Energy to explore and discuss a consensus approach to advancing energy efficiency of compressed air systems within the context of the DOE's potential rulemaking on compressors. The group discussed the need to assemble the relevant data and technical content that will be valuable in identifying possible pathways to achieve a meaningful and appropriate compressor standard that maximizes energy savings potential without creating an undue burden on the market. Representing the energy efficiency advocacy organizations were Tracy Kohler of the Compressed Air

476

December 17, 1998 Memo, Incentives for the Department's Facility Representative Program  

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

mE mE F 1325.8 (a89) EFG (U7-W) United States Government Department of Energy memorandum DATE: December 17, 1998 REPLY TO ATTN OF: FM- 10(J. Hassenfeldt, 202 586-1643) SUBJECT Incentives for the Department's Facility Representative Program TO:Distribution 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'?40 annual attrition rate of Facility Representatives

477

How Representative are the Cloud Regimes at the TWP Sites? … An ISCCP Perspective  

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

How Representative are the Cloud Regimes at the How Representative are the Cloud Regimes at the TWP Sites? - An ISCCP Perspective C. Jakob Bureau of Meteorology Research Centre Melbourne, Australia G. Tselioudis National Aeronautic and Space Administration Goddard Institute for Space Studies Columbia University New York Introduction The Atmospheric Radiation Measurement (ARM) Program has established comprehensive cloud and radiation observatories in various locations across the globe with the aim of collecting measurements and developing models to better understand the processes that control solar and thermal infrared radiative transfer in clouds and at the surface. The locales of the individual ARM sites were chosen because they represent typical cloud regimes occurring in various climate regimes (Stokes and Schwartz

478

Solar: monthly and annual average global horizontal irradiance GIS data at  

Open Energy Info (EERE)

irradiance GIS data at irradiance GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Global Horizontal IrradianceNASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Insolation Incident On A Horizontal Surface (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Note 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

479

FY 2010 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR  

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

FY 2010 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS FY 2010 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR FY 2010 FY 2006 FY 2007 FY 2008 FY 2009 FY 2010 National Targets Customer Perspective Objective: Customer Satisfaction 94 94 95 95 94 92 Core Measure: Customer Satisfaction Rating Internal Business Perspective Objective: Effective Internal Controls 94 95 97 97 95 N/A - locally set Core Measure: assessment of degree to which purchasing systems are in compliance Objective: Effective Supplier Management 83 83 84 86 85 84 Core Measure: % Delivery on-time, including Just-in-Time Objective: Use of Effective Competition 69 71 67 74 75 N/A - locally set

480

Solar: annual average direct normal (DNI) map at 40km resolution for  

Open Energy Info (EERE)

map at 40km resolution for map at 40km resolution for Central America from NREL Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for concentrating solar power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Central America direct normal DNI map NREL solar SWERA UNEP Data application/pdf icon Download Map (pdf, 67.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency

Note: This page contains sample records for the topic "represent quantity-weighted averages" from the National Library of EnergyBeta (NLEBeta).
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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

FY 2009 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR  

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

9 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS 9 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR FY 2009 FY2005 FY2006 FY 2007 FY 2008 FY 2009 National Tarpets Customer Perspective Objective: Customer Satisfaction Core Measure: Customer Satisfaction Rating Internal Business Perspective Objective: Effective Internal Controls 93 94 Core Measure: assessment of degree to which purchasing systems are in compliance Objective: Effective Supplier Management 8 1 83 Core Measure: % Delivery on-time, including Just-in-Time Objective: Use of Effective Competition 74 69 Core Measure: % of total dollars obligated on actions over $100,000 that were competed 97 97 N/A - locally set 84 8 6 84 67 74 N/A - locally set 2 FY 2009 FY 2005 FY 2006 FY 2007 FY 2008 FY2009 National Targets

482

Solar: monthly and annual average direct normal (DNI) GIS data at 10km  

Open Energy Info (EERE)

601 601 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142256601 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 10km resolution for Ethiopia from DLR Dataset Summary Description (Abstract): Data of high resolution (10kmx10km) Direct Normal Irradiance (DNI) for Ethiopia for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. Please read the country report for additional background information. (Purpose): The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country.

483

FY 2008 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR  

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

8 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS 8 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR FY 2008 FY 2004 FY 2005 FY2006 FY2007 FY2008 National Taraets Customer Perspective Objective: Customer Satisfaction 93 9 3 Core Measure: Customer Satisfaction Rating Internal Business Perspective Objective: Effective Internal Controls 95 93 Core Measure: assessment of degree to which purchasing systems are in compliance Objective: Effective Supplier Management 8 3 8 1 Core Measure: % Delivery on-time, including Just-in-Time Objective: Use of Effective Competition 7 1 74 Core Measure: % of total dollars obligated on actions over $100,000 that were competed N/A - locally set 84 N/A - locally set 2 FY 2008 FY 2004 FY 2005 FY2006 FY 2007 FY2008 National Tarpets

484

Measurement of average density and relative volumes in a dispersed two-phase fluid  

DOE Patents [OSTI]

An apparatus and a method are disclosed for measuring the average density and relative volumes in an essentially transparent, dispersed two-phase fluid. A laser beam with a diameter no greater than 1% of the diameter of the bubbles, droplets, or particles of the dispersed phase is directed onto a diffraction grating. A single-order component of the diffracted beam is directed through the two-phase fluid and its refraction is measured. Preferably, the refracted beam exiting the fluid is incident upon a optical filter with linearly varing optical density and the intensity of the filtered beam is measured. The invention can be combined with other laser-based measurement systems, e.g., laser doppler anemometry.

Sreepada, Sastry R. (Clifton Park, NY); Rippel, Robert R. (late of Scotia, NY)

1992-01-01T23:59:59.000Z

485

LARGE EDDY SIMULATION AND REYNOLDS-AVERAGED NAVIER-STOKES APPROACHES OF RIB ROUGHENED CHANNEL  

E-Print Network [OSTI]

In this paper, rib roughened channel are investigated numerically by large eddy simulation (LES) and Reynolds-averaged Navier-Stokes (RANS) approaches. Results are compared with each other in streamlines and velocity components. During the present analysis, working domain is considered as three-dimensional (3-D) and the flow is assumed fully turbulent. Domain geometry and grids are generated by using a pre-processor of GAMBIT and then solved iteratively by a commercially available CFD code of FLUENT 6.2.16. Main purpose of this study is to show the capability of the CFD solver and the effect of the rib on the flow by comparing two different solution techniques.

unknown authors

486

Deriving the Young-Ben Jelloul model of near-inertial waves by Whitham averaging  

E-Print Network [OSTI]

Oceanic near-inertial waves - internal waves with frequencies close to the local Coriolis frequency $f_0$ - are strongly influenced by the presence of mean currents. To study this influence, Young and Ben Jelloul (1997) derived an asymptotic model that describes the slow modulation of the amplitude of these waves about their rapid oscillation at frequency $f_0$. Here we show that this model can be obtained within a variational framework, by (Whitham) averaging the Lagrangian of the hydrostatic-Boussinesq equations over the wave period $2\\pi/f_0$. The derivation leads to a variational formulation of the Young-Ben Jelloul model from which its conservation laws can be obtained systematically.

Vanneste, Jacques

2014-01-01T23:59:59.000Z

487

Average and recommended half-life values for two neutrino double beta decay  

E-Print Network [OSTI]

All existing positive results on two neutrino double beta decay in different nuclei were analyzed. Using the procedure recommended by the Particle Data Group, weighted average values for half-lives of $^{48}$Ca, $^{76}$Ge, $^{82}$Se, $^{96}$Zr, $^{100}$Mo, $^{100}$Mo - $^{100}$Ru ($0^+_1$), $^{116}$Cd, $^{130}$Te, $^{136}$Xe, $^{150}$Nd, $^{150}$Nd - $^{150}$Sm ($0^+_1$) and $^{238}$U were obtained. Existing geochemical data were analyzed and recommended values for half-lives of $^{128}$Te, and $^{130}$Ba are proposed. Given the measured half-life values, nuclear matrix elements were calculated using latest (more reliable and precise) values for phase space factor. Finally, previous results (PRC 81 (2010) 035501) were up-dated and results for $^{136}$Xe were added.

A. S. Barabash

2015-01-21T23:59:59.000Z

488

Average summer electric power bills expected to be lowest in four years  

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

summer electric power bills expected to be lowest in summer electric power bills expected to be lowest in four years The average U.S. household is expected to pay $395 for electricity this summer. That's down 2.5% from last year and the lowest residential summer power bill in four years, according to the new forecast from the U.S. Energy Information Administration. Lower electricity use to meet cooling demand this summer because of forecasted milder temperatures compared with last summer is expected to more than offset higher electricity prices. The result is lower power bills for most U.S. households during the June, July, and August period. However electricity use and prices vary by region. EIA expects residential power bills will be lower in all areas of the country... except for the West South Central region, which includes

489

Review of the Facility Representative Program at the Idaho Site, March 2013  

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

of the Facility Representative Program at the Idaho Site March 2013 Office of Safety and Emergency Management Evaluations Office of Enforcement and Oversight Office of Health, Safety and Security U.S. Department of Energy Table of Contents 1.0 Purpose.................................................................................................................................................. ! 2.0 Scope ..................................................................................................................................................... ! 3.0 Background ........................................................................................................................................... 1 4.0 Results ..................................................................................................................................................

490

Laser Safety Web Resources The web links below represent varied resources for laser safety information and  

E-Print Network [OSTI]

Laser Safety Web Resources The web links below represent varied resources for laser safety endorsement by Georgia Tech. Please contact the Laser Safety Officer if you know of any helpful resources of Laser Physics and Technology, http://www.rp- photonics.com/encyclopedia.html Kentek, http

Houston, Paul L.

491

Literature List Arabatzis, T. 2006. Representing Electrons: A Biographical Approach to Theoretical  

E-Print Network [OSTI]

(Springer), pp. 13-28. Hacking, I. 1983. Representing and Intervening (Cambridge University Press), pp. 149-185, 210-232. Hacking, I. 1999. The Social Construction of What? (Harvard University Press), pp. 1-34, 63-99. Hacking, I. 2000. "How Inevitable Are the Results of Successful Science?" Philosophy of Science 67

492

curve represents degradation where all the cell wall is accessible to enzymes and the  

E-Print Network [OSTI]

curve represents degradation where all the cell wall is accessible to enzymes and the 'Within, van Gelder AH, Driehuis F (1997) Anim. Feed Sci Technol 66, 31-45 A role for plant enzymes- ystwyth, Ceredigion, SY23 3EB, UK) Proteolytic enzymes in plants are inti- mately involved in controlled

Boyer, Edmond

493

Results on CP Violation from Belle T.E. Browder representing the Belle Collaboration  

E-Print Network [OSTI]

Results on CP Violation from Belle T.E. Browder representing the Belle Collaboration Department of Physics, University of Hawaii, Honolulu, Hawaii Abstract. I describe the recent measurement of the CP In 1973, Kobayashi and Maskawa (KM) first proposed a model where CP violation is incorporated

Browder, Tom

494

Representing Energy Price Variability in Long-and Medium-term Hydropower Optimization  

E-Print Network [OSTI]

, 2002). The output of each hydropower plant is usually small relative to the overall energy market1 Representing Energy Price Variability in Long- and Medium- term Hydropower Optimization Marcelo A Department of Civil and Environmental Engineering, University of California, Davis, USA Journal of Water

Pasternack, Gregory B.

495

On the Possibility of Using Complex Values in Fuzzy Logic For Representing Inconsistencies  

E-Print Network [OSTI]

applications in mind, including the idea of applying fuzzy logic to control. In surprising contrast to Zadeh's initial predictions, fuzzy control has become the most successful area of applications of fuzzy logic (seeOn the Possibility of Using Complex Values in Fuzzy Logic For Representing Inconsistencies Hung T

Kreinovich, Vladik

496

University Safety Partners Mission Statement The University Safety Partners (USP) is a group of appointed representatives  

E-Print Network [OSTI]

the work environment at Stanford. The role of University Safety Partners is to: · Advise the UniversityUniversity Safety Partners Mission Statement The University Safety Partners (USP) is a group of appointed representatives who are responsible for the administration of the University's health and safety

497

XPS Investigations of Ruthenium Deposited onto Representative Inner Surfaces of Nuclear Reactor Containment Buildings  

E-Print Network [OSTI]

XPS Investigations of Ruthenium Deposited onto Representative Inner Surfaces of Nuclear Reactor in a nuclear power plant, interactions of gaseous RuO4 with reactor containment building surfaces (stainless, during nuclear reactor operation, the fission-product ruthenium will accumulate in the fuel. The quantity

Paris-Sud XI, Université de

498

Synthesizing Representative I/O Workloads Using Iterative Distillation Zachary Kurmas  

E-Print Network [OSTI]

Synthesizing Representative I/O Workloads Using Iterative Distillation Zachary Kurmas College proper- ties are "key" for a given workload and storage system. We have developed a tool, the Distiller, that automati- cally identifies the key properties ("attribute-values") of the workload. The Distiller then uses

Kurmas, Zachary

499

Patterns for Representing FMEA in Formal Specification of Control Systems Ilya Lopatkin, Alexei Iliasov,  

E-Print Network [OSTI]

Patterns for Representing FMEA in Formal Specification of Control Systems Ilya Lopatkin, Alexei, Finland {Yuliya.Prokhorova, Elena.Troubitsyna}@abo.fi Abstract -- Failure Modes and Effects analysis (FMEA) is a widely used technique for inductive safety analysis. FMEA provides engineers with valuable information

Southampton, University of

500

When is it Biased? Assessing the Representativeness of Twitter's Streaming API  

E-Print Network [OSTI]

When is it Biased? Assessing the Representativeness of Twitter's Streaming API Fred Morstatter tweets through the "Streaming API". Recently, research has pointed to evidence of bias in this source in the Streaming API data. We tackle the problem of finding sample bias without costly and restrictive Firehose

Liu, Huan