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1

File:EIA-Appalach6-WV-VA-BOE.pdf | Open Energy Information  

Open Energy Info (EERE)

Appalach6-WV-VA-BOE.pdf Appalach6-WV-VA-BOE.pdf Jump to: navigation, search File File history File usage Appalachian Basin, Southern West Virginia and Southwestern Virginia By 2001 BOE Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 17.02 MB, MIME type: application/pdf) Description Appalachian Basin, Southern West Virginia and Southwestern Virginia By 2001 BOE Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States West Virginia, Virginia File history Click on a date/time to view the file as it appeared at that time.

2

File:EIA-Appalach6-WV-VA-GAS.pdf | Open Energy Information  

Open Energy Info (EERE)

Appalach6-WV-VA-GAS.pdf Appalach6-WV-VA-GAS.pdf Jump to: navigation, search File File history File usage Appalachian Basin, Southern West Virginia and Southwestern Virginia By 2001 Gas Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 18.09 MB, MIME type: application/pdf) Description Appalachian Basin, Southern West Virginia and Southwestern Virginia By 2001 Gas Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States West Virginia, Virginia File history Click on a date/time to view the file as it appeared at that time.

3

Category:Elkins, WV | Open Energy Information  

Open Energy Info (EERE)

Elkins, WV Elkins, WV Jump to: navigation, search Go Back to PV Economics By Location Media in category "Elkins, WV" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Elkins WV Harrison Rural Elec Assn Inc.png SVFullServiceRestauran... 59 KB SVQuickServiceRestaurant Elkins WV Harrison Rural Elec Assn Inc.png SVQuickServiceRestaura... 60 KB SVHospital Elkins WV Harrison Rural Elec Assn Inc.png SVHospital Elkins WV H... 57 KB SVLargeHotel Elkins WV Harrison Rural Elec Assn Inc.png SVLargeHotel Elkins WV... 57 KB SVLargeOffice Elkins WV Harrison Rural Elec Assn Inc.png SVLargeOffice Elkins W... 58 KB SVMediumOffice Elkins WV Harrison Rural Elec Assn Inc.png SVMediumOffice Elkins ... 59 KB SVMidriseApartment Elkins WV Harrison Rural Elec Assn Inc.png

4

Category:Charleston, WV | Open Energy Information  

Open Energy Info (EERE)

WV WV Jump to: navigation, search Go Back to PV Economics By Location Media in category "Charleston, WV" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Charleston WV Harrison Rural Elec Assn Inc.png SVFullServiceRestauran... 59 KB SVQuickServiceRestaurant Charleston WV Harrison Rural Elec Assn Inc.png SVQuickServiceRestaura... 60 KB SVHospital Charleston WV Harrison Rural Elec Assn Inc.png SVHospital Charleston ... 57 KB SVLargeHotel Charleston WV Harrison Rural Elec Assn Inc.png SVLargeHotel Charlesto... 57 KB SVLargeOffice Charleston WV Harrison Rural Elec Assn Inc.png SVLargeOffice Charlest... 58 KB SVMediumOffice Charleston WV Harrison Rural Elec Assn Inc.png SVMediumOffice Charles... 60 KB SVMidriseApartment Charleston WV Harrison Rural Elec Assn Inc.png

5

US SoAtl VA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

SoAtl VA SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national average, but similar to those in neighboring states where electricity is the most common heating fuel. * Virginia homes are typically newer and larger than homes in other parts of the country. CONSUMPTION BY END USE

6

US SoAtl VA Site Consumption  

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

SoAtl VA SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national average, but similar to those in neighboring states where electricity is the most common heating fuel. * Virginia homes are typically newer and larger than homes in other parts of the country. CONSUMPTION BY END USE

7

DOE - Office of Legacy Management -- Reduction Pilot Plant - WV 01  

Office of Legacy Management (LM)

Reduction Pilot Plant - WV 01 Reduction Pilot Plant - WV 01 FUSRAP Considered Sites Site: REDUCTION PILOT PLANT (WV.01 ) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: International Nickel Company WV.01-1 Location: Cole Street at Alterizer Ave. , Huntington , West Virginia WV.01-2 Evaluation Year: 1987 WV.01-1 Site Operations: Manufactured powdered Nickel for use at Paducah and Portsmouth gaseous diffusion plants and Nickel plated a small quantity of Uranium slugs. WV.01-2 WV.01-1 Site Disposition: Eliminated - Limited quantities of radioactive material used on the site. Potential for residual radioactive material from AEC operations conducted at the site considered remote - confirmed by radiological survey. WV.01-1 WV.01-3

8

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Traci Rodosta Traci Rodosta Carbon Storage Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road PO Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov Joshua Hull Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-0906 joshua.hull@netl.doe.gov Erik Westman Principal Investigator Virginia Polytechnic Institute and State University 100 Holden Hall Blacksburg, VA 24061 540-0231-7510 Fax: 540-231-4070 ewestman@vt.edu PROJECT DURATION Start Date End Date 12/01/2009 12/31/2012 COST Total Project Value $257,818 DOE/Non-DOE Share $248,441 / $9,377 Government funding for this project is provided in whole or in part through the American Recovery and Reinvestment Act. P R OJ E C T FAC T

9

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

R R &D FAC T S Natural Gas & Oil R&D CONTACTS George Guthrie Focus Area Lead Office of Research and Development National Energy Technology Laboratory 626 Cochrans Mill Road Pittsburgh, PA 15236-0940 412-386-6571 george.guthrie@netl.doe.gov Kelly Rose Technical Coordinator Office of Research and Development National Energy Technology Laboratory 1450 Queen Avenue SW Albany, OR 97321-2152 541-967-5883 kelly.rose@netl.doe.gov PARTNERS Carnegie Mellon University Pittsburgh, PA Oregon State University Corvallis, OR Pennsylvania State University State College, PA University of Pittsburgh Pittsburgh, PA URS Corporation Pittsburgh, PA Virginia Tech Blacksburg, VA West Virginia University Morgantown, WV

10

West Virginia Smart Grid Implementation Plan (WV SGIP) Project  

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

WV DoE-NRCCE-APERC DRAFT February 16, 2009 WV DoE-NRCCE-APERC DRAFT February 16, 2009 1 West Virginia Smart Grid Implementation Plan (WV SGIP) Project APERC Report on Customer Complaints to WV PSC about Electric Power Service Ali Feliachi, Muhammad Choudhry, John Saymansky and Ed Sneckenberger February 16, 2009 Introduction APERC has appreciated that one of the most important sources for data on the consumer perspective of the current electric power grid in West Virginia would be the WV Public Service Commission (WV PSC). Thus, an email request was sent on December 19, 2008 to Byron Harris at the WV PSC to request any advice or approaches to determine customer and regulatory perspectives of the current electric power grid in WV. Customer Complaint Data Bryon Harris was able to provide a spreadsheet of customer complaints in West Virginia for

11

NETL: 2010 WV Science Bowl Information  

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

2010 WV Science Bowl 2010 WV Science Bowl The U.S. Department of Energy's National Energy Technology Laboratory (DOE/NETL) invites you to participate in one of the premier scientific events for high school students, the West Virginia High School Science Bowl 2010 on February 6, 2010. This will be NETL's 19th year sponsoring the high school competition. There is a change this year in the registration process from past years, all teams who are registering to complete, must do so through the National Science Bowl website. For those who are not familiar with the West Virginia Science Bowl here are some highlights: The competition is open to high school students (school, scouts, home school) from West Virginia. Complete eligibility requirements are located at the National Science Bowl website.

12

File:EIA-Appalach6-WV-VA-LIQ.pdf | Open Energy Information  

Open Energy Info (EERE)

LIQ.pdf LIQ.pdf Jump to: navigation, search File File history File usage Appalachian Basin, Southern West Virginia and Southwestern Virginia By 2001 Liquids Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 18.77 MB, MIME type: application/pdf) Description Appalachian Basin, Southern West Virginia and Southwestern Virginia By 2001 Liquids Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States West Virginia, Virginia File history Click on a date/time to view the file as it appeared at that time.

13

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

R& R& D FAC T S Natural Gas & Oil R&D CONTACTS George Guthrie Focus Area Lead Office of Research and Development National Energy Technology Laboratory 626 Cochrans Mill Road Pittsburgh, PA 15236-0940 412-386-6571 george.guthrie@netl.doe.gov Kelly Rose Technical Coordinator Office of Research and Development National Energy Technology Laboratory 1450 Queen Avenue SW Albany, OR 97321-2152 541-967-5883 kelly.rose@netl.doe.gov PARTNERS Carnegie Mellon University Pittsburgh, PA Oregon State University Corvallis, OR Pennsylvania State University State College, PA University of Pittsburgh Pittsburgh, PA URS Corporation Pittsburgh, PA Virginia Tech Blacksburg, VA West Virginia University Morgantown, WV

14

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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

Collins Ferry Road Morgantown, WV 26507-0880 412-386-6571 george.guthrie@netl.doe.gov Kelly Rose Technical Coordinator, Ultra-Deepwater Resources Portfolio Office of Research and...

15

VA Energy Management Action Plan  

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

VA Energy Management VA Energy Management Action Plan Ken Demers Chief, VA National Energy Business Center Purpose Cited Deficiencies Within VA's Previous Energy Program... *No comprehensive Department-wide policy *Lack of coordinated acquisition and investment strategies throughout the Administrations and Staff Offices *No uniform measurement and verification of energy usage *Unverifiable reporting mechanism *Lack of capturing "lessons learned" and best practices from previous experiences Potential Annual Savings ENERGY COST ($000) CONSUMPTION (Billion Btu) Baseline - FY 2005: $397,577 Baseline - FY 2005: 29,094 Savings Savings SOURCE OF SAVINGS FY 2007 FY 2008 Future TOTAL

16

DOE - Office of Legacy Management -- The Carborundum Co Inc - WV 02  

Office of Legacy Management (LM)

The Carborundum Co Inc - WV 02 The Carborundum Co Inc - WV 02 FUSRAP Considered Sites Site: THE CARBORUNDUM CO., INC (WV.02 ) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: AMAX Inc WV.02-1 Location: Wood County , West Virginia WV.02-1 Evaluation Year: 1982 WV.02-1 Site Operations: Produced high-grade Zirconium metal for use in construction of nuclear reactors for the Navy circa late-1950s and 1960s; Conducted small scale Zirconium and Uranium testing in the mid-1970s. WV.02-2 Site Disposition: Eliminated - AEC/NRC licensed site. No Authority for cleanup under FUSRAP WV.02-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Thorium, Uranium WV.02-2 Radiological Survey(s): Yes WV.02-3 Site Status: Eliminated from further consideration under FUSRAP

17

VA's Performance Contracting Program Overview | Department of...  

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

VA's Performance Contracting Program Overview VA's Performance Contracting Program Overview Presentation-given at the Fall 2012 Federal Utility Partnership Working Group (FUPWG)...

18

Category:Richmond, VA | Open Energy Information  

Open Energy Info (EERE)

VA VA Jump to: navigation, search Go Back to PV Economics By Location Media in category "Richmond, VA" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Richmond VA Virginia Electric & Power Co.png SVFullServiceRestauran... 64 KB SVQuickServiceRestaurant Richmond VA Virginia Electric & Power Co.png SVQuickServiceRestaura... 64 KB SVHospital Richmond VA Virginia Electric & Power Co.png SVHospital Richmond VA... 66 KB SVLargeHotel Richmond VA Virginia Electric & Power Co.png SVLargeHotel Richmond ... 62 KB SVLargeOffice Richmond VA Virginia Electric & Power Co.png SVLargeOffice Richmond... 69 KB SVMediumOffice Richmond VA Virginia Electric & Power Co.png SVMediumOffice Richmon... 64 KB SVMidriseApartment Richmond VA Virginia Electric & Power Co.png

19

West Virginia Smart Grid Implementation Plan (WV SGIP) Project  

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

West Virginia Smart Grid Implementation Plan (WV SGIP) Project West Virginia Smart Grid Implementation Plan (WV SGIP) Project APERC Report on Assessment of As-Is Grid by Non-Utility Stakeholders Introduction One goal of this grid modernization project is to assess the current status of the electric power grid in West Virginia in order to define the potential to implement smart grid technologies. Thus, an initial task of this project was to define the current state or "As-Is" grid in West Virginia. Financial and time constraints prohibited the development and execution of formal surveys to solicit input from the various stakeholders. However attempts were made to obtain their input through informal questionnaires and meeting with focus groups. list of stakeholders which

20

NEW IPA Received from the VA Processing IPAs with the VA  

E-Print Network [OSTI]

NEW IPA Received from the VA Processing IPAs with the VA NEW IPA Received from the VA data and contact PDRF OSR will inform DFA/Division Admin and PI that we received the IPA department for Letter of Rehire OSR will sign/return the IPA to the VA for processing DFA/DA responsibilities: OSR

Kay, Mark A.

Note: This page contains sample records for the topic "va wv average" 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

OU Veterans Association (OU-VA) Student Handbook / Educational Benefits  

E-Print Network [OSTI]

OU Veterans Association (OU-VA) Student Handbook / Educational Benefits VA Educational Benefits://vabenefits.vba.va.gov/vonapp. Please note that OU-VA does require a copy of your application. In the event that you

Oklahoma, University of

22

Guide to VA Mental Health Services  

E-Print Network [OSTI]

Guide to VA Mental Health Services for Veterans and Families Keitha R Beamer, MSN: PMHCNS, BC; CARN-AP #12;The most complex and dangerous conflicts, the most harrowing operations, and the most deadly wars.va.gov/vetdata/index.asp #12;Guiding Principals · Focus on Recovery · Coordinated Care for the Whole Person · Mental Health

Hardy, Christopher R.

23

DOE - Office of Legacy Management -- Reynolds Metals Co - VA 04  

Office of Legacy Management (LM)

Reynolds Metals Co - VA 04 Reynolds Metals Co - VA 04 FUSRAP Considered Sites Site: REYNOLDS METALS CO. (VA.04 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: Virginia-Carolina Chemical Corporation VA.04-1 Location: 818 Perry Street , Richmond , Virginia VA.04-1 Evaluation Year: 1985 VA.04-2 VA.04-3 Site Operations: Preparatory process development involving only gram quantities of uranium performed in the 1950s. VA.04-1 Site Disposition: Eliminated - Potential for contamination considered remote based on limited materials handled VA.04-2 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium VA.04-1 Radiological Survey(s): None Indicated VA.04-1 VA.04-4 Site Status: Eliminated from consideration under FUSRAP

24

Energy Department Recognizes City of Roanoke, VA for Leadership...  

Energy Savers [EERE]

Department Recognizes City of Roanoke, VA for Leadership in Better Buildings Challenge Energy Department Recognizes City of Roanoke, VA for Leadership in Better Buildings Challenge...

25

DOE - Office of Legacy Management -- Norfolk Naval Station - VA 05  

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

Norfolk Naval Station - VA 05 Norfolk Naval Station - VA 05 FUSRAP Considered Sites Site: NORFOLK NAVAL STATION (VA.05) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Norfolk , Virginia VA.05-1 Evaluation Year: 1993 VA.05-1 Site Operations: Demonstration of extinguishing a uranium fire at the Fire Fighters School for AEC contractors. VA.05-3 VA.05-2 Site Disposition: Eliminated - Potential for contamination considered remote based on the limited quantity of materials handled VA.05-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium VA.05-2 Radiological Survey(s): Yes - Health and Safety Monitoring during operations only VA.05-2 Site Status: Eliminated from consideration under FUSRAP

26

DOE - Office of Legacy Management -- Mobil Oil Corp - VA 01  

Office of Legacy Management (LM)

Mobil Oil Corp - VA 01 Mobil Oil Corp - VA 01 FUSRAP Considered Sites Site: Mobil Oil Corp. (VA.01 ) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: Virginia-Carolina Chemical Corporation VA.01-1 Location: 818 Perry Street , Richmond , Virginia VA.01-1 Evaluation Year: Circa 1987 VA.01-2 VA.01-3 Site Operations: Research/Development to recover Uranium as a byproduct of phosphate production; preparatory process for pilot plant scale operation at Nichols, Florida. VA.01-1 Site Disposition: Eliminated - Potential for residual radioactive contamination from small quantities of material used at the site is considered remote VA.01-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium VA.01-1

27

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...

28

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Program Technology Program Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov Dawn Deel Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-4133 dawn.deel@netl.doe.gov Sherry Mediati Business Contact California Energy Commission 1516 9th Street, MS 1 Sacramento, CA 95814 916-654-4204 smediati@energy.state.ca.us Mike Gravely Principal Investigator California Energy Commission 1516 Ninth Street, MS 43 Sacramento, CA 95814 916-327-1370 mgravely@energy.state.ca.us Elizabeth Burton Technical Director Lawrence Berkeley National Laboratory 1 Cyclotron Road, MS 90-1116 Berkeley, CA 94720 925-899-6397 eburton@lbl.gov West Coast Regional Carbon

29

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Hydrogen Turbines Hydrogen Turbines CONTACTS Richard A. Dennis Technology Manager, Turbines National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-4515 richard.dennis@netl.doe.gov Travis Shultz Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road PO Box 880 Morgantown, WV 26507-0880 304-285-1370 travis.shultz@netl.doe.gov Jacob A. Mills Principal Investigator Florida Turbine Technologies, Inc 1701 Military Trail Suite 110 Jupiter, FL 33458-7887 561-427-6349 jmills@fttinc.com PARTNERS None PROJECT DURATION Start Date End Date 06/28/2012 08/13/2015 COST Total Project Value $1,149,847 DOE/Non-DOE Share $1,149,847 / $0 AWARD NUMBER SC0008218 Air-Riding Seal Technology for Advanced Gas Turbine Engines-Florida Turbine

30

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Rodosta Rodosta Carbon Storage Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov Darin Damiani Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-4398 darin.damiani@netl.doe.gov Vivak Malhotra Principal Investigator Southern Illinois University Neckers 483A Mailcode: 4401 Carbondale, IL 62901 618-453-2643 Fax: 618-453-1056 vmalhotra@physics.siu.edu PARTNERS None Risk Assessment and Monitoring of Stored CO2 in Organic Rock under Non-Equilibrium Conditions Background Fundamental and applied research on carbon capture, utilization and storage (CCUS)

31

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

PO Box 880 PO Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov Andrea McNemar Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road PO Box 880 Morgantown, WV 26507 304-285-2024 andrea.mcnemar@netl.doe.gov Charles D. Gorecki Technical Contact Senior Research Manager Energy & Environmental Research Center University of North Dakota 15 North 23 rd Street, Stop 9018 Grand Forks, ND 58202-9018 701-777-5355 cgorecki@undeerc.org Edward N. Steadman Deputy Associate Director for Research Energy & Environmental Research Center University of North Dakota 15 North 23 rd Street, Stop 9018 Grand Forks, ND 58202-9018 701-777-5279 esteadman@undeerc.org John A. Harju Associate Director for Research Energy & Environmental Research Center University of North Dakota

32

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

CONTACTS Joseph Stoffa Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507-0880 304-285-0285 joseph.stoffa@netl.doe.gov Xingbo Liu Principal Investigator Dept. MechanaWest Virginia University P.O. Box 6106 Morgantown, WV 26506-6106 304-293-3339 xingbo.liu@mail.wvu.edu Shailesh D. Vora Technology Manager, Fuel Cells National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236-0940 412-386-7515 shailesh.vora@netl.doe.gov PARTNERS None PROJECT DURATION Start Date End Date 08/31/2012 09/30/2015 COST Total Project Value $634,839 DOE/Non-DOE Share $499,953 / $134,886 AWARD NUMBER FE0009675 Fundamental Understanding of Oxygen Reduction and Reaction Behavior and Developing High Performance and Stable

33

File:EIA-Appalach5-eastWV-BOE.pdf | Open Energy Information  

Open Energy Info (EERE)

Appalach5-eastWV-BOE.pdf Appalach5-eastWV-BOE.pdf Jump to: navigation, search File File history File usage Appalachian Basin, Eastern West Virginia and Western Maryland By 2001 BOE Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 17.26 MB, MIME type: application/pdf) Description Appalachian Basin, Eastern West Virginia and Western Maryland By 2001 BOE Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States West Virginia, Maryland File history Click on a date/time to view the file as it appeared at that time.

34

Hacia dnde va el teatro en Cali!  

E-Print Network [OSTI]

, damas alturistas del arte caleo, lagartos de coctel y, lo mejor, muchsima gente joven. La verdad es que el foro debi llamarse Hacia dnde va el TEC? pues el colocar en la mesa central a Enrique Buenaventura sita como centro de atencin sus... posiciones y reclamas. De otra parte un foro de esta naturaleza en la ciudad de Cali es un foro al TEC, causa y efecto de los logros y dificultades del teatro local. As que el foro se enfoc hacia la "Crisis del TEC," hecho cultural sin precedentes en la...

Cajamarca Castro, Orlando

1990-10-01T23:59:59.000Z

35

Albany, OR * Fairbanks, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Romanosky Romanosky Crosscutting Research Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507-0880 304-285-4721 robert.romanosky@netl.doe.gov Richard Dunst Project Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236-0940 412-386-6694 richard.dunst@netl.doe.gov Shizhong Yang Principal Investigator Southern University

36

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

37

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

38

SBOT WEST VIRGINIA NATIONAL ENERGY TECHNOLOGY LAB -WV POC Larry Sullivan  

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

WEST VIRGINIA WEST VIRGINIA NATIONAL ENERGY TECHNOLOGY LAB -WV POC Larry Sullivan Telephone (412) 386-6115 Email larry.sullivan@netl.doe.gov ADMINISTATIVE / WASTE / REMEDIATION Facilities Support Services 561210 Employment Placement Agencies 561311 Temporary Help Services 561320 Professional Employer Organizations 561330 Document Preparation Services 561410 Security Guards and Patrol Services 561612 Security Systems Services (except Locksmiths) 561621 Janitorial Services 561720 Landscaping Services 561730 Hazardous Waste Treatment and Disposal 562211 Remediation Services 562910 Materials Recovery Facilities 562920 All Other Miscellaneous Waste Management Services 562998 CONSTRUCTION Industrial Building Construction 236210 Commercial and Institutional Building Construction 236220 Power and Communication Line and Related Structures Construction

39

Communication and Collaboration Keep San Francisco VA Medical Center  

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

Communication and Collaboration Keep San Francisco VA Medical Communication and Collaboration Keep San Francisco VA Medical Center Project on Track Communication and Collaboration Keep San Francisco VA Medical Center Project on Track October 7, 2013 - 1:56pm Addthis San Francisco VA Medical Center The San Francisco VA Medical Center is saving more than $500,000 and almost 3 million kWh every year through a retrofit financed by FEMP's Super ESPC Program. Overview The Veterans Affairs Medical Center in San Francisco is saving almost 3 million kilowatt-hours of electricity, more than 70,000 therms of natural gas, and more than $500,000 annually. The energy savings are enough to power 400 homes and supply natural gas to more than 100 homes each year in California. These savings were realized by taking advantage of Super Energy

40

Microsoft Word - 2014 WVSB - WV HS letter (generic for PDF).docx  

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

610 Collins Ferry Road, P.O. Box 880, Morgantown, WV 26507-0880 626 Cochrans Mill Road, P.O. Box 10940, Pittsburgh, PA 15236-0940 610 Collins Ferry Road, P.O. Box 880, Morgantown, WV 26507-0880 626 Cochrans Mill Road, P.O. Box 10940, Pittsburgh, PA 15236-0940 REPLY TO: Morgantown Office  steven.woodruff@netl.doe.gov  Voice (304) 285-4175  Fax (304) 285-0903  www.netl.doe.gov September 23, 2013 Dear Science Chair or Principal: On behalf of the Secretary of Energy, I am pleased to announce the opening of the 2014 National Science Bowl, a tournament-style academic competition challenging students in the fields of science and mathematics. In support of the National Science Bowl, the U.S. Dept of Energy's National Energy Technology Laboratory is once again proud to host the West Virginia Regional Science Bowl. The WVSB is one of many regional competitions held for high school teams across

Note: This page contains sample records for the topic "va wv average" 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

Hydrogen Production and Dispensing Facility Opens at W. Va. Airport |  

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

Hydrogen Production and Dispensing Facility Opens at W. Va. Airport Hydrogen Production and Dispensing Facility Opens at W. Va. Airport Hydrogen Production and Dispensing Facility Opens at W. Va. Airport August 19, 2009 - 1:00pm Addthis Major General Allen Tackett of the National Guard's 130th Airlift Wing dispenses the first fill-up of hydrogen fuel from the Yeager facility. Major General Allen Tackett of the National Guard's 130th Airlift Wing dispenses the first fill-up of hydrogen fuel from the Yeager facility. Washington, D.C. -- A hydrogen production and dispensing station constructed and operated with support from the Office of Fossil Energy's National Energy Technology Laboratory (NETL) was officially opened Monday at the Yeager Airport in Charleston, W.Va. The facility is an example of how domestically produced fuels may be used to power a variety of vehicles

42

Leafy Biomass Gasifier for 15 kVA Diesel Genset  

Science Journals Connector (OSTI)

A 15 kVA diesel genset powered by a loose sugarcane leaves gasifier was successfully tested and long-term data ... 20-40 cm (water gage). The gasifier also produces char which is 2028% by ... . Tests conducted wi...

Anil K. Rajvanshi; Rajiv M. Jorapur

1993-01-01T23:59:59.000Z

43

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Maira Reidpath Maira Reidpath Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507-0880 304- 285-4140 maria.reidpath@netl.doe.gov Steven S.C. Chuang Principal Investigator The University of Akron Department of Chemical and Biomolecular Engineering 230 E. Buchtel Commons Akron, OH 44325 330-972-6993 schuang@uakron.edu PARTNERS None PROJECT DURATION Start Date End Date 09/01/2009 08/31/2013 COST Total Project Value $1,713,961 DOE/Non-DOE Share $1,370,977/$342,984 AWARD NUMBER Techno-Economic Analysis of Scalable Coal-Based Fuel Cells-University of Akron Background In this congressionally directed project, the University of Akron (UA) will develop a scalable coal fuel cell manufacturing process to a megawatt scale. UA has demonstrated the

44

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Maria Reidpath Maria Reidpath Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507-0880 304- 285-4140 maria.reidpath@netl.doe.gov Bogdan Gurau Principal Investigator NuVant Systems, Inc. 130 N West Street Crown Point, IN 46307 219-644-3232 b.gurau@nuvant.com PARTNERS None PROJECT DURATION Start Date End Date 08/01/2009 05/31/2013 COST Total Project Value $1,142,481 DOE/Non-DOE Share $913,985 / $228,496 AWARD NUMBER Improved Flow-field Structures for Direct Methanol Fuel Cells-NuVant Systems, Inc. Background In this congressionally directed project, NuVant Systems, Inc. (NuVant) will improve the performance of direct methanol fuel cells (DMFCs) by designing anode flow-fields specifically for the delivery of liquid methanol. The goal is to deliver concentrated

45

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

FACTS FACTS Carbon Storage - ARRA - GSRA CONTACTS Traci Rodosta Carbon Storage Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov Robert Noll Project Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236 412-386-7597 robert.noll@netl.doe.gov Joseph Labuz Principal Investigator University of Minnesota 500 Pillsbury Drive SE Room 122 CivE 0851 Minneapolis, MN 55455 612-625-9060 jlabuz@umn.edu PARTNERS None PROJECT DURATION Start Date End Date 12/01/2009 11/30/2012 COST Total Project Value $299,568 DOE/Non-DOE Share $299,568 / $0 PROJECT NUMBER DE-FE0002020 Government funding for this project is provided in whole or in part through the

46

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

PROJEC PROJEC T FAC TS Carbon Storage - ARRA - GSRA CONTACTS Traci Rodosta Carbon Storage Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507-0880 304-285-1345 traci.rodosta@netl.doe.gov Robert Noll Project Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236 412-386-7597 robert.noll@netl.doe.gov Gordon Bierwagen Principal Investigator North Dakota State University P.O. Box 6050 Department 2760 Fargo, ND 58108-6050 701-231-8294 gordon.bierwagen@ndsu.edu PARTNERS None PROJECT DURATION Start Date 12/01/2009 End Date 11/30/2011 COST Total Project Value $298,949 DOE/Non-DOE Share $298,949 / $0 PROJECT NUMBER DE-FE0002054 Government funding for this project is provided in whole or in part through the

47

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

ARRA - GSRA CONTACTS Traci Rodosta Carbon Storage Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road PO Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov Andrea Dunn Project Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236 412-386-7594 andrea.dunn@netl.doe.gov Jose Castillo Principal Investigator San Diego State University 5500 Campanile Drive San Diego, CA 92122 619-594-7205 castillo@myth.sdsu.edu PARTNERS Sienna Geodynamics and Consulting, Inc. PROJECT DURATION Start Date End Date 12/01/2009 11/30/2012 COST Total Project Value $299,993 DOE/Non-DOE Share $299,993 / $0 PROJECT NUMBER DE-FE0002069 Government funding for this project is provided in whole or in part through the

48

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Briggs White Briggs White Project Manager National Energy Technology Laboratory 3610 Collins Ferry Road P.O. Box 880 Morgantown, WV 26507-0880 304-285-5437 briggs.white@netl.doe.gov Jeff Stevenson Principal Investigator Pacific Northwest National Laboratory P.O. Box 999, MS K2-44 Richland, WA 99352 509-372-4697 jeff.stevenson@pnl.com PARTNERS Oak Ridge National Laboratory University of Connecticut PROJECT DURATION Start Date End Date 10/01/1999 09/30/2013 (annual continuations) COST Total Project Value $52,889,667 DOE/Non-DOE Share $52,889,667 / $0 AWARD NUMBER FWP40552 PR OJ E C T FAC T S Fuel Cells Low Cost Modular SOFC Development- Pacific Northwest National Laboratory Background The U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) has a mission to advance energy options to fuel our economy, strengthen our security,

49

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX  

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

Traci Rodosta Traci Rodosta Carbon Storage Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road PO Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov Karen Kluger Project Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236-0940 412-386-6667 karen.kluger@netl.doe.gov Gary Mavko Principal Investigator Stanford University 397 Panama Mall Stanford, CA 94305-2215 650-723-9438 Fax: 650-723-1188 mavko@stanford.edu PROJECT DURATION Start Date 12/01/2009 End Date 06/30/2013 COST Total Project Value $385,276 DOE/Non-DOE Share $295,777/ $89,499 Government funding for this project is provided in whole or in part through the American Recovery and Reinvestment Act. Rock Physics of Geologic Carbon Sequestration/Storage

50

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)

51

Albany, OR Anchorage, AK Morgantown, WV Pittsburgh, PA Sugar Land, TX Website: www.netl.doe.gov  

E-Print Network [OSTI]

Albany, OR · Anchorage, AK · Morgantown, WV · Pittsburgh, PA · Sugar Land, TX Website: www.netl-285-5437 briggs.white@netl.doe.gov Neil Nofziger Principal Investigator seM-coM company, Inc. 1040 North Westwood 304-285-4717 daniel.driscoll@netl.doe.gov PARTNERS University of Toledo Ceramatec, Inc. PROJECT

Azad, Abdul-Majeed

52

DOE - Office of Legacy Management -- Naval Proving Ground - VA 0-01  

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

Proving Ground - VA 0-01 Proving Ground - VA 0-01 FUSRAP Considered Sites Site: NAVAL PROVING GROUND (VA.0-01 ) Eliminated from further consideration under FUSRAP - Referred to DOD Designated Name: Not Designated Alternate Name: None Location: Dahlgren , Virginia VA.0-01-1 Evaluation Year: 1987 VA.0-01-1 Site Operations: Site operations were not specified; this site was identified on the 1954 Accountable Station Lists. VA.0-01-1 VA.0-01-2 Site Disposition: Eliminated - Referred to DOD VA.0-01-1 Radioactive Materials Handled: None Indicated Primary Radioactive Materials Handled: None Radiological Survey(s): None Indicated Site Status: Eliminated from further consideration under FUSRAP - Referred to DOD VA.0-01-1 Also see Documents Related to NAVAL PROVING GROUND VA.0-01-1 - DOE Letter; Fiore to Schafer; Referral of DOD or Former

53

,"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

54

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

55

DOE - Office of Legacy Management -- Reactor Site - Fort Belvoir - VA 0-02  

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

Reactor Site - Fort Belvoir - VA Reactor Site - Fort Belvoir - VA 0-02 FUSRAP Considered Sites Site: REACTOR SITE - FORT BELVOIR (VA.0-02 ) Eliminated from further consideration under FUSRAP - Referred to DOD Designated Name: Not Designated Alternate Name: None Location: Fort Belvoir , Virginia VA.0-02-1 Evaluation Year: 1987 VA.0-02-1 Site Operations: No evidence of AEC involvement with reactor operations. AEC conducted health and safety inspections of this site. Probably a licensed operation. VA.0-02-1 Site Disposition: Eliminated - Referred to DOD VA.0-02-1 Radioactive Materials Handled: Reactor fuel Primary Radioactive Materials Handled: Reactor Fuel Radiological Survey(s): Health and safety inspections VA.0-02-1 Site Status: Eliminated from further consideration under FUSRAP - Referred to DOD VA.0-02-1

56

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

57

Contract Connections @ ChallengeHER, Norfolk VA, October 14  

Broader source: Energy.gov [DOE]

The U.S. Small Business Administration (SBA), Women Impacting Public Policy (WIPP), and American Express OPEN have partnered to host this special FREE contracting event for women business owners. American Express OPEN will hold a Contract Connections session at the ChallengeHER Norfolk Event, on October 14th, 2014 at the Webb University Center, Norfolk, VA.

58

Polarized Muon Decay at Rest with V+A Interaction  

E-Print Network [OSTI]

In this paper, we analyze the polarized muon decay at rest (PMDaR) and elastic neutrino-electron scattering (ENES) admitting the non-standard V+A interaction in addition to standard V-A interaction. Considerations are made for Dirac massive muon neutrino and electron antineutrino. Moreover, muon neutrinos are transversely polarized. It means that the outgoing muon-neutrino beam is a mixture of the left- and right-chirality muon neutrinos and has a fixed direction of transverse spin polarization with respect to production plane. We show that the angle-energy distribution of muon neutrinos contains the interference terms between the standard V-A and exotic V+A couplings, which are proportional to the transverse components of muon neutrino spin polarization. They do not vanish in a limit of massless neutrino and include the relative phases to test the CP violation. In consequence, it allows to calculate a neutrino flux and an expected event number in the ENES (detection process) both for the standard model prediction and the case of neutrino left-right mixture.

W. Sobkw; S. Ciechanowicz; M. Misiaszek

2011-02-07T23:59:59.000Z

59

Health and Wellness @ U.Va. Department of Student Health  

E-Print Network [OSTI]

Health and Wellness @ U.Va. Department of Student Health Counseling and Psychological Services "Without health there is no happiness. An attention to health, then, should take the place of every other on Accreditation of Healthcare Organizations 2013 Parents Handbook p. 36-41 #12;Student Health Services · 12:30am-2

Acton, Scott

60

E-Print Network 3.0 - analyze va shenasai Sample Search Results  

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

is how an organism Summary: 12;87Analyzing the effect of wind on flight migration dataset (APM) between Va and Vg-Va using... . Furthermore, we focus on the analysis of air...

Note: This page contains sample records for the topic "va wv average" 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

E-Print Network 3.0 - adenovirus va rna-derived Sample Search...  

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

va rna-derived Search Powered by Explorit Topic List Advanced Search Sample search results for: adenovirus va rna-derived Page: << < 1 2 3 4 5 > >> 1 MINI REVIEW MODIFIED...

62

E-Print Network 3.0 - avalieye tarahi va Sample Search Results  

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

RESEARCH (PROGRAM... ) FUNDS NOT SALARIED BY VA 1. NAME: 2. DEGREE: 3. SSN: 4. VA TITLE: CONTRACT WOC INVESTIGATOR'S SIGNATURE... Table 8) Code (If code 99, enter name of...

63

E-Print Network 3.0 - annamria zskai va Sample Search Results  

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

RESEARCH (PROGRAM... ) FUNDS NOT SALARIED BY VA 1. NAME: 2. DEGREE: 3. SSN: 4. VA TITLE: CONTRACT WOC INVESTIGATOR'S SIGNATURE... Table 8) Code (If code 99, enter name of...

64

V.A. HOSPITAL QUALITY MONITORS: 19881997 Mike West, Omar Aguilar & Viridiana Lourdes  

E-Print Network [OSTI]

V.A. HOSPITAL QUALITY MONITORS: 1988­1997 Mike West, Omar Aguilar & Viridiana Lourdes Institute, 1998 This report discusses reanalysis of VA hospital quality monitor data sets as described in West and Aguilar (1997) ``Studies of Quality Monitor Time Series: The V.A. Hospital System. In Fall 1998 the data

West, Mike

65

V.A. HOSPITAL QUALITY MONITORS: 1988-1997 Mike West, Omar Aguilar & Viridiana Lourdes  

E-Print Network [OSTI]

V.A. HOSPITAL QUALITY MONITORS: 1988-1997 Mike West, Omar Aguilar & Viridiana Lourdes Institute, 1998 This report discusses reanalysis of VA hospital quality monitor data sets as described in West and Aguilar 1997 Studies of Quality Monitor Time Series: The V.A. Hospital System. In Fall 1998 the data set

West, Mike

66

VA-4-B Wholesale Power Rate Schedule | Department of Energy  

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

4-B Wholesale Power Rate Schedule 4-B Wholesale Power Rate Schedule VA-4-B Wholesale Power Rate Schedule Area: Virginia Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina served through the transmission facilities of Virginia Electric and Power Company (hereinafter called the Company) and PJM Interconnection LLC (hereinafter called PJM). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download VA-4-B Rate Schedule More Documents & Publications

67

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

68

Safety of Carotid Endarterectomy in a High-Risk Population: Lessons from the VA and Connecticut  

Science Journals Connector (OSTI)

Background The safety and efficacy of carotid endarterectomy (CEA) have been demonstrated in randomized trials, but these studies excluded patients thought to be at higher risk for poor outcomes. We sought to determine whether patients undergoing CEA in Veteran Affairs Hospitals (VA) were at higher risk and had different outcomes, compared with patients in nonfederal hospitals. Study Design Records of all CEA performed in the VA Connecticut Healthcare System between October 1997 and September 2002 were examined and compared with CEA performed in all nonfederal Connecticut hospitals (CT). Results There were 7,089 \\{CEAs\\} performed (VA, 140; CT, 6,949). VA patients had increased comorbidity scores and symptomatic presentation (39% versus 14%; p Connecticut. These results suggest not only that patients undergoing vascular surgery at the VA may form a higher-risk population compared with patients receiving care in non-VA hospitals, but that these high-risk patients can undergo CEA safely.

Jeffrey S. Weiss; Patricia Dumas; Charles Cha; Richard J. Gusberg; Alan Dardik

2006-01-01T23:59:59.000Z

69

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

70

VA-2-B Wholesale Power Rate Schedule | Department of Energy  

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

2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule VA-2-B Wholesale Power Rate Schedule Area: Virginia Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina to whom power may be transmitted pursuant to contracts between the Government, Virginia Electric and Power Company (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download

71

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

72

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

73

Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006 Understanding and Pushing the Limits  

E-Print Network [OSTI]

Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006 Understanding and Pushing pinning " #12;Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006

74

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)

75

W.Va. Mom Sees Benefits of Weatherization | Department of Energy  

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

W.Va. Mom Sees Benefits of Weatherization W.Va. Mom Sees Benefits of Weatherization W.Va. Mom Sees Benefits of Weatherization April 2, 2010 - 2:43pm Addthis Joshua DeLung Not only is Rachael McCarty working full-time and going to college, but also she's a full-time single mom of two small children. After moving to Bluefield, W.Va., from California a few years ago, Rachel bought her first home, a property that needed some work. "It's a very, very old house, and it didn't really have any insulation," she says. Last year, Rachael was approved for the weatherization assistance program from Community Action of South Eastern West Virginia. The agency installed a new furnace and insulation, along with a new hot water heater and weather stripping for the doors. She says the house was much easier to heat this

76

VaPa - nuorten varhennettu kuntoutus Lappeenrannassa; Backdated rehabilitation of youngsters in Lappeenranta.  

E-Print Network [OSTI]

??Kehittmishanke ksittelee Lappeenrannassa vuosina 2001-2003 toteutettua nuorten varhennettua kuntoutusta VaPa- hanketta. Kuntoutuskokeilun jrjestettiin Lappeenrannan sosiaali- ja terveysviraston ostopalveluna yhteis-voimin Lappeenrannan Kelan, tyvoimatoimiston ja toteuttajatahon Laptuote-stin (more)

Korja,Minna-Liisa

2006-01-01T23:59:59.000Z

77

DOE Zero Energy Ready Home Case Study: Promethean Homes, Charlottesville, VA  

Broader source: Energy.gov [DOE]

Case study of a DOE Zero Energy Ready home in Charlottesville, VA, that achieves a HERS 33 without PV. The 2,572-ft2 custom home with daylight basement, has 2x6 advanced framed walls filled with R...

78

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)...

79

12th International Conference on Nuclear Engineering Arlington, VA, April 25-29, 2004  

E-Print Network [OSTI]

that the nuclear reactor sector has acquired over the years. Keywords: Irradiation, beam targets, high-power proton1 12th International Conference on Nuclear Engineering Arlington, VA, April 25-29, 2004 ICONE12 Laboratory, UPTON NY 11973, USA 2 Princeton University, Princeton, NJ, USA 3 KEK, Tsukuba, Japan simos

McDonald, Kirk

80

Matching between Reaction and Catalyst Conditions in Growing VA-SWNTs by ACCVD  

E-Print Network [OSTI]

Matching between Reaction and Catalyst Conditions in Growing VA-SWNTs by ACCVD Hisashi Sugime1 of the catalyst nanoparticles is a crucial issue. Co-Mo binary catalysts effectively grow SWNTs either from CO [1/3 for the former [1] and 1.6/1 for the latter [2]. The structure of catalyst nanoparticles should be determined

Maruyama, Shigeo

Note: This page contains sample records for the topic "va wv average" 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

Energy Secretary Moniz's Remarks at Hampton University in Hampton, Va.-- As Prepared for Delivery  

Broader source: Energy.gov [DOE]

Today, Secretary of Energy Ernest Moniz traveled to Hampton Roads, Va. to highlight President Obamas State of the Union address at Hampton University, one of the nations top historically black universities and a leader in science, technology, engineering and math (STEM) education.

82

Economic Impact of the ACESA of 2009 on the W.Va. Economy 1 Policy Brief  

E-Print Network [OSTI]

Economic Impact of the ACESA of 2009 on the W.Va. Economy 1 Policy Brief: Economic Impact.D. Bureau of Business and Economic Research College of Business and Economics West Virginia University May concern over the effects of the current recession. The ARRA was designed to spur economic activity

Mohaghegh, Shahab

83

DOE Spent Nuclear Fuel Information In Support of TSPA-VA  

SciTech Connect (OSTI)

RW has started the viability assessment (VA) effort to determine the feasibility of Yucca Mountain as the first geologic repository for spent nuclear fuel (SNF) and high-level waste. One component of the viability assessment will be a total system performance assessment (TSPA), based on the design concept and the scientific data and analysis available, describing the repository's probable behavior relative to the overall system performance standards. Thus, all the data collected from the Exploratory Studies Facility to-date have been incorporated into the latest TSPA model. In addition, the Repository Integration Program, an integrated probabilistic simulator, used in the TSPA has also been updated by Golder Associates Incorporated at December 1997. To ensure that the Department of Energy-owned (DOE-owned) SNF continues to be acceptable for disposal in the repository, it will be included in the TSPA-VA evaluation. A number of parameters are needed in the TSPA-VA models to predict the performance of the DOE-owned SNF materials placed into the potential repository. This report documents all of the basis and/or derivation for each of these parameters. A number of properties were not readily available at the time the TSPA-VA data was requested. Thus, expert judgement and opinion was utilized to determine a best property value. The performance of the DOE-owned SNF will be published as part of the TSPA-VA report. Each DOE site will be collecting better data as the DOE SNF program moves closer to repository license application. As required by the RW-0333P, the National Spent Nuclear Fuel Program will be assisting each site in qualifying the information used to support the performance assessment evaluations.

A. Brewer; D. Cresap; D. Fillmore; H. Loo; M. Ebner; R. McCormack

1998-09-01T23:59:59.000Z

84

Record of Decision and Floodplain Statement of Findings: Western Greenbrier Co-Production Demonstration Project, Rainelle, Greenbrier County, WV (DOE/EIS-0361) (04/29/08)  

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

14 Federal Register 14 Federal Register / Vol. 73, No. 83 / Tuesday, April 29, 2008 / Notices DEPARTMENT OF ENERGY Record of Decision and Floodplain Statement of Findings: Western Greenbrier Co-Production Demonstration Project, Rainelle, Greenbrier County, WV AGENCY: Office of Fossil Energy, U.S. Department of Energy (DOE). ACTION: Record of Decision (ROD) and Floodplain Statement of Findings. SUMMARY: DOE has decided to implement the Proposed Action alternative, identified as the preferred alternative, in the Western Greenbrier Co-Production Demonstration Project, Final Environmental Impact Statement (DOE/EIS-0361; November 2007) (FEIS). That alternative is to provide approximately $107.5 million (up to 50% of the development costs) to Western Greenbrier Co-Generation, LLC

85

SOFC Anode Interaction with Trace Coal Syngas Species U.S. Dept of Energy, National Energy Technology Laboratory, Morgantown, WV 26507  

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

SOFC Anode Interaction with Trace Coal Syngas Species SOFC Anode Interaction with Trace Coal Syngas Species U.S. Dept of Energy, National Energy Technology Laboratory, Morgantown, WV 26507 Gregory Hackett, Kirk Gerdes, Randall Gemmen Phone: (304)285-5279, Gregory.Hackett@NETL.DOE.GOV Utilization of coal as a fuel source for highly efficient integrated gasification fuel cell (IGFC) power generation facilities is technologically and environmentally attractive. IGFC plants are expected to offer the highest efficiency coal gasification processes, even when carbon capture and storage systems are included in the design. One element of IGFC research at the National Energy Technology Laboratory is the investigation of syngas cleanup processes for these integrated systems. Of particular interest are the effects of trace elements naturally contained in

86

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 +

87

Naval Station Norfolk, VA- Energy Conservation Program UESC Partnership Success Story  

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

Station Norfolk, VA Station Norfolk, VA Energy Conservation Program UESC Partnership Success Story 20 November 2008 2 Agenda Background Basis for Success Phase I Phase I Mod 01 Phase II Other / Future Program Aspects Why the Partnership Works 3 Background Minimal structured plan for NS Norfolk prior to 2006 Other MidLant Installations had aggressive ESPC programs in place The largest US Navy Installation in the World had only scratched the surface on all the opportunities for energy conservation Decision made to establish long term UESC partnership / program with VNG 4 NS Norfolk Basis for Success Focus on long term partnership with Utility to meet infrastructure needs and energy goals Gear project efforts to support core Mission of NS Norfolk Long term benefits more important than strict

88

File:USDA-CE-Production-GIFmaps-VA.pdf | Open Energy Information  

Open Energy Info (EERE)

VA.pdf VA.pdf Jump to: navigation, search File File history File usage Virginia Ethanol Plant Locations Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 380 KB, MIME type: application/pdf) Description Virginia Ethanol Plant Locations Sources United States Department of Agriculture Related Technologies Biomass, Biofuels, Ethanol Creation Date 2010-01-19 Extent State Countries United States UN Region Northern America States Virginia External links http://www.nass.usda.gov/Charts_and_Maps/Ethanol_Plants/ File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:22, 27 December 2010 Thumbnail for version as of 16:22, 27 December 2010 1,650 × 1,275 (380 KB) MapBot (Talk | contribs) Automated bot upload

89

Case Study - The Department of Veterans Affairs West Haven Campus, VA  

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

The Department of Veterans Affairs West Haven Campus, The Department of Veterans Affairs West Haven Campus, VA Connecticut Health Care System Case Study - The Department of Veterans Affairs West Haven Campus, VA Connecticut Health Care System October 7, 2013 - 1:59pm Addthis Overview The West Haven (Connecticut) Campus of the Veterans Affairs Connecticut Health Care System was the first Veteran's Hospital to award a shared energy savings (SES) contract (now known as energy savings performance contracts). The project involves replacement of the lighting system, installation of a cooling system, maintenance of the new chiller equipment, and several smaller efforts. Up-front costs are being provided through a $3.9 million investment by the contractor, EUA Cogenex, about $400,000 in rebates from the local utilities for gas and electric service (Southern

90

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

91

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)","(%)"

92

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...

93

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

94

Does species diversity really drive speciation? Henrique M. Pereira, Va^nia M. Proenca and Luis Vicente  

E-Print Network [OSTI]

Does species diversity really drive speciation? Henrique M. Pereira, Va^nia M. Proenc¸a and Luis Vicente H. M. Pereira (hpereira@stanfordalumni.org), CEHIDRO, Dept Civil Engineering, Inst. Superior Te

Pereira, Henrique Miguel

95

Validation of KENO V.a with ENDF/B-V cross sections for {sup 233}U systems  

SciTech Connect (OSTI)

A multigroup Monte carlo code KENO V.a is maintained at the ORNL as part of the standardized cmoputer analysis for licensing evaluation (SCALE) system. Included in the SCALE system are the 238-and 44-energy group ENDF/B-V cross section libraries. The purpose of this work was to validate the ENDF/B-V and KENO V.a for uranium 233 systems.

Dunn, M.E.; Basoglu, B.; Bentley, C.L.; Haught, C.; Plaster, M.J.; Wilkinson, A.D.; Yamamoto, T.; Dodds, H.L. [Univ. of Tennessee, Knoxville, TN (United States)

1994-12-31T23:59:59.000Z

96

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

97

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

98

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

99

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

100

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.

Note: This page contains sample records for the topic "va wv average" 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

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,

102

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

103

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

104

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

105

¿A dónde se va la energía?  

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

¿A dónde se va la energía? ¿A dónde se va la energía? Sólo aproximadamente el 14% -26% de la energía del combustible que usted pone en su tanque se usa para mover su coche o operar accesorios útiles, como el aire acondicionado. El resto de la energía es perdida en ineficiencias del motor, de la líínea de conducción y al estar a ralentí. Por lo tanto, el potencial para mejorar la eficiencia del combustible con tecnologías avanzadas es enorme. Combinadas Ciudad Carretera Conducir en Ciudad Los requerimientos de energía mostrados en el diagrama se calcularon conduciendo por la ciudad en el modo para-avanzar usando el procedimiento de la EPA FTP-75 Test. Perdidas de Motor En vehículos propulsados por gasolina, gran parte de la energía del combustible se pierde en el motor, primordialmente al calentarse. Pequeñas

106

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

107

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

108

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)

109

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

110

Effect of flow rate of ethanol on growth dynamics of VA-SWNT -Transition from no-flow CVD to normal ACCVD  

E-Print Network [OSTI]

Effect of flow rate of ethanol on growth dynamics of VA-SWNT - Transition from no-flow CVD a growth model [2]. In this study, the flow rate of ethanol during the CVD was controlled precisely. Figure 1 shows the growth curve of VA-SWNT film for various ethanol flow rates. In the figure, "No

Maruyama, Shigeo

111

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

112

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...

113

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

114

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....

115

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

116

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...

117

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...

118

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,...

119

Comparing Extinction Rates: Past, Present, and Future Va^nia Proenc-a and Henrique Miguel Pereira, Faculdade de Cie^ncias da Universidade de Lisboa, Lisboa, Portugal  

E-Print Network [OSTI]

Comparing Extinction Rates: Past, Present, and Future Va^nia Proenc-a and Henrique Miguel Pereira et al., 2005; Pereira et al., 2010a). This is very worrying because species extinction

Pereira, Henrique Miguel

120

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

Note: This page contains sample records for the topic "va wv average" 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

Notice of Intent to prepare an Environmental Impact Statement for the Western Greenbrier Co-Production Demonstration Project, Rainelle, WV and Notice of Floodplain/Wetlands Involvement (6/3/03)  

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

11 11 Federal Register / Vol. 68, No. 106 / Tuesday, June 3, 2003 / Notices Dated: May 27, 2003. Judge Eric Andell, Deputy Under Secretary for Safe and Drug- Free Schools. [FR Doc. 03-13836 Filed 6-2-03; 8:45 am] BILLING CODE 4000-01-P DEPARTMENT OF ENERGY Notice of Intent To Prepare an Environmental Impact Statement for the Western Greenbrier Co-Production Demonstration Project, Rainelle, WV and Notice of Floodplain/Wetlands Involvement AGENCY: Department of Energy. ACTION: Notice of Intent to prepare an Environmental Impact Statement and Notice of Floodplain/Wetlands Involvement. SUMMARY: The U.S. Department of Energy (DOE) announces its intent to prepare an Environmental Impact Statement (EIS) pursuant to the National Environmental Policy Act (NEPA), the

122

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:

123

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.

124

Single-cycle terahertz pulses with >0.2 V/A field amplitudes via coherent transition radiation  

SciTech Connect (OSTI)

We demonstrate terahertz pulses with field amplitudes exceeding 0.2 V/A generated by coherent transition radiation. Femtosecond, relativistic electron bunches generated at the Linac Coherent Light Source are passed through a beryllium foil, and the emitted radiation is characterized as a function of the bunch duration and charge. Broadband pulses centered at a frequency of 10 THz with energies of 140 {mu}J are measured. These far-below-bandgap pulses drive a nonlinear optical response in a silicon photodiode, with which we perform nonlinear autocorrelations that yield information regarding the terahertz temporal profile. Simulations of the spatiotemporal profile agree well with experimental results.

Daranciang, Dan [Department of Chemistry, Stanford University, Stanford, California 94305 (United States); PULSE Institute for Ultrafast Energy Science, SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States); Goodfellow, John [Department of Materials Science and Engineering, Stanford University, Stanford, California 94305 (United States); Stanford Institute for Materials and Energy Science, SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States); Fuchs, Matthias; Ghimire, Shambhu [PULSE Institute for Ultrafast Energy Science, SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States); Wen, Haidan [Advanced Photon Source, Argonne National Laboratory, Argonne, Illinois 60439 (United States); Reis, David A. [PULSE Institute for Ultrafast Energy Science, SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States); Stanford Institute for Materials and Energy Science, SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States); Department of Applied Physics, Stanford University, Stanford, California 94305 (United States); Loos, Henrik; Fisher, Alan S. [Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States); Lindenberg, Aaron M. [PULSE Institute for Ultrafast Energy Science, SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States); Department of Materials Science and Engineering, Stanford University, Stanford, California 94305 (United States); Stanford Institute for Materials and Energy Science, SLAC National Accelerator Laboratory, Menlo Park, California 94025 (United States)

2011-10-03T23:59:59.000Z

125

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...

126

,"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"

127

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

128

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

129

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

130

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

131

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

132

Search for V+A current in top quark decay in p anti-p collisions at s**(1/2) = 1.96-TeV  

SciTech Connect (OSTI)

The authors report an upper limit on the fraction of V + A current, f{sub V+A}, in top quark decays, using approximately 700 pb{sup -1} of p{bar p} collisions at {radical}s = 1.96 TeV acquired by the upgraded Collider Detector at Fermilab. For the decay t {yields} wb {yields} {ell}vb (where {ell} = e or {mu}), the invariant mass of the charged lepton and the bottom quark jet is sensitive to the polarization of the W boson. They determine f{sub V+A} = -0.06 {+-} 0.25 given a top quark mass of 175 GeV/c{sup 2}. They set an upper limit on f{sub V+A} of 0.29 at the 95% confidence level, which represents an improvement by a factor of two on the previous best direct limit.

Abulencia, A.; Adelman, J.; Affolder, T.; Akimoto, T.; Albrow, M.G.; Ambrose, D.; Amerio, S.; Amidei, D.; Anastassov, A.; Anikeev, K.; Annovi, A.; /Taiwan, Inst. Phys.

2006-08-01T23:59:59.000Z

133

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

134

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

135

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)

136

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

137

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....

138

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...

139

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

140

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

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


141

Table 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...

142

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"

143

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.

144

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.

145

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.

146

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

147

Estimating VaR and ES of the spot price of oil using futures-varying centiles  

Science Journals Connector (OSTI)

This paper illustrates the power of modern statistical modelling in estimating measures of market risk, here applied to the Brent and WTI spot price of oil. Both Value-at-Risk (VaR) and Expected Shortfall (ES) are cast in terms of conditional centiles based upon semi-parametric regression models. Using the GAMLSS statistical framework, we stress the important aspects of selecting a highly flexible parametric distribution (skewed Student's t-distribution) and of modelling both skewness and kurtosis as non-parametric functions of the price of oil futures. Furthermore, an empirical application characterises the relationship between spot oil prices and oil futures - exploiting the futures market to explain the dynamics of the physical market. Our results suggest that NYMEX WTI has heavier tails compared with the ICE Brent. Contrary to the common platitude of the industry, we argue that 'somebody knows something' in the oil business.

Giacomo Scandroglio; Andrea Gori; Emiliano Vaccaro; Vlasios Voudouris

2013-01-01T23:59:59.000Z

148

Validation of KENO V.a with ENDF/B-V cross sections for {sup 233}U systems  

SciTech Connect (OSTI)

The multigroup Monte Carlo code KENO V.a and the 238- and 44-energy-group ENDF/B-V cross-section libraries were validated for {sup 233}U systems. Fifty-one critical experiments involving {sup 233}UO{sub 2}(NO{sub 3}){sub 2}, {sup 233}UO{sub 2}F{sub 2}, or {sup 233}U metal were selected for the validation. The H/{sup 233}U ratios for the experiments range from 0 to 1986. Each experiment was modeled with KENO V.a, and the effective multiplication factor k{sub eff} was calculated for each system using the 44- and 238-group ENDF/B-V, the 27- and 218-group ENDF/B-IV, and the 16-group Hansen-Roach cross-section libraries. The mean calculated k{sub eff} for all experiments using the 44- and 238-group libraries is 1.0090 {+-} 0.0021 and 1.0064 {+-} 0.0020, respectively. For comparison, the mean calculated k{sub eff} using the 27-, 218-, and 16-group libraries is 1.0142 {+-} 0.0038, 1.0125 {+-} 0.0038, and 0.9991 {+-} 0.0019, respectively. In general, an improvement exists in the agreement between the calculated k{sub eff}`s and the experimental results (i.e., k{sub eff} = 1.0) obtained with the newer ENDF/B-V libraries relative to ENDF/B-IV. This study is pertinent to {sup 233}U storage outside of the reactor.

Dunn, M.E.; Basoglu, B.; Bentley, C.L.; Plaster, M.J.; Wilkinson, A.D.; Dodds, H.L. [Univ. of Tennessee, Knoxville, TN (United States). Nuclear Engineering Dept.; Haught, C. [Martin Marietta Energy Systems, Piketon, OH (United States); Yamamoto, T. [Japan Atomic Energy Research Inst., Tokai (Japan)

1995-08-01T23:59:59.000Z

149

A LOW COST MULTI-BAND/MULTI-MODE RADIO FOR PUBLIC SAFETY S.M. Hasan (Virginia Tech, Blacksburg, VA, U.S.A., hasan@vt.edu); P. Balister  

E-Print Network [OSTI]

A LOW COST MULTI-BAND/MULTI-MODE RADIO FOR PUBLIC SAFETY S.M. Hasan (Virginia Tech, Blacksburg, VA, U.S.A., hasan@vt.edu); P. Balister (Virginia Tech, Blacksburg, VA, U.S.A., balister@vt.edu); K. Lee

Ellingson, Steven W.

150

U.S. Department of Energy Hydrogen and Fuel Cells Program 2012 Annual Merit Review and Peer Evaluation Report: May 14-18, 2012, Arlington, VA  

SciTech Connect (OSTI)

This document summarizes the comments provided by peer reviewers on hydrogen and fuel cell projects presented at the fiscal year (FY) 2012 U.S. Department of Energy (DOE) Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting (AMR), held May 14-18, 2012, in Arlington, VA.

Not Available

2012-09-01T23:59:59.000Z

151

Camenen, B., and Larson, M. 2007. A Total Load Formula for the Nearshore. Proceedings Coastal Sediments '07 Conference, ASCE Press, Reston, VA, 56-67.  

E-Print Network [OSTI]

Sediments '07 Conference, ASCE Press, Reston, VA, 56-67. A TOTAL LOAD FORMULA FOR THE NEARSHORE Benoit.larson@tvr.lth.se Abstract: A total load sediment transport formula based on recent studies on the bed load and suspended qualify and quantify the current-related and wave-related sediment transport. It appeared

US Army Corps of Engineers

152

Virginia Seafood Agricultural Research and Extension Center102SKingSt.,Hampton,VA23669757-727-4861www.arec.vaes.vt.edu/virginia-seafood Physical Resources  

E-Print Network [OSTI]

Virginia Seafood Agricultural Research and Extension Center102SKingSt.,Hampton,VA23669·757-727-4861·www.arec.vaes.vt.edu/virginia-seafood Physical Resources Land and Facilities Description Land Specialist, Muscle food safety and quality Safety and quality of seafood, beef, poultry, and pork products

Virginia Tech

153

Virginia Seafood Agricultural Research and Extension Center102SKingSt.,Hampton,VA23669757/727-4861www.arec.vaes.vt.edu/virginia-seafood Physical Resources  

E-Print Network [OSTI]

Virginia Seafood Agricultural Research and Extension Center102SKingSt.,Hampton,VA23669·757/727-4861·www.arec.vaes.vt.edu/virginia-seafood Physical Resources Land and Facilities Description Land and quality Safety and quality of seafood, beef, poultry, and pork products. HACCP and bilingual training

Liskiewicz, Maciej

154

ILASS Americas 17th Annual Conference on Liquid Atomization and Spray Systems, Arlington, VA, May 2004 Optimal Disturbance Structure and Development on a Sheared Interface  

E-Print Network [OSTI]

ILASS Americas 17th Annual Conference on Liquid Atomization and Spray Systems, Arlington, VA, May, viscosity and mean velocity all change. In the immediate vicinity of the interface, boundary layer flow thickness), density ratio r = 0.02 and viscosity ratio m = 0.025. The OD of this two-phase flow show some

Yecko, Philip

155

"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

156

"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

157

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

158

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

159

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

160

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

Note: This page contains sample records for the topic "va wv average" 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

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

162

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

163

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

164

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...

165

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

166

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.

167

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.

168

wvBLACK DIAMONDS table of contents  

E-Print Network [OSTI]

'RE ON THE WEB! www.mine.cemr.wvu.edu Statler College of Engineering and Mineral Resources DEPARTMENT OF MINING

Mohaghegh, Shahab

169

wvBLACK DIAMONDS table of contents  

E-Print Network [OSTI]

with mining! WE'RE ON THE WEB! www.mine.cemr.wvu.edu College of Engineering and Mineral Resources DEPARTMENT

Mohaghegh, Shahab

170

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

171

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

172

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

173

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

174

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

175

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

176

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

177

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**

178

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

179

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

180

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

Note: This page contains sample records for the topic "va wv average" 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

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.

182

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

183

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

184

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

185

ZERH Training: Harrisonburg, VA  

Broader source: Energy.gov [DOE]

This 3.5-hour training provides builders with a comprehensive review of zero energy-ready home construction including the business case, detailed specifications, and opportunities to be recognized...

186

Advanced Battery Manufacturing (VA)  

SciTech Connect (OSTI)

LiFeBATT has concentrated its recent testing and evaluation on the safety of its batteries. There appears to be a good margin of safety with respect to overheating of the cells and the cases being utilized for the batteries are specifically designed to dissipate any heat built up during charging. This aspect of LiFeBATTs products will be even more fully investigated, and assuming ongoing positive results, it will become a major component of marketing efforts for the batteries. LiFeBATT has continued to receive prismatic 20 Amp hour cells from Taiwan. Further testing continues to indicate significant advantages over the previously available 15 Ah cells. Battery packs are being assembled with battery management systems in the Danville facility. Comprehensive tests are underway at Sandia National Laboratory to provide further documentation of the advantages of these 20 Ah cells. The company is pursuing its work with Hybrid Vehicles of Danville to critically evaluate the 20 Ah cells in a hybrid, armored vehicle being developed for military and security applications. Results have been even more encouraging than they were initially. LiFeBATT is expanding its work with several OEM customers to build a worldwide distribution network. These customers include a major automotive consulting group in the U.K., an Australian maker of luxury off-road campers, and a number of makers of E-bikes and scooters. LiFeBATT continues to explore the possibility of working with nations that are woefully short of infrastructure. Negotiations are underway with Siemens to jointly develop a system for using photovoltaic generation and battery storage to supply electricity to communities that are not currently served adequately. The IDA has continued to monitor the progress of LiFeBATTs work to ensure that all funds are being expended wisely and that matching funds will be generated as promised. The company has also remained current on all obligations for repayment of an IDA loan and lease payments for space to the IDA. A commercial venture is being formed to utilize the LiFeBATT product for consumer use in enabling photovoltaic powered boat lifts. Field tests of the system have proven to be very effective and commercially promising. This venture is expected to result in significant sales within the next six months.

Stratton, Jeremy

2012-09-30T23:59:59.000Z

187

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.

188

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

189

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....

190

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....

191

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 ......

192

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...

193

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

194

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

195

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

196

LBNL-4183E-rev1 N NA AT TU UR RA AL L G GA AS S V VA AR RI  

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

4183E-rev1 4183E-rev1 N NA AT TU UR RA AL L G GA AS S V VA AR RI IA AB BI IL LI IT TY Y I IN N C CA AL LI IF FO OR RN NI IA A: : E EN NV VI IR RO ON NM ME EN NT TA AL L I IM MP PA AC CT TS S A AN ND D D DE EV VI IC CE E P PE ER RF FO OR RM MA AN NC CE E E EX XP PE ER RI IM ME EN NT TA AL L E EV VA AL LU UA AT TI IO ON N O OF F I IN NS ST TA AL LL LE ED D C CO OO OK KI IN NG G E EX XH HA AU US ST T F FA AN N P PE ER RF FO OR RM MA AN NC CE E Brett C. Singer, William W. Delp and Michael G. Apte Indoor Environment Department Atmospheric Sciences Department Environmental Energy Technologies Division July 2011 (Revised February 2012) Disclaimer 1 This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of

197

,"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

198

,"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

199

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

200

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

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201

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...

202

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...

203

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

204

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.

205

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.

206

NETL Researcher Honored with 2013 Federal Laboratory Award Morgantown, W.Va. - Dr. Stephen E. Zitney of the National Energy Technology  

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

Researcher Honored with 2013 Federal Laboratory Award Researcher Honored with 2013 Federal Laboratory Award Morgantown, W.Va. - Dr. Stephen E. Zitney of the National Energy Technology Laboratory (NETL) has been awarded a Mid-Atlantic region Federal Laboratory Consortium (FLC) award for Excellence in Technology Transfer for his work on the 3D Virtual Energy Plant Simulator and Immersive Training System. The 3D Virtual Energy Plant Simulator and Immersive Training System (ITS) deployed at NETL's Advanced Virtual Energy Simulation Training and Research (AVESTAR ® ) Center delivers the first virtual energy plant for training, research, and development. NETL and its training partners are using the system to deliver realistic, cost-effective, and low-risk workforce training to the energy industries. Virtual reality-based training

207

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...

208

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

209

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

210

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...

211

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...

212

,"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"

213

,"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

214

,"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

215

,"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

216

,"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

217

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:

218

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

219

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

220

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

Note: This page contains sample records for the topic "va wv average" 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

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...

222

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

223

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...

224

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...

225

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,...

226

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,...

227

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

228

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....

229

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...

230

"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"

231

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

232

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.

233

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

234

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

235

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

236

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

237

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.

238

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 ...

239

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

240

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

Note: This page contains sample records for the topic "va wv average" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

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

242

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

243

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

244

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

245

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

246

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

247

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

248

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

249

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

250

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

251

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

252

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

253

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

254

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

255

Characterization of the environmental fate of Bacillus thuringiensis var. kaurstaki (Btk) after pest eradication efforts in Seattle, WA and Fairfax county, VA  

SciTech Connect (OSTI)

Understanding the fate of biological agents in the environment will be critical to recovery and restoration efforts after a biological attack. Los Alamos National Laboratory (LANL) is conducting experiments in the Seattle, WA and Fairfax County, VA areas to study agent fate in urban environments. As part of their gypsy moth suppression efforts, Washington State and Fairfax County have sprayed Bacillus thuringiensis var. kurstaki (Btk), a common organic pesticide for decades. Many of the spray zones have been in or near urban areas. LANL has collected surface and bulk samples from historical Seattle spray zones to characterize how long Btk persists at detectable levels in the environment, and how long it remains viable in different environmental matrices. This work will attempt to address three questions. First, how long does the agent remain viable at detectable levels? Second, what is the approximate magnitude and duration of resuspension? And third, does the agent transport into buildings? Data designed to address the first question will be presented. Preliminary results indicate Btk remains viable in the environment for at least two years.

Ticknor, Lawrence [Los Alamos National Laboratory; Van Cuyk, Sheila M [Los Alamos National Laboratory; Deshpande, Alina [Los Alamos National Laboratory; Omberg, Kristin M [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

256

Development of 100kVA AC superconducting coil using NbTi cables with a CuSi alloy matrix  

SciTech Connect (OSTI)

For implementation of AC superconducting equipment, it is imperative to develop low loss cables having highly stable characteristics. Here, newly developed NbTi superconducting cables using a CuSi alloy matrix are of low loss and are very promising as cables for practical application. However, since the CuSi alloy is a new material as a matrix for NbTi superconducting cables, many unknown factors as regards to optimum conditions for the manufacture of long cables, as well as superconducting characteristics are involved. For this new superconducting cable, a long strand (km class) was manufactured as a step for practical application, and a primary twisted cable was fabricated. Using this cable, a coil of the 100kVA class was fabricated for trial, and its performance characteristic with transport current was evaluated. This coil had no training phenomenon and had high stabilities. Furthermore, it permitted full AC current transmission of up to DCIc. Upon analysis of the coil loss, the hysteresis loss was smaller than coupling loss, and there was little increase of loss due to the current flow to the coil. consequently, by using CuSi alloy matrix superconducting cables, it was possible to provide an AC coil of low loss and high stability, and the present cable was found to be promising as a new AC superconducting cable in the future.

Kasahara, H.; Akita, S.; Torii, S. [CRIEPI, Tokyo (Japan)] [CRIEPI, Tokyo (Japan); Sugimoto, M.; Matsumoto, K.; Tanaka, Y. [Furukawa Electric Co., Ltd., Nikko (Japan)] [Furukawa Electric Co., Ltd., Nikko (Japan); Tachikawa, K. [Tokai Univ., Hiratsuka (Japan)] [Tokai Univ., Hiratsuka (Japan)

1996-07-01T23:59:59.000Z

257

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

258

"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"

259

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

260

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"

Note: This page contains sample records for the topic "va wv average" 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

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

262

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

263

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

264

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...

265

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...

266

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...

267

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...

268

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...

269

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

270

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

271

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

272

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

273

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

274

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...

275

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...

276

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...

277

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...

278

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

279

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

280

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

Note: This page contains sample records for the topic "va wv average" 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

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

282

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

283

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

284

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"

285

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",," ",," "

286

"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"

287

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",," ",," "

288

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",," ",," "

289

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

290

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"

291

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"

292

"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"

293

"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"

294

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.

295

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

296

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

297

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

298

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

299

Aftermath of the Mark VA  

Science Journals Connector (OSTI)

... the sum of almost 600,000, although on this the consultants eventually offered a rebate of 30,000. Even so, the amount they received was rather more than ...

1976-08-12T23:59:59.000Z

300

VA's Performance Contracting Program Overview  

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

Kristan Higgins Kristan Higgins Phyllis Stange October 17, 2012 1 Keeping our promises to veterans through sustainability OVERVIEW  Veteran - Centric  Good stewards of the taxpayers dollars.  Process is about 14 months from Agency Developed Package Award  New stream-lined process on next slide  Removed 2-3 months 2 Keeping our promises to veterans through sustainability Requirement s Package Received by NEBC; NEBC and OAEM Validate Package Phase 1 - Project Planning Assemble Acquisition Team; Engage Project Facilitator; Build RFP/NOO 6 weeks Send RFP for Technical & Legal Review Interested ESCOs respond to NOO (Can't close until legal review is complete) Technical & Legal Reviews Completed Send Invitation for Preliminary Site Survey

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301

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

302

NGA98fin5.vp  

Gasoline and Diesel Fuel Update (EIA)

8 8 NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 18. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 1998 (Dollars per Thousand Cubic Feet) Figure 19. Average Price of Natural Gas Delivered to U.S. Electric Utilities, 1998 (Dollars per Thousand Cubic Feet) Figure Sources: Federal Energy Regulatory Commission (FERC), Form FERC-423, "Monthly Report of Cost and Quality of Fuels for Electric Plants," and Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental

303

C:\ANNUAL\VENTCHAP.V8\NGAla1109.vp  

Gasoline and Diesel Fuel Update (EIA)

2000 2000 NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC 0.00-1.99 2.00-3.99 4.00-5.99 6.00-7.99 8.00-9.99 10.00-11.99 12.00+ NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC 0.00-1.99 2.00-3.99 4.00-5.99 6.00-7.99 8.00-99.99 10.00-11.99 12.00+ 19. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 2000 (Dollars per Thousand Cubic Feet) Figure 20. Average Price of Natural Gas Delivered to U.S. Electric Utilities, 2000 (Dollars per Thousand Cubic Feet) Figure Sources: Federal Energy Regulatory Commission (FERC), Form FERC-423, "Monthly Report of Cost and Quality of Fuels for Electric Plants," and Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural

304

Microsoft Word - Figure_18_19.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 0.00-2.49 2.50-4.49 4.50-6.49 6.50-8.49 8.50-10.49 10.50+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK MD 0.00-2.49 2.50-4.49 4.50-6.49 6.50-8.49 8.50-10.49 10.50+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK Figure 18. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 2004 (Dollars per Thousand Cubic Feet) Figure 19. Average Price of Natural Gas Delivered to U.S. Electric Power Consumers, 2004 (Dollars per Thousand Cubic Feet) Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Note: States where the electric power price has been withheld (see Table 23) are included in the $0.00-$2.49 price category.

305

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

49 49 0.00-1.99 2.00-3.99 4.00-5.99 6.00-7.99 8.00-9.99 10.00-11.99 12.00+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK MD 0.00-1.99 2.00-3.99 4.00-5.99 6.00-7.99 8.00-9.99 10.00-11.99 12.00+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK Figure 18. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 2003 (Dollars per Thousand Cubic Feet) Figure 19. Average Price of Natural Gas Delivered to U.S. Electric Power Consumers, 2003 (Dollars per Thousand Cubic Feet) Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Note: States where the electric power price has been withheld (see Table 23) are included in the $0.00-$1.99 price category.

306

NGA_99fin.vp  

Gasoline and Diesel Fuel Update (EIA)

9 9 NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 18. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 1999 (Dollars per Thousand Cubic Feet) Figure 19. Average Price of Natural Gas Delivered to U.S. Electric Utilities, 1999 (Dollars per Thousand Cubic Feet) Figure Sources: Federal Energy Regulatory Commission (FERC), Form FERC-423, "Monthly Report of Cost and Quality of Fuels for Electric Plants," and Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental

307

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

308

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

309

,"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"

310

,"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"

311

,"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"

312

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

313

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.

314

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

315

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

316

"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

317

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

318

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

319

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

320

Albany, OR * Fairbanks, AK * Morgantown, WV * Pittsburgh, PA * Houston, TX  

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NETL R&D Tackles Technological NETL R&D Tackles Technological Challenges of the Williston Basin's Bakken Formation Recent development of the Bakken Formation in the Williston Basin of western North Dakota and eastern Montana is a good example of persistent analysis of geologic data and adaptation of new completion technologies overcoming the challenges posed by unconventional reservoirs. However, as with most unconventional plays, as Bakken development continues, questions regarding

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321

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2 s o l u b i li t y at r o o m temperature. CO 2 solubility testing of the most prom- ising eutectic combinations was completed. The results indicate that increasing the...

322

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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412-386-7343 Hunaid.Nulwala@contr.netl.doe.gov David Luebke Technical Co-ordinator for Carbon Capture National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940...

323

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Carbon Storage Research Carbon capture and storage (CCS) is a key component of the U.S. carbon management portfolio. Numerous studies have shown that CCS can account for up to 55...

324

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Membranes for Carbon Capture Background Carbon capture and storage from fossil-based power generation is a critical component of realistic strategies for arresting the rise in...

325

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Solvents for Carbon Capture Background Carbon capture and storage from fossil-based power generation is a critical com- ponent of realistic strategies for arresting the rise in...

326

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Sorbents for Carbon Capture Background Carbon capture and storage from fossil-based power generation is a critical component of realistic strategies for arresting the rise in...

327

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Los Alamos National Laboratory Pacific Northwest National Laboratory Princeton University Carbon Capture Simulation Initiative The Carbon Capture Simulation Initiative (CCSI) is a...

328

P O Box 6004 Morgantown, WV 26506-6004  

E-Print Network [OSTI]

Miller, Veterans Advocate at (304)293-8262 or email tdmiller@mail.wvu.edu Those needing to renew benefits

Mohaghegh, Shahab

329

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Midwest Regional Carbon Sequestration Partnership - Development Phase Large-Scale Field Project Background The U.S. Department of Energy Regional Carbon Sequestration Partnership...

330

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Non-Thermal Plasma for Fossil Energy Related Applications Background The U.S. Department of Energy is investigating various non-thermal plasma tech- nologies for their catalytic...

331

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U.S. industry in a complementary research program designed to develop and demonstrate oil and natural gas drilling and production methodologies in ultra-deep formations. This...

332

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Technology Transfer at NETL Carbon capture, quantum mechanical simulations, integrated gasification, and clean power-words like these mean the future of energy to NETL's in-house...

333

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estimates could result in a 4 - 6% gain in overall system efficiency. Rotating Detonation Combustion (RDC) capitalizes on this cycle and offers potential as a drop in...

334

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and Engineering 304-285-4685 madhava.syamlal@netl.doe.gov David Miller Technical Director Carbon Capture Simulation Initiative 412-386-6555 david.miller@netl.doe.gov RESEARCH...

335

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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needs of advanced power systems. Industries that utilize natural gas, gasifier syngas, biogas, landfill gas, or any type of fuel gas can benefit from knowing the composition of the...

336

West Virginia Smart Grid Implementation Plan (WV SGIP) Project  

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

views on the following: 1) whether the electric power utilities have shown interests in upgrading their distribution service equipment, etc., 2) whether the state regulatory...

337

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of feedstock, gasifier geometry and flow conditions. Using palladium sorbents for high temperature capture of mercury and other trace elements in flue gases is also under...

338

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Solvents for Carbon Capture Background Carbon capture and storage from fossil-based power generation is a critical component of realistic strategies for arresting the rise in...

339

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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541-967-5885 david.alman@netl.doe.gov David Hopkinson Technical Portfolio Lead Carbon Capture 304-285-4360 david.hopkinson@netl.doe.gov OTHER PARTNERS Energy Frontiers Research...

340

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Membranes for Carbon Capture Background Carbon capture and storage from fossil-based power generation is a critical com- ponent of realistic strategies for arresting the rise in...

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341

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541-967-5885 david.alman@netl.doe.gov David Hopkinson Technical Portfolio Lead Carbon Capture 304-285-4360 david.hopkinson@netl.doe.gov Figure 1: Film made from a...

342

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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science to ensure safe, essentially permanent carbon sequestration; develop reliable measurement, monitoring and verification technologies acceptable to permitting agencies;...

343

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can simulate reservoirs that are multi-layered, exhibit dip, and have variable thickness, rock porosity, and rock permeability. The reservoirs can have fractures that open and...

344

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Assessment Partnership Initiative The National Risk Assessment Partnership (NRAP) is a DOE initiative that harnesses core capabilities developed across the National Laboratory...

345

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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to offshore hydrocarbon production and the recovery of unconventional resources like shale gas, estimating CO 2 storage potential in various types of geologic formations, and...

346

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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these emissions can negatively impact air quality. The environmental risks of shale gas and shale oil development may be very different from that of conventional oil and gas...

347

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of carbon dioxide in tight formations. Benefits Production of natural gas from hydraulically-fractured shales surrounding horizontal wells is a relatively recent and...

348

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waters with geologic media such as confining layers and fossil fuels (e.g., coal, oil shale, natural gas bearing formations); and unconventional fossil fuel extraction...

349

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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AND DEVELOPMENT Cynthia Powell Director 514-967-5803 cynthia.powell@netl.doe.gov Kelly Rose Technical Portfolio Lead Offshore Resources 541-967-5883 kelly.rose@netl.doe.gov...

350

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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AND DEVELOPMENT Cynthia Powell Director 541-967-5803 cynthia.powell@netl.doe.gov Kelly Rose Technical Portfolio Lead Offshore Resources 541-967-5883 kelly.rose@netl.doe.gov...

351

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Technical Portfolio Lead Carbon Storage 412-386-4962 angela.goodman@netl.doe.gov Kelly Rose Technical Portfolio Lead Offshore Resources 541-967-5883 kelly.rose@netl.doe.gov...

352

Albany, OR * Archorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Portfolio Lead National Risk Assessment Program 304-285-4688 grant.bromhal@netl.doe.gov Kelly Rose Technical Portfolio Lead Offshore Resources 541-967-5883 kelly.rose@netl.doe.gov...

353

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Geological and Environmental Sciences Division 412-386-6571 george.guthrie@netl.doe.gov Kelly Rose Acting Geology Team Lead Office of Research and Development National Energy...

354

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Road P.O. Box 10940 Pittsburgh, PA 15236-0940 412-386-6571 george.guthrie@netl.doe.gov Kelly Rose Acting Geology Team Lead Office of Research and Development National Energy...

355

Albany, OR * Archorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Cochrans Mill Road Pittsburgh, PA 15236-0940 412-386-6571 george.guthrie@netl.doe.gov Kelly Rose EDX Coordinator Office of Research and Development National Energy Technology...

356

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Road P.O. Box 10940 Pittsburgh, PA 15236-0940 412-386-6571 george.guthrie@netl.doe.gov Kelly Rose Technical Coordinator National Energy Technology Laboratory 1450 Queen Ave SW...

357

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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REARCH AND DEVELOPMENT Cynthia Powell Director 541-967-5803 cynthia.powell@netl.doe.gov Kelly Rose Technical Portfolio Lead Offshore Resources 541-967-5883 kelly.rose@netl.doe.gov...

358

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Portfolio Lead National Risk Assessment Program 304-285-4688 grant.bromhal@netl.doe.gov Kelly Rose Technical Portfolio Lead Offshore Resources 541-967-5883 kelly.rose@netl.doe.gov...

359

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Enhanced Analytical Simulation Tool for CO2 Storage Capacity Estimation and Uncertainty Quantification Background The overall goal of the Department of Energy's (DOE) Carbon...

360

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Carbon Storage Program encompasses five Technology Areas: (1) Geologic Storage and Simulation and Risk Assessment (GSRA), (2) Monitoring, Verification, Accounting (MVA) and...

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361

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potential risks associated with oil and gas resources in shale reservoirs that require hydraulic fracturing or other engineering measures to produce. The major areas of focus...

362

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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related impacts to human health and the natural environment, and induced seismicity from hydraulic fracturing. Project Description Through collaboration with its research...

363

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related impacts to human health and the natural environment, and induced seismicity from hydraulic fracturing. Project Description Through collaboration with its Regional...

364

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Geomechanical Impacts of Shale Gas Activities Background Hydraulic fracturing of gas shale is the injection of large volumes of fluid at high pressures in low permeability shale to...

365

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Deleterious Events Associated with Drilling and Production Background Increasingly, offshore domestic oil and natural gas activities are associated with remote and challenging...

366

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routes responsible for the observed catalytic effects. Such efforts will allow for the optimization of plasma systems so that they may be incorporated into a broad range of...

367

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number of individual break-through tasks in diverse number of areas. These range from identification of new materials for gas capture, storage or separation to optimization of...

368

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and material interactions that impact environmental and resource issues related to oil, gas, and CO2 storage development. However, studying the wide variety of subsurface...

369

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Association of American Railroads Augusta Systems, Incorporated Southeast Regional Carbon Sequestration Partnership-Development Phase Cranfield Site and Citronelle Site...

370

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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EOR Field Project - Development Phase Background The U.S. Department of Energy Regional Carbon Sequestration Partnership (RCSP) Initiative consists of seven partnerships. The...

371

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Carbon Services Vecta Oil & Gas, Ltd. Washington State University Big Sky Regional Carbon Sequestration Partnership-Kevin Dome Development Phase Project Background The U.S....

372

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Southwestern United States Carbon Sequestration Training Center Background The focus of the Department of Energy's (DOE) Carbon Storage Program is to develop and advance...

373

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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to 200 o C for combustion is inefficient from both a cost and net electricity perspective. Hydrophobic solvents could be operated at higher temperatures and minimize...

374

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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heat in a combustion process while producing a concentrated CO 2 stream to facilitate carbon capture. Chemical looping research efforts can be categorized as: modeling tool...

375

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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that are difficult or impossible to measure, such as coal jet penetration into a gasifier. This system provides the capabilities for running modeling tools at various scales...

376

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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and implementing a Sponsorship Development Program that allows SECARB-Ed to be self-sustaining after the initial three-year period by establishing an advisory board, developing...

377

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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priations) to the FutureGen Industrial Alliance (Alliance) to build FutureGen 2.0-a clean coal repowering program and CO 2 pipeline and storage network. The FutureGen 2.0 Program...

378

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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from Fossil Energy R&D 1 Bezdek, R. Wendling, R., The Return on Investment of the Clean Coal Technology Program in the USA. Energy Policy, Vol. 54, March 2013, pp. 104-112 2...

379

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Fuel Cells The Solid State Energy Conversion Alliance (SECA) program is responsible for coordinating Federal efforts to facilitate development of a commercially relevant and robust...

380

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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R&D 070, November 2011, rev 1114 Research facilities include the Severe Environment Corrosion Erosion Research Facility (SECERF) for assessing materials performance in a variety...

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381

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can affect permeability and porosity (flow properties), depending on the amount of sorptiondesorption. If the geological formations of interest are deep and have high...

382

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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well and post- placement. Foamed cement stability depends on time evolution of the gas bubble-size distribution (BSD) and varies as it is pumped and placed in the well. Unstable...

383

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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or particles. * High-definition, high-speed video capabilities: - Detailed information on bubble hydrodynamics. - Unprecedented resolution of hydrate surface morphology. * Provide...

384

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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changes in CO 2 -water inter- facial tension. * Experimental CO 2 injection tests in pore micro-models and parallel network model simulations demonstrate that the sweep efficiency...

385

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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pollutants and CO 2 . Oxy-fuel combustion of hydrocarbon fuel (coal, natural-gas, biomass) generates denitrified combustion gas comprising dominantly CO 2 and H 2 O. The...

386

P O Box 6004 Morgantown, WV 26506-6004  

E-Print Network [OSTI]

-5242 Fax: (304) 293-4890 Email: finaid@mail.wvu.edu We're on the Web! www.finaid.wvu.edu 2010-2011 STUDENT

Mohaghegh, Shahab

387

P O Box 6004 Morgantown, WV 26506-6004  

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% of students complete online at www.fafsa.gov Please consider using FAFSA on the Web. There is a FAFSA worksheet that can be downloaded from the FAFSA web site. The Financial Aid Office will also have a supply

Mohaghegh, Shahab

388

P O Box 6004 Morgantown, WV 26506-6004  

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're on the Web! www.finaid.wvu.edu 2009-2010 STUDENT AID REPORT Once you submit your FAFSA to the federal

Mohaghegh, Shahab

389

P O Box 6004 Morgantown, WV 26506-6004  

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-5242 Fax: (304) 293-4890 Email: finaid@mail.wvu.edu We're on the Web! www.finaid.wvu.edu 2011-2012 STUDENT

Mohaghegh, Shahab

390

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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for the same amount of energy produced, thereby facilitating a reduction in greenhouse gas emissions. When combined, oxy-combustion comes with an efficiency loss, so it will...

391

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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near 276 MPa. Therefore, the per turbed-chain statistical associating fluid theory (PC-SAFT) model was used to calculate the fluid density, which is an input into the improved...

392

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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of meeting such a challenge is the combination of a high temperature fuel cell and a gas turbine with a gasifier or reformer. This hybrid technology has been studied...

393

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Turbine Thermal Management The gas turbine is the workhorse of power generation, and technology advances to current land-based turbines are directly linked to our country's...

394

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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are used to characterize the fundamental properties of unconventional natural gas and oil reservoirs, ultra-deepwater and frontier-region reservoirs, and reservoirs that offer...

395

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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being developed for geologic carbon storage are focused on five storage types: (1) oil and natural gas reservoirs; (2) saline formations; (3) unmineable coal seams; (4)...

396

Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA...  

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Hybrid Performance Project Research programs initiated by the U.S. Department of Energy (DOE) to achieve increased efficiency and reduced emissions are expected to result in the...

397

Albany, OR * Archorage, AK * Morgantown, WV * Pittsburgh, PA...  

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

S Materials Science Fuels Gasification will likely be the cornerstone of future energy and chemical processes due to its flexibility to accommodate numerous feedstocks such as...

398

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

399

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

400

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.

Note: This page contains sample records for the topic "va wv average" 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

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.

402

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

403

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

404

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

405

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

406

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

407

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

408

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

409

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

410

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

411

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

412

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

413

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

414

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

415

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

416

"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

417

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

418

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)

419

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-

420

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

Note: This page contains sample records for the topic "va wv average" 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

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

422

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

423

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

424

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

425

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

426

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

427

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

428

NGA_99fin.vp  

Gasoline and Diesel Fuel Update (EIA)

9 9 NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC Note: Commercial prices include natural gas delivered for use as vehicle fuel. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 16. Average Price of Natural Gas Delivered to U.S. Residential Consumers, 1999 (Dollars per Thousand Cubic Feet) Figure

429

C:\ANNUAL\VENTCHAP.V8\NGA.VP  

Gasoline and Diesel Fuel Update (EIA)

8 8 NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC Note: Commercial prices include natural gas delivered for use as vehicle fuel. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 16. Average Price of Natural Gas Delivered to U.S. Residential Consumers, 1997 (Dollars per Thousand Cubic Feet) Figure

430

NGA98fin5.vp  

Gasoline and Diesel Fuel Update (EIA)

1998 1998 NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC Note: Commercial prices include natural gas delivered for use as vehicle fuel. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 16. Average Price of Natural Gas Delivered to U.S. Residential Consumers, 1998 (Dollars per Thousand Cubic Feet) Figure

431

C:\ANNUAL\VENTCHAP.V8\NGAla1109.vp  

Gasoline and Diesel Fuel Update (EIA)

Energy Energy Information Administration / Natural Gas Annual 2000 NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC Note: Commercial prices include natural gas delivered for use as vehicle fuel. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." 0.00-1.99 2.00-3.99 4.00-5.99 6.00-7.99 8.00-9.99 10.00-11.99 12.00+ 0.00-1.99 2.00-3.99 4.00-5.99 6.00-7.99 8.00-9.99 10.00-11.99 12.00+ 17. Average Price of Natural Gas Delivered to U.S. Residential

432

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

433

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

434

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

435

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

436

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

437

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

438

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

439

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

440

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

Note: This page contains sample records for the topic "va wv average" 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

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

442

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

443

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

444

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

445

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

446

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

447

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.

448

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

449

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

450

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

451

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

452

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

453

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

454

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

455

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.

456

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

457

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

458

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

459

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

460

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

Note: This page contains sample records for the topic "va wv average" 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

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

462

Analysis of improvements in system efficiency and safety at highway-railroad-pedestrian grade crossings  

E-Print Network [OSTI]

at the George Bush intersection. Average Speed (kmth): 683 Trains 160 140 120 u 100 8 80 60 40 20 0 v ~0 b ~0 nv + ~v vQ av vn va tp av ge 4 aa ae se v v v v v ' ' h wv sa se 0' vv 6' v eo ae wo ws vo ev Average Speed (km/h) Figure 3. Actual...asaaaaaaaa/ /******* AMBER TIMERS ********/ /g a g Q gQ Qaaaaaaaaaaaaa a4 aaaa a a a as/ IF (Pedi 2Clear Timer &= PedClr[1]) THEN stop(Ped12ClearTimer); reset(Ped12ClearTimer); END; IF (Pedi OClear Timer &= PedClr[1]) THEN stop...

Tydlacka, Jonathan Michael

2013-02-22T23:59:59.000Z

463

Climate: monthly and annual average cooling degree days above 10° C GIS  

Open Energy Info (EERE)

cooling degree days above 10° C GIS cooling degree days above 10° C GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Cooling Degree Days above 10° C (degree days)The monthly accumulation of degrees when the daily mean temperature is above 10° 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: Cooling Degree Days Above 10 degrees C (degree days)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,

464

Climate: monthly and annual average air temperature at 10 m GIS data at  

Open Energy Info (EERE)

air temperature at 10 m GIS data at air temperature at 10 m GIS data at one-degree resolution of the World from NASA/SSE 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; 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

465

Climate: monthly and annual average heating degree days below 18° C GIS  

Open Energy Info (EERE)

heating degree days below 18° C GIS heating degree days below 18° C GIS data at one-degree resolution of the World from NASA/SSE 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/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,

466

Climate: monthly and annual average Earth skin temperature GIS data at  

Open Energy Info (EERE)

Earth skin temperature GIS data at Earth skin temperature GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Earth Skin Temperature (° 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: Earth Skin Temperature (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; 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

467

Solar: monthly and annual average direct normal 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): Direct Normal Irradiance (kWh/m^2/day)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Direct Normal 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

468

Comparison of Two Gas Selection Methodologies: An Application of Bayesian Model Averaging  

SciTech Connect (OSTI)

One goal of hyperspectral imagery analysis is the detection and characterization of plumes. Characterization includes identifying the gases in the plumes, which is a model selection problem. Two gas selection methods compared in this report are Bayesian model averaging (BMA) and minimum Akaike information criterion (AIC) stepwise regression (SR). Simulated spectral data from a three-layer radiance transfer model were used to compare the two methods. Test gases were chosen to span the types of spectra observed, which exhibit peaks ranging from broad to sharp. The size and complexity of the search libraries were varied. Background materials were chosen to either replicate a remote area of eastern Washington or feature many common background materials. For many cases, BMA and SR performed the detection task comparably in terms of the receiver operating characteristic curves. For some gases, BMA performed better than SR when the size and complexity of the search library increased. This is encouraging because we expect improved BMA performance upon incorporation of prior information on background materials and gases.

Renholds, Andrea S.; Thompson, Sandra E.; Anderson, Kevin K.; Chilton, Lawrence K.

2006-03-31T23:59:59.000Z

469

Proving the achronal averaged null energy condition from the generalized second law  

SciTech Connect (OSTI)

A null line is a complete achronal null geodesic. It is proven that for any quantum fields minimally coupled to semiclassical Einstein gravity, the averaged null energy condition (ANEC) on null lines is a consequence of the generalized second law of thermodynamics for causal horizons. This result is shown to leading order in Planck's constant for perturbations to classical backgrounds satisfying the null energy condition. Auxiliary assumptions include CPT and the existence of a suitable renormalization scheme for the generalized entropy. Although the ANEC can be violated on general geodesics in curved spacetimes, as long as the ANEC holds on null lines there exist theorems showing that semiclassical gravity should satisfy positivity of energy, topological censorship, and should not admit closed timelike curves. It is pointed out that these theorems fail once the linearized graviton field is quantized, because then the renormalized shear-squared term in the Raychaudhuri equation can be negative. A 'shear-inclusive' generalization of the ANEC is proposed to remedy this, and is proven under an additional assumption about perturbations to horizons in classical general relativity.

Wall, Aron C. [Maryland Center for Fundamental Physics, Department of Physics, University of Maryland, College Park, Maryland 20740-4111 (United States)

2010-01-15T23:59:59.000Z

470

Area-preserving maps models of gyro-averaged ${\\bf E} \\times {\\bf B}$ chaotic transport  

E-Print Network [OSTI]

Discrete maps have been extensively used to model 2-dimensional chaotic transport in plasmas and fluids. Here we focus on area-preserving maps describing finite Larmor radius (FLR) effects on ${\\bf E} \\times {\\bf B}$ chaotic transport in magnetized plasmas with zonal flows perturbed by electrostatic drift waves. FLR effects are included by gyro-averaging the Hamiltonians of the maps which, depending on the zonal flow profile, can have monotonic or non-monotonic frequencies. In the limit of zero Larmor radius, the monotonic frequency map reduces to the standard Chirikov-Taylor map, and, in the case of non-monotonic frequency, the map reduces to the standard nontwist map. We show that in both cases FLR leads to chaos suppression, changes in the stability of fixed points, and robustness of transport barriers. FLR effects are also responsible for changes in the phase space topology and zonal flow bifurcations. Dynamical systems methods based on recurrence time statistics are used to quantify the dependence on the Larmor radius of the threshold for the destruction of transport barriers.

J. D. da Fonseca; D. del-Castillo-Negrete; I. L. Caldas

2014-09-10T23:59:59.000Z

471

Area-preserving maps models of gyro-averaged ${\\bf E} \\times {\\bf B}$ chaotic transport  

E-Print Network [OSTI]

Discrete maps have been extensively used to model 2-dimensional chaotic transport in plasmas and fluids. Here we focus on area-preserving maps describing finite Larmor radius (FLR) effects on ${\\bf E} \\times {\\bf B}$ chaotic transport in magnetized plasmas with zonal flows perturbed by electrostatic drift waves. FLR effects are included by gyro-averaging the Hamiltonians of the maps which, depending on the zonal flow profile, can have monotonic or non-monotonic frequencies. In the limit of zero Larmor radius, the monotonic frequency map reduces to the standard Chirikov-Taylor map, and, in the case of non-monotonic frequency, the map reduces to the standard nontwist map. We show that in both cases FLR leads to chaos suppression, changes in the stability of fixed points, and robustness of transport barriers. FLR effects are also responsible for changes in the phase space topology and zonal flow bifurcations. Dynamical systems methods based on recurrence time statistics are used to quantify the dependence on the...

da Fonseca, J D; Caldas, I L

2014-01-01T23:59:59.000Z

472

U.S. average gasoline and diesel fuel prices expected to be slightly lower in 2013 than in 2012  

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

average gasoline and diesel fuel prices expected to be average gasoline and diesel fuel prices expected to be slightly lower in 2013 than in 2012 Despite the recent run-up in gasoline prices, the U.S. Energy Information Administration expects falling crude oil prices will lead to a small decline in average motor fuel costs this year compared with last year. The price for regular gasoline is expected to average $3.55 a gallon in 2013 and $3.39 next year, according to EIA's new Short-Term Energy Outlook. That's down from $3.63 a gallon in 2012. For the short-term, however, pump prices are expected to peak at $3.73 per gallon in May because of higher seasonal fuel demand and refiners switching their production to make cleaner burning gasoline for the summer. Diesel fuel will continue to cost more than gasoline because of strong global demand for diesel.

473

A high-order, adaptive, discontinuous Galerkin finite element method for the Reynolds-Averaged Navier-Stokes equations  

E-Print Network [OSTI]

This thesis presents high-order, discontinuous Galerkin (DG) discretizations of the Reynolds-Averaged Navier-Stokes (RANS) equations and an output-based error estimation and mesh adaptation algorithm for these discretizations. ...

Oliver, Todd A., 1980-

2008-01-01T23:59:59.000Z

474

Fact #638: August 30, 2010 Average Expenditure for a New Car Declines in Relation to Family Earnings  

Broader source: Energy.gov [DOE]

Although the average expenditure for a new car has increased from 1967 to 2009, family earnings have also been on the rise. For this period, new car expenditures went from $3,216 to $23,186, while...

475

The Mercury Project: A High Average Power, Gas-Cooled Laser with Frequency Conversion and Wavefront Correction  

Science Journals Connector (OSTI)

The Mercury laser operated continuously for several hours at 55J and 10Hz with fourteen 4x6cm2 Yb:S-FAP amplifier slabs pumped by eight 100kW diode arrays. Average power frequency...

Bayramian, Andy J

476

High-average-power cryogenically-cooled picosecond Yb:YAG amplifier seeded by a fiber CPA system  

E-Print Network [OSTI]

We report on a 300-W-level picosecond laser based on a cryogenically-cooled Yb:YAG amplifier seeded by a fiber CPA system. High-average-power picosecond second harmonic generation is also presented.

Gopinath, Juliet

477

High-Average-Power Cryogenically-Cooled Picosecond Yb:YAG Amplifier Seeded by a Fiber CPA System  

Science Journals Connector (OSTI)

We report on a 300-W-level picosecond laser based on a cryogenically-cooled Yb:YAG amplifier seeded by a fiber CPA system. High-average-power picosecond second harmonic generation is...

Hong, Kyung-Han; Gopinath, Juliet; Siddiqui, Aleem; Moses, Jeffrey; Lai, Chien-Jen; Hybl, John; Fan, Tso Yee

478

Fact #794: August 26, 2013 How Much Does an Average Vehicle Owner Pay in Fuel Taxes Each Year?  

Broader source: Energy.gov [DOE]

According to the Federal Highway Administration, the average fuel economy for all light vehicles on the road today is 21.4 miles per gallon (mpg). A person owning a gasoline vehicle with that fuel...

479

A structural analysis of vehicle design responses to Corporate Average Fuel Economy policy  

Science Journals Connector (OSTI)

The US Corporate Average Fuel Economy (CAFE) regulations are intended to influence automaker vehicle design and pricing choices. CAFE policy has been in effect for the past three decades, and new legislation has raised standards significantly. We present a structural analysis of automaker responses to generic CAFE policies. We depart from prior CAFE analyses by focusing on vehicle design responses in long-run oligopolistic equilibrium, and we view vehicles as differentiated products, taking demand as a general function of price and product attributes. We find that under general cost, demand, and performance functions, single-product profit maximizing firm responses to CAFE standards follow a distinct pattern: firms ignore CAFE when the standard is low, treat CAFE as a vehicle design constraint for moderate standards, and violate CAFE when the standard is high. Further, the point and extent of first violation depends upon the penalty for violation, and the corresponding vehicle design is independent of further standard increases. Thus, increasing CAFE standards will eventually have no further impact on vehicle design if the penalty for violation is also not increased. We implement a case study by incorporating vehicle physics simulation, vehicle manufacturing and technology cost models, and a mixed logit demand model to examine equilibrium powertrain design and price decisions for a fixed vehicle body. Results indicate that equilibrium vehicle design is not bound by current CAFE standards, and vehicle design decisions are directly determined by market competition and consumer preferences. We find that with increased fuel economy standards, a higher violation penalty than the current stagnant penalty is needed to cause firms to increase their design fuel economy at equilibrium. However, the maximum attainable improvement can be modest even if the penalty is doubled. We also find that firms design responses are more sensitive to variation in fuel prices than to CAFE standards, within the examined ranges.

Ching-Shin Norman Shiau; Jeremy J. Michalek; Chris T. Hendrickson

2009-01-01T23:59:59.000Z

480

Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations  

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

Computation of Domain-Averaged Irradiance Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations S. Kato Center for Atmospheric Sciences Hampton University Hampton, Virginia Introduction Recent development of remote sensing instruments by Atmospheric Radiation Measurement (ARM?) Program provides information of spatial and temporal variability of cloud structures. However it is not clear what cloud properties are required to express complicated cloud fields in a realistic way and how to use them in a relatively simple one-dimensional (1D) radiative transfer model to compute the domain averaged irradiance. To address this issue, a simple shortwave radiative transfer model that can treat the vertical cloud optical property correlation is developed. The model is based on the gamma-weighted

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481

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

482

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

483

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

clothes drying, ceiling fans, coffee makers, spas, home security clothes drying, ceiling fans, coffee makers, spas, home security systems, microwave ovens, set-top boxes, home audio equipment, rechargeable electronics, and VCR/DVDs. In addition to the major equipment-driven end-uses, the average energy consumption per household is projected for other electric and nonelectric appliances. The module's output includes number Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 19 Pacific East South Central South Atlantic Middle Atlantic New England West South Central West North Central East North Central Mountain AK WA MT WY ID NV UT CO AZ NM TX OK IA KS MO IL IN KY TN MS AL FL GA SC NC WV PA NJ MD DE NY CT VT ME RI MA NH VA WI MI OH NE SD MN ND AR LA OR CA HI Middle Atlantic New England East North Central West North Central Pacific West South Central East South Central

484

High Average Power, 100 Hz Repetition Rate, Table-top EUV/Soft X-ray Lasers  

SciTech Connect (OSTI)

Compact =13.9 nm and =18.9 nm lasers with >0.1 mW average power at 100 Hz repetition rate driven by a diode-pumped, 1 J, CPA laser were demonstrated. Wavelength scaling to =10.9 nm will be discussed.

Reagan, Brendon [Colorado State University, Fort Collins; Wernsing, Keith [Colorado State University, Fort Collins; Baumgarten, Cory [Colorado State University, Fort Collins; Durivage, Leon [Colorado State University, Fort Collins; Berrill, Mark A [ORNL; Furch, Federico [Colorado State University, Fort Collins; Curtis, Alden [Colorado State University, Fort Collins; Salsbury, Chase [Colorado State University, Fort Collins; Luther, Brad [Colorado State University, Fort Collins; Patel, Dinesh [Colorado State University, Fort Collins; Menoni, Carmen [Colorado State University, Fort Collins; Rocca, Jorge [Colorado State University, Fort Collins

2013-01-01T23:59:59.000Z

485

PHYSICAL REVIEW E 84, 036104 (2011) Average crack-front velocity during subcritical fracture propagation in a heterogeneous medium  

E-Print Network [OSTI]

PHYSICAL REVIEW E 84, 036104 (2011) Average crack-front velocity during subcritical fracture]. In consequence the slow kinetic crack propagation is usually referred to as subcritical crack growth or the subcritical regime. Statistical physics models suggest that this subcritical regime is governed by a thermally

Schmittbuhl, Jean

486

Average wage level as a new port performance indicator: A method and illustration of U.S. port counties  

E-Print Network [OSTI]

1 Average wage level as a new port performance indicator: A method and illustration of U.S. port Port-related impacts are often presented in terms of quantity, e.g. employment generated in the port, it is assumed people employed in the port would not be employed elsewhere if there was no employment in the port

Paris-Sud XI, Université de

487

Solar Energy With an average of over 300 sunny days a year, Israel is an ideal labo-  

E-Print Network [OSTI]

35 Solar Energy With an average of over 300 sunny days a year, Israel is an ideal labo- ratory for testing one particularly promising alternative to fossil fuels: solar energy. In contrast to fossil fuels as much energy strikes the earth in the form of solar radiation as is used in a whole year throughout

Maoz, Shahar

488

Linear Relationship Between Weighted-Average Madelung and Density Functional Theory Energies for MgO Nanotubes  

E-Print Network [OSTI]

Energies for MgO Nanotubes Journal: The Journal of Physical Chemistry Manuscript ID: jp-2012-08041d.R1 Constants and Density Functional Theory Energies for MgO Nanotubes Mark D. Baker,*1 A. David Baker2 , Jane-average Madelung constants of MgO nanotubes correlate in an essentially perfectly linear way with cohesive energies

Hanusa, Christopher

489

Approximating the Average Response Time in Broadcast Scheduling Nikhil Bansal Moses Charikar y Sanjeev Khanna z Joseph (Se) Naor x  

E-Print Network [OSTI]

Approximating the Average Response Time in Broadcast Scheduling Nikhil Bansal #3; Moses Charikar y the unsatis#12;ed requests, broadcasts it, and removes the request from the queue. Once a client makes@us.ibm.com. y Computer Science Dept., Princeton University, Princeton, NJ 08544. E-mail: moses

Bansal, Nikhil

490

Conditional averaging procedure for the elimination of the small-scale modes from incompressible fluid turbulence at high Reynolds numbers  

Science Journals Connector (OSTI)

High-wave-number modes are eliminated in a band characterized by its width parameter ? in k space. The requisite conditional average is evaluated as an approximation in which coupling effects are neglected to order ?2, for small ?. A fixed point was found under renormalization-group transformation, which corresponded to the Kolmogorov -5/3 spectrum with spectral constant ?=1.60.

W. D. McComb and A. G. Watt

1990-12-24T23:59:59.000Z

491

What Global Warming Looks Like The July 2010 global map of surface temperature anomalies (Figure 1), relative to the average  

E-Print Network [OSTI]

), relative to the average July in the 1951-1980 period of climatology, provides a useful picture of current climate. It was more than 5°C (about 10°F) warmer than climatology in the eastern European region substantial areas cooler than climatology, including a region in central Asia and the southern part of South

492

Absolute measurement of small-amplitude vibrations by time-averaged heterodyne holography with a dual local oscillator  

E-Print Network [OSTI]

Absolute measurement of small-amplitude vibrations by time-averaged heterodyne holography. This technique enables absolute measurements of sub-nanometric out-of-plane vibration amplitudes. Laser Doppler interferometric methods are commonly used for non-contact measurements of mechanical vibrations. These methods

Paris-Sud XI, Université de

493

Signal averaging x-ray streak camera with picosecond jitter A. Maksimchuk, M. Kim, J. Workman, G. Korn,a)  

E-Print Network [OSTI]

pulse laser-produced plasma. Accumulation of the streaked x-ray signals significantly improvedSignal averaging x-ray streak camera with picosecond jitter A. Maksimchuk, M. Kim, J. Workman, G picosecond x-ray streak camera using a dc-biased photoconductive switch as a generator of a high-voltage ramp

Umstadter, Donald

494

NATCOR -Xpress case study Margaret Oil produces three products: gasoline, jet fuel, and heating oil. The average  

E-Print Network [OSTI]

NATCOR - Xpress case study Margaret Oil produces three products: gasoline, jet fuel, and heating oil. The average octane levels must be at least 8.5 for gasoline, 7 for jet fuel, and 4.5 for heating to produce gasoline or jet fuel. Distilled oil can be used to produce all three products. The octane level

Hall, Julian

495

NATCOR -Xpress case study (advanced) Margaret Oil produces three products: gasoline, jet fuel, and heating oil. The average  

E-Print Network [OSTI]

NATCOR - Xpress case study (advanced) Margaret Oil produces three products: gasoline, jet fuel, and heating oil. The average octane levels must be at least 8.5 for gasoline, 7 for jet fuel, and 4. Distilled naphtha can be used only to produce gasoline or jet fuel. Distilled oil can be used to produce

Hall, Julian

496

Ensemble phase averaging equations for multiphase flows in porous media, part I: the bundle-of-tubes model  

SciTech Connect (OSTI)

A bundle-of-tubes construct is used as a model system to study ensemble averaged equations for multiphase flow in a porous material. Momentum equations for the fluid phases obtained from the method are similar to Darcy's law, but with additional terms. We study properties of the additional terms, and the conditions under which the averaged equations can be approximated by the diffusion model or the extended Darcy's law as often used in models for multiphase flows in porous media. Although the bundle-of-tubes model is perhaps the simplest model for a porous material, the ensemble averaged equation technique developed in this paper assumes the very same form in more general treatments described in Part 2 of the present work (Zhang 2009). Any model equation system intended for the more general cases must be understood and tested first using simple models. The concept of ensemble phase averaging is dissected here in physical terms, without involved mathematics through its application to the idealized bundle-of-tubes model for multiphase flow in porous media.

Yang, Dali [Los Alamos National Laboratory; Zhang, Duan [Los Alamos National Laboratory; Currier, Robert [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

497

Vacancy ordered phases in AlCuNi as average lattices Anandh Subramaniam a,*, S. Ranganathan b  

E-Print Network [OSTI]

Vacancy ordered phases in Al­Cu­Ni as average lattices Anandh Subramaniam a,*, S. Ranganathan b, Bangalore 560012, India Abstract Vacancy ordered phases (VOP) in the Al­Cu­Ni system have an arrangement. Introduction Vacancy ordered phases (VOP) in Al-TM (transition metal) systems are a special class of structures

Subramaniam, Anandh

498

Average Rate Speed Scaling # Nikhil Bansal 1 , David P. Bunde 2 , HoLeung Chan 3 , and Kirk Pruhs 3  

E-Print Network [OSTI]

of such a processor to conserve energy. In this setting, the operating system must not only have a job selection to conserve energy and optimize some Quality of Service (QoS) measure of the resulting schedule. Yao, Demers is to minimize the energy used. They proposed an online speed scaling algorithm Average Rate (AVR) that runs each

Bunde, David

499

Particle-In-Cell/Monte Carlo Simulation of Ion Back BomBardment in a High Average Current RF Photo-Gun  

E-Print Network [OSTI]

High Average Current RF Photo-Gun J. Qiang Lawrence Berkeleycurrent radio-frequency (RF) photo-gun using a particle-in-of high average current RF photo-guns have been proposed or

Qiang, J.

2010-01-01T23:59:59.000Z

500

Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014  

Broader source: Energy.gov [DOE]

For the 2014 model year, midsize hybrid cars averaged 43.4 miles per gallon (mpg) while midsize non-hybrid cars averaged 28.7 mpg; the difference between the two has narrowed due to the rising...